Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. 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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