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From "Zhankun Tang (JIRA)" <j...@apache.org>
Subject [jira] [Created] (YARN-9205) When using custom resource type, application will fail to run due to the CapacityScheduler throws InvalidResourceRequestException(GREATER_THEN_MAX_ALLOCATION)
Date Thu, 17 Jan 2019 14:26:00 GMT
Zhankun Tang created YARN-9205:
----------------------------------

             Summary: 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
            Reporter: Zhankun Tang


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>".



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