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

Aggregator Caches

Aggregator Caches

The Integration Service uses cache memory to process Aggregator transformations with unsorted input. When you run the session, the Integration Service stores data in memory until it completes the aggregate calculations.
The Integration Service creates the following caches for the Aggregator transformation:
  • Index cache.
    Stores group values as configured in the group by ports.
  • Data cache.
    Stores calculations based on the group by ports.
By default, the Integration Service creates one memory cache and one disk cache for both the data and index in the transformation.
When you create multiple partitions in a session with an Aggregator transformation, the Integration Service uses cache partitioning. It creates one disk cache for all partitions and a separate memory cache for each partition.


Updated November 14, 2019