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. 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

Mapping Configuration for a Dynamic Lookup Cache

Mapping Configuration for a Dynamic Lookup Cache

If you use a Lookup with a dynamic cache, you must configure the mapping to update the dynamic lookup cache and write the changed rows to the target.
Complete the following steps to configure a mapping with a dynamic lookup cache:
Flag the input rows of the Lookup transformation for insert or update.
By default, the row type of all input rows is insert. Add an Update Strategy transformation before the Lookup transformation to specify different row types for the input rows.
Specify how the Integration Service handles the input rows for the dynamic cache.
Select the
Insert Else Update
or
Update Else Insert
options to process rows flagged for insert or update.
Create separate mapping pipelines for rows to be inserted into the target and updated in the target.
Add a Filter or Router transformation after the Lookup transformation to route insert and update rows into separate mapping branches. Use the value of the NewLookupRow to determine the appropriate branch for each row.
Configure the row type for output rows of the Lookup transformation.
Add an Update Strategy transformation to flag rows for insert or update.

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