Informatica Student Guide 4p3457

. All Rights Reserved. The PCRE library included with this software is Copyright (c) 1997-2001 University of Cambridge Regular expression is provided by the PCRE library package, which is open source software, written by Philip Hazel. The source for this library may be found at ftp://ftp.csx.cam.ac.uk/pub/software/programming/ pcre. InstallAnywhere is Copyright 2005 Zero G Software, Inc. All Rights Reserved. Portions of the Software are Copyright (c) 1998-2005 The OpenLDAP Foundation. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted only as authorized by the OpenLDAP Public License, available at http://www.openldap.org/software/release/license.html. This Software is protected by U.S. Patent Numbers 6,208,990; 6,044,374; 6,014,670; 6,032,158; 5,794,246; 6,339,775 and other U.S. Patents Pending. DISCLAIMER: Informatica Corporation provides this documentation “as is” without warranty of any kind, either express or implied, including, but not limited to, the implied warranties of non-infringement, merchantability, or use for a particular purpose. The information provided in this documentation may include technical inaccuracies or typographical errors. Informatica could make improvements and/or changes in the products described in this documentation at any time without notice.

Table of Contents List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiii Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xix About This Guide . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xx Purpose . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xx Audience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xx Document Conventions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xx Other Informatica Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi Obtaining Informatica Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi Visiting Informatica Customer Portal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi Visiting the Informatica Web Site . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi Visiting the Informatica Developer Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi Visiting the Informatica Knowledge Base . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi Obtaining Informatica Professional Certification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxi Providing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxii Obtaining Technical . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxii

Unit 1: Data Integration Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Lesson 1-1. Introducing Informatica . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Lesson 1-2. Data Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Lesson 1-3. Mappings and Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Mappings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Lesson 1-4. Tasks and Workflows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Workflows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Lesson 1-5. Metadata . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Unit 2: PowerCenter Components and Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Lesson 2-1. PowerCenter Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Lesson 2-2. PowerCenter Client Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Designer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Workflow Manager . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Unit 2 Lab: Using the Designer and Workflow Manager . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Step 1: Launch the Designer and to the Repository . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Step 2: Navigate Folders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Step 3: Navigating the Designer Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Table of Contents Informatica PowerCenter 8 Level I Developer

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Step 4: Create and Save Shortcuts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Step 5: Launch the Workflow Manager . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Step 6: Navigating the Workflow Manager Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Step 7: Workflow Manager Task Toolbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Step 8: Database Connection Objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Unit 3: Source Qualifier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Lesson 3-1. Source Qualifier Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Source Qualifier Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Datatype Conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Lesson 3-2. Velocity Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 Lab Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 Architecture and Connectivity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

Unit 3 Lab A: Load Payment Staging Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 Section 1: -Through Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Step 1: Launch the Designer and Review the Source and Target Definitions . . . . . . . . . . . . . . 38 Step 2: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Step 3: Create a Workflow and a Session Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 Step 4: Run the Workflow and Monitor the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Lesson 3-3. Source Qualifier s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46

Unit 3 Lab B: Load Product Staging Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Section 2: Homogeneous . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Step 1: Import the Source Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Step 2: Import the Relational Target Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Step 3: Create the Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Step 4: Create the Session and Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Step 5: Run the Workflow and Monitor the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Lesson 3-4. Source Pipelines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57

Unit 3 Lab C: Load Dealership and Promotions Staging Table . . . . . . . . . . . . . . . . . . . . 59 Section 3: Two Pipeline Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Step 1: Import the Source Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Step 2: Import the Target Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Step 3: Create the Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Step 4: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63

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Unit 4: Expression, Filter, File Lists, and Workflow Scheduler . . . . . . . . . . . . . . . . . . . . 67 Lesson 4-1. Expression Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 Lesson 4-2. Filter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 Lesson 4-3. File Lists . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 Lesson 4-4. Workflow Scheduler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 Run Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76

Unit 4 Lab: Load the Customer Staging Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Step 1: Create a Flat File Source Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Step 2: Create a Relational Target Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Step 3: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 Step 4: Create a Filter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 Step 5: Create an Expression Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 Step 6: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 Step 7: Schedule a Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

Unit 5: s, Features and Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 Lesson 5-1. er Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 er Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 er Cache . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 Lesson 5-2. Shortcuts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101

Unit 5 Lab A: Load Sales Transaction Staging Table . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 Step 1: Create a Flat File Source Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 Step 2: Create a Relational Source Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 Step 3: Create a Relational Target Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 Step 4: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 Step 5: Create a er Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 Step 6: Link the Target Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Step 7: Create a Workflow and Session Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 Step 8: Start the Workflow and View Results in the Workflow Monitor . . . . . . . . . . . . . . . . 111 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112

Unit 5 Lab B: Features and Techniques I . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Open a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Feature 1: Auto Arrange . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Feature 2: Remove Links . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 Table of Contents Informatica PowerCenter 8 Level I Developer

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Feature 3: Revert to Saved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 Feature 4: Link Path . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 Feature 5: Propagating Ports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 Feature 6: Autolink by Name and Position . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 Feature 7: Moving Ports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 Feature 8: Shortcut to Port Editing from Normal View . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 Feature 9: Create Transformation Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 Feature 10: Scale-to-Fit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 Feature 11: Designer Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Feature 12: Object Shortcuts and Copies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 Feature 13: Copy Objects Within and Between Mappings . . . . . . . . . . . . . . . . . . . . . . . . . . 128

Unit 6: Lookups and Reusable Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 Lesson 6-1. Lookup Transformation (Connected) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 Lesson 6-2. Reusable Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134

Unit 6 Lab A: Load Employee Staging Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 Step 1: Create a Flat File Source Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 Step 2: Create a Relational Target Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 Step 3: Step Three: Create a Reusable Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 Step 4: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144 Step 5: Create a Lookup Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 Step 6: Add a Reusable Expression Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 Step 7: Link Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 Step 8: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148

Unit 6 Lab B: Load Date Staging Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 Step 1: Create a Flat File Source Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 Step 2: Create a Relational Target Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 Step 3: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 Step 4: Create a Workflow and a Session Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 Step 5: Run the Workflow and Monitor the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161

Unit 7: Debugger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Lesson 7-1. Debugging Mappings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163

Unit 7 Lab: Using the Debugger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170 Step 1: Copy and Inspect the Debug Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170 vi


Step 2: Step Through the Debug Wizard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170 Step 3: Use the Debugger to Locate the Error . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 Step 4: Fix the Error and Confirm the Data is Correct . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174

Unit 8: Sequence Generator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 Lesson 8-1. Sequence Generator Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177

Unit 8 Lab: Load Date Dimension Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 Step 1: Create a Shortcut to a Shared Relational Source Table . . . . . . . . . . . . . . . . . . . . . . . 185 Step 2: Create a Shortcut to a Shared Relational Target Table . . . . . . . . . . . . . . . . . . . . . . . 185 Step 3: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 Step 4: Create a Sequence Generator Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186 Step 5: Link the Target Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 Step 6: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189

Unit 9: Lookup Caching, More Features and Techniques. . . . . . . . . . . . . . . . . . . . . . . . 191 Lesson 9-1. Lookup Caching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 Lookup Cache . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192

Unit 9 Lab A: Load Promotions Dimension Table (Lookup and Persistent Cache) . . . . 195 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198 Step 1: Create a Shortcut to a Shared Relational Source Table . . . . . . . . . . . . . . . . . . . . . . . 198 Step 2: Create a Shortcut to Shared Relational Target Table . . . . . . . . . . . . . . . . . . . . . . . . 198 Step 3: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198 Step 4: Create Lookups for the Start and Expiry Date Keys . . . . . . . . . . . . . . . . . . . . . . . . . 198 Step 5: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203

Unit 9 Lab B: Features and Techniques II . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206 Open a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206 Feature 1: Find in Workspace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206 Feature 2: View Object Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 Feature 3: Compare Objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208 Feature 4: Overview Window . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211

Unit 10: Sorter, Aggregator and Self- . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213 Lesson 10-1. Sorter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213 Sorter Cache . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215


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Lesson 10-2. Aggregator Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216 Aggregator Cache . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219 Lesson 10-3. Active and ive Transformations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 Lesson 10-4. Data Concatenation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 Lesson 10-5. Self- . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222

Unit 10 Lab: Reload the Employee Staging Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 Step 1: Copy an Existing Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 Step 2: Examine Source Data to Determine a Key for Self- . . . . . . . . . . . . . . . . . . . . . . 230 Step 3: Prepare the New Mapping for Modification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 Step 4: Create a Sorter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 Step 5: Create a Filter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232 Step 6: Create an Aggregator Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 Step 7: Create a er Transformation for the Self- . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 Step 8: Get Salaries from the Lookup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234 Step 9: Connect the er and Lookup to the Target . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235 Step 10: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

Unit 11: Router, Update Strategy and Overrides . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241 Lesson 11-1. Router Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241 Lesson 11-2. Update Strategy Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 Lesson 11-3. Expression Default Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 Lesson 11-4. Source Qualifier Override . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247 Lesson 11-5. Target Override . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249 Lesson 11-6. Session Task Mapping Overrides . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250

Unit 11 Lab: Load Employee Dimension Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 Step 1: Copy the Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 Step 2: Edit the Expression Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 Step 3: Create a Router Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258 Step 4: Create an Update Strategy for INSERTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258 Step 5: Create Lookup to DIM_DATES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 Step 6: Link upd_INSERTS and lkp_DIM_DATES_INSERTS to Target DIM_EMPLOYEE_INSERTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260 Step 7: Create an Update Strategy for UPDATES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260 Step 8: Create Second Lookup to DIM_DATES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260 Step 9: Link upd_UPDATES and lkp_DIM_DATES_UPDATES to Target DIM_EMPLOYEE_UPDATES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260 Step 10: Link ERRORS Router Group to DIM_EMPLOYEES_ERR . . . . . . . . . . . . . . . . . . 261 Step 11: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261 viii


Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264 Step 12: Prepare, Run, and Monitor the Second Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264

Unit 12: Dynamic Lookup and Error Logging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Lesson 12-1. Dynamic Lookup Cache . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Lesson 12-2. Error Logging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274 Error Log Types . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275 Log Row Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277 Log Source Row Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277

Unit 12 Lab: Load Customer Dimension Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282 Step 1: Create a Relational Source Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282 Step 2: Create a Relational Target Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282 Step 3: Create a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282 Step 4: Create a Lookup Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282 Step 5: Create a Filter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 Step 6: Create an Update Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 Step 7: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287 Error Log Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 Reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288

Unit 13: Unconnected Lookup, Parameters and Variables . . . . . . . . . . . . . . . . . . . . . . . 291 Lesson 13-1. Unconnected Lookup Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291 Connected versus Unconnected Lookup Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . 294 s versus Lookups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295 Lesson 13-2. System Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295 Lesson 13-3. Mapping Parameters and Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297

Unit 13 Lab: Load Sales Fact Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307 Step 1: Create an Internal Relationship Between two Source Tables . . . . . . . . . . . . . . . . . . . 307 Step 2: Create a Mapping Parameter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307 Step 3: Step Three: Create an Unconnected Lookup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 Step 4: Add Unconnected Lookup Test to Expression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 Step 5: Create Aggregator Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 Step 6: Create and Run the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312 Data Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314

Unit 14: Mapplets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 Lesson 14-1. Mapplets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 Table of Contents Informatica PowerCenter 8 Level I Developer

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Mapplets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 Mapping Input Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 Mapping Output Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321

Unit 14 Lab: Create a Mapplet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326 Step 1: Create the Mapplet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326 Step 2: Add Mapplet to Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327

Unit 15: Mapping Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 Lesson 15-1. Deg Mappings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 High Level Process Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332 Mapping Specifics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332

Unit 15 Workshop: Load Promotions Daily Aggregate Table . . . . . . . . . . . . . . . . . . . . . 335 Workshop Details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336 Sources and Targets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336 Mapping Details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336 Workflow Details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339 Run Details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340

Unit 16: Workflow Variables and Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 Lesson 16-1. Link Conditions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 Lesson 16-2. Workflow Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344 Lesson 16-3. Assignment Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346 Lesson 16-4. Decision Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 Lesson 16-5. Email Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348

Unit 16 Lab: Load Product Weekly Aggregate Table . . . . . . . . . . . . . . . . . . . . . . . . . . . 351 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 Step 1: Copy the Mappings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 Step 2: Copy the Existing Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 Step 3: Create the Assignment Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354 Step 4: Create the Decision Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356 Step 5: Create the Session Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356 Step 6: Create the Email Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357 Step 7: Start the Workflow and Monitor the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358

Unit 17: More Tasks and Reusability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363 Lesson 17-1. Event Wait Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363 Pre-Defined Event . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364

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-Defined Event . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365 Lesson 17-2. Event Raise Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366 Lesson 17-3. Command Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367 Lesson 17-4. Reusable Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 Lesson 17-5. Reusable Session Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 Lesson 17-6. Reusable Session Configurations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370 Lesson 17-7. pmcmd Utility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 371

Unit 18: Worklets and More Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 Lesson 18-1. Worklets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 Lesson 18-2. Timer Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 376 Lesson 18-3. Control Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377

Unit 18 Lab: Load Inventory Fact Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381 Instructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 Step 1: Copy the Mappings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 Step 2: Create a Worklet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 Step 3: Create a Session Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 Step 4: Create a Timer Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 Step 5: Create an Email Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 Step 6: Create a Control Task . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385 Step 7: Create the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 Step 8: Start the Workflow and Monitor the Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387

Unit 19: Workflow Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 Lesson 19-1. Deg Workflows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 Workflow Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390 Workflow Specifics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390 Unit 19 Workshop: Load All Staging Tables in Single Workflow . . . . . . . . . . . . . . . . . . . . . . . . 393 Workshop Details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393

Unit 20: Beyond This Course. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397


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2-1. Navigator Window . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-2. DEV_SHARED Folder and Subfolders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-3. Designer Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-4. DEV_SHARED Target subfolder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-5. Student folder with new objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-6. Application Toolbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-7. Task Toolbar Default Position . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-8. Task Toolbar After Being Moved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-9. Relational Connection Browser . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-1. Normal view of the payment flat file definition displayed in the Source Analyzer . . . . 3-2. Mapping with Source and Target Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-3. Normal view of the completed mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-4. Completed Session Task Target Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-5. Completed Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-6. Successful Run of a Workflow Depicted in the Task View of the Workflow Monitor . 3-7. Properties for the Completed Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-8. Source/Target Statistics for the Completed Session Run . . . . . . . . . . . . . . . . . . . . . . 3-9. Data Preview of the STG_PAYMENT Target Table . . . . . . . . . . . . . . . . . . . . . . . . . 3-10. Source Definitions with a PK/FK Relationship Displayed in the Source Analyzer . . . 3-11. Normal View of the Completed Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-12. Generated SQL for the m_Stage_Product Mapping . . . . . . . . . . . . . . . . . . . . . . . . . 3-13. Properties of the Completed Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-14. Source/Target Statistics for the Completed Session Run . . . . . . . . . . . . . . . . . . . . . 3-15. Data Preview of the STG_PRODUCT Target Table . . . . . . . . . . . . . . . . . . . . . . . . 3-16. Normal view of the promotions flat file definition displayed in the Source Analyzer . 3-17. Iconic View of the Completed Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-18. Properties of the Completed Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3-19. Source/Target Statistics for the Completed Session Run . . . . . . . . . . . . . . . . . . . . . 3-20. Data Preview of the STG_DEALERSHIP Target Table . . . . . . . . . . . . . . . . . . . . . . 3-21. Data Preview of the STG_PROMOTIONS Target Table . . . . . . . . . . . . . . . . . . . . 4-1. Source Analyzer View of the customer_layout Flat File Definition . . . . . . . . . . . . . . . 4-2. Target Designer View of the STG_CUSTOMERS Table Relational Definition . . . . . . 4-3. Mapping with Source and Target Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-4. Mapping with Newly Added Filter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . 4-5. Properties Tab of the Filter Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-6. Completed Properties Tab of the Filter Transformation . . . . . . . . . . . . . . . . . . . . . . 4-7. Filter Transformation Linked to the Expression Transformation . . . . . . . . . . . . . . . . 4-9. Iconic View of the Completed Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-8. Sample Expression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-10. Session Task Source Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-11. Contents of the customer_list.txt File List . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-12. Properties for the Completed Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-13. Source/Target Statistics for the Completed Session Run . . . . . . . . . . . . . . . . . . . . . 4-14. Data Preview of the STG_CUSTOMERS Target Table . . . . . . . . . . . . . . . . . . . . . . 4-15. General Properties for the Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-16. Customized Repeat Selections . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4-17. Completed Schedule Options. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

List of Figures Informatica PowerCenter 8 Level I Developer

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. 18 . 18 . 19 . 21 . 22 . 22 . 23 . 24 . 25 . 38 . 39 . 40 . 42 . 43 . 43 . 44 . 44 . 45 . 52 . 54 . 54 . 56 . 56 . 56 . 62 . 63 . 63 . 64 . 64 . 65 . 82 . 83 . 83 . 84 . 85 . 85 . 86 . 88 . 88 . 90 . 90 . 91 . 91 . 92 . 93 . 94 . 94

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5-1. Normal View of the Heterogeneous Sources, Source Qualifiers and Target . . . . . . . . . . . . . . 5-2. er Transformation Button . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-3. Normal View of Heterogeneous Sources Connected to a er Transformation . . . . . . . . . . 5-5. Edit View of the Condition Tab for er Transformation Without a Condition . . . . . . . . . 5-4. Edit View of the Ports Tab for the er Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . 5-6. Edit View of the Condition Tab for the er Transformation with Completed Condition . 5-7. Normal View of Completed Mapping Heterogeneous Sources Not Displayed . . . . . . . . . . . . 5-8. Task Details of the Completed Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-9. Source/Target Statistics for the Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-10. Data Preview of the STG_TRANSACTIONS Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-11. View of an Unorganized Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-12. Arranged View of a Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-13. Iconic View of an Arranged Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-14. Selecting Multiple Links . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-15. Designer Warning Box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-16. Selecting the forward link path . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-17. Highlighted forward link path . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-18. Highlighted link path going forward and backward . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-19. Selecting to propagate the attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-20. Propagation attribute dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-21. Autolink dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-22. Defining a prefix in the autolink dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-23. Expression after the AGE port has been moved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-24. Click and drag method of moving ports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-25. Creating a transformation using the menu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-26. Create Transformation dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-27. Normal View of the Newly Created Aggregator Transformation . . . . . . . . . . . . . . . . . . . . 5-28. Zoom options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5-29. Navigator window in the Designer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-1. Source Analyzer view of the employees_layout flat file definition . . . . . . . . . . . . . . . . . . . . . 6-2. Target Designer view of the STG_EMPLOYEES relational table definition . . . . . . . . . . . . . 6-3. Transformation edit dialog box showing how to make a transformation reusable . . . . . . . . . 6-4. Question box letting you know the action is irreversible . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-5. Transformation edit dialog box of a reusable transformation . . . . . . . . . . . . . . . . . . . . . . . . 6-6. Navigator window depicting the Transformations node . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-7. Partial mapping with source and target . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-8. Transformation Toolbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-9. Lookup Transformation table location dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-10. Dialog box 1 of the 3 step Flat File Import Wizard . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-11. Normal view of the newly created Lookup Transformation . . . . . . . . . . . . . . . . . . . . . . . . 6-12. Lookup Transformation condition box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-13. Source properties for the employee_list file list . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-14. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-15. Source/Target Statistics of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-16. Data Preview of the STG_EMPLOYEES target table. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-17. Mapping with Source and Target definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-18. Completed Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-19. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-20. Source/Target Statistics for the session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6-21. Data preview of the STG_DATES table - screen 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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. 106 . 107 . 107 . 108 . 108 . 109 . 110 . 111 . 111 . 112 . 116 . 117 . 117 . 118 . 118 . 119 . 119 . 120 . 120 . 121 . 122 . 123 . 124 . 124 . 125 . 125 . 125 . 126 . 127 . 142 . 142 . 143 . 143 . 143 . 144 . 144 . 145 . 145 . 145 . 146 . 147 . 148 . 149 . 149 . 150 . 157 . 158 . 159 . 160 . 161


Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure table Figure Figure Figure Figure Figure Figure Figure Figure

6-22. Data preview of the STG_DATES table - screen 2 scrolled right . . . . . . . . . . . . . . . . . . . . . . . 161 7-1. Debug Session creation dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 7-2. Debug Session connections dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 7-3. Designer while running a Debug Session . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 7-4. Customize Toolbars Dialog Box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173 7-5. Debugger Toolbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173 8-1. Expanded view of m-DIM_DATES_LOAD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186 8-2. Sequence Generator Transformation icon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186 8-3. Normal view of the sequence generator NEXTVAL port connected to a target column . . . . . . . . 186 8-4. Normal view of connected ports to the target . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 8-5. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 8-6. Source/Target statistics for the session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 8-7. Data Preview of the DIM_DATES table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 9-1. m_DIM_PROMOTIONS_LOAD mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198 9-2. m_DIM_DATES from the previous lab that populated the DIM_DATES table . . . . . . . . . . . . . 199 9-3. Select Lookup Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 9-4. Lookup Condition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200 9-5. m_DIM_POROMOTIONS_LOAD completed mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201 9-6. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202 9-7. Source/Target Statistics of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202 9-8. Data Preview of the DIM_PROMOTIONS target table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 9-9. Preview files created when Persistent Cache is set on Lookup Transformation . . . . . . . . . . . . . . . 203 9-10. Find in workspace dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206 9-11. View Dependencies dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 9-12. Transformation compare objects dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208 9-13. Compare Transformation objects Properties details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 9-14. Target comparison dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 9-15. Column differences between two target tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 10-1. m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD mapping . . . . . . . . . . . . . . . . . . . . . . . 230 10-2. Employee_central.txt. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 10-3. Renaming an instance of a Reusable Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 10-4. m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD after most links removed . . . . . . . . . . . 231 10-5. Sorter Transformation Icon on Toolbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 10-6. Aggregator Transformation Icon on Toolbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 10-7. Partial mapping flow depicting the flow from the Sorter to the Filter to the Aggregator. . . . . . . 233 10-8. Split data stream ed back together . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234 10-9. Iconic view of the completed self- mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 10-10. Source properties for the employee_list.txt file list . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 10-11. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 10-12. Source/Target Statistics of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 10-13. Data preview of the self- of Managers and Employees in the STG_EMPLOYEES target screen 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238 10-14. Data preview of the STG_EMPLOYEES target table - screen 2 scrolled right . . . . . . . . . . . . . 238 11-1. Mapping copy Target Dependencies dialog box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 11-2. Iconic view of the m_DIM_EMPLOYEES_MAPPING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 11-3. Router Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258 11-4. Update Strategy set to INSERT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 11-5. Iconic view of the completed mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261 11-6. Source Filter Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262 11-7. Writers section of Target schema . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263


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Figure 11-8. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 11-9. Source/Target Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 11-10. Data Results for DIM_EMPLOYEES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 11-11. Data Results for the Error Flat File (Located on the Machine Hosting the Integration Service Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 11-12. Task Details tab results for second run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 11-13. Source/Target Statistics for second run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 11-14. Data preview showing updates to the target table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-1. Port tab view of a dynamic Lookup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-2. Port to Port Association . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-3. Iconic View of the Completed Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-4. Error Log Choice Screen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-5. Task Details of the Completed Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-6. Source/Target Statistics for the Session Run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-7. Data preview of the DIM_CUSTOMERS table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 12-8. Flat file error log. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-1. Source Analyzer view of the STG_TRANSACTIONS and STG_PAYMENT tables . . . . . . . . . Figure 13-2. Declare Parameters and Variables screen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-3. Parameter entry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-4. Lookup Ports tab showing input, output and return ports checked/unchecked . . . . . . . . . . . . Figure 13-5. Aggregator ports with Group By ports checked . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-6. Finished Aggregator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-7. Aggregator to Target Links . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-8. Iconic view of the completed mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-9. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-10. Source/Target Statistics of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 13-11. Data Preview of the FACT_SALES target table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 14-1. Mapplet Designer view of mplt_AGG_SALES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 14-2. Mapplet Designer view of MPLT_AGG_SALES with Input and Output transformations . . . . Figure 14-3. Iconic view of the m_FACT_SALES_LOAD_MAPPLET_xx mapping . . . . . . . . . . . . . . . . . . Figure 15-1. Source table definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 15-2. Target table definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 15-3. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 15-4. Source/Target Statistics of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 15-5. Data Preview of the FACT_PROMOTIONS_AGG_DAILY table . . . . . . . . . . . . . . . . . . . . . Figure 16-1. Workflow variable declaration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-2. Link condition testing if a session run was successful . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-3. Assignment Task expression declaration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-4. Decision Task Expression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-5. Link condition testing for a Decision Task condition of TRUE . . . . . . . . . . . . . . . . . . . . . . . Figure 16-6. Email Task Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-7. Completed Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-8. Gantt chart view of the completed workflow run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-9. View Workflow Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-10. Value of the $$WORKFLOW_RUNS variable after first run . . . . . . . . . . . . . . . . . . . . . . . . Figure 16-11. Gantt chart view of the completed workflow run after the weekly load runs . . . . . . . . . . . . . Figure 16-12. Task Details of the completed session run . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 18-1. Timer Task Relative time setting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 18-2. Email Task Properties Tab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Figure 18-3. Control Task Properties Tab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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. 263 . 263 . 264 . 264 . 265 . 265 . 266 . 283 . 284 . 285 . 285 . 286 . 286 . 287 . 288 . 307 . 308 . 308 . 309 . 310 . 311 . 312 . 312 . 313 . 313 . 314 . 326 . 327 . 328 . 336 . 336 . 340 . 340 . 340 . 354 . 355 . 355 . 356 . 357 . 358 . 358 . 359 . 359 . 360 . 360 . 360 . 384 . 385 . 386


Figure 18-4. Completed Worklet. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 Figure 18-5. Completed Workflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 Figure 18-6. Gantt chart view of the completed workflow run. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387


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Preface

Welcome to the PowerCenter 8 Level I Developer course. Data integration is a large undertaking with many potential areas of concern. The PowerCenter infrastructure will greatly assist you in your data integration efforts and alleviate much of your risk. This course will prepare the developers for that challenge by teaching you the most commonly used components of the product. The students will build a small data warehouse using PowerCenter to extract from source tables and files, transform the data, load it into a staging area and finally into the data warehouse. The instructor will teach you about mappings, transformations, sources, targets, workflows, sessions, workflow tasks, connections and the Velocity methodology.

Preface Informatica PowerCenter 8 Level I Developer

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About This Guide Purpose Welcome to the PowerCenter 8 Level I Developer course. This course is designed to: ♦

Enable you to use PowerCenter developer tools to: ♦

Create and debug mappings ♦ Create, run, monitor and troubleshoot workflows Provide experience in deg mappings

♦

Audience This course is designed for data integration and data warehousing implementers. You should be familiar with data integration and data warehousing terminology and in using Microsoft Windows.

Document Conventions This guide uses the following formatting conventions: If you see…

It means…

Example

>

Indicates a submenu to navigate to.

Click Repository > Connect. In this example, you should click the Repository menu or button and choose Connect.

xx

boldfaced text

Indicates text you need to type or enter.

Click the Rename button and name the new source definition S_EMPLOYEE.

UPPERCASE

Database tables and column names are shown in all UPPERCASE.

T_ITEM_SUMMARY

italicized text

Indicates a variable you must replace with specific information.

Connect to the Repository using the assigned _id.

Note:

The following paragraph provides additional facts.

Note: You can select multiple objects to import by using the Ctrl key.

Tip:

The following paragraph provides suggested uses or a Velocity best practice.

Tip: The m_ prefix for a mapping name is…


Other Informatica Resources In addition to the student guides, Informatica provides these other resources: ♦

Informatica Documentation

♦

Informatica Customer Portal

♦

Informatica web site

♦

Informatica Developer Network

♦

Informatica Knowledge Base

♦

Informatica Professional Certification

♦

Informatica Technical

Obtaining Informatica Documentation You can access Informatica documentation from the product CD or online help.

Visiting Informatica Customer Portal As an Informatica customer, you can access the Informatica Customer Portal site at http:// my.informatica.com. The site contains product information, group information, newsletters, access to the Informatica customer case management system (ATLAS), the Informatica Knowledge Base, and access to the Informatica community.

Visiting the Informatica Web Site You can access Informatica’s corporate web site at http://www.informatica.com . The site contains information about Informatica, its background, events, and locating your closest sales office. You will also find product information, as well as literature and partner information. The services area of the site includes important information on technical , training and education, and implementation services.

Visiting the Informatica Developer Network The Informatica Developer Network is a web-based forum for third-party software developers. You can access the Informatica Developer Network at the following URL: http://devnet.informatica.com

The site contains information on how to create, market, and customer-oriented add-on solutions based on interoperability interfaces for Informatica products.

Visiting the Informatica Knowledge Base As an Informatica customer, you can access the Informatica Knowledge Base at http:// my.informatica.com. The Knowledge Base lets you search for documented solutions to known technical issues about Informatica products. It also includes frequently asked questions, technical white papers, and technical tips.

Obtaining Informatica Professional Certification You can take, and , exams provided by Informatica to obtain Informatica Professional Certification. For more information, go to: http://www.informatica.com/services/education_services/certification/default.htm Preface Informatica PowerCenter 8 Level I Developer

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Providing Email any comments on this guide to [email protected].

Obtaining Technical There are many ways to access Informatica Technical . You can call or email your nearest Technical Center listed in the following table, or you can use our Web Service. Use the following email addresses to Informatica Technical : ♦

[email protected] for technical inquiries

♦

[email protected] for general customer service requests

Web requires a name and . You can request a name and at http:// my.informatica.com .

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North America / South America

Europe / Middle East / Africa

Asia / Australia

Informatica Corporation Headquarters 100 Cardinal Way Redwood City, California 94063 United States

Informatica Software Ltd. 6 Waltham Park Waltham Road, White Waltham Maidenhead, Berkshire SL6 3TN United Kingdom

Informatica Business Solutions Pvt. Ltd. 301 & 302 Prestige Poseidon 139 Residency Road Bangalore 560 025 India

Toll Free 877 463 2435

Toll Free 00 800 4632 4357

Toll Free Australia: 00 11 800 4632 4357 Singapore: 001 800 4632 4357

Standard Rate United States: 650 385 5800

Standard Rate Belgium: +32 15 281 702 : +33 1 41 38 92 26 : +49 1805 702 702 Netherlands: +31 306 022 797 United Kingdom: +44 1628 511 445

Standard Rate India: +91 80 5112 5738


Unit 1: Data Integration Concepts In this unit you will learn about: ♦

Informatica

♦

Data Integration

♦

Mapping and Transformations

♦

Workflows and Tasks

♦

Metadata

Lesson 1-1. Introducing Informatica Informatica provides data integration tools for both batch and real-time applications.

Unit 1: Data Integration Concepts Informatica PowerCenter 8 Level I Developer

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Informatica is d with many standards organizations, including:

2

♦

Integration Consortium. www.eaiindustry.org

♦

Object Management Group (OMG). www.omg.org.

♦

Common Warehouse Metamodel (CWM). www.omg.org/cwm

♦

Enterprise Grid Alliance. www.gridalliance.org

♦

Global Grid Forum (GGF). www.gridforum.org Unit 1: Data Integration Concepts Informatica PowerCenter 8 Level I Developer

♦

XML.org. www.xml.org

♦

Web Services Interoperability Organization. www.ws-i.org

♦

Supply-Chain Council. www.supply-chain.org

♦

Carnegie-Mellon Software Engineering Institute (SEI). www.sei.cmu.edu

♦

APICS Educational and Research Foundation. www.apics.org

♦

Shared Services and Business Process Outsourcing Association (SBPOA). www.sharedxpertise.org.

Additional resources about Informatica can be found on the following websites: ♦

www.informatica.com—provides information on Professional Services and Education Services

♦

my.informatica.com—provides access to Technical , product documentation, Velocity methodology, knowledge base, and mapping templates

♦

devnet.informatica.com—the Informatica Developers Network offers discussion forums, web seminars, and technical papers.

Lesson 1-2. Data Integration Traditionally, data integration is a batch process—to extract, transform and load (ETL) data from transactional systems to data warehouses.


3

The ETL process can be imagined as an assembly line.

Informatica PowerCenter is deployed for a variety of batch and real-time data integration purposes:

4

♦

Data Migration. ERP consolidation, legacy conversion, new application implementation, system consolidation

♦

Data Synchronization. application integration, business to business data transfer


♦

Data Warehousing. Business intelligence reporting, data marts, data mart consolidation, operational data stores

♦

Data Hubs. master data management; reference data hubs; single view of customer, product, supplier, employee, etc.

♦

Business Activity Monitoring. business process improvement, real-time reporting

Informatica partners with Composite Software for Enterprise Information Integration (EII): on-the-fly federated views and real-time reporting of information spread across multiple data sources, without moving the data into a centralized repository.

Lesson 1-3. Mappings and Transformations Mappings

Transformations Transformations change the data they receive.


5

PowerCenter includes the following types of transformations:

6

♦

ive. The number of rows entering and exiting the transformation are the same.

♦

Active. The number of rows exiting the transformation may not be the same as the number of rows entering the transformation.


Commonly used PowerCenter transformations include: ♦

Source Qualifier - reads sources

♦

Filter - filters data conditionally

♦

Sorter - sorts data

♦

Expression - performs logical/mathematical functions on data

♦

Aggregator - sums, averages, maximum, minimum

♦

er - s two data flows

♦

Lookup - looks up a corresponding value from a table or flat file

Lesson 1-4. Tasks and Workflows Tasks A task is an executable set of actions, functions, or commands.


7

Workflows

A workflow is a set of ordered tasks that describe runtime ETL processes. Tasks can be sequenced serially, in parallel and conditionally. Each linked icon represents a task.

8


Lesson 1-5. Metadata Metadata, which means “data about data,” is information that describes data. Common contents of metadata include the source or author of a dataset, how the dataset should be accessed, and its limitations.


9

10


Unit 2: PowerCenter Components and Interface In this unit you will learn about: ♦

PowerCenter Architecture

♦

PowerCenter Client Tools

Lesson 2-1. PowerCenter Architecture The following screenshot shows the PowerCenter Architecture:

♦

Sources—Can be relational tables or heterogeneous files (flat files, VSAM files and XML)

♦

Targets—Can be relational tables or heterogeneous files

♦

Integration Service—The engine that performs all of the extract, transform and load logic

♦

Repository Service—Manages connectivity to the metadata repositories that contain mapping and workflow definitions

♦

Repository Service Process—Multi-threaded process that retrieves, inserts and updates repository metadata

♦

Repository—Contains all of the metadata needed to run ETL processes

♦

Client Tools—Desktop tools used to populate the repository with metadata, execute workflows on the Integration Service, monitor the workflows and manage the repository

Unit 2: PowerCenter Components and Interface Informatica PowerCenter 8 Level I Developer

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Lesson 2-2. PowerCenter Client Tools Client tools run on Microsoft Windows.

All tools access the repository through the Repository Service. Workflow Manager and Workflow Monitor connect to Integration Service. Each client application has its own interface. The interfaces have toolbars, a navigation window to the left, a workspace to the right, and an output window at the bottom.

12


Designer


13

Within the Designer, you can display transformations in the following views:

14

♦

Iconized. Shows the transformation in relation to the rest of the mapping. This also minimizes the screen space needed to display a mapping.

♦

Normal. Shows the flow of data through the transformation. This view is typically used when copying/linking ports to other objects.

♦

Edit. Shows transformation ports and properties; allows editing. This view is used to add, edit, or delete ports and to change any of the transformation attributes or properties.


Workflow Manager


15

In the Workflow Manager, you can display tasks in the following views:

16

♦

Iconized (Session task example)

♦

Edit (Session task example)


Unit 2 Lab: Using the Designer and Workflow Manager Business Purpose You have been asked to learn how to use Informatica PowerCenter in order to more efficiently accomplish your ETL objectives and automate the development process. Because you have limited or no prior exposure to this software, this exercise will serve to orient you to the basic development interfaces.

Technical Description PowerCenter includes two development applications: the Designer, which you will use to create mappings, and the Workflow Manager, which you will use to create and start workflows. This exercise is designed to serve as your first hands-on experience with PowerCenter, and supplement the instructor demonstrations. You will import source and target definitions from a shortcut folder into your own folder.

Objectives ♦

Learn how to navigate the repository folder structure.

♦

Understand the purpose of the tools accessed from the Designer and Workflow Manager.

♦

Create and save source and target shortcuts.

♦

Learn how to access and edit the database connection objects

Duration 30 minutes

Unit 2 Lab: Using the Designer and Workflow Manager Informatica PowerCenter 8 Level I Developer

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Instructions Step 1: Launch the Designer and to the Repository 1.

Launch the Designer client application from the desktop icon. If no desktop icon is present, select Start > Programs > Informatica PowerCenter … > Client > PowerCenter Designer.

2.

Maximize the Designer window. Note: Notice the Navigator window on the left side, which should resemble Figure 2-1. However, you

may see additional or fewer repositories, depending on your classroom environment. Figure 2-1. Navigator Window

3.

to the PC8_DEV repository with the name studentxx, where xx represents your student number as assigned by the instructor. The is the same. s are always case-sensitive. Tip: The name to to the repository is an application-level name—it allows PowerCenter to it you to the repository with a specific set of application privileges. It is not a database name.

Step 2: Navigate Folders 1.

Double-click the folder DEV_SHARED. This opens the folder and shows you the subfolders associated with it. Figure 2-2 shows the Navigator: Figure 2-2. DEV_SHARED Folder and Subfolders

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Note: Notice that the DEV_SHARED folder has a small blue arm holding it. This icon denotes that DEV_SHARED is a shortcut folder. As you will see later in this lab, objects dragged from a shortcut folder into an open folder create shortcuts to the object. Tip: Technically, all folders are “shared” with all s who have the appropriate folder permissions, regardless whether it has the blue arm or not. Do not confuse repository folders with the directories visible in Windows Explorer. The folders are PowerCenter repository objects and are not related to Windows directories. 2.

Expand some of the subfolders to see the objects they hold. Note that some subfolders are empty. When a new object, such as a target definition, is created within a folder, it automatically goes into the appropriate subfolder. Note: Notice that within the Sources subfolder, the source objects are organized under individual “nodes” (branches in the hierarchy), such as FlatFile, ODBC_EDW, etc. These are based on the type of source and the name of the Data Source Name that was used to import the source definition (more on this later). Very Important: You will need to click on these source nodes to locate source definitions that may be “hiding” from view. Tip: Subfolders are created and managed automatically. s cannot create, delete, nest, or rename subfolders.

Each PowerCenter application, such as the Designer, shows only subfolders related to the objects that can be created and modified by that application. For example, in the Designer you only see subfolders for sources, targets, mappings, etc. 3.

Double-click on your individual student folder. For the remainder of the class, you will create and modify objects in this folder. Some pre-made objects have been provided as well. Note: Your student folder is now the “open” folder. Only one folder at a time can be open. The DEV_SHARED folder is now “expanded.” This distinction is important, as you will see later in this lab.

Step 3: Navigating the Designer Tools 1.

Select the menu option Tools > Source Analyzer. The workspace to the right of the Navigator window changes to an empty space. Note: Note the small toolbar directly to the right of the Navigator window, at the top. These are the five Designer tools. Each tool allows you to create and modify one specific type of object, such as sources. Figure 2-3 shows the Designer tools with the first tool (the Source Analyzer) selected. Figure 2-3. Designer Tools

2.

With your left mouse button, alternately toggle between the five tools.


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The name of each tool is displayed in the upper left corner of the workspace when that tool is active. Note: The main menu bar (very top of your screen) changes depending on which tool is active. Because these menus are context-sensitive to which tool is active, you must already be in the appropriate tool to create or modify a specific type of object. ♦ ♦ ♦

♦ ♦

The Source Analyzer tool is used to create or modify source objects. They may be relational, flat file, XML or COBOL sources. The Target Designer tool is used to create or modify target objects. They may be relational, flat file, or XML. It does not matter whether these targets are part of an actual data warehouse. The Transformation Developer tool is used to create or modify reusable transformations. Nonreusable transformations are created directly in a mapping or mapplet. This distinction will be covered later in the class. The Mapplet Designer tool is used to create or modify mapplets. The Mapping Designer tool is used to create or modify mappings.

Step 4: Create and Save Shortcuts 1.

Ensure that the Target Designer is active and that your student folder is open. Important: In order to copy/shortcut any object into a folder, the destination folder (the folder you

are adding to) must be the open folder. If the destination folder is not open, the copy/shortcut will not work. 2.

To help view which folder is active, choose View > Workbook to view the PowerCenter Client in Workfbook view. The PowerCenter Client displays tabs for each folder at the bottom of the Main window:

PowerCenter Client shows tabs in Workfbook view.

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3.

In the DEV_SHARED folder, expand the Targets subfolder by clicking on the + sign to the left of the subfolder. Figure 2-4 shows the Navigator window: Figure 2-4. DEV_SHARED Target subfolder

4.

Drag and drop the STG_PAYMENT target from the Navigator into the Target Designer workspace. You will see the confirmation message, “Create a shortcut to the target table STG_PAYMENT?”

5.

Click Yes at the confirmation message.

6.

Expand the Targets subfolder in your Student folder. Note that you have added a shortcut of the STG_PAYMENT staging target table to your own folder. Tip: PowerCenter shortcuts are “pointers” to the original object. They can be used but they cannot be modified as shortcuts. The original object can be modified, and any changes will immediately affect all shortcuts to that object.

7.

Open the Source Analyzer tool in your student folder.

8.

In the DEV_SHARED folder, expand the Sources subfolder and expand the FlatFile container.

9.

Add shortcuts to your folder to the two source definitions listed below. ♦ ♦

PROMOTIONS PAYMENT


21

10.

Confirm that your student folder appears similar to Figure 2-5: Figure 2-5. Student folder with new objects

11.

Use the menu option Repository > Save to save these objects in your student folder. Tip: You should periodically save changes to the repository when using the Designer or the Workflow Manager. The keyboard shortcut Ctrl+S can also be used. There is no “auto-save” feature.

Step 5: Launch the Workflow Manager 1.

Left-click the toolbar icon for the Workflow Manager shown in Figure 2-6. This toolbar is usually above the Navigator window. Figure 2-6. Application Toolbar Workflow Manager Button

2.

Confirm that the Workflow Manager launches and you are automatically logged into the repository the same way as you were in the Designer.

3.

Maximize the Workflow Manager application. Tip: Avoid having two or more “instances” of the same PowerCenter application (such as the Workflow Manager) running on a machine at the same time. There is no benefit in doing this, and it can result in confusion when editing objects.

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4.

Browse through the various folders and subfolders in the Workflow Manager Navigator window as you did in the Designer. Note that only subfolders for the objects that can be created with the Workflow Manager are present, Tasks, Sessions, Worklets, and Workflows. Note: Although a session object is a type of task, it gets its own subfolder because you will typically have many more sessions than the other types of tasks. Only reusable sessions will appear in the Sessions subfolder. Likewise, only reusable tasks (except for sessions) will appear in the Tasks subfolder.

Step 6: Navigating the Workflow Manager Tools 1.

Select the menu option Tools > Task Developer. Just as in the Designer, you will see the workspace clear itself and a toolbar appear to the right of the Navigator window. The idea is the same as with the Designer, except there are three tools instead of five.

2.

With your left mouse button, alternately toggle between the three tools. Note that the name of each tool is displayed in the upper left corner of the workspace when that tool is active. Note also the context-sensitive menus, as we did in the Designer. ♦ ♦ ♦

The Task Developer tool is used to create or modify reusable tasks. The Worklet Designer tool is used to create or modify worklets. The Workflow Designer tool is used to create or modify workflows

Step 7: Workflow Manager Task Toolbar The Workflow Manager is equipped with a toolbar that shows an icon for each type of task that can be created. This toolbar is visible by default, but the default location of is at the top right-hand corner of the screen. We will move the toolbar to a more central location. 1.

Locate the “vertical stripe” at the far-left hand side of the task bar, as shown in Figure 2-7: Figure 2-7. Task Toolbar Default Position


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2.

With your left mouse button, drag the toolbar toward the left and drop it in a convenient location so that all of the buttons are visible. The top of your Workflow Manager should appear similar to Figure 2-8: Figure 2-8. Task Toolbar After Being Moved

Step 8: Database Connection Objects Later in the class, we will create sessions that will read data from database source and target tables. In order to open a connection to the respective databases, PowerCenter needs the database log-in and the designation (i.e., connection string, database name or server name). Instead of requiring the to type this information each time a session is created, PowerCenter allows us to create reusable and sharable database connection objects. These objects contain properties describing one database connection. The objects can be associated with multiple sessions to describe either source, target, or lookup connections. 1.

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In the Workflow Manager, select the menu option Connections > Relational.


You will see the Relational Connection Browser similar to Figure 2-9. Figure 2-9. Relational Connection Browser

Note: Note that each connection object is organized under a database type. 2.

Double-click on the NATIVE_TRANS connection object to display its properties.

3.

You will not have write privileges. Click OK. Note: Note that the connection NATIVE_TRANS will to the database with the name sdbu.

The connection object will be shared among the students in the class. 4.

Double-click on any of the other objects that have your student number. The NATIVE_STG07 connection, for example, will have the name tdbu07. These are the individual student connections to be used to read from and write to your individual staging tables and the enterprise data warehouse (EDW) tables. It’s intuitive to create additional connection objects. Experiment if you have extra time. Tip: Database connection objects are not associated with a specific folder.


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26


Unit 3: Source Qualifier In this unit you will learn about: ♦

Source Qualifier transformation

♦

Velocity Methodology

♦

Source Qualifier s

♦

Source pipelines

Lesson 3-1. Source Qualifier Transformation Source Qualifier Transformation

Type Active.

Description A Source Qualifier transformation: ♦

Selects records from flat file and relational table sources. Only those fields or columns used in the mapping are selected, based on the output connections.

♦

Converts the data from the source’s native datatype to the most compatible PowerCenter transformation datatype.

♦

Generates a SQL query for relational sources.

♦

Can perform homogeneous s between relational tables on the same database.

Unit 3: Source Qualifier Informatica PowerCenter 8 Level I Developer

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Properties

The following table describes the Source Qualifier transformation properties: Property

Description

Sql Query

Allows you to override the default SQL query that PowerCenter creates at runtime.

Defined

Allows you to specify a that replaces the default created by PowerCenter.

Source Filter

Allows you to create a where clause that will be inserted into the SQL query that is generated at runtime. The “where” portion of the statement is not required. For example: Table1.ID = Table2.ID

Number of Sorted Ports

PowerCenter will insert an order by clause in the generated SQL query. The order by will be on the number of ports specified, from the top down. For example, in the sq_Product_Product_Cost Source Qualifier, if the number of sorted ports = 2, the order by will be: ORDER BY PRODUCT.PRODUCT_ID, PRODUCT.GROUP_ID.

Tracing Level

Specifies the amount of detail written to the session log.

Select Distinct

Allows you to select distinct values only.

Pre SQL

Allows you to specify SQL that will be run prior to the pipeline being run. The SQL will be run using the connection specified in the session task.

Post SQL

Allows you to specify SQL that will be run after the pipeline has been run. The SQL will be run using the connection specified in the session task.

Business Purpose The use of a Source Qualifier is a product requirement; other types of sources require equivalent transformations (XML Source Qualifier, etc.). It provides an efficient way to filter input fields/columns and to perform homogeneous s.

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Datatype Conversion

Data can be converted from one datatype to another by: ♦

ing data between ports with different datatypes

♦

ing data from an expression to a port

♦

Using transformation functions

♦

Using transformation arithmetic operators

ed conversions are: ♦

Numeric datatypes <=> Other numeric datatypes

♦

Numeric datatypes <=> String

♦

Date/Time <=> Date or String (to convert from string to date the string must be in the default PowerCenter data format MM/DD/YYYY HH24:MI:SS)

Similarly, when writing to a target the Integration Service converts the data to the target’s native datatype. For further information, see the PowerCenter Client Help > Index > port-to-port data conversion.


29

Lesson 3-2. Velocity Methodology In labs, we will use Informatica's Velocity methodology.

This methodology includes: ♦

Templates ♦

♦

Mapping specification templates ♦ Source to target field matrix Naming conventions

♦

Object type prefixes: m_, exp_, agg_, wf_, s_, …

♦

Best practices

Velocity covers the entire data integration project life cycles: Phase 1: Manage Phase 2: Architect Phase 3: Design Phase 4: Build Phase 5: Test Phase 6: Deploy Phase 7: Operate For more information, see http://devnet.informatica.com (requires registration).

Lab Project The Mersche Motors data model consists of the following star schemas. The labs predominately use the Sales star schema. 30


Data is moved first to the staging area and from there to the data warehouse and target flat files.

The labs can source from flat files and/or a relational database.

Source Tables and Files The source system has the following relational tables: DEALERSHIP


31

PRODUCT PRODUCT_COST

The source system has the following flat files: customer_layout dates employees_layout inventory payment promotions sales_transactions

Staging Area The staging area has the following tables: STG_CUSTOMERS STG_DATES STG_DEALERSHIP STG_EMPLOYEES STG_INVENTORY STG_PAYMENT STG_PRODUCT STG_PROMOTIONS STG_TRANSACTIONS

Data Warehouse The data warehouse has the following tables: DIM_CUSTOMERS DIM_DATES DIM_DEALERSHIP DIM_EMPLOYEES DIM_PAYMENT DIM_PRODUCT DIM_PROMOTIONS FACT_INVENTORY FACT_PRODUCT_AGG_DAILY FACT_PRODUCT_AGG_WEEKLY FACT_PROMOTIONS_AGG_DAILY FACT_SALES

32


Architecture and Connectivity

Architecture The labs use the following architecture and connections: Integration Service: PC_IService Repository Name: PC8_DEV Folders: Student 01 - 20 Names: student01 - 20 s: student01 - 20

Connectivity ODBC Connections: Source Tables

ODBC_TRANS

Staging Area

ODBC_STG (01 - 20)

Data Warehouse

ODBC_EDW (01 - 20)

Native Connections: Source Tables

NATIVE_TRANS

Staging Area

NATIVE_STG (01 - 20)

Data Warehouse

NATIVE_EDW (01 - 20)

Relational Source

sdbu with sdbu

Relational Targets

tdbu01 - 20

s

tdbu01 - 20


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34


Unit 3 Lab A: Load Payment Staging Table Section 1: -Through Mapping Business Purpose The staging area of the Mersche Motors data warehouse contains a table that assigns payment type descriptions for each payment ID. Because these descriptions may change, the table must be synchronized daily with the corresponding data located in the operational system. The operational system uses a simple flat file to record and edit these descriptions.

Technical Description PowerCenter will source from a delimited flat file and insert the data into a database table without performing data transformations. In order to avoid duplicate records in subsequent loads, we will configure PowerCenter to truncate the target table before each load.

Objectives ♦

Open the Designer Tools and switch between Workspaces

♦

Import a flat file definition

♦

Import a table definition

♦

Create a simple -through mapping

♦

Create a Session task to run the mapping and configure connectivity

♦

Create a Workflow to run the Session task

♦

Run the Workflow and monitor the results

Duration 35 minutes

Unit 3 Lab A: Load Payment Staging Table Informatica PowerCenter 8 Level I Developer

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Velocity Deliverable: Mapping Specifications Mapping Name

m_Stage_Payment_Type_xx

Source System

Flat file

Target System

Oracle Table

Initial Rows

5

Rows/Load

5

Short Description

Simple -through mapping, comma-delimited flat-file to Oracle table

Load Frequency Preprocessing

Target truncate

Post Processing Error Strategy

Default

Reload Strategy Unique Source Fields

PAYMENT_ID, PAYMENT_TYPE_DESC

SOURCES Tables Table Name

Schema/Owner

Selection/Filter

File Name

File Location

Fixed/Delimited

Additional File Info

payment.txt

C:\pmfiles\SrcFiles

Delimited

Comma delimiter

Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

Files

TARGETS

STG_PAYMENT

Insert

Unique Key

X

HIGH LEVEL PROCESS OVERVIEW

Source

Target

PROCESSING DESCRIPTION (DETAIL) This is a -through mapping with no data transformation.

36



37

Payment_id

Payment_type_desc

STG_PAYMENT

STG_PAYMENT

Varchar2(20)

Number(3,0)

Datatype

PAYMENT

PAYMENT

Source Table

Payment_type_desc

Payment_id

Source Column

String(10)

Decimal(3,0)

Datatype

Expression

reference. In future labs we will be using a shortened version of the matrix.

Velocity Best Practice: This is the Velocity Source to Target Field Matrix. It is displayed here for you

Target Column

Target Table

SOURCE TO TARGET FIELD MATRIX Default Value if Nulls Data Issues/ quality

Instructions Step 1: Launch the Designer and Review the Source and Target Definitions 1.

Launch the Designer application by selecting Start > Programs > Informatica PowerCenter … > Client > PowerCenter Designer. Tip: If an instance of the Designer is already running on your workstation, do not launch another

instance. It is unnecessary and potentially confusing to run more than one instance per workstation. 2.

to the PC8_DEV repository with the name studentxx and studentxx where xx represents your student number as assigned by the instructor.

3.

Open your student folder by double-clicking on it.

4.

Open the Source Analyzer selecting the menu option Tools > Source Analyzer.

5.

Drag the Shortcut_to_payment source file from the Sources subfolder into the Source Analyzer workspace. Confirm that your source definition appears the same as displayed in Figure 3-1. You may have to drag the box wider to see the Length column. Figure 3-1. Normal view of the payment flat file definition displayed in the Source Analyzer

6.

Open the Target Designer by clicking the respective icon in the toolbar. The icon is shown highlighted below:

7.

Drag the Shortcut_to_STG_PAYMENT target table definition from the Targets subfolder into the Target Designer workspace.

8.

Review the target definition.

Step 2: Create a Mapping 1.

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Open the Mapping Designer by clicking the respective icon in the toolbar. The icon is shown highlighted below:


2.

Select the menu option Mappings > Create a.

Delete the default mapping name and enter the name m_Stage_Payment_Type_xx, xx refers to your student number.

b.

Click OK.

Velocity Best Practice: The m_ as a prefix for a mapping name is specified in the Informatica Velocity

Best Practices. Mapping names should be clear and descriptive so that others can immediately understand the purpose of the mapping. Velocity suggests either the name of the targets being accessed or a meaningful description of the function of the mapping. 3.

Perform the following steps in the Navigator window: a.

Expand the Sources subfolder.

b.

Expand the FlatFile node

c.

Drag-and-drop the source Shortcut_to_payment into the mapping.

4.

Expand the Targets subfolder, and drag-and-drop the target Shortcut_to_STG_PAYMENT into the mapping.

5.

Select the menu option View > Navigator. This will temporarily remove the Navigator window from view in order to increase your mapping screen space. Your mapping should appear as displayed in Figure 3-2. Figure 3-2. Mapping with Source and Target Definitions

6.

Select the Source Qualifier transformation. a.

Drag-and-drop the port PAYMENT_ID from the Source Qualifier to the PAYMENT_ID field in the target definition.

b.

Drag-and-drop the Source Qualifier port PAYMENT_TYPE_DESC to the PAYMENT_TYPE_DESC field in the target definition.

Tip: When linking ports in a mapping as described above, ensure that the tip of your mouse cursor is touching a letter in the name or datatype or any property for the port you are dragging. 7.

Right-click in a blank area within the mapping and choose the menu option Arrange All.


39

Your mapping should appear the same as displayed in Figure 3-3. Figure 3-3. Normal view of the completed mapping

8.

Type Ctrl+S to save your work to the repository. Tip: The Output Window displays messages about the results of an action taken in the Designer.

9.

Confirm that your Output Window displays the following message: *******Mapping m_Stage_Payment_Type is VALID ******* mapping m_Stage_Payment_Type inserted. -----------------------------------------------------

Step 3: Create a Workflow and a Session Task 1.

Launch the Workflow Manager by clicking on the respective icon in the toolbar. The icon is shown highlighted below:

2.

Open the Workflow Designer by clicking the respective icon in the toolbar. The icon is shown highlighted below:

3.

Select the menu option Workflows > Create. a.

Delete the default Workflow name and enter wkf_Load_STG_PAYMENT_xx (xx refers to your student number).

Velocity Best Practice: The wkf_ as a prefix for a Workflow name is specified in the Informatica

Velocity Methodology. b. 4.

Click OK.

Select the menu option Tasks > Create. a.

Select session from the Select the task type to create drop-box.

b.

Enter the Session name s_m_Stage_Payment_Type_xx (xx refers to your student number).

Velocity Best Practice: The s_ as a prefix for a session name is specified in the Informatica Velocity

Methodology. The Velocity recommendation for a session name is s_mappingname.

40


5.

c.

Click the Create button.

d.

The Mappings list box shows the mappings saved in your folder. Confirm that the m_Stage_Payment_Type_xx mapping is selected and click OK.

e.

Click Done.

Drag the newly created session to middle of the screen. Tip: If you select the session icon from the task toolbar instead of using the Tasks > Create menu option the client tool will name the session for you, using the correct velocity standard name: s_mappingname. It will also place the session where you click in the workspace.

6.

Double-click on the session task that you just created to open it in edit mode. a.

Select the Mapping tab.

b.

Select the Source Qualifier icon SQ_Shortcut_to_payment (in the Session properties navigator window).

c.

In the Properties area scroll down and confirm the source file name and location. i.

Source file directory: $PMSourceFileDir\

ii.

Source filename: payment.txt.

Tip: When the Integration Service process runs on UNIX or Linux, the filename is case sensitive. d.

Select the target Shortcut_to_STG_PAYMENT (in the Session properties navigator window).

e.

Using the Connections list box, select the NATIVE_STGXX connection object, where XX represents your student number assigned by the instructor.

f.

In the Properties area, confirm that the load type is Bulk. Tip: Setting the load type to bulk will use the target RDBMS bulk loading facility.

g.

In the Properties area, scroll down until the property Truncate target table option is visible. Select the check-box.


41

Your session task information should appear similar to that displayed in Figure 3-4. Figure 3-4. Completed Session Task Target Properties

h.

Click OK.

7.

Type Ctrl+S to save your work to the repository.

8.

Confirm that your Output Window displays the message: *******Workflow wkf_Load_STG_PAYMENT is INVALID******* Workflow wkf_Load_STG_PAYMENT inserted ------------------------------------------------------

Tip: For this section you have created a non-reusable session within the workflow. This session

exists only within the context of the workflow.

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9.

Click the Link Tasks icon in the Tasks Toolbar shown below.

10.

Holding down the left mouse button, drag from the Start Task to the s_m_Stage_Payment_Type_xx Session Task and release the mouse. This will establish a link from the Start Task to the Session Task.


Your workflow should appear as displayed in Figure 3-5. Figure 3-5. Completed Workflow

11.

Type Ctrl+S to save your work to the repository. Confirm that your Output Window displays the message: ...Workflow wkf_Load_STG_PAYMENT tasks validation completed with no errors. ******* Workflow wkf_Load_STG_PAYMENT is VALID ******* Workflow wkf_Load_STG_PAYMENT updated. ---------------------------------------

Step 4: Run the Workflow and Monitor the Results 1.

Right-click on a blank area near the Workflow and inside the workspace, select Start Workflow.

2.

If Workflow Monitor is already opened, the workflow and session will automatically display. However, if the Monitor opens new:

3.

a.

Right click on the PC8_DEV repository and choose Connect.

b.

with your studentxx id and .

c.

Right click on PC_IService and choose Connect.

d.

Right click on your Studentxx folder and choose Open.

e.

Right click on wkf_Load_STG_PAYMENT_xx and select Open Latest 20 Runs.

Maximize the Workflow Monitor. Note there are two tabs above the Output window: Gantt Chart and Task View.

4.

Select Task View. Your information should appear similar to what is displayed in Figure 3-6. Figure 3-6. Successful Run of a Workflow Depicted in the Task View of the Workflow Monitor

5.

Scroll down through the Task Details window.


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Your information should appear as displayed Figure 3-7. Figure 3-7. Properties for the Completed Session Run

6.

Select the Source /Target statistics tab. Expand the node for the source and target. Note that for the Source and Target objects in the mapping, there is a count of the rows in various categories, such as Applied Rows (success), Affected (transformed), and Rejected, also an estimated throughput speed. Figure 3-8. Source/Target Statistics for the Completed Session Run

7.

8.

Right-click the Session again and select Get Session Log. a.

Session log will be displayed.

b.

Review the log and note the variety of information it shows.

c.

Close the Session Log.

Select the Gantt Chart tab. Note that the Workflow and the Session are displayed within a horizontal timeline.

44


Data Results In the Designer, you can view the data that was loaded into the target. 1.

Right-click on the STG_Payment target definition.

2.

Select Preview Data.

3.

Set the ODBC Data Source drop-box to the ODBC_STG Data Source Name.

4.

Enter the name tdbuxx, where xx represents your student number as assigned by the instructor.

5.

Enter the tdbuxx and click the Connect button. Your data should appear as displayed in Figure 3-9. Figure 3-9. Data Preview of the STG_PAYMENT Target Table


45

Lesson 3-3. Source Qualifier s A Source Qualifier can data from multiple relational tables on the same database (homogeneous ) if the tables have a primary key-foreign key relationship defined in the Source Analyzer. These columns do not have to be keys on the source database, but they should be indexed for best performance.

46


The is performed on the source database at runtime (when SQL generated by the Source Qualifier executes). ing data in a Source Qualifier allows the Integration Service to read data in multiple tables in a single , which can improve session performance.

In a case where there is no PK/FK relationship you can specify a Defined . Enter the condition in the Source Qualifier properties e.g. tableA.EmployeeID=TableB.EmployeeID. By default you get an inner —use SQL Query override to specify other types.

Example A business sells a high volume of products and updates the Product Dimension table on a regular basis. To update the dimension table, a of the PRODUCT and PRODUCT_COST table is required. Since the source tables are from the same database and have a key relationship only a single Source Qualifier transformation is needed.


47

Note the primary key-foreign key relationship between the PRODUCT_ID field of the PRODUCT table and the PRODUCT_CODE field of the PRODUCT_COST table.

Performance Considerations For relational sources, the number of rows processed can be reduced by using SQL override and adding a “WHERE” clause or by the use of the “Source Filter” attribute if not all rows are required. Also, the default SQL generated by the Source Qualifier can be customized to improve performance.

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Unit 3 Lab B: Load Product Staging Table Section 2: Homogeneous Business Purpose There are two Oracle tables that together contain vital information about the products sold by Mersche Motors. You need to combine the data from both tables into a single staging table that can be used as a source of data for the data warehouse.

Technical Description PowerCenter will define a homogeneous between the two Oracle source tables. The source database server will perform an inner on the tables based on a statement automatically generated by the Source Qualifier. The set will be loaded into the staging table.

Objectives ♦

Import relational source definitions

♦

View relationships between relational sources

♦

Use a Source Qualifier to define a homogeneous and view the statement

Duration 30 minutes

Unit 3 Lab B: Load Product Staging Table Informatica PowerCenter 8 Level I Developer

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m_Stage_Product_xx

Source System

Oracle Tables

Target System

Oracle Table

Initial Rows

48

Rows/Load

48

Short Description

This mapping s the product table and the product cost table and loads data to the staging area

Load Frequency

Once

Preprocessing

Target truncate


Default


PRODUCT.PRODUCT_ID, PRODUCT_COST.PRODUCT_CODE


Schema/Owner

Selection/Filter

PRODUCT

SDBU

N/A

PRODUCT_COST

SDBU

N/A

TARGETS Tables

Schema Owner

Table Name

Update

TDBUxx Delete

STG_PRODUCT

Insert

Unique Key

X

HIGH LEVEL PROCESS OVERVIEW Source 1 Target Source 2

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PROCESSING DESCRIPTION (DETAIL) This is a simple mapping that s the PRODUCT table to the PRODUCT_COST to obtain cost information for each product. The product details along with the cost details are loaded into the staging area.

SOURCE TO TARGET FIELD MATRIX Target Table

Target Column

Source Table

Source Column

STG_PRODUCT

PRODUCT_ID

PRODUCT

PRODUCT_ID

STG_PRODUCT

GROUP_ID

PRODUCT

GROUP_ID

STG_PRODUCT

PRODUCT_DESC

PRODUCT

PRODUCT_DESC

STG_PRODUCT

GROUP_DESC

PRODUCT

GROUP_DESC

STG_PRODUCT

DIVISION_DESC

PRODUCT

DIVISION_DESC

STG_PRODUCT

SUPPLIER_DESC

PRODUCT_COST

SUPPLIER_DESC

STG_PRODUCT

COMPONENT_ID

PRODUCT_COST

COMPONENT_ID

STG_PRODUCT

PRODUCT_COST

PRODUCT_COST

PRODUCT_COST


Expression

Default Value if Null

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Instructions Step 1: Import the Source Definitions 1.

Open the Source Analyzer workspace in the Designer. a.

Right click in the workspace and select Clear All.

b.

Chose the menu option Sources > Import from Database i.

Set the ODBC Data Source drop-box to the ODBC_TRANS Data Source Name

ii.

Enter the name sdbu.

iii.

Tab down into Owner name and confirm that it defaults to the name entered above.

iv.

Enter the sdbu and click the Connect button.

v.

Expand the node in the Select tables area, and expand the TABLES node.

vi.

Import the relational tables PRODUCT and PRODUCT_COST.

Tip: You can select multiple objects for simultaneous import by using the Ctrl key. 2.

Save your work. Your Source Analyzer should appear as displayed in Figure 3-10. Figure 3-10. Source Definitions with a PK/FK Relationship Displayed in the Source Analyzer

Tip: The arrow connecting the keys PRODUCT_ID and PRODUCT_CODE denotes a relationship stored in the Informatica repository. By default, referential integrity (primary to foreign key) relationships defined on a database are imported when each of the tables in the relationship are imported. The arrow head is on the Primary key end (Parent / Independent / ‘one’ end) of the relationship. Tip: It is not generally a good practice to create two different tables with the same primary key. In

correct database design, this method of ‘horizontal partitioning’ of a table is usually only justified for security or performance reasons. Separating products and their product_costs doesn't meet either of these criteria. These two tables however give you a very good example of using a homogenous in a mapping.

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Step 2: Import the Relational Target Definition 1.

2.

Open the Target Designer. a.

Right click in the workspace and select Clear All.

b.

Chose the menu option Targets > Import from Database. i.

Connect using the ODBC Data Source ODBC_STG, the name tdbuxx and the tdbuxx, where xx represents your student number.

ii.

Import the relational target definition STG_PRODUCT.

Save your work.

Step 3: Create the Mapping 1.

Open the Mapping Designer.

2.

If a mapping is visible in the workspace, close it by choosing the menu option Mappings > Close.

3.

Create a new mapping named m_Stage_Product_xx. For further details about how to do this, see Step 2, “Create a Mapping” on page 38.

4.

Choose the menu option Tools > Options. a.

Select the Tables tab. i.

Set the Tools drop-box at the top to Mapping Designer.

ii.

Uncheck the check-box Create Source Qualifiers when opening Sources.

iii.

Click OK.

Tip: The check-box described above allows you to specify whether a Source Qualifier transformation will be created automatically every time a Source definition is added to the mapping. Generally, this option is turned off when it is desired to add several relational Sources to the mapping and create a single Source Qualifier to them. 5.

Add the source definitions PRODUCT and PRODUCT_COST to the mapping. You may need to display the navigator window by selecting the menu option View > Navigator.

6.

Create a Source Qualifier transformation by clicking on the appropriate icon in the transformation toolbar and then clicking in the workspace. The icon is shown highlighted below:

7.

In the Select Sources for Source Qualifier Transformation dialog-box, confirm that both sources are selected and click OK.

8.

Double-click the Source Qualifier to enter edit mode.

9.

Click the rename button and change the name to sq_Product_Product_Cost.

10.

Add the target definition STG_PRODUCT to the mapping.

11.

Link each of the output ports in the Source Qualifier to an input port in the target with the same name (i.e., PRODUCT_ID linked to PRODUCT_ID).

12.

Link the COST port to the PRODUCT_COST port.


53

13.

Save your mapping and confirm that it is valid. Note that the PRODUCT_CODE port in the Source Qualifier is intended to be unlinked, as it is not required in the target. Confirm that your mapping appears the same as displayed in Figure 3-11. Figure 3-11. Normal View of the Completed Mapping

14.

Edit the Source Qualifier. a.

Click on the Properties tab.

b.

Open the SQL Query Editor by clicking the arrow in the SQL Query property.

c.

Click the Generate SQL button. Note that the statement can now be previewed, and that it is an inner . Also note that the PRODUCT_CODE column is not in the SELECT statement; this is because the column is not linked in the mapping and is not needed. Your SQL Editor should appear as displayed in Figure 3-12. Figure 3-12. Generated SQL for the m_Stage_Product Mapping

15.

54

Click OK twice.


16.

Save your work. Tip: It is generally not a good practice to save the generated SQL unless there is a need to override it. If you cancel out of the SQL editor, then at runtime the session will create what is called the 'default query'. This is based on the ports and their links in the mapping. If you click OK and leave some SQL in the editor window, you've overridden the default query. Anytime you wanted to link a new port out of the Source Qualifier you would have to go in and regenerate the SQL. Tip: The relationship between PRODUCT_ID and PRODUCT_CODE was used to generate the inner statement. If you desire to two source tables on two columns that are not keys, you may establish a relationship between them by dragging the foreign key to the primary key column in the Source Analyzer. You may also modify the statement to make it an outer .

Step 4: Create the Session and Workflow 1.

From the Workflow Manager application, open the Workflow Designer tool.

2.

If a Workflow is visible in the workspace, close it by choosing the menu option Workflows > Close.

3.

Create a new Workflow named wkf_Stage_Product_xx. For further details about how to do this, see Step 3, “Create a Workflow and a Session Task” on page 40.

4.

Create a new Session by clicking on the appropriate icon in the task toolbar and then clicking in the workspace. The icon is shown highlighted below:

Select the mapping m_Stage_Product_xx for the Session. 5.

Edit the Session. a.

6.

In the Mapping tab: i.

Set the relational source connection object property to NATIVE_TRANS.

ii.

Set the relational target connection object property to NATIVE_STGxx where xx is your student number.

iii.

Check the property Truncate target table option in the target properties.

iv.

In the Properties area, confirm that the load type is Bulk.

Link the Start task to the Session task. For further details about how to do this, see Step 3, “Create a Workflow and a Session Task” on page 40.

7.

Right click in the workspace and select Arrange > Horizontal.

8.

Save your work.


Start the workflow.


55

Confirm that your Task Details appear the same as displayed in Figure 3-13. Figure 3-13. Properties of the Completed Session Run

2.

Confirm that your Source/Target Statistics appear the same as displayed in Figure 3-14. Figure 3-14. Source/Target Statistics for the Completed Session Run

3.

Using the Preview Data option in the Designer, confirm that your target data appears the same as displayed in Figure 3-15. Be sure to with tdbuxx. Figure 3-15. Data Preview of the STG_PRODUCT Target Table

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Lesson 3-4. Source Pipelines


57

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Unit 3 Lab C: Load Dealership and Promotions Staging Table Section 3: Two Pipeline Mapping Business Purpose Two Dealership and Promotions staging tables must be loaded, one from a relational table and one from a flat-file.

Technical Description Both loads have a simple -through logic as in Lab A so we will combine them into one mapping. Even though two sources and two targets are involved, only one Session will be required to run this mapping.

Objectives ♦

Import a fixed-width flat file definition

♦

Define two data flows within one mapping

Duration 20 minutes

Unit 3 Lab C: Load Dealership and Promotions Staging Table Informatica PowerCenter 8 Level I Developer

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m_Dealership_Promotions_xx

Source System

Flat file, Oracle Table

Target System

Oracle Table

Initial Rows

6, 31

Rows/Load

6, 31

Short Description

Simple -through mapping with 2 pipelines. One pipeline extracts from a flat file and loads to an Oracle table. The second pipeline extracts from an Oracle table and loads an Oracle table.

Load Frequency Preprocessing

Target truncate


Default


DEALERSHIP.DEALERSHIP_ID, PROMOTIONS.PROMO_ID


Schema/Owner

Selection/Filter

DEALERSHIP

SDBU

N/A

File Name

File Location

Fixed/Delimited

promotions.txt

C:\pmfiles\SrcFiles

Fixed

Files Additional File Info

TARGETS

60

Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

Insert

STG_DEALERSHIP

X

STG_PROMOTIONS

X

Unique Key


HIGH LEVEL PROCESS OVERVIEW Source 1

Target 1

Source 2

Target 2

PROCESSING DESCRIPTION (DETAIL) This is a -through mapping with no data transformation.


Target Column

Source Table

Source Column

STG_DEALERSHIP

DEALERSHIP_ID

DEALERSHIP

DEALERSHIP_ID

STG_DEALERSHIP

DEALERSHIP_MANAGER_ID

DEALERSHIP

DEALERSHIP_MANAGER_ID

STG_DEALERSHIP

DEALERSHIP_DESC

DEALERSHIP

DEALERSHIP_DESC

STG_DEALERSHIP

DEALERSHIP_LOCATION

DEALERSHIP

DEALERSHIP_LOCATION

STG_DEALERSHIP

DEALERSHIP_STATE

DEALERSHIP

DEALERSHIP_STATE

STG_DEALERSHIP

DEALERSHIP_REGION

DEALERSHIP

DEALERSHIP_REGION

STG_DEALERSHIP

DEALERSHIP_COUNTRY

DEALERSHIP

DEALERSHIP_COUNTRY

STG_PROMOTIONS

PROMO_ID

PROMOTIONS

PROMO_ID

STG_PROMOTIONS

PROMO_DESC

PROMOTIONS

PROMO_DESC

STG_PROMOTIONS

PROMO_TYPE

PROMOTIONS

PROMO_TYPE

STG_PROMOTIONS

START_DATE

PROMOTIONS

START_DATE

STG_PROMOTIONS

EXPIRY_DATE

PROMOTIONS

EXPIRY_DATE

STG_PROMOTIONS

PROMO_COST

PROMOTIONS

PROMO_COST

STG_PROMOTIONS

DISCOUNT

PROMOTIONS

DISCOUNT


Expression


61

Instructions Step 1: Import the Source Definitions 1.

Import the relational source definition DEALERSHIP. For further details about how to do this, see Step 1, “Import the Source Definitions” on page 52.

2.

Edit the source definition for the promotions.txt file in the source analyzer. a.

Click the Advanced button in the lower right of the edit box.

b.

Make sure that the number of bytes to skip between records is set to 2.

Note: A fixed width flat file will have bytes at the end of each row that depict a line feed and a carriage return. Depending on the system that the file was created on you will need to skip the appropriate number of bytes. If you don't your result set will be offset by 1 or 2 bytes. For files created on a mainframe set the value to 0, for UNIX/Linux set the value to 1, for all others set the value to 2.

Confirm that your promotions source definition appears the same as displayed in Figure 3-16. Figure 3-16. Normal view of the promotions flat file definition displayed in the Source Analyzer

Step 2: Import the Target Definitions Import the relational target definitions STG_DEALERSHIP and STG_PROMOTIONS For further details about how to do this, see Step 2, “Import the Relational Target Definition” on page 53.

Step 3: Create the Mapping 1.

62

Create a mapping named m_Dealership_Promotions_xx. a.

Make sure that the option to Create Source Qualifiers when Opening Sources is checked (on). For further details about how to do this, see Step 3, “Create the Mapping” on page 53.

b.

Add the Dealership and Promotions source definitions to the mapping.

c.

Confirm that a Source Qualifier was created for each.

d.

Add the STG_DEALERSHIP and STG_PROMOTIONS target definitions to the mapping.

e.

Link the appropriate Source Qualifier ports to the target ports.

2.

Save the mapping and confirm that it is valid.

3.

Right-click in a blank area within the mapping and choose the menu option Arrange All Iconic.


Confirm that your mapping appears as displayed in Figure 3-17. Figure 3-17. Iconic View of the Completed Mapping

Step 4: Create and Run the Workflow 1.

Create a workflow named wkf_Load_Stage_Dealership_Promotions_xx.

2.

Create a Session Task named s_m_Dealership_Promotions_xx that uses the mapping m_Dealership_Promotions_xx.

3.

Edit the Session.

4.

a.

Set the database connection objects for the sources and targets in the Session. Note that both of the relational target database connections need to be set separately. For further details about how to do this, see “Create a Workflow and a Session Task” on page 40 and “Create the Session and Workflow” on page 55.

b.

Confirm that the source location information for the Promotions flat file is set correctly. For further details about how to do this, see “Create a Workflow and a Session Task” on page 40.

c.

Check the property Truncate target table option in the target properties.

Complete the Workflow, save it, and run it. Confirm that your Task Details appear the same as displayed in Figure 3-18. Figure 3-18. Properties of the Completed Session Run


63

Confirm that your Source/Target Statistics appear the same as displayed in Figure 3-19. Figure 3-19. Source/Target Statistics for the Completed Session Run

5.

Preview the target data with tdbuxx. It should appear the same as Figure 3-20 and Figure 3-21: Figure 3-20. Data Preview of the STG_DEALERSHIP Target Table

64


Figure 3-21. Data Preview of the STG_PROMOTIONS Target Table


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66


Unit 4: Expression, Filter, File Lists, and Workflow Scheduler In this unit you will learn about: ♦

Expression transformations

♦

Filter transformations

♦

File lists

♦

Workflow scheduler

Lesson 4-1. Expression Transformation

Type ive.

Description The Expression transformation lets you modify individual ports of a single row (or columns within a single row). It also lets you add and suppress ports. It cannot perform aggregation across multiple rows (use the Aggregator transformation).

Business Purpose You can modify ports using logical and arithmetic operators or built-in functions for: ♦

Character manipulation (concatenate, truncate, etc.)

♦

Datatype conversion (to char, to date, etc.)

♦

Data cleansing (check nulls, replace string, etc.)

Unit 4: Expression, Filter, File Lists, and Workflow Scheduler Informatica PowerCenter 8 Level I Developer

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♦

Data manipulation (round, truncate, etc.)

♦

Numerical calculations (exponential, power, log, modulus, etc.)

♦

Scientific calculations (sine, cosine, etc.)

♦

Special (lookup, decode, etc.)

♦

Test (for spaces, number, etc.)

For example, you might need to adjust employee salaries, concatenate first and last names, or convert strings to numbers. You can use the Expression transformation to perform any non-aggregate calculations. You can also use the Expression transformation to test conditional statements before you output the results to target tables or other transformations.

Expression Editor Interface, Variables, and Validation The Expression Editor Interface (shown below) helps the developer to construct an expression. Expressions can include numeric and logical operators, functions, ports, variables.

The Expression Editor provides:

68

♦

Numeric and arithmetic/logical operator keypads.

♦

Functions tab for built-in functions.

♦

Ports tab for port values.

♦

Variables tab for mapping and system variables.


Expressions resolve to a single value of a specific datatype. For example, the expression LENGTH (“HELLO WORLD”) / 2 returns a value of 5.5. The function LENGTH calculates the length of the string including all blank spaces as 11 bytes. Tip: Highlighting a function and pressing F1 will launch the online help and open it at the highlighted

function section.


69

Variables and Scope

A transformation variable is created by creating a port and selecting the V check box. When V is checked, the I and O check boxes are grayed out. This indicates that a variable port is neither an input nor an output port.

70


When a record is processed, the expression is evaluated and the result assigned to the variable port. The result must be compatible with the datatype selected for the port otherwise an error is generated. The variable persists across the entire set of records that traverse the transformation. It may be used or modified anywhere in the set of data that is being processed.

Example 1 Check, Clean and Record Errors Suppose that we want to: ♦

Clean Up Item Name: The s Receivable department is tired of generating reports with an inconsistent set of Items Names. Some are in UPPERCASE while others are in lower case; still others are in mixed case. They would like to see all of the data in a Title case mode. They would also like a count of how many changes have been made.

♦

Missing Data: The Systems and Application group is concerned that occasionally some incomplete data is sent to end s. They will like to tag each record as an error and be able to report and investigate the data where critical fields are missing data.

♦

Invalid Dates: Due to applications issues, occasionally dates are not valid. The AR departments, as well as the auditors are very concerned about this issue. They want every record with a bad date tagged and reported on.

♦

Invalid Numbers: The Sales Department is concerned that occasionally they see non-numeric data in a report that covers sales discounts where they expect to see numeric data. Find all errors and tag the records.


71

The mapping could use the following functions and expressions: REQ

Functions Used

Notes

Expression

1

INITCAP

The INITCAP function will place the text in title case.

INITCAP(ITEM_NAME)

2

ISNULL LENGTH IS_SPACES

ISNULL will check for a NULL while IS_SPACES will look for a string that has spaces in it. If Length = 0, then the string is empty.

ISNULL (port_name) OR LENGTH (port_name) = 0 OR IS_SPACES(port_name)

3

IS_DATE

The IS_DATE function will check the input and determine if the date is Valid.

IS_DATE ("03/01/2005","MM/DD/ YYYY")

4

IS_NUMBER

The IS_DATE function will check the input and determine is the number is valid.

IS_NUMBER ("3.1415")

Example 2 Calculate Sales Discounting and Inventory Days Suppose we want to calculate: ♦

Discount Tracking: Sales Management would like to compare the amount of the suggested sell price to the actual sell price to determine the level of discounting. They plan to do this via a report. They would like a field developed that calculates sales discount.

♦

Days in Inventory: The Sales and Marketing departments would like to be able to determine how long an item was in inventory.

The mapping could use the following functions and expressions. REQ

Functions Used

Notes

Expression

1

Arithmetic

This is an Arithmetic expression.

( ( MSRP - ACTUAL ) / MSRP ) * 100

2

TO_DATE DATE_DIFF

TO_DATE will convert a string into an Informatica Internal Date and the DATE_DIFF function will calculate the difference between two dates in the units specified in the format operand. Here, the difference is returned in days because the format is 'DD'.

DATE_DIFF ( TO_DATE (SOLD_DT, 'MM/DD/YYYY'), TO_DATE (INVENTORY_DT, 'MM/DD/ YYYY'), 'DD' )

Performance Considerations Multiple identical conversions of the same data should be avoided. Ports that do not need modification should by the Expression transformation to save buffers.

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Lesson 4-2. Filter Transformation

Type Active.

Description The Filter transformation allows rows which meet the filter condition to through the transformation. Rows which do not meet the filter condition are skipped.

Business Purpose A business may chose not to process records which do not meet a data quality criterion, such as containing a null value in a field which may cause a target constraint violation or eliminate from the process date field values which will not provide useful data.

Example 1 Existing customer dimension records need to be updated to reflect changes to columns like address. However, only existing customer records are to be updated. The following example uses a Lookup to the customer exits and a filter to skip records which do not have an exiting customer (MSTR_CUST_ID) id. An Update Strategy tags the records for update which the filter condition.


73

Performance Considerations Filter records which do not meet the selection criterion as early as possible in a mapping to reduce the number of rows processed, decrease throughput and decrease run-time. In fact any active transformation, that decreases the number of rows (the Normalizer and the Router can increase the number of rows), should be placed as early as possible in the mapping to decrease total rows throughput and improve performance.

74


Lesson 4-3. File Lists In a Session task, you can set the source instance to point to a file list (list of flat files or XML files).

♦

The session processes each file in turn.

♦

The properties of all files must match the source definition.

♦

Wild cards are not allowed.

♦

All of the files must exist.

Sample file list: d:\data\eastern_trans.dat e:\data\midwest_trans.dat f:\data\canada_trans.dat


75

Lesson 4-4. Workflow Scheduler Workflows can be scheduled to run at regular intervals.

Run Options

76


♦

Run on Integration Service Initialization—will run the workflow each time the integration service initializes and then schedules it based on the other options.

♦

Run on demand—runs the workflow only when asked to.

♦

Run continuously—runs the workflow in a continuous mode. When the workflow finishes it will start again from the beginning.


77

78


Unit 4 Lab: Load the Customer Staging Table Business Purpose The staging area for Mersche Motors data warehouse has a customer s table. Mersche Motors receives new data from their regional sales offices daily in the form of three text files. The text files are identical. For processing simplicity, Mersche Motors will be making use of the PowerCenter ability to read a list of files from a single source. The mapping that will do this will run on a nightly schedule at midnight.

Technical Description PowerCenter will source from a file list. This file list contains the names of three delimited flat files from the regional sales offices. All rows with a customer number of 99999 will need to be filtered out. There are a number of columns that will need to have the data reformatted, this will include substrings, concatenation and decodes. The target will be truncated until the mapping is fully tested.

Objectives ♦

Create a Filter transformation to eliminate unwanted rows from a flat file source

♦

Create an Expression transformation to reformat incoming rows before they are written to a target

♦

Use the DECODE function as a small lookup to replace values for incoming data before writing to target

♦

Create a session task that will accept a file list as a source

♦

Create a workflow that can run on a schedule

Duration 60 Minutes

Unit 4 Lab: Load the Customer Staging Table Informatica PowerCenter 8 Level I Developer

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m_Stage_Customer_s_xx

Source System

Flat files

Target System

Oracle Table

Initial Rows

6184

Rows/Load

6177

Short Description

Flat file list (customer_east.txt, customer_west.txt, customer_central.txt) comma delimited files that need to be filtered and reformatted before they are loaded into the target table.

Load Frequency

Scheduled run every night at midnight.

Preprocessing Post Processing Error Strategy

Default


SOURCES Files File Name

File Location

Fixed/Delimited


customer_central.txt, customer_east.txt, customer_west.txt

C:\pmfiles\SrcFiles

Delimited

These 3 comma delimited flat files will be read into the session using a filelist named customer_list.txt.

Definition in customer_layout.txt

The layout of the flat files can be found in customer_layout.txt

customer_list.txt

C:\pmfiles\SrcFiles

NA

File list

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

STG_CUSTOMERS

Insert

Unique Key

X


Source

80

Filter

Expression

Target



81

Target Column

CUST_ID

CUST_NAME

CUST_ADDRESS

CUST_CITY

CUST_STATE

CUST_ZIP_CODE

CUST_COUNTRY

CUST_PHONE

CUST_GENDER

CUST_AGE_GROUP

CUST_INCOME

CUST_E_MAIL

CUST_AGE

Target Table

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

STG_CUSTOMER

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

customer_layout

Source Table

SOURCE TO TARGET FIELD MATRIX

AGE

EMAIL

INCOME

AGE

GENDER

PHONE_NUMBE R

COUNTRY

ZIP

STATE

CITY

ADDRESS

FIRSTNAME LASTNAME

CUSTOMER_NO

Source Column

The CUST_AGE_GROUP is derived from the decoding of AGE column. The valid age groups are less than 20, 20 to 29, 30 to 39, 40 to 49, 50 to 60 and GREATER than 60.

The CUST_GENDER is derived from the decoding of the GENDER column. The GENDER column is a 1 character column that contains either 'M' (male) or 'F' (female). Any other values will resolve to 'UNK'.

The CUST_PHONE is a reformat of the PHONE_NUMBER column. The PHONE_NUMBER column is in the format of 9999999999 and needs to be reformatted to (999) 999-9999.

The CUST_NAME column is a concatenation of the firstname and lastname ports.

Any customer numbers that are equal to 99999 are considered customer inquiries and not part of the sales transactions.

Expression

This mapping will reformat the customer names, gender and telephone number columns.


Customer inquiries are captured using customer_no 99999. The mapping will filter out the customer inquiries.

PROCESSING DESCRIPTION (DETAIL)

Instructions Step 1: Create a Flat File Source Definition 1.

Launch the Designer client tool.

2.

to the PC8_DEV repository with the name studentxx, where xx represents your student number as assigned by the instructor.

3.

Open your student folder.

4.

Import the customer_layout.txt flat file definition. This file is located in the c:\pmfiles\SrcFiles directory. If the file is located in a different directory, your instructor will specify. Ensure that the following parameters are selected: ♦ ♦ ♦ ♦

Import field names from first line. Comma delimited flat file. Text Qualifier is Double quotes. Format of the Date field is Datetime. Tip: Only one flat file definition is required when using a file list as a source in Power Center. All the files that make up the file list must have same identical layout in order for the file list to be successfully processed by Power Center.

5.

Confirm that your source definition appears as displayed in Figure 4-1. Figure 4-1. Source Analyzer View of the customer_layout Flat File Definition

6.

Save your work to the repository.

Step 2: Create a Relational Target Definition 1.

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Import the STG_CUSTOMERS table found in your tdbuxx schema.


2.

Confirm that your target definition appears the same as displayed in Figure 4-2. Figure 4-2. Target Designer View of the STG_CUSTOMERS Table Relational Definition


Create a new mapping named m_Stage_Customer_s_xx.

2.

Add customer_layout flat file source to the mapping

3.

Add STG_CUSTOMERS target to the mapping. Your mapping will appear similar to Figure 4-3. Figure 4-3. Mapping with Source and Target Definitions

Step 4: Create a Filter Transformation 1.

Select the Filter transformation tool button located on the Transformation tool bar and place it in the workshops between the Source Qualifier and the Target. The icon is shown highlighted below:


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Your mapping will appear similar to Figure 4-4. Figure 4-4. Mapping with Newly Added Filter Transformation

2.

Link the following ports from the Source Qualifier to the Filter: ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦

3.

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CUSTOMER_NO FIRSTNAME LASTNAME ADDRESS CITY STATE ZIP COUNTRY PHONE_NUMBER GENDER INCOME EMAIL AGE

Edit the Filter transformation. a.

Rename it to fil_Customer_No_99999.

b.

Select the Properties tab.


Your display will appear similar to Figure 4-5. Figure 4-5. Properties Tab of the Filter Transformation

4.

Click the dropdown arrow for the Filter Condition Transformation Attribute to activate the Expression Editor.

5.

Remove the TRUE condition from the Expression Editor.

6.

Enter in the following the expression: CUSTOMER_NO != 99999 OR ISNULL(CUSTOMER_NO)

7.

Click the OK to return to the Properties of the Filter transformation. The Properties will appear as displayed in Figure 4-6. Figure 4-6. Completed Properties Tab of the Filter Transformation

8.

Click OK to return to the normal view of the mapping object.

Step 5: Create an Expression Transformation 1.

Create an Expression transformation directly after the Filter transformation. Select the Expression transformation tool button located on the Transformation tool bar and place it in the workspace directly after the Filter. The icon is shown highlighted below:


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2.

Select the following ports from the Filter transformation and them to Expression transformation: ♦

FIRSTNAME LASTNAME PHONE_NUMBER GENDER AGE

♦ ♦ ♦ ♦

Your mapping will appear similar to Figure 4-7. Figure 4-7. Filter Transformation Linked to the Expression Transformation

3.

Edit the Expression transformation object. a.

Rename it exp_Format_Name_Gender_Phone.

b.

Change the port type to input for all of the ports except AGE. (AGE should remain an input/ output port.)

c.

Prefix each of these input only ports with IN_.

d.

Create a new output port after the AGE port by positioning the cursor on the AGE port and clicking the add icon.

♦

Port Name = OUT_CUST_NAME Dataytype = String Precision = 41 Expression = IN_FIRSTNAME ||' ' ||IN_LASTNAME

♦ ♦ ♦

Velocity Best Practice: Prefixing input only ports with IN_ and output ports with OUT_ is a Velocity best practice. This makes it easier to tell what the ports are without having to go into the transformation. Tip: This new port will concatenate the FIRSTNAME and LASTNAME ports into a single string. Do not use the CONCAT function to concatenate in expressions. Use || to achieve concatenation. The CONCAT function is only available for backwards compatibility. 4.

Create a new output port after the OUT_CUST_NAME port. ♦

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Port Name = OUT_CUST_PHONE Unit 4 Lab: Load the Customer Staging Table Informatica PowerCenter 8 Level I Developer

♦ ♦ ♦

Datatype = String Precision = 14 Expression = '(' || SUBSTR(TO_CHAR(IN_PHONE_NUMBER),1,3) || ') ' || SUBSTR(TO_CHAR(IN_PHONE_NUMBER),4,3) ||'-' || SUBSTR(TO_CHAR(IN_PHONE_NUMBER),7,4)

Tip: The expression above uses a technique known as nesting functions. TO_CHAR function is nested inside the SUBSTR function. The TO_CHAR function is performed first. The SUBSTR function is then performed against the return value from TO_CHAR. 5.

Create new output port after the OUT_CUST_PHONE port. ♦ ♦ ♦ ♦

Port Name = OUT_GENDER Datatype = String Precision = 6 Expression = DECODE(IN_GENDER, 'M', 'MALE', 'F', 'FEMALE', 'UNK')

Tip: The DECODE function used in the previous expression can be used to replace nested IIF functions or small static lookup tables. The DECODE expression in the previous step will return the value MALE if incoming port GENDER is equal to M, FEMALE if GENDER equals F, or UNK if GENDER equals anything else beside F or M. 6.

Create a new output port after the OUT_GENDER PORT. ♦ ♦ ♦ ♦

Port Name = OUT_AGE_GROUP Datatype = String Precision = 20 Expression = Write an expression using the DECODE function that will assign the appropriate age group label to each customer based on their age. Use the online help to see details about the DECODE. If after 5 minutes you have not successfully created the DECODE statement, refer to the reference section at the end of the lab for the solution. The valid age ranges and age groups are displayed in the table below. The format of the DECODE statement follows the table. Age Range

Age Group Text

AGE<20

LESS THAN 20

AGE >= 20 AND <= 29

20 TO 29

AGE >= 30 AND <= 39

30 TO 39

AGE >= 40 AND <= 49

40 TO 49

AGE >= 50 AND <= 60

50 TO 60

AGE > 60

GREATER THAN 60


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Figure 4-8. Sample Expression

7.

Save your work.

8.

Connect the following ports from the Expression transformation to the target table: AGE J

CUST_AGE

OUT_CUST_NAME J

CUST_NAME

OUT_CUST_PHONE J CUST_PHONE_NMBR

9.

OUT_GENDER J

CUST_GENDER

OUT_AGE_GROUP J

CUST_AGE_GROUP

Connect the following ports from the Filter transformation to the target table: CUSTOMER_NO J

CUST_ID

ADDRESS J

CUST_ADDRESS

CITY J

CUST_CITY

STATE J

CUST_STATE

ZIP J

CUST_ZIP_CODE

COUNTRY J

CUST_COUNTRY

INCOME J

CUST_INCOME

EMAIL J

CUST_E_MAIL

10.

Save your work.

11.

that your mapping is valid.

12.

Right click in the workspace and select Arrange All Iconic. Figure 4-9. Iconic View of the Completed Mapping


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Launch the Workflow Manager and sign into your assigned folder.


2.

Open the Workflow Designer tool and create a new workflow named wkf_Stage_Customer_s_xx.

3.

Create a Session task using the session task tool button.

4.

Select m_Stage_Customer_s_xx from the Mapping list box, and click OK.

5.

Link the Start object to the s_m_Stage_Customer_s_xx session task.

6.

Edit the s_m_Stage_Customer_s_xx session.

7.

Under the Mapping tab: a.

Select SQ_customer_layout located under the Sources folder in the navigator window.

b.

Confirm that Source file directory is set to $PMSourceFileDir\.

c.

In Properties | Attribute | Source filename type in customer_list.txt.

Tip: The source instance you are reading is known a File List. It is a list of files which will be appended together and treated as one source file by Power Center. The name of the text file that is listed in Properties | Attribute | Source filename will be a text file that contains a list of the text files to be read in as individual sources. When you create a file list you open a blank text file with a application such as Notepad and type on a separate line each text file that is to be read as part of the file list. You may precede each file name with directory path information. If you don't provide directory path information, Power Center assumes the files will be located in the same location as the file list file. d.

In Properties | Attribute | Source filetype click the dropdown arrow and change the default from Direct to Indirect.

Tip: When you use the file list feature in Power Center you have to set Properties | Attribute |

Source filetype to Indirect. The default is Direct. To change the setting, click the dropdown arrow and set the value you want to use.


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Your screen should appear similar to Figure 4-10. Figure 4-10. Session Task Source Properties

The file list file used in this exercise lists three text files which are found in the default location of the file list file, $PMSourceFileDir\. Figure 4-11 displays the contents of customer_list.txt. Figure 4-11. Contents of the customer_list.txt File List

e.

Select STG_CUSTOMERS located under the Target folder in the navigator window.

♦

Set the relational target connection object property to NATIVE_STGxx, where xx is your student number. Check the property Truncate target table option in the target properties.

♦

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8.

Save your work.

9.

Check Validate messages to ensure your workflow is valid.

10.

Start the workflow.

11.

Review the session properties.


Your information should appear as displayed in Figure 4-12. Figure 4-12. Properties for the Completed Session Run

12.

Review the Source/Target Statistics. Your statistics should be the same as displayed in Figure 4-13. Figure 4-13. Source/Target Statistics for the Completed Session Run

13.

If your session failed or had errors troubleshoot and correct them by reviewing the session log and making any necessary changes to your mapping or workflow.


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Data Results Preview the target data from the Designer. Your data should appear as displayed in Figure 4-14. Figure 4-14. Data Preview of the STG_CUSTOMERS Target Table

Observe the CUST_PHONE, CUST_GENDER, CUST_AGE_GROUP columns. These columns required transforming using the Expression transformation. Scroll down and review these columns. you wrote your expressions correctly.

Step 7: Schedule a Workflow

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1.

After debugging has been completed run the workflow for a final time for an initial table load.

2.

Open the session task for the mapping and ensure the truncate table property is checked.

3.

Save any changes to the repository.


4.

Select Workflows > Edit. This will display the screen seen in Figure 4-15. Figure 4-15. General Properties for the Workflow

5.

Select the Scheduler tab.

6.

Select the Edit Scheduler command button

7.

Type sch_Stage_Customers_s_xx in the Name text box.

8.

Select the Schedule tab.

.

a.

Clear the Run on demand check box.

b.

Select the Customized Repeat radio button and click the Edit button. i.

Select Week(s) from the Repeat every dropdown box.

ii.

Check the Monday, Tuesday, Wednesday, Thursday, Friday Weekly check boxes.

iii.

Select the Run once radio button in the Daily frequency group.


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Your customized options should appear the same as displayed in Figure 4-16. Figure 4-16. Customized Repeat Selections

iv.

Click OK.

c.

Set the Start Date in the Start options group to tomorrow's date.

d.

Set the Start Time to 00:01.

e.

Select the Forever radio button in the End options group. Your schedule options will appear similar to the one displayed in Figure 4-17. Figure 4-17. Completed Schedule Options

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9.

Click OK twice.

10.

Save your changes to the repository. Unit 4 Lab: Load the Customer Staging Table Informatica PowerCenter 8 Level I Developer

11.

Right click in the workspace and select Schedule Workflow.

12.

Check the Workflow Monitor to confirm that the workflow has been scheduled.

References 1.

Decode Statement DECODE(TRUE, AGE < 20,

'LESS THAN 20',

AGE >= 20 AND AGE <= 29, '20 TO 29', AGE >= 30 AND AGE <= 39, '30 TO 39', AGE >= 40 AND AGE <= 49, '40 TO 49', AGE >= 50 AND AGE <= 60, '50 TO 60', AGE > 60, 'GREATER THAN 60')


95

96


Unit 5: s, Features and Techniques In this unit you will learn about: ♦

Heterogeneous s

♦

er transformations.

The labs also illustrate various PowerCenter mapping features and techniques.

Lesson 5-1. er Transformation s combine data from different records (rows). s select rows from two different pipelines based on a relationship between the data, e.g. matching customer ID. One source is designated the Master, the other Detail.

Unit 5: s, Features and Techniques Informatica PowerCenter 8 Level I Developer

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Type Active.

Description The er transformation combines fields from two data sources into a single combined data source based on one or more common fields also know as the condition.

Business Purpose A business has data from two different systems that needs to be combined to get the desired results.

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Example A business has sales transaction data on a flat file and product data on a relational table. The company needs to the sales transaction to the product table to get some product information. We need to use the er transformation to accomplish this task.

er Properties


99

Types There are four types of conditions ed by the er transformation:

er Cache How it Works ♦

There are two types of cache memory, index and data cache.

♦

All rows from the master source are loaded into cache memory.

♦

The index cache contains all port values from the master source where the port is specified in the condition.

♦

The data cache contains all port values not specified in the condition.

♦

After the cache is loaded the detail source is compared row by row to the values in the index cache.

♦

Upon a match the rows from the data cache are included in the stream.

Key Point If there is not enough memory specified in the index and data cache properties, the overflow will be written out to disk.

Performance Considerations The master source should be the source that will take up the least amount of space in cache. Another performance consideration would be the sorting of data prior to the er transformation (discussed later).

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Lesson 5-2. Shortcuts


101

102


Unit 5 Lab A: Load Sales Transaction Staging Table Business Purpose Mersche Motors receives sales transaction data from their regional sales offices in the form of a text file. The sales transaction data needs to be loaded to the staging table daily.

Technical Description PowerCenter will source from a flat file and relational table. A er transformation is used to create one dataflow that is then written to a relational target. The flat file is missing one field the staging table needs—the cost of each product. This value can be read from the STG_PRODUCT table. Each row of the source file contains a value named Product. This value has an identical corresponding value in the STG_PRODUCT table PRODUCT_ID column. Use the er transformation to the flat file to the relational table (heterogeneous ) and then write the results to the STG_TRANSACTIONS table.

Objectives ♦

Create a er transformation and use it to two data streams from two different Source Qualifiers.

♦

Select the master side of the .

♦

Specify a condition.

Duration 30 minutes

Unit 5 Lab A: Load Sales Transaction Staging Table Informatica PowerCenter 8 Level I Developer

103


m_STG_TRANSACTIONS_xx

Source System

Flat file

Oracle table

Initial Rows

5474

Short Description

Flat file and oracle table will be ed into one source datastream which will be written to an oracle target table.

Load Frequency

Daily

Preprocessing

Target Append

48

Target System

Oracle table

Rows/Load

5474


Default


PRODUCT_ID


Schema/Owner

STG_PRODUCT

TDBUxx

Selection/Filter

Files File Name

File Location

Fixed/Delimited


sales_transactions.txtt

C:\pmfiles\SrcFiles

Delimited

Comma delimiter

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

STG_TRANSACTIONS

Insert

Unique Key

X


Flat File Source er Transformation

Relational Target

Relational Source

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PROCESSING DESCRIPTION (DETAIL) The flat file source has all the required detail except for product cost. It will be ed with the relational source into one data stream allowing access to the product cost for each sales transaction. The relational table will have fewer columns to on as well as fewer rows. The columns to on are PRODUCT_ID and PRODUCT. The single data stream will then be written to a staging table. Also, there are a number of fields in the source file that need further scrutiny during the import process.


Target Column

Source File

Source Column

STG_TRANSACTIONS

CUST_ID

Sales_transactions

CUST_NO

STG_TRANSACTIONS

PRODUCT_ID

Sales_transactions

PRODUCT

STG_TRANSACTIONS

DEALERSHIP_ID

Sales_transactions

DEALERSHIP

STG_TRANSACTIONS

PAYMENT_DESC

Sales_transactions

PAYMENT_DESC

STG_TRANSACTIONS

PROMO_ID

Sales_transactions

PROMO_ID

STG_TRANSACTIONS

DATE_ID

Sales_transactions

DATE_ID

STG_TRANSACTIONS

TRANSACTION_DATE

Sales_transactions

TRANSACTION_DATE

STG_TRANSACTIONS

TRANSACTION_ID

Sales_transactions

TRANSACTION_ID

STG_TRANSACTIONS

EMPLOYEE_ID

Sales_transactions

EMPLOYEE_ID

STG_TRANSACTIONS

TIME_KEY

Sales_transactions

TIME_KEY

STG_TRANSACTIONS

SELLING_PRICE

Sales_transactions

SELLING PRICE

STG_TRANSACTIONS

UNIT_COST

STG_PRODUCT

PRODUCT_COST

STG_TRANSACTIONS

DELIVERY_CHARGES

Sales_transactions

DELIVERY CHARGES

STG_TRANSACTIONS

SALES_QTY

Sales_transactions

QUANTITY

STG_TRANSACTIONS

DISCOUNT

Sales_transactions

DISCOUNT

STG_TRANSACTIONS

HOLDBACK

Sales_transactions

HOLDBACK

STG_TRANSACTIONS

REBATE

Sales_transactions

REBATE


Expression


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Launch the Designer client tool (if it is not already running) and open you student folder.

2.

Open the Source Analyzer tool.

3.

Import sales_transactions.txt comma delimited flat file.

4.

Ensure that the Transaction Date field has a Datatype of Datetime.

5.

Save the repository.

Step 2: Create a Relational Source Definition 1.

you are in the Source Analyzer tool, and import STG_PRODUCT table found in your tdbuxx schema. Use ODBC_STG as the ODBC data Source. Note that you are importing the table as a source definition, even though it is in your “target” (tdbuxx) schema.

2.



Open the Target Designer tool.

2.

Import the STG_TRANSACTIONS table found in your tdbuxx schema.


Open the Mapping Designer tool.

2.

Create a new mapping named m_STG_TRANSACTIONS_xx.

3.

Add the sales_transactions flat file source to the new mapping.

4.

Add the STG_PRODUCT relational source to the new mapping.

5.

Add the STG_TRANSACTIONS relational target to the new mapping. Your mapping should appear similar to Figure 5-1. Figure 5-1. Normal View of the Heterogeneous Sources, Source Qualifiers and Target

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Step 5: Create a er Transformation 1.

Select the er transformation icon located on the Transformation tool bar with a single left click. Figure 5-2 shows the er transformation button: Figure 5-2. er Transformation Button

2.

Create a new er transformation.

3.

Select all the ports from the SQ_sales_transactions object and copy/link them to the er transformation.

4.

Select only the PRODUCT_ID and PRODUCT_COST ports from SQ_STG_PRODUCT object and copy them to the er transformation. Your mapping should be similar to Figure 5-3. Figure 5-3. Normal View of Heterogeneous Sources Connected to a er Transformation

5.

Edit the er transformation. a.

Rename it to jnr_Sales_Transaction_To_STG_PRODUCT.

b.

Select the Ports tab.

c.

Set the Master (M) property to the STG_PRODUCT ports.

Tip: Which ports should be the Master? Use the source that is the smaller, in rows and bytes, if the data is not sorted. If the source data is sorted, use the source with the fewest number of column duplicates.


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Figure 5-4. Edit View of the Ports Tab for the er Transformation

6.

d.

Uncheck the output check box for PRODUCT_ID.

e.

Rename the PRODUCT_ID port to IN_PRODUCT_ID.

Select the Condition tab. a.

Click the Add a new condition button. Figure 5-5 displays the Add a new condition button as selected. Figure 5-5. Edit View of the Condition Tab for er Transformation Without a Condition

The Master drop down box will default to IN_PRODUCT_ID.

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b.

Select the Detail drop down box and set it to PRODUCT. Your condition should be the same as displayed in Figure 5-6. Figure 5-6. Edit View of the Condition Tab for the er Transformation with Completed Condition

Tip: The er transformation can multiple port conditions to create a . If you need multiple port conditions simply click the Add a new condition button to add the other ports that make up the multiple port condition. c. 7.

Click OK.


Step 6: Link the Target Table 1.

Link the following ports from the er transformation to the corresponding columns in the target object. Example: ER PORT J TARGET COLUMN CUST_NO J

CUST_ID

PRODUCT J

PRODUCT_ID

DEALERSHIP J

DEALERSHIP_ID

PAYMENT_DESC J

PAYMENT_DESC

PROMO_ID J

PROMO_ID

DATE_ID J

DATE_ID

TRANSACTION DATE J TRANSACTION_DATE TRANSACTION_ID J

TRANSACTION_ID

EMPLOYEE_ID J

EMPLOYEE_ID

TIME_KEY J

TIME_KEY

SELLING PRICE J

SELLING_PRICE

PRODUCT_COST J

UNIT_COST

DELIVERY CHARGES J DELIVERY_CHARGES QUANTITY J

SALES_QTY

DISCOUNT J

DISCOUNT

HOLDBACK J

HOLDBACK

REBATE J

REBATE


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Figure 5-7 displays the ports linked to their corresponding columns. Figure 5-7. Normal View of Completed Mapping Heterogeneous Sources Not Displayed

2.


3.

your mapping is valid in the Output window. If the mapping is not valid, correct the invalidations that are displayed in the message.

Step 7: Create a Workflow and Session Task 1.

Launch the Workflow Manager application (if it is not already running) and to the repository and your student folder.

2.

Open the Workflow Designer tool and create a new workflow named wkf_STG_TRANSACTIONS_xx.

3.

Add a new Session task using the session task icon.

4.

Select m_STG_TRANSACTIONS_xx from the Mapping list box and click OK.

5.

Link the Start object to the s_m_STG_TRANSACTIONS_xx session task object.

6.

Edit the s_m_STG_TRANSACTIONS_xx session task. a.


b.

Select SQ_sales_transactions located under the Sources folder in the Mapping navigator.

c.

Confirm that Properties | Attribute | Source file directory is set to $PMSourceFileDir\

d.

In Properties | Attribute | Source filename that sales_transactions.txt is displayed. The file extension (.txt) must be present.

e.

Select SQ_STG_PRODUCT located under the Sources folder in the navigator window. Set the Connections | Type to your assigned Native_STGxx connection object.

f.

Select STG_TRANSACTIONS located under the Target folder in the navigator window. Set the Connections | Type to your assigned Native_STGxx connection object. Check the Truncate target table option checkbox.

7.

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8.

Check Validate messages to ensure your workflow is valid. If you received an invalid message, correct the problem(s) and re-validate/save.

Step 8: Start the Workflow and View Results in the Workflow Monitor 1.

Start the workflow.

2.

Confirm that the Workflow Monitor application launches automatically.

3.

Maximize the Workflow Monitor.

4.

Double-click the session with your left mouse button and view the Task Details window. Your information should appear similar to Figure 5-8. Figure 5-8. Task Details of the Completed Session Run

5.

Select the Transformation Statistics tab. Your statistics should be similar to Figure 5-9. Figure 5-9. Source/Target Statistics for the Session Run

6.

If your session failed or had an error proceed to the next step.

7.

Right-click the Session again and select Get Session Log.

8.

Search the session log for error messages that caused your session to have issues. Read the messages and correct the problem. Rerun your workflow to test your fix(s). Ask your instructor for help if you get stuck.


111

Data Results Preview the target data from the Designer. Your data should appear the same as displayed in Figure 5-10. Figure 5-10. Data Preview of the STG_TRANSACTIONS Table

112



113

114


Unit 5 Lab B: Features and Techniques I Business Purpose The management wants to increase the efficiency of the PowerCenter Developers.

Technical Description This lab will detail the use of 13 PowerCenter Designer features. Each of these features will increase the efficiency of any developer who knows how to use them efficiently. At the discretion of the instructor, this lab can also be completed as a demonstration.

Objectives ♦

Auto Arrange

♦

Remove Links

♦

Revert to Saved

♦

Link Path

♦

Propagating Ports

♦

Autolink by Name and Position

♦

Moving Ports

♦

Shortcut to Port Editing from Normal View

♦

Create Transformation Methods

♦

Scale-To-Fit

♦

Designer Options

♦

Object Shortcuts and Copies

♦

Copy Objects Within and Between Mappings

Duration 50 minutes

Unit 5 Lab B: Features and Techniques I Informatica PowerCenter 8 Level I Developer

115

Instructions Open a Mapping In the Designer tool: 1.


2.

Open mapping m_Stage_Customer_s_xx.

Feature 1: Auto Arrange The Designer includes an Arrange feature that will reorganize objects in the Workspace in one simple step. This aids in readability and analysis of the mapping flow and can be applied to certain paths through a mapping associated with specific target definitions. In a couple of clicks, this feature can take a mapping that looks like Figure 5-11. Figure 5-11. View of an Unorganized Mapping

116


And change it to look like Figure 5-12. Figure 5-12. Arranged View of a Mapping

1.

Choose Layout > Arrange All Iconic or right-click in the Workspace and select Arrange All Iconic. Figure 5-13. Iconic View of an Arranged Mapping

2.

Choose Layout > Arrange All or right-click in the Workspace and select Arrange All.

3.

Type Ctrl+S to save.

Tip: Notice the mapping would not save. When only formatting changes are made, it is not considered

a change. Another change must be made to the Repository in order for the formatting to be saved.


117

Feature 2: Remove Links Click-and-drag the pointer over the blue link lines that are between exp_Format_Name_Gender_Phone and STG_CUSTOMERS. Figure 5-14. Selecting Multiple Links

Tip: By default, each selected link changes in color from blue to red. If any other objects (e.g.,

transformations) were selected along with the links, redo the process. Press the Delete key to remove the connections. Ensure no icons are deleted.

Feature 3: Revert to Saved Tip: While editing an object in the Designer, if unwanted changes are made there is a way to revert to a previously saved version - undoing the changes since the last save. The Revert to Saved feature works with the following objects: sources, targets, transformations, mapplets and mappings. Tip: For mappings, Revert to Saved reverts all changes to the mapping, not just selected objects. Only

the active mapping in the workspace is reverted. In the Source Analyzer, Target Designer, and Transformation Developer, individual objects may be reverted. 1.

Select Edit > Revert to Saved. Figure 5-15. Designer Warning Box

118

2.

Select Yes to proceed.

3.

Edit the exp_Format_Name_Gender_Phone expression. Unit 5 Lab B: Features and Techniques I Informatica PowerCenter 8 Level I Developer

In the Ports tab, select the OUT_CUST_NAME port and click the Delete button. 4.

Similarly, delete the AGE port.

5.

Edit the SQ_customer_layout Source Qualifier and remove the AGE port.

6.

Select only the SQ_customer_layout Source Qualifier and choose Edit > Revert to Saved. The same dialog box appears - all changes must be reverted.

7.

Select Yes to proceed. Notice all changes were reverted, not just the changes made to the SQ_customer_layout.

Feature 4: Link Path Tracing link paths allows the developer to highlight the path of a port either forward or backward through an entire mapping or mapplet. If the class is doing this lab as a follow-along exercise, do a Revert to Saved so that everyone is synchronized. 1.

Ensure that the mapping is in the arranged normal view.

2.

Right-click on CUSTOMER_NO in the SQ_customer_layout Source Qualifier and choose Select Link Path > Forward. Figure 5-16. Selecting the forward link path

Notice how the path for CUSTOMER_NO, from SQ_customer_layout all the way to STG_CUSTOMERS, is highlighted in red. Figure 5-17. Highlighted forward link path


119

3.

Right-click on the OUT_CUST_NAME port in the exp_Format_Name_Gender_Phone and select Link Path > Both. Figure 5-18. Highlighted link path going forward and backward

Notice how the OUT_CUST_NAME port's path not only shows where it proceeds to the STG_CUSTOMERS target definition, but also from its origin all the way back to the customer_layout source definition. Both the IN_FIRSTNAME and IN_LASTNAME are used in the formula to produce OUT_CUST_NAME, so both links are highlighted in red.

Feature 5: Propagating Ports Tip: When a port name, datatype, precision, scale, or description is changed, those changes can be propagated to the rest of the mapping. 1.

Edit SQ_customer_layout and change CUSTOMER_NO to CUST_NO and change the Precision to 10.

2.

Click OK.

3.

Right click on CUST_NO in the SQ_customer_layout transformation and select Propagate Attributes. Figure 5-19. Selecting to propagate the attributes

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4.

Under Attributes to propagate, choose Name and Precision with a Direction of Forward. Figure 5-20. Propagation attribute dialog box

5.

Choose Preview. Notice the arrow between SQ_customer_layout and fil_Customer_No_99999 turns green. The green arrow indicates the places where a change would be made. Why is there only one change?

6.

Select Propagate. Was a change made in the filter?

7.

Click Close.

8.

Edit SQ_customer_layout and change GENDER to CUST_GENDER and change the Precision to 7.

9.

Click OK.

10.

Right click on CUST_GENDER in the SQ_customer_layout transformation and select Propagate Attributes. a.

Under Attributes to propagate, choose Name and Precision with a direction of Forward.

b.

Select Preview. Notice the green arrows? What will be changed?

c.

Select Propagate.

d.

Edit exp_Format_Name_Gender_Phone and open the Expression Editor for OUT_GENDER. Notice the expression now contains CUST_GENDER.

e.

Close the Propagate dialog box.

Feature 6: Autolink by Name and Position Tip: Developers can automatically link ports by name in the Designer. Use any of the following options to automatically link by name: ♦

Link by name

♦

Link by name and prefix

♦

Link by name and suffix

The Designer adds links between input and output ports that have the same name. Linking by name is case insensitive. Link by name when using the same port names across transformations. 1.

Revert to Saved to reset the mapping.


121

2.

Remove the links between the exp_Format_Name_Gender_Phone and the STG_CUSTOMERS target definition.

3.

Right-click in the white space inside the mapping. Choose Autolink by Name

The Autolink dialog box opens. Figure 5-21. Autolink dialog box

Tip: Only one transformation may be selected in the From Transformation box and one to many transformations may be selected in the To Transformations box. For objects that contain groups, such as Router transformations or XML targets, select the group name from the To Transformations list.

122

4.

Select the exp_Format_Name_Gender_Phone transformation from the From Transformation dropdown menu; then highlight the STG_CUSTOMERS transformation in the To Transformations box.

5.

Click OK.


Notice that nothing happened. Look carefully at the exp_Format_Name_Gender_Phone and STG_CUSTOMERS and you will notice that none of the ports match exactly, therefore autolink by name will not work in this situation. Would autolink by position work? Tip: When autolinking by name, the Designer adds links between ports that have the same name, case insensitive. The Designer also has the ability to link ports based on prefixes or suffixes defined. Adding suffixes and/or prefixes in port names help identify the ports purpose. For example, a suggested best practice is to use the prefix “OUT_” when the port is derived from input ports that were modified as it es through the transformation. Without this feature, Autolink would skip over the names that don't match and force the developer to manually link the desired ports. 6.

Select Layout > Autolink.

7.

Select the exp_Format_Name_Gender_Phone transformation from the From Transformation dropdown menu; then highlight the STG_CUSTOMERS transformation in the To Transformations box.

8.

Select the Name radio button.

9.

Click More to view the options for entering prefixes and suffixes. Note the button toggles to become the Less button.

10.

Type OUT_ in the From Transformation Prefix field.

11.

Click OK Notice that only the OUT_CUST_NAME port was linked. This is because this is the only port with a matching name. Figure 5-22. Defining a prefix in the autolink dialog box

Feature 7: Moving Ports 1.


2.

Open the exp_Format_Name_Gender_Phone and click on the Ports tab.

3.

Single-click on the AGE port and move it up to the top using the Up arrow icon found in the upper right corner of the toolbar.


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The results will look like Figure 5-23: Figure 5-23. Expression after the AGE port has been moved

4.

Single-click on the number to the left of the IN_PHONE_NUMBER port.

5.

Single-click and hold the left mouse button and note the faint square that appears at the bottom of the pointer. Figure 5-24. Click and drag method of moving ports

6.

Move PHONE_NUMBER directly below AGE.

7.

Click Cancel to discard the changes.

Feature 8: Shortcut to Port Editing from Normal View Tip: There is a shortcut to go from the Normal View directly to the port desired in the Edit View -

this is especially useful in transformation objects that have dozens of ports. 1.


2.

Resize or scroll down until the AGE port appears in the exp_Format_Name_Gender_Phone.

3.

Double-click on the AGE port.

4.

Notice you are now in the Ports tab.

5.

Delete the AGE port.

Feature 9: Create Transformation Methods

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1.


2.

On the Transformation toolbar, find the Aggregator Transformation

3.

Move the mouse into the Workspace. The cursor changes to crosshairs.

button and single-click.


4.

Single-click in the workspace where you want to place the transformation. The selected transformation appears in the desired location of the Workspace and the cursor changes back to an arrow. Tip: When the mouse pointer hovers over a transformation icon in the toolbar that the name of the transformation object appears momentarily.

5.

Select Transformation > Create. Figure 5-25. Creating a transformation using the menu

6.

Select the Aggregator from the drop-down list. Figure 5-26. Create Transformation dialog box

7.

Enter the name agg_TargetTableName and click Create.

8.

Click on the Done button and the new transformation appears in the Workspace. Figure 5-27. Normal View of the Newly Created Aggregator Transformation

Feature 10: Scale-to-Fit 1.



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There are features to change the magnification of the contents of the Workspace. Use the toolbar or the Layout menu options to set zoom levels. The toolbar has the following zoom options: Figure 5-28. Zoom options

2.

Click on the Zoom out 10% button

3.

Click anywhere in the Workspace and the mapping will zoom out by 10% each time the mouse is clicked.

4.

Keep clicking until the mapping is small enough to fit within the window.

on the toolbar.

Tip: Zoom out 10% on button. Uses a point selected as the center point from which to decrease the

current magnification in 10 percent increments.

5.

Click on the Zoom in 10% button

6.

Click anywhere in the Workspace and the mapping will zoom in by 10% each time the mouse is clicked.

on the toolbar.

Tip: Zoom in 10% on button increases the current magnification of a rectangular area selected.

Degree of magnification depends on the size of the area selected, Workspace size, and current magnification.

7.

Toggle off the Zoom in 10%

8.

Click on the Scale to Fit

button. button in the toolbar.

Another way to do this is to select Layout > Scale to Fit.

Feature 11: Designer Options Tip: The designer can display different attributes within each of the transformation objects. You can select which attributes you want displayed, such as: Name, Expression (where applicable), Data type and Length/Precision.

126

1.

Select Tools > Options.

2.

Click on the Tables tab. Unit 5 Lab B: Features and Techniques I Informatica PowerCenter 8 Level I Developer

3.

Select the Expression transformation type from the drop-down list.

4.

Delete the Length/Precision from the selected box.

5.

Click OK Notice how the Length/Precision no longer appears in the Expression transformation.

6.

Change the options back to where they originally were.

Feature 12: Object Shortcuts and Copies This feature allows you create a shortcut of an object (a source or target definition, a mapping, etc.) in any folder. A shortcut is a “pointer” to the original object. If the object is edited, all shortcuts inherit the changes. The shortcut itself cannot be edited. 1.

Select and double-click the DEV_SHARED folder. Note that the folder name in the Navigator window is now bold. This means that the folder is open. Figure 5-29. Navigator window in the Designer

2.

Open your student folder by either double clicking on it or by right-clicking on it and selecting open. Note that the DEV_SHARED folder is no longer bold (open) but it remains expanded so you can see the subfolders. Tip: Only one folder at a time can be open. Any number of folders can be expanded so that the subfolders and objects are visible. As we will see below, it is important to distinguish between expanded folders and the open folder.

3.

Open the Mapping Designer and close any mapping that is in the workspace.

4.

Expand the Mappings subfolder in the DEV_SHARED folder.

5.

Click and drag the m_Stage_Customer_s mapping to the Mapping Designer workspace and release the mouse button.


127

You will see the following confirmation message:

6.

Click Yes

7.

Save the changes to the repository. Note that your folder now has a shortcut to the mapping. Select the menu option Mappings ' Edit to see how the shortcut location is displayed.

8.

Open the Filter transformation in edit mode. Note that all properties are grayed-out and not editable. A shortcut can never be edited directly.

9.

Perform the same click-and-drag operation with the same mapping, only this time press the [Ctrl] key after you have begun to drag the mapping. Note that this creates a copy of the mapping instead of a shortcut.

10.

Click No in the Copy Confirmation message box. Tip: The destination folder (the folder you are placing the copy or shortcut into) must be the open folder. The origin folder that contains the original object will be expanded.

We will now learn how to copy an object within the same folder. The instructions below are to copy a mapping but the same procedure can be used for any other object. 1.

In the Navigator window, select any mapping in your folder.

2.

Press Ctrl+C on your keyboard, followed immediately by Ctrl+V.

3.

Click Yes in the Copy Confirmation message box. The Copy Wizard will be displayed.

4.

The red x on the mapping indicates a conflict. Choose Rename for the conflict resolution.

5.

Click the Edit button. If desired, you can supply your own new name to the mapping to replace the “1” added by the Designer. Mappings within a folder must have unique names.

6.

Click Next, then Finish.

Tip: A common error when copying objects within a folder is to use the mouse to move the cursor from

the object to the workspace after copying the object Ctrl+C. This is unnecessary and will cause the copy operation to fail.

Feature 13: Copy Objects Within and Between Mappings You may find that you would like to duplicate a given set of transformations within a mapping or a mapplet, preserving the data flow between them. This technique may prove useful if you know that you will need to use the logic contained in the transformations in other mappings or mapplets. 1.

128

Use the Arrange All Iconic feature on the m_Stage_Customer_s_xx mapping.


2.

Use your left mouse button to draw a rectangle that encloses the Filter and the Expression transformations. These objects will then appear selected.

3.

Press Ctrl+C on your keyboard, followed immediately by Ctrl+V. Note that both transformations have been copied into the mapping, including the data flow between the input and output ports. They have been automatically renamed with a “1” on the end of their names.

4.

Open another mapping in the Mapping Designer. It does not matter which mapping is used, provided it is not a shortcut.

5.

Press Ctrl+V. The transformations are copied into the open mapping.

Tip: The copy objects within and between mappings feature can be used only within a single folder. 6.

Close your folder but do not save the changes.


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130


Unit 6: Lookups and Reusable Transformations In this unit you will learn about: ♦

Lookup transformations

♦

Reusable transformations

Lesson 6-1. Lookup Transformation (Connected)

Unit 6: Lookups and Reusable Transformations Informatica PowerCenter 8 Level I Developer

131

Type ive.

Description A Lookup transformation allows the inclusion of additional information in the transformation process from an external database or flat file source. In SQL a Lookup transformation may be thought as a “sub-query”. The basic Lookup transformation types are connected, un-connected and dynamic.

Properties We will discuss only some of the properties in this section. The remaining properties will be discussed in other sections.

132


Option

Lookup Type

Description

Lookup SQL Override

Relational

Overrides the default SQL statement to query the lookup table.Use only with the lookup cache enabled.

Lookup Table Name

Relational

Specifies the name of the table from which the transformation looks up and caches values.

Lookup Policy on Multiple Match

Flat File, Relational

Determines what happens when the Lookup transformation finds multiple rows that match the lookup condition. You can select the first or last row returned from the cache or lookup source, or report an error.

Lookup Condition


Displays the lookup condition you set in the Condition tab.

Connection Information

Relational

Specifies the database containing the lookup table. You can select the exact database connection or you can use the $Source or $Target variable. If you use one of these variables, the lookup table must reside in the source or target database you specify when you configure the session. If you select the exact database connection, you can also specify what type of database connection it is.

Source Type


Indicates that the Lookup transformation reads values from a relational database or a flat file.

Tracing Level


Sets the amount of detail included in the session log when you run a session containing this transformation.

Datetime Format

Flat File

If you do not define a datetime format for a particular field in the lookup definition or on the Ports tab, the Integration Service uses the properties defined here. You can enter any datetime format. The default is MM/DD/YYYY HH24:MI:SS.


133

Option

Lookup Type

Description

Thousand Separator

Flat File

If you do not define a thousand separator for a particular field in the lookup definition or on the Ports tab, the Integration Service uses the properties defined here. You can choose no separator, a comma, or a period. The default is no separator.

Decimal Separator

Flat File

If you do not define a decimal separator for a particular field in the lookup definition or on the Ports tab, the Integration Service uses the properties defined here. You can choose a comma or a period decimal separator. The default is period.

Case-Sensitive String Comparison

Flat File

If selected, the Integration Service uses case-sensitive string comparisons when performing lookups on string columns. Note: For relational lookups, the case-sensitive comparison is based on the database .

Null Ordering

Flat File

Determines how the Integration Service orders null values. You can choose to sort null values high or low. By default, the Integration Service sorts null values high. Note: For relational lookups, null ordering is based on the database .

Sorted Input

Flat File

Indicates whether or not the lookup file data is sorted.

Business Purpose A business may bring data from various sources but additional data from local sources may be need such as product codes, dates, names, etc.

Example In the following example an insurance company pays commissions on each new policy; however there may be a possibility by clerical error duplicate policies may be submitted. The goal is to check submitted policies against current list and reject the policies which are duplicates. A policy number is ed to a connected Lookup transformation is used to check the current policy table for the pre-existence of a policy. If the policy number exists the matching policy number is returned, if the policy number does not exist a “null” value is returned. The return is used as the “Group Filter Condition” in the Router transformation. The Router filter condition is “ISNULL (POLICY_NO1)” and is based on the return value from the Lookup transformation “POLICY_NO” port NOT the value from the Source Qualifier. Rows from the source which have no match (null return) in the lookup table will make the filter condition and to the new (POLICY_NEW) target. All other rows go to the Router Default group and are ed to the reject (ROLICIES_REJ) target.

Performance Considerations All rows through a connected Lookup so there may be performance degradation in executing additional Lookups when there are not needed. Caching a very large table may require a large amount of memory.

Lesson 6-2. Reusable Transformations You can create a reusable transformation in:

134

♦

Transformation Developer

♦

Mapping Designer and then ‘promote.’ Unit 6: Lookups and Reusable Transformations Informatica PowerCenter 8 Level I Developer

Reusable transformations are listed in the Transformations node of the Navigator. Drag and drop them in any mapping to make a shortcut and then override the properties as needed.

Key Points ♦

You can also copy them as non-reusable by depressing the Ctrl key while dragging.

♦

You can edit ports only in the Transformation Developer.

♦

Instances dynamically inherit changes.

♦

Source Qualifier transformations cannot be reusable.

♦

Changing reusable transformations can invalidate mappings


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136


Unit 6 Lab A: Load Employee Staging Table Business Purpose Information about Mersche Motors employees is saved to three text files each day. We must read each of these files individually and load them to the staging area. The files do not contain employee salary information, so we must find each employee's salary. We also must reformat some of the other fields.

Technical Description We have three text files coming in daily with employee information that we would like to put into a file list. We need to find a salary for each employee, concatenate first name and last name, change the format of age and phone number and add a load date.

Objectives ♦

Reusable Expression

♦

Lookup to Flat File

Duration 45 Minutes

Unit 6 Lab A: Load Employee Staging Table Informatica PowerCenter 8 Level I Developer

137


m_STG_EMPLOYEES_xx

Source System

Flat file

Target System

Oracle table

Initial Rows

109

Rows/Load

109

Short Description

File list will be read, source data will be reformatted, a load date will be added and salary information for each employee will be added.

Load Frequency

Daily

Preprocessing

Target Append


Default



File Location

Fixed/Delimited


employees_central.txt, employees_east.txt, employees_west.txt Definition in employees_layout.txt

C:\pmfiles\SrcFiles

Delimited

These 3 comma delimited flat files will be read into the session using a filelist employees_list.txt. The layout of the flat files can be found in employees_layout.txt.

employees_list.txt

C:\pmfiles\SrcFiles

File list

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

STG_EMPLOYEES

Insert

Unique Key

X

LOOKUPS Lookup Name

lkp_salary

Table

salaries.txt

Match Condition(s)

EMPLOYEE_ID = IN_EMPLOYEE_ID

Location

C:\pmfiles\LkpFiles

Filter/SQL Override

138



Lookup Source Target Expression

PROCESSING DESCRIPTION (DETAIL) The mapping will read from three flat files contained in a file list. For each employee id, we will find the corresponding salary. First name and last name will be concatenated. Age and phone number will be reformatted before loading into the STG_EMPLOYEES Oracle table.


139

140


EMPLOYEE_EMAIL

EMPLOYEE_GENDER

AGE_GROUP

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

REGIONAL_MANAGER

EMPLOYEE_FAX_NMBR

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_PHONE_NMBR

STG_EMPLOYEES

POSITION_TYPE

EMPLOYEE_COUNTRY

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_ZIP_CODE

STG_EMPLOYEES

TER_LANG_DESC

EMPLOYEE_STATE

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_CITY

STG_EMPLOYEES

SEC_LANG_DESC

EMPLOYEE_ADDRESS

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_NAME

STG_EMPLOYEES

NATIVE_LANG_DESC

EMPLOYEE_ID

STG_EMPLOYEES

STG_EMPLOYEES

Target Column

Target Table

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

number(p,s)

varchar2

varchar2

varchar2

varchar2

number(p,s)

Data type


employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

Source File

REGIONAL_MANAGER

POSITION_TYPE

THIRD_LANGUAGE

SECOND_LANGUAGE

NATIVE_LANGUAGE

Derived

Derived

EMAIL

FAX_NUMBER

Derived

COUNTRY

ZIP_CODE

STATE

CITY

ADDRESS

Derived

EMPLOYEE_ID

Source Column

The CUST_AGE_GROUP is derived from the decoding of AGE column. The valid age groups are less than 20, 20 to 29, 30 to 39, 40 to 49, 50 to 60 and Greater than 60

GENDER is currently either M or F. It needs to be Male, Female or UNK

The PHONE_NUMBER column is in the format of 9999999999 and needs to be reformatted to (999) 999-9999.

Concatenate First Name and Last Name

Expression



141

Target Column

DEALERSHIP_ID

DEALERSHIP_MANAGER

EMPLOYEE_SALARY

HIRE_DATE

DATE_ENTERED

Target Table

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

date

date

number(p,s)

varchar2

number(p,s)

Data type

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

Source File

DATE_ENTERED

HIRE_DATE

Derived

DEALERSHIP_MANAGER

DEALERSHIP_ID

Source Column

A Salary field for each Employee ID can be found in salaries.txt.

Expression



Launch the Designer client tool (if it is not already running) and to the PC8_DEV repository.

2.

Import employees_layout.txt comma delimited flat file into your student folder. Make sure that you import the field names from the first line.

3.

Save the repository. Your source definition should look the same as displayed in Figure 6-1. Figure 6-1. Source Analyzer view of the employees_layout flat file definition


In the Target Designer, import the STG_EMPLOYEES table.

2.

Save the repository. Your target definition should look the same as Figure 6-2. Figure 6-2. Target Designer view of the STG_EMPLOYEES relational table definition

Step 3: Step Three: Create a Reusable Transformation Velocity Best Practice: A Velocity Design best practice is to use as many reusable transformations as possible. This decreases development time and keeps the mappings consistent. 1.

142

Open the mapping m_Stage_Customer_s_xx. Unit 6 Lab A: Load Employee Staging Table Informatica PowerCenter 8 Level I Developer

2.

Edit exp_Format_Name_Gender_Phone and check the Make reusable box on the Transformation tab. Figure 6-3. Transformation edit dialog box showing how to make a transformation reusable

3.

Click Yes when you see the popup box. Figure 6-4. Question box letting you know the action is irreversible

Tip: Converting a transformation to reusable is nonreversible. The Transformation will now be

saved in the Transformations node within the Navigator window and will be available as a standalone object to drag into any mapping as a shortcut. Figure 6-5. Transformation edit dialog box of a reusable transformation

4.

Review the Transformation dialog box. What differences do you now see?

5.

Select the Ports tab. Can you change anything here? Why are you unable to make changes?

6.

Open the Transformation Developer by clicking the respective icon in the toolbar. .


143

7.

From the Navigator Window, locate the Transformations node in your respective student folder. Figure 6-6. Navigator window depicting the Transformations node

8.

Drag exp_Format_Name_Gender_Phone into the Transformation Developer workspace.

9.

Edit exp_Format_Name_Gender_Phone and add the prefix re_ to rename it to re_exp_Format_Name_Gender_Phone_Load_Date. Velocity Best Practice: It is a Velocity recommendation that reusable transformations use the prefix

re. Shortcuts should have the prefix sc (or SC if you prefer). 10.

11.

Select the Ports tab. a.

Change the name of the OUT_CUST_NAME port to OUT_NAME.

b.

Change the name of the OUT_CUST_PHONE port to OUT_PHONE.

c.

Click OK.



Open the Mapping Designer by clicking the respective icon in the toolbar.

2.

Create a new mapping named m_STG_EMPLOYEES_xx.

3.

Add employees_layout.txt flat file source to the new mapping.

4.

Add STG_EMPLOYEES relational target to the new mapping. Your mapping should appear similar to Figure 6-7. Figure 6-7. Partial mapping with source and target

144


Step 5: Create a Lookup Transformation 1.

Select the Lookup transformation tool bar button located on the Transformations tool bar with a single left click. The selected icon in Figure 6-8 identifies the Lookup tool button. T Figure 6-8. Transformation Toolbar

2.

Move your mouse pointer into the Mapping Designer Workspace and single click your left mouse button. This will create a new Lookup Transformation.

3.

Choose Import > From Flat File for the location of the Lookup Table. Figure 6-9. Lookup Transformation table location dialog box

4.

Locate the c:\pmfiles\LkpFiles directory and select the file salaries.txt. If the file is located in a different directory, your instructor will specify.

5.

The Flat File Import Wizard will appear. Confirm that the Delimited option button is selected.

6.

Select the Import field names from first line check box. Your Wizard should appear similar to Figure 6-10. Figure 6-10. Dialog box 1 of the 3 step Flat File Import Wizard

7.

Click Next.


145

8.

Confirm that only the Comma check box under Delimiters is selected.

9.

Select the No quotes option button under Text Qualifier.

10.

Click Next.

11.

Confirm that the field names are displayed under Column Information. These were imported from the first line of the file.

12.

Click Finish.

13.

Confirm that your Lookup Transformation appears as displayed in Figure 6-11. Figure 6-11. Normal view of the newly created Lookup Transformation

14.

Drag and drop EMPLOYEE_ID from SQ_employees_layout to the new Lookup Transformation.

15.

Edit the Lookup Transformation. Rename it to lkp_salaries. Velocity Best Practice: Velocity naming conventions specify to name Lookup transformations lkp_LOOKUP_TABLE_NAME.

16.

Click on the Ports tab. Rename EMPLOYEE_ID1 to IN_EMPLOYEE_ID. Velocity Best Practice: It is a Velocity best to Prefix all input ports to an Expression or Lookup with

IN_.

146

17.

Uncheck the output port for IN_EMPLOYEE_ID.

18.

Select the Condition tab.

19.

Select the Add a new condition button. PowerCenter will choose the first lookup port and the first input port automatically.


Your condition should look similar to Figure 6-12. Figure 6-12. Lookup Transformation condition box

20.

Click OK.

21.


Step 6: Add a Reusable Expression Transformation In the Navigator Window, under Transformations node, click and drag re_exp_Format_Name_Gender_Phone_Load_Date into the Mapping Designer Workspace.

Step 7: Link Transformations 1.

Link the following ports from SQ_employees_layout to the STG_EMPLOYEES target: EMPLOYEE_ID

JEMPLOYEE_ID

ADDRESS

JEMPLOYEE_ADDRESS

CITY

JEMPLOYEE_CITY

STATE

JEMPLOYEE_STATE

ZIP_CODE

JEMPLOYEE_ZIP_CODE

COUNTRY

JEMPLOYEE_COUNTRY

FAX_NUMBER

JEMPLOYEE_FAX_NMBR

EMAIL

JEMPLOYEE_EMAIL

NATIVE_LANGUAGE

JNATIVE_LANG_DESC

SECOND_LANGUAGE

JSEC_LANG_DESC

THIRD_LANGUAGE

JTER_LANG_DESC

POSITION_TYPE

JPOSITION_TYPE

DEALERSHIP_ID

JDEALERSHIP_ID

REGIONAL_MANAGER

JREGIONAL_MANAGER

DEALERSHIP_MANAGER

JDEALERSHIP_MANAGER

HIRE_DATE

JHIRE_DATE

DATE_ENTERED

JDATE_ENTERED

2.


3.

Link the Following ports from lkp_SALARY to STG_EMPLOYEES: SALARY

JEMPLOYEE_SALARY


147

4.

5.

6.

Link the following ports from SQ_employees_layout to re_exp_Format_Name_Gender_Phone_Load_Date: FIRSTNAME

JIN_FIRSTNAME

LASTNAME

JIN_LASTNAME

PHONE_NUMBER

JIN_PHONE_NUMBER

GENDER

JIN_GENDER

AGE

JAGE

Link the following ports from re_exp_Format_Name_Gender_Phone_Load_Date to STG_EMPLOYEES: OUT_NAME

JEMPLOYEE_NAME

OUT_PHONE

JEMPLOYEE_PHONE_NMBR

OUT_GENDER

JEMPLOYEE_GENDER

OUT_AGE_GROUP

JAGE_GROUP



Launch the Workflow Manager client and sign into your assigned folder.

2.

Open the Workflow Designer tool and create a new workflow named wkf_STG_EMPLOYEES_xx.

3.

Create a session task using the session task tool button.

4.

Select m_STG_EMPLOYEES_xx from the Mapping list box and click OK.

5.

Link the Start object to the s_m_STG_EMPLOYEES_xx session task object.

6.

Edit the s_m_STG_EMPLOYEES_xx session.

7.

Under the Mapping tab: ♦ ♦ ♦

Confirm that Source file directory is set to $PMSourceFileDir\. In Properties | Attribute | Source filename type in employees_list.txt. In Properties | Attribute | Source filetype click the drop-down arrow and change the default from Direct to Indirect. Your Mapping | Source | Properties | Attributes should be the same as Figure 6-13. Figure 6-13. Source properties for the employee_list file list

♦ ♦ ♦

148

Select STG_EMPLOYEES located under the Target folder in the navigator window. Set the relational target connection object property to NATIVE_STGxx where xx is your student number. Check the property Truncate target table option in the target properties. Unit 6 Lab A: Load Employee Staging Table Informatica PowerCenter 8 Level I Developer

♦ ♦ ♦

Select lkp_salaries from the Transformations folder in the navigator window. the Lookup source file directory is $PMLookupFileDir\. Type salaries.txt in the Lookup filename.

8.


9.

Check Validate messages to ensure your workflow is valid.

10.

Start the workflow.

11.

Review the Task Details Figure 6-14. Task Details of the completed session run

12.

Review the Source/Target Statistics. Figure 6-15. Source/Target Statistics of the completed session run


149

13.

Use Preview Data feature in the Designer to view the data results. Figure 6-16. Data Preview of the STG_EMPLOYEES target table

Note: not all rows and columns are shown.

150



151

152


Unit 6 Lab B: Load Date Staging Table Business Purpose The date staging area in the operational data store must be loaded with one record for each date covered in the data marts. Each date must be described with the date attributes used in the data mart, such as the month name, quarter number, whether the date is a weekday or a weekend, and so forth.

Technical Description To load the date staging area, we will use Informatica date functions and variables to transform a date value and date id. The raw dates are in a flat file.

Objectives ♦

Copy an Expression transformation to convert a string date to various descriptive date columns.

♦

Use the Expression Editor to create or view expressions and become familiar with date function syntax.

♦

Understand the evaluation sequence of input, output, and variable ports.

♦

Learn how to use variable ports.

Duration 30 minutes

Unit 6 Lab B: Load Date Staging Table Informatica PowerCenter 8 Level I Developer

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m_STG_DATES_xx

Source System

Flat file

Target System

Oracle table

Initial Rows

4019

Rows/Load

4019

Short Description

A text file will run through an expression to do date manipulation and load to our date staging area.

Load Frequency

Once

Preprocessing

Target append


Default



File Location

Fixed/Delimited


dates.txt

C:\pmfiles\SrcFiles

Delimited

Comma delimiter

TARGETS Tables

Schema Owner

Table Name

Update

Delete

STG_DATES

Insert

Unique Key

X


Source

154

Expression

Target



155

Target Column

DATE_ID_LEGACY

DATE_VALUE

DAY_OF_MONTH

MONTH_NUMBER

YEAR_VALUE

DAY_OF_WEEK

DAY_NAME

MONTH_NAME

DAY_OF_YEAR

MONTH_OF_YEAR

WEEK_OF_YEAR

DAY_OVERALL

WEEK_OVERALL

MONTH_OVERALL

YEAR_OVERALL

HOLIDAY_INDICATOR

WORKDAY_INDICATOR

WEEKDAY_INDICATOR

WEEKEND_INDICATOR

QUARTER_OF_YEAR

Target Table

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

Source File

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

derived

Derived

DATE_ID

Source Column


The quarter number of the year.

This flag will tell us whether the record date is a weekend.

This flag will tell us whether the record date is a weekday.

This flag will tell us whether the record date is a workday.

This flag will tell us whether the record date is a holiday.

The year number overall.

The month number overall.

The week number overall.

The day number overall.

The week number of the year for the record.

The month number of the year for the record.

The day number of the year for the record. EX - 1-365

The month name for the record.

The name of the day for the record.

The day of the week for the record.

The year for each record.

The month number of the year.

The current day of the current month. EX - TUESDAY

Reformat the DATE column to MM/DD/YYYY

Expression


Data Issues/ Quality

This mapping will generate the date staging table from the dates text file. The Expression transformation is used to derive the different date values.

PROCESSING DESCRIPTION (DETAIL)

156


Target Column

SEASON

LAST_DAY_IN_MONTH

LAST_DAY_IN_QUARTER

LAST_DAY_IN_YEAR

Target Table

STG_DATES

STG_DATES

STG_DATES

STG_DATES

dates.txt

dates.txt

dates.txt

dates.txt

Source File

derived

derived

derived

derived

Source Column

Flag to indicate the current date is the last day of the year.

Flag to indicate the current date is last day of the quarter.

Flag to indicate the current date is last day of the month.

The current season.

Expression


Data Issues/ Quality


Launch the Designer (if it is not already running) and connect to the PC8_DEV repository.

2.


3.

Import the dates.txt comma delimited flat file source using the Flat File Wizard. Make sure that you import the field names from the first line.

4.



Import the STG_DATES table using the Target Designer.

2.



Create a new mapping named m_STG_DATES_xx.

2.

Add dates flat file source to the mapping.

3.

Add the STG_DATES target to the mapping. Your mapping should appear similar to Figure 6-17. Figure 6-17. Mapping with Source and Target definitions

4.

Expand the DEV_SHARED folder.

5.

Expand the Transformations subfolder. a.

select the re_exp_STG_DATES.

b.

With your left mouse button, drag the transformation toward your mapping but DO NOT DROP IT.

c.

Hold down the Ctrl key.

d.

Drop the transformation into the mapping.

e.

Click “Yes” on the Copy Confirmation message box. Note: If the confirmation box says “Shortcut” instead of “Copy”, try again and make sure that you

hold down the Ctrl key continuously as you drop the transformation into the mapping.


157

6.

Link the two output ports on the Source Qualifier to the two input ports on the Expression transformation, matching the names.

7.

Use the “Autolink” feature to link the output ports in the Expression transformation to the corresponding fields in the target definition - by Position.

8.

Save the mapping and confirm it is valid. Your mapping will appear the same as in Figure 6-18. Figure 6-18. Completed Mapping

9.

Edit the Expression transformation and click on the Ports tab.

10.

Examine the structure of the Expression transformation ports and expressions. Note that the DATE_ID is an integer that is ed directly to the target table unchanged. The input port DATE supplies a string that describes an individual date, such as 'May 20, 2005'. The variable ports will process that string in various ways in order to extract a specific descriptor, such as the day of the week, the quarter, the month, whether the date is a holiday, etc. These descriptors will later be used in the data warehouse to group and filter report data.

11.

Examine some of the variable port expressions and see if you can determine how they work. You can use PowerCenter Help to view the syntax for any function. If you wish, ask your instructor for clarification on any of the expressions. Note that variable ports cannot be output ports, so a separate set of output ports is used at the bottom of the transformation in order to output the data to the target. Most of these output ports simply call a variable port. Variable ports were used in this transformation because they will be resolved one at a time, top to bottom. In this case, some of the later expressions are dependent on the results of the earlier expressions.

Tip: Informatica evaluates ports in the following order: input/output (input only as well), variable, and then output. Variables are evaluated in top down order, so it is important to put them in a specific order.

158


Step 4: Create a Workflow and a Session Task 1.

Launch the Workflow Manager application (if it's not already running) and connect to the PC8_DEV repository.

2.


3.

Create a new workflow named wkf_Load_STG_DATES_xx.

4.

Create a session named s_m_STG_DATES_xx that uses the m_STG_DATES_xx mapping,

5.

Edit the session you just created. a.


b.

Select the Source Qualifier icon SQ_dates.

c.

In the Properties area scroll down and confirm the source file name and location. Ensure that the Source Filename property value includes the .txt extension.

d.

Select the target STG_DATES.

e.

Select your appropriate target connection object.

f.

Select the option “Truncate target table”.

6.

Complete the workflow by linking the Start task to the session task.

7.



Start the workflow.

2.

Maximize the Workflow Monitor and select the Task View.

3.

Review the Task Details. Your information should appear the same as in Figure 6-19. Figure 6-19. Task Details of the completed session run


159

4.

Review the Source/Target Statistics. Figure 6-20. Source/Target Statistics for the session run

160


Data Results Use the Preview Data feature in the Designer to view the data results. Your results should appear similar to those in Figure 6-21 through Figure 6-22. Figure 6-21. Data preview of the STG_DATES table - screen 1

Figure 6-22. Data preview of the STG_DATES table - screen 2 scrolled right


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Unit 7: Debugger In this unit you will learn about: ♦

Debugging mappings

Lesson 7-1. Debugging Mappings The Debugger is a wizard-driven Designer tool that runs a test session.

Integration Service must be running before starting a Debug Session. 1.

Start the Debugger. A spinning Debugger Mode icon is displayed - stops when the Integration Service is ready.

2.

Choose an existing session or define a one-time debug session. Options: ♦ ♦

3.

Monitor the Debugger: ♦ ♦ ♦

4.

Load or discard target data Save debug environment for later use Output window - view Debug or Session log. Transformation Instance Data window - view transformation data. Target Instance window - view target data.

Move through the session - menu options include: ♦ ♦ ♦

Next Instance. Runs until it reaches the next transformation or satisfies a breakpoint condition. Step to Instance. Runs until it reaches the selected transformation instance or satisfies a breakpoint condition. Show current instance. Displays the current instance in the Transformation Instance window.

Unit 7: Debugger Informatica PowerCenter 8 Level I Developer

163

♦ ♦

5.

Modify data and breakpoints. When the Debugger pauses, you can modify: ♦ ♦ ♦

164

Continue. Runs until it satisfies a breakpoint condition. Break now. Pauses wherever it is currently processing. Change data Change variable values Add or change breakpoints



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Unit 7 Lab: Using the Debugger Business Purpose The m_STG_DATES_DEBUG mapping contains at least one error that results in bad data loaded into the target table. This error must be found and corrected so the data warehouse project will be successful.

Technical Description The Debugger will be used to track down the cause of the error or errors.

Objectives ♦

Use the Debug Wizard.

♦

Use the Debug Toolbar.

Duration 30 minutes

Unit 7 Lab: Using the Debugger Informatica PowerCenter 8 Level I Developer

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m_STG_DATES_DEBUG

Source System

Flat file

Target System

Oracle table

Initial Rows

4019

Rows/Load

4019

Short Description

A text file is run through an Expression transformation to do date manipulation and load our date staging area.

Load Frequency

Once

Preprocessing

Target append


Default


Sources Files File Name

File Location

Fixed/Delimited


dates.txt

C:\pmfiles\SrcFiles

Delimited

Comma delimiter

Targets Tables

Schema Owner

Table Name

Update

Delete

STG_DATES_VIEW

Insert

Unique Key

X

High Level Process Overview

Source

Expression

Target

Processing Description (Detail) This mapping will generate the date staging table from the dates text file.

168



169

Target Column DATE_ID_LEGACY DATE_VALUE DAY_OF_MONTH MONTH_NUMBER MONTH_NAME YEAR_VALUE

Target Table

STG_DATES_VIEW

STG_DATES_VIEW

STG_DATES_VIEW

STG_DATES_VIEW

STG_DATES_VIEW

STG_DATES_VIEW

Source To Target Field Matrix

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

dates.txt

Source File

derived

derived

derived

derived

derived

DATE_ID

Source Column

Year for each record

Name of the month

Month number of the year

Current day of current month

Reformat to MM/DD/YYYY

Expression


Instructions Step 1: Copy and Inspect the Debug Mapping 1.

Expand the DEV_SHARED folder. a.

Locate the mapping m_STG_DATES_DEBUG and copy it to your folder.

b.

If a source or target conflict occurs choose Reuse.

2.

Save the Repository.

3.

Open the mapping in your workspace. a.

Get an overall idea what kind of processing is being done.

b.

Read each of the expressions in the Expression transformation. Note that the mapping is a simplified version of the one used in Unit 6 Lab B.

You have been told only that there is an “error” in the data being written to the target, without any further clarification as to the nature of the error. Tip: Many mapping errors can be found by carefully inspecting the mapping - without using the Debugger. However, if the error cannot be located in a timely fashion in this manner, the Debugger will assist you by showing the actual data ing through the transformation ports. In order to properly use the Debugger, you must first understand the logic of the mapping.

Step 2: Step Through the Debug Wizard 1.

Press your F9 key. This evokes the Debug Wizard. The first page of the Debug Wizard is informational. Please read it.

Tip: The Debugger requires a valid mapping and session to run; it cannot help you determine why a

mapping is invalid. The Designer Output Window will show you the reason(s) why a mapping is invalid. 2.

170

Press the Next button.


Your Wizard should appear similar to Figure 7-1 below. Accept the default setting - Create a debug session instance for this mapping, and press the Next button. Figure 7-1. Debug Session creation dialog box

The next page of the Wizard allows you to set connectivity properties. This information is familiar to you from creating sessions, except that here it is a subset of the regular session options and is formatted somewhat differently. 3.

Set the Target Connection Value to your target schema database connection object. The debugger data will be discarded in a later step so this value will be ignored.

4.

Select the Properties tab at the bottom. Your Wizard should appear as in Figure 7-2 below. Figure 7-2. Debug Session connections dialog box

♦ ♦

Ensure that the Source Filename property values includes the .txt extension. In this lab, you enter dates.txt. Ensure that the Target load type property value is set to Normal


171

5.

Press the Next button.

6.

We will not be overriding transformation properties, so press Next again.

7.

Accept the defaults on the Session Configuration Wizard page and press Next.

8.

The final Wizard page allows us to choose whether or not to discard the target data (the default) and choose which target data to view. Accept the defaults here as well.

9.

When you press the Finish button, a Debug session will be created and it will initialize, opening the required database connections. No data will be read until we are ready to view it.

Step 3: Use the Debugger to Locate the Error When the Debug Wizard Finish button is pressed, the appearance of the Designer interface will change, and it will likely require some minor adjustment to make it more readable. Note that three window panes are visible at the bottom third of the screen. Adjust the horizontal dividers with your mouse until what you see resembles Figure 7-3. 1.

Set the Target Instance and Instance drop-boxes as shown in Figure 7-3 as well. Note: The term instance is sometimes used as a synonym for transformation. Figure 7-3. Designer while running a Debug Session

As mentioned earlier, the Debug session is initialized at this point but no data is read. We will manually control the debugger so we can easily review the data values and spot the error. The debugger can be controlled via the Designer menu, via hotkeys (described in the menu), or with the Debug Toolbar. We will use the toolbar.

172


2.

The Debug Toolbar is not visible by default. To make it visible, select the menu option Tools > Customize. You will see the dialog box shown in Figure 7-4. Figure 7-4. Customize Toolbars Dialog Box

3.

Select the Debugger toolbar.

4.

Click OK. The Debug Toolbar is short. When it is undocked, it appears as in Figure 7-5. If you cannot see it right away, look for the red “stop sign” on the right. Figure 7-5. Debugger Toolbar

Tip: if you cannot find the Debugger Toolbar after using the menu option to select it, another toolbar has shifted it off the screen. Re-arrange the other docked toolbars until you can see it. 5.

You can cause one row of data to be read by the Source Qualifier by pressing the third toolbar button - tooltip Next Instance. Note that some data is shown in the Instance window.

6.

Toggle the Instance drop-box to the Expression transformation. The data has not yet gone that far. Note: No data available means null in the Debugger.

7.

Press the fourth toolbar button - tooltip “Step to Instance.” Note that one more row has been read, and the first row has been “pushed” into the Expression transformation and the Target table.

8.

Press the Next Instance toolbar button (third) several times. Note that each time it is pressed, one more row is read and one more row (the row that was read from the previous press) is loaded into the target. The Instance window jumps between the Source Qualifier and the Expression (i.e., it follows the row).


173

9.

Press the Step to Instance toolbar button (fourth) several times. Note that it also causes one row to be read and written, but the Instance window shows only the data in one transformation - the one chosen in the drop-box.

10.

Examine the data being sent to the target. What is the error? Hint: compare the values with the actual date being read from the source file.

Now that you are familiar with the basics of operating the Debugger, locate the cause of the error.

Step 4: Fix the Error and Confirm the Data is Correct When you have found the error, you will not be able to fix it while the Debugger is running (try it). The mapping properties are grayed-out because there is an “in-use” lock on the mapping.

174

1.

Stop the Debugger by pressing the second toolbar button. Press Yes.

2.

Fix the mapping error.

3.

Save the Repository.

4.

Re-start the Debug Wizard as in Step 2. Note that your Debug session properties (such as connectivity) have been saved locally, making it easier for you to evoke the Debugger again if needed.

5.

Confirm that the data being sent to the target is now correct.



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Unit 8: Sequence Generator In this unit you will learn about: ♦

Sequence Generator Transformation

Lesson 8-1. Sequence Generator Transformation

Type ive.

Description The Sequence Generator Transformation generates unique numeric values that can be used to create keys. The values created by the sequence generator are sequential but not guaranteed to be contiguous. The Sequence Generator is an “output” only transformation with two outputs represented by the “ NEXTVAL” and “CURRVAL” ports. Typically connect the “NEXTVAL” port to generate a new key. When connected to multiple targets the output of the Sequence Generator generates sequential values for each target. To use the same value for each target, the output of the Sequence Generator to an Expression transformation before connecting it to a target.

Unit 8: Sequence Generator Informatica PowerCenter 8 Level I Developer

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178


Properties Property

Description

Start Value

The start value of the generated sequence that you want the Integration Service to use if you use the Cycle option. If you select Cycle, the Integration Service cycles back to this value when it reaches the end value.

Increment By

The value you want the sequence generator to increment by.

End Value

The maximum value the Integration Service generates.

Current Value

The current value of the sequence.

Cycle

If selected, the Integration Service cycles through the sequence range.

Number of Cached Values

The number of sequential values the Integration Service caches at a time.

Reset

If selected, the Integration Service generates values based on the original current value for each session.

Tracing Level

Level of detail about the transformation that the Integration Service writes into the session log.

For more details, see the online help.

Business Purpose A business receives customer information which is used to update a data warehouse customer dimension table with a customer history. A sequence generator is used to create surrogate keys to maintain referential integrity within the dimension table since a customer may have duplicate entries.

Example The following example shows a partial mapping where the sequence generator is used to generate a new key for the Dates dimension table.

Performance Considerations It is best to configure the Sequence Generator transformation as close to the target as possible in a mapping otherwise a mapping will be carrying extra sequence numbers through the transformation process which will not be transformed.


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Unit 8 Lab: Load Date Dimension Table Business Purpose The Mersche Motors data warehouse has a date dimension table that needs to be loaded. The date dimension needs to be loaded before any of the other dimension tables.

Technical Description PowerCenter will extract the dates from a shared relational table and load them into a shared relational table. All columns in the source table have matching columns in the target table. A primary key for the target table will be assigned using the Sequence Generator transformation.

Objectives ♦

Create sources and targets based on shortcuts

♦

Create a Sequence Generator transformation

♦

Create unique integer primary key values using the NEXTVAL port

Duration 20 Minutes

Unit 8 Lab: Load Date Dimension Table Informatica PowerCenter 8 Level I Developer

181


m_DIM_DATES_LOAD_xx

Source System

Oracle Table

Target System

Oracle Table

Initial Rows

4019

Rows/Load

4019

Short Description

Source relational table will be directly loaded into a relational target. The primary key for the target table will be assigned by a sequence generator.

Load Frequency

Once


Default



Schema/Owner

STG_DATES

TDBUxx

Selection/Filter

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

DIM_DATES

Insert

Unique Key

X

DATE_KEY

HIGH LEVEL PROCESS OVERVIEW Sequence Generator

Relational Source

Relational Target

PROCESSING DESCRIPTION (DETAIL) The Sequence Generator transformation will be used to assign unique integer values for the DATE_KEY field as rows are ed from the STG_DATES table to the DIM_DATES table.

182



183

Target Column

DATE_KEY

DATE_VALUE

DATE_ID_LEGACY

DATE_OF_MONTH

MONTH_NUMBER

YEAR_VALUE

DAY_OF_WEEK

DAY_NAME

MONTH_NAME

DAY_OF_YEAR

MONTH_OF_YEAR

WEEK_OF_YEAR

DAY_OVERALL

WEEK_OVERALL

MONTH_OVERALL

YEAR_OVERALL

HOLIDAY_INDICATOR

WORKDAY_INDICATOR

WEEKDAY_INDICATOR

WEEKEND_INDICATOR

QUARTER_OF_YEAR

SEASON

LAST_DAY_IN_MONTH

Target Table

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

DIM_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

STG_DATES

Source File


LAST_DAY_IN_MONTH

SEASON

QUARTER_OF_YEAR

WEEKEND_INDICATOR

WEEKDAY_INDICATOR

WORKDAY_INDICATOR

HOLIDAY_INDICATOR

YEAR_OVERALL

MONTH_OVERALL

WEEK_OVERALL

DAY_OVERALL

WEEK_OF_YEAR

MONTH_OF_YEAR

DAY_OF_YEAR

MONTH_NAME

DAY_NAME

DAY_OF_WEEK

YEAR_VALUE

MONTH_NUMBER

DATE_OF_MONTH

DATE_ID_LEGACY

DATE_VALUE

derived

Source Column NEXTVAL from Sequence Generator

Expression


184


Target Column

LAST_DAY_IN_QUARTER

LAST_DAY_IN_YEAR

Target Table

DIM_DATES

DIM_DATES

STG_DATES

STG_DATES

Source File

LAST_DAY_IN_YEAR

LAST_DAY_IN_QUARTER

Source Column

Expression


Instructions Step 1: Create a Shortcut to a Shared Relational Source Table 1.

Expand the DEV_SHARED folder and locate the source definition STG_DATES in the ODBC_STG node. Notice that this STG_DATES object is a source, while the STG_DATES that you have already used is a target.

2.

Ensure that your student folder is open.

3.

Drag and drop the STG_DATES source definition from the DEV_SHARED folder into the Source Analyzer.

4.

Click Yes to confirm the shortcut.

5.

Rename the shortcut SC_STG_DATES.

You should now see the SC_STG_DATES shortcut in your own student folder. Velocity Best Practice: The SC_ prefix is the Velocity Best Practice naming convention for shortcut

objects. 6.

Save your work.

Step 2: Create a Shortcut to a Shared Relational Target Table 1.

In the DEV_SHARED folder, located the target DIM_DATES.

2.

Drag and drop DIM_DATES into the Target Designer.

3.

Click Yes to confirm the shortcut.

4.

Rename the shortcut SC_DIM_DATES.

5.

Save your work.

You will now be able to see the SC_DIM_DATES shortcut in your own student folder.


Create a new mapping named m_DIM_DATES_LOAD_xx.

2.

Add the SC_STG_DATES relational source to the new mapping.

3.

Add the SC_DIM_DATES relational target to the new mapping.

4.

Expand the mapping objects.


185

Your mapping should appear similar to Figure 8-1. Figure 8-1. Expanded view of m-DIM_DATES_LOAD

Step 4: Create a Sequence Generator Transformation 1.

From the Transformation toolbar, select the Sequence Generator transformation icon. Figure 8-2. Sequence Generator Transformation icon

2.

Position the Sequence Generator transformation before the target. Tip: You can create approximately two billion primary or foreign key values with the Sequence

Generator transformation by connecting the NEXTVAL port to the desired transformation or target and using the widest range of values (1 to 2147483647) with the smallest interval (1). 3.

From the Sequence Generator transformation select the NEXTVAL port and link it to the DATE_KEY column of the SC_DIM_DATES target. Figure 8-3. Normal view of the sequence generator NEXTVAL port connected to a target column

4.

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Rename the sequence generator seq_DIM_DATES_DATE_KEY. Unit 8 Lab: Load Date Dimension Table Informatica PowerCenter 8 Level I Developer

5.

Select the Properties tab and observe the properties available in the sequence generator. a.

Check the Reset Transformation Attribute Value.

b.

Describe the following properties. Use the Help system to find the answers.

♦

Increment by:________________________________________________ Current value:________________________________________________

♦

6.

Click the OK button to return to the Normal view of the sequence generator.

7.

Save your work.

Step 5: Link the Target Table 1.

Link all the ports from the Source Qualifier transformation to the corresponding columns in the target object using Autolink by name. See Figure 8-4. Figure 8-4. Normal view of connected ports to the target

2.

Save your work.

3.

your mapping is valid in the Output window. If the mapping is not valid, correct the invalidations that are displayed in the message.


Launch the Workflow Manager (if not already running) and connect to the repository and open your student folder.

2.

From Workflow Designer create a new workflow named wkf_DIM_DATES_LOAD_xx.

3.

Use the Session task icon and create a new Session task.

4.

Associate the m_DIM_DATES_LOAD_xx mapping to the new session task.

5.

Link the Start object to the s_m_DIM_DATES_LOAD_xx session task object.


187

6.

Edit the s_m_DIM_DATES_LOAD_xx session task and set the following options in the Mapping tab: ♦ ♦ ♦ ♦ ♦ ♦

Select SQ_SC_STG_DATES from the Sources folder in the navigator window. Set the Connections Value to your assigned NATIVE_STGxx connection value. Select SC_DIM_DATES from the Target folder in the navigator window. Set the Connections Value to your assigned NATIVE_EDWxx connection value. Set the Target Load type to Normal. Check the property Truncate target table option in the target properties.

7.

Save your work.

8.

Check Validate messages to ensure your workflow is valid. If you received an invalid message, correct the problem(s) and re-validate/save.

9.

Start the workflow.

10.

Review the Task Details. Your information should appear similar to Figure 8-5.

Figure 8-5. Task Details of the completed session run

11.

Select the Source/Target Statistics tab. Your statistics should be similar to Figure 8-6.

Figure 8-6. Source/Target statistics for the session run

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Data Results Preview the target data from the Designer. Your data should appear similar to Figure 8-7. Figure 8-7. Data Preview of the DIM_DATES table


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Unit 9: Lookup Caching, More Features and Techniques In this unit you will learn about: ♦

Lookup caching

♦

Using lookup caching in a mapping

The labs also illustrate more PowerCenter features and techniques.

Lesson 9-1. Lookup Caching Description The Lookup transformation allows you to cache the lookup table in memory. This is the default.

Properties This section will discuss the cache related properties. Dynamic cache will be discussed in a later module. Option

Lookup Type

Description

Lookup Caching Enabled


Indicates whether the Integration Service caches lookup values during the session.

Lookup Cache Directory Name


Specifies the directory used to build the lookup cache files when you configure the Lookup transformation to cache the lookup source. Also used to save the persistent lookup cache files when you select the Lookup Persistent option. By default, the Integration Service uses the $PMCacheDir directory configured for the Integration Service process.

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Option

Lookup Type

Description

Lookup Cache Persistent


Indicates whether the Integration Service uses a persistent lookup cache.

Lookup Data Cache Size


Indicates the maximum size the Integration Service allocates to the data cache in memory. When the Integration Service cannot store all the data cache data in memory, it pages to disk as necessary.

Lookup Index Cache Size


Indicates the maximum size the Integration Service allocates to the index cache in memory. When the Integration Service cannot store all the index cache data in memory, it pages to disk as necessary.

Cache File Name Prefix


Use only with persistent lookup cache. Specifies the file name prefix to use with persistent lookup cache files.

Recache From Lookup Source


Use only with the lookup cache enabled. When selected, the Integration Service rebuilds the lookup cache from the lookup source when it first calls the Lookup transformation instance. If you use a persistent lookup cache, it rebuilds the persistent cache files before using the cache. If you do not use a persistent lookup cache, it rebuilds the lookup cache in memory before using the cache.

For more detailed information refer to the online help.

Lookup Cache How it Works ♦ ♦ ♦ ♦ ♦ ♦

There are two types of cache memory, index and data cache. All port values from the lookup table where the port is part of the lookup condition are loaded into index cache. The index cache contains all port values from the lookup table where the port is specified in the lookup condition. The data cache contains all port values from the lookup table that are not in the lookup condition and that are specified as “output” ports. After the cache is loaded, values from the Lookup input port(s) that are part of the lookup condition are compared to the index cache. Upon a match the rows from the cache are included in the stream.

Key Point If there is not enough memory specified in the index and data cache properties, the overflow will be written out to disk.

Performance Considerations Lookup caching typically improves performance because the Integration Service need not execute an external read request to perform the lookup. However, this is true only if the time taken to load the lookup cache is less than the time that would be taken to perform the external read requests. To reduce the amount of cache required, turn off or delete any unused output ports in the Lookup transformation. You can also index the lookup file to speed the retrieval time. You can use where clauses in the SQL override to minimize the amount of data written to cache.

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Rule Of Thumb Cache if the number (and size) of records in the lookup table is small relative to the number of mapping rows requiring a lookup.


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Unit 9 Lab A: Load Promotions Dimension Table (Lookup and Persistent Cache) Business Purpose Mersche Motors runs a number of promotions that begin and end on certain dates. The promotions are stored in the promotions dimension table. This table stores the start and expiry dates as date keys that reference the date dimension table.

Technical Description The DIM_PROMOTIONS table requires start and expiration date keys. These exist in the DIM_DATES table that was populated in the previous lab. To obtain these date keys, which were created by the sequence generator, it will be necessary to perform a Lookup to the DIM_DATES table in the EDW database. The DIM_DATES table changes infrequently so it will be loaded into cache in a persistent state. The lookup cache will be used often by other Mappings that load Dimension tables.

Objectives Understand how to configure and use a persistent Lookup cache.

Duration 25 minutes

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m_DIM_PROMOTIONS_LOAD_xx

Source System

Oracle Table

Target System

Oracle Table

Initial Rows

6

Rows/Load

6

Short Description

Promotion data is run through the mapping and a lookup must be performed to the DIM_DATE table to acquire the date keys for the start date and expiration date in the DIM_PROMOTIONS table.

Load Frequency

To be determined

Preprocessing

DIM_DATES must be loaded


Default



Schema/Owner

Selection/Filter

STG_PROMOTIONS

TDBUxx

None

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

DIM_PROMOTIONS

Insert

Unique Key

X

PROMO_ID

LOOKUPS Lookup Name

lkp_START_DATE_KEY

Table

DIM_DATES

Match Condition(s)

DIM_DATES.DATE_VALUE = STG_PROMOTIONS.START_DATE

Location

EDW

Filter/SQL Override Lookup Name

lkp_EXPIRY_DATE_KEY

Table

DIM_DATES

Match Condition(s)

DIM_DATES.DATE_VALUE = STG_PROMOTIONS.EXPIRY_DATE

Location

EDW

Filter/SQL Override

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Lookup

Source

Target

Lookup

PROCESSING DESCRIPTION (DETAIL) This mapping will populate the DIM_PROMOTIONS table with data. In order to successfully populate the DIM_PROMOTIONS table there must be two Lookups to the DIM_DATES table to acquire values for the START_DK and EXPIRY_DK date keys. Students will need to determine which columns to use for the condition in the Lookup Transformation. Note: This lab requires the successful completion of the Unit 8 Lab.


Target Column

Source Table

Source Column

DIM_PROMOTIONS

PROMO_ID

STG_PROMOTIONS

PROMO_ID

DIM_PROMOTIONS

PROMO_DESC

STG_PROMOTIONS

PROMO_DESC

DIM_PROMOTIONS

PROMO_TYPE

STG_PROMOTIONS

PROMO_TYPE

DIM_PROMOTIONS

START_DK

DIM_DATES

DATE_KEY

DIM_PROMOTIONS

EXPIRY_DK

DIM_DATES

DATE_KEY

DIM_PROMOTIONS

PROMO_COST

STG_PROMOTIONS

PROMO_COST

DIM_PROMOTIONS

DISCOUNT

STG_PROMOTIONS

DISCOUNT


Expression


197

Instructions Step 1: Create a Shortcut to a Shared Relational Source Table 1.

In the Source Analyzer, create a short cut to the STG_PROMOTIONS source table from the DEV_SHARED > Sources > ODBC_STG folder.

2.

Rename the shortcut to SC_STG_PROMOTIONS.

3.

Save your work.

Step 2: Create a Shortcut to Shared Relational Target Table 1.

In the Target Designer, create a shortcut to the DIM_PROMOTIONS target table from the DEV_SHARED > Targets folder.

2.

Rename the shortcut to SC_DIM_PROMOTIONS. Note: If the SC_DIM_DATES target table is not displayed in the Target Designer drag it in from the Targets folder in your student folder. Notice the primary key-foreign key relationships.

3.

Save your work.


Create a new mapping named m_DIM_PROMOTIONS_LOAD_xx.

2.

Add the source definition shortcut SC_STG_PROMOTIONS to the mapping.

3.

Add the target definition shortcut SC_DIM_PROMOTIONS to the mapping.

4.

Arrange transformations appropriately and Autolink the ports “By Name” between: ♦

5.

SQ _SC_STG_PROMOTIONS and SC_DIM_PROMOTIONS.

Save your work. It should look like the mapping in Figure 9-1.

Step 4: Create Lookups for the Start and Expiry Date Keys 1.

Examine Figure 9-1. Figure 9-1. m_DIM_PROMOTIONS_LOAD mapping

2.

In Figure 9-1, compare START_DATE and EXPIRY_DATE in SQ_SC_STG_PROMOTIONS to START_DK AND EXPIRY_DK in the SC_DIM_PROMOTIONS Target table. Notice that these two ports are not connected and the datatypes are different. The target requires key values (number), not dates. In what table do these Date Key values exist? _________________________.

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3.

Examine Figure 9-2. Figure 9-2. m_DIM_DATES from the previous lab that populated the DIM_DATES table

The date dimension table (DIM_DATES) was populated by the previous lab, the DATE_KEY was generated by the seq_DIM_DATES_DATE_KEY Sequence Generator transformation and DATE_VALUE has a datatype of date/time. 4.

To acquire the value for the START_DK in the DIM_PROMOTIONS target you need to perform a Lookup on the DIM_DATES table. You will base the Lookup Condition on the ____________________ port from SQ_SC_STG_PROMOTIONS Source Qualifier and the ____________________ column in the DIM_DATES Lookup table.

5.

Similarly, to acquire the value for the EXPIRY_DK in the DIM_PROMOTIONS Target you will need a second Lookup on the DIM_DATES as well. You will base the Lookup Condition on the ____________________ port from SQ_SC_STG_PROMOTIONS Source Qualifier and the ____________________ column in the DIM_DATES Lookup table.

6.

Add a Lookup Transformation to the mapping based on the SC_DIM_DATES (shortcut to DIM_DATES) target table. Figure 9-3. Select Lookup Table


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7.

Rename the Lookup Transformation to lkp_START_DATE_KEY.

8.

Click OK.

9.

Click YES to the “Look up condition is empty”. You will define this shortly.

10.

Now Drag and Drop the START_DATE port from SQ_SC_STG_PROMOTIONS Source Qualifier to an empty port in the lkp_START_DATE_KEY transformation.

11.

Make START_DATE input only.

12.

Rename START_DATE to IN_START_DATE.

13.

Define the Lookup Condition to look like Figure 9-4: Figure 9-4. Lookup Condition

14.

On the Properties tab and the following values: ♦ ♦ ♦ ♦

Lookup Table Name = DIM_DATES (default). Lookup Caching Enabled = Checked (default). Lookup Cache Persistent = Checked (needs to be set). Cache File Name Prefix = LKPSTUxx (where xx is your student number).

15.

Link the DATE_KEY port from the lkp_START_DATE_KEY transformation to the START_DK port in the SC_DIM_PROMOTIONS target.

16.

Save your work. Note: Notice that this transformation has many ports. We could have unchecked to Output column on all except for the ones that we need but since this Lookup Transformation will be persistent it would have limited its functionality for other Mappings that might leverage it.

The lkp_START_DATE_KEY transformation will not retrieve values for EXPIRY_DK because the lookup conditions will be different. 17.

Create a second Lookup transformation called lkp_EXPIRY_DATE_KEY by selecting the lkp_START_DATE_KEY transformation and pressing Ctrl+C and Ctrl+V.

18.

Make the changes necessary to the Lookup to ensure that the EXPIRY_DATE finds the proper DATE_KEY.

19.

200

a.

Rename it to lkp_EXPIRY_DATE_KEY.

b.

Rename port IN_START_DATE to IN_EXPIRY_DATE.

c.

the Lookup Condition is correct.

Link the EXPIRY_DATE port from SQ_SC_STG_PROMOTIONS Source Qualifier to the IN_EXPIRY_DATE port in the lkp_EXPIRY_DATE_KEY transformation. Unit 9 Lab A: Load Promotions Dimension Table (Lookup and Persistent Cache) Informatica PowerCenter 8 Level I Developer

20.

Link the DATE_KEY port from the lkp_EXPIRY_DATE_KEY transformation to the EXPIRY_DK port in the SC_DIM_PROMOTIONS target.

21.

Save your work.

Figure 9-5. m_DIM_POROMOTIONS_LOAD completed mapping



2.

Create a new Workflow named wkf_DIM_PROMOTIONS_LOAD_xx.

3.

Create a new Session task using the mapping m_DIM_PROMOTIONS_LOAD_xx.

4.

Edit the s_m_DIM_PROMOTIONS_LOAD_xx session task.

5.

In the Mapping tab: a.

Select SQ_SC_STG_PROMOTIONS located under the Sources folder in the navigator window.

b.

Set the Connections > Type to your assigned NATIVE_STGxx connection object.

c.

Select SC_DIM_PROMOTIONS located under the Target folder in the navigator window.

d.

Set the Connections > Type to your assigned NATIVE_EDWxx connection object.

e.

Ensure that the Target load type is set to Normal.

6.

Complete the workflow by linking the Start and Session tasks and save your work.

7.

Run the workflow.

8.

Review the Task Details.


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Your information should appear similar to Figure 9-6. Figure 9-6. Task Details of the completed session run

9.

Select the Source/Target Statistics tab. Your statistics tab should appear as Figure 9-7.

Figure 9-7. Source/Target Statistics of the completed session run

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Data Results Preview the target data. The results should be similar as Figure 9-8. Note the values for START_DK and EXPIRY_DK. Figure 9-8. Data Preview of the DIM_PROMOTIONS target table

By setting the Lookup Cache Persistent property on the Lookup transformations, two files were created in the cache file directory defined for the Integration Service process. See Figure 9-9. Note that in this lab, these files are on the Integration Service process machine, not your local computer. Also note that the names correspond to the name you entered in the Cache File Name Prefix Lookup property. To view these files, you will need to map to the file system on the Integration Service process machine. that the files have a timestamp similar to when you ran the above workflow. Figure 9-9. Preview files created when Persistent Cache is set on Lookup Transformation


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Unit 9 Lab B: Features and Techniques II Business Purpose The management wants to increase the efficiency of the PowerCenter Developers.

Technical Description This lab will detail the use of 4 PowerCenter Designer features. Each of these features will increase the efficiency of any developer who knows how to use them appropriately. At the discretion of the instructor, this lab can also be completed as a demonstration.

Objectives ♦

Find Within Workspace

♦

View Object Dependencies

♦

Compare Objects

♦

Overview Window

Duration 15 minutes

Unit 9 Lab B: Features and Techniques II Informatica PowerCenter 8 Level I Developer

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Instructions Open a Mapping In the Designer tool, perform the following steps: 1.

Right-click the DEV_SHARED folder and select Open. This folder will be used in one of the features.

2.

Right-click your Studentxx folder and select Open.

3.

Drag the m_Stage_Customer_s_xx mapping into the Mapping Designer within your Studentxx folder.

Feature 1: Find in Workspace When using this feature you can perform a string search for the name of an object, table, column, or port for all the transformations in a mapping currently open in the Mapping Designer or workspace. This feature can also be used in the Source Analyzer, Target Designer, Mapplet Designer, and Transformation Developer.

1.

Select the Find in workspace toolbar icon

2.

Type the word “customer” in the Find What text box.

3.

Click Find Now.

.

Your results should appear as in Figure 9-10. Figure 9-10. Find in workspace dialog box

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Note: In the Find in workspace feature, the term “fields” can mean columns in sources or targets or ports in transformations. The term “table” can mean a source or target definition or a transformation. Velocity Best Practice: By using the Velocity Methodology object naming conventions (such as transformation type prefixes) it will be easier to locate the found objects in the workspace. For example, in Figure 9-10 we know that SQ_customer_layout is a Source Qualifier and fil_Customer_No_99999 is a filter.

Feature 2: View Object Dependencies By viewing object dependencies in the Designer a can learn which objects may be affected by making changes to source or target definitions, mappings, mapplets, or transformations (reusable or nonreusable). Direct and indirect dependencies are shown. Object dependencies can also be viewed from the Workflow Manager and the Repository Manager. The Repository Manager will show any of the ed dependencies between a wide range of objects within the repository. See the Repository Guide for a complete list. 1.

Select the flat-file source definition promotions in the Navigator window.

2.

Right-click and select Dependencies

You will see the Dependencies dialog box as shown in Figure 9-11. Figure 9-11. View Dependencies dialog box

3.

Click OK You will see the View Dependencies window, which will show detailed information about each of the dependencies found. Browse through this window, noting that some of the information relates to Team-Based Development (version control) properties like Version, Timestamp, and Version Comments. Note: By clicking the Save button on the toolbar, the dependencies can be saved as an .htm file for future reference.

4.

Experiment by viewing the dependencies of other objects.

Tip: Dependencies can also be viewed by right-clicking on an object directly in a workspace, such as a source definition in the Mapping Designer or the Source Analyzer.


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Feature 3: Compare Objects This feature allows you to compare all of the ports and properties of any two objects within a mapping or mapplet. 1.

Open the m_DIM_PROMOTIONS_LOAD_xx mapping.

2.

Right-click the Lookup transformation lkp_START_DATE_KEY and select Compare Objects.

3.

For the Instance 2 drop-box, select the Lookup transformation lkp_EXPIRY_DATE_KEY. This is the object we wish to compare with the Lookup transformation. Your screen should appear as Figure 912. Figure 9-12. Transformation compare objects dialog box

4.

208

Click Compare.


5.

Browse the tabs in the Transformations window that appears. Select the Properties tab, and what you see should be similar to Figure 9-13. Figure 9-13. Compare Transformation objects Properties details

Note: A great deal of comparative information is displayed in the tabs. All differences will appear in

red. Ports that are highlighted in yellow indicate a difference in the expression which may not be easily visible in this view. We will now learn how to compare objects that are in different folders. 6.

Open the target definition STG_DATES in the Target Designer.

7.

Right-click the target and select Compare Objects.


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8.

The Select Targets dialog box allows you to choose a comparison object in another folder. Click the Browse button for Target 2 and select the DIM_DATES table in the DEV_SHARED folder. Your screen should appear as Figure 9-14.

Figure 9-14. Target comparison dialog box

9.

Click Compare.

10.

Browse the information in the various tabs. Note that this method can quickly tell you the differences, if any, between two objects in two different folders. See Figure 9-15. Figure 9-15. Column differences between two target tables

Tip: In order to compare objects across folders, both folders must be open.

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Feature 4: Overview Window The Overview window is useful when a large mapping is “zoomed in” on your screen so you can work on the individual transformations, but the zoom level makes it difficult to scroll into a different section of the mapping because you cannot see where you are scrolling to. The Overview window has been described as a “bird’s eye view” of the mapping, enabling you to see your position relative to the entire structure. 1.

In the Mapping Designer, set the zoom level to 100-percent.

2.

Click the Toggle Overview Window toolbar button.

3.

The Overview window will appear in the upper-right hand corner of your screen. Use your left mouse button to drag the dotted rectangle to a different location within the mapping. If you were searching for a target or a source in a large and complex mapping, this feature would make it faster to locate.

Tip: Selected mapping objects appear red in the Overview window.


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Unit 10: Sorter, Aggregator and Self- In this unit you will learn about: ♦

Sorter transformations

♦

Aggregator transformations

♦

Active and ive transformations

♦

Data concatenations

♦

Self-s

Lesson 10-1. Sorter Transformation

Type Active.

Description The Sorter transformation sorts the incoming data based on one or more key values - the sort order can be ascending, descending or mixed. The Sorter transformation attribute, “ Distinct” provides a facility to remove duplicates from the input rows.

Unit 10: Sorter, Aggregator and Self- Informatica PowerCenter 8 Level I Developer

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Properties

214

Option

Description

Sorter Cache Size

The Integration Service uses the Sorter Cache Size property to determine the maximum amount of memory it can allocate to perform the sort operation. The Integration Service es all incoming data into the Sorter transformation before it performs the sort operation. You can specify any amount between 1 MB and 4 GB for the Sorter cache size.

Case Sensitive

The Case Sensitive property determines whether the Integration Service considers case when sorting data. When you enable the Case Sensitive property, the Integration Service sorts uppercase characters higher than lowercase characters.

Work Directory

The directory that the Integration Service uses to create temporary files while it sorts data. After the Integration Service sorts the data, it deletes the temporary files.

Distinct

You can configure the Sorter transformation to treat output rows as distinct. If you configure the Sorter transformation for distinct output rows, the Mapping Designer configures all ports as part of the sort key.

Tracing Level

Sets the amount of detail included in the session log when you run a session containing this transformation.

Null Treated Low

Enable this property if you want the Integration Service to treat null values as lower than any other value when it performs the sort operation.

Transformation Scope

Specifies how the Integration Service applies the transformation logic to incoming data: - Transaction. Applies the transformation logic to all rows in a transaction. Choose Transaction when a row of data depends on all rows in the same transaction, but does not depend on rows in other transactions. - All Input. Applies the transformation logic on all incoming data. When you choose All Input, the PowerCenter drops incoming transaction boundaries. Choose All Input when a row of data depends on all rows in the source.


Business Purpose A business may aggregate data on records received from relational sources (Databases) or flat files with related records in random order. Sorting the records prior to ing them on to an Aggregator transformation may improve the overall performance of the aggregation task.

Example In the following example Gross Profit and Profit Margin are calculated for each item sold. To improve performance of this session a Sorter transformation is added prior to the Aggregator transformation. The Aggregator “Sorted Input” property must be checked to notify the Aggregator to expect input in sort order.

Sorter Cache How It Works ♦

If the cache size specified in the properties exceeds the available amount of memory on the Integration Service process machine then the Integration Service fails the session.

♦

All of the incoming data is ed into cache memory before the sort operation is performed.

♦

If the amount of incoming data is greater than the cache size specified then the PowerCenter will temporarily store the data in the Sorter transformation work directory.

Key Points The Integration Service requires disk space of at least twice the amount of incoming data when storing data in the work directory.

Performance Considerations Using a Sorter transformation may improve performance over and “Order By” clause in a SQL override in aggregate session when the source is a database because the source database may not be tuned with the buffer sizes needed for a database sort.


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Lesson 10-2. Aggregator Transformation

Type Active.

Description The Aggregator transformation calculates aggregates such as sums, minimum or maximum values across multiple groups of rows. The Aggregator transformation can apply expressions to its ports however those expressions will be applied to a group of rows unlike the Expression transformation which applies calculations on a row-by-row basis only. Aggregate functions are created in output ports only. Function grouping requirements are set using the Aggregator GroupBy port.

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Properties

Option

Description

Cache Directory

Local directory where the Integration Service creates the index and data cache files.

Tracing Level

Amount of detail displayed in the session log for this transformation.

Sorted Input

Indicates input data is presorted by groups. Select this option only if the mapping es sorted data to the Aggregator transformation.

Aggregator Data Cache Size

Data cache size for the transformation. Default cache size is set to Auto.

Aggregator Index Cache Size

Index cache size for the transformation. Default cache size is set to Auto

Transformation Scope

Specifies how the Integration Service applies the transformation logic to incoming data: - Transaction. Applies the transformation logic to all rows in a transaction. Choose Transaction when a row of data depends on all rows in the same transaction, but does not depend on rows in other transactions. - All Input. Applies the transformation logic on all incoming data. When you choose All Input, the PowerCenter drops incoming transaction boundaries. Choose All Input when a row of data depends on all rows in the source.


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Business Purpose A business may want to calculate gross profit or profit margins based on items sold or summarize weekly, monthly or quarterly sales activity.

Example The following example calculates a value for units sold ( OUT_UNITS_SOLD) and revenue (OUT_REVENUE) and cost (OUT_COST) for each promotion id by date.

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Aggregator Cache How It Works ♦

There are two types of cache memory, index and data cache.

♦

All rows are loaded into cache before any aggregation takes place.

♦

The index cache contains group by port values.

♦

The data cache contains all port values variable and connected output ports. ♦

♦

Non group by input ports used in non-aggregate output expression. ♦ Non group by input/output ports. ♦ Local variable ports. ♦ Port containing aggregate function (multiply by three). One output row will be returned for each unique occurrence of the group by ports.

Key Points ♦

If there is not enough memory specified in the index and data cache properties, the overflow will be written out to disk.

♦

No rows are returned until all of the rows have been aggregated.

♦

Checking the sorted input attribute will by caching.

♦

You enable automatic memory settings by configuring a value for the Maximum Memory Allowed for Auto Memory Attributes or the Maximum Percentage of Total Memory Allowed for Auto Memory Attributes. If the value is set to zero for either of these attributes, the Integration Service disables automatic memory settings and uses default values.


219

Performance Considerations Aggregator performance can be increased when you sort the input data in the same order as the Aggregator Group By ports prior to doing the Aggregation. The Aggregator sorted input property would need to be checked. Relational source data can be sorted using an “order by” clause in the Source Qualifier override. Flat file source data can be sorted using an external sort application or the Sorter transformation. Cache size is also important in assuring optimal performance in the Aggregator. Make sure that your cache size settings are large enough to accommodate all of the data. If they are not the system will cache out to disk causing a slow down in performance.

Lesson 10-3. Active and ive Transformations

ive transformations operate on one row at a time AND preserve the number of rows. Examples: Expression, Lookup, Sequence Generator. Active transformations operate on groups of rows AND/OR change the number of rows. Examples: Source Qualifier, Filter, er, Aggregator.

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Lesson 10-4. Data Concatenation

Data concatenation brings together different pieces of the same record (row). Data concatenation works only if combining branches of the same source pipeline. For example, one branch has a customer ID and the other branch has the customer name. But if either branch contains an active transformation, the correspondence between the branches no longer exists.


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Lesson 10-5. Self-

Description The er transformation combines fields from two data sources into a single combined data source based on one or more common fields also know as the condition. However when values to be combined are located within the same pipeline a self provides a solution. The two pipelines being ed need to be sorted in the same order.

Business Purpose A business may have to extract data from a single employee master table with employee data such as names, title, salary and reporting department and create a new table showing only those employees whose salary is greater than the average salary for the department.

Example The following example creates a new table with only those employees whose salary is greater than the average salary for the department that they work in.

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Key Points ♦

The inputs to the er from the single source must separate into two data streams.

♦

For self-s between two branches of the same pipeline. ♦

♦

Must add a transformation between the Source Qualifier and the er in at least one branch of the pipeline. ♦ Data must be pre-sorted by the key. ♦ Configure the er to accept sorted input. For self-s between records from the same source. Create two instances of the source and the pipelines from each source.

Performance Considerations There is a performance benefit in a self since it requires both the master and detailed side to be sorted.


223

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Unit 10 Lab: Reload the Employee Staging Table Business Purpose Mersche Motors employee data has been loaded into the STG_EMPLOYEES table but after validating the data it was determined that data was missing. Although the lookup to the salaries.txt file and Workflow were successful the developer noticed that there is no data in the DEALERSHIP_MANAGER column of the target table. By leveraging the previous mapping that initially loaded the Employee data, the developer must put the Dealership Manager's full name in the DEALERSHIP_MANAGER column.

Technical Description We will copy the m_STG_EMPLOYEES_xx mapping created in a previous lab and modify it to derive the Manager Name and load it into the DEALERSHIP_MANAGER column of the STG_EMPLOYEES table. To do this we will have to split the data into two streams. One stream will have all employee records and the other will have only manager records that will need to be ed back together using the manager records as the master. On the Manager stream we will filter on the POSITION_TYPE column for MANAGER records and relate them back to the SALESREP records using the DEALERSHIP_ID. This is necessary because there is only one Manager per dealership. We will also need to maintain the Lookup with respect to the salaries.txt file to ensure that salary data is still populated.

Objectives ♦

Leverage an existing Mapping to solve a data integrity issue

♦

Split the data stream and use a self- to bring it back together

♦

Copy and modify an existing reusable Expression transformation

Duration 70 Minutes

Unit 10 Lab: Reload the Employee Staging Table Informatica PowerCenter 8 Level I Developer

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m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD_xx

Source System

Flat File

Target System

Oracle Table

Initial Rows

109

Rows/Load

109

Short Description

File list will be read, source data will be reformatted and salary information for each employee will be added. Determine the names of the Managers and populate the DEALERSHIP_MANAGER column.

Load Frequency

Daily

Preprocessing

Target Append


Default


DEALERSHIP_ID, EMPLOYEE_ID


File Location

Fixed/Delimited


employees_central.txt, employees_east.txt, employees_west.txt Definition in employees_layout.txt

C:\pmfiles\SrcFiles

Delimited

These 3 comma delimited flat files will be read into the session using a filelist employees_list.txt. The layout of the flat files can be found in employees_layout.txt.

employees_list.txt

C:\pmfiles\SrcFiles

File list

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

STG_EMPLOYEES

Insert

Unique Key

X

LOOKUPS Lookup Name

lkp_salary

Table

salaries.txt

Match Condition(s)

EMPLOYEE_ID = IN_EMPLOYEE_ID

Location

C:\pmfiles\LkpFiles

Filter/SQL Override

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HIGH LEVEL PROCESS OVERVIEW Lookup

Source

Expression

Sorter

er

Filter

Aggregator

Target

PROCESSING DESCRIPTION (DETAIL) The mapping will read from three flat files contained in a file list. A reusable Expression transformation, however, needs to be copied and modified to receive the employee id from the source. Additionally, the data will be sorted by Dealership id and then the data stream will be split. The master data flow (bottom) will group by DEALERSHIP_ID in the Aggregator. This will allow only 1 row of output from the Aggregator for each unique set of group by ports. The two data flows will be concatenated with a self- based on dealership id thereby enabling the mapping to retrieve the dealership manager for each record. A lookup to a salary text file will retrieve the salary information for each employee. The data will then be loaded into the STG_EMPLOYEES table.


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228


EMPLOYEE_EMAIL

EMPLOYEE_GENDER

AGE_GROUP

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

REGIONAL_MANAGER

EMPLOYEE_FAX_NMBR

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_PHONE_NMBR

STG_EMPLOYEES

POSITION_TYPE

EMPLOYEE_COUNTRY

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_ZIP_CODE

STG_EMPLOYEES

TER_LANG_DESC

EMPLOYEE_STATE

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_CITY

STG_EMPLOYEES

SEC_LANG_DESC

EMPLOYEE_ADDRESS

STG_EMPLOYEES

STG_EMPLOYEES

EMPLOYEE_NAME

STG_EMPLOYEES

NATIVE_LANG_DESC

EMPLOYEE_ID

STG_EMPLOYEES

STG_EMPLOYEES

Target Column

Target Table

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

varchar2

number(p,s)

varchar2

varchar2

varchar2

varchar2

number(p,s)

Data type


employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

Source File

REGIONAL_MANAGER

POSITION_TYPE

THIRD_LANGUAGE

SECOND_LANGUAGE

NATIVE_LANGUAGE

Derived

Derived

EMAIL

FAX_NUMBER

Derived

COUNTRY

ZIP_CODE

STATE

CITY

ADDRESS

Derived

EMPLOYEE_ID

Source Column

The CUST_AGE_GROUP is derived from the decoding of AGE column. The valid age groups are less than 20, 20 to 29, 30 to 39, 40 to 49, 50 to 60 and Greater than 60

GENDER is currently either M or F. It needs to be Male, Female or UNK

The PHONE_NUMBER column is in the format of 9999999999 and needs to be reformatted to (999) 999-9999.

Concatenate First Name and Last Name

Expression



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Target Column

DEALERSHIP_ID

DEALERSHIP_MANAGER

EMPLOYEE_SALARY

HIRE_DATE

DATE_ENTERED

Target Table

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

date

date

number(p,s)

varchar2

number(p,s)

Data type

employees_layout

employees_layout

employees_layout

employees_layout

employees_layout

Source File

DATE_ENTERED

HIRE_DATE

Derived

DEALERSHIP_MANAGER

DEALERSHIP_ID

Source Column

A Salary field for each Employee ID can be found in salaries.txt.

Concatenated FIRSTNAME and LASTNAME of the manager. The employee records are split apart and then ed back together based on DEALERSHIP_ID

Expression


Instructions Step 1: Copy an Existing Mapping 1.

Launch the Designer and sign into your assigned folder.

2.

Locate the mapping m_STG_EMPLOYEES_xx in the Navigator window.

3.

Copy it and rename it m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD_xx.

4.

Open m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD_xx in the Mapping Designer to make it the current mapping for editing.

5.

Save your work. Figure 10-1. m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD mapping

Step 2: Examine Source Data to Determine a Key for Self- Figure 10-2 shows the employees_central.txt file. Some columns are not in view or hidden. Figure 10-2. Employee_central.txt

Which of these columns can we use to determine Manager records? Answer: ________________________ Which of these columns can we use for a self- condition to obtain the Dealership Manager name for the employee records? Answer: ________________________

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Step 3: Prepare the New Mapping for Modification Many of the links will need to be removed in order to build the self-. 1.

Right-click and select Arrange all and expand the Source Qualifier, Lookup and Target large enough to view all the ports and links.

2.

Remove all the links to the lkp_salaries transformation and all of the links to the STG_EMPLOYEES target.

3.

Rename the re_exp_Format_Name_Gender_Phone_Load_Date reusable transformation to exp_Format_Name_Gender_Phone_Load_Date_Mgr (notice the name change but the reusable transformation name that this expression is an instance of stays the same) Figure 10-3. Renaming an instance of a Reusable Transformation

4.

Save your work and notice that the mapping is now invalid. Your mapping should look similar to Figure 10-4 if you Arrange all Iconic. Figure 10-4. m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD after most links removed

Step 4: Create a Sorter Transformation 1.

Add a Sorter transformation to the mapping and name it srt_EMPLOYEES_DEALERSHIP_ID_DESC. Figure 10-5. Sorter Transformation Icon on Toolbar

2.

Select the following ports from SQ_employees_layout and drag them into the Sorter Transformation: ♦ ♦

DEALERSHIP_ID EMPLOYEE_ID


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♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦

ADDRESS CITY STATE ZIP_CODE COUNTRY FAX_NUMBER EMAIL NATIVE_LANGUAGE SECOND_LANGUAGE THIRD_LANGUAGE POSITION_TYPE REGIONAL_MANAGER HIRE_DATE DATE_ENTERED

3.

Select all the output ports from the exp_FORMAT_NAME_GENDER_PHONE_LOAD_DATE_MGR transformation and drag them into the srt_EMPLOYEES_DEALERSHIP_ID_DESC transformation.

4.

Edit the Sorter transformation. a.

On the DEALERSHIP_ID port check the checkbox in the 'Key' column to define the sort column.

b.

Rename the following ports:

♦

OUT_NAME to EMPLOYEE_NAME OUT_PHONE to EMPLOYEE_PHONE OUT_GENDER to EMPLOYEE_GENDER OUT_AGE_GROUP to AGE_GROUP

♦ ♦ ♦

5.

Save your work.

Step 5: Create a Filter Transformation The source file contains sales representatives and managers. This stream of the mapping will only contain managers. 1.

Create a Filter transformation named fil_MANAGERS.

2.

Link the following ports from srt_EMPLOYEES_DEALERSHIP_ID_DESC transformation to the fil_MANAGERS transformation: ♦ ♦ ♦

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DEALERSHIP_ID EMPLOYEE_NAME POSITION_TYPE

3.

Set the filter condition to only allow 'MANAGER' position types.

4.

Save your work.


Step 6: Create an Aggregator Transformation The filtered source data may contain multiple entries for a manager. The Aggregator transformation can be used to eliminate duplicate manager records. 1.

Create an Aggregator transformation named agg_MANAGERS. Figure 10-6. Aggregator Transformation Icon on Toolbar

2.

Link the following ports from fil_MANAGERS transformation to the agg_MANAGERS transformation: ♦ ♦

3.

Edit the Aggregator. ♦ ♦

4.

DEALERSHIP_ID EMPLOYEE_NAME On the DEALERSHIP_ID port, check the checkbox in the 'Group By' column. Under the Properties tab, check the 'Sorted Input' checkbox.

Save your work. Tip: By making the DEALERSHIP_ID the group by port the Aggregator will return one row for each unique DEALERSHIP_ID. This will remove the duplicate manager rows.

The mapping depicting the Sorter to Filter to Aggregator flow should be the same as Figure 10-7. Figure 10-7. Partial mapping flow depicting the flow from the Sorter to the Filter to the Aggregator

Step 7: Create a er Transformation for the Self- 1.

Create a er transformation and name it jnr_MANAGERS_EMPLOYEES.

2.

On the Properties tab set Sorted Input property to “checked.”

3.

Click OK on the Edit Transformations dialogue and the click Yes on the “ Condition is empty…” dialogue. The condition will be set shortly.


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4.

Link all ports from the agg_MANAGERS transformation into the jnr_MANAGERS_EMPLOYEES er transformation.

5.

Link all ports from the srt_EMPLOYEES_DEALERSHIP_ID_DESC transformation to the jnr_MANAGERS_EMPLOYEES transformation.

6.

Edit the jnr_MANAGERS_EMPLOYEES transformation: a.

Rename the two ports linked from the Aggregator transformation as follows:

♦ ♦

DEALERSHIP_ID to MANAGER_DEALERSHIP_ID EMPLOYEE_NAME to MANAGER_NAME

b.

Ensure that both ports have checks under the “M” column defining them as the Master record.

c.

Rename the following ports linked from the Sorter transformation:

♦ ♦

DEALERSHIP_ID1 to EMPLOYEE_DEALERSHIP_ID EMPLOYEE_NAME1 to EMPLOYEE_NAME (remove the '1')

d.

Add the following condition: MANAGER_DEALERSHIP_ID = EMPLOYEE_DEALERSHIP_ID

7.

Save your work.

Review Figure 10-8 to your work. Figure 10-8. Split data stream ed back together

Step 8: Get Salaries from the Lookup 1.

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Link the EMPLOYEE_ID port from the jnr_MANAGERS_EMPLOYEES transformation to the IN_EMPLOYEE_ID port in the lkp_salaries Lookup transformation.


Step 9: Connect the er and Lookup to the Target 1.

Link the following ports between jnr_MANAGERS_EMPLOYEES to STG_EMPLOYEES target:

Tip: Hint: Some ports can be auto-linked by name; the rest must be done manually. MANAGER_NAME

--> DEALERSHIP_MANAGER

EMPLOYEE_DEALERSHIP_ID --> DEALERSHIP_ID EMPLOYEE_ID

--> EMPLOYEE_ID

EMPLOYEE_NAME

--> EMPLOYEE_NAME

ADDRESS

--> EMPLOYEE_ADDRESS

CITY

--> EMPLOYEE_CITY

STATE

--> EMPLOYEE_STATE

ZIP_CODE

--> EMPLOYEE_ZIP_CODE

COUNTRY

--> EMPLOYEE_COUNTRY

EMPLOYEE_PHONE

--> EMPLOYEE_PHONE_NUMBER

FAX_NUMBER

--> EMPLOYEE_FAX_NUMBER

EMAIL

--> EMPLOYEE_EMAIL

NATIVE_LANGUAGE

--> NATIVE_LANG_DESC

SECOND_LANGUAGE

--> SEC_LANG_DESC

THIRD_LANGUAGE

--> TER_LANG_DESC

POSITION_TYPE

--> POSITION_TYPE

REGIONAL_MANAGER

--> REGIONAL_MANAGER

HIRE_DATE

--> HIRE_DATE

EMPLOYEE_GENDER

--> EMPLOYEE_GENDER

AGE_GROUP

--> AGE_GROUP

DATE_ENTERED

--> DATE_ENTERED

2.

Link the SALARY port from the lkp_salaries transformation to the EMPLOYEE_SALARY port in the STG_EMPLOYEES target.


235

3.

Save your work.

Figure 10-9. Iconic view of the completed self- mapping.



2.

Create a new workflow named wkf_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD_xx

3.

Create a session task using the m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD_xx mapping.

4.

Link the Start task to the s_m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD_xx session task.

5.

Edit session s_m_STG_EMPLOYEES_DEALERSHIP_MGR_LOAD_xx. a.

In the Mapping tab, confirm that Source file directory is set to $PMSourceFileDir\.

b.

In Properties > Attribute > Source filename type in employees_list.txt and change Source filetype property from Direct to Indirect. The properties should look similar to Figure 10-10. Figure 10-10. Source properties for the employee_list.txt file list

c.

236

i.

Set the relational target connection object property to NATIVE_STGxx where xx is your student number.

ii.

Check the property Truncate target table option in the target properties. (this will need to be set because the data load from a previous lab needs to be replaced).

d.

Select lkp_salaries from the Transformations folder on the mapping tab and the following property values:

♦

Lookup source file directory = $PMLookupFileDir\. Lookup source filename = salaries.txt.

♦

6.

Select STG_EMPLOYEES located under the Target folder in the Mapping navigator.

Save your work. Unit 10 Lab: Reload the Employee Staging Table Informatica PowerCenter 8 Level I Developer

7.

Start the workflow.

8.

Review the Task Details.

Figure 10-11. Task Details of the completed session run

9.

Review the Source/Target Statistics.

Figure 10-12. Source/Target Statistics of the completed session run


237

Data Results Preview the target data from the Designer. Your data should appear the same as displayed in Figure 10-13 through Figure 10-14. Figure 10-13. Data preview of the self- of Managers and Employees in the STG_EMPLOYEES target table - screen 1

Figure 10-14. Data preview of the STG_EMPLOYEES target table - screen 2 scrolled right

Note: Not all rows and columns are shown.

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Unit 11: Router, Update Strategy and Overrides In this unit you will learn about: ♦

Router transformation

♦

Update Strategy transformation

♦

Source Qualifier override

♦

Target update override

♦

Session task mapping overrides

Lesson 11-1. Router Transformation

Type Active.

Description The Router transformation is similar to the Filter transformation because it es row data that meet the Router Group filter condition to the downstream transformation or target. The Router transformation has a single input group and one or more output groups with each output group representing a filter condition.

Unit 11: Router, Update Strategy and Overrides Informatica PowerCenter 8 Level I Developer

241

Business Purpose A business may receive records that are re-directed to specific targets, the records are “routed” to each target based on conditions of one or more record (row) fields.

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Example In the following example a business receives sales results based on responses to coupons featured in the local newspapers, magazines, and at their website. Each record is loaded into different target tables based on a promotion code.

In the example the “ DEFAULT” group routes rows that do not meet any of the group filters to an exception table. This would capture a record where a promo code (PROMO_ID) was incorrectly entered or a new code that has not been included in a filter group.

Performance Considerations When splitting row data based on field values a Router transformation has a performance advantage over multiple Filter transformations because a row is read once into the input group but evaluated multiple times based on the number of groups. Whereas using multiple Filter transformation requires the same row data to be duplicated for each Filter transformation.


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Lesson 11-2. Update Strategy Transformation

Type Active.

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Description The Update Strategy transformation “tags” a row with the appropriate DML (data manipulation language) for the PowerCenter writer to apply to a relational target. Each row can be “tagged” with one of the following flags (the DD label stands for Data Driven):

DD_INSERT - tags a row for insert to a target DD_UPDATE - tags a row for update to a target DD_DELETE - tags a row for delete to a target DD_REJECT - tags a row for reject Note: For the row tags DD_DELETE and DD_UPDATE, the table definition in a mapping must have

a key identified otherwise the session created from that mapping will fail. Rows tagged with DD_REJECT will be ed on to the next transformation or target and subsequently placed in the appropriate “bad file” if the “Forward Rejected Rows” attribute is “checked” (default). If the attribute is “un-checked” then reject rows will be skipped.

Business Purpose A business process may require more than a single DML action on a target table. A target table may require historical information dealing with previous entries. Rows written to a target table, based on one or more criteria, may have to be inserted, updated or deleted. The Update Strategy transformation can be applied to meet this requirement.

Example In the following example a business wants to maintain the “MASTER_CUSTOMER” table with current information. Using a set of Filter transformations along with previous mapping objects, two data paths


245

have been developed, one for inserts (DD_INSERT) with the addition of a sequence number for new records and one for updates (DD_UPDATE) to update existing records with new information.

Performance Considerations The Update Strategy transformation performance can vary depending on the number of updates and inserts. In some cases there may be a performance benefit to split a mapping with updates and inserts into two mappings and sessions, one mapping with inserts and the other with updates.

Lesson 11-3. Expression Default Values

246


Lesson 11-4. Source Qualifier Override


247

Properties

248

Property

Description

SQL Query

Allows you to override the default SQL query that PowerCenter creates at runtime.

Defined

Allows you to specify a defined .

Source Filter

Allows you to create a where clause that will be inserted into the SQL query that is generated at runtime. The “where” portion of the statement is not required. EG. Table1.ID = Table2.ID.

Number of Sorted Ports

PowerCenter will insert an order by clause in the generated SQL query. The order by will be on the number of ports specified, from the top down. EG. In the sq_Product_Product_Cost Source Qualifier, if the number of sorted ports = 2, the order by will be: ORDER BY PRODUCT.PRODUCT_ID, PRODUCT.GROUP_ID.

Tracing Level

Specifies the amount of detail written to the session log.

Select Distinct

Allows you to select distinct values only.

Pre SQL

Allows you to specify SQL that will be run prior to the pipeline being run. The SQL will be run using the connection specified in the session task.

Post SQL

Allows you to specify SQL that will be run after the pipeline has been run. The SQL will be run using the connection specified in the session task.

Output is Deterministic

Source or transformation output that does not change between session runs when the input data is consistent between runs. When you configure this property, the Integration Service does not stage source data for recovery if transformations in the pipeline always produce repeatable data.

Output is Repeatable

Source or transformation output that is in the same order between session runs when the order of the input data is consistent. When output is deterministic and output is repeatable, the Integration Service does not stage source data for recovery.


Lesson 11-5. Target Override

By default, target tables are updated based on key values. You can change this in target properties: 1.

Update Override

2.

Generate SQL

3.

Edit UPDATE WHERE clause with non-key items


249

Lesson 11-6. Session Task Mapping Overrides

You can override some mapping attributes in the Session task Mapping tab.

Examples ♦

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Source readers: Turn a relational source into a flat file Unit 11: Router, Update Strategy and Overrides Informatica PowerCenter 8 Level I Developer

♦

-defined : Modify a homogeneous in the Source Qualifier

♦

Source filters: Add a filter to the Source Qualifier

♦

Target writers: Turn a relational target into a flat file


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Unit 11 Lab: Load Employee Dimension Table Business Purpose The Mersche Motors data warehouse employee table is updated on a daily basis. Source rows from the staging area need to be tested to see if a row already exists in the dimension table. Rows need to be tagged for update or insert accordingly. Any rows containing bad data will need to be written to an error file.

Technical Description Rows from the STG_EMPLOYEES table need to be loaded into the DIM_EMPLOYEES table. Before loading the rows, EMPLOYEE_ID needs to be tested for NULL values. Invalid rows need to be written to an error file. Valid rows need to be tested to see if they exist already in DIM_EMPLOYEES and tagged for either INSERT or UPDATE accordingly. Finally, any rows sent to the DIM_EMPLOYEE table need to get valid dates from DIM_DATES.

Objectives ♦

Use of Update Strategy to tag rows for INSERT or UPDATE.

♦

Use of the Router transformation to conditionally route rows to different target instances.

♦

Source Qualifier Session property override.

♦

Using the Default Values option for NULL data replacement.

♦

Overriding Target writer option.

Duration 60 minutes

Unit 11 Lab: Load Employee Dimension Table Informatica PowerCenter 8 Level I Developer

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m_DIM_EMPLOYEES_LOAD_xx

Source System

Oracle Table

Target System

Oracle Table, Flat File

Initial Rows

88, 21

Rows/Load

85, 21, 3, 0

Short Description

Move data from staging table to the dimension target table with error rows written to a flat file. Lookups required for date entries and to target table to test existing rows.

Load Frequency

Daily

Preprocessing

Target Append/Update


Null employee_id rows written to error file


EMPLOYEE_ID


Schema/Owner

Selection/Filter

STG_EMPLOYEES

TDBUxx

SQ override for daily loads only

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

DIM_EMPLOYEES

X

Insert

Unique Key

X

EMPLOYEE_ID

Files File Name

File Location

Fixed/Delimited


dim_employees_err1.outt

C:\pmfiles\TgtFiles

Fixed

Based on DIM_EMPLOYEES definition

LOOKUPS Lookup Name

lkp_DIM_EMPLOYEES_EMPLOYEE_ID

Table

DIM_EMPLOYEES

Match Condition(s)

STG_EMPLOYEES.EMPLOYEE_ID = DIM_EMPLOYEES.EMPLOYEE_ID

Location

TDBUxx

Filter/SQL Override

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Lookup Name

lkp_DIM_DATES_INSERTS

Table

DIM_DATES

Match Condition(s)

STG_EMPLOYEES.DATE_ENTERED = DIM_DATES.DATE_VALUE

Filter/SQL Override

Reuse persistent cache from previous lab

Lookup Name

lkp_DIM_DATES_UPDATES

Table

DIM_DATES

Match Condition(s)

STG_EMPLOYEES.DATE_ENTERED = DIM_DATES.DATE_VALUE

Filter/SQL Override

Reuse persistent cache from previous lab

Location

Location

TDBUxx

TDBUxx

HIGH LEVEL PROCESS OVERVIEW Lookup

Update Strategy

Relational Source

Expression

Relational Target (Inserts)

Flat File Target (Errors)

Router Lookup

Lookup Update Strategy

Relational Target (Updates)

PROCESSING DESCRIPTION (DETAIL) The DIM_EMPLOYEE table needs to be loaded from the STG_EMPLOYEES table. The STG_EMPLOYEES has two days worth of data, 01/02/2003 and 01/03/2003. The second day contains corrections to some of the first day's data. The mapping needs to be executed twice and manual SQ override will be required for both runs. The DIM_EMPLOYEE and DIM_DATES tables will be used as Lookup tables. Any rows with a null value for employee_id need to be routed to an error file. Substitute the NULL employee_id with 99999 using the default value option.


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256


Target Column

EMPLOYEE_ID

EMPLOYEE_NAME

EMPLOYEE_ADDRESS

EMPLOYEE_CITY

EMPLOYEE_STATE

EMPLOYEE_ZIP_CODE

EMPLOYEE_COUNTRY

EMPLOYEE_PHONE_NMBR

EMPLOYEE_FAX_NMBR

EMPLOYEE_EMAIL

EMPLOYEE_GENDER

AGE_GROUP

NATIVE_LANG_DESC

SEC_LANG_DESC

TER_LANG_DESC

POSITION_TYPE

DEALERSHIP_ID

REGIONAL_MANAGER

DEALERSHIP_MANAGER

INSERT_DK

UPDATE_DK

Target Table

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_EMPLOYEES

DIM_DATES

DIM_DATES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

STG_EMPLOYEES

Source Table


DATE_KEY

DATE_KEY

DEALERSHIP_MANAGER

REGIONAL_MANAGER

DEALERSHIP_ID

POSITION_TYPE

TER_LANG_DESC

SEC_LANG_DESC

NATIVE_LANG_DESC

AGE_GROUP

EMPLOYEE_GENDER

EMPLOYEE_EMAIL

EMPLOYEE_FAX_NMBR

EMPLOYEE_PHONE_NMBR

EMPLOYEE_COUNTRY

EMPLOYEE_ZIP_CODE

EMPLOYEE_STATE

EMPLOYEE_CITY

EMPLOYEE_ADDRESS

EMPLOYEE_NAME

EMPLOYEE_ID

Source Column

Lookup to DIM_DATES table matching the date entered column from the STG_EMPLOYEES to the date value column in the DIM_DATES table

Lookup to DIM_DATES table matching the date entered column from the STG_EMPLOYEES to the date value column in the DIM_DATES table

Expression


Instructions Step 1: Copy the Mapping 1.

Launch the Designer and open your assigned folder.

2.

Copy the m_DIM_EMPLOYEES_LOAD partial mapping from the DEV_SHARED folder to your student folder and rename it to m_DIM_EMPLOYEES_LOAD_xx.

3.

Click Yes when the Target Dependencies dialog box comes up. Figure 11-1. Mapping copy Target Dependencies dialog box

4.

Save your work.

Step 2: Edit the Expression Transformation 1.

Open the mapping m_DIM_EMPLOYEES_LOAD_xx. Your mapping should appear similar to Figure 11-2. Figure 11-2. Iconic view of the m_DIM_EMPLOYEES_MAPPING

2.

Edit the exp_NULL_EMPLOYEE_ID Expression transformation and add a Default value of 99999 to the EMPLOYEE_ID port.

3.

Click the

button to validate the default entry and the click OK.


257

4.

Save your work.

Step 3: Create a Router Transformation The Router transformation is going to be used to determine which rows will be inserted, updated or sent to the error file. This will be done by checking the value of the EMPLOYEE_ID port. 1.

Add a Router transformation to the mapping.

2.

Drag both ports from lkp_DIM_EMPLOYEES_EMPLOYEE_ID into the Router.

3.

Drag all ports except EMPLOYEE_ID from exp_NULL_EMPLOYEE_ID to the Router.

4.

Edit the Router transformation. a.

Rename the Router to rtr_DIM_EMPLOYEES.

b.

In the Groups tab add 3 new groups using the Add new group icon: i.

Name the first group INSERTS.

ii.

Add the Group filter condition:

ISNULL(EMPLOYEE_ID) AND IN_EMPLOYEE_ID != 99999 iii.

Name the second group UPDATES.

iv.

Add the Group Filter Condition:

NOT ISNULL(EMPLOYEE_ID) AND IN_EMPLOYEE_ID != 99999 v.

Name the third group ERRORS.

vi.

Add the Group Filter Condition:

IN_EMPLOYEE_ID = 99999

Router should look similar to Figure 11-3. Figure 11-3. Router Groups

Step 4: Create an Update Strategy for INSERTS 1.

258

Add an Update Strategy transformation named upd_INSERTS to the mapping.


2.

In the Router, scroll down to the INSERTS Router group and drag all ports, except EMPLOYEE_ID1 and HIRE_DATE1, to the upd_INSERTS Update Strategy transformation.

3.

Edit the upd_INSERTS Update Strategy transformation: a.

Rename the IN_EMPLOYEE_ID1 port to EMPLOYEE_ID.

b.

In the Properties tab: i.

Select the Update Strategy Expression Value box. Delete the 0 and enter DD_INSERT. See Figure 11-4.

Figure 11-4. Update Strategy set to INSERT

Step 5: Create Lookup to DIM_DATES 1.

Create a Lookup transformation named lkp_DIM_DATES_INSERTS that references the SC_DIM_DATES target table.

2.

DATE_ENTERED1 from upd_INSERTS to lkp_DIM_DATES_INSERTS.

3.

Edit the lkp_DIM_DATES_INSERTS Lookup transformation: a.

Uncheck all the Output checkmarks on all the ports except for DATE_KEY.

b.

Rename the DATE_ENTERED1 port to IN_DATE_ENTERED.

c.

Create the condition DATE_VALUE = IN_DATE_ENTERED. Ensure that you use DATE_VALUE and not DATE_KEY.

d.

In the Properties tab set the following values:

♦

Lookup cache persistent = Checked (needs to be set) Cache File Name Prefix = LKPSTUxx (where xx is your student number)

♦


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Step 6: Link upd_INSERTS and lkp_DIM_DATES_INSERTS to Target DIM_EMPLOYEE_INSERTS 1.

Link the DATE_KEY port from lkp_DIM_DATES_INSERTS to the INSERT_DK column in the DIM_EMPLOYEES_INSERTS target.

2.

Right click anywhere in the workspace and select Autolink…

3.

Select upd_INSERTS from the From transformation drop box and DIM_EMPLOYEES_INSERTS from the To transformation box. Select the More button and enter a '1' for From Transformation Suffix.

4.

Click OK.

5.

Iconize the upd_INSERTS, lkp_DIM_DATES_INSERTS and DIM_EMPLOYEES_INSERTS transformations.

6.

Save your work.

Step 7: Create an Update Strategy for UPDATES 1.

Create an Update Strategy transformation named upd_UPDATES.

2.

In the Router, scroll down to the UPDATES Router group and drag all ports, except IN_EMPLOYEE_ID3 and HIRE_DATE3, to the upd_UPDATES Update Strategy transformation.

3.

Edit the upd_UPDATES Update Strategy transformation.

4.

In the Properties tab, select the Update Strategy Expression Value box. Delete the 0 and enter DD_UPDATE.

Step 8: Create Second Lookup to DIM_DATES 1.

Right click on the existing lkp_DIM_DATES_INSERTS Lookup transformation and select Copy.

2.

Move the cursor to the workspace, right click, and select Paste.

3.

Link DATE_ENTERED3 from upd_UPDATES to IN_DATE_ENTERED in the new Lookup transformation.

4.

Edit the new Lookup transformation: a.

Rename the new Lookup lkp_DIM_DATES_UPDATES.

b.

Ensure the Lookup condition is: DATE_VALUE = IN_DATE_ENTERED.

Step 9: Link upd_UPDATES and lkp_DIM_DATES_UPDATES to Target DIM_EMPLOYEE_UPDATES

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1.

From lkp_DIM_DATES_UPDATES, link DATE_KEY to UPDATE_DK in DIM_EMPLOYEES_UPDATES.

2.

Right click anywhere in the workspace and select Autolink.

3.

Select upd_UPDATES from the From transformation drop box and DIM_EMPLOYEES_UPDATES from the To transformation box. Select the More button and enter a '3' for From transformation Suffix.

4.

Click OK.


5.

Iconize the upd_UPDATES, lkp_DIM_DATES_UPDATES and DIM_EMPLOYEES_UPDATES transformations.

6.

Save your work.

Step 10: Link ERRORS Router Group to DIM_EMPLOYEES_ERR Using Autolink… 1.

Select the ERRORS group of rtr_DIM_EMPLOYEES from the From Transformation drop down box and DIM_EMPLOYEES_ERR from the To Transformation box. Select the More>> button and enter a '4' for From Transformation Suffix.

2.

Click OK.

3.

Delete the link for EMPLOYEE_ID4 and link instead IN_EMPLOYEE_ID4.

4.

Save your work and ensure the mapping is VALID.

5.

Arrange All Iconic and the mapping should look similar to Figure 11-5:

Figure 11-5. Iconic view of the completed mapping

Step 11: Create and Run the Workflow The first thing that we need to do is to run a pre-created workflow that loads three dimension tables. 1.


2.

Locate and run the wkf_U11_Preload_DIM_PAYMENT_DEALERSHIP_PRODUCT_xx workflow. Make sure that it completed successfully and that all rows were successful.

3.

Create a workflow named wkf_DIM_EMPLOYEES_LOAD_xx.

4.

Add a new Session task named s_m_DIM_EMPLOYEES_LOAD_xx, using the m_DIM_EMPLOYEES_LOAD_xx mapping.

5.

Link the Start task to the new Session task.


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6.

Edit the Session task Mapping tab: a.

b.

Select the

node in the navigation window.

i.

Change all DB Connection values that relate to the target tables (DIM) to NATIVE_EDWxx.

ii.

Change all DB Connection values that relate to the source tables (STG) to NATIVE_STGxx.

iii.

Change the $Target connection value to NATIVE_EDWxx as well. (This will take care of the three lookup tables pointing to $Target.)

In the Mapping tab navigator window: i.

Click on SQ_STG_EMPLOYEES.

ii.

Scroll down in the Properties section window to the Source Filter attribute.

iii.

Add the Source Filter condition: DATE_ENTERED = '01/02/2003'

Figure 11-6. Source Filter Value

Tip: It is sometimes easier to add a quick Source filter in the Session than to go back and modify the mapping, save it, refresh the session, save it, then run the workflow. SQL overrides will override any entries in the mapping until the override is deleted. Make sure if using 'shortcuts' the prefix to the table is deleted before saving the filter. c.

Click on the target DIM_EMPLOYEE_ERR. i.

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Under the Writers section: Change Relational Writer to File Writer. The error handling specifications want error rows written to a file, not a table.


ii.

In the Properties Attribute, rename the Output filename to include your student number. .

Figure 11-7. Writers section of Target schema

Tip: To create a flat file as a target instead of the original table, simply change the Writers type from Relational to File. A fixed width flat file based on the format of the target definition will be created automatically. The properties of this file can also be altered by the . 7.

Save your work and start the workflow.

8.

Review the Task Details and Source/Target statistics. They should be the same as displayed in Figure 11-8 and Figure 11-9. Figure 11-8. Task Details of the completed session run

Figure 11-9. Source/Target Statistics


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Data Results Preview the DIM_EMPLOYEES target data from the Designer, your data should appear similar as displayed in Figure 11-10. Figure 11-10. Data Results for DIM_EMPLOYEES

Scroll all the way to the right to confirm that the INSERT_DK column was updated and not the UPDATE_DK column. Also, you may want to review the three rows that were written to the error file. See the instructor for the location of the files. If the Integration Service process runs on UNIX, you may need special permission from your to see the files. Figure 11-11. Data Results for the Error Flat File (Located on the Machine Hosting the Integration Service Process

Step 12: Prepare, Run, and Monitor the Second Run

264

1.

Edit the s_m_DIM_EMPLOYEES_LOAD_xx session task.

2.

In the Mapping tab, click SQ_STG_EMPLOYEES in the Navigation window.

3.

Scroll down the Properties section and edit the Source filter to reflect day two loading: 01/03/2003.

4.

Save and run the workflow.

5.

Review the Task Details and Source/Target statistics.


They should be the same as displayed in Figure 11-12 and Figure 11-13. Figure 11-12. Task Details tab results for second run

Figure 11-13. Source/Target Statistics for second run


265

Preview the DIM_EMPLOYEES target data from the Designer. Scroll to the far right of the data screen and notice that there are now entries for UPDATE_DK and new entries at the bottom of the list for INSERT_DK. Figure 11-14. Data preview showing updates to the target table

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Unit 12: Dynamic Lookup and Error Logging In this unit you will learn about: ♦

Dynamic lookup cache

♦

Error logging

Lesson 12-1. Dynamic Lookup Cache

Type ive.

Description A Basic Lookup transformation allows the inclusion of additional information in the transformation process from an external database or flat file source. However when the lookup table is also the target row data may go out of sync with the target table image loaded in memory. The Dynamic Lookup transformation allows for the synchronization of the target lookup table image in memory with its physical table in a database.

Business Purpose In a data warehouse dimension tables are frequently updated and changes to new row data must be captured within a load cycle.

Example A business updates their customer master table on a daily basis. Within a day a customer may change there status or correct an error in their information. A new customer record may be added in the morning Unit 12: Dynamic Lookup and Error Logging Informatica PowerCenter 8 Level I Developer

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and a change to that record may be added later in the day, the change (insert followed by an update) needs to be detected dynamically. The following data is an example of two new records followed by two changed records within the day. The record for David Mulberry shows a change in the zip code from 02061 to 02065. The record for Silvia Williamson shows a change in marital status from “S” to “M”.

The following mapping uses a Lookup transformation Dynamic Lookup Cache option to capture the changes:

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Unit 12: Dynamic Lookup and Error Logging Informatica PowerCenter 8 Level I Developer

Dynamic Cache Properties For more detailed explanations consult the online help. Option

Lookup Type

Description

Dynamic Lookup Cache

Relational

Indicates to use a dynamic lookup cache. Inserts or updates rows in the lookup cache as it es rows to the target table. Use only with the lookup cache enabled.

Output Old Value On Update

Relational

When you enable this property, the Integration Service outputs old values out of the lookup/output ports. When the Integration Service updates a row in the cache, it outputs the value that existed in the lookup cache before it updated the row based on the input data. When the Integration Service inserts a new row in the cache, it outputs null values.

Insert Else Update

Relational

Applies to rows entering the Lookup transformation with the row type of insert. When you select this property and the row type entering the Lookup transformation is insert, the Integration Service inserts the row into the cache if it is new, and updates the row if it exists. If you do not select this property, the Integration Service only inserts new rows into the cache when the row type entering the Lookup transformation is insert.

Update Else Insert

Relational

Applies to rows entering the Lookup transformation with the row type of update. When you select this property and the row type entering the Lookup transformation is update, the Integration Service updates the row in the cache if it exists, and inserts the row if it is new. If you do not select this property, the Integration Service only updates existing rows in the cache when the row type entering the Lookup transformation is update.


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New Lookup Row

Description

0

The Integration Service does not update or insert the row in the cache.

1

The Integration Service inserts the row into the cache.

2

The Integration Service updates the row in the cache.

Key Port Points ♦

The Lookup transformation “Associated Port” matches a Lookup input port with the corresponding port in the Lookup cache.

♦

The “Ignore Null Inputs for Updates” should be checked for ports where null data in the input stream may overwrite the corresponding field in the Lookup cache.

♦

The “Ignore in Comparison” should be checked for any port that is not to be compared.

♦

The flag “New Lookup Row” indicates the type of row manipulation of the cache. If an input row creates an insert in the Lookup cache the flag is set to “1”. If an input row creates an update of the lookup cache the flag is set to “2”. If no change is detected the flag is set to “0”. A Filter or Router transformation can be used with an Update Strategy transformation to set the proper row tag to update a target table.

Performance Considerations A large lookup table may require more memory resources than available. A SQL override in the Lookup transformation can be used to reduce the amount of memory used by the Lookup cache.


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Lesson 12-2. Error Logging

PowerCenter recognizes the following types of errors: ♦

Transformation. An error occurs within a transformation. The data row has only ed partway through the mapping transformation logic.

♦

Data reject. The data row is fully transformed according to the mapping logic but due to a data issue, it cannot be written to the target. For example: ♦ ♦

Target database constraint violations, out-of-space errors, log space errors, null values not accepted Target table properties 'reject truncated/overflowed rows'

A data reject can also be forced by an Update Strategy. These error types are recorded as follows:

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Error Type

Logging OFF (Default)

Logging ON

Transformation errors

All errors written to session log then row discarded

Fatal errors written to session log. All errors appended to flat file or relational tables.

Data rejects

Appended to reject (.bad) file configured for session target

Written to row error tables or file


Error logging is set in the Session task:

Error Log Types


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Affects location attributes. Values are: ♦

None (no external error logging)

♦

Relational Database - produces 4 tables: ♦

♦

PMERR_SESS: Session metadata e.g. workflow name, session name, repository name ♦ PMERR_MSG: Error messages for a row of data ♦ PMERR_TRANS: Transformation metadata e.g. transformation group name, source name, port names with datatypes ♦ PMERR_DATA: Error row and source row data in string format e.g. [indicator1: data1 | indicator2: data2] Flat File - produces one file containing session metadata followed by de-normalized error information in the following format: Transformation || Transformation Mapplet Name || Transformation Group || Partition Index || Transformation Row ID || Error Sequence || Error Timestamp || Error UTC Time || Error Code || Error Message || Error Type || Transformation Data || Source Mapplet Name || Source Name || Source Row ID || Source Row Type || Source Data

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Log Row Data

Log Source Row Data


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Source row logging does not work downstream of active transformations (where output rows are not uniquely correlated with input rows).

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Unit 12 Lab: Load Customer Dimension Table Business Purpose Mersche Motors data warehouse has a customer table that is loaded on a daily basis. Many customers visit dealership locations more than once on a daily basis so the warehouse logic has to be able to track multiple visits on the same day. This logic must be able to test if a customer record has already been loaded in the current run and if so, what, if anything, has changed about the customer.

Technical Description PowerCenter will source from the staging table STG_CUSTOMERS and load the dimension table DIM_CUSTOMERS. Customer data may have more than one occurrence in the source. Data will have to be tested for new rows, existing rows and invalid rows. A Dynamic Lookup will need to be used since a customer row could occur more than once in the source. Some rows will have null data so flat file error logging will be used to capture these.

Objectives ♦

Introduce Dynamic Lookups.

♦

Reinforce the Update Strategy.

♦

Introduce error logging.

Duration 50 minutes

Unit 12 Lab: Load Customer Dimension Table Informatica PowerCenter 8 Level I Developer

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m_DIM_CUSTOMERS_DYN_DAILY_LOAD_xx

Source System

Oracle Table

Target System

Oracle Table

Initial Rows

6177

Rows/Load

6147

Short Description

Customer data will be loaded into the customer dimension table.

Load Frequency

Daily


Relational table error logging


CUST_ID


Schema/Owner

STG_CUSTOMERS

TDBUxx

Selection/Filter

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

Insert

Unique Key

DIM_CUSTOMERS

X

X

X

CUST_ID


Relational Source

Lookup

Filter

Update Strategy

Relational Target

PROCESSING DESCRIPTION (DETAIL) The source staging table contains customer data that needs to be tested dynamically against the target dimension table in order to process possible duplicate customers. Based on the test results, records will be marked for insertion if new, update if row requires an update or rejection if a row is determined to be invalid. Invalid rows will be rejected during the update strategy and sent to an error logging file.

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Target Column

Source Table

Source Column

DIM_CUSTOMER

CUST_ID

STG_CUSTOMER

CUST_ID

DIM_CUSTOMER

CUST_NAME

STG_CUSTOMER

CUST_NAME

DIM_CUSTOMER

CUST_ADDRESS

STG_CUSTOMER

CUST_ADDRESS

DIM_CUSTOMER

CUST_CITY

STG_CUSTOMER

CUST_CITY

DIM_CUSTOMER

CUST_STATE

STG_CUSTOMER

CUST_STATE

DIM_CUSTOMER

CUST_ZIP_CODE

STG_CUSTOMER

CUST_ZIP_CODE

DIM_CUSTOMER

CUST_COUNTRY

STG_CUSTOMER

CUST_COUNTRY

DIM_CUSTOMER

CUST_PHONE_NMBR

STG_CUSTOMER

CUST_PHONE_NMBR

DIM_CUSTOMER

CUST_GENDER

STG_CUSTOMER

CUST_GENDER

DIM_CUSTOMER

CUST_AGE_GROUP

STG_CUSTOMER

CUST_AGE_GROUP

DIM_CUSTOMER

CUST_INCOME

STG_CUSTOMER

CUST_INCOME

DIM_CUSTOMER

CUST_E_MAIL

STG_CUSTOMER

CUST_E_MAIL

DIM_CUSTOMER

CUST_AGE

STG_CUSTOMER

CUST_AGE


Expression


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Instructions Step 1: Create a Relational Source Definition 1.


2.

you are in the Source Analyzer tool and create a shortcut to the STG_CUSTOMERS source table found in the DEV_SHARED folder.

3.

Rename it to SC_STG_CUSTOMERS.


Open the Target Designer tool.

2.

Create a shortcut to the DIM_CUSTOMERS target table found in the DEV_SHARED folder.

3.

Rename it to SC_DIM_CUSTOMERS.


Open the Mapping Designer tool.

2.

Create a new mapping named m_DIM_CUSTOMERS_DYN_DAILY_LOAD_xx.

3.

Add the SC_STG_CUSTOMERS relational source to the new mapping.

4.

Add the SC_DIM_CUSTOMERS relational target to the new mapping.

5.

Save your work.

Step 4: Create a Lookup Transformation

282

1.

Create a new Lookup transformation using the SC_DIM_CUSTOMERS table.

2.

Drag the lookup window and make it taller.

3.

Select all the ports from SQ_SC_STG_CUSTOMERS and drop them on to an empty port at the bottom of the Lookup.

4.

Edit the Lookup transformation. a.

Rename it lkp_DIM_CUSTOMERS.

b.

Select the Properties tab. i.

Click on the Dynamic Lookup Cache value.

ii.

Click on the Insert Else Update value.

c.

Select the Ports tab and for all ports from the SQ_SC_STG_CUSTOMERS prefix them with IN_ and remove the “1” from the end of the name.

d.

Select the Condition tab and create the condition CUST_ID = IN_CUST_ID.


e.

Select the Ports tab again; It should look the same as Figure 12-1. Notice the new port entry called NewLookupRow. Figure 12-1. Port tab view of a dynamic Lookup

Note: Dynamic lookups allow for inserts and updates to take place in cache as the same operations

take place against the target table. Note: The Associated port column is there to allow the association of input ports with lookup ports

of different names. This enables PowerCenter to update the Lookup Cache with correct values. Note: NewLookupRow is used to store the values; 0, 1, 2.

0 = no change 1 = Insert 2 = Update


283

f.

Under the Associated Port column, click the box where it says “N/A” and select the port names from the list that you want to associate. See Figure 12-2. Figure 12-2. Port to Port Association

5.

g.

Associate the remaining ports.

h.

Clear the Output checkmarks for all of the ports prefixed with “IN_”.

Click OK and save your work.

Step 5: Create a Filter Transformation 1.

Create a Filter transformation named fil_ROWS_UNCHANGED.

2.

Drag all output ports from the Lookup transformation to the Filter transformation.

3.

Create a condition that allows all rows that are marked for update or insert, or all rows where the CUST_ID is NULL to through. Any rows where NewLookupRow != 0 are deemed to be inserts or updates. If you need assistance refer to the reference section at the end of the lab.

Step 6: Create an Update Strategy 1.

Create an Update Strategy transformation named upd_DIM_CUSTOMERS.

2.

Drag all ports from the Filter transformation to the Update Strategy transformation.

3.

Edit the upd_DIM_CUSTOMERS Update Strategy transformation. a.

Add an Update Strategy Expression that marks the row as an insert, update or reject. Use the following pseudo code to construct your expression. If you need assistance refer to the reference section at the end of the lab. If CUST_ID is NULL then reject the row Else If NewLookupRow equals 1 then mark the row for insert Else if NewLookupRow equals 2 then mark the row for update.

b.

Ensure the Forward Rejected Rows option is checked. This will send any rejected rows to error logs which will be created later.

Tip: Refer to the Unit 11 lab for details on the Update Strategy Transformation. 4.

284

Autolink ports by name to the SC_DIM_CUSTOMERS target.


5.

Save your work. Figure 12-3. Iconic View of the Completed Mapping



2.

Create a new workflow named wkf_DIM_CUSTOMERS_DYN_DAILY_LOAD_xx.

3.

Add a new Session task using m_DIM_CUSTOMERS_DYN_DAILY_LOAD_xx mapping.

4.

Edit the s_m_DIM_CUSTOMERS_DYN_DAILY_LOAD_xx session task. a.

Set the connection value for the SQ_STG_CUSTOMERS source to your assigned NATIVE_STGxx connection object.

b.

Set the connection value for the SC_DIM_CUSTOMERS target to your assigned NATIVE_EDWxx connection object.

c.

In the Config Object tab: i.

Change Error Handling section for the entry Error Log Type from None to Flat File as shown in Figure 12-4.

ii.

Change the Error Log File Name to PMErrorxx.log where xx refers to your student number.

Figure 12-4. Error Log Choice Screen

5.

Save your work and start the workflow. Note: In a Production environment, error logging tables or files would be created in a different schema or location than the production schema or file location.


285

6.

Review the Task Details, your information should appear similar to Figure 12-5. Figure 12-5. Task Details of the Completed Session Run

7.

Select the Source/Target Statistics tab. Your statistics should be the same as displayed in Figure 12-6. Figure 12-6. Source/Target Statistics for the Session Run

286


Data Results Preview the target data from the Designer, your data should appear the same as displayed in Figure 12-7. Figure 12-7. Data preview of the DIM_CUSTOMERS table


287

Error Log Results The error log is written to the BadFiles directory configured for the Integration Service process under the default name of PMErrorxx.log. Look in this location for the error log and look at the rows that were written there. The log should appear similar to Figure 12-8. Figure 12-8. Flat file error log

Reference 1.

fil_ROWS_UNCHANGED Condition NewLookupRow != 0 OR ISNULL(CUST_ID)

2.

upd_DIM_CUSTOMERS Expression IIF(ISNULL(CUST_ID), DD_REJECT, IIF(NewLookupRow = 1, DD_INSERT, IIF(NewLookupRow = 2, DD_UPDATE)))

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289

290


Unit 13: Unconnected Lookup, Parameters and Variables In this unit you will learn about: ♦

Unconnected Lookup transformation

♦

System variables

♦

Mapping parameters and variables

Lesson 13-1. Unconnected Lookup Transformations

Unit 13: Unconnected Lookup, Parameters and Variables Informatica PowerCenter 8 Level I Developer

291

Type ive.

Description The unconnected Lookup transformation allows the inclusion of additional information in the transformation process from an external database or flat file source when it is referenced within any transformation that s expressions.

292


Business Purpose A source table or file may have a percentage of records with incomplete data. The holes in the data can be filled by performing a look up to another table or tables. As only a percentage of the rows are affected it is better to perform the look up on only those rows that need it and not the entire data set.

Example In the following example an insurance business received records of policy renewals, a small percentage of records have the CUSTOMER_ID field data missing. The following mapping uses an Unconnected Lookup transformation to fill in the missing data.


293

Key Points ♦

Use the lookup function within a conditional statement.

♦

The condition is evaluated for each row but the lookup function is only called if the condition evaluates to TRUE.

♦

The unconnected Lookup transformation is called using the key expression :lkp.lookupname.

♦

Data from several input ports may be ed to the Lookup transformation but only one port may be returned.

♦

An Unconnected Lookup transformation returns on one value designated by the Lookup transformation R (return) port.

♦

If the R port is not checked that mapping will be valid but the session created from the mapping will fail at run time.

Performance Considerations Using a cached Lookup attribute can improve performance if the Lookup table is static.

Connected versus Unconnected Lookup Transformations

294


s versus Lookups

Lesson 13-2. System Variables


295

Description System variables hold information that is derived from the system. The cannot control the content of the variable but can use the information contained within the variable. Three variables that we will discuss are described in the table shown below. Variable

Description

SESSSTARTTIME

The time that the session starts execution. This is based on the time of the Integration Service.

SYSDATE

The current date/time on the system that PowerCenter is running on.

$$$SESSSTARTTIME

The Session Start time returned as a string.

Business Purpose The main reason that system variables are utilized to build mappings in PowerCenter is that they can provide consistency to program execution. Business and systems professionals will find this very useful when building systems.

Example Setting a port to the system date. To set a value of a port to the system date the developer needs to do this in an expression within a transformation. For this example we will set the DATE_UPDATED port to the system date. Port: DATE_UPDATED Datatype: Date Expression: SYSDATE

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Lesson 13-3. Mapping Parameters and Variables

Description A mapping can utilize parameters and variables to store information during the execution. Each parameter and variable is defined with a specific data type. Parameters are different from variables in that the value of a parameter is fixed during the run of the mapping while the value for a variable can change. Both parameters and variables can be accessed from anywhere in the mapping. To create a parameter or variable, select Mapping>Parameters and Variables from within the Mapping Designer in the Designer client.


297

Scope Parameters and variables can only be utilized inside of the object that they are created in. For instance a mapping variable created for mapping_1 can only be seen and used in mapping_1 and is not available in any other mapping or mapplet. A parameter or variable's scope is the mapping in which it was created. As a general rule for Informatica, when a variable is created its scope is relative to the object in which it was created.

298


-defined variable and parameter names must always begin with $$. $$PARAMETER_NAME

or $$VARIABLE_NAME

To change the value of a variable, you must use one of the following functions within an expression: Function Name

Usage Notes

Example

SetVariable

Sets the variable to a value that you specify (executes only if a row is marked as insert or update). At the end of a successful session, the Integration Service saves either the MAX or MIN of (start value.final value) to the repository, depending on the aggregate type of the variable. Unless overridden, it uses the saved value as the start value of the variable for the next session run.

SetVariable($$VAR_NAME, 1)

SetCountVariable

Increments a counter variable. If the Row Type is Insert increment +1, if Row Type is Delete increment -1. 0 for Update and Reject.

SetCountVariable($$COUNT_VAR)

SetMaxVariable

Compare current value to value ed into the function. Returns the higher value and sets the current value to the higher value.

SetMaxVariable($$MAX_VAR,10)

SetMinVariable

Compare current value to the value ed into the function. Returns the lower value and sets the current value to the lower value.

SetMinVariable($$MIN_VAR,10)

At the end of a successful session, the values of variables are saved to the repository. The SetVariable function writes the final value of a variable to the repository based on the Aggregation Type selected when the variable was defined. The final value written to the repository is not necessarily the last value processed by the SetVariable function. The final value written to the repository for a variable that has an Aggregate type of Max will be whichever value is greater, current value or initial value. The final value for a variable with a MIN Aggregation Type will be whichever value is smaller, current value or initial value.


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Variable Definition

The Integration Service determines the value of a variable by checking for it in a specific order. The following table describes the order of precedence. Number

Item

Description

1

Parameter File

This file can hold information about definitions of variables and parameters

2

Repository Saved Value

Values for variables that were saved in the repository upon the successful completion of a session.

3

Initial Value

The Initial value as defined by the .

4

Default Value

The Default value set by the system.

Parameter Definition The Integration Service determines the value of a parameter by checking for it in a specific order. The following table describes the order of precedence. Number

Item

Description

1

Parameter File

This file can hold information about definitions of variables and parameters

2

Initial Value

The Initial value as defined by the .

3

Default Value

The Default value set by the system.

Purpose Mapping variables and parameters are used: ♦

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To simplify mappings by carrying information within or between transformations. Unit 13: Unconnected Lookup, Parameters and Variables Informatica PowerCenter 8 Level I Developer

♦

To improve maintainability by allowing quick changes to values within a mapping.

We will discuss two examples, one using a variable and one using a parameter. The first example uses a variable to implement incremental extracts from relational sources. The second example uses parameters to replace “naked” numbers and strings within expressions.

Example 1 Tracking Last Execution Date To set up a mapping to perform an incremental extract, we will utilize a variable to track when the mapping was last executed. We will then use this variable as part of the SQL that extracts the data to ensure that we only pick up new and modified records. The variable will be updated to today's date when the mapping is complete so that we can use it the next time we run. The SQL WHERE clause will be modified in the Source Qualifier Transformation. The following is an example of a statement that could become part of a Source Qualifier Filter. F1_LAST_UPDATE_DATE >= '$$LAST_RUN_DT'

Where: ♦

F1_LAST_UPDATE_DATE

♦

is a created mapping variable that holds the value of the date of the last run. Note that this variable is surrounded by single quotes. The quotes are required so that the SQL syntax will be proper.

is a database field that contains the date when the record was last touched

$$LAST_RUN_DT

To set the value of $$LAST_RUN_DT, we will use the function Setvariable. Setvariable( $$LAST_RUN_DT, SESSSTARTTIME)

Example 2 Replacement of Nameless Numbers It is not always wise to embed a number or character string into expressions because the team may not understand the meaning of the number or character string. To help eliminate misunderstandings, use parameters to leave a better record of how the value is derived. Without a parameter, the expression might be: IIF(ISNULL(SOLD_DT),TO_DATE('1/1/3000','MM/DD/YYYY')

Someone could misinterpret this statement, possibly thinking it might be a mistake. But if we used a parameter then there would less chance of a misunderstanding. For instance, the following statement is much clearer. IIF(ISNULL(SOLD_DT),$$OFFICIAL_DEFAULT_DT) $$OFFICIAL_DEFAULT_DT is equal to '1/1/3000'. If all mappings used the same parameter and a common parameter file, then it would be easy to ensure that all processes used the same value. This would ensure


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consistency. Additional examples of ways mappings could utilize variables or parameters to replace nameless numbers and strings is shown in the following table. Variable/Parameter Usage Examples Potential Value

Param Or Var

Name

Replace Naked Numbers with Number e.g. an expression that determines if tech cases have been open greater than 100 days.

100

Param

$$MAX_NUM_DAYS_OPEN

Replace Naked Characters - Set the value of Processing Center where the session is executed using a variable that is defined in the mapping and has its value set in a parameter file.

'US’

Var

$$REG_PROC_LOCATION

Consistency - Utilize parameters to make sure that everyone uses the same value in expressions. Create two parameters that represent yes and no. Have all mappings use the same values via a parameter file.

'Y' ‘N’

Param Param

$$YES_1_CHAR $$NO_1_CHAR

Reason/Goal

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Unit 13 Lab: Load Sales Fact Table Business Purpose Mersche Motors dealerships sometimes give aggressive discounts that are outside the authorized range. These type discounts are a small percentage compared to the number of rows being processed but the information needs to be processed accordingly. Also, even though the source staging table contains 7 days of data, this production run will load the entire staging table into the SALES_FACT table in a single workflow.

Technical Description The information needed resides in two separate staging tables. To compound this, the relationship between the two tables does not exist on the database. Referential integrity will have to be created within PowerCenter. Special formulas are needed to process the discounts out of range. To make this more efficient the use of mapping parameters and variables will be used.

Objectives ♦

Unconnected Lookup transformation

♦

Aggregator transformation

♦

Mapping parameters

Duration 35 Minutes

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m_FACT_SALES_LOAD_xx

Source System

Oracle Tables

Target System

Oracle Table

Initial Rows

5475, 5

Rows/Load

5441

Short Description

Will have to two tables to get the payment id. This relationship does not exist in the RDBMS so it will need to be created in PowerCenter.

Load Frequency

Daily

Preprocessing

Target Append


Default



Schema/Owner

Selection/Filter

STG_TRANSACTIONS STG_PAYMENT

TDBUxx TDBUxx

Where STG_TRANSACTIONS.PAYMENT_DESC = STG_PAYMENT.PAYMENT_TYPE_DESC

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

Insert

Unique Key

FACT_SALES

X

X

X

CUST_ID, PRODUCT_KEY, DEALERSHIP_ID, PROMO_ID, DATE_KEY

LOOKUPS

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Lookup Name

lkp_DIM_DATES

Table

DIM_DATES

Match Condition(s)

STG_TRANSACTIONS.TRANSACTION_DATE = DIM_DATES.DATE_VALUE

Filter/SQL Override

Reuse persistent cache

Location

TDBUxx


Lookup Name

lkp_DIM_PROMOTIONS

Table

DIM_PROMOTIONS

Match Condition(s)

STG_TRANSACTIONS.PROMO_ID = DIM_PROMOTIONS.PROMO_ID

Lookup Type

Unconnected

Lookup Name

lkp_DIM_PRODUCT

Table

DIM_PRODUCT

Match Condition(s)

STG_TRANSACTIONS.PRODUCT_ID = DIM_PRODUCT.PRODUCT_ID

Location

Location

TDBUxx

TDBUxx

Filter/SQL Override

HIGH LEVEL PROCESS OVERVIEW Lookup Source1 Expression

Aggregator

Target

Source2 Lookup Lookup

PROCESSING DESCRIPTION (DETAIL) The mapping will two relational tables that do not have a PK-FK relationship. This relationship will have to be created within PowerCenter. There are lookups required to get a date key and promotion indicator. An unconnected Lookup will be used in situations where a valid discount value needs to be obtained. Also, there are a number of values that need to be derived before being loaded into the FACT_SALES table.


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Target Column

CUST_ID

PRODUCT_KEY

DEALERSHIP_ID

PAYMENT_ID

PROMO_ID

DATE_KEY

UNITS_SOLD

REVENUE

COST

DISCOUNT

HOLDBACK

REBATE

Target Table

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

FACT_SALES

STG_TRANSACTIONS

STG_TRANSACTIONS

STG_TRANSACTIONS STG_PROMOTIONS

STG_TRANSACTIONS

STG_TRANSACTIONS

STG_TRANSACTIONS

DIM_DATES

STG_TRANSACTIONS

STG_PAYMENT

STG_TRANSACTIONS

DIM_PRODUCT

STG_TRANSACTIONS

Source Table


REBATE

HOLDBACK

DISCOUNT/Derived

Derived

Derived

Derived

DATE_KEY

PROMO_ID

PAYMENT_ID

DEALERSHIP_ID

PRODUCT_KEY

CUST_ID

Source Column

If the discount is > 17.75 then look up to the STG_PROMOTIONS table to select a discount rate. The discount is the discount rate divided by 100 times the selling price.

sum (UNIT_COST * SALES_QTY)

sum of (SELLING_PRICE * SALES_QTY) - DISCOUNT - HOLDBACK - REBATE)

sum of SALES_QTY

Lookup from STG_TRANSACTIONS to DIM_DATES using TRANSACTION_DATE as the lookup value.

Source Qualifier on payment description. (stg_transactions/stg_payment)

Lookup from STG_TRANSACTIONS to DIM_PRODCUT using PRODUCT_ID as the lookup value.

Expression


Instructions Step 1: Create an Internal Relationship Between two Source Tables 1.


2.

Drag the STG_TRANSACTIONS and STG_PAYMENT relational source tables into the Source Analyzer workspace.

3.

The PAYMENT_DESC column from STG_TRANSACTIONS and the PAYMENT_TYPE_DESC column of the STG_PAYMENT table are logically related so we can build a on them. They both contain the payment type description. Link the PAYMENT_DESC column from STG_TRANSACTIONS to the PAYMENT_TYPE_DESC column of the STG_PAYMENT table. This will create a PK-FK relationship between the two tables. Note: Creating the PK_FK relationship within the Source Analyzer does not create this relationship

on the actual database tables. The relationship is created on the source definitions within PowerCenter only. Your source definitions should look the same as displayed in Figure 13-1. Figure 13-1. Source Analyzer view of the STG_TRANSACTIONS and STG_PAYMENT tables

Step 2: Create a Mapping Parameter 1.

Open the mapping named m_FACT_SALES_LOAD_xx.

2.

Add a mapping parameter be clicking Mappings > Parameters and Variables.


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3.

On the next screen, click the Add a new variable to this table icon. See Figure 13-2: Figure 13-2. Declare Parameters and Variables screen

4.

Create a new parameter. ♦ ♦ ♦ ♦ ♦

Parameter Name = $$MAX_DISCOUNT Type = Parameter Datatype = decimal Precision = 15,2 For the initial value, enter 17.25.

Figure 13-3. Parameter entry

5.

Click OK.

6.

Save your work.

Step 3: Step Three: Create an Unconnected Lookup 1.

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Create a Lookup transformation using the SC_DIM_PROMOTIONS relational target table and name it lkp_DIM_PROMOTIONS. Unit 13 Lab: Load Sales Fact Table Informatica PowerCenter 8 Level I Developer

2.

Under the Ports tab: a.

Click on PROMO_ID, then click the Copy icon

b.

Name the new port IN_PROMO_ID and make it an input only port.

c.

Make DISCOUNT the Return port.

d.

Uncheck the Output ports for all other ports except PROMO_ID and DISCOUNT.

, and then the Paste icon

.

The Lookup should look the same as Figure 13-4: Figure 13-4. Lookup Ports tab showing input, output and return ports checked/unchecked

3.

Create the lookup condition comparing PROMO_ID to IN_PROMO_ID.

4.

Click OK and save the repository.

Step 4: Add Unconnected Lookup Test to Expression 1.

Edit the exp_DISCOUNT_TEST Expression transformation.

2.

If the IN_DISCOUNT port has a value greater than the value ed in via a mapping parameter, then we need to get an acceptable value from the DIM_PROMOTIONS table. The variable port v_DISCOUNT will be used to hold the return value. Edit the v_DISCOUNT variable port and add the expression: IIF(IN_DISCOUNT > $$MAX_DISCOUNT, :LKP.LKP_DIM_PROMOTIONS(PROMO_ID),IN_DISCOUNT)

3.

The discount is held as a whole number. We need to change this to a percentage and apply it against the selling price to derive the dollar value of the discount. Edit the output port OUT_DISCOUNT and add the expression: v_DISCOUNT / 100 * SELLING_PRICE

Step 5: Create Aggregator Transformation 1.

Create an Aggregator transformation named agg_FACT_SALES.

2.

Drag the PRODUCT_KEY port from lkp_DIM_PRODUCT to agg_FACT_SALES.

3.

Drag the DATE_KEY port from lkp_DIM_DATES to agg_FACT_SALES.


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4.

Drag the following ports from the Expression transformation to the Aggregator: ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦

5.

PAYMENT_ID CUST_ID DEALERSHIP_ID PROMO_ID SELLING_PRICE UNIT_COST SALES_QTY HOLDBACK REBATE OUT_DISCOUNT

Open the Aggregator and re-order the key ports in the following order: CUST_ID, PRODUCT_KEY, DEALERSHIP_ID, PAYMENT_ID, PROMO_ID, DATE_KEY.

6.

Group by the ports in Figure 13-5: Figure 13-5. Aggregator ports with Group By ports checked

7.

Uncheck the output ports for SELLING_PRICE, UNIT_COST and SALES_QTY.

8.

Rename the following ports: ♦ ♦ ♦ ♦

9.

Add the following new ports: ♦

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SELLING_PRICE to IN_SELLING_PRICE. UNIT_COST to IN_UNIT_COST. SALES_QTY to IN_SALES_QTY. OUT_DISCOUNT to DISCOUNT. Create a new output port after the DISCOUNT port. Port Name

OUT_UNITS_SOLD

Datatype

decimal


♦

♦

Precision

3

Expression

SUM(IN_SALES_QTY)

Create a new output port after the OUT_UNITS_SOLD port. Port Name

OUT_REVENUE

Datatype

decimal

Precision

15,2

Expression

SUM( ( IN_SELLING_PRICE * IN_SALES_QTY) - DISCOUNT - HOLDBACK - REBATE)

Create a new output port after the OUT_REVENUE port. Port Name

OUT_COST

Datatype

decimal

Precision

15,2

Expression

SUM( IN_UNIT_COST)

The Aggregator ports should be the same as displayed in Figure 13-6. Figure 13-6. Finished Aggregator

10.

Use Autolink by name to link the ports from the agg_FACT_SALES transformation to the SC_FACT_SALES target table. You will need to use the prefix of OUT_ to link all of the ports.


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The results should appear the same as Figure 13-7. Figure 13-7. Aggregator to Target Links

11.

Save your work.

12.

Iconize the mapping.

Figure 13-8. Iconic view of the completed mapping

Step 6: Create and Run the Workflow

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1.


2.

Create a new workflow named wkf_FACT_SALES_LOAD_xx.

3.

Add a new Session task named s_m_FACT_SALES_LOAD_xx that uses the m_FACT_SALES_LOAD_xx mapping.

4.

Edit the s_m_FACT_SALES_LOAD_xx session. a.

Set the connection value for the sq_STG_TRANSACTIONS_PAYMENT source table to NATIVE_STGxx where xx is your student number.

b.

Set the connection value for the SC_FACT_SALES target table to NATIVE_EDWxx where xx is your student number.

c.

Change the Target load type to Normal.


d.

Under the mapping tab, select the lkp_DIM_DATES transformation and ensure that the Cache File Name Prefix is set to your pre-defined persistent cache (LKPSTUxx).

e.

Under the Session Properties tab, set $Target connection value to NATIVE_EDWxx.

5.

Save your work.

6.

Start the workflow.

7.

Review the Task Details. Figure 13-9. Task Details of the completed session run

8.

Review the Source/Target Statistics. Your statistics should be the same as displayed in Figure 13-10. Figure 13-10. Source/Target Statistics of the completed session run


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Data Results Preview the target data from the Designer, your data should appear the same as displayed in Figure 13-11. Figure 13-11. Data Preview of the FACT_SALES target table

Note: Not all rows and columns are shown.

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Unit 14: Mapplets In this unit you will learn about: ♦

Mapplets

Lesson 14-1. Mapplets Mapplets

Description Mapplets can combine multiple mapping object for re-usability; they can also simplify complex mapping maintenance. A mapplet can receive the input data from either an internal source or from the mapping pipeline that calls the mapplet. A mapplet must data out of the mapplet via a Mapplet Output transformation.

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Mapping Input Transformation Type ive or Active.


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Description The Mapplet Input transformation acts as an input to a Mapplet.

Example In the following example a business as part of its daily sales needs to apply discounts to the data, perform a number of lookups and aggregate the sales values. This functionality is used in several types of feeds so a Mapplet was created to provide this functionality to many mappings. The Mapplet Input transformation is used to receive the sales transactions by customers, discounts are applied and then two lookups are used to find the product key and date keys. An Aggregator is used to sum the cost and revenue. A Mapplet Output transformation is used the output of the Mapplet back into the mapping that called it.

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Mapping Output Transformation

Type ive.

Description The Mapplet Output transformation acts as an output from a Mapplet.

Example The following example illustrates the Mapplet Output transformation.


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The following example illustrates a Mapplet with multiple output groups.

Warning: When the mapplet is expanded at runtime, an unconnected output group can result in a

transformation having no output connections. If that is illegal, the mapping will be invalid.

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Examples: ♦

If the mapplet outputs are fed by an Expression transformation, the mapping is invalid because an Expression requires a connected output.

♦

If the mapplet outputs are fed by a Router, the mapping is valid because a Router can have unconnected output groups.


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Unit 14 Lab: Create a Mapplet Business Purpose The team lead has noticed that there are other situations where we can reuse some of the transformations developed in the FACT_SALES load mapping.

Technical Description To take advantage of previously created objects, we will create a mapplet from existing objects used in a previous mapping. This mapplet can then be used in other mappings.

Objectives ♦

Create a Mapplet

Duration 15 Minutes

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Instructions Step 1: Create the Mapplet 1.

In the Mapping Designer, re-open the m_FACT_SALES_LOAD_xx mapping.

2.

Highlight the following five transformations by holding down the Ctrl key and pressing the left mouse button: ♦ ♦ ♦ ♦ ♦

lkp_DIM_PROMOTIONS lkp_DIM_PRODUCT lkp_DIM_DATES exp_DISCOUNT_TEST agg_FACT_SALES.

3.

Select Edit > Copy or type Ctrl+C.

4.

Open Mapplet Designer. Create a mapplet named mplt_AGG_SALES. a.

Select Edit > Paste or type Ctrl+V.

b.

Right click in the workspace and Arrange All.

c.

Select the Scale to Fit icon.

Your mapplet definition should look the same as Figure 14-1. Figure 14-1. Mapplet Designer view of mplt_AGG_SALES

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d.

Add a mapplet Input transformation.

e.

Name the Mapplet Input Transformation in_TRANSACTIONS.

f.

Add a mapplet Output transformation.

g.

Name the Mapplet Output Transformation out_TRANSACTIONS.


h.

From the exp_DISCOUNT_TEST transformation, drag all Input ports to the Input transformation.

i.

From the Aggregator agg_FACT_SALES, drag all Output ports to the Output transformation.

j.

Select the Scale to Fit icon.

k.

The mapplet should look similar to Figure 14-2.

Figure 14-2. Mapplet Designer view of MPLT_AGG_SALES with Input and Output transformations

l.

Save your work. Notice the mapplet is invalid. Scroll through the messages in the output window. They point to the expression exp_DISCOUNT_TEST as having an invalid symbol reference. The reference to the parameter $$MAX_DISCOUNT is invalid as it does not exist within the mapplet parameter definition. Note: Mapping parameters and variables that are created in a mapping are not available for use in a mapplet that is called from the mapping.

m.

Create a new parameter:

♦

Parameter Name = $$MAX_DISCOUNT Type = Parameter Datatype = decimal Precision = 15,2 Initial Value = 17.25

♦ ♦ ♦ ♦

5.

Save your work.

Step 2: Add Mapplet to Mapping 1.

Make a copy of the m_FACT_SALES_LOAD_xx mapping and open it in the Mapping Designer.

2.

Rename the mapping to m_FACT_SALES_LOAD_MAPPLET_xx.

3.

Delete the 5 transformations that you previously copied to the mapplet.

4.

Drag the mapplet mplt_AGG_DAILY into the mapping.

5.

Use Autolink by name to link the ports from the sq_STG_TRANSACTIONS_PAYMENT to the mplt_AGG_SALES input.


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6.

Manually link the DISCOUNT port to the IN_DISCOUNT port.

7.

Use Autolink by name to link the Output portion of the mapplet to the target. You will need to specify OUT_ for the prefix and 1 for the suffix.

8.

Arrange All Iconic.

9.

Save your work.

Your mapping should look the same as Figure 14-3. Figure 14-3. Iconic view of the m_FACT_SALES_LOAD_MAPPLET_xx mapping

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Unit 15: Mapping Design In this unit you will learn about: ♦

Deg mappings

♦

The workshop will give you practice in deg your own mappings.

Lesson 15-1. Deg Mappings Description This is designed to provide the a checklist of topics to entertain during the mapping development process. This document will cover a variety of situations s will have to address and help them ask the right questions before and during the design process.

What to Consider The mapping process requires much more up front research than it appears. Before deg a mapping, it is important to have a clear picture of the end-to-end processes that the data will flow through. ♦

Design a high-level view of the mapping and document a picture of the process with the mapping, using a textual description to explain exactly what the mapping is supposed to accomplish and the methods or steps it will follow to accomplish its goal.

♦

After the high level flow has been established, document the details at the field level, listing each of the target fields and the source field(s) that are used to create the target field. Document any expression that may take place in order to generate the target field (e.g., a sum of a field, a multiplication of two fields, a comparison of two fields, etc.). Whatever the rules, be sure to document them at this point and to keep it at a physical level. The designer may have to do some investigation at this point for some business rules. For example, the business rules may say 'For active customers, calculate a late fee rate'. The designer of the mapping must determine that, on a physical level, that translates to 'for customers with an ACTIVE_FLAG of “1”, multiply the DAYS_LATE field by the LATE_DAY_RATE field'.

♦

Create an inventory of Mappings and Reusable objects. This list is a 'work in progress' list and will have to be continually updated as the project moves forward. The lists are valuable to all but particularly for the lead developer. These objects can be assigned to individual developers and progress tracked over the course of the project.

♦

The or lead developer should gather all of the potential Sources, Targets and Reusable objects and place these in a shared folder accessible to all who may need access to them.

♦

As for Reusable objects, they need to be properly documented to make it easier for other developers to determine if they can/should use them in their own development.

♦

As a developer the specifications for a mapping should include required Sources, Targets and additional information regarding derived ports and finally how the ports relate from the source to the target.

♦

The Informatica Velocity methodology provides a matrix that assists in detailing the relationship between source fields and target fields. It also depicts fields that are derived from values in the Source and eventually linked to ports in the target.

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♦

If a shared folder for Sources and Targets is not available, the developer will need to obtain the source and target database schema owners, s and connect strings. With this information ODBC connections can be created in the Designer tool to allow access to the Source and Target definitions.

♦

Document any other information about the mapping that is likely to be helpful in developing the mapping. Helpful information may, for example, include source and target database connection information, lookups and how to match data in the lookup tables, data cleansing needed at a field level, potential data issues at a field level, any known issues with particular fields, pre or post mapping processing requirements, and any information about specific error handling for the mapping.

♦

The completed mapping design should then be reviewed with one or more team for completeness and adherence to the business requirements. In addition, the design document should be updated if the business rules change or if more information is gathered during the build process.

High Level Process Overview Relational Target

Lookup

Relational Source

Expression

Relational Target

Router

Relational Target

Mapping Specifics The following are tips that will make the mapping development process more efficient. (not in any particular order)

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♦

One of the first things to do is to bring in all required source and target objects into the mapping.

♦

Only connect fields that are needed or will be used.

♦

Only connect from the Source Qualifier those fields needed subsequently.

♦

Filter early and often. Only manipulate data that needs to be moved and transformed. Reduce the number non-essential records that are ed through the mapping.

♦

Decide if a Source Qualifier will net the result needed versus creating a Lookup to retrieve desired results.

♦

Reduce the number of transformations. Excessive number of transformations will increase overhead.

♦

Consider increasing the shared memory from 12MB to 25MB or 40MB when using a large number of transformations.

♦

Make use of variables, local or global, to reduce the number of times functions will have to be used.

♦

Watch the data types. The Informatica engine converts compatible data types automatically. Excessive number of conversions is inefficient.

♦

Make use of variables, reusable transformations and mapplets for reusable code. These will leverage the work done by others. Unit 15: Mapping Design Informatica PowerCenter 8 Level I Developer

♦

Use active transformations early in the process to reduce the number of records as early in the mapping as possible.

♦

When ing sources, select appropriate driving/master table.

♦

Utilize single reads. Design mappings to utilize one Source Qualifier to populate multiple targets.

♦

Remove or reduce field-level stored procedures. These will be executed for each record and slow performance.

♦

Lookup Transformation tips: ♦

♦

When the source is large, cache lookup table columns for those lookup tables of 500,000 rows or less. ♦ Standard rule of thumb is not to cache tables over 500,000 rows. ♦ Use equality (=) conditions if possible in the Condition tab. ♦ Use IIF or DECODE functions when lookup returns small row sets. ♦ Avoid date comparisons in lookup; convert to string. Operations and Expression Transformation tips: ♦ ♦ ♦ ♦

Numeric operations are faster than string. Trim Char and Varchar fields before performing comparisons. Operators are faster than functions (i.e. || vs. CONCAT). Use flat files. File read/writes are faster than database reads/writes on same server. Fixed width files are faster than delimited file processing.


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Unit 15 Workshop: Load Promotions Daily Aggregate Table Business Purpose The management wants to be able to analyze how certain promotions are performing. They want to be able to gather the promotions by day for each dealership for each product being sold.

Technical Description The instructions will provide enough detail for you to design and build the mapping necessary to load the promotions aggregate table. It is suggested that you use the Velocity best practices that have been discussed during the course. The workshop will provide tables that can be filled in before you start building the mapping. If you are unclear on any of the instructions please ask the instructor.

OBJECTIVE Design and create a mapping to load the aggregate table

Duration 120 minutes


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Workshop Details Sources and Targets SOURCE: STG_TRANSACTIONS This relational table contains sales transactions for 7 days. It will be located in the TDBUxx schema and contains 5,475 rows. For the purpose of this mapping we will read all 7 days of data. See Figure 15-1 for the source table layout. Figure 15-1. Source table definition

TARGET: FACT_PROMOTIONS_AGG_DAILY This is a relational table is located in the TDBUxx schema. After running the mapping it should contain 1,073 rows. See Figure 15-2 for the target table layout. Figure 15-2. Target table definition

Mapping Details In order to successfully create the mapping you will need to know some additional details. ♦ The management has decided that they don't want to keep track of the Manager Discount or the Employee Discount (PROMO_ID 105 and 200) so these will need to be excluded from the load.

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♦

The PRODUCT_KEY can be obtained from the DIM_PRODUCT table by matching on the PRODUCT_ID.

♦

The DATE_KEY can be obtained from the DIM_DATES table by matching the TRANSACTION_DATE to the DATE_VALUE.

♦

UNITS_SOLD is derived by summing the SALES_QTY.


♦

REVENUE is derived by taking the SALES_QTY times the SELLING_PRICE and then subtracting the DISCOUNT, HOLDBACK and REBATE. ♦

♦

Most of the discounts are valid but occasionally they may be higher than the acceptable value of 17.25. When this occurs you will need to obtain an acceptable value based on the PROMO_ID. The acceptable value can be obtained from the DIM_PROMOTIONS table by matching the PROMO_ID. ♦ The DISCOUNT is a percentage stored as a number. To calculate the actual discount in dollars you will need to divide the DISCOUNT by 100 and multiply it by the SELLING_PRICE. REVENUE_PER_UNIT is derived by dividing the REVENUE by the SALES_QTY.

♦

COST is derived by summing the UNIT_COST.

♦

COST_PER_UNIT is derived by summing the UNIT_COST and dividing it by the sum of the SALES_QTY.

♦

Save your work often.


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m_FACT_PROMOTIONS_AGG_DAILY_LOAD

Source System

Oracle Table

Target System

Initial Rows

Oracle Table

Rows/Load

Short Description

Load the daily promotions aggregate table from the STG_TRANSACTIONS table.

Load Frequency

Daily

Preprocessing

Target Append


Default



Schema/Owner

Selection/Filter

TARGETS Tables

Schema Owner

Table Name

Update

Delete

Insert

Unique Key

LOOKUPS Lookup Name Table

Location

Match Condition(s) Filter/SQL Override Lookup Name Table

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Location


Match Condition(s) Filter/SQL Override Lookup Name Table

Location

Match Condition(s) Filter/SQL Override


PROCESSING DESCRIPTION (DETAIL) SOURCE TO TARGET FIELD MATRIX Target Table

Target Column

Source

File

Source Column

Expression


Workflow Details This is a simple workflow containing a Start task and a Session task. Unit 15: Mapping Design Informatica PowerCenter 8 Level I Developer

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Run Details Your Task Details should be similar to Figure 15-3. Figure 15-3. Task Details of the completed session run

Your Source/Target Statistics should be similar to Figure 15-4. Figure 15-4. Source/Target Statistics of the completed session run

Your Preview Data results should be similar to Figure 15-5. Figure 15-5. Data Preview of the FACT_PROMOTIONS_AGG_DAILY table

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Unit 16: Workflow Variables and Tasks In this unit you will learn about: ♦

Link Conditions

♦

Workflow variables

♦

Assignment tasks

♦

Decision tasks

♦

Email tasks

Lesson 16-1. Link Conditions You can set conditions on workflow links: ♦

If the link condition is True, the next task is executed.

♦

If the link condition is False, the next task is not executed.

To set a condition, right-click a link and enter an expression that evaluates to True or false. You can use workflow variables in the condition (see later).

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Lesson 16-2. Workflow Variables Workflow variables can either be Pre-defined or -defined.

-defined workflow variables are created by selecting Workflows > Edit and then selecting the Variables tab.

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Description Workflow variables can be -defined or pre-defined: -defined workflow variables can be used to information from one point in a workflow to another. 1.

Declare workflow variables in the workflow Variables tab.

2.

Selecting persistent will write the last value out to the repository and make it available the next time the workflow is executed.

3.

Use an Assignment task to set the value of the variable.

4.

Use the variable value later in the workflow.

Pre-defined workflow variables come in two types: ♦

System Variables (SYSDATE and WORKFLOWSTARTTIME) can be used for example when calculating variable dates and times in the Assignment task link conditions.

♦

Task-specific workflow variables are available in Decision, Assignment and Timer tasks, and in link conditions. They include EndTime, ErrorCode, ErrorMsg, FirstErrorCode, FirstErrorMsg, PrevTaskStatus, SrcFailedRows, SrcSuccessRows, StartTime, Status, TgtFailedRows, TgtSuccessRows and TotalTransErrors.

Workflow variables are discussed in more detail in the Workflow istration Guide.

Business Purpose A workflow can contain multiple tasks and multiple pipelines. One or more tasks or pipelines may be dependent on the status of previous tasks.

Example S2 may be dependent on the successful running of S1. Success may be defined as session status = Successful and the number of source and target failed rows = zero. The link that precedes S2 can be coded such that S2 will not run if all 3 of the criteria are not true. Use the Task Specific Workflow Variables 'Status', 'SrcFailedRows' and 'TgtFailedRows' in the Link Condition Expression. In this proposed case, there is no allowance for only 1 of the 3 conditions being true.

S4 may be desired not to run if S3 took more than 1 hour past the workflow start time. A truncation and testing of WORKFLOWSTARTTIME in the Link Condition preceding S4, is appropriate.


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Lesson 16-3. Assignment Task

Description The Assignment task can establish the value of a Workflow Variable (refer to the subsequent Workflow Variables section of this document) whose value can be used at a later point in the workflow, as testing criteria to determine if (or when) other workflow tasks/pipelines should be run. It is a 3-step process: create a Workflow Variable in the workflow properties; establish the value of that variable with an Assignment task; test that variable value at some subsequent point in the workflow.

Business Purpose Running a workflow task may depend on the results of other tasks or calculations in the workflow. An Assignment task can do certain calculations, establish a variable value for a Workflow Variable. What that value is may determine whether other tasks or pipelines are run.

Example

S5 should run at least 1 hour after S2 completes. ASGN1 can be coded to set a time that TIMER1 will wait for, before proceeding to S5. To prevent ASGN1 from running until S2 completes, use a Link Condition (refer to Workflow Design section of this document).

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Code the Assignment task ASGN1 (in part) using the PowerCenter TRUNC date function, and the pseudocode for the variable date value > = Session2's EndTime + 1 hour. The Timer task TIMER1 will wait for that variable time to exist before running S5.

Lesson 16-4. Decision Task

Description Decision tasks enable the workflow designer to set criteria by which the workflow will or will not proceed to the next set of tasks, depending on whether the set criteria is true or false.

Business Purpose Commonly, workflows have multiple paths. Some are simply concurrent tasks. Others are pipelines of tasks that should only be run if results of preceding tasks are successful. Still others are pipelines of tasks that should only be run if those results are not successful. What determines the success or failure of a task or group of tasks is Defined, depending on the business-defined rules and operational rules of processing. That criterion is set as the Decision Condition in a Decision Task and subsequently tested for a True or False condition.

Example If a session, group of sessions or any combination of workflow tasks is successful, a subsequent set of sessions should run. If any one of the tasks fails or does not produce desired results, those sessions should


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not be run. Instead, an email should be sent to the processing operator to perhaps run a back out session, or simply notify the Development Team Lead or Business Unit Lead, that an error condition existed.

Lesson 16-5. Email Task

Description Email tasks enable PowerCenter to send email messages at various points in a workflow. s can define email addresses, a subject line and the email message text. When called from within a Session task, the message text can contain variable session-related metadata.

Business Purpose Various business and operational staff may need to be notified of the progress of a workflow, the status of tasks (or combination of tasks) within it, or various metadata results of a session.

Example The Business Unit Team Lead may request to receive an email detailing the time a load finished, the total number of rows loaded and the number of rows rejected. This could be accomplished with either a 348


reusable email task (which allows variable session metadata) called from within a session. If sessionspecific variable metadata is not required, a standard text message could be send by using a non-reusable email task which follows the session in the workflow. Operational staff may request receipt of an email if a session-required source file does not arrive by the time the session is scheduled to run. Receipt of the email message would be the operator's signal that some type of manual intervention or restore routine is required to correct the problem.

Performance Considerations A running, configured email server is required; however, the impact of the Integration Service sending emails is minimal.


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Unit 16 Lab: Load Product Weekly Aggregate Table Business Purpose The Mersche Motors data warehouse contains a number of aggregate tables. The management wants to be able to report on total sales for a product on a weekly basis. A weekly product sales aggregate table needs to be loaded for this purpose.

Technical Description The source for the weekly product aggregate table will be the daily product aggregate table. The mapping to load this table is located in the DEV_SHARED folder. A workflow needs to be created that will run the weekly aggregate load session after the daily aggregate load session has run 7 times. This can be accomplished using an assignment task, a decision task, link conditions and session tasks. A load date equal to the beginning day of the week will be used to provide the date key for the weekly aggregate table. The mapping to accomplish this has already been created and will need to be copied from the DEV_SHARED folder. It contains a mapping variable that will be incremented by 1 at the end of the session/mapping run.

Objectives ♦

Asg Workflow Variables

♦

Incrementing Workflow Variables using the Assignment Task

♦

Branching in a workflow using a Decision Task

♦

Using Link Conditions

Duration 35 Minutes

Unit 16 Lab: Load Product Weekly Aggregate Table Informatica PowerCenter 8 Level I Developer

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m_FACT_PRODUCT_AGG_WEEKLY_LOAD_xx

Source System

Oracle Tables

Target System

Oracle Table

Initial Rows

1390

Rows/Load

1390

Short Description

Load the weekly product aggregate table from the daily product aggregate table.

Load Frequency

Weekly

Preprocessing

Target Append


Default


PRODUCT_KEY, DEALERSHIP_ID, DATE_KEY


Schema/Owner

FACT_PRODUCT_AGG_DAILY

TDBUxx

Selection/Filter

TARGETS Tables

Schema Owner

TDBUxx

Table Name

Update

Delete

FACT_PRODUCT_AGG_WEEKLY

X

Insert

Unique Key

X

PRODUCT_KEY, DEALERSHIP_ID, DATE_KEY

HIGH LEVEL PROCESS OVERVIEW (WORKFLOW) Start Task

Session Task

Assignment Task

Decision Task

Session Task

Email Task

PROCESSING DESCRIPTION (DETAIL) A workflow variable will be defined and set to 0 for the start of the workflow. The first Session task runs the load to the daily product aggregate table. The Assignment task increments the workflow variable by 1. The Decision task uses the MOD function to divide the workflow variable by 7 and see if it returns a 0. If it returns a 0, the second Session task runs and loads the weekly aggregate table. If it returns a non zero value, then an Email task runs (the Email task only runs if the Integration Service is associated with a mail server). This workflow must be run 7 times, emulating a week, to the process works properly. 352


Instructions Step 1: Copy the Mappings 1.

in the Designer, copy the m_FACT_PRODUCT_AGG_DAILY_LOAD mapping and the m_FACT_PRODUCT_AGG_WEEKLY_LOAD mapping from the DEV_SHARED folder.

2.

Select Yes for any Target Dependencies.

3.

Select Skip or Reuse to resolve any conflicts.

4.

Rename the mappings to include your student number.

5.

Save your work.

Step 2: Copy the Existing Workflow 1.

In the Workflow Manager, copy the wkf_FACT_PRODUCT_AGG_WEEKLY_LOAD workflow from the DEV_SHARED folder.

2.

Resolve the conflict by selecting the m_FACT_PRODUCT_AGG_DAILY_LOAD_xx mapping.

3.

Drag the new workflow into the Workflow Designer.

4.

Edit the session and make the following changes: a.

Rename it to include your assigned student number.

b.

In the Properties tab.

c. 5.

i.

Change the $Target Connection Value to reflect your assigned student connection NATIVE_EDWxx.

ii.

Change the Session Log File Name to include your student number.

Change the source and target connections to reflect your assigned student connection, NATIVE_STGxx and NATIVE_EDWxx respectively.

Select the menu option Workflows > Edit. a.

Rename it to include your student number.

b.

In the Properties tab change the Workflow Log File Name to include your student number.

c.

In the Variables tab create a new workflow variable:

♦

Variable Name = $$WORKFLOW_RUNS Datatype = integer Persistent = checked Default Value = 0

♦ ♦ ♦


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Figure 16-1 shows the defined workflow variable: Figure 16-1. Workflow variable declaration

Step 3: Create the Assignment Task

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1.

Add an Assignment Task to the workflow.

2.

Link the s_m_FACT_PRODUCT_AGG_DAILY_LOAD_xx Session task to the Assignment task.

3.

Double click the link.


4.

Add a link condition to ensure that the assignment task only executes if the s_m_FACT_PRODUCT_AGG_DAILY_LOAD_xx Session task was successful. See Figure 16-2 for details. Figure 16-2. Link condition testing if a session run was successful

5.

Edit the Assignment task.

6.

Rename it to asgn_WORKFLOW_RUNS.

7.

In the Expressions tab, create an expression that increments the Defined Variable named $$WORKFLOW_RUNS by 1. See Figure 16-3 for details.

Figure 16-3. Assignment Task expression declaration

8.

Save your work.


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Step 4: Create the Decision Task 1.

Add a Decision task to the workflow.

2.

Link the asgn_WORKFLOW_RUNS Assignment task to the Decision task.

3.


4.

Add a link condition to ensure that the decision task only executes if the asgn_WORKFLOW_RUNS Assignment task was successful (refer to previous step).

5.

Edit the Decision task. a.

Rename it to dcn_RUN_WEEKLY.

b.

In the Properties tab. Create a Decision Name expression using the modulus function that checks to see if this is the seventh run of the workflow. This can be done by dividing the workflow variable by seven and checking to see if the remainder is 0. See Figure 16-4 for details.

Figure 16-4. Decision Task Expression

Tip: The decision task will evaluate the expression and return a value of either TRUE or FALSE. This can be checked in a link condition to determine the direction taken.

Step 5: Create the Session Task

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1.

Create a session task named s_m_FACT_PRODUCT_AGG_WEEKLY_LOAD_xx that uses the m_FACT_PRODUCT_AGG_WEEKLY_LOAD_xx mapping.

2.

Link the dcn_RUN_WEEKLY Decision task to the s_m_FACT_PRODUCT_AGG_WEEKLY_LOAD_xx session task.

3.



4.

Add a link condition that checks to see if the dcn_RUN_WEEKLY Decision task has returned a value of TRUE, meaning that it is time to load the weekly aggregate table. See Figure 16-5 for details. Figure 16-5. Link condition testing for a Decision Task condition of TRUE

5.

Edit the s_m_FACT_PRODUCT_AGG_WEEKLY_LOAD_xx session. a.

Set the relational connection value for the SQ_SC_FACT_PRODUCT_AGG_DAILY source to NATIVE_EDWxx, where xx is your student number.

b.

Set the relational connection value for the SC_FACT_PRODUCT_AGG_WEEKLY target to NATIVE_EDWxx, where xx is your student number.

c.

the Target load type is set to Normal.

d.

In the Properties tab set the Incremental Aggregation option to on.

Step 6: Create the Email Task 1.

Add an Email task to the workflow.

2.

Link the dcn_RUN_WEEKLY Decision task to the Email task.

3.

Double click the link. Add a link condition that checks to see if the dcn_RUN_WEEKLY Decision task has returned a value of FALSE, meaning that the daily load has completed and that it is NOT time to load the weekly aggregate table.

4.

Edit the Email task. a.

Rename it to eml_DAILY_LOAD_COMPLETE.


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b.

In the Properties tab. i.

Add [email protected] as the Email Name.

ii.

Add appropriate text for the Email Subject and Email Text. See Figure 16-6 for details.

Figure 16-6. Email Task Properties

5.

Right-click in the workspace and select Arrange > Horizontal.

6.

Save your work. Your workflow should appear the same as displayed in Figure 16-7. Figure 16-7. Completed Workflow

Step 7: Start the Workflow and Monitor the Results The workflow will need to be run seven times in order to see the weekly aggregate session running. 1.

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Start the workflow.


2.

Review the workflow in the Gantt view of the Workflow Monitor. It should appear similar to Figure 16-8. Figure 16-8. Gantt chart view of the completed workflow run

3.

Return to the Workflow Manager.

4.

Right-click the wkf_FACT_PRODUCT_AGG_WEEKLY_LOAD_xx workflow in the Navigator window and select View Persistent Values. The value should be set to 1. See Figure 16-9 and Figure 16-10. Figure 16-9. View Workflow Variables


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Note: Each time you run the workflow this value will increase by one. Figure 16-10. Value of the $$WORKFLOW_RUNS variable after first run

5.

Click Cancel to exit.

6.

Run the workflow six more times to emulate a week's normal runs and after the last run the Gantt Chart view should be similar to Figure 16-11. Figure 16-11. Gantt chart view of the completed workflow run after the weekly load runs

7.

Review the Task Details of the s_m_FACT_PRODUCT_AGG_WEEKLY_LOAD_xx session. Figure 16-12. Task Details of the completed session run

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Unit 17: More Tasks and Reusability In this unit you will learn about: ♦

Event Wait task

♦

Event Raise task

♦

Command task

♦

Reusable tasks

♦

Reusable Session task

♦

Reusable Session configuration

♦

pmcmd Utility

Lesson 17-1. Event Wait Task

Description Event Wait tasks wait for either the presence of a named flat file (pre-defined event) or some other defined event to occur in the workflow processing.

Unit 17: More Tasks and Reusability Informatica PowerCenter 8 Level I Developer

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For a predefined event, the task waits for the physical presence of a file in a directory local to the Integration Service process machine. This file is known as an indicator file. If the file does not exist, the Event Wait task will not complete. When the file is found, the Event Wait task completes and the workflow proceeds to subsequent tasks. The Event Wait task can optionally delete the indicator file once detected or the file can be deleted by a subsequent process. For a -defined event, the developer: 1.

Defines an event in the workflow properties (prior to workflow processing)

2.

Includes an Event Wait task at a suitable point in the workflow, where further processing must await some specific event.

3.

Includes an Event Raise task at a suitable point in the workflow, e.g. after a parallel pipeline has completed. The Event Raise task sets the event to active. (Event Raise task is described later).

This lesson examines the two types separately.

Pre-Defined Event Business Purpose An Event Wait task watching for a flat file by name is placed in a workflow because some subsequent processing is dependent on the presence of the file.

Example A Session task may be expecting to process a flat file as source data. Inserting a Pre-Defined Event Wait task containing the specific name and location of the flat file causes the workflow to proceed if the file is found. If not found, the workflow goes into a Wait status.

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Performance Considerations The only known consideration is the length of time the Integration Service may have to wait if the file does not arrive. This potential load window slowdown can be averted by proper workflow design which will provides alternatives in case a file does not arrive in a reasonable length of time. Refer to the Email task earlier in this section.

-Defined Event Business Purpose An Event Wait task waiting for the occurrence of a -defined event will be strategically placed such that the workflow should not proceed further unless a different but specific series of pre-determined tasks and conditions have occurred. It will always work in concert with an Event Raise task. Per the 3 steps mentioned above: the creates the workflow Event, the Event Raise triggers the Event (or sets it 'active') and the Event Wait task does not proceed to subsequent tasks until it detects that the specific Event was triggered.

Example A workflow may have 2 concurrent pipelines containing various tasks, in this order. Pipeline 1 contains S1 and S2; Pipeline 2 contains S3 and S4 and S5. S5 cannot run until S4 runs.

One way to ensure that S5 does not run unless S1 and S2 have run, is to create a workflow Event in the workflow properties, insert an Event Raise task after S2 that triggers (activates) the Event and place a -Defined Event Wait task after S4 to detect whether the Event has been triggered. If not, the workflow waits until it is triggered.

Performance Considerations The only known performance consideration is the length of time the Integration Service may have to wait if the Event is not raised. This potential load window slowdown can be averted by proper workflow design which will provides alternatives in case the Event does not occur within a reasonable length of time. (Refer to the Email and Timer tasks earlier in this section.)


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Lesson 17-2. Event Raise Task

Description Event Raise tasks are always used in conjunction with -Defined Event Wait tasks. They send a signal to an Event Wait task that a particular set of pre-determined events have occurred. A -defined event is defined as the completion of the tasks from the Start task to the Event Raise task. It is the same 3 step process previously mentioned: the developer defines an 'Event' in the workflow properties; the Event Raise task 'raises' the event at some point in the running workflow; an Event Wait task is placed at a different point in the workflow to determine if the Event has been raised.

Business Purpose This task allows signals to be ed from one spot in the workflow, to another that a particular series of pre-determined events have occurred.

Example This example is the same as the one in the Event Wait task section of this document. A workflow may have 2 concurrent pipelines containing various tasks, in this order. Pipeline 1 contains S1 and S2; Pipeline 2 contains S3 and S4 and S5. S5 cannot run until S4 runs.

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One way to ensure that S5 is not run unless S1 and S2 have run, is to create a workflow Event in the workflow properties, insert an Event Raise task after S2 that triggers (activates) the Event and place a -Defined Event Wait task after S4 to detect whether the Event has been triggered. If not, the workflow waits until it is triggered.

Performance Considerations As before, the only known performance consideration is the length of time the Integration Service may have to wait if the Event is not raised. This potential load window slowdown can be averted by proper workflow design which will provides alternatives in case the Event does not occur within a reasonable length of time. (Refer again to the Email and Timer tasks earlier in this section.)

Lesson 17-3. Command Task


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Description Command tasks are inserted in workflows and worklets to enable the Integration Service to run one or more OS commands of any nature. All commands or batch files referenced must be executable by the OS that owns the Integration Service process.

Business Purpose OS commands can be used for any operational or Business Unit related procedure and can be run at any point in a workflow. Command tasks can be set to run one or more OS commands or scripts/batch files, before proceeding to the next task in the workflow. If more than one command is coded into a Command task, the entire task can be set to fail if any one of the individual commands fails. Additionally and optionally, each individual command can be set not to run if a preceding command has failed.

Example A Session task that produces an output file could be followed by a Command task that copies the file to another directory or FTPs the file to another box location. The command syntax would be the same as the command syntax that would accomplish this at the OS command prompt on the Integration Service process machine. A Session task that is relying on a flat file data as its source data could be preceded by a Command task which contains a script that step-by-step verifies the presence of the file, opens it and verifies/compares control totals or record counts to some external source of information (again, any sequence of steps that could be accomplished at the OS level). A series of multiple concurrent or sequential Sessions in a workflow could all be followed by one Command task coded to copy (or move) all session logs created by the workflow to a special daily backup directory.

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Performance Considerations The only known consideration is the length of time the OS commands collectively take to run on the Integration Service process machine. This is not within the control of the Integration Service.

Lesson 17-4. Reusable Tasks

♦

Session, Email and Command tasks can be reusable.

♦

Use the Task Developer to create reusable tasks.

♦

Reusable tasks appear in the Navigator Tasks node and can be dragged and dropped into any workflow.

♦

In a workflow, a reusable task is indicated by a special symbol.

Lesson 17-5. Reusable Session Tasks A Session created directly in a workflow is a Non-reusable session; it is specific only to that workflow. A session created in the Task Developer workspace is reusable. An instance of a Reusable Session can be run in any workflow or worklet. Some of the properties of the session instance are customizable, workflow-byworkflow.

Business Purpose Occasionally, a certain mapping logic may be required to be run in multiple workflows. Since a mapping is a reusable object, the developer could code multiple sessions, all based on the same mapping. However, there is a simpler way to create 'like-sessions' that are all based on the same mapping - a Reusable Session. Once created in the Task Developer, an instance of the Reusable Session can be placed in any workflow or worklet.


369

Examples If the same mapping needs to be used a number of times and if a number of Session properties need to be changed in each of the uses of a session (e.g. - time-stamped logs, increased Line Sequential Buffer Length, special error handling), the changes could be made in the parent session and every time an instance of the session were placed in a workflow, the session would automatically take on all those customized properties. This results in less developer effort versus creating separate new sessions, each with multiple customized session properties. A business receives 25 data file sources for its 25 customers. The data structure of each customer is different enough that a different mapping is required for each, to get the data into one common format. Once data is structured the same, each needs to be subsequently run using common mapping logic to further transform the data in a like manner. If 25 output files were created, 25 instances of one Reusable Session could be used to process all data files. Each workflow would contain one customer-specific session/mapping and one instance of the Reusable Session, pre-coded with common session properties.

Performance Considerations It is recommended to use reusable session tasks sparingly because retrieving the metadata for a reusable session task and its child instances from the repository takes longer than retrieving the metadata for a non-reusable session task.

Lesson 17-6. Reusable Session Configurations

370

♦

Define session properties that can be reused by multiple sessions within a folder.

♦

Use Tasks - Session Configuration menu option or Tasks toolbar icon.

♦

Opens Session Config Browser where you set session properties.

♦

Invoke in Session tasks, in Config Object tab, Config Name box.

♦

Can override these session properties further down in the Config Object tab. Unit 17: More Tasks and Reusability Informatica PowerCenter 8 Level I Developer

Lesson 17-7. pmcmd Utility

Description The pmcmd command line utility allows the developer to perform most Workflow Manager operations outside of the PowerCenter Client tool.

Syntax Example pmcmd startworkflow -sv integrationservicename -u yourname -p your workflowname

This command will start the workflow located on the named Integration Service. You must supply the name and to sign in to the Integration Service, as well as the workflow name.


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Unit 18: Worklets and More Tasks In this unit you will learn: ♦

Worklets

♦

Timer task

♦

Control task

Lesson 18-1. Worklets

Description Worklets are optional processing objects inside workflows. They contain PowerCenter tasks that represent a particular grouping of, or functionally-related set of tasks. They can be created directly in a workflow (non-reusable) or from within the Workflow Designer (reusable).

Unit 18: Worklets and More Tasks Informatica PowerCenter 8 Level I Developer

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Business Purpose A workflow may contain dozens of tasks, whether they are concurrent or sequential. During workflow design they will be developed naturally into 'groupings' of meaningfully-related tasks, run in the appropriate operational order. The workflow can run as-is, from start to finish, executing task-by-task or the developer can place natural groupings of tasks into worklets. A worklet's relationship to a workflow is like a subroutine to a program or an applet to an application. Worklets can be used in a very large workflow to encapsulate the natural groupings of tasks.

Example This example is similar to the one in the Event Wait task section of this document. Workflow with individual tasks: A workflow may have 2 concurrent pipelines containing various tasks, in this order. Pipeline 1 contains S1 and S2; Pipeline 2 contains S3 and S4. S5 cannot run until all 4 sessions run.

Workflow converted to internal worklets: Worklet1 contains S1 and S2; Worklet2 contains S3 and S4; S5 will run after both worklets complete.


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Lesson 18-2. Timer Task

Description Timer tasks are used to keep track of the time an object of the workflow started. They can be based on: ♦

Absolute Time. The can specify the date and time to start the timer from.

♦

Datetime Variable. The can provide a variable that lets the Timer task know when to start the timer from.

♦

Relative Time. The Timer task can start the timer from the start time of the Timer task, the start time of the workflow or worklet, or from the start time of the parent workflow.

Business Purpose Business or operational processing specifications may require that a workflow run to a certain point then sit idle for a length of time or until a fixed physical point in time.

Example A workflow may contain sessions that should only run for a maximum amount of time. A Timer task can be set to wait for the maximum amount of time and then send an email or abort the workflow of the time limit is exceeded. The Timer task could be set to execute one hour after the start of the workflow.

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Performance Considerations There are no real performance considerations for the timer task.

Lesson 18-3. Control Task

Description Control tasks are used to alter the normal processing of a workflow. They can stop, abort or fail any workflow or worklet.


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Control Options

Business Purpose When error condition exists, operational staff may prefer that a workflow or worklet simply stop, abort or fail rather than be emailed that an error exists.

Example As with the example in the Pre-Defined Event (Event Wait task section) a workflow may have a session which is expecting a flat file for source data. If the file does not arrive within one hour after the workflow start time, the desired action may be to fail the workflow. A workflow may have a session that runs through to a successful processing conclusion but could contain data row errors. A Control task could be placed subsequent to the session, with conditions set to stop, abort or fail the workflow (and use an Email task to notify someone of the issue).

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Unit 18 Lab: Load Inventory Fact Table Business Purpose The Inventory fact table load runs directly after the Inventory staging table load. Sometimes the Inventory staging table load runs longer than is acceptable and delays the rest of the process. An email needs to be sent to the if the staging load takes longer than 1 hour. The whole process needs to continue running even if the load takes longer than 1 hour.

Technical Description The team has suggested that a worklet be created that controls the loading of the staging table. This worklet will contain the staging load session task, a Timer task to keep track of the run time, an Email task to inform the should the load take longer than 1 hour and a Control task to stop the worklet if the Session task finishes in less than 1 hour. A workflow will be created that contains the worklet and then runs the fact load after the worklet has completed.

Objectives ♦

Create a Worklet

♦

Create a Timer task

♦

Create a Control task

♦

Create an Email task

♦

Use a Worklet within a Workflow

Duration 25 minutes

HIGH LEVEL PROCESS OVERVIEW (WORKLET) Timer Task

Email Task

Session Task

Control Task

Start Task

HIGH LEVEL PROCESS OVERVIEW (WORKFLOW)

Start Task

Unit 18 Lab: Load Inventory Fact Table Informatica PowerCenter 8 Level I Developer

Worklet

Session Task

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PROCESSING DESCRIPTION (DETAIL) Worklet: The top flow runs a Timer task that sets the timer to 1 hour from the beginning of the start of the task. This is followed by an email task to send an email to the if the timer task executes. The bottom flow runs the staging load Session task followed by a control task. When the session finishes the control task will stop the parent (worklet), this is turn stops the timer task and causes the email task not to run. The worklet will still complete successfully. Workflow: The workflow runs the worklet and then the fact load Session task.

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Instructions Step 1: Copy the Mappings 1.

Copy the m_STG_INVENTORY_LOAD and the m_FACT_INVENTORY_LOAD mappings from the DEV_SHARED folder.

2.

Rename them m_STG_INVENTORY_LOAD_xx and m_FACT_INVENTORY_LOAD_xx.

3.

Save your work.

Step 2: Create a Worklet 1.


2.

Open the Worklet Designer workspace.

3.

Select the menu option Worklets Create.

4.

Delete the default Worklet name and enter wklt_STG_INVENTORY_LOAD_xx.

Velocity Best Practice: The wklt_ as a prefix for a Worklet name is specified in the Informatica Velocity

Methodology.

Step 3: Create a Session Task 1.

Create a Session task named s_m_STG_INVENTORY_LOAD_xx that uses the m_STG_INVENTORY_LOAD_xx mapping.

2.

Edit the s_m_STG_INVENTORY_LOAD_xx session. a.

Ensure that the filename for the SQ_inventory flat file source is set to inventory.txt.

b.

Set the relational connection value for the STG_INVENTORY target to NATIVE_STGxx where xx is your student number.

c.

Set the Target truncate table option to on.

d.

In the General tab. Select the Fail parent if this task fails check box.

3.

Link the Start task to the s_m_STG_INVENTORY_LOAD_xx Session task.

Step 4: Create a Timer Task 1.

Add a Timer task to the worklet.


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2.

Edit the Timer task. a.

Rename the task tim_MAX_RUN_TIME.

Velocity Best Practice: The tim_ as a prefix for a Timer task name is specified in the Informatica

Velocity Methodology. b.

In the Timer tab. Set the Relative time to start after 1 hour from the start time of this task. See Figure 18-1 for details. Figure 18-1. Timer Task Relative time setting

3.

Link the Start task to the tim_MAX_RUN_TIME Timer task.

4.

Save your work.

Step 5: Create an Email Task 1.

Add an Email task to the worklet.

2.

Edit the Email task. a.

Rename the task eml_MAX_RUN_TIME_EXCEEDED.

Velocity Best Practice: The eml_ as a prefix for an Email task name is specified in the Informatica Velocity Methodology.

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b.

In the Properties tab: i.

Enter [email protected] as the Email Name.

ii.

Enter Session s_m_STG_INVENTORY_LOAD_xx exceeded max time allotted as the Email Subject.

iii.

Enter something appropriate for the Email Text.

See Figure 18-2 for details. Figure 18-2. Email Task Properties Tab

3.

Link the tim_MAX_RUN_TIME Timer task to the eml_MAX_RUN_TIME_EXCEEDED Email task.

4.

Save your work.

Step 6: Create a Control Task 1.

Add a Control task to the worklet.

2.

Edit the Control task. a.

Rename the task ctl_STOP_TIMEOUT.

Velocity Best Practice: The ctl_ as a prefix for a Control task name is specified in the Informatica Velocity Methodology. b.

In the Properties tab.


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c.

Select Stop parent for the Control Option Value. See Figure 18-3 for details. Figure 18-3. Control Task Properties Tab

3.

Link the s_m_STG_INVENTORY_LOAD_xx Session task to the ctl_STOP_TIMEOUT Control task.

4.

Save your work.

5.

Right Click anywhere in the Worklet workspace and select Arrange>Horizontal. Your Worklet should appear the same as displayed on Figure 18-4. Figure 18-4. Completed Worklet

Step 7: Create the Workflow

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1.

Create a workflow named wkf_FACT_INVENTORY_LOAD_xx.

2.

Drag the wklt_STG_INVENTORY_LOAD_xx Worklet from the Worklets folder in the Navigator Window into the workflow.


3.

Link the Start task to the wklt_STG_INVENTORY_LOAD_xx worklet.

4.

Create a session task named s_m_FACT_INVENTORY_LOAD_xx that uses the m_FACT_INVENTORY_LOAD_xx mapping.

5.

Edit the s_m_FACT_INVENTORY_LOAD_xx session: a.

Set the relational connection value for the SQ_STG_INVENTORY source to NATIVE_STGxx where xx is your student number.

b.

Set the relational connection value for the FACT_INVENTORY target to NATIVE_EDWxx where xx is your student number.

c.

Set the Target load type to Normal.

6.

Link the wklt_STG_INVENTORY_LOAD_xx worklet to the s_m_FACT_INVENTORY_LOAD_xx Session task.

7.

Add a link condition to ensure that the Session task only executes if the wklt_STG_INVENTORY_LOAD_xx Worklet did not fail. Hint: worklet status != FAILED. Your Workflow should appear the same as displayed on Figure 18-5. Figure 18-5. Completed Workflow

Step 8: Start the Workflow and Monitor the Results 1.

Start the workflow.

2.

Review the workflow in the Gantt Chart view of the Workflow Monitor. When completed it should appear similar to Figure 18-6. Figure 18-6. Gantt chart view of the completed workflow run


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Unit 19: Workflow Design In this unit you will learn about: ♦

Deg workflows

♦

The workshop will give you practice in deg your own workflow.

Lesson 19-1. Deg Workflows Description This is designed to provide the a checklist of topics to entertain during the workflow development process. This document will cover a variety of situations s will have to address and help them ask the right questions before and during the design process.

Considerations The workflow process requires some up front research. Before deg a workflow, it is important to have a clear picture of the task-to-task processes. ♦

Design a high-level view of the workflow and document the process within the workflow, using a textual description to explain exactly what the workflow is supposed to accomplish and the methods or steps it will follow to accomplish its goal.

♦

The load development process involves the following steps: ♦

♦

Clearly define and document all dependencies ♦ Analyze the processing resources available ♦ Develop operational requirement ♦ Develop tasks, worklets and workflows based on the results Create an inventory of Worklets and Reusable tasks. This list is a 'work in progress' list and will have to be continually updated as the project moves forward. The lists are valuable to all but particularly for the lead developer. Making an up front decision to make all Session, Email and Command tasks reusable will make this easier.

♦

The or lead developer should put together a list of database connections to be used for Source and Target connection values.

♦

Reusable tasks need to be properly documented to make it easier for other developers to determine if they can/should use them in their own development.

♦

If the volume of data is sufficiently low for the available hardware to handle, you may consider volume analysis optional, developing the load process solely on the dependency analysis. Also, if the hardware is not adequate to run the sessions concurrently, you will need to prioritize them. The highest priority within a group is usually assigned to sessions with the most child dependencies.

♦

Another possible component to add into the load process is sending e-mail. Three e-mail options are available for notification during the load process: ♦

♦

Post-session e-mails can be sent after a session completes successfully or when it fails ♦ E-mail tasks can be placed in workflows before or after an event or series of events ♦ E-mails can be sent when workflows are suspended Document any other information about the workflow that is likely to be helpful in developing the workflow. Helpful information may, for example, include source and target database connection

Unit 19: Workflow Design Informatica PowerCenter 8 Level I Developer

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information, pre or post workflow processing requirements, and any information about specific error handling for the workflow. ♦

Create a Load Dependency Analysis. This should list all sessions by dependency, along with all other events (Informatica or other) that they depend on. Also be sure to specify the dependency relationship between each session or event, the algorithm or logic needed to test the dependency condition during execution, and the impact of any possible dependency test results (e.g., don't run a session, fail a session, fail a parent or worklet, etc.)

♦

Create a Load Volume Analysis. This should list all the sources and row counts and row widths expected for each session. This should include all Lookup transformations in addition to the extract sources. The amount of data that is read to initialize a lookup cache can materially affect the initialization and total execution time of a session.

♦

The completed workflow design should then be reviewed with one or more team for completeness and adherence to the business requirements. And, the design document should be updated if the business rules change or if more information is gathered during the build process.

Workflow Overview Command Task

Session Task 1 Start Task

Decision Task Session Task 2

Control Task Email Task

Workflow Specifics The following are tips that will make the workflow development process more efficient (not in any particular order): ♦

If developing a sequential workflow, use the Workflow Wizard to create Sessions in sequence. There is also the option to create dependencies between the sessions

♦

Use a parameter file to define the values for parameters and variables used in a workflow, worklet, mapping, or session. A parameter file can be created by using a text editor such as WordPad or Notepad. List the parameters or variables and their values in the parameter file. Parameter files can contain the following types of parameters and variables: ♦

♦

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Workflow variables ♦ Worklet variables ♦ Session parameters ♦ Mapping parameters and variables When using parameters or variables in a workflow, worklet, mapping, or session, the Integration Service checks the parameter file to determine the start value of the parameter or variable. Use a parameter file to initialize workflow variables, worklet variables, mapping parameters, and mapping variables. If not defining start values for these parameters and variables, the Integration Service checks for the start value of the parameter or variable in other places. Unit 19: Workflow Design Informatica PowerCenter 8 Level I Developer

♦

Session parameters must be defined in a parameter file. Since session parameters do not have default values, when the Integration Service cannot locate the value of a session parameter in the parameter file, it fails to initialize the session. To include parameter or variable information for more than one workflow, worklet, or session in a single parameter file, create separate sections for each object within the parameter file.

♦

Also, create multiple parameter files for a single workflow, worklet, or session and change the file that these tasks use, as necessary. To specify the parameter file that the Integration Service uses with a workflow, worklet, or session, do either of the following: ♦

♦

Enter the parameter file name and directory in the workflow, worklet, or session properties. ♦ Start the workflow, worklet, or session using pmcmd and enter the parameter filename and directory in the command line. On hardware systems that are under-utilized, you may be able to improve performance by processing partitioned data sets in parallel in multiple threads of the same session instance running on the Integration Service node. However, parallel execution may impair performance on over-utilized systems or systems with smaller I/O capacity

♦

Incremental aggregation is useful for applying captured changes in the source to aggregate calculations in a session. If the source changes only incrementally, and you can capture changes, you can configure the session to process only those changes. This allows the Integration Service to update your target incrementally, rather than forcing it to process the entire source and recalculate the same calculations each time you run the session.

♦

Target Load Based Strategies: ♦

♦

Loading directly into the target is possible when the data is going to be bulk loaded. ♦ Load into flat files and bulk load using an external loader. ♦ Load into a mirror database. From the Workflow Manager Tools menu, select Options and select the option to 'Show full names of task'. This will show the entire name of all tasks in the workflow.


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Unit 19 Workshop: Load All Staging Tables in Single Workflow Business Purpose All of the staging tables need to be loaded in a single workflow.

Technical Description The instructions will provide enough detail for you design and build the workflow that will load all of the staging tables in a single run. If you are unclear on any of the instructions please ask the instructor.

Objectives ♦

Design and create a workflow to load all of the staging tables

Duration 60 minutes

Workshop Details Mappings Required This section contains a list of the mappings that will be used in the workflow. ♦

m_Stage_Payment_Type

♦

m_Stage_Product

♦

m_Dealership_Promotions

♦

m_Stage_Customer_s

♦

m_STG_TRANSACTIONS

♦

m_STG_EMPLOYEES

Workflow/Worklet Details This section contains the workflow processing details. 1.

Name the workflow wkf_LOAD_ALL_STAGING_TABLES. The workflow needs to start at a certain time each day. For this workshop you can set the start time to be a couple of minutes from the time you complete the workflow. that the start time is relative to the time on the Integration Service process machine.

2.

No sessions can begin until an indicator file shows up. The indicator file will be named fileindxx.txt and will be created by you using any text editor. You will need to place this file in the directory indicated by the instructor after you start the workflow. If you are in a UNIX environment you may skip this requirement.

3.

In order to utilize the U’s in a more efficient manner you will want to run some of the sessions concurrently and some of them sequentially: a.

The sessions containing mappings m_Stage_Payment_Type, m_Stage_Product and m_Dealership_Promotions can be run sequentially.

b.

The session containing mapping m_Stage_Customer_s can be run concurrently to the sessions in the previous bullet point.


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c.

If any of the previous sessions fails then an email should be sent to the and the workflow aborted. Use [email protected] as the Email Name.

d.

The session containing mapping m_STG_EMPLOYEES can only be run after the 4 previously mentioned sessions complete successfully.

e.

The session containing mapping m_STG_TRANSACTIONS needs to be run concurrently to the m_STG_EMPLOYEES.

f.

If either of the previous sessions fails an email should be sent to the .

4.

All sessions need to truncate the target tables. You may want to create reusable sessions from previously created workflows.

5.

The management only wants the workflow to run a maximum of 50 minutes. Should the workflow take longer than the 50 minutes an email must be sent to the . Should the workflow finish in the allotted time the timer task will need to be stopped.

There is more than one solution to the workshop. You will know that your solution has worked when all of the sessions have completed successfully.

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Unit 20: Beyond This Course

Note: For more information on PowerCenter training, see http://www.informatica.com/services/ education_services

Unit 20: Beyond This Course Informatica PowerCenter 8 Level I Developer

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Note: For more information and to to take an exam, see http://www.informatica.com/services/ education_services/certification/default.htm

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Unit 20: Beyond This Course Informatica PowerCenter 8 Level I Developer

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