[
https://issues.apache.org/jira/browse/SPARK-21545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-21545.
-------------------------------
Resolution: Invalid
Fix Version/s: (was: 2.2.0)
Target Version/s: (was: 2.2.0)
Please read http://spark.apache.org/contributing.html
This is not the place for questions.
> pyspark2
> --------
>
> Key: SPARK-21545
> URL: https://issues.apache.org/jira/browse/SPARK-21545
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.2.0
> Environment: Spark2.2 with CDH5.12,python3.6.1,java jdk1.8_b31.
> Reporter: gumpcheng
> Labels: cdh, spark2.2
>
> I install spark2.2 following the official steps with CDH5.12.
> Info on Cloudera Manager is okay!
> But I failed to initialize pyspark2.
> My Environment : Python3.6.1,JDK1.8,CDH5.12
> The problem make me crazy for several days.
> And I found no way to solve it.
> Anyone can help me?
> Very thank you!!!
> [hdfs@Master /data/soft/spark2.2]$ pyspark2
> Python 3.6.1 (default, Jul 27 2017, 11:07:01)
> [GCC 4.4.6 20110731 (Red Hat 4.4.6-4)] on linux
> Type "help", "copyright", "credits" or "license" for more information.
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).
> 17/07/27 12:02:09 ERROR spark.SparkContext: Error initializing SparkContext.
> org.apache.spark.SparkException: Yarn application has already ended! It might
> have been killed or unable to launch application master.
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:85)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:173)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:509)
> at
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:236)
> at
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:748)
> 17/07/27 12:02:09 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint:
> Attempted to request executors before the AM has registered!
> 17/07/27 12:02:09 ERROR util.Utils: Uncaught exception in thread Thread-2
> java.lang.NullPointerException
> at
> org.apache.spark.network.shuffle.ExternalShuffleClient.close(ExternalShuffleClient.java:141)
> at org.apache.spark.storage.BlockManager.stop(BlockManager.scala:1485)
> at org.apache.spark.SparkEnv.stop(SparkEnv.scala:90)
> at
> org.apache.spark.SparkContext$$anonfun$stop$11.apply$mcV$sp(SparkContext.scala:1937)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1317)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1936)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:587)
> at
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:236)
> at
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:748)
> /opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/shell.py:52:
> UserWarning: Fall back to non-hive support because failing to access
> HiveConf, please make sure you build spark with hive
> warnings.warn("Fall back to non-hive support because failing to access
> HiveConf, "
> 17/07/27 12:02:09 WARN spark.SparkContext: Another SparkContext is being
> constructed (or threw an exception in its constructor). This may indicate an
> error, since only one SparkContext may be running in this JVM (see
> SPARK-2243). The other SparkContext was created at:
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
> sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
> py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> py4j.Gateway.invoke(Gateway.java:236)
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> py4j.GatewayConnection.run(GatewayConnection.java:214)
> java.lang.Thread.run(Thread.java:748)
> 17/07/27 12:02:14 ERROR spark.SparkContext: Error initializing SparkContext.
> org.apache.spark.SparkException: Yarn application has already ended! It might
> have been killed or unable to launch application master.
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:85)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:173)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:509)
> at
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:236)
> at
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:748)
> 17/07/27 12:02:14 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint:
> Attempted to request executors before the AM has registered!
> 17/07/27 12:02:14 ERROR util.Utils: Uncaught exception in thread Thread-2
> java.lang.NullPointerException
> at
> org.apache.spark.network.shuffle.ExternalShuffleClient.close(ExternalShuffleClient.java:141)
> at org.apache.spark.storage.BlockManager.stop(BlockManager.scala:1485)
> at org.apache.spark.SparkEnv.stop(SparkEnv.scala:90)
> at
> org.apache.spark.SparkContext$$anonfun$stop$11.apply$mcV$sp(SparkContext.scala:1937)
> at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1317)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1936)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:587)
> at
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:236)
> at
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:748)
> Traceback (most recent call last):
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/shell.py",
> line 45, in <module>
> spark = SparkSession.builder\
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/sql/session.py",
> line 169, in getOrCreate
> sc = SparkContext.getOrCreate(sparkConf)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 334, in getOrCreate
> SparkContext(conf=conf or SparkConf())
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 118, in __init__
> conf, jsc, profiler_cls)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 180, in _do_init
> self._jsc = jsc or self._initialize_context(self._conf._jconf)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 273, in _initialize_context
> return self._jvm.JavaSparkContext(jconf)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py",
> line 1401, in __call__
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py",
> line 319, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling
> None.org.apache.spark.api.java.JavaSparkContext.
> : org.apache.spark.SparkException: Yarn application has already ended! It
> might have been killed or unable to launch application master.
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:85)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:173)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:509)
> at
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:236)
> at
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:748)
> During handling of the above exception, another exception occurred:
> Traceback (most recent call last):
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/shell.py",
> line 54, in <module>
> spark = SparkSession.builder.getOrCreate()
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/sql/session.py",
> line 169, in getOrCreate
> sc = SparkContext.getOrCreate(sparkConf)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 334, in getOrCreate
> SparkContext(conf=conf or SparkConf())
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 118, in __init__
> conf, jsc, profiler_cls)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 180, in _do_init
> self._jsc = jsc or self._initialize_context(self._conf._jconf)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/pyspark/context.py",
> line 273, in _initialize_context
> return self._jvm.JavaSparkContext(jconf)
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py",
> line 1401, in __call__
> File
> "/opt/cloudera/parcels/SPARK2-2.2.0.cloudera1-1.cdh5.12.0.p0.142354/lib/spark2/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py",
> line 319, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling
> None.org.apache.spark.api.java.JavaSparkContext.
> : org.apache.spark.SparkException: Yarn application has already ended! It
> might have been killed or unable to launch application master.
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:85)
> at
> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:173)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:509)
> at
> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:236)
> at
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:748)
> Anyone can help me ?
> I search this question in stackoverflow / google and found nothing.
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