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  • Common Content for Data Engineering 10.5.4
  • All Products

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 Optimization Rules and Guidelines

Dataship-Join Optimization Rules and Guidelines

The Data Integration Service can apply dataship-join optimization to a Joiner transformation if the transformation meets the following requirements:
  • The join type must be normal, master outer, or detail outer.
  • The detail pipeline must originate from a relational source.
  • If the mapping uses target-based commits, the Joiner transformation scope must be All Input.
  • The master and detail pipelines cannot share any transformation.
  • The mapping cannot contain a branch between the detail source and the Joiner transformation.
  • The Data Integration Service fails to apply the dataship-join optimization method if the database which contains the detail side of the join is an IBM DB2 database that does not support Unicode encoding.
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