Ankur, The JavaKinesisWordCountASLYARN is no longer valid and was added just to the EMR build back in 1.1.0 to demonstrate Spark Streaming with Kinesis in YARN, just follow the stock example as seen in JavaKinesisWordCountASL as it is better form anyway given it is best not to hard code the master setting.
Thanks Christopher From: Ankur Jain [mailto:ankur.j...@yash.com] Sent: Wednesday, March 25, 2015 10:24 PM To: Arush Kharbanda Cc: user@spark.apache.org Subject: RE: JavaKinesisWordCountASLYARN Example not working on EMR I had installed spark via bootstrap in EMR. https://github.com/awslabs/emr-bootstrap-actions/tree/master/spark However when I run spark without yarn (local) and that one is working fine….. Thanks Ankur From: Arush Kharbanda [mailto:ar...@sigmoidanalytics.com] Sent: Wednesday, March 25, 2015 7:31 PM To: Ankur Jain Cc: user@spark.apache.org Subject: Re: JavaKinesisWordCountASLYARN Example not working on EMR Did you built for kineses using profile -Pkinesis-asl On Wed, Mar 25, 2015 at 7:18 PM, ankur.jain <ankur.j...@yash.com<mailto:ankur.j...@yash.com>> wrote: Hi, I am trying to run a Spark on YARN program provided by Spark in the examples directory using Amazon Kinesis on EMR cluster : I am using Spark 1.3.0 and EMR AMI: 3.5.0 I've setup the Credentials export AWS_ACCESS_KEY_ID=XXXXXX export AWS_SECRET_KEY=XXXXXXX *A) This is the Kinesis Word Count Producer which ran Successfully : * run-example org.apache.spark.examples.streaming.KinesisWordCountProducerASL mySparkStream https://kinesis.us-east-1.amazonaws.com 1 5 *B) This one is the Normal Consumer using Spark Streaming which also ran Successfully: * run-example org.apache.spark.examples.streaming.JavaKinesisWordCountASL mySparkStream https://kinesis.us-east-1.amazonaws.com *C) And this is the YARN based program which is NOT WORKING: * run-example org.apache.spark.examples.streaming.JavaKinesisWordCountASLYARN mySparkStream https://kinesis.us-east-1.amazonaws.com\ Spark assembly has been built with Hive, including Datanucleus jars on classpath 15/03/25 11:52:45 INFO spark.SparkContext: Running Spark version 1.3.0 15/03/25 11:52:45 WARN spark.SparkConf: SPARK_CLASSPATH was detected (set to '/home/hadoop/spark/conf:/home/hadoop/conf:/home/hadoop/spark/classpath/emr/:/home/hadoop/spark/classpath/emrfs/:/home/hadoop/share/hadoop/common/lib/*:/home/hadoop/share/hadoop/common/lib/hadoop-lzo.jar'). This is deprecated in Spark 1.0+. Please instead use: • ./spark-submit with --driver-class-path to augment the driver classpath • spark.executor.extraClassPath to augment the executor classpath 15/03/25 11:52:45 WARN spark.SparkConf: Setting 'spark.executor.extraClassPath' to '/home/hadoop/spark/conf:/home/hadoop/conf:/home/hadoop/spark/classpath/emr/:/home/hadoop/spark/classpath/emrfs/:/home/hadoop/share/hadoop/common/lib/:/home/hadoop/share/hadoop/common/lib/hadoop-lzo.jar' as a work-around. 15/03/25 11:52:45 WARN spark.SparkConf: Setting 'spark.driver.extraClassPath' to '/home/hadoop/spark/conf:/home/hadoop/conf:/home/hadoop/spark/classpath/emr/:/home/hadoop/spark/classpath/emrfs/:/home/hadoop/share/hadoop/common/lib/:/home/hadoop/share/hadoop/common/lib/hadoop-lzo.jar' as a work-around. 15/03/25 11:52:46 INFO spark.SecurityManager: Changing view acls to: hadoop 15/03/25 11:52:46 INFO spark.SecurityManager: Changing modify acls to: hadoop 15/03/25 11:52:46 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); users with modify permissions: Set(hadoop) 15/03/25 11:52:47 INFO slf4j.Slf4jLogger: Slf4jLogger started 15/03/25 11:52:48 INFO Remoting: Starting remoting 15/03/25 11:52:48 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@ip-10-80-175-92.ec2.internal:59504] 15/03/25 11:52:48 INFO util.Utils: Successfully started service 'sparkDriver' on port 59504. 15/03/25 11:52:48 INFO spark.SparkEnv: Registering MapOutputTracker 15/03/25 11:52:48 INFO spark.SparkEnv: Registering BlockManagerMaster 15/03/25 11:52:48 INFO storage.DiskBlockManager: Created local directory at /mnt/spark/spark-120befbc-6dae-4751-b41f-dbf7b3d97616/blockmgr-d339d180-36f5-465f-bda3-cecccb23b1d3 15/03/25 11:52:48 INFO storage.MemoryStore: MemoryStore started with capacity 265.4 MB 15/03/25 11:52:48 INFO spark.HttpFileServer: HTTP File server directory is /mnt/spark/spark-85e88478-3dad-4fcf-a43a-efd15166bef3/httpd-6115870a-0d90-44df-aa7c-a6bd1a47e107 15/03/25 11:52:48 INFO spark.HttpServer: Starting HTTP Server 15/03/25 11:52:49 INFO server.Server: jetty-8.y.z-SNAPSHOT 15/03/25 11:52:49 INFO server.AbstractConnector: Started SocketConnector@0.0.0.0:44879<http://SocketConnector@0.0.0.0:44879> 15/03/25 11:52:49 INFO util.Utils: Successfully started service 'HTTP file server' on port 44879. 15/03/25 11:52:49 INFO spark.SparkEnv: Registering OutputCommitCoordinator 15/03/25 11:52:49 INFO server.Server: jetty-8.y.z-SNAPSHOT 15/03/25 11:52:49 INFO server.AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040<http://SelectChannelConnector@0.0.0.0:4040> 15/03/25 11:52:49 INFO util.Utils: Successfully started service 'SparkUI' on port 4040. 15/03/25 11:52:49 INFO ui.SparkUI: Started SparkUI at http://ip-10-80-175-92.ec2.internal:4040 15/03/25 11:52:50 INFO spark.SparkContext: Added JAR file:/home/hadoop/spark/lib/spark-examples-1.3.0-hadoop2.4.0.jar at http://10.80.175.92:44879/jars/spark-examples-1.3.0-hadoop2.4.0.jar with timestamp 1427284370358 15/03/25 11:52:50 INFO cluster.YarnClusterScheduler: Created YarnClusterScheduler 15/03/25 11:52:51 ERROR cluster.YarnClusterSchedulerBackend: Application ID is not set. 15/03/25 11:52:51 INFO netty.NettyBlockTransferService: Server created on 49982 15/03/25 11:52:51 INFO storage.BlockManagerMaster: Trying to register BlockManager 15/03/25 11:52:51 INFO storage.BlockManagerMasterActor: Registering block manager ip-10-80-175-92.ec2.internal:49982 with 265.4 MB RAM, BlockManagerId(, ip-10-80-175-92.ec2.internal, 49982) 15/03/25 11:52:51 INFO storage.BlockManagerMaster: Registered BlockManager *Exception in thread "main" java.lang.NullPointerException* *at org.apache.spark.deploy.yarn.ApplicationMaster$.sparkContextInitialized(ApplicationMaster.scala:581)* at org.apache.spark.scheduler.cluster.YarnClusterScheduler.postStartHook(YarnClusterScheduler.scala:32) at org.apache.spark.SparkContext.(SparkContext.scala:541) at org.apache.spark.streaming.StreamingContext$.createNewSparkContext(StreamingContext.scala:642) at org.apache.spark.streaming.StreamingContext.(StreamingContext.scala:75) at org.apache.spark.streaming.api.java.JavaStreamingContext.(JavaStreamingContext.scala:132) at org.apache.spark.examples.streaming.JavaKinesisWordCountASLYARN.main(JavaKinesisWordCountASLYARN.java:127) 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$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/JavaKinesisWordCountASLYARN-Example-not-working-on-EMR-tp22226.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org<mailto:user-unsubscr...@spark.apache.org> For additional commands, e-mail: user-h...@spark.apache.org<mailto:user-h...@spark.apache.org> -- [Sigmoid Analytics]<http://htmlsig.com/www.sigmoidanalytics.com> Arush Kharbanda || Technical Teamlead ar...@sigmoidanalytics.com<mailto:ar...@sigmoidanalytics.com> || www.sigmoidanalytics.com<http://www.sigmoidanalytics.com/> 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