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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Expression transformation
  7. Filter transformation
  8. Input transformation
  9. Joiner transformation
  10. Lookup transformation
  11. Mapplet transformation
  12. Normalizer transformation
  13. Output transformation
  14. Rank transformation
  15. Router transformation
  16. Sequence transformation
  17. Sorter transformation
  18. SQL transformation
  19. Union 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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