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Xintong Song commented on FLINK-28307: -------------------------------------- I've drafted a release note for this feature. {code} We have enhanced the experiences of viewing completed jobs’ information in this release. - JobManager / HistoryServer WebUI now provides detailed execution time metrics, including durations tasks spend in each execution state and the accumulated busy / idle / back-pressured time during running. - JobManager / HistoryServer WebUI now provides aggregation of major SubTask metrics, grouped by Task or TaskManager. - JobManager / HistoryServer WebUI now provides more environmental information, including environment variables, JVM options and classpath. - HistoryServer now supports browsing logs from external log archiving services. For more details: https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/deployment/advanced/historyserver#log-integration {code} > FLIP-241: Completed Jobs Information Enhancement > ------------------------------------------------ > > Key: FLINK-28307 > URL: https://issues.apache.org/jira/browse/FLINK-28307 > Project: Flink > Issue Type: New Feature > Components: Runtime / REST, Runtime / Web Frontend > Reporter: Yangze Guo > Priority: Major > Labels: pull-request-available > Fix For: 1.16.0 > > > Streaming and Batch users have different interests in probing a job. While > streaming users mainly care about the instant status of a running job (tps, > delay, backpressure, etc.), batch users care more about the overall job > status during the entire execution (queueing / execution time, total data > amount, etc.). > As Flink grows into a unified streaming & batch processor and is adopted by > more and more batch users, the experiences in inspecting completed jobs has > become more important than ever. > We compared Flink with other popular batch processors, and spotted several > potential improvements. Most of these changes involves WebUI & REST API > changes, which should be discussed and voted on as FLIPs. However, creating > separated FLIPs for each of the improvement might be overkill, because > changes needed by each improvement are quite small. Thus, we include all > these potential improvements in this one FLIP. -- This message was sent by Atlassian Jira (v8.20.10#820010)