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  1. Preface
  2. Part 1: Version 10.5.6 - Version 10.5.6.x
  3. Part 2: Version 10.5.5 - 10.5.5.x
  4. Part 3: Version 10.5.4 - 10.5.4.x
  5. Part 4: Version 10.5.3 - 10.5.3.x
  6. Part 5: Version 10.5.2 - 10.5.2.1.x
  7. Part 6: Version 10.5.1 - 10.5.1.1
  8. Part 7: Versions 10.5 - 10.5.0.1
  9. Part 8: Versions 10.4.1 - 10.4.1.3
  10. Part 9: Versions 10.4 - 10.4.0.2
  11. Part 10: Versions 10.2.2 - 10.2.2 HotFix 1
  12. Part 11: Version 10.2.1
  13. Part 12: Version 10.2 - 10.2 HotFix 2

What's New and Changed (10.5.6.1)

What's New and Changed (10.5.6.1)

Python Transformation

Python Transformation

Effective in version 10.4.0, the Python transformation has the following functionality:

Active Mode

You can create an active Python transformation. As an active transformation, the Python transformation can change the number of rows that pass through it. For example, the Python transformation can generate multiple output rows from a single input row or the transformation can generate a single output row from multiple input rows.
For more information, see the "Python Transformation" chapter in the
Informatica Data Engineering Integration 10.4.0 User Guide
.

Partitioned Data

You can run Python code to process incoming data based on the data's default partitioning scheme, or you can repartition the data before the Python code runs. To repartition the data before the Python code runs, select one or more input ports as a partition key.
For more information, see the "Python Transformation" chapter in the
Informatica Data Engineering Integration 10.4.0 User Guide
.

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