Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Custom Transformation
  5. Custom Transformation Functions
  6. Data Masking Transformation
  7. Data Masking Examples
  8. Expression Transformation
  9. External Procedure Transformation
  10. Filter Transformation
  11. HTTP Transformation
  12. Identity Resolution Transformation
  13. Java Transformation
  14. Java Transformation API Reference
  15. Java Expressions
  16. Java Transformation Example
  17. Joiner Transformation
  18. Lookup Transformation
  19. Lookup Caches
  20. Dynamic Lookup Cache
  21. Normalizer Transformation
  22. Rank Transformation
  23. Router Transformation
  24. Sequence Generator Transformation
  25. Sorter Transformation
  26. Source Qualifier Transformation
  27. SQL Transformation
  28. Using the SQL Transformation in a Mapping
  29. Stored Procedure Transformation
  30. Transaction Control Transformation
  31. Union Transformation
  32. Unstructured Data Transformation
  33. Update Strategy Transformation
  34. XML Transformations

Transformation Guide

Transformation Guide

Guidelines for Joining Data from a Single Source

Guidelines for Joining Data from a Single Source

Use the following guidelines when deciding whether to join branches of a pipeline or join two instances of a source:
  • Join two branches of a pipeline when you have a large source or if you can read the source data only once. For example, you can only read source data from a message queue once.
  • Join two branches of a pipeline when you use sorted data. If the source data is unsorted and you use a Sorter transformation to sort the data, branch the pipeline after you sort the data.
  • Join two instances of a source when you need to add a blocking transformation to the pipeline between the source and the Joiner transformation.
  • Join two instances of a source if one pipeline may process slower than the other pipeline.
  • Join two instances of a source if you need to join unsorted data.

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