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

Aggregator and Update Strategy Transformations

Aggregator and Update Strategy Transformations

When you connect Aggregator and Update Strategy transformations as part of the same pipeline, put the Aggregator before the Update Strategy transformation. In this order, the Data Integration Service performs the aggregate calculation, and then flags rows that contain the results of this calculation for insert, update, delete, or reject.
If you put the Update Strategy before the Aggregator transformation, you must consider how the Aggregator transformation handles rows flagged for different operations. In this order, the Data Integration Service flag rows for insert, update, delete, or reject before it performs the aggregate calculation. How you flag a row determines how the Aggregator transformation treats values in that row used in the calculation. For example, if you flag a row for delete and then use the row to calculate the sum, the Data Integration Service subtracts the value in this row. If you flag a row for reject and then use the row to calculate the sum, the Data Integration Service does not include the value in this row. If you flag a row for insert or update and then use the row to calculate the sum, the Data Integration Service adds the value in this row to the sum.

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