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

Aggregate Functions

Aggregate Functions

Configure aggregate functions within an Aggregator transformation. You can nest one aggregate function within another aggregate function.
The transformation language includes the following aggregate functions:
  • AVG
  • COUNT
  • FIRST
  • LAST
  • MAX
  • MEDIAN
  • MIN
  • PERCENTILE
  • STDDEV
  • SUM
  • VARIANCE
If you use a port in an expression in the Aggregator transformation but you do not use the port within an aggregate function, the Data Integration Service uses the last row in the port to process the expression.
For example, you create an Aggregator transformation that contains the ports
COMMISSIONS
and
SALARY
. The port
SALARY
is a group-by port.
You might use the following expression in an output port:
SUM(COMMISSIONS)
The Data Integration Service processes the Aggregator function and returns the sum of the values in the port
COMMISSIONS
in the output port.
You might modify the expression to the following expression:
SUM(COMMISSIONS) + COMMISSIONS
To process the expression, the Data Integration Service returns the sum of the values in the port
COMMISSIONS
and adds the value of the last row in the port
COMMISSIONS
to the return value in the output port.
For a different output port, you might use the following expression:
SUM(COMMISSIONS) + SALARY
To process the expression, the Data Integration Service returns the sum of the values in the port
COMMISSIONS
and adds the value in the last row of the port
SALARY
to the return value in the output port. Note that the values in each row of the port
SALARY
are the same because the
SALARY
port is a group-by port.

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