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

Joiner transformation

Joiner transformation

The Joiner transformation can join data from two related heterogeneous sources. For example, you can use the Joiner transformation to join account information from flat files with data from the Salesforce Account object.
The Joiner transformation joins data based on the join conditions and the join type. A join condition matches fields between the two sources. You can create multiple join conditions. A join type defines the set of data that is included in the results.
When you link a transformation to the Joiner transformation, you connect it to the Master or Detail group. To improve job performance, connect the transformation that represents the smaller data set to the Master group.
To join more than two sources in a mapping, you can use multiple Joiner transformations. You can join the output from the Joiner transformation with another source pipeline. You can add Joiner transformations to the mapping until you join all source pipelines.
Field name conflicts can occur when you join sources with matching field names. You can resolve the conflict in one of the following ways:
  • Create a field name conflict resolution.
  • Rename matching fields in an upstream transformation.
  • Pass data through an Expression transformation to rename fields.
To use the Joiner transformation, you need the appropriate license.