[
https://issues.apache.org/jira/browse/YARN-9205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zhankun Tang updated YARN-9205:
-------------------------------
Affects Version/s: 3.3.0
> When using custom resource type, application will fail to run due to the
> CapacityScheduler throws
> InvalidResourceRequestException(GREATER_THEN_MAX_ALLOCATION)
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: YARN-9205
> URL: https://issues.apache.org/jira/browse/YARN-9205
> Project: Hadoop YARN
> Issue Type: Bug
> Affects Versions: 3.3.0
> Reporter: Zhankun Tang
> Assignee: Zhankun Tang
> Priority: Critical
>
> In a non-secure cluster. Reproduce it as follows:
> # Set capacity scheduler in yarn-site.xml
> # Use default capacity-scheduler.xml
> # Set custom resource type "cmp.com/hdw" in resource-types.xml
> # Set a value say 10 in node-resources.xml
> # Start cluster
> # Submit a distribute shell application which requests some "cmp.com/hdw"
> The AM will get an exception from CapacityScheduler and then failed. This bug
> doesn't exist in FairScheduler.
> {code:java}
> 2019-01-17 22:12:11,286 INFO distributedshell.ApplicationMaster: Requested
> container ask: Capability[<memory:2048, vCores:2, cmp.com/hdw:
> 2>]Priority[0]AllocationRequestId[0]ExecutionTypeRequest[{Execution Type:
> GUARANTEED, Enforce Execution Type: false}]Resource Profile[]
> 2019-01-17 22:12:12,326 ERROR impl.AMRMClientAsyncImpl: Exception on heartbeat
> org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid
> resource request! Cannot allocate containers as requested resource is greater
> than maximum allowed allocation. Requested resource type=[cmp.com/hdw],
> Requested resource=<memory:2048, vCores:2, cmp.com/hdw: 2>, maximum allowed
> allocation=<memory:8192, vCores:4>, please note that maximum allowed
> allocation is calculated by scheduler based on maximum resource of registered
> NodeManagers, which might be less than configured maximum
> allocation=<memory:8192, vCores:4, cmp.com/hdw: 9223372036854775807>
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:492)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:388)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:315)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:293)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:301)
> at
> org.apache.hadoop.yarn.server.resourcemanager.RMServerUtils.normalizeAndValidateRequests(RMServerUtils.java:250)
> at
> org.apache.hadoop.yarn.server.resourcemanager.DefaultAMSProcessor.allocate(DefaultAMSProcessor.java:240)
> at
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.constraint.processor.DisabledPlacementProcessor.allocate(DisabledPlacementProcessor.java:75)
> at
> org.apache.hadoop.yarn.server.resourcemanager.AMSProcessingChain.allocate(AMSProcessingChain.java:92)
> at
> org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:424)
> at
> org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
> ...{code}
> Did a roughly debugging, below method should return the wrong maximum
> capacity.
> DefaultAMSProcessor.java, Line 234.
> {code:java}
> Resource maximumCapacity =
> getScheduler().getMaximumResourceCapability(app.getQueue());{code}
> The above code seems should return "<memory:8192, vCores:4, cmp.com/hdw:10>"
> but returns "<memory:8192, vCores:4>".
--
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
