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https://issues.apache.org/jira/browse/SPARK-9515?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14660286#comment-14660286
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nirav patel commented on SPARK-9515:
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[~srowen] I just gave a reason why I can't use spark-submit script as you asked
in first comment. I agree this should be more forum question but I though NPE
is something you may wanna handle better.
> Creating JavaSparkContext with yarn-cluster mode throws NPE
> -----------------------------------------------------------
>
> Key: SPARK-9515
> URL: https://issues.apache.org/jira/browse/SPARK-9515
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 1.3.1
> Reporter: nirav patel
>
> I have spark application that runs agains YARN cluster. I run spark
> application as part of my web application. I can't use spark-submit script.
> Way I run it is `java -cp myApp.jar com.myapp.Application` which in turn
> initiate JavaSparkContext. It used to work with spark 1.0.2 and standalone
> cluster but now with 1.3.1 and yarn its failing.
> Caused by: java.lang.NullPointerException
> at
> org.apache.spark.deploy.yarn.ApplicationMaster$.sparkContextInitialized(ApplicationMaster.scala:580)
> at
> org.apache.spark.scheduler.cluster.YarnClusterScheduler.postStartHook(YarnClusterScheduler.scala:32)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:541)
> at
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:61)
> EDIT:
> I got it working with yarn-client mode however I want to test it out with
> yarn-cluster mode as well.
> Application design is, we create singleton SparkContext object and preload
> few RDDs in memory when our spring-boot application(tomcat container) starts.
> That allows us to submit subsequent spark jobs without overhead of creating
> new sparkContext and RDDs. It performs excellent for our SLA. We are serving
> real-time GLM in ms with that. I hope this is a reason enough why we can't
> use spark-submit script to submit a job.
> Code is pretty simple. This is how we create sparkContext
> SparkConf conf = new
> SparkConf().setAppName(appName.toString()).setMaster("yarn-client");
> conf.set("spark.eventLog.enabled", "true");
> conf.set("spark.executor.extraClassPath",
> "/opt/mapr/hbase/hbase-0.98.12/lib/*");
> conf.set("spark.cores.max", sparkCoreMax);
> conf.set("spark.executor.memory", sparkExecMem);
> conf.set("spark.executor.extraJavaOptions", executorJavaOPts);
> conf.set("spark.akka.threads", sparkDriverThreads);
> JavaSparkContext sparkContext = new JavaSparkContext(conf);
> This is how we actually run sprig-boot app.
> java
> -Dloader.path=myspringbootapp.jar,/spark/spark-1.3.1/lib,/opt/mapr/hadoop/hadoop-2.5.1/etc/hadoop,/opt/mapr/hadoop/hadoop-2.5.1/share/hadoop/yarn
> -XX:PermSize=512m -XX:MaxPermSize=512m -Xms1024m -jar myspringbootapp.jar
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