I ran into the same issue. The problem seems to be with the jets3t library
that Spark uses in project/SparkBuild.scala.
change this:
"net.java.dev.jets3t" % "jets3t" % "0.7.1"
to
"net.java.dev.jets3t" % "jets3t" % "0.9.0"
"0.7.1" is not the right version of jets3t for Hadoop 2.3.0
On Mon, Apr 21, 2014 at 11:30 AM, Nan Zhu <zhunanmcg...@gmail.com> wrote:
> Hi, all
>
> I’m writing a Spark application to load S3 data to HDFS,
>
> the HDFS version is 2.3.0, so I have to compile Spark with Hadoop 2.3.0
>
> after I execute
>
> val allfiles = sc.textFile("s3n://abc/*.txt”)
>
> val output = allfiles.saveAsTextFile("hdfs://x.x.x.x:9000/dataset”)
>
> Spark throws exception: (actually related to Hadoop?)
>
> java.lang.NoClassDefFoundError: org/jets3t/service/ServiceException
>
> at
> org.apache.hadoop.fs.s3.S3FileSystem.createDefaultStore(S3FileSystem.java:100)
>
> at org.apache.hadoop.fs.s3.S3FileSystem.initialize(S3FileSystem.java:90)
>
> at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2316)
>
> at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:90)
>
> at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2350)
>
> at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2332)
>
> at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:369)
>
> at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
>
> at
> org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:221)
>
> at
> org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:270)
>
> at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:140)
>
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
>
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
>
> at scala.Option.getOrElse(Option.scala:120)
>
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
>
> at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
>
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
>
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
>
> at scala.Option.getOrElse(Option.scala:120)
>
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
>
> at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
>
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
>
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
>
> at scala.Option.getOrElse(Option.scala:120)
>
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
>
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:891)
>
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:741)
>
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:692)
>
> at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:574)
>
> at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:900)
>
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:14)
>
> at $iwC$$iwC$$iwC.<init>(<console>:19)
>
> at $iwC$$iwC.<init>(<console>:21)
>
> at $iwC.<init>(<console>:23)
>
> at <init>(<console>:25)
>
> at .<init>(<console>:29)
>
> 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:772)
>
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1040)
>
> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:609)
>
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:640)
>
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:604)
>
> at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:793)
>
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:838)
>
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:750)
>
> at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:598)
>
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:605)
>
> at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:608)
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:931)
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:881)
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:881)
>
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
>
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:881)
>
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:973)
>
> at org.apache.spark.repl.Main$.main(Main.scala:31)
>
> at org.apache.spark.repl.Main.main(Main.scala)
>
> Caused by: java.lang.ClassNotFoundException:
> org.jets3t.service.ServiceException
>
> 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)
>
> ... 63 more
>
>
> Anyone else met the similar problem?
>
> Best,
>
> --
> Nan Zhu
>
>
>
