[SPARK-3972] PySpark Error on Windows with sc.wholeTextFiles - ASF JIRA

Details

Type: Bug
Status: Resolved
Priority: Minor
Resolution: Cannot Reproduce
Affects Version/s: 1.1.0
Fix Version/s: None
Component/s: Input/Output, PySpark, Windows
Labels:
None
Environment:

Windows 8.1 x64
Java SE Version 8 Update 20 (build 1.8.0_20-b26);
Python 2.7.7

Description

When running sc.wholeTextFiles() on a directory, I can run the command but not do anything with the resulting RDD – specifically, I get an error in py4j.protocol.Py4JJavaError; the error is unspecified. This occurs even if I can read the text file(s) individually with sc.textFile()

Steps followed:
1) Download Spark 1.1.0 (pre-builet for Hadoop 2.4: spark-1.1.0-bin-hadoop2.4.tgz)
2) Extract into folder at root of drive: *D:\spark*
3) Create test folder at *D:\testdata* with one (HTML) file contained within it.
4) Launch PySpark at *bin\PySpark*
5) Try to use sc.wholeTextFiles('d:/testdata'); fail.

Note: I followed instructions from the upcoming O'Reilly book Learning Spark for this. I do not have any related tools installed (e.g. Hadoop) on the Windows machine.

See session (below)with tracebacks from errors.

Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 1.1.0
      /_/

Using Python version 2.7.7 (default, Jun 11 2014 10:40:02)
SparkContext available as sc.
>>> file = sc.textFile("d:/testdata/0000cbcc5b470ec06f212990c68c8f76e887b884")
>>> file.count()
732
>>> file.first()
u'<!DOCTYPE html>'
>>> data = sc.wholeTextFiles('d:/testdata')
>>> data.first()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "D:\spark\python\pyspark\rdd.py", line 1167, in first
    return self.take(1)[0]
  File "D:\spark\python\pyspark\rdd.py", line 1126, in take
    totalParts = self._jrdd.partitions().size()
  File "D:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\java_gateway.py", line 538, in __call__
  File "D:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\protocol.py", line 300, in get_return_value 
py4j.protocol.Py4JJavaError: An error occurred while calling o21.partitions.
: java.lang.NullPointerException
        at java.lang.ProcessBuilder.start(Unknown Source)
        at org.apache.hadoop.util.Shell.runCommand(Shell.java:445)
        at org.apache.hadoop.util.Shell.run(Shell.java:418)
        at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:739)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:722)
        at org.apache.hadoop.fs.FileUtil.execCommand(FileUtil.java:1097)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.loadPermissionInfo(RawLocalFileSystem.java:559)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.getPermission(RawLocalFileSystem.java:534)
        at org.apache.hadoop.fs.LocatedFileStatus.<init>(LocatedFileStatus.java:42)
       at org.apache.hadoop.fs.FileSystem$4.next(FileSystem.java:1697)
        at org.apache.hadoop.fs.FileSystem$4.next(FileSystem.java:1679)
        at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:302)
        at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:263)
        at org.apache.spark.input.WholeTextFileInputFormat.setMaxSplitSize(WholeTextFileInputFormat.scala:54)
        at org.apache.spark.rdd.WholeTextFileRDD.getPartitions(NewHadoopRDD.scala:219)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
        at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:50)
        at org.apache.spark.api.java.JavaPairRDD.partitions(JavaPairRDD.scala:44)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
        at java.lang.reflect.Method.invoke(Unknown Source)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
        at py4j.Gateway.invoke(Gateway.java:259)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:207)
        at java.lang.Thread.run(Unknown Source)

>>> data.count()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "D:\spark\python\pyspark\rdd.py", line 847, in count
    return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
  File "D:\spark\python\pyspark\rdd.py", line 838, in sum
    return self.mapPartitions(lambda x: [sum(x)]).reduce(operator.add)
  File "D:\spark\python\pyspark\rdd.py", line 759, in reduce
    vals = self.mapPartitions(func).collect()
  File "D:\spark\python\pyspark\rdd.py", line 723, in collect
    bytesInJava = self._jrdd.collect().iterator()
  File "D:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\java_gateway.py", line 538, in __call__
  File "D:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o28.collect.
: java.lang.NullPointerException
        at java.lang.ProcessBuilder.start(Unknown Source)
        at org.apache.hadoop.util.Shell.runCommand(Shell.java:445)
        at org.apache.hadoop.util.Shell.run(Shell.java:418)
        at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:739)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:722)
        at org.apache.hadoop.fs.FileUtil.execCommand(FileUtil.java:1097)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.loadPermissionInfo(RawLocalFileSystem.java:559)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.getPermission(RawLocalFileSystem.java:534)
        at org.apache.hadoop.fs.LocatedFileStatus.<init>(LocatedFileStatus.java:42)
        at org.apache.hadoop.fs.FileSystem$4.next(FileSystem.java:1697)
        at org.apache.hadoop.fs.FileSystem$4.next(FileSystem.java:1679)
        at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:302)
        at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:263)
        at org.apache.spark.input.WholeTextFileInputFormat.setMaxSplitSize(WholeTextFileInputFormat.scala:54)
        at org.apache.spark.rdd.WholeTextFileRDD.getPartitions(NewHadoopRDD.scala:219)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
        at org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:56)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1135)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:774)
        at org.apache.spark.api.java.JavaRDDLike$class.collect(JavaRDDLike.scala:305)
        at org.apache.spark.api.java.JavaRDD.collect(JavaRDD.scala:32)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
        at java.lang.reflect.Method.invoke(Unknown Source)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
        at py4j.Gateway.invoke(Gateway.java:259)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:207)
        at java.lang.Thread.run(Unknown Source)
>>> data.map(lambda x: len(x)).take(1)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "D:\spark\python\pyspark\rdd.py", line 1126, in take
    totalParts = self._jrdd.partitions().size()
  File "D:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\java_gateway.py", line 538, in __call__
  File "D:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o61.partitions.
: java.lang.NullPointerException
        at java.lang.ProcessBuilder.start(Unknown Source)
        at org.apache.hadoop.util.Shell.runCommand(Shell.java:445)
        at org.apache.hadoop.util.Shell.run(Shell.java:418)
        at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:739)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:722)
        at org.apache.hadoop.fs.FileUtil.execCommand(FileUtil.java:1097)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.loadPermissionInfo(RawLocalFileSystem.java:559)
        at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.getPermission(RawLocalFileSystem.java:534)
        at org.apache.hadoop.fs.LocatedFileStatus.<init>(LocatedFileStatus.java:42)
        at org.apache.hadoop.fs.FileSystem$4.next(FileSystem.java:1697)
        at org.apache.hadoop.fs.FileSystem$4.next(FileSystem.java:1679)
        at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:302)
        at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:263)
        at org.apache.spark.input.WholeTextFileInputFormat.setMaxSplitSize(WholeTextFileInputFormat.scala:54)
        at org.apache.spark.rdd.WholeTextFileRDD.getPartitions(NewHadoopRDD.scala:219)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
        at org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:56)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
        at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:50)
        at org.apache.spark.api.java.JavaRDD.partitions(JavaRDD.scala:32)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
        at java.lang.reflect.Method.invoke(Unknown Source)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
        at py4j.Gateway.invoke(Gateway.java:259)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:207)
        at java.lang.Thread.run(Unknown Source)

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duplicates

SPARK-6961 Cannot save data to parquet files when executing from Windows from a Maven Project

Resolved

PySpark Error on Windows with sc.wholeTextFiles

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