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

Python transformation fields

Python transformation fields

A Python transformation has incoming fields and output fields. Use incoming fields and output fields as variables in the Python code snippets that you define on the
Python
tab.
Add output fields on the
Output Fields
tab.
Add output fields for the output data that you want to pass to the downstream transformation. To add a field, click
Add Field
, and then enter the field name, data type, precision, and scale. You can also create output fields on the
Outputs
tab of the Python editor by clicking
Create New Field
.
After you add fields to the transformation, you can use the field names as variables in the Python code.
Use the following guidelines when you create output fields:
  • A field name can contain only ASCII characters.
  • Do not use a Python keyword for a field name. For example, do not use fields names such as
    import
    ,
    global
    , or
    class
    .
  • Do not use these reserved terms for a field name:
    resourceJepFile
    or
    resourceFilesArray
    .
  • Set user-defined default values in the Python code.
    For example, you can enter
    output_field = 'value'
    to set the default value
    'value'
    for the output field
    output_field
    .
You can configure one or more input fields as partition keys.
Data Integration
uses the partition keys to repartition the data before the code runs. If you do not add an incoming fields as a partition key, the data is processed using its default partitioning scheme.