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https://issues.apache.org/jira/browse/FLINK-33856?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jufang He updated FLINK-33856:
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Description:
When Flink makes a checkpoint, the interaction performance with the external
file system has a great impact on the overall time-consuming. Therefore, it is
easy to observe the bottleneck point by adding performance indicators when the
task interacts with the external file storage system. These include: the rate
of file write , the latency to write the file, the latency to close the file.
In flink side add the above metrics has the following advantages: convenient
statistical different task E2E time-consuming; do not need to distinguish the
type of external storage system, can be unified in the
FsCheckpointStreamFactory.
was:
When Flink makes a Checkpoint, the interaction performance with the external
file system has a great impact on the overall time-consuming of the checkpoint.
Therefore, it is easy to observe the bottleneck point by adding performance
indicators when the task interacts with the external file storage system. These
include: the rate of file write , the latency to write the file, the latency to
close the file.
In flink side add the above metrics has the following advantages: convenient
statistical different task E2E time-consuming; do not need to distinguish the
type of external storage system, can be unified in the
FsCheckpointStreamFactory.
> Add metrics to monitor the interaction performance between task and external
> storage system in the process of checkpoint making
> -------------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-33856
> URL: https://issues.apache.org/jira/browse/FLINK-33856
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Checkpointing
> Affects Versions: 1.18.0
> Reporter: Jufang He
> Priority: Major
>
> When Flink makes a checkpoint, the interaction performance with the external
> file system has a great impact on the overall time-consuming. Therefore, it
> is easy to observe the bottleneck point by adding performance indicators when
> the task interacts with the external file storage system. These include: the
> rate of file write , the latency to write the file, the latency to close the
> file.
> In flink side add the above metrics has the following advantages: convenient
> statistical different task E2E time-consuming; do not need to distinguish the
> type of external storage system, can be unified in the
> FsCheckpointStreamFactory.
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