spark-0.9.1 compiled with Hadoop 2.3.0 doesn't work with S3?
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
Re: spark-0.9.1 compiled with Hadoop 2.3.0 doesn't work with S3?
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
Re: spark-0.9.1 compiled with Hadoop 2.3.0 doesn't work with S3?
Yes, I fixed in the same way, but didn’t get a change to get back to here I also made a PR: https://github.com/apache/spark/pull/468 Best, -- Nan Zhu On Monday, April 21, 2014 at 8:19 PM, Parviz Deyhim wrote: 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 (mailto: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
