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)