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https://issues.apache.org/jira/browse/FLINK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16936323#comment-16936323
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Zhu Zhu commented on FLINK-14164:
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Maybe a Meter/MeterView is a better choice as it directly reports the rate of
failovers.
The rate can support an easier way to setup alerts for failovers (when rate >
0). Otherwise users may need to do the derivation by themselves, as discussed
in [this ML
thread|https://lists.apache.org/thread.html/6ed95eb6a91168dba09901e158bc1b6f4b08f1e176db4641f79de765@%3Cdev.flink.apache.org%3E].
> Add a metric to show failover count regarding fine grained recovery
> -------------------------------------------------------------------
>
> Key: FLINK-14164
> URL: https://issues.apache.org/jira/browse/FLINK-14164
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Coordination, Runtime / Metrics
> Affects Versions: 1.9.0, 1.10.0
> Reporter: Zhu Zhu
> Priority: Major
> Fix For: 1.10.0
>
>
> Previously Flink uses restart all strategy to recover jobs from failures. And
> the metric "fullRestart" is used to show the count of failovers.
> However, with fine grained recovery introduced in 1.9.0, the "fullRestart"
> metric only reveals how many times the entire graph has been restarted, not
> including the number of fine grained failure recoveries.
> As many users want to build their job alerting based on failovers, I'd
> propose to add such a new metric {{numberOfFailures}}/{{numberOfRestarts}}
> which also respects fine grained recoveries.
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