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https://issues.apache.org/jira/browse/FLINK-23449?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17392798#comment-17392798
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Gabor Somogyi commented on FLINK-23449:
---------------------------------------

Sounds like an agreement.
[~yuchuanchen] since you have the best knowledge what makes sense to add to the 
user guide it would be good to open a PR and we're here to help get that 
merged. What do you think?
Worthless to mention the open PR can be closed since the direction has changed, 
right?


> YarnTaskExecutorRunner does  not contains MapReduce classes
> -----------------------------------------------------------
>
>                 Key: FLINK-23449
>                 URL: https://issues.apache.org/jira/browse/FLINK-23449
>             Project: Flink
>          Issue Type: Bug
>          Components: Connectors / Hive, Deployment / YARN
>    Affects Versions: 1.11.3
>         Environment: flink-1.11
> flink on yarn cluster
> jdk1.8
> hive1.2.1
> hadoop2.7
> hadoop classes is provided with  {{export HADOOP_CLASSPATH=`hadoop classpath` 
> when submitting test APP. (described in 
> [https://ci.apache.org/projects/flink/flink-docs-release-1.11/ops/deployment/hadoop.html]
>  )}}
> {{}}
>            Reporter: Kai Chen
>            Priority: Major
>              Labels: pull-request-available
>
> I followed instructions described in 
> [https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/table/hive] 
> and tested hive streaming sink, met this exception  
>       Caused by: java.lang.ClassNotFoundException: 
> org.apache.hadoop.mapred.JobConf
> [http://apache-flink.147419.n8.nabble.com/Flink-td7866.html] met the same 
> problem.
>  
> I checked TM jvm envs and the code and found that flink only set up 
> YARN_APPLICATION_CLASSPATH, but without MAPREDUCE_APPLICATION_CLASSPATH.
> See: 
> [https://github.com/apache/flink/blob/ed39fb2efc790af038c1babd4a48847b7b39f91e/flink-yarn/src/main/java/org/apache/flink/yarn/Utils.java#L119]
>  
> I think we should add MAPREDUCE_APPLICATION_CLASSPATH as well, as the same as 
> spark does.



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