Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Informatica Data Quality 10.5
  • All Products

Table of Contents

Search

  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Creating an Unconnected Lookup Transformation

Creating an Unconnected Lookup Transformation

Create an unconnected Lookup transformation when you want to perform a lookup from an expression. You can create a reusable or a non-reusable unconnected Lookup transformation on a flat file, reference table, or relational data object.
  1. Select a project or folder in the
    Object Explorer
     view.
  2. Click
    File
    New
    Transformation
    .
  3. Browse to the Lookup wizard.
  4. Select
    Flat File Data Object Lookup
    ,
    Reference Table Lookup
    , or
    Relational Data Object Lookup
    .
  5. Click
    Next
    .
    The
    New Lookup
     dialog box appears.
  6. Select a physical data object or reference table in the Developer tool.
  7. Enter a name for the transformation.
  8. In the
    On multiple matches
     dropdown, choose the strategy to use when the Lookup transformation finds multiple rows that match the lookup condition.
    Do not choose
    Return All
     for an unconnected lookup.
  9. Click
    Finish
    .
    The Lookup transformation appears in the editor.
  10. In the
    Ports
     section in the
    Overview
     view, add ports to the transformation.
    Create an input port for each argument in the :LKP expression. Create an input port for each lookup condition that you create. You can use an input port in multiple conditions.
  11. In the
    Ports
     section in the
    Overview
     view, configure one port as the return port.
  12. In the
    Lookup
     view, add one or more lookup conditions to compare the transformation input values with values in the lookup source or cache.
    When the condition is true, the lookup returns a value in the return port. If the lookup condition is false, the lookup returns NULL.
  13. Create a :LKP expression for a port in a transformation that allows expressions, such as an Aggregator transformation, Expression transformation, or Update Strategy transformation.
  14. When you create a mapping, add the unconnected Lookup transformation to the mapping in the editor, but do not connect the ports to the other transformations in the mapping.
0 COMMENTS
We’d like to hear from you!