[ https://issues.apache.org/jira/browse/SPARK-2576?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust updated SPARK-2576: ------------------------------------ Fix Version/s: 1.0.2 > slave node throws NoClassDefFoundError $line11.$read$ when executing a Spark > QL query on HDFS CSV file > ------------------------------------------------------------------------------------------------------ > > Key: SPARK-2576 > URL: https://issues.apache.org/jira/browse/SPARK-2576 > Project: Spark > Issue Type: Bug > Components: Spark Core, SQL > Affects Versions: 1.0.1 > Environment: One Mesos 0.19 master without zookeeper and 4 mesos > slaves. > JDK 1.7.51 and Scala 2.10.4 on all nodes. > HDFS from CDH5.0.3 > Spark version: I tried both with the pre-built CDH5 spark package available > from http://spark.apache.org/downloads.html and by packaging spark with sbt > 0.13.2, JDK 1.7.51 and scala 2.10.4 as explained here > http://mesosphere.io/learn/run-spark-on-mesos/ > All nodes are running Debian 3.2.51-1 x86_64 GNU/Linux and have > Reporter: Svend Vanderveken > Assignee: Yin Huai > Priority: Blocker > Fix For: 1.0.2 > > > Execution of SQL query against HDFS systematically throws a class not found > exception on slave nodes when executing . > (this was originally reported on the user list: > http://apache-spark-user-list.1001560.n3.nabble.com/spark1-0-1-spark-sql-error-java-lang-NoClassDefFoundError-Could-not-initialize-class-line11-read-tc10135.html) > Sample code (ran from spark-shell): > {code} > val sqlContext = new org.apache.spark.sql.SQLContext(sc) > import sqlContext.createSchemaRDD > case class Car(timestamp: Long, objectid: String, isGreen: Boolean) > // I get the same error when pointing to the folder > "hdfs://vm28:8020/test/cardata" > val data = sc.textFile("hdfs://vm28:8020/test/cardata/part-00000") > val cars = data.map(_.split(",")).map ( ar => Car(ar(0).toLong, ar(1), > ar(2).toBoolean)) > cars.registerAsTable("mcars") > val allgreens = sqlContext.sql("SELECT objectid from mcars where isGreen = > true") > allgreens.collect.take(10).foreach(println) > {code} > Stack trace on the slave nodes: > {code} > I0716 13:01:16.215158 13631 exec.cpp:131] Version: 0.19.0 > I0716 13:01:16.219285 13656 exec.cpp:205] Executor registered on slave > 20140714-142853-485682442-5050-25487-2 > 14/07/16 13:01:16 INFO MesosExecutorBackend: Registered with Mesos as > executor ID 20140714-142853-485682442-5050-25487-2 > 14/07/16 13:01:16 INFO SecurityManager: Changing view acls to: > mesos,mnubohadoop > 14/07/16 13:01:16 INFO SecurityManager: SecurityManager: authentication > disabled; ui acls disabled; users with view permissions: Set(mesos, > mnubohadoop) > 14/07/16 13:01:17 INFO Slf4jLogger: Slf4jLogger started > 14/07/16 13:01:17 INFO Remoting: Starting remoting > 14/07/16 13:01:17 INFO Remoting: Remoting started; listening on addresses > :[akka.tcp://spark@vm23:38230] > 14/07/16 13:01:17 INFO Remoting: Remoting now listens on addresses: > [akka.tcp://spark@vm23:38230] > 14/07/16 13:01:17 INFO SparkEnv: Connecting to MapOutputTracker: > akka.tcp://spark@vm28:41632/user/MapOutputTracker > 14/07/16 13:01:17 INFO SparkEnv: Connecting to BlockManagerMaster: > akka.tcp://spark@vm28:41632/user/BlockManagerMaster > 14/07/16 13:01:17 INFO DiskBlockManager: Created local directory at > /tmp/spark-local-20140716130117-8ea0 > 14/07/16 13:01:17 INFO MemoryStore: MemoryStore started with capacity 294.9 > MB. > 14/07/16 13:01:17 INFO ConnectionManager: Bound socket to port 44501 with id > = ConnectionManagerId(vm23-hulk-priv.mtl.mnubo.com,44501) > 14/07/16 13:01:17 INFO BlockManagerMaster: Trying to register BlockManager > 14/07/16 13:01:17 INFO BlockManagerMaster: Registered BlockManager > 14/07/16 13:01:17 INFO HttpFileServer: HTTP File server directory is > /tmp/spark-ccf6f36c-2541-4a25-8fe4-bb4ba00ee633 > 14/07/16 13:01:17 INFO HttpServer: Starting HTTP Server > 14/07/16 13:01:18 INFO Executor: Using REPL class URI: http://vm28:33973 > 14/07/16 13:01:18 INFO Executor: Running task ID 2 > 14/07/16 13:01:18 INFO HttpBroadcast: Started reading broadcast variable 0 > 14/07/16 13:01:18 INFO MemoryStore: ensureFreeSpace(125590) called with > curMem=0, maxMem=309225062 > 14/07/16 13:01:18 INFO MemoryStore: Block broadcast_0 stored as values to > memory (estimated size 122.6 KB, free 294.8 MB) > 14/07/16 13:01:18 INFO HttpBroadcast: Reading broadcast variable 0 took > 0.294602722 s > 14/07/16 13:01:19 INFO HadoopRDD: Input split: > hdfs://vm28:8020/test/cardata/part-00000:23960450+23960451 > I0716 13:01:19.905113 13657 exec.cpp:378] Executor asked to shutdown > 14/07/16 13:01:20 ERROR Executor: Exception in task ID 2 > java.lang.NoClassDefFoundError: $line11/$read$ > at $line12.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:19) > at $line12.$read$$iwC$$iwC$$iwC$$iwC$$anonfun$2.apply(<console>:19) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$1.next(Iterator.scala:853) > at scala.collection.Iterator$$anon$1.head(Iterator.scala:840) > at > org.apache.spark.sql.execution.ExistingRdd$$anonfun$productToRowRdd$1.apply(basicOperators.scala:181) > at > org.apache.spark.sql.execution.ExistingRdd$$anonfun$productToRowRdd$1.apply(basicOperators.scala:176) > at org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:559) > at org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:559) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) > at org.apache.spark.scheduler.Task.run(Task.scala:51) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:183) > at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) > at java.lang.Thread.run(Unknown Source) > Caused by: java.lang.ClassNotFoundException: $line11.$read$ > at > org.apache.spark.repl.ExecutorClassLoader.findClass(ExecutorClassLoader.scala:65) > at java.lang.ClassLoader.loadClass(Unknown Source) > at java.lang.ClassLoader.loadClass(Unknown Source) > ... 27 more > Caused by: java.lang.ClassNotFoundException: $line11.$read$ > at java.lang.ClassLoader.findClass(Unknown Source) > at > org.apache.spark.util.ParentClassLoader.findClass(ParentClassLoader.scala:26) > at java.lang.ClassLoader.loadClass(Unknown Source) > at java.lang.ClassLoader.loadClass(Unknown Source) > at > org.apache.spark.util.ParentClassLoader.loadClass(ParentClassLoader.scala:30) > at > org.apache.spark.repl.ExecutorClassLoader.findClass(ExecutorClassLoader.scala:60) > ... 29 more > {code} > Note that running a simple map+reduce job on the same hdfs files with the > same installation works fine: > {code} > # this works > val data = sc.textFile("hdfs://vm28:8020/test/cardata/") > val lineLengths = data.map(s => s.length) > val totalLength = lineLengths.reduce((a, b) => a + b) > {code} > The hdfs files contain just plain csv files: > {code} > $ hdfs dfs -tail /test/cardata/part-00000 > 14/07/16 13:18:44 WARN util.NativeCodeLoader: Unable to load native-hadoop > library for your platform... using builtin-java classes where applicable > 1396396560000,2ea211cc-ea01-435a-a190-98a6dd5ccd0a,false,Ivory,chrysler,New > Caledonia,1970,0.0,0.0,0.0,0.0,38.24645296229051,99.41880649743675,26.619177092584696 > 1396396620000,2ea211cc-ea01-435a-a190-98a6dd5ccd0a,false,Ivory,chrysler,New > Caledonia,1970,1.3637951832478066,0.5913309707002152,56.6895043678199,96.54451566032114,100.76632815433682,92.29189473832957,7.009760456230157 > 1396396680000,2ea211cc-ea01-435a-a190-98a6dd5ccd0a,false,Ivory,chrysler,New > Caledonia,1970,-3.405565593143888,0.8104753585926928,41.677424397834905,36.57019235002255,8.974008103729105,92.94054149986701,11.673872282136195 > 1396396740000,2ea211cc-ea01-435a-a190-98a6dd5ccd0a,false,Ivory,chrysler,New > Caledonia,1970,2.6548062807597854,0.6180832371072019,40.88058181777176,24.47455760837969,37.42027121601756,93.97373842452362,16.48937328407166 > {code} > spark-env.sh look like this: > {code} > export SPARK_LOCAL_IP=vm28 > export > MESOS_NATIVE_LIBRARY=/usr/local/etc/mesos-0.19.0/build/src/.libs/libmesos.so > export > SPARK_EXECUTOR_URI=hdfs://vm28:8020/apps/spark/spark-1.0.1-2.3.0-mr1-cdh5.0.2-hive.tgz > {code} -- This message was sent by Atlassian JIRA (v6.2#6252)