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

Transformations

Transformations

Output fields

Output fields

Create an output field to define a calculation that does not require an expression macro.
The following table describes the properties you can define when you create an output field:
Properties
Description
Name
Name of the field.
Type
The data type of the field.
Precision
Total number of digits in a number. For example, the number 123.45 has a precision of 5.
The precision must be greater than or equal to 1.
You cannot specify a decimal field precision greater than 38.
Scale
Number of digits to the right of the decimal point of a number. For example, the number 123.45 has a scale of 2.
Scale must be greater than or equal to 0.
The scale of a number must be less than its precision.
Not editable for all data types.
Default Value
The default value tells the mapping task what to do when the transformation encounters output errors. The default value is not available in mappings in advanced mode. You can enter one of the following values:
  • ERROR('transformation error'). When a transformation error occurs, the mapping task skips the row and writes the error to the session log or row error log.
  • A constant or constant expression. The mapping task replaces the error with the constant or constant expression. Nothing is written to the logs.
  • ABORT. Transformation aborts and the mapping task writes a message to the session log.
Default is ERROR('transformation error').
Data Integration validates the output field default value when you save or validate the mapping. If you enter an invalid value, the Mapping Designer marks the mapping as not valid.
Description
Optional. Description of the field. The description can contain up to 4000 characters.

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