Table of Contents

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  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. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Lookup Transformations in Dynamic Mappings

Lookup Transformations in Dynamic Mappings

You can use a Lookup transformation in a dynamic mapping. You can configure dynamic ports to receive and return different ports based on the source data. You can parameterize the lookup source and the lookup condition to perform a lookup based on the different ports.
A dynamic mapping is a mapping in which the sources, targets, and transformation logic can change at run time. You can set parameters and rules to change the structure of the data. When you use a Lookup transformation in a dynamic mapping, the input ports of the Lookup transformation might change based on the source data. The structure of the lookup source and the ports in the lookup condition might change.
When the Lookup transformation contains a dynamic port or a parameterized lookup source, you cannot persist the lookup cache. You also cannot configure a dynamic cache.
You can perform the following tasks for a Lookup transformation to use the transformation in a dynamic mapping:
Define dynamic ports
Define dynamic ports and generated ports to accommodate changes to the input columns.
Parameterize the lookup source
Assign a parameter for the data object that defines the lookup source. You can parameterize the lookup source in a nonreusable Lookup transformation.
Define port selectors
Define a port selector that specifies the ports to use in the lookup condition. You can parameterize the port selector ports in a nonreusable Lookup transformation.
Parameterize the lookup condition
Create an expression parameter and define a default value that contains a complete expression.
For more information about dynamic mappings, see the
Informatica Developer Mapping Guide
.

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