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Kousuke Saruta edited comment on SPARK-4267 at 11/12/14 8:07 PM: ----------------------------------------------------------------- Hi [~ozawa], On my YARN 2.5.1(JDK 1.7.0_60) cluster, Spark Shell works well. I built with following command. {code} sbt/sbt -Dhadoop.version=2.5.1 -Pyarn assembly {code} And launched Spark Shell with following command. {code} bin/spark-shell --master yarn --deploy-mode client --executor-cores 1 --driver-memory 512M --executor-memory 512M --num-executors 1 {code} And then, I ran job with following script. {code} sc.textFile("hdfs:///user/kou/LICENSE.txt").flatMap(line => line.split(" ")).map(word => (word, 1)).persist().reduceByKey((a, b) => a + b, 16).saveAsTextFile("hdfs:///user/kou/LICENSE.txt.count") {code} So I think the problem is not caused by the version of Hadoop. One possible case is that SparkContext#stop is called between instantiating SparkContext and running job accidentally. Did you see any ERROR log on the shell? was (Author: sarutak): Hi [~ozawa], On my YARN-2.5.1(JDK 1.7.0_60) cluster, Spark Shell works well. I built with following command. {code} sbt/sbt -Dhadoop.version=2.5.1 -Pyarn assembly {code} And launched Spark Shell with following command. {code} bin/spark-shell --master yarn --deploy-mode client --executor-cores 1 --driver-memory 512M --executor-memory 512M --num-executors 1 {code} And then, I ran job with following script. {code} sc.textFile("hdfs:///user/kou/LICENSE.txt").flatMap(line => line.split(" ")).map(word => (word, 1)).persist().reduceByKey((a, b) => a + b, 16).saveAsTextFile("hdfs:///user/kou/LICENSE.txt.count") {code} So I think the problem is not caused by the version of Hadoop. One possible case is that SparkContext#stop is called between instantiating SparkContext and running job accidentally. Did you see any ERROR log on the shell? > Failing to launch jobs on Spark on YARN with Hadoop 2.5.0 or later > ------------------------------------------------------------------ > > Key: SPARK-4267 > URL: https://issues.apache.org/jira/browse/SPARK-4267 > Project: Spark > Issue Type: Bug > Reporter: Tsuyoshi OZAWA > > Currently we're trying Spark on YARN included in Hadoop 2.5.1. Hadoop 2.5 > uses protobuf 2.5.0 so I compiled with protobuf 2.5.1 like this: > {code} > ./make-distribution.sh --name spark-1.1.1 --tgz -Pyarn > -Dhadoop.version=2.5.1 -Dprotobuf.version=2.5.0 > {code} > Then Spark on YARN fails to launch jobs with NPE. > {code} > $ bin/spark-shell --master yarn-client > scala> sc.textFile("hdfs:///user/ozawa/wordcountInput20G").flatMap(line > => line.split(" ")).map(word => (word, 1)).persist().reduceByKey((a, b) => a > + b, 16).saveAsTextFile("hdfs:///user/ozawa/sparkWordcountOutNew2"); > java.lang.NullPointerException > > > > at > org.apache.spark.SparkContext.defaultParallelism(SparkContext.scala:1284) > at > org.apache.spark.SparkContext.defaultMinPartitions(SparkContext.scala:1291) > > > > at > org.apache.spark.SparkContext.textFile$default$2(SparkContext.scala:480) > at $iwC$$iwC$$iwC$$iwC.<init>(<console>:13) > > > > at $iwC$$iwC$$iwC.<init>(<console>:18) > at $iwC$$iwC.<init>(<console>:20) > > > > at $iwC.<init>(<console>:22) > at <init>(<console>:24) > > > > at .<init>(<console>:28) > at .<clinit>(<console>) > > > > at .<init>(<console>:7) > at .<clinit>(<console>) > > > > at $print(<console>) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > > > > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > > > > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:789) > > > > at > org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1062) > at > org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:615) > > > > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:646) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:610) > > > > at > org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:823) > at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:868) > > > > at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:780) > at > org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:625) > > > > at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:633) > at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:638) > > > > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:963) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911) > > > > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911) > at > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > > > > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:911) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1006) > > > > at org.apache.spark.repl.Main$.main(Main.scala:31) > at org.apache.spark.repl.Main.main(Main.scala) > > > > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > > > > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > > > > at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:329) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75) > > > > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org