Hi I tried to install pyspark in a EC2 instance (standard Amazon linux image). I installed anaconda python 3.6 and used "pip install pyspark" to install spark. It worked just fine. But when I try to enter pyspark with command "pyspark", I got the following error message. What could have gone wrong? Thanks!
嗨，我试图在EC2实例（标准的亚马逊linux映像）中安装pyspark。我安装了anaconda python 3.6并使用“pip install pyspark”来安装spark。它运作得很好。但是当我尝试使用命令“pyspark”进入pyspark时，我收到以下错误消息。什么可能出错？谢谢！
Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 18:10:19)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
18/03/03 05:47:13 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/03/03 05:47:13 WARN 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)
Traceback (most recent call last):
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/python/pyspark/shell.py", line 45, in <module>
spark = SparkSession.builder\
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 334, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 180, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 273, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/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.
: java.lang.ExceptionInInitializerError
at org.apache.spark.SparkConf.validateSettings(SparkConf.scala:546)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:373)
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)
Caused by: java.net.UnknownHostException: 10-236-108-194: 10-236-108-194: Temporary failure in name resolution
at java.net.InetAddress.getLocalHost(InetAddress.java:1505)
at org.apache.spark.util.Utils$.findLocalInetAddress(Utils.scala:891)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress$lzycompute(Utils.scala:884)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress(Utils.scala:884)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:941)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:941)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.localHostName(Utils.scala:941)
at org.apache.spark.internal.config.package$.<init>(package.scala:204)
at org.apache.spark.internal.config.package$.<clinit>(package.scala)
... 14 more
Caused by: java.net.UnknownHostException: 10-236-108-194: Temporary failure in name resolution
at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)
at java.net.InetAddress$2.lookupAllHostAddr(InetAddress.java:928)
at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1323)
at java.net.InetAddress.getLocalHost(InetAddress.java:1500)
... 23 more
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/python/pyspark/shell.py", line 54, in <module>
spark = SparkSession.builder.getOrCreate()
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 334, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 180, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 273, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/home/ec2-user/anaconda3/lib/python3.6/site-packages/pyspark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: Could not initialize class org.apache.spark.internal.config.package$
at org.apache.spark.SparkConf.validateSettings(SparkConf.scala:546)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:373)
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)
1 个解决方案
#1
0
Just use a Docker container: https://github.com/jupyter/docker-stacks/tree/master/pyspark-notebook why go thru the hassle of configuring it?
只需使用Docker容器：https：//github.com/jupyter/docker-stacks/tree/master/pyspark-notebook为什么要通过配置它的麻烦？
#1
0
Just use a Docker container: https://github.com/jupyter/docker-stacks/tree/master/pyspark-notebook why go thru the hassle of configuring it?
只需使用Docker容器：https：//github.com/jupyter/docker-stacks/tree/master/pyspark-notebook为什么要通过配置它的麻烦？