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

Dynamic cache updates

Dynamic cache updates

When the
mapping
task reads a row, it changes the lookup cache depending on the results of the lookup query and the Lookup transformation properties that you define. The
mapping
task assigns a value to the NewLookupRow return field that indicates the action it takes.
The following table lists the possible NewLookupRow values:
NewLookupRow Value
Description
0
Mapping
task does not update or insert the row in the cache.
1
Mapping
task inserts the row into the cache.
2
Mapping
task updates the row in the cache.
You can use the NewLookupRow values in downstream transformations.