This one is typically due to a mismatch between the Hadoop versions -- i.e., Spark is compiled against 1.0.4 but is running with 2.3.0 in the classpath, or something like that. Not certain why you're seeing this with spark-ec2, but I'm assuming this is related to the issues you posted in a separate thread.
On Mon, Jul 14, 2014 at 6:43 PM, Nicholas Chammas < nicholas.cham...@gmail.com> wrote: > Just launched an EC2 cluster from git hash > 9fe693b5b6ed6af34ee1e800ab89c8a11991ea38. Calling take() on an RDD > accessing data in S3 yields the following error output. > > I understand that NoClassDefFoundError errors may mean something in the > deployment was messed up. Is that correct? When I launch a cluster using > spark-ec2, I expect all critical deployment details to be taken care of by > the script. > > So is something in the deployment executed by spark-ec2 borked? > > Nick > > java.lang.NoClassDefFoundError: org/jets3t/service/S3ServiceException > at > org.apache.hadoop.fs.s3native.NativeS3FileSystem.createDefaultStore(NativeS3FileSystem.java:224) > at > org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:214) > at > org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1386) > at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:66) > at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1404) > at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:254) > at org.apache.hadoop.fs.Path.getFileSystem(Path.java:187) > at > org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:176) > at > org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208) > at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:176) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:201) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:201) > at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:201) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:201) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:201) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:201) > at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:71) > at > org.apache.spark.rdd.ShuffledRDD.getDependencies(ShuffledRDD.scala:79) > at > org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:190) > at > org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:188) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.dependencies(RDD.scala:188) > at > org.apache.spark.scheduler.DAGScheduler.getPreferredLocs(DAGScheduler.scala:1144) > at > org.apache.spark.SparkContext.getPreferredLocs(SparkContext.scala:903) > at > org.apache.spark.rdd.PartitionCoalescer.currPrefLocs(CoalescedRDD.scala:174) > at > org.apache.spark.rdd.PartitionCoalescer$LocationIterator$$anonfun$4$$anonfun$apply$2.apply(CoalescedRDD.scala:191) > at > org.apache.spark.rdd.PartitionCoalescer$LocationIterator$$anonfun$4$$anonfun$apply$2.apply(CoalescedRDD.scala:190) > at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) > at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:350) > at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:350) > at > org.apache.spark.rdd.PartitionCoalescer$LocationIterator.<init>(CoalescedRDD.scala:185) > at > org.apache.spark.rdd.PartitionCoalescer.setupGroups(CoalescedRDD.scala:236) > at org.apache.spark.rdd.PartitionCoalescer.run(CoalescedRDD.scala:337) > at > org.apache.spark.rdd.CoalescedRDD.getPartitions(CoalescedRDD.scala:83) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:201) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:201) > at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:201) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:201) > at org.apache.spark.rdd.RDD.take(RDD.scala:1036) > at $iwC$$iwC$$iwC$$iwC.<init>(<console>:26) > at $iwC$$iwC$$iwC.<init>(<console>:31) > at $iwC$$iwC.<init>(<console>:33) > at $iwC.<init>(<console>:35) > at <init>(<console>:37) > at .<init>(<console>:41) > at .<clinit>(<console>) > at .<init>(<console>:7) > at .<clinit>(<console>) > at $print(<console>) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788) > at > org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056) > at > org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609) > at > org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796) > at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841) > at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753) > at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:601) > at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:608) > at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:611) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:936) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884) > at > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982) > 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:303) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > Caused by: java.lang.ClassNotFoundException: > org.jets3t.service.S3ServiceException > at java.net.URLClassLoader$1.run(URLClassLoader.java:366) > at java.net.URLClassLoader$1.run(URLClassLoader.java:355) > at java.security.AccessController.doPrivileged(Native Method) > at java.net.URLClassLoader.findClass(URLClassLoader.java:354) > at java.lang.ClassLoader.loadClass(ClassLoader.java:425) > at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) > at java.lang.ClassLoader.loadClass(ClassLoader.java:358) > ... 92 more > > >