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https://issues.apache.org/jira/browse/FLINK-4937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Fabian Hueske updated FLINK-4937:
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Description:
Group-window aggregates for streaming tables are currently not done in an
incremental fashion. This means that the window collects all records and
performs the aggregation when the window is closed instead of eagerly updating
a partial aggregate for every added record. Since records are buffered,
non-incremental aggregation requires more storage space than incremental
aggregation.
The DataStream API which is used under the hood of the streaming Table API
features [incremental
aggregation|https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/windows.html#windowfunction-with-incremental-aggregation]
using a {{ReduceFunction}}.
We should add support for incremental aggregation in group-windows.
This is a follow-up task of FLINK-4691.
was:
Group-window aggregates for streaming tables are currently not done in an
incremental fashion. This means that the window collects all records and
performs the aggregation when the window is closed instead of eagerly updating
a partial aggregate for every added record. Since records are buffered,
non-incremental aggregation requires more storage space than incremental
aggregation.
The DataStream API which is used under the hood of the streaming Table API
features [incremental
aggregation|https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/windows.html#windowfunction-with-incremental-aggregation]
using a {{ReduceFunction}}.
We should add support for incremental aggregation in group-windows.
> Add incremental group window aggregation for streaming Table API
> ----------------------------------------------------------------
>
> Key: FLINK-4937
> URL: https://issues.apache.org/jira/browse/FLINK-4937
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Affects Versions: 1.2.0
> Reporter: Fabian Hueske
>
> Group-window aggregates for streaming tables are currently not done in an
> incremental fashion. This means that the window collects all records and
> performs the aggregation when the window is closed instead of eagerly
> updating a partial aggregate for every added record. Since records are
> buffered, non-incremental aggregation requires more storage space than
> incremental aggregation.
> The DataStream API which is used under the hood of the streaming Table API
> features [incremental
> aggregation|https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/windows.html#windowfunction-with-incremental-aggregation]
> using a {{ReduceFunction}}.
> We should add support for incremental aggregation in group-windows.
> This is a follow-up task of FLINK-4691.
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