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  • Informatica Data Quality 10.4.0
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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

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Dataship-Join Requirements for Increased Performance

Dataship-Join Requirements for Increased Performance

The dataship-join optimization method does not always increase performance. The following factors affect mapping performance with dataship-join optimization:
  • The Joiner transformation master source must have significantly fewer rows than the detail source.
  • The detail source must be significantly large to justify the optimization. If the detail source is not large enough the Data Integration Service finds it is faster to read all the data from the master and detail source without applying the dataship-join optimization method.
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