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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Dynamic Lookup Cache Updates

Dynamic Lookup Cache Updates

The Integration Service updates the dynamic cache based on the row type, query result, and the Lookup transformation properties.
When you use a dynamic lookup cache, define the row type of the rows entering the Lookup transformation as either insert or update. You can define some rows as insert and some as update, or all insert, or all update. By default, the row type of all rows entering a Lookup transformation is insert. You can add an Update Strategy transformation before the Lookup transformation to define the row type as update.
The Integration Service either inserts or updates rows in the cache, or does not change the cache. By default, the Lookup transformation inserts a row in the cache when the row type is insert, and updates a row when the row type is update.
However, you can configure the following Lookup properties to change how the Integration Service handles inserts and updates to the cache:
  • Insert Else Update
    . Applies to rows entering the Lookup transformation where the row type is insert. Use this option to update the row in the cache if the data already exists in the cache. If you do not enable this option, the Integration Service inserts the rows into the cache regardless if they exist.
  • Update Else Insert
    . Applies to rows entering the Lookup transformation where the row type is update. Use this option to insert an update row if the data does not exist in the cache. If you do not enable this option, the Integration Service ignores the row if it does not exist in the cache.
You can select either the Insert Else Update or Update Else Insert property, or you can select both properties or neither property.
You can configure the Lookup transformation to synchronize the Lookup source and the dynamic cache. When you synchronize the Lookup source and the cache, the Lookup transformation inserts rows directly in the Lookup source. You do not pass insert rows to the target. Use this configuration to run multiple sessions with Lookup transformations that insert rows to the same target.

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