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

Example of a Join Condition and Sort Order

Example of a Join Condition and Sort Order

This example shows a Joiner transformation that join the master and detail pipelines with sorted ports.
You configure Sorter transformations in the master and detail pipelines with the following sorted ports:
  • ITEM_NO
  • ITEM_NAME
  • PRICE
When you configure the join condition, use the following guidelines to maintain sort order:
  • You must use ITEM_NO in the first join condition.
  • If you add a second join condition, you must use ITEM_NAME.
  • If you want to use PRICE in a join condition, you must also use ITEM_NAME in the second join condition.
If you skip ITEM_NAME and join on ITEM_NO and PRICE, you lose the sort order and the Data Integration Service fails the mapping run.
The following figure shows a mapping configured to sort and join on the ports ITEM_NO, ITEM_NAME, and PRICE:
The mapping shows a Sorter transformation in the master pipeline called Sort_Products, a Sorter transformation in the detail pipeline, and a Joiner transformation. Sort_Products has ports ITEM_NO, ITEM_NAME, PRICE, and PRODUCT_CATEGORY. The Sorter transformation in the detail pipeline has ports ITEM_NO, ITEM_NAME, PRICE, and QUANTITY.
When you use the Joiner transformation to join the master and detail pipelines, you can configure any one of the following join conditions:
ITEM_NO = ITEM_NO
or
ITEM_NO = ITEM_NO1 ITEM_NAME = ITEM_NAME1
or
ITEM_NO = ITEM_NO1 ITEM_NAME = ITEM_NAME1 PRICE = PRICE1

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