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Posted to issues@spark.apache.org by "Franz Wimmer (JIRA)" <ji...@apache.org> on 2017/09/15 14:55:00 UTC
[jira] [Commented] (SPARK-22028) spark-submit trips over
environment variables
[ https://issues.apache.org/jira/browse/SPARK-22028?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16167970#comment-16167970 ]
Franz Wimmer commented on SPARK-22028:
--------------------------------------
The Error with the Hadoop binaries is normal for this system - I'm asking because of the exception below.
> spark-submit trips over environment variables
> ---------------------------------------------
>
> Key: SPARK-22028
> URL: https://issues.apache.org/jira/browse/SPARK-22028
> Project: Spark
> Issue Type: Bug
> Components: Deploy
> Affects Versions: 2.1.1
> Environment: Operating System: Windows 10
> Shell: CMD or bash.exe, both with the same result
> Reporter: Franz Wimmer
> Labels: windows
>
> I have a strange environment variable in my Windows operating system:
> {code:none}
> C:\Path>set ""
> =::=::\
> {code}
> According to [this issue at stackexchange|https://unix.stackexchange.com/a/251215/251326], this is some sort of old MS-DOS relict that interacts with cygwin shells.
> Leaving that aside for a moment, Spark tries to read environment variables on submit and trips over it:
> {code:none}
> ./spark-submit.cmd
> Running Spark using the REST application submission protocol.
> Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
> 17/09/15 15:57:51 INFO RestSubmissionClient: Submitting a request to launch an application in spark://********:31824.
> 17/09/15 15:58:01 WARN RestSubmissionClient: Unable to connect to server spark://*******:31824.
> Warning: Master endpoint spark://********:31824 was not a REST server. Falling back to legacy submission gateway instead.
> 17/09/15 15:58:02 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: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(SecurityUtil.java:611)
> at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:273)
> at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:261)
> at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:791)
> at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:761)
> at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:634)
> at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2391)
> at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2391)
> at scala.Option.getOrElse(Option.scala:121)
> at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2391)
> at org.apache.spark.SecurityManager.<init>(SecurityManager.scala:221)
> at org.apache.spark.deploy.Client$.main(Client.scala:230)
> at org.apache.spark.deploy.Client.main(Client.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
> at java.lang.reflect.Method.invoke(Unknown Source)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:743)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 17/09/15 15:58:02 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
> 17/09/15 15:58:08 ERROR ClientEndpoint: Exception from cluster was: java.lang.IllegalArgumentException: Invalid environment variable name: "=::"
> java.lang.IllegalArgumentException: Invalid environment variable name: "=::"
> at java.lang.ProcessEnvironment.validateVariable(ProcessEnvironment.java:114)
> at java.lang.ProcessEnvironment.access$200(ProcessEnvironment.java:61)
> at java.lang.ProcessEnvironment$Variable.valueOf(ProcessEnvironment.java:170)
> at java.lang.ProcessEnvironment$StringEnvironment.put(ProcessEnvironment.java:242)
> at java.lang.ProcessEnvironment$StringEnvironment.put(ProcessEnvironment.java:221)
> at org.apache.spark.deploy.worker.CommandUtils$$anonfun$buildProcessBuilder$2.apply(CommandUtils.scala:55)
> at org.apache.spark.deploy.worker.CommandUtils$$anonfun$buildProcessBuilder$2.apply(CommandUtils.scala:54)
> at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
> at scala.collection.immutable.HashMap$HashMap1.foreach(HashMap.scala:221)
> at scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:428)
> at scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:428)
> at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
> at org.apache.spark.deploy.worker.CommandUtils$.buildProcessBuilder(CommandUtils.scala:54)
> at org.apache.spark.deploy.worker.DriverRunner.prepareAndRunDriver(DriverRunner.scala:181)
> at org.apache.spark.deploy.worker.DriverRunner$$anon$1.run(DriverRunner.scala:91)
> {code}
> Please note that _spark-submit.cmd_ is in this case my own script calling the _spark-submit.cmd_ from the spark distribution.
> I think that shouldn't happen. Spark should handle such a malformed environment variable gracefully.
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