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

Shared Lookup Cache

Shared Lookup Cache

A shared lookup cache is a static lookup cache that is shared by multiple Lookup transformations in a mapping. Use a shared lookup cache to decrease the amount of time required to build the cache.
By default, the Integration Service shares the cache for Lookup transformations in a mapping that have compatible caching structures. For example, if a mapping contains two instances of the same reusable Lookup transformation in one mapping and you use the same output ports for both instances, the Lookup transformations share the lookup cache by default.
The Integration Service builds the cache when it processes the first Lookup transformation. It uses the same cache to process subsequent Lookup transformations that share the cache. When the Integration Service shares a lookup cache, it writes a message in the Integration Service log.
The Integration Service allocates data cache memory and index cache memory for the first Lookup transformation. It does not allocate additional memory for subsequent Lookup transformations that share the lookup cache.
If the transformation or the cache structure do not allow sharing, the Integration Service creates a new cache.

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