Table of Contents


  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

Sorter Transformation on the Databricks Spark Engine

Sorter Transformation on the Databricks Spark Engine

Some processing rules for the Databricks Spark engine differ from the processing rules for the Data Integration Service.

Mapping Validation

Mapping validation fails when case sensitivity is disabled.
The Data Integration Service logs a warning and ignores the Sorter transformation in the following situations:
  • There is a type mismatch in between the target and the Sorter transformation sort keys.
  • The transformation contains sort keys that are not connected to the target.
  • The Write transformation is not configured to maintain row order.
  • The transformation is not directly upstream from the Write transformation.

Null Values

The Data Integration Service treats null values as low even if you configure the transformation to treat null values as high.

Data Cache Optimization

You cannot optimize the sorter cache to store data using variable length.

Parallel Sorting

The Data Integration Service enables parallel sorting with the following restrictions:
  • The mapping does not include another transformation between the Sorter transformation and the target.
  • The data type of the sort keys does not change between the Sorter transformation and the target.
  • Each sort key in the Sorter transformation must be linked to a column in the target.


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