Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. 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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