[ https://issues.apache.org/jira/browse/MAPREDUCE-7282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17209768#comment-17209768 ]
Steve Loughran commented on MAPREDUCE-7282: ------------------------------------------- Created MAPREDUCE-7300 which adds ability to ask a committer whether failures during task attempt commit are recoverable. combined with configurable policy on what to do here: warn + continue vs fail, people can stick with v2 committer but can be happy that if something went wrong during task commit, they'd know. > MR v2 commit algorithm should be deprecated and not the default > --------------------------------------------------------------- > > Key: MAPREDUCE-7282 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-7282 > Project: Hadoop Map/Reduce > Issue Type: Bug > Components: mrv2 > Affects Versions: 3.3.0, 3.2.1, 3.1.3, 3.3.1 > Reporter: Steve Loughran > Priority: Major > > The v2 MR commit algorithm moves files from the task attempt dir into the > dest dir on task commit -one by one > It is therefore not atomic > # if a task commit fails partway through and another task attempt commits > -unless exactly the same filenames are used, output of the first attempt may > be included in the final result > # if a worker partitions partway through task commit, and then continues > after another attempt has committed, it may partially overwrite the output > -even when the filenames are the same > Both MR and spark assume that task commits are atomic. Either they need to > consider that this is not the case, we add a way to probe for a committer > supporting atomic task commit, and the engines both add handling for task > commit failures (probably fail job) > Better: we remove this as the default, maybe also warn when it is being used -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org