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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. Expression transformation
  7. Filter transformation
  8. Input transformation
  9. Joiner transformation
  10. Lookup transformation
  11. Mapplet transformation
  12. Normalizer transformation
  13. Output transformation
  14. Rank transformation
  15. Router transformation
  16. Sequence transformation
  17. Sorter transformation
  18. SQL transformation
  19. Union transformation

Transformations

Transformations

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
    Join Condition
    tab, select the join yype.
  7. To configure a join condition, select Simple for the join condition. Click
    Add New Join Condition
    , and then select the master and detail fields to use and the operator. You can create multiple join conditions.
    Alternatively, to use a parameter for the join condition, select Completely Parameterized for the join condition.
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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