[
https://issues.apache.org/jira/browse/SPARK-10326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14948206#comment-14948206
]
Jose Antonio commented on SPARK-10326:
--------------------------------------
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]:
> Cannot launch YARN job on Windows
> ----------------------------------
>
> Key: SPARK-10326
> URL: https://issues.apache.org/jira/browse/SPARK-10326
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.5.0
> Reporter: Marcelo Vanzin
> Assignee: Marcelo Vanzin
> Fix For: 1.5.0
>
>
> The fix is already in master, and it's one line out of the patch for
> SPARK-5754; the bug is that a Windows file path cannot be used to create a
> URI, to {{File.toURI()}} needs to be called.
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