[ https://issues.apache.org/jira/browse/FLINK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16937655#comment-16937655 ]
Zhu Zhu commented on FLINK-14164: --------------------------------- Hi [~wind_ljy], The partial restarts actually refer to the restarts conducted by fine grained recovery strategy. If a user is not using "full" failover strategy, there should be few full restarts, since task failures will be recovered via fine grained recoveries. And for many streaming jobs with all-to-all edges, the fine grained recovery would actually restarts all the vertices. In my mind a metric including all restarts(full and partial) should help in most cases. Could you share some cases that you need to distinguish full restarts and partial restarts? That can be helpful. > 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: 1.10.0 > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005)