dannycranmer opened a new pull request #15773: URL: https://github.com/apache/flink/pull/15773
## What is the purpose of the change Pull in the following fixes from AWS fork: * Fix issue where `KinesisDataFetcher.shutdownFetcher()` hangs ([issue](https://github.com/awslabs/amazon-kinesis-connector-flink/issues/23), [pull request](https://github.com/awslabs/amazon-kinesis-connector-flink/pull/24)) * Log error when shutting down Kinesis Data Fetcher ([issue](https://github.com/awslabs/amazon-kinesis-connector-flink/issues/22), [pull request](https://github.com/awslabs/amazon-kinesis-connector-flink/pull/25)) * Treating TimeoutException as Recoverable Exception ([issue](https://github.com/awslabs/amazon-kinesis-connector-flink/pull/28), [pull request](https://github.com/awslabs/amazon-kinesis-connector-flink/issues/21)) * Add time-out for acquiring subscription and passing events from network to source thread to prevent deadlock ([pull request](https://github.com/awslabs/amazon-kinesis-connector-flink/pull/18)) ## Brief change log - Added `Timeout` when blocking on queue between source and network thread - Catching exceptions during source teardown, to allow source to interrupt threads of executor ## Verifying this change - Added unit tests for changes - Verified on AWS KDA with test applications ## 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): yes - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/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? not applicable -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org