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https://issues.apache.org/jira/browse/FLINK-9777?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16541793#comment-16541793
]
ASF GitHub Bot commented on FLINK-9777:
---------------------------------------
Github user yanghua commented on a diff in the pull request:
https://github.com/apache/flink/pull/6297#discussion_r202071052
--- Diff:
flink-yarn/src/main/java/org/apache/flink/yarn/cli/FlinkYarnSessionCli.java ---
@@ -386,10 +386,10 @@ private ClusterSpecification
createClusterSpecification(Configuration configurat
}
// JobManager Memory
- final int jobManagerMemoryMB =
MemorySize.parse(configuration.getString(JobManagerOptions.JOB_MANAGER_HEAP_MEMORY)).getMebiBytes();
+ final int jobManagerMemoryMB =
MemorySize.parse(configuration.getString(JobManagerOptions.JOB_MANAGER_HEAP_MEMORY),
MemorySize.MemoryUnit.MEGA_BYTES).getMebiBytes();
--- End diff --
to @GJL we can not use `.withDeprecatedKeys("jobmanager.heap.mb")` because
`jobmanager.heap.size` and `jobmanager.heap.mb` has different meaning. The
former can use different unit such **1g** but the latter can just measure with
**MB**.
to @dawidwys and @GJL , now the `jobmanager.heap.mb` just used in config
file, and can be calculated accurately, this is used for backwards
compatibility, but in the project, it is useless, all the place can be replaced
with `jobmanager.heap.size`, and the key in the code could not been exposed to
the user?
> YARN: JM and TM Memory must be specified with Units
> ----------------------------------------------------
>
> Key: FLINK-9777
> URL: https://issues.apache.org/jira/browse/FLINK-9777
> Project: Flink
> Issue Type: Bug
> Components: Documentation, YARN
> Affects Versions: 1.6.0
> Environment: commit 9f736d1927c62d220a82931c4f5ffa4955910f27
> Reporter: Gary Yao
> Assignee: vinoyang
> Priority: Blocker
> Labels: pull-request-available
> Fix For: 1.6.0
>
>
> FLINK-6469 breaks backwards compatibility because the JobManager and
> TaskManager memory must be specified with units (otherwise bytes are
> assumed). The command to start a YARN session as documented
> ([https://github.com/apache/flink/blob/9f736d1927c62d220a82931c4f5ffa4955910f27/docs/ops/deployment/yarn_setup.md)
>
> |https://github.com/apache/flink/blob/9f736d1927c62d220a82931c4f5ffa4955910f27/docs/ops/deployment/yarn_setup.md]
> would not work because 1024 bytes and 4096 bytes are not enough for the heap
> size. The command finishes with the following exception:
> {noformat}
> java.lang.reflect.UndeclaredThrowableException
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1854)
> at
> org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
> at
> org.apache.flink.yarn.cli.FlinkYarnSessionCli.main(FlinkYarnSessionCli.java:802)
> Caused by: org.apache.flink.client.deployment.ClusterDeploymentException:
> Couldn't deploy Yarn session cluster
> at
> org.apache.flink.yarn.AbstractYarnClusterDescriptor.deploySessionCluster(AbstractYarnClusterDescriptor.java:420)
> at
> org.apache.flink.yarn.cli.FlinkYarnSessionCli.run(FlinkYarnSessionCli.java:599)
> at
> org.apache.flink.yarn.cli.FlinkYarnSessionCli.lambda$main$2(FlinkYarnSessionCli.java:802)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836)
> ... 2 more
> Caused by: org.apache.flink.util.FlinkException: Cannot fulfill the minimum
> memory requirements with the provided cluster specification. Please increase
> the memory of the cluster.
> at
> org.apache.flink.yarn.AbstractYarnClusterDescriptor.validateClusterSpecification(AbstractYarnClusterDescriptor.java:453)
> at
> org.apache.flink.yarn.AbstractYarnClusterDescriptor.deployInternal(AbstractYarnClusterDescriptor.java:475)
> at
> org.apache.flink.yarn.AbstractYarnClusterDescriptor.deploySessionCluster(AbstractYarnClusterDescriptor.java:413)
> ... 7 more
> Caused by: java.lang.IllegalArgumentException
> at
> org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:123)
> at
> org.apache.flink.runtime.clusterframework.ContaineredTaskManagerParameters.calculateCutoffMB(ContaineredTaskManagerParameters.java:115)
> at
> org.apache.flink.yarn.AbstractYarnClusterDescriptor.validateClusterSpecification(AbstractYarnClusterDescriptor.java:450)
> ... 9 more
> {noformat}
>
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