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Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext. : io.fabric8.kubernetes.client.KubernetesClientException
#31
Now I'm using spark-umbrella and I'm running on jupyter notebook
Everything is running on local(minikube)
Code:
from __future__ import print_function
import sys
from random import random
from operator import add
import os
from pyspark.sql import SparkSession
spark = SparkSession\
.builder\
.appName("PythonPi")\
.config("spark.app.name", "spark-pi")\
.config("spark.executor.instances", "2")\
.getOrCreate()
partitions = 2
n = 100000 * partitions
def f(_):
x = random() * 2 - 1
y = random() * 2 - 1
return 1 if x ** 2 + y ** 2 <= 1 else 0
count = spark.sparkContext.parallelize(range(1, n + 1), partitions).map(f).reduce(add)
print("Pi is roughly %f" % (4.0 * count / n))
Console Output
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-1-2a0af9f6e997> in <module>()
7
8
----> 9 spark = SparkSession .builder .appName("PythonPi") .config("spark.app.name", "spark-pi") .config("spark.executor.instances", "2") .getOrCreate()
10 partitions = 2
11 n = 100000 * partitions
/opt/spark/python/pyspark/sql/session.py in getOrCreate(self)
167 for key, value in self._options.items():
168 sparkConf.set(key, value)
--> 169 sc = SparkContext.getOrCreate(sparkConf)
170 # This SparkContext may be an existing one.
171 for key, value in self._options.items():
/opt/spark/python/pyspark/context.py in getOrCreate(cls, conf)
332 with SparkContext._lock:
333 if SparkContext._active_spark_context is None:
--> 334 SparkContext(conf=conf or SparkConf())
335 return SparkContext._active_spark_context
336
/opt/spark/python/pyspark/context.py in __init__(self, master, appName, sparkHome, pyFiles, environment, batchSize, serializer, conf, gateway, jsc, profiler_cls)
116 try:
117 self._do_init(master, appName, sparkHome, pyFiles, environment, batchSize, serializer,
--> 118 conf, jsc, profiler_cls)
119 except:
120 # If an error occurs, clean up in order to allow future SparkContext creation:
/opt/spark/python/pyspark/context.py in _do_init(self, master, appName, sparkHome, pyFiles, environment, batchSize, serializer, conf, jsc, profiler_cls)
178
179 # Create the Java SparkContext through Py4J
--> 180 self._jsc = jsc or self._initialize_context(self._conf._jconf)
181 # Reset the SparkConf to the one actually used by the SparkContext in JVM.
182 self._conf = SparkConf(_jconf=self._jsc.sc().conf())
/opt/spark/python/pyspark/context.py in _initialize_context(self, jconf)
271 Initialize SparkContext in function to allow subclass specific initialization
272 """
--> 273 return self._jvm.JavaSparkContext(jconf)
274
275 @classmethod
/opt/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in __call__(self, *args)
1399 answer = self._gateway_client.send_command(command)
1400 return_value = get_return_value(
-> 1401 answer, self._gateway_client, None, self._fqn)
1402
1403 for temp_arg in temp_args:
/opt/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
317 raise Py4JJavaError(
318 "An error occurred while calling {0}{1}{2}.\n".
--> 319 format(target_id, ".", name), value)
320 else:
321 raise Py4JError(
Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: io.fabric8.kubernetes.client.KubernetesClientException:
at io.fabric8.kubernetes.client.dsl.internal.WatchConnectionManager$2.onFailure(WatchConnectionManager.java:188)
at okhttp3.internal.ws.RealWebSocket.failWebSocket(RealWebSocket.java:543)
at okhttp3.internal.ws.RealWebSocket$2.onResponse(RealWebSocket.java:185)
at okhttp3.RealCall$AsyncCall.execute(RealCall.java:141)
at okhttp3.internal.NamedRunnable.run(NamedRunnable.java:32)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Thank you.
The text was updated successfully, but these errors were encountered:
sshkim
changed the title
Why am I getting this error?
Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext. : io.fabric8.kubernetes.client.KubernetesClientException
Jan 7, 2020
Now I'm using spark-umbrella and I'm running on jupyter notebook
Everything is running on local(minikube)
Code:
Console Output
Thank you.
The text was updated successfully, but these errors were encountered: