Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. Web Services transformation

Transformations

Transformations

Group by fields

Group by fields

In advanced mode, you can use group by fields to define how to group data into partitions before the Java code runs.
When you configure a group by field, the
mapping
task groups rows with the same data into a partition. Then, the Java code runs for each partition in the transformation. For example, the input row behavior is processed for each partition and each row in the partition, and the end of data behavior is processed for each partition after processing all rows in the partition.
When you select more than one group by field, the task creates a partition for each unique combination of data in the group by fields.
If you do not configure a group by field, the Java code runs based on the data's default partitioning scheme.
If you use a parameter for the group by fields, define the group by fields when you run the mapping or when you configure the
mapping
task.

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