Winutils Exe Hadoop

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  1. Cached
  2. Winutils.exe Hadoop Download
  3. Winutils.exe Hadoop 3.2
  • I don't have Windows environment, but one user who tried 2.2.0 release. On Windows reported that released tar ball doesn't contain. 'winutil.exe' and cannot run any commands. I confirmed that winutil.exe is not included in 2.2.0 bin tarball surely.
  • The exception occurs because WinUtils.exe is missing on Windows. To resolve this error, download the WinUtils executable to a location such as C: WinUtils bin. Then, add the environment variable HADOOPHOME, and set the value of the variable to C: WinUtils. Create a Spark Scala application for a Spark pool.
  • Hadoop requires native libraries on Windows to work properly -that includes accessing the file:// filesystem, where Hadoop uses some Windows APIs to implement posix-like file access permissions. This is implemented in HADOOP.DLL and WINUTILS.EXE. In particular,%HADOOPHOME% BIN WINUTILS.EXE must be locatable.

Sep 14, 2019 Step 2. Set HADOOPHOME and PATH – In your environment variables either using Control Panel ( available to all apps – recommended option) or on command prompt ( for the current session) – set HADOOPHOME as C:/hadoop or the path inside which you created bin directory where winutils.exe is present.

  • Status:Closed
  • Resolution: Not A Problem
  • Fix Version/s: None
  • Labels:
Winutils.exe hadoop 2.7 downloadWinutils Exe Hadoop

C:UsersWEI>pyspark
Python 3.5.6 |Anaconda custom (64-bit)| (default, Aug 26 2018, 16:05:27) [MSC v.
1900 64 bit (AMD64)] on win32
Type 'help', 'copyright', 'credits' or 'license' for more information.
2018-09-14 21:12:39 ERROR Shell:397 - Failed to locate the winutils binary in th
e hadoop binary path
java.io.IOException: Could not locate executable nullbinwinutils.exe in the Ha
doop binaries.
at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:379)
at org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:394)
at org.apache.hadoop.util.Shell.<clinit>(Shell.java:387)
at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:80)
at org.apache.hadoop.security.SecurityUtil.getAuthenticationMethod(Secur
ityUtil.java:611)
at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupI
nformation.java:273)
at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(Use
rGroupInformation.java:261)
at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(
UserGroupInformation.java:791)
at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGrou
pInformation.java:761)
at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGr
oupInformation.java:634)
at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils
.scala:2467)
at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils
.scala:2467)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2467)
at org.apache.spark.SecurityManager.<init>(SecurityManager.scala:220)
at org.apache.spark.deploy.SparkSubmit$.secMgr$lzycompute$1(SparkSubmit.
scala:408)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSub
mit$$secMgr$1(SparkSubmit.scala:408)
at org.apache.spark.deploy.SparkSubmit$$anonfun$doPrepareSubmitEnvironme
nt$7.apply(SparkSubmit.scala:416)
at org.apache.spark.deploy.SparkSubmit$$anonfun$doPrepareSubmitEnvironme
nt$7.apply(SparkSubmit.scala:416)
at scala.Option.map(Option.scala:146)
at org.apache.spark.deploy.SparkSubmit$.doPrepareSubmitEnvironment(Spark
Submit.scala:415)
at org.apache.spark.deploy.SparkSubmit$.prepareSubmitEnvironment(SparkSu
bmit.scala:250)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:171)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
2018-09-14 21:12:39 WARN NativeCodeLoader:62 - Unable to load native-hadoop lib
rary for your platform... using builtin-java classes where applicable
Setting default log level to 'WARN'.
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLeve
l(newLevel).
Welcome to
____ __
/ _/_ ___ ____/ /_
/ _ / _ `/ __/ '/
/__ / ._/_,// //_ version 2.3.1
/_/

Cached

Cached

Using Python version 3.5.6 (default, Aug 26 2018 16:05:27)
SparkSession available as 'spark'.
>>>

  • Assignee:
    Unassigned
    Reporter:
    WEI PENG

Winutils.exe Hadoop Download

Hadoop
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Hadoop

Winutils.exe Hadoop 3.2

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    Updated:
    Resolved: