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.

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.