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. Deduplicate transformation
  9. Expression transformation
  10. Filter transformation
  11. Hierarchy Builder transformation
  12. Hierarchy Parser transformation
  13. Hierarchy Processor transformation
  14. Input transformation
  15. Java transformation
  16. Java transformation API reference
  17. Joiner transformation
  18. Labeler transformation
  19. Lookup transformation
  20. Mapplet transformation
  21. Normalizer transformation
  22. Output transformation
  23. Parse transformation
  24. Python transformation
  25. Rank transformation
  26. Router transformation
  27. Rule Specification transformation
  28. Sequence Generator transformation
  29. Sorter transformation
  30. SQL transformation
  31. Structure Parser transformation
  32. Transaction Control transformation
  33. Union transformation
  34. Velocity transformation
  35. Verifier transformation
  36. Web Services transformation

Transformations

Transformations

Advanced properties

Advanced properties

You can configure advanced properties for a Joiner transformation. The advanced properties control settings such as the tracing level for session log messages, cache settings, null ordering, and whether the transformation is optional or required.
The properties that appear in the transformation depend on the mapping type.
You can configure the following properties:
Property
Description
Tracing Level
Detail level of error and status messages that
Data Integration
writes in the session log. You can choose terse, normal, verbose initialization, or verbose data. Default is normal.
Cache Directory
Specifies the directory used to cache master or detail rows and the index to these rows.
By default,
Data Integration
uses the directory entered in the Secure Agent $PMCacheDir property for the Data Integration Server. If you enter a new directory, make sure that the directory exists and contains enough disk space for the cache files. The directory can be on a mapped or mounted drive.
Null Ordering in Master
Null ordering in the master pipeline. Select Null is Highest Value or Null is Lowest Value.
Null Ordering in Detail
Null ordering in the detail pipeline. Select Null is Highest Value or Null is Lowest Value.
Data Cache Size
Data cache size for the transformation. Select one of the following options:
  • Auto.
    Data Integration
    sets the cache size automatically. If you select Auto, you can also configure a maximum amount of memory for
    Data Integration
    to allocate to the cache.
  • Value. Enter the cache size in bytes.
Default is Auto.
Index Cache Size
Index cache size for the transformation. Select one of the following options:
  • Auto.
    Data Integration
    sets the cache size automatically. If you select Auto, you can also configure a maximum amount of memory for
    Data Integration
    to allocate to the cache.
  • Value. Enter the cache size in bytes.
Default is Auto.
Sorted Input
Specifies that data is sorted. Select this option to join sorted data, which can improve performance.
Master Sort Order
Specifies the sort order of the master source data. Select Ascending if the master source data is in ascending order. If you select Ascending, enable sorted input. Default is Auto.
Transformation Scope
Specifies how
Data Integration
applies the transformation logic to incoming data:
  • Transaction. Applies the transformation logic to all rows in a transaction. Choose Transaction when a row of data depends on all rows in the same transaction, but does not depend on rows in other transactions.
  • All Input. Applies the transformation logic on all incoming data. When you choose All Input,
    Data Integration
    drops incoming transaction boundaries. Choose All Input when a row of data depends on all rows in the source.
  • Row. Applies the transformation logic to one row of data at-a-time. Choose Row when a row of data does not depend on any other row.
Optional
Determines whether the transformation is optional. If a transformation is optional and there are no incoming fields, the
mapping
task can run and the data can go through another branch in the data flow. If a transformation is required and there are no incoming fields, the task fails.
For example, you configure a parameter for the source connection. In one branch of the data flow, you add a transformation with a field rule so that only Date/Time data enters the transformation, and you specify that the transformation is optional. When you configure the
mapping
task, you select a source that does not have Date/Time data. The
mapping
task ignores the branch with the optional transformation, and the data flow continues through another branch of the mapping.