Table of Contents

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  1. Preface
  2. Understanding Pipeline Partitioning
  3. Partition Points
  4. Partition Types
  5. Pushdown Optimization
  6. Pushdown Optimization and Transformations
  7. Real-time Processing
  8. Commit Points
  9. Row Error Logging
  10. Workflow Recovery
  11. Stopping and Aborting
  12. Concurrent Workflows
  13. Grid Processing
  14. Load Balancer
  15. Workflow Variables
  16. Parameters and Variables in Sessions
  17. Parameter Files
  18. FastExport
  19. External Loading
  20. FTP
  21. Session Caches
  22. Incremental Aggregation
  23. Session Log Interface
  24. Understanding Buffer Memory
  25. High Precision Data
  26. POWERCENTERHELP

Advanced Workflow Guide

Advanced Workflow Guide

Working with Multiple Partitions

Working with Multiple Partitions

You can configure a Custom transformation to allow multiple partitions in mappings. You can add partitions to the pipeline if you set the Is Partitionable property for the transformation. You can select the following values for the Is Partitionable option:
  • No.
    The transformation cannot be partitioned. The transformation and other transformations in the same pipeline are limited to one partition. You might choose No if the transformation processes all the input data together, such as data cleansing.
  • Locally.
    The transformation can be partitioned, but the Integration Service must run all partitions in the pipeline on the same node. Choose Local when different partitions of the transformation must share objects in memory.
  • Across Grid.
    The transformation can be partitioned, and the Integration Service can distribute each partition to different nodes.
When you add multiple partitions to a mapping that includes a multiple input or output group Custom transformation, you define the same number of partitions for all groups.


Updated July 04, 2018