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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

Advanced Workflow Guide

Advanced Workflow Guide

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1:n Partitioning

1:n Partitioning

You can use 1:
n
 partitioning with Joiner transformations with sorted input. When you use 1:
n
 partitioning, you create one partition for the master pipeline and more than one partition in the detail pipeline. When the Integration Service processes the join, it compares the rows in a detail partition against the rows in the master source. When processing master and detail data for outer joins, the Integration Service outputs unmatched master rows after it processes all detail partitions.