Table of Contents

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