[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16896678#comment-16896678
]
Abhishek Modi commented on YARN-9690:
-
Thanks [~Babbleshack]. I will help review that PR.
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Assignee: Abhishek Modi
>Priority: Major
> Attachments: applicationlog, distributed_log, ds_application.log,
> image-2019-07-26-18-00-14-980.png, nodemanager-yarn-site.xml,
> nodemanager.log, rm-yarn-site.xml, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
> at
> org.apache.hadoop.io.retry.RetryInvocati
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16896660#comment-16896660
]
Babble Shack commented on YARN-9690:
Thank you [~abmodi]
I found these setting earlier yesterday and was able to configure the cluster.
I will make a PR for the documentation explicitly identifying the hostname
parameter should be set in yarn-config.xml
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Assignee: Abhishek Modi
>Priority: Major
> Attachments: applicationlog, distributed_log, ds_application.log,
> image-2019-07-26-18-00-14-980.png, nodemanager-yarn-site.xml,
> nodemanager.log, rm-yarn-site.xml, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16896659#comment-16896659
]
Abhishek Modi commented on YARN-9690:
-
[~Babbleshack] thanks for filing the issue. Could you please try by setting
this in yarn-site.xml of both RM and NM:
yarn.resourcemanager.hostname to yarn-master-0.yarn-service.yarn
and then you can remove following configs:
yarn.resourcemanager.resource-tracker.address, yarn.resourcemanager.address.
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Priority: Major
> Attachments: applicationlog, distributed_log, ds_application.log,
> image-2019-07-26-18-00-14-980.png, nodemanager-yarn-site.xml,
> nodemanager.log, rm-yarn-site.xml, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationH
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16894019#comment-16894019
]
Babble Shack commented on YARN-9690:
I also tried disabling _yarn.resourcemanager.scheduler_ and using it default
value at the resource manager.
{code:java}
yarn.resourcemanager.scheduler.address
localhost:8049
-->
{code}
I then create a new config directory with the following
yarn.resourcemanager.scheduler.address
localhost:8049
And launching the job with
{code:java}
yarn --config /debug/hadoop/etc/hadoop jar $MAPRED_EXAMPLES pi
-Dmapreduce.job.num-opportunistic-maps-percent="40" 10 10
{code}
The nodemanager then tries to connect with scheduler on 0.0.0.0:8030, however
the amrmproxy has already started, and so the amrmproxy should respond by
redirecting the request to the Local RM
{code:java}
2019-07-26 17:32:25,480 INFO
org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl:
container_1564162333195_0001_01_01's ip = 10.244.29.84, and hostname =
yarn-worker-2.yarn-service.yarn.svc.cluster.local
2019-07-26 17:32:26,962 INFO SecurityLogger.org.apache.hadoop.ipc.Server: Auth
successful for appattempt_1564162333195_0001_01 (auth:SIMPLE)
2019-07-26 17:32:26,965 INFO
org.apache.hadoop.yarn.server.nodemanager.amrmproxy.AMRMProxyService:
Registering application master.
Host:yarn-worker-2.yarn-service.yarn.svc.cluster.local Port:42172 Tracking
Url:http://yarn-worker-2.yarn-service.yarn.svc.cluster.local:37110
2019-07-26 17:32:26,965 INFO
org.apache.hadoop.yarn.server.nodemanager.scheduler.DistributedScheduler:
Forwarding registration request to theDistributed Scheduler Service on YARN RM
2019-07-26 17:32:26,966 INFO
org.apache.hadoop.yarn.server.nodemanager.amrmproxy.DefaultRequestInterceptor:
Forwarding registerApplicationMasterForDistributedSchedulingrequest to the real
YARN RM
2019-07-26 17:32:27,971 INFO org.apache.hadoop.ipc.Client: Retrying connect to
server: 0.0.0.0/0.0.0.0:8030. Already tried 0 time(s); retry policy is
RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2019-07-26 17:32:28,485 INFO
org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl:
Skipping monitoring container container_1564162333195_0001_01_01 since CPU
usage is not yet available.
2019-07-26 17:32:28,971 INFO org.apache.hadoop.ipc.Client: Retrying connect to
server: 0.0.0.0/0.0.0.0:8030. Already tried 1 time(s); retry policy is
RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
{code}
However there is no service listening on 0.0.0.0:8030
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Priority: Major
> Attachments: applicationlog, distributed_log, ds_application.log,
> image-2019-07-26-18-00-14-980.png, nodemanager-yarn-site.xml,
> nodemanager.log, rm-yarn-site.xml, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16893981#comment-16893981
]
Babble Shack commented on YARN-9690:
Setting `yarn.resourcemanager.scheduler.address` does not throw the Invalid
AMRMToken, however the application master is unable to register with the
resource manager.
I have configured my resource manager, which is also the machine I submit MR
jobs from with the following
{code:java}
yarn.resourcemanager.scheduler.address
localhost:8049
{code}
{code:java}
{code}
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Priority: Major
> Attachments: applicationlog, distributed_log, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHan
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16893032#comment-16893032
]
Babble Shack commented on YARN-9690:
[~bibinchundatt] Would you be able to clarify what you mean by "This is client
side propery in case of mapreduce application."?
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Priority: Major
> Attachments: applicationlog, distributed_log, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
> at
> org.apache.hado
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16890883#comment-16890883
]
Babble Shack commented on YARN-9690:
[~bibinchundatt]
[^distributed_log]
I have tried with
{code:java}
yarn.resourcemanager.scheduler.address
0.0.0.0:8049
{code}
As you can see in my config.
I also tried with your suggestion (localhost instead of 0.0.0.0).
but that did not work either. I have attached an additional log
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Priority: Major
> Attachments: applicationlog, distributed_log, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invok
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16890681#comment-16890681
]
Bibin A Chundatt commented on YARN-9690:
[~Babbleshack]
Looks like the AM is trying to connect RM . As per the configuration mentioned
in following document
[Reference|https://hadoop.apache.org/docs/r3.2.0/hadoop-yarn/hadoop-yarn-site/OpportunisticContainers.html]
AM should connect to *AMRMProxy* in nodemanager
yarn.resourcemanager.scheduler.address localhost:8049 Redirects jobs to the
Node Manager’s AMRMProxy port.
This is client side propery in case of mapreduce application.
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Priority: Major
> Attachments: applicationlog, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.Retry
[jira] [Commented] (YARN-9690) Invalid AMRM token when distributed scheduling is enabled.
[
https://issues.apache.org/jira/browse/YARN-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16890254#comment-16890254
]
Babble Shack commented on YARN-9690:
I enabled some additional configuration
`yarn.nodemanager.amrmproxy.enabled` and set
`yarn.resourcemanager.scheduler.address` to `0.0.0.0:8049`
However I still get the same issue, in particular there is an excption whilst
registering application master, because of an invalid AMRM-token.
> Invalid AMRM token when distributed scheduling is enabled.
> --
>
> Key: YARN-9690
> URL: https://issues.apache.org/jira/browse/YARN-9690
> Project: Hadoop YARN
> Issue Type: Bug
> Components: distributed-scheduling, yarn
>Affects Versions: 2.9.2, 3.1.2
> Environment: OS: Ubuntu 18.04
> JVM: 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03
>Reporter: Babble Shack
>Priority: Major
> Attachments: applicationlog, yarn-site.xml
>
>
> Applications fail to start due to invalild AMRM from application attempt.
> I have tested this with 0/100% opportunistic maps and the same issue occurs
> regardless.
> {code:java}
>
> -->
>
>
> mapreduceyarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
> yarn.resourcemanager.address
> yarn-master-0.yarn-service.yarn:8032
>
>
> yarn.resourcemanager.scheduler.address
> 0.0.0.0:8049
>
>
>
> yarn.resourcemanager.opportunistic-container-allocation.enabled
> true
>
>
> yarn.nodemanager.opportunistic-containers-max-queue-length
> 10
>
>
> yarn.nodemanager.distributed-scheduling.enabled
> true
>
>
>
> yarn.webapp.ui2.enable
> true
>
>
> yarn.resourcemanager.resource-tracker.address
> yarn-master-0.yarn-service.yarn:8031
>
>
> yarn.log-aggregation-enable
> true
>
>
> yarn.nodemanager.aux-services
> mapreduce_shuffle
>
>
>
>
>
> yarn.nodemanager.resource.memory-mb
> 7168
>
>
> yarn.scheduler.minimum-allocation-mb
> 3584
>
>
> yarn.scheduler.maximum-allocation-mb
> 7168
>
>
> yarn.app.mapreduce.am.resource.mb
> 7168
>
>
>
> yarn.app.mapreduce.am.command-opts
> -Xmx5734m
>
>
>
> yarn.timeline-service.enabled
> true
>
>
> yarn.resourcemanager.system-metrics-publisher.enabled
> true
>
>
> yarn.timeline-service.generic-application-history.enabled
> true
>
>
> yarn.timeline-service.bind-host
> 0.0.0.0
>
>
> {code}
> Relevant logs:
> {code:java}
> 2019-07-22 14:56:37,104 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: 100% of the
> mappers will be scheduled using OPPORTUNISTIC containers
> 2019-07-22 14:56:37,117 INFO [main] org.apache.hadoop.yarn.client.RMProxy:
> Connecting to ResourceManager at
> yarn-master-0.yarn-service.yarn/10.244.1.134:8030
> 2019-07-22 14:56:37,150 WARN [main] org.apache.hadoop.ipc.Client: Exception
> encountered while connecting to the server :
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> Invalid AMRMToken from appattempt_1563805140414_0002_02
> 2019-07-22 14:56:37,152 ERROR [main]
> org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator: Exception while
> registering
> org.apache.hadoop.security.token.SecretManager$InvalidToken: Invalid
> AMRMToken from appattempt_1563805140414_0002_02
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.instantiateIOException(RPCUtil.java:80)
> at
> org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:119)
> at
> org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.registerApplicationMaster(ApplicationMasterProtocolPBClientImpl.java:109)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandl
