[
https://issues.apache.org/jira/browse/YARN-9205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zhankun Tang updated YARN-9205:
-------------------------------
Description:
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 might be caused by queue maximum allocation calculation issue:
AbstractCSQueue.java Line364
{code:java}
this.maximumAllocation =
configuration.getMaximumAllocationPerQueue(
getQueuePath());{code}
And this invokes CapacitySchedulerConfiguration.java Line 895:
{code:java}
Resource clusterMax = ResourceUtils.fetchMaximumAllocationFromConfig(this);
{code}
Passing a this which is not a YarnConfiguration instance will cause below code
return null for resource names and then only contains mandatory resources:
{code:java}
private static Map<String, ResourceInformation>
getResourceInformationMapFromConfig(
...
// NULL value here!
String[] resourceNames = conf.getStrings(YarnConfiguration.RESOURCE_TYPES);
{code}
was:
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 might be caused by queue maximum allocation calculation issue:
AbstractCSQueue.java Line364
{code:java}
this.maximumAllocation =
configuration.getMaximumAllocationPerQueue(
getQueuePath());{code}
> 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 might be caused by queue maximum allocation calculation issue:
> AbstractCSQueue.java Line364
> {code:java}
> this.maximumAllocation =
> configuration.getMaximumAllocationPerQueue(
> getQueuePath());{code}
> And this invokes CapacitySchedulerConfiguration.java Line 895:
> {code:java}
> Resource clusterMax = ResourceUtils.fetchMaximumAllocationFromConfig(this);
> {code}
> Passing a this which is not a YarnConfiguration instance will cause below
> code return null for resource names and then only contains mandatory
> resources:
> {code:java}
> private static Map<String, ResourceInformation>
> getResourceInformationMapFromConfig(
> ...
> // NULL value here!
> String[] resourceNames = conf.getStrings(YarnConfiguration.RESOURCE_TYPES);
> {code}
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