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

Rules and Guidelines for Sharing a Lookup Cache

Rules and Guidelines for Sharing a Lookup Cache

Consider the following rules and guidelines when you share a lookup cache:
  • You can share one or more static caches with a dynamic lookup. If a dynamic lookup shares the cache with a static lookup in the same mapping, the static lookup reuses the cache created by the dynamic lookup.
  • You cannot share a cache between dynamic lookups.
  • If you configure multiple Lookup transformations to rebuild a persistent lookup cache, the Integration Service builds the cache for the first Lookup transformation, and then shares the persistent lookup cache for the subsequent Lookup transformations.
  • If you do not configure the first Lookup transformation to rebuild a persistent lookup cache, but you configure a subsequent Lookup transformation to rebuild the cache, the transformations cannot share the cache. The Integration Service builds the cache when it processes each Lookup transformation.
  • The lookup/output ports for subsequent Lookup transformations must match or be a subset of the ports in the Lookup transformation that the Integration Service uses to build the cache. The order of the ports do not need to match.
  • Lookup transformations that share the cache must have the following characteristics:
    • The Lookup transformations must use the same ports in the lookup condition.
    • The Lookup transformations must use the same SQL override if one is used.
    • Lookup caching must be enabled in all Lookup transformations.
    • The Lookup transformations must use the same type of lookup source.
    • All relational Lookup transformations must use the same database connection.
    • The Lookup transformations must use the same lookup table name.
    • The structure of the cache for all Lookup transformations must be compatible.

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