Amazon S3 Access Error

2016-04-06 Thread Joice Joy 
I am facing an S3 access error when using Spark 1.6.1 pre-built for Hadoop
2.6 or later.
But if I use Spark 1.6.1 pre-built for Hadoop 2.4 or later, it works.
Am I missing something that needs to be configured with Hadoop 2.6

PFB the error:
java.io.IOException: No FileSystem for scheme: s3n
at
org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2584)
at
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at
org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
at
org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:256)
at
org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228)
at
org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
at org.apache.spark.rdd.RDD.count(RDD.scala:1157)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:28)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:33)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:35)
at $iwC$$iwC$$iwC$$iwC$$iwC.(:37)
at $iwC$$iwC$$iwC$$iwC.(:39)
at $iwC$$iwC$$iwC.(:41)
at $iwC$$iwC.(:43)
at $iwC.(:45)
at (:47)
at .(:51)
at .()
at .(:7)
at .()
at $print()
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at
org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at
org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at
org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at
org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at
org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at org.apache.spark.repl.SparkILoop.org
$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at
scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org
$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
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:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

Re: Amazon S3 Access Error

2016-04-06 Thread Nezih Yigitbasi 
Did you take a look at this
 jira?

On Wed, Apr 6, 2016 at 6:44 PM Joice Joy  wrote:

> I am facing an S3 access error when using Spark 1.6.1 pre-built for Hadoop
> 2.6 or later.
> But if I use Spark 1.6.1 pre-built for Hadoop 2.4 or later, it works.
> Am I missing something that needs to be configured with Hadoop 2.6
>
> PFB the error:
> java.io.IOException: No FileSystem for scheme: s3n
> at
> org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2584)
> at
> org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)
> at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
> at
> org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
> at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
> at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
> at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
> at
> org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:256)
> at
> org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228)
> at
> org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
> at
> org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)
> at
> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at
> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at
> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at
> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at
> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at
> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
> at org.apache.spark.rdd.RDD.count(RDD.scala:1157)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:28)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:33)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:35)
> at $iwC$$iwC$$iwC$$iwC$$iwC.(:37)
> at $iwC$$iwC$$iwC$$iwC.(:39)
> at $iwC$$iwC$$iwC.(:41)
> at $iwC$$iwC.(:43)
> at $iwC.(:45)
> at (:47)
> at .(:51)
> at .()
> at .(:7)
> at .()
> at $print()
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at
> org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
> at
> org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
> at org.apache.spark.repl.SparkILoop.org
> $apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at org.apache.spark.repl.SparkILoop.org
> $apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> at org.apache.spark.repl.Main$.m