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

Sharing Partitioned Caches

Sharing Partitioned Caches

Use the following guidelines when you share partitioned Lookup caches:
  • Lookup transformations can share a partitioned cache if the transformations meet the following conditions:
    • The cache structures are identical. The lookup/output ports for the first shared transformation must match the lookup/output ports for the subsequent transformations.
    • The transformations have the same lookup conditions, and the lookup condition columns are in the same order.
  • You cannot share a partitioned cache with a non-partitioned cache.
  • When you share Lookup caches across target load order groups, you must configure the target load order groups with the same number of partitions.
  • If the Integration Service detects a mismatch between Lookup transformations sharing an unnamed cache, it rebuilds the cache files.
  • If the Integration Service detects a mismatch between Lookup transformations sharing a named cache, it fails the session.

0 COMMENTS

We’d like to hear from you!