Jufang He created FLINK-37375: --------------------------------- Summary: Checkpoint supports the Operator to customize asynchronous snapshot state Key: FLINK-37375 URL: https://issues.apache.org/jira/browse/FLINK-37375 Project: Flink Issue Type: Bug Components: Runtime / Checkpointing Affects Versions: 1.20.1 Reporter: Jufang He
In some Flink task operators, slow operations such as file uploads or data flushing may be performed during the synchronous phase of Checkpoint. Due to performance issues with external storage components, the synchronous phase may take too long to execute, significantly impacting the job's throughput. For example, during our internal use of Paimon, we observed that uploading files to HDFS during the Checkpoint synchronous phase could encounter random HDFS slow node issues, leading to a substantial negative impact on task throughput. To address this issue, I propose supporting a generic operator custom asynchronous snapshot feature, allowing users to move time-consuming logic to the asynchronous phase of Checkpoint, thereby minimizing the blocking of the main thread and improving task throughput. For instance, the Paimon writer operator could write data locally during the Checkpoint synchronous phase and upload files to remote storage during the asynchronous phase. Beyond the Paimon data upload scenario, other operator logic may also experience slow execution during the synchronous phase. This approach aims to uniformly optimize such issues. I drafted a flip for this issue: [https://docs.google.com/document/d/1lwxLEQjD6jVhZUBMRGhzQNWKSvdbPbYNQsV265gR4kw] -- This message was sent by Atlassian Jira (v8.20.10#820010)