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

Working with Partition Groups

Working with Partition Groups

When you run a session on a grid, the Data Transformation Manager process (DTM) forms groups of session threads called partition groups. A partition group is a group of reader, writer, or transformation threads that run in a single DTM process. A partition group might include one or more pipeline stages. A pipeline stage is the section of a pipeline executed between any two partition points. Some transformations are not partitionable across a grid. When a transformation is not partitionable across a grid, the DTM creates a single partition group for the transformation threads and runs those threads on a single node.


Updated November 14, 2019