title: Several errors while trying to run Spark with python 3
body: <p>I'm trying to run spark using <code>pyspark</code> on <code>python 3</code> with <code>ubuntu 18.04</code>, however, I'm getting a bunch of different errors that I don't know how to handle. I'm using <code>Java 10 jdk</code> and my <code>JAVA_HOME</code> variable is already set.</p>
  
  <p>this is the code I'm trying to run on <code>python</code>:</p>
  
  <pre><code>import sys
  from pyspark import SparkContext
  from pyspark.streaming import StreamingContext
  
  
  
  sc = SparkContext(appName="PysparkStreaming")
  ssc = StreamingContext(sc, 3)   #Streaming will execute in each 3 seconds
  lines = ssc.textFileStream('/home/mabarberan/Escritorio/prueba spark/')  #'log/ mean directory name
  counts = lines.flatMap(lambda line: line.split(" ")) \
      .map(lambda x: (x, 1)) \
      .reduceByKey(lambda a, b: a + b)
  counts.pprint()
  ssc.start()
  ssc.awaitTermination()
  </code></pre>
  
  <p>and these are the errors I'm getting:</p>
  
  <pre><code>/home/mabarberan/anaconda3/bin/python /home/mabarberan/Descargas/carpeta.py
  WARNING: An illegal reflective access operation has occurred
  WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/jars/hadoop-auth-2.7.3.jar) to method sun.security.krb5.Config.getInstance()
  WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil
  WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
  WARNING: All illegal access operations will be denied in a future release
  2018-06-21 12:53:07 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
  Setting default log level to "WARN".
  To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
  [Stage 1:&gt;                                                          (0 + 1) / 1]2018-06-21 12:53:13 ERROR PythonRunner:91 - Python worker exited unexpectedly (crashed)
  org.apache.spark.api.python.PythonException: Traceback (most recent call last):
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 176, in main
      ("%d.%d" % sys.version_info[:2], version))
  Exception: Python in worker has different version 2.7 than that in driver 3.6, PySpark cannot run with different minor versions.Please check environment variables PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON are correctly set.
  </code></pre>
  
  <p>I can't paste all the error code here, but this is what comes next:</p>
  
  <pre><code>at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
      at org.apache.spark.scheduler.Task.run(Task.scala:109)
      at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
      at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1135)
      at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
      at java.base/java.lang.Thread.run(Thread.java:844)
  Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 176, in main
      ("%d.%d" % sys.version_info[:2], version))
  Exception: Python in worker has different version 2.7 than that in driver 3.6, PySpark cannot run with different minor versions.Please check environment variables PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON are correctly set.
  
      2018-06-21 12:53:13 ERROR TaskSetManager:70 - Task 0 in stage 1.0 failed 1 times; aborting job
  2018-06-21 12:53:13 ERROR JobScheduler:91 - Error running job streaming job 1529578392000 ms.0
  org.apache.spark.SparkException: An exception was raised by Python:
  Traceback (most recent call last):
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/streaming/util.py", line 65, in call
      r = self.func(t, *rdds)
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/streaming/dstream.py", line 171, in takeAndPrint
      taken = rdd.take(num + 1)
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/rdd.py", line 1375, in take
      res = self.context.runJob(self, takeUpToNumLeft, p)
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/context.py", line 1013, in runJob
      sock_info = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, partitions)
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/py4j/java_gateway.py", line 1257, in __call__
      answer, self.gateway_client, self.target_id, self.name)
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/py4j/protocol.py", line 328, in get_return_value
      format(target_id, ".", name), value)
  py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
  : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 0, localhost, executor driver): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
    File "/home/mabarberan/anaconda3/lib/python3.6/site-packages/pyspark/python/lib/pyspark.zip/pyspark/worker.py", line 176, in main
      ("%d.%d" % sys.version_info[:2], version))
  Exception: Python in worker has different version 2.7 than that in driver 3.6, PySpark cannot run with different minor versions.Please check environment variables PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON are correctly set.
  
  Process finished with exit code 1
  </code></pre>
  
  <p>I have googled the errors and saw them individually occurring to other people, but seems I have all of them in the same time, I tried some fixes I found on the web but they didn't seem to work, so I'm stuck. I would appreciate any help on this.</p>
  
  <p>Thanks in advance</p>