Table of Contents

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  1. Preface
  2. Mappings
  3. Mapplets
  4. Mapping Parameters
  5. Where to Assign Parameters
  6. Mapping Outputs
  7. Generate a Mapping from an SQL Query
  8. Dynamic Mappings
  9. How to Develop and Run a Dynamic Mapping
  10. Dynamic Mapping Use Cases
  11. Mapping Administration
  12. Export to PowerCenter
  13. Import From PowerCenter
  14. Performance Tuning
  15. Pushdown Optimization
  16. Partitioned Mappings
  17. Developer Tool Naming Conventions

Developer Mapping Guide

Developer Mapping Guide

Optimization Methods

Optimization Methods

The Data Integration Service applies optimization methods to reduce the number of rows to process in the mapping. You can configure the optimizer level for the mapping to limit which optimization methods the Data Integration Service applies.
The Data Integration Service can apply the following optimization methods:
  • Pushdown optimization
  • Early projection optimization
  • Early selection optimization
  • Branch pruning optimization
  • Push-into optimization
  • Predicate optimization
  • Global predicate optimization
  • Cost-based optimization
  • Dataship-join optimization
  • Semi-join optimization
The Data Integration Service can apply multiple optimization methods to a mapping at the same time. For example, the Data Integration Service applies the early projection optimization, predicate optimization, global predicate optimization, branch pruning optimization, and early selection optimization or push-into optimization methods when you select the normal optimizer level.

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