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  • Informatica Data Quality 10.5.6.1
  • All Products

Table of Contents

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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)

Back Next

Python Transformation

Python Transformation

Effective in version 10.4.0, the Python code component in the Python transformation is divided into the following tabs:
  • Pre-Input. Defines code that can be interpreted once and shared between all rows of data.
  • On Input. Defines how a Python transformation behaves when it receives an input row while processing a partition.
  • At End. Defines how a Python transformation behaves after it processes all input data in a partition.
In upgraded mappings, the code that you entered in the Python code component appears on the
On Input
 tab.
Review the code to verify that the code operates as expected. If necessary, refactor the code using the
Pre-Input
,
On Input
, and
At End
 tabs.
For information about how to configure code on each tab, see the "Python Transformation" chapter in the
Informatica Data Engineering Integration 10.4.0 User Guide
.
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