[FLINK-35037][table-planner]Optimize uniqueKeys and upsertKeys inference of windows with ROW_NUMBER.

[RubyChou]

What is the purpose of the change

The PR aims to add valid uniqueKeys and uniqueKeys candidates for windows with ROW_NUMBER. The candidates are pairs of partition by keys and field of ROW_NUMBER for each window group.

Brief change log

• Add getUniqueKeysOfWindowGroup function to resolve uniqueKeys candidates for window group who contains ROW_NUMBER.
• Change uniqueKeys/UpsertKeys/ColumnUniqueness inference logic for relNodes of Window, BatchPhysicalOverAggregate and StreamPhysicalOverAggregate types.
• Test the logic in corresponding tests, like FlinkRelMdColumnUniquenessTest
• Fix wrong initialization of window groups in FlinkRelMdHandlerTestBase.

Verifying this change

This change added tests and can be verified as follows:

• *Added tests in FlinkRelMdColumnUniquenessTest, FlinkRelMdUniqueKeysTest and FlinkRelMdUpsertKeysTest to check if partition by keys and field of ROW_NUMBER are candidates. *

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? (no)
• If yes, how is the feature documented? (not applicable)

[flinkbot]

CI report:

• 47e9fe2fbdc2a0ebd9084a2d4acdce12fd917d47 Azure: SUCCESS

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