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

Flat file targets created at run time

Flat file targets created at run time

If a
mapping
includes a flat file target, you can select an existing target file or create the target at run time. When you create a 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 flat file target at run time, the
mapping
task creates the physical target the first time the mapping runs based on the fields from the upstream transformation. In subsequent runs, if the target file name does not change, the
mapping
task overwrites the target file. If the file name changes between mapping runs, the
mapping
task creates a new target.
Data Integration
creates the target in the default connection directory.
You can configure a static or dynamic file name for the target file. A static file name can include a time stamp. A dynamic file name uses an expression to generate the file name when the
mapping
task runs.
Data Integration
can write to a delimited or fixed-width target file. By default, when
Data Integration
creates a target at run time using a fixed-width file format, it rounds data that uses the Decimal or Double data types. You can choose to skip rounding the data for Decimal and Double data types. Data Integration doesn't round delimited data by default.

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