[jira] [Updated] (MAPREDUCE-2503) Job submission fails if mapreduce.cluster.local.dir is given URIs
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https://issues.apache.org/jira/browse/MAPREDUCE-2503?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Rajesh Veeranki updated MAPREDUCE-2503:
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Summary: Job submission fails if mapreduce.cluster.local.dir is given URIs
(was: Jub submission fails if mapreduce.cluster.local.dir is given URIs)
Job submission fails if mapreduce.cluster.local.dir is given URIs
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Key: MAPREDUCE-2503
URL: https://issues.apache.org/jira/browse/MAPREDUCE-2503
Project: Hadoop Map/Reduce
Issue Type: Bug
Components: tasktracker
Reporter: Eli Collins
Assignee: Ke Zhu
Priority: Minor
Job submission (specifically TaskTracker#localizeJobJarFile) fails if
{{mapreduce.cluster.local.dir}} has a URI with a scheme (eg
file:///home/eli/hadoop-dirs1/mr1) vs just the path component. MR
configuration parameters should accept full URIs to be consistent with common
and HDFS.
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[jira] [Commented] (MAPREDUCE-5903) If Kerberos Authentication is enabled, MapReduce job is failing on reducer phase
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https://issues.apache.org/jira/browse/MAPREDUCE-5903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14151089#comment-14151089
]
Rajesh Veeranki commented on MAPREDUCE-5903:
Hi Dapeng Sun,
Here's a snippet of my yarn-site.xml:
{code:title=yarn-site.xml|borderStyle=solid}
property
nameyarn.nodemanager.aux-services/name
valuemapreduce_shuffle/value
/property
property
nameyarn.nodemanager.aux-services.mapreduce_shuffle.class/name
valueorg.apache.hadoop.mapred.ShuffleHandler/value
/property
property
nameyarn.nodemanager.log-aggregation.compression-type/name
valuegz/value
/property
property
nameyarn.nodemanager.health-checker.script.path/name
value/etc/hadoop/conf/health_check/value
/property
property
nameyarn.nodemanager.container-executor.class/name
valueorg.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor/value
/property
property
nameyarn.nodemanager.linux-container-executor.group/name
valueyarn/value
/property
property
nameyarn.nodemanager.aux-services.mapreduce.shuffle.class/name
valueorg.apache.hadoop.mapred.ShuffleHandler/value
/property
{code}
Here's my container-executor.cfg
{code:title=container-executor.cfg}
yarn.nodemanager.local-dirs=/grid/hadoop/yarn/local
yarn.nodemanager.linux-container-executor.group=yarn
yarn.nodemanager.log-dirs=/var/log/hadoop/yarn
banned.users=hfds,bin,0
min.user.id=0
{code}
If Kerberos Authentication is enabled, MapReduce job is failing on reducer
phase
Key: MAPREDUCE-5903
URL: https://issues.apache.org/jira/browse/MAPREDUCE-5903
Project: Hadoop Map/Reduce
Issue Type: Bug
Affects Versions: 2.4.0
Environment: hadoop: 2.4.0.2.1.2.0
Reporter: Victor Kim
Priority: Critical
Labels: shuffle
I have 3-node cluster configuration: 1 ResourceManager and 3 NodeManagers,
Kerberos is enabled, have hdfs, yarn, mapred principals\keytabs.
ResourceManager and NodeManager are ran under yarn user, using yarn Kerberos
principal.
Use case 1: WordCount, submit job using yarn UGI (i.e. superuser, the one
having Kerberos principal on all boxes). Result: job successfully completed.
Use case 2: WordCount, submit job using LDAP user impersonation via yarn UGI.
Result: Map tasks are completed SUCCESSfully, Reduce task fails with
ShuffleError Caused by: java.io.IOException: Exceeded
MAX_FAILED_UNIQUE_FETCHES (see the stack trace below).
The use case with user impersonation used to work on earlier versions,
without YARN (with JTTT).
I found similar issue with Kerberos AUTH involved here:
https://groups.google.com/forum/#!topic/nosql-databases/tGDqs75ACqQ
And here https://issues.apache.org/jira/browse/MAPREDUCE-4030 it's marked as
resolved, which is not the case when Kerberos Authentication is enabled.
The exception trace from YarnChild JVM:
2014-05-21 12:49:35,687 FATAL [fetcher#3]
org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl: Shuffle failed
with too many fetch failures and insufficient progress!
2014-05-21 12:49:35,688 WARN [main] org.apache.hadoop.mapred.YarnChild:
Exception running child :
org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in
shuffle in fetcher#3
at
org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:167)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:416)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1557)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:162)
Caused by: java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES;
bailing-out.
at
org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.checkReducerHealth(ShuffleSchedulerImpl.java:323)
at
org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.copyFailed(ShuffleSchedulerImpl.java:245)
at
org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:347)
at
org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:165)
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[jira] [Commented] (MAPREDUCE-5903) If Kerberos Authentication is enabled, MapReduce job is failing on reducer phase
[ https://issues.apache.org/jira/browse/MAPREDUCE-5903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14150796#comment-14150796 ] Rajesh Veeranki commented on MAPREDUCE-5903: Hi, I seem to have encountered this bug.How i can see the exception trace of YarnChild? If Kerberos Authentication is enabled, MapReduce job is failing on reducer phase Key: MAPREDUCE-5903 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5903 Project: Hadoop Map/Reduce Issue Type: Bug Affects Versions: 2.4.0 Environment: hadoop: 2.4.0.2.1.2.0 Reporter: Victor Kim Priority: Critical Labels: shuffle I have 3-node cluster configuration: 1 ResourceManager and 3 NodeManagers, Kerberos is enabled, have hdfs, yarn, mapred principals\keytabs. ResourceManager and NodeManager are ran under yarn user, using yarn Kerberos principal. Use case 1: WordCount, submit job using yarn UGI (i.e. superuser, the one having Kerberos principal on all boxes). Result: job successfully completed. Use case 2: WordCount, submit job using LDAP user impersonation via yarn UGI. Result: Map tasks are completed SUCCESSfully, Reduce task fails with ShuffleError Caused by: java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES (see the stack trace below). The use case with user impersonation used to work on earlier versions, without YARN (with JTTT). I found similar issue with Kerberos AUTH involved here: https://groups.google.com/forum/#!topic/nosql-databases/tGDqs75ACqQ And here https://issues.apache.org/jira/browse/MAPREDUCE-4030 it's marked as resolved, which is not the case when Kerberos Authentication is enabled. The exception trace from YarnChild JVM: 2014-05-21 12:49:35,687 FATAL [fetcher#3] org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl: Shuffle failed with too many fetch failures and insufficient progress! 2014-05-21 12:49:35,688 WARN [main] org.apache.hadoop.mapred.YarnChild: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3 at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134) at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376) at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:167) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:416) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1557) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:162) Caused by: java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out. at org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.checkReducerHealth(ShuffleSchedulerImpl.java:323) at org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.copyFailed(ShuffleSchedulerImpl.java:245) at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:347) at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:165) -- This message was sent by Atlassian JIRA (v6.3.4#6332)
