pyspark SparkContext问题“正在构建另一个SparkContext”

Question

我按照本教程在EC2实例上安装了Spark： https://sparkour.urizone.net/recipes/installing-ec2/#03 但是当我尝试启动pyspark shell时，我收到此错误： “正在构建另一个SparkContext”

以下是完整的例外情况：

[ec2-user@ip-10-0-0-153 ~]$ pyspark
Python 2.7.12 (default, Sep  1 2016, 22:14:00) 
[GCC 4.8.3 20140911 (Red Hat 4.8.3-9)] on linux2
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).
17/08/22 11:46:16 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)
Traceback (most recent call last):
  File "/opt/spark/python/pyspark/shell.py", line 54, in <module>
    spark = SparkSession.builder.getOrCreate()
  File "/opt/spark/python/pyspark/sql/session.py", line 169, in getOrCreate
    sc = SparkContext.getOrCreate(sparkConf)
  File "/opt/spark/python/pyspark/context.py", line 334, in getOrCreate
    SparkContext(conf=conf or SparkConf())
  File "/opt/spark/python/pyspark/context.py", line 118, in __init__
    conf, jsc, profiler_cls)
  File "/opt/spark/python/pyspark/context.py", line 180, in _do_init
    self._jsc = jsc or self._initialize_context(self._conf._jconf)
  File "/opt/spark/python/pyspark/context.py", line 273, in _initialize_context
    return self._jvm.JavaSparkContext(jconf)
  File "/opt/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
  File "/opt/spark/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)

我google了很多，并尝试了一切没有解决方案。我使用此代码获取所有正在运行的上下文的列表：

>>> from pyspark import SparkConf
>>> conf = SparkConf()
>>> conf.getAll()

我得到了这个：

[(u'spark.master', u'local[*]'), (u'spark.submit.deployMode', u'client'), (u'spark.app.name', u'PySparkShell')]

任何想法如何解决这个问题？

Answer 1

我通过在spark-env.sh文件中设置SPARK_MASTER_HOST = 127.0.0.1解决了这个问题

Answer 2

导航到Spark配置文件夹：

cd $SPARK_HOME/conf

使用编辑器打开spark-env.sh文件（此文件不存在，复制spark-env-template文件）：

vi spark-env.sh

将SPARK_LOCAL_IP值编辑为您的计算机IP（例如205.210.42.205）：

SPARK_LOCAL_IP="205.210.42.205"

希望这可以帮助。