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https://issues.apache.org/jira/browse/SPARK-2356?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14296775#comment-14296775
]
vijay commented on SPARK-2356:
------------------------------
This is how I worked around this in Windows:
* Download and extract
https://codeload.github.com/srccodes/hadoop-common-2.2.0-bin/zip/master
* Modify bin\spark-class2.cmd and add the hadoop.home.dir system property:
{code}
if not [%SPARK_SUBMIT_BOOTSTRAP_DRIVER%] == [] (
set SPARK_CLASS=1
"%RUNNER%" -Dhadoop.home.dir=C:\code\hadoop-common-2.2.0-bin-master
org.apache.spark.deploy.SparkSubmitDriverBootstrapper %BOOTSTRAP_ARGS%
) else (
"%RUNNER%" -Dhadoop.home.dir=C:\code\hadoop-common-2.2.0-bin-master -cp
"%CLASSPATH%" %JAVA_OPTS% %*
)
{code}
That being said, this is a workaround for what I consider a critical bug (if
spark indeed is meant to support windows).
> 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: Spark Core
> 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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