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

Database targets created at run time

Database targets created at run time

If a mapping includes a database target, you can select an existing target table or create the target table at run time. When you create a database target at run time,
Data Integration
automatically discovers the target object metadata for data type, precision, and scale, based on the data source.
If you need to edit target object metadata, you can edit it in the Source transformation.
You cannot link the target fields to the upstream transformation. If you want to reduce the number of unused fields in the target, configure field rules in the Target transformation or in the upstream transformations.
When you create a database target at run time, the
mapping
task creates the database table the first time the mapping runs based on the fields from the upstream transformation.
In subsequent runs, the
mapping
task replaces the data in the target table that was created in the initial run. Consequently, if you change the mapping after the initial run, in subsequent runs the target will not reflect changes to the number of target fields and its metadata. To see the changes, you can either delete the existing target before you run the mapping or change the name of the target.
If you create a relational target at run time, the target operation is always insert. You can choose to truncate the target.
In mappings created before the Spring 2020 September release,
Data Integration
converts Bigint data from a parameterized source to Int data in database targets created at runtime. To write Bigint data to the target without conversion, edit the mapping in the Mapping Designer and enable the option in the mapping advanced properties.
Data Integration
does not convert Bigint data in mappings created after the Spring 2020 September release.