Bogdan Niculescu created SPARK-6961:
---------------------------------------

             Summary: Cannot save data to parquet files when executing from 
Windows from a Maven Project
                 Key: SPARK-6961
                 URL: https://issues.apache.org/jira/browse/SPARK-6961
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.3.0
            Reporter: Bogdan Niculescu
            Priority: Blocker


I have setup a project where I am trying to save a DataFrame into a parquet 
file. My project is a Maven one with Spark 1.3.0 and Scala 2.11.5 :
{code:xml}
<spark.version>1.3.0</spark.version>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>
{code}

A simple version of my code that reproduces consistently the problem that I am 
seeing is :
{code}
import org.apache.spark.sql.SQLContext
import org.apache.spark.{SparkConf, SparkContext}

case class Person(name: String, age: Int)

object DataFrameTest extends App {
  val conf = new SparkConf().setMaster("local[4]").setAppName("DataFrameTest")
  val sc = new SparkContext(conf)
  val sqlContext = new SQLContext(sc)

  val persons = List(Person("a", 1), Person("b", 2))
  val rdd = sc.parallelize(persons)
  val dataFrame = sqlContext.createDataFrame(rdd)

  dataFrame.saveAsParquetFile("test.parquet")
}
{code}

All the time the exception that I am getting is :
{code}
Exception in thread "main" java.lang.NullPointerException
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1010)
        at org.apache.hadoop.util.Shell.runCommand(Shell.java:404)
        at org.apache.hadoop.util.Shell.run(Shell.java:379)
        at 
org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:589)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:678)
        at org.apache.hadoop.util.Shell.execCommand(Shell.java:661)
        at 
org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:639)
        at 
org.apache.hadoop.fs.FilterFileSystem.setPermission(FilterFileSystem.java:468)
        at 
org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:456)
        at 
org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:424)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:905)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:886)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:783)
        at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:772)
        at 
parquet.hadoop.ParquetFileWriter.writeMetadataFile(ParquetFileWriter.java:409)
        at 
parquet.hadoop.ParquetFileWriter.writeMetadataFile(ParquetFileWriter.java:401)
        at 
org.apache.spark.sql.parquet.ParquetTypesConverter$.writeMetaData(ParquetTypes.scala:443)
        at 
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache.prepareMetadata(newParquet.scala:240)
        at 
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$6.apply(newParquet.scala:256)
        at 
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$6.apply(newParquet.scala:251)
        at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
        at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
        at scala.collection.immutable.List.map(List.scala:285)
        at 
org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache.refresh(newParquet.scala:251)
        at 
org.apache.spark.sql.parquet.ParquetRelation2.<init>(newParquet.scala:370)
        at 
org.apache.spark.sql.parquet.DefaultSource.createRelation(newParquet.scala:96)
        at 
org.apache.spark.sql.parquet.DefaultSource.createRelation(newParquet.scala:125)
        at org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:308)
        at org.apache.spark.sql.DataFrame.save(DataFrame.scala:1123)
        at org.apache.spark.sql.DataFrame.saveAsParquetFile(DataFrame.scala:922)
        at 
sparkTest.DataFrameTest$.delayedEndpoint$sparkTest$DataFrameTest$1(DataFrameTest.scala:17)
        at sparkTest.DataFrameTest$delayedInit$body.apply(DataFrameTest.scala:8)
        at scala.Function0$class.apply$mcV$sp(Function0.scala:40)
        at 
scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
        at scala.App$$anonfun$main$1.apply(App.scala:76)
        at scala.App$$anonfun$main$1.apply(App.scala:76)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at 
scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
        at scala.App$class.main(App.scala:76)
        at sparkTest.DataFrameTest$.main(DataFrameTest.scala:8)
        at sparkTest.DataFrameTest.main(DataFrameTest.scala)
        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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:134)
{code}



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