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https://issues.apache.org/jira/browse/SPARK-29465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16951581#comment-16951581
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Sandeep Katta commented on SPARK-29465:
---------------------------------------

I see as per the comments in the [code 
|https://github.com/apache/spark/blob/master/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala#L212]
 behavior is correct. User can submit more spark applications in the same box.

ping [~hyukjin.kwon] [~dongjoon] what's your suggesstion

> Unable to configure SPARK UI (spark.ui.port) in spark yarn cluster mode. 
> -------------------------------------------------------------------------
>
>                 Key: SPARK-29465
>                 URL: https://issues.apache.org/jira/browse/SPARK-29465
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Submit, YARN
>    Affects Versions: 1.6.2, 2.4.4
>            Reporter: Vishwas Nalka
>            Priority: Major
>
>  I'm trying to restrict the ports used by spark app which is launched in yarn 
> cluster mode. All ports (viz. driver, executor, blockmanager) could be 
> specified using the respective properties except the ui port. The spark app 
> is launched using JAVA code and setting the property spark.ui.port in 
> sparkConf doesn't seem to help. Even setting a JVM option 
> -Dspark.ui.port="some_port" does not spawn the UI is required port. 
> From the logs of the spark app, *_the property spark.ui.port is overridden 
> and the JVM property '-Dspark.ui.port=0' is set_* even though it is never set 
> to 0. 
> _(Run in Spark 1.6.2) From the logs ->_
> _command:LD_LIBRARY_PATH="/usr/hdp/2.6.4.0-91/hadoop/lib/native:$LD_LIBRARY_PATH"
>  {{JAVA_HOME}}/bin/java -server -XX:OnOutOfMemoryError='kill %p' -Xms4096m 
> -Xmx4096m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.blockManager.port=9900' 
> '-Dspark.driver.port=9902' '-Dspark.fileserver.port=9903' 
> '-Dspark.broadcast.port=9904' '-Dspark.port.maxRetries=20' 
> '-Dspark.ui.port=0' '-Dspark.executor.port=9905'_
> _19/10/14 16:39:59 INFO Utils: Successfully started service 'SparkUI' on port 
> 35167.19/10/14 16:39:59 INFO SparkUI: Started SparkUI at_ 
> [_http://10.65.170.98:35167_|http://10.65.170.98:35167/]
> Even tried using a *spark-submit command with --conf spark.ui.port* does 
> spawn UI in required port
> {color:#172b4d}_(Run in Spark 2.4.4)_{color}
>  {color:#172b4d}_./bin/spark-submit --class org.apache.spark.examples.SparkPi 
> --master yarn --deploy-mode cluster --driver-memory 4g --executor-memory 2g 
> --executor-cores 1 --conf spark.ui.port=12345 --conf spark.driver.port=12340 
> --queue default examples/jars/spark-examples_2.11-2.4.4.jar 10_{color}
> _From the logs::_
>  _19/10/15 00:04:05 INFO ui.SparkUI: Stopped Spark web UI at 
> [http://invrh74ace005.informatica.com:46622|http://invrh74ace005.informatica.com:46622/]_
> _command:{{JAVA_HOME}}/bin/java -server -Xmx2048m 
> -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.ui.port=0'  'Dspark.driver.port=12340' 
> -Dspark.yarn.app.container.log.dir=<LOG_DIR> -XX:OnOutOfMemoryError='kill %p' 
> org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url 
> spark://coarsegrainedschedu...@invrh74ace005.informatica.com:12340 
> --executor-id <executorId> --hostname <hostname> --cores 1 --app-id 
> application_1570992022035_0089 --user-class-path 
> [file:$PWD/__app__.jar1|file://%24pwd/__app__.jar1]><LOG_DIR>/stdout2><LOG_DIR>/stderr_
>  
> Looks like the application master override this and set a JVM property before 
> launch resulting in random UI port even though spark.ui.port is set by the 
> user.
> In these links
>  # 
> [https://github.com/apache/spark/blob/master/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala]
>  (line 214)
>  # 
> [https://github.com/cloudera/spark/blob/master/yarn/alpha/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala]
>  (line 75)
> I can see that the method _*run() in above files sets a system property 
> UI_PORT*_ and _*spark.ui.port respectively.*_



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