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. 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 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

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.
  • Don't use a Python keyword for a field name. For example, don't use fields names such as
    import
    ,
    global
    , or
    class
    .
  • Don't 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 don't add an incoming fields as a partition key, the data is processed using its default partitioning scheme.

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