Timm0 opened a new pull request, #29698:
URL: https://github.com/apache/flink/pull/29698
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## Contribution Checklist
- Make sure that the pull request corresponds to a [JIRA
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## What is the purpose of the change
Streaming SQL accepts `UNION`, `INTERSECT [ALL]` and `EXCEPT [ALL]`, but the
Table API rejects `union`, `intersect`, `intersectAll`, `minus` and `minusAll`
in streaming mode. Both paths already plan to the same Calcite nodes. This
change removes the Table API check. It also makes `minus` serialize to
`EXCEPT`, because Flink's SQL conformance rejects `MINUS`.
## Brief change log
- `SetOperationFactory` no longer rejects set operations on unbounded
tables. Its now-unused `isStreamingMode` constructor argument is removed.
- `SetQueryOperation#asSerializableString` renders `MINUS [ALL]` as `EXCEPT
[ALL]`. `asSummaryString` (explain output) still prints `Minus`.
- Added `UNION`, `INTERSECT`, `INTERSECT ALL`, `MINUS` and `MINUS ALL`
programs to `QueryOperationTestPrograms`. They are registered in
`QueryOperationSqlSerializationTest` and `QueryOperationSqlSemanticTest`.
- `ComparableTypeValidatorTest` runs the Table API `intersect` and `minus`
VARIANT rejections in both modes.
- Removed the streaming rejection tests from `UnsupportedOpsValidationTest`
and from PyFlink's `test_dataframe.py`.
- Docs: `tableApi.md` (en, zh) labels the five operations Streaming and adds
the query state warning. The PyFlink DataFrame docstrings no longer say these
operations are batch only.
## Verifying this change
This change added tests and can be verified as follows:
- Added `UNION`, `INTERSECT`, `INTERSECT ALL`, `MINUS` and `MINUS ALL`
programs to `QueryOperationTestPrograms`:
- `QueryOperationSqlSerializationTest` to check the generated SQL
- `QueryOperationSqlSemanticTest` to run the generated SQL and check the
sink rows.
- `ComparableTypeValidatorTest` now runs the Table API `intersect` and
`minus` VARIANT rejections in streaming mode as well as batch mode.
- Removed the tests that expected the streaming rejection in
`UnsupportedOpsValidationTest` and PyFlink `test_dataframe.py`.
- The existing batch tests for Table API set operations still pass
(`SetOperatorsITCase`, `SetOperatorsTest`, `SetOperatorsValidationTest`).
## 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, Kubernetes/Yarn, 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 (en + zh) and DocStrings for
PyFlink
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