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

Sorted Input for an Aggregator Transformation

Sorted Input for an Aggregator Transformation

You can increase Aggregator transformation performance with the sorted input option.
When you use sorted input, the Data Integration Service assumes all data is sorted by group and it performs aggregate calculations as it reads rows for a group. When required, the Data Integration Service stores group information in memory. To use the Sorted Input option, you must pass sorted data to the Aggregator transformation. If you use sorted input, the Aggregator transformation provides sorted output.
When you do not use sorted input, the Data Integration Service performs aggregate calculations as it reads. Because the data is not sorted, the Data Integration Service stores data for each group until it reads the entire source to ensure that all aggregate calculations are accurate.
For example, one Aggregator transformation has the STORE_ID and ITEM group by ports, with the sorted input option selected. When you pass the following data through the Aggregator, the Data Integration Service performs an aggregation for the three rows in the 101/battery group when it finds the group 201/battery:
STORE_ID
ITEM
QTY
PRICE
101
'battery'
3
2.99
101
'battery'
1
3.19
101
'battery'
2
2.59
201
'battery'
4
1.59
201
'battery'
1
1.99
If you use sorted input and do not presort data correctly, the Data Integration Service fails the mapping run.

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