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From "Marcelo Vanzin (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-11023) Error initializing SparkContext. java.net.URISyntaxException
Date Mon, 12 Oct 2015 17:56:05 GMT

     [ https://issues.apache.org/jira/browse/SPARK-11023?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Marcelo Vanzin resolved SPARK-11023.
------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.2

> Error initializing SparkContext. java.net.URISyntaxException
> ------------------------------------------------------------
>
>                 Key: SPARK-11023
>                 URL: https://issues.apache.org/jira/browse/SPARK-11023
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.5.0, 1.5.1
>         Environment: pyspark + windows 
>            Reporter: Jose Antonio
>              Labels: windows
>             Fix For: 1.5.2, 1.6.0
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> Simliar to SPARK-10326. [https://issues.apache.org/jira/browse/SPARK-10326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14949470#comment-14949470]
> C:\WINDOWS\system32>pyspark --master yarn-client
> Python 2.7.10 |Anaconda 2.3.0 (64-bit)| (default, Sep 15 2015, 14:26:14) [MSC v.1500
64 bit (AMD64)]
> Type "copyright", "credits" or "license" for more information.
> IPython 4.0.0 – An enhanced Interactive Python.
> ? -> Introduction and overview of IPython's features.
> %quickref -> Quick reference.
> help -> Python's own help system.
> object? -> Details about 'object', use 'object??' for extra details.
> 15/10/08 09:28:05 WARN MetricsSystem: Using default name DAGScheduler for source because
spark.app.id is not set.
> 15/10/08 09:28:06 WARN : Your hostname, PC-509512 resolves to a loopback/non-reachable
address: fe80:0:0:0:0:5efe:a5f:c318%net3, but we couldn't find any external IP address!
> 15/10/08 09:28:08 WARN BlockReaderLocal: The short-circuit local reads feature cannot
be used because UNIX Domain sockets are not available on Windows.
> 15/10/08 09:28:08 ERROR SparkContext: Error initializing SparkContext.
> java.net.URISyntaxException: Illegal character in opaque part at index 2: C:\spark\bin\..\python\lib\pyspark.zip
> at java.net.URI$Parser.fail(Unknown Source)
> at java.net.URI$Parser.checkChars(Unknown Source)
> at java.net.URI$Parser.parse(Unknown Source)
> at java.net.URI.<init>(Unknown Source)
> at org.apache.spark.deploy.yarn.Client$$anonfun$setupLaunchEnv$7.apply(Client.scala:558)
> at org.apache.spark.deploy.yarn.Client$$anonfun$setupLaunchEnv$7.apply(Client.scala:557)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.deploy.yarn.Client.setupLaunchEnv(Client.scala:557)
> at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:628)
> at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:119)
> at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
> at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:523)
> at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:61)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
> at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
> at java.lang.reflect.Constructor.newInstance(Unknown Source)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> at py4j.Gateway.invoke(Gateway.java:214)
> at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
> at py4j.GatewayConnection.run(GatewayConnection.java:207)
> at java.lang.Thread.run(Unknown Source)
> 15/10/08 09:28:08 ERROR Utils: Uncaught exception in thread Thread-2
> java.lang.NullPointerException
> at org.apache.spark.network.netty.NettyBlockTransferService.close(NettyBlockTransferService.scala:152)
> at org.apache.spark.storage.BlockManager.stop(BlockManager.scala:1228)
> at org.apache.spark.SparkEnv.stop(SparkEnv.scala:100)
> at org.apache.spark.SparkContext$$anonfun$stop$12.apply$mcV$sp(SparkContext.scala:1749)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1185)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1748)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:593)
> at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:61)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
> at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
> at java.lang.reflect.Constructor.newInstance(Unknown Source)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> at py4j.Gateway.invoke(Gateway.java:214)
> at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
> at py4j.GatewayConnection.run(GatewayConnection.java:207)
> at java.lang.Thread.run(Unknown Source)
> ---------------------------------------------------------------------------
> Py4JJavaError Traceback (most recent call last)
> C:\spark\bin\..\python\pyspark\shell.py in <module>()
> 41 SparkContext.setSystemProperty("spark.executor.uri", os.environ["SPARK_EXECUTOR_URI"])
> 42
> ---> 43 sc = SparkContext(pyFiles=add_files)
> 44 atexit.register(lambda: sc.stop())
> 45
> C:\spark\python\pyspark\context.pyc in _init_(self, master, appName, sparkHome, pyFiles,
environment, batchSize, serializer, conf, gateway, jsc, profiler_cls)
> 111 try:
> 112 self._do_init(master, appName, sparkHome, pyFiles, environment, batchSize, serializer,
> --> 113 conf, jsc, profiler_cls)
> 114 except:
> 115 # If an error occurs, clean up in order to allow future SparkContext creation:
> C:\spark\python\pyspark\context.pyc in _do_init(self, master, appName, sparkHome, pyFiles,
environment, batchSize, serializer, conf, jsc, profiler_cls)
> 168
> 169 # Create the Java SparkContext through Py4J
> --> 170 self._jsc = jsc or self._initialize_context(self._conf._jconf)
> 171
> 172 # Create a single Accumulator in Java that we'll send all our updates through;
> C:\spark\python\pyspark\context.pyc in _initialize_context(self, jconf)
> 222 Initialize SparkContext in function to allow subclass specific initialization
> 223 """
> --> 224 return self._jvm.JavaSparkContext(jconf)
> 225
> 226 @classmethod
> C:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\java_gateway.py in _call_(self, *args)
> 699 answer = self._gateway_client.send_command(command)
> 700 return_value = get_return_value(answer, self._gateway_client, None,
> --> 701 self._fqn)
> 702
> 703 for temp_arg in temp_args:
> C:\spark\python\lib\py4j-0.8.2.1-src.zip\py4j\protocol.py in get_return_value(answer,
gateway_client, target_id, name)
> 298 raise Py4JJavaError(
> 299 'An error occurred while calling
> {0} {1} {2}
> .\n'.
> --> 300 format(target_id, '.', name), value)
> 301 else:
> 302 raise Py4JError(
> Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
> : java.net.URISyntaxException: Illegal character in opaque part at index 2: C:\spark\bin\..\python\lib\pyspark.zip
> at java.net.URI$Parser.fail(Unknown Source)
> at java.net.URI$Parser.checkChars(Unknown Source)
> at java.net.URI$Parser.parse(Unknown Source)
> at java.net.URI.<init>(Unknown Source)
> at org.apache.spark.deploy.yarn.Client$$anonfun$setupLaunchEnv$7.apply(Client.scala:558)
> at org.apache.spark.deploy.yarn.Client$$anonfun$setupLaunchEnv$7.apply(Client.scala:557)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.deploy.yarn.Client.setupLaunchEnv(Client.scala:557)
> at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:628)
> at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:119)
> at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
> at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:523)
> at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:61)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
> at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
> at java.lang.reflect.Constructor.newInstance(Unknown Source)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> at py4j.Gateway.invoke(Gateway.java:214)
> at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
> at py4j.GatewayConnection.run(GatewayConnection.java:207)
> at java.lang.Thread.run(Unknown Source)
> In [1]:
> Reply
>   
> Marcelo Vanzin added a comment - 10 hours ago
> Ah, that's similar but not the same bug; it's a different part of the code that only
affects pyspark. Could you file a separate bug for that? This is the 
> {code}
>     (pySparkArchives ++ pyArchives).foreach { path =>
>       val uri = new URI(path)
> {code}



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