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

Auto Cache Size

Auto Cache Size

By default, a transformation cache size is set to Auto. The Data Integration Service automatically calculates the cache memory requirements at run time. You define the maximum amount of memory that the service can allocate.
The Data Integration Service uses the following guidelines to automatically allocate the memory:
Allocates more memory to transformations with higher processing times.
The Data Integration Service allocates more memory to transformations that typically have higher processing times. For example, the Data Integration Service allocates more memory to the Sorter transformation because the Sorter transformation typically takes longer to run.
Allocates more memory to the data cache than to the index cache.
Aggregator, Joiner, Lookup, and Rank transformations require an index cache and a data cache. When the Data Integration Service divides the memory allocated for the transformation across the index and data cache, it allocates more memory to the data cache.
Sorter transformations require a single cache. The service allocates all of the memory allocated for the transformation to the Sorter cache.

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