dawidwys opened a new pull request #10068: [FLINK-13702][FLINK-13740] Fixed issues with generic types and materialization of lazy binary formats in blink planner URL: https://github.com/apache/flink/pull/10068 ## What is the purpose of the change This PR fixes a couple of issues related to serialization stack in blink table planner: * fixes the digest of GenericRelDataType, before the digest did not take into account generic parameters of TypeInformation. Therefore e.g. `ANY(TypeInformation<Map<Integer, String>>)` and `ANY(TypeInformation<Map<Row, Int>>)` were equal. * fixes the way `NullSerializer`, `NullAwareMapSerializer` and `BinaryGenericSerializer` take snapshots. * fixes the type of accumulator of `CollectAggFunction`, before the function was using a `GenericTypeInfo` instead of `PojoTypeInfo` * fixes race conditions when calling `LazyBinaryFormat#materialize` * fixes `BinaryGenericSerializer#duplicate` method ## Verifying this change This change is already covered by existing tests. ## 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, Yarn/Mesos, 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**) - If yes, how is the feature documented? (**not applicable** / docs / JavaDocs / not documented)
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