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Wilfred Spiegelenburg commented on YARN-9326: --------------------------------------------- The white space issues are fixed via YARN-9348. A new build should not show them anymore, The text looks good to me now. [~templedf] you did a lot of the work around resource types. Does this change look good to you from that perspective or should we extend the new format examples with a resource type tag like this to make it really clear: {code} "vcores=X, memory-mb=Y, GPU=5" {code} > Fair Scheduler configuration defaults are not documented in case of min and > maxResources > ---------------------------------------------------------------------------------------- > > Key: YARN-9326 > URL: https://issues.apache.org/jira/browse/YARN-9326 > Project: Hadoop YARN > Issue Type: Improvement > Components: docs, documentation, fairscheduler, yarn > Affects Versions: 3.2.0 > Reporter: Adam Antal > Assignee: Adam Antal > Priority: Major > Attachments: YARN-9326.001.patch, YARN-9326.002.patch, > YARN-9326.003.patch, YARN-9326.004.patch, YARN-9326.005.patch > > > The FairScheduler's configuration has the following defaults (from the code: > javadoc): > {noformat} > In new style resources, any resource that is not specified will be set to > missing or 0%, as appropriate. Also, in the new style resources, units are > not allowed. Units are assumed from the resource manager's settings for the > resources when the value isn't a percentage. The missing parameter is only > used in the case of new style resources without percentages. With new style > resources with percentages, any missing resources will be assumed to be 100% > because percentages are only used with maximum resource limits. > {noformat} > This is not documented in the hadoop yarn site FairScheduler.html. It is > quite intuitive, but still need to be documented though. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org