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

Configure advanced properties to define how the Rank transformation processes data. Configure advanced properties on the
Advanced
tab.
The properties that appear in the transformation depend on the mapping type.
Configure the following properties:
Property
Description
Cache Directory
Directory where
Data Integration
creates the data cache and index cache files. By default,
Data Integration
stores the cache files in the directory entered in the Secure Agent $PMCacheDir property for the Data Integration Server.
If you change the cache directory, verify that the directory exists and contains enough disk space for the cache files.
To increase performance during cache partitioning, enter multiple directories separated by semicolons. Cache partitioning creates a separate cache for each partition that processes the transformation.
Default is $PMCacheDir.
Rank 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.
Rank 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.
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.
Transformation Scope
The method in which
Data Integration
applies the transformation logic to incoming data. Select one of the following values:
  • Transaction. Applies the transformation logic to all rows in a transaction. Choose Transaction when the results of the transformation depend on all rows in the same transaction, but not on rows in other transactions.
  • All Input. Applies the transformation logic to all incoming data. When you choose All Input,
    Data Integration
    drops transaction boundaries. Select All Input when the results of the transformation depend on all rows of data in the source.
Default is All Input.
Case Sensitive String Comparison
Specifies whether
Data Integration
uses case-sensitive string comparisons when it ranks strings. To ignore case in strings, disable this option. Default is enabled.
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.
Default is enabled.