CallMeSurprise opened a new pull request, #21210:
URL: https://github.com/apache/flink/pull/21210
## What is the purpose of the change
This pull request fixes the problem that user may get duplicate row records
occasionally even if querying from a hive/hudi table which contains only one
record.
## Brief change log
- Fix materializedTable size in MaterializedCollectBatchResult as
maxRowCount, rows exceed maxRowCount will be discarded.
- Override snapshot method.
- Remove cleanUp method because materializedTable table size was fixed.
- Variable validRowPosition indicates the position of rows where snapshot
method has been processed.
## Verifying this change
This change is already covered by existing tests, such as
MaterializedCollectBatchResultTest.testLimitedSnapshot(),
MaterializedCollectBatchResultTest.testSnapshot().
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (yes / **no**)
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: (yes / **no**)
- The serializers: (yes / **no** / don't know)
- The runtime per-record code paths (performance sensitive): (yes / **no**
/ don't know)
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (yes / **no** / don't
know)
- The S3 file system connector: (yes / **no** / don't know)
## Documentation
- Does this pull request introduce a new feature? (yes / **no**)
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