CODEWITHSUNDEEP
apache-sparkamazon-ec2pyspark
Ahmedn1
Ahmedn1

Reputation: 646

pyspark SparkContext issue "Another SparkContext is being constructed"

I installed Spark on my EC2 instance following this tutorial:
https://sparkour.urizone.net/recipes/installing-ec2/#03
but when I try to start pyspark shell, I get this error:
"Another SparkContext is being constructed"

Here is the full exception: 

[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)

I googled a lot and tried everything with no solution. I used this code to get a list of all running Contexts: 

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

And I got this: 

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

Any ideas how can I solve this issue?

Upvotes: 7

Views: 13803

Answers (3)

Arman Behkish
Arman Behkish

Reputation: 41

I encountered the same error while trying to run PySpark in Jupyter Notebook (on macOS). The problem seems related to a Java version incompatibility and it only works with Java 8. I fixed the issue by changing the java version:

check java (JVM) installation versions. If you don't have java 8 installed, install it following instructions for your OS.

/usr/libexec/java_home -V

change the version to Java 8 (it is enough to do it for the current session)

export JAVA_HOME=/usr/libexec/java_home -v 1.8....

check:

java -version

run PySpark. that should solve the issue.

Upvotes: 4

Sina
Sina

Reputation: 812

Navigate to Spark config folder:

cd $SPARK_HOME/conf

Open spark-env.sh file using an editor (is this file does not exist copy the spark-env-template file):

vi spark-env.sh

edit the SPARK_LOCAL_IP value to your machine IP (e.g. 205.210.42.205) :

SPARK_LOCAL_IP="205.210.42.205"

Hope this helps.

Upvotes: 0

Ahmedn1
Ahmedn1

Reputation: 646

I solved the problem by setting the SPARK_MASTER_HOST=127.0.0.1 in spark-env.sh file

Upvotes: 0

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