[ https://issues.apache.org/jira/browse/YARN-8453?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16947628#comment-16947628 ]
Szilard Nemeth commented on YARN-8453: -------------------------------------- Hi [~sunilg]! Couple of comments: # Could you rename static field A to QUEUE_A? Similarly with B -> QUEUE_B as well? # A_CAPACITY and B_CAPACITY could be private. # There are some calls to TestUtils.createResource: These can be fit into the previous line. # // Register NM1 with 10GB memory, 4 CPU and 0 GPU --> This comment should be about NM2. # nm2 variable is not used, please invoke registerNode, but don't assign it to a variable. # // Allocate one more containers which doesnt need GPU --> containers should be singular # There are 2 occasions where you use Arrays.asList with just one element: You could use Collections.singletonList() instead. # Can you extract some common code with testMaximumAllocationRefreshWithMultipleResourceTypes and your new test method? Thanks! > Additional Unit tests to verify queue limit and max-limit with multiple > resource types > --------------------------------------------------------------------------------------- > > Key: YARN-8453 > URL: https://issues.apache.org/jira/browse/YARN-8453 > Project: Hadoop YARN > Issue Type: Bug > Components: capacity scheduler > Affects Versions: 3.0.2 > Reporter: Sunil G > Assignee: Sunil G > Priority: Major > Attachments: YARN-8453.001.patch > > > Post support of additional resource types other then CPU and Memory, it could > be possible that one such new resource is exhausted its quota on a given > queue. But other resources such as Memory / CPU is still there beyond its > guaranteed limit (under max-limit). Adding more units test to ensure we are > not starving such allocation requests -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org