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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

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Creating a Joiner transformation

Creating a Joiner transformation

Use a Joiner transformation to join data from two related heterogenous sources.
Before you create a Joiner transformation, add Source transformations to the mapping to represent source data. Include any other upstream transformations that you want to use.
If the data in the two pipelines include matching field names, rename one set of fields in a transformation upstream from the Joiner transformation.
  1. In the
    Transformation palette
    , drag a Joiner transformation onto the mapping canvas.
  2. Connect an upstream transformation that represents one data set to the Master group of the Joiner transformation.
    To improve job performance, use the transformation that represents the smaller data set.
  3. Connect an upstream transformation that represents the other data set to the Detail group of the Joiner transformation.
  4. On the
    General
     tab, enter a name and optional description for the transformation.
  5. On the
    Incoming Fields
     tab, configure the field rules that define the data that enters the transformation.
  6. On the
    Field Mappings
     tab, select the
    Join Type
    .
  7. To create a join condition, the
    Join Condition
    , select Simple to create join conditions.
  8. Click
    Add New Join Condition
    , and then select the master and detail fields to use.
    You can create multiple join conditions.
You can add downstream transformations to the mapping and configure them. When the mapping is complete, you can validate and save the mapping.
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