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https://issues.apache.org/jira/browse/FLINK-10976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16709611#comment-16709611
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ASF GitHub Bot commented on FLINK-10976:
----------------------------------------
dianfu opened a new pull request #7235: [FLINK-10976] [table] Add support for
aggregate to table API
URL: https://github.com/apache/flink/pull/7235
## What is the purpose of the change
*This pull request adds the aggregate operation to table API.*
## Brief change log
- *Adds aggregate API to Table and GroupedTable in table.scala and adds
AggregatedTable in table.scala*
- *Added tests in AggregateTest, AggregateITCase,
AggregateStringExpressionTest, AggregateValidationTest*
## Verifying this change
This change added tests and can be verified as follows:
*(example:)*
- *Added tests in AggregateTest, AggregateITCase,
AggregateStringExpressionTest, AggregateValidationTest*
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (no)
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: (yes)
- The serializers: (no)
- The runtime per-record code paths (performance sensitive): (no)
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Yarn/Mesos, ZooKeeper: (no)
- The S3 file system connector: (no)
## Documentation
- Does this pull request introduce a new feature? (yes)
- If yes, how is the feature documented? (docs)
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> Add Aggregate operator to Table API
> -----------------------------------
>
> Key: FLINK-10976
> URL: https://issues.apache.org/jira/browse/FLINK-10976
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: sunjincheng
> Assignee: Dian Fu
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.8.0
>
>
> Add Aggregate operator to Table API as described in [Google
> doc|https://docs.google.com/document/d/1tnpxg31EQz2-MEzSotwFzqatsB4rNLz0I-l_vPa5H4Q/edit#heading=h.q23rny2iglsr].
> The usage:
> {code:java}
> val res = tab
> .groupBy('a) // leave out groupBy-clause to define global aggregates
> .agg(fun: AggregateFunction) // output has columns 'a, 'b, 'c
> .select('a, 'c)
> {code}
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