English
  • PowerCenter 10.4.0
  • All Products

Table of Contents

Search

  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

Advanced Workflow Guide

Advanced Workflow Guide

Back Next

Rules and Guidelines for Sessions with Multiple Partitions

Rules and Guidelines for Sessions with Multiple Partitions

Use the following rules and guidelines when you configure the Integration Service to push sessions with multiple partitions to a database.
The Integration Service can push a session with multiple partitions to the database in the following situations:
  • If the session uses pass-through partitioning at the partition point at the Source Qualifier transformation and all subsequent partition points, the Integration Service can push the transformation logic to the database using source-side, target-side, or full pushdown optimization.
  • If the session uses key range partitioning at the Source Qualifier transformation and contains hash auto-keys or pass-through partitions in downstream partition points, the Integration Service can push the transformation logic to the database using source-side or full pushdown optimization.
If pushdown optimization merges data from multiple partitions of a transformation into the first partition and the Integration Service processes the transformation logic for a downstream transformation, the Integration Service does not redistribute the rows among the partitions in the downstream transformation. It continues to pass the rows to the first partition and pass empty data in the other partitions.