[ https://issues.apache.org/jira/browse/BEAM-6081?focusedWorklogId=207543&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-207543 ]
ASF GitHub Bot logged work on BEAM-6081: ---------------------------------------- Author: ASF GitHub Bot Created on: 05/Mar/19 01:03 Start Date: 05/Mar/19 01:03 Worklog Time Spent: 10m Work Description: alanmyrvold commented on issue #7985: [BEAM-6081]: Create "Dataflow Reaper" infrastructure to periodically clean up stuck Dataflow jobs URL: https://github.com/apache/beam/pull/7985#issuecomment-469491589 R: @pabloem ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 207543) Time Spent: 20m (was: 10m) > Create "Dataflow Reaper" infrastructure to periodically clean up stuck > Dataflow jobs > ------------------------------------------------------------------------------------ > > Key: BEAM-6081 > URL: https://issues.apache.org/jira/browse/BEAM-6081 > Project: Beam > Issue Type: New Feature > Components: build-system, testing > Reporter: Scott Wegner > Assignee: Alan Myrvold > Priority: Minor > Time Spent: 20m > Remaining Estimate: 0h > > Our Jenkins infrastructure continuously runs many Dataflow jobs as part of > pre- and post-commit tests. These are scheduled against our shared > {{apache-beam-testing}} project, which has some amount of GCP quota for these > jobs. > Some bugs can cause Dataflow jobs to get stuck and hang indefinitely. This > causes many test jobs to stack up, which eats up our GCP quota and then > causes all subsequent jobs to fail for quota issues. For an example, see > [[BEAM-6080]|https://issues.apache.org/jira/browse/BEAM-6080]. > We should harden the Dataflow runner and test framework to prevent Dataflow > jobs getting stuck indefinitely, but in reality: bugs happen. > We should add some "reaper" process to periodically query for long-running > jobs on our Dataflow project and cancel them. This would be fairly > straight-forward using the [Dataflow REST > API|https://cloud.google.com/dataflow/docs/reference/rest/], and scheduled on > Jenkins. > If we build such a mechanism, we should also document the imposed policy > (i.e. the threshold for "long running jobs"), and perhaps some mechanism for > opting out. For example, performance benchmarking jobs might be long-running > by design. -- This message was sent by Atlassian JIRA (v7.6.3#76005)