Table of Contents

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

Transformations

Transformations

Join type

Join type

The join type determines the result set that passes to the rest of the mapping.
You can use the following join types:
Normal Join
Includes rows with matching join conditions. Discards rows that do not match the join conditions.
Master Outer
Includes all rows from the detail pipeline and the matching rows from the master pipeline. It discards the unmatched rows from the master pipeline.
Detail Outer
Includes all rows from the master pipeline and the matching rows from the detail pipeline. It discards the unmatched rows from the detail pipeline.
Full Outer
Includes rows with matching join conditions and all incoming data from the master pipeline and detail pipeline.