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  1. Preface
  2. Part 1: Version 10.5.4
  3. Part 2: Version 10.5.3 - 10.5.3.x
  4. Part 3: Version 10.5.2 - 10.5.2.1.x
  5. Part 4: Version 10.5.1 - 10.5.1.1
  6. Part 5: Versions 10.5 - 10.5.0.1
  7. Part 6: Versions 10.4.1 - 10.4.1.3
  8. Part 7: Versions 10.4 - 10.4.0.2
  9. Part 8: Versions 10.2.2 - 10.2.2 HotFix 1
  10. Part 9: Version 10.2.1
  11. Part 10: Version 10.2 - 10.2 HotFix 2

What's New and Changed (10.5.4)

What's New and Changed (10.5.4)

Transformations

Transformations

This section describes the changes to transformations in Big Data Streaming in version 10.2.2 Service Pack 1.

Rank Transformation

Effective in version 10.2.2 Service Pack 1, a streaming mapping must meet the following additional requirements if it contains a Rank transformation:
  • A streaming mapping cannot contain a Rank transformation and a passive Lookup transformation that is configured with an inequality lookup condition in the same pipeline. Previously, you could use a Rank transformation and a passive Lookup transformation that is configured with an inequality lookup condition in the same pipeline.
  • A Rank transformation in a streaming mapping cannot have a downstream Joiner transformation. Previously, you could use a Rank transformation anywhere before a Joiner transformation in a streaming mapping.
  • A streaming mapping cannot contain more than one Rank transformation in the same pipeline. Previously, you could use multiple Rank transformations in a streaming mapping.
  • A streaming mapping cannot contain an Aggregator transformation and a Rank transformation in the same pipeline. Previously, you could use an Aggregator transformation and a Rank transformation in the same pipeline.

Sorter Transformation

Effective in version 10.2.2 Service Pack 1, a streaming mapping must meet the following additional requirements if it contains a Sorter transformation:
  • A streaming mapping runs in complete output mode if it contains a Sorter transformation. Previously, a streaming mapping used to run in append output mode if it contains a Sorter transformation.
  • The Sorter transformation in a streaming mapping must have an upstream Aggregator transformation. Previously, you could use a Sorter transformation without an upstream Aggregator transformation.
  • The Window transformation upstream from an Aggregator transformation will be ignored if the mapping contains a Sorter transformation. Previously, the Window transformation upstream from an Aggregator transformation was not ignored if the mapping contains a Sorter transformation.

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