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. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Update columns for relational targets

Update columns for relational targets

You can configure one or more fields as update columns in relational targets. Update columns are columns that uniquely identify rows in the target table. The mapping task uses them to update, upsert, or delete data in the target.
Configure update columns when the target table does not contain a primary key and the mapping uses an update, upsert, or delete operation. When you select more than one update column, the mapping uses the AND operator with the update columns to identify matching rows.
When you run the mapping, it uses the field mapping to match rows in the upstream transformations to the target table. If the
mapping
task matches an incoming row to multiple target rows, it performs the specified task operation on all matched target rows.
When you use a parameter for the target connection or target object, you can configure update columns in the
mapping
task.

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