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https://issues.apache.org/jira/browse/FLINK-8688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16583347#comment-16583347
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ASF GitHub Bot commented on FLINK-8688:
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Xpray opened a new pull request #6574: [FLINK-8688] [table] Support Table
Function as Table for Stream Sql
URL: https://github.com/apache/flink/pull/6574
## What is the purpose of the change
Support Table Function as Table for Stream Sql
## Brief change log
- Add new `DataStreamTableFunctionScan`
## Verifying this change
This change added tests and can be verified as follows:
new test cases in:
org.apache.flink.table.runtime.stream.sql.SqlITCase
## 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)`: no
- 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? no
- If yes, how is the feature documented? no
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> Enable distinct aggregation for data stream on Table/SQL API
> ------------------------------------------------------------
>
> Key: FLINK-8688
> URL: https://issues.apache.org/jira/browse/FLINK-8688
> Project: Flink
> Issue Type: Improvement
> Components: Table API & SQL
> Reporter: Rong Rong
> Assignee: Rong Rong
> Priority: Major
> Labels: pull-request-available
>
> Distinct aggregation is not currently supported on data stream with Table/SQL
> API. This is an umbrella task for enabling distinct aggregation in various
> use cases.
> Discussion doc can be found here:
> https://docs.google.com/document/d/1zj6OA-K2hi7ah8Fo-xTQB-mVmYfm6LsN2_NHgTCVmJI/edit?usp=sharing
>
> Distinct aggregation is a very important feature in SQL processing and there
> are many JIRAs currently open with various use cases. The goal is to create
> one solution to both unbounded and bounded distinct aggregation on data
> stream so that it can easily be extended to support these use cases.
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