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https://issues.apache.org/jira/browse/SPARK-2356?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14743531#comment-14743531
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Steve Loughran commented on SPARK-2356:
---------------------------------------

The original JIRA here is just that there's an error being printed out; in that 
specific example it is just noise. You can set the log in log4j to tell it not 
to log anything in {{org.apache.hadoop.util.Shell}} and you won't see this 
text. The other issues people are finding are actual problems; Hadoop and the 
libraries underneath are trying to load WINUTILS.EXE for real work -and failing

> Exception: Could not locate executable null\bin\winutils.exe in the Hadoop 
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-2356
>                 URL: https://issues.apache.org/jira/browse/SPARK-2356
>             Project: Spark
>          Issue Type: Bug
>          Components: Windows
>    Affects Versions: 1.0.0
>            Reporter: Kostiantyn Kudriavtsev
>            Priority: Critical
>
> I'm trying to run some transformation on Spark, it works fine on cluster 
> (YARN, linux machines). However, when I'm trying to run it on local machine 
> (Windows 7) under unit test, I got errors (I don't use Hadoop, I'm read file 
> from local filesystem):
> {code}
> 14/07/02 19:59:31 WARN NativeCodeLoader: Unable to load native-hadoop library 
> for your platform... using builtin-java classes where applicable
> 14/07/02 19:59:31 ERROR Shell: Failed to locate the winutils binary in the 
> hadoop binary path
> java.io.IOException: Could not locate executable null\bin\winutils.exe in the 
> Hadoop binaries.
>       at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:318)
>       at org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:333)
>       at org.apache.hadoop.util.Shell.<clinit>(Shell.java:326)
>       at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:76)
>       at org.apache.hadoop.security.Groups.parseStaticMapping(Groups.java:93)
>       at org.apache.hadoop.security.Groups.<init>(Groups.java:77)
>       at 
> org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:240)
>       at 
> org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:255)
>       at 
> org.apache.hadoop.security.UserGroupInformation.setConfiguration(UserGroupInformation.java:283)
>       at 
> org.apache.spark.deploy.SparkHadoopUtil.<init>(SparkHadoopUtil.scala:36)
>       at 
> org.apache.spark.deploy.SparkHadoopUtil$.<init>(SparkHadoopUtil.scala:109)
>       at 
> org.apache.spark.deploy.SparkHadoopUtil$.<clinit>(SparkHadoopUtil.scala)
>       at org.apache.spark.SparkContext.<init>(SparkContext.scala:228)
>       at org.apache.spark.SparkContext.<init>(SparkContext.scala:97)
> {code}
> It's happened because Hadoop config is initialized each time when spark 
> context is created regardless is hadoop required or not.
> I propose to add some special flag to indicate if hadoop config is required 
> (or start this configuration manually)



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