GitHub user CodingCat opened a pull request:
https://github.com/apache/spark/pull/468
SPARK-1556: bump jet3st version to 0.9.0
In Hadoop 2.2.x or newer, Jet3st 0.9.0 which defines
S3ServiceException/ServiceException is introduced, however, Spark still relies
on Jet3st 0.7.x which has no definition of these classes
What I met is as
```
14/04/21 19:30:53 INFO deprecation: mapred.job.id is deprecated. Instead,
use mapreduce.job.id
14/04/21 19:30:53 INFO deprecation: mapred.tip.id is deprecated. Instead,
use mapreduce.task.id
14/04/21 19:30:53 INFO deprecation: mapred.task.id is deprecated. Instead,
use mapreduce.task.attempt.id
14/04/21 19:30:53 INFO deprecation: mapred.task.is.map is deprecated.
Instead, use mapreduce.task.ismap
14/04/21 19:30:53 INFO deprecation: mapred.task.partition is deprecated.
Instead, use mapreduce.task.partition
java.lang.NoClassDefFoundError: org/jets3t/service/S3ServiceException
at
org.apache.hadoop.fs.s3native.NativeS3FileSystem.createDefaultStore(NativeS3FileSystem.java:280)
at
org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:270)
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$$iwC.<init>(<console>:15)
at $iwC$$iwC$$iwC.<init>(<console>:20)
at $iwC$$iwC.<init>(<console>:22)
at $iwC.<init>(<console>:24)
at <init>(<console>:26)
at .<init>(<console>:30)
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.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)
... 63 more
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/CodingCat/spark SPARK-1556
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/468.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #468
----
commit 398dbabd08ca46c0a5acfb035f25b637ecff63cd
Author: Nan Zhu <[email protected]>
Date: 2014-04-21T19:54:43Z
SPARK-1556: bump jet3st version to 0.9.0
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