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Posted to issues@flink.apache.org by "Mason Chen (Jira)" <ji...@apache.org> on 2022/12/15 09:03:00 UTC

[jira] [Comment Edited] (FLINK-30409) Support reopening closed metric groups

    [ https://issues.apache.org/jira/browse/FLINK-30409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17647942#comment-17647942 ] 

Mason Chen edited comment on FLINK-30409 at 12/15/22 9:02 AM:
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I think that is a good proposal–we can keep the semantic that a group instance will always stay closed. We should then also discard the old metric group from AbstractMetricGroup state and we can do this lazily (if and when a group with same name is requested). Mind if I take a stab at the implementation and testing as I have been thinking about this problem a lot?


was (Author: mason6345):
I think that is a good proposal–we can keep the semantic that a group instance will always stay closed. We should then also discard the old metric group from AbstractMetricGroup state. Mind if I take a stab at the implementation and testing as I have been thinking about this problem a lot?

> Support reopening closed metric groups
> --------------------------------------
>
>                 Key: FLINK-30409
>                 URL: https://issues.apache.org/jira/browse/FLINK-30409
>             Project: Flink
>          Issue Type: Improvement
>          Components: Runtime / Metrics
>    Affects Versions: 1.17.0
>            Reporter: Mason Chen
>            Priority: Major
>
> Currently, metricGroup.close() will unregister metrics and the underlying metric groups. If the metricGroup is created again via addGroup(), it will silently fail to create metrics since the metric group is in a closed state.
> We need to close metric groups and reopen them because some of the metrics may reference old objects that are no longer relevant/stale and we need to re-create the metric/metric group to point to the new references. For example, we may close `KafkaSourceReader` to remove a topic partition from assignment and then recreate `KafkaSourceReader` with a different set of topic partitions. The metrics should also reflect that.



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