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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Troubleshooting Aggregator Transformations

Troubleshooting Aggregator Transformations

I selected sorted input but the workflow takes the same amount of time as before.
You cannot use sorted input if any of the following conditions are true:
  • The aggregate expression contains nested aggregate functions.
  • The session uses incremental aggregation.
  • Source data is data driven.
When any of these conditions are true, the Integration Service processes the transformation as if you do not use sorted input.
A session using an Aggregator transformation causes slow performance.
The Integration Service may be paging to disk during the workflow. You can increase session performance by increasing the index and data cache sizes in the transformation properties.
I entered an override cache directory in the Aggregator transformation, but the Integration Service saves the session incremental aggregation files somewhere else.
You can override the transformation cache directory on a session level. The Integration Service notes the cache directory in the session log. You can also check the session properties for an override cache directory.

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