title: This SparkContext may be an existing one. error
body: <p>I'm using spark2.0 in notebook, this is the initial set up:</p>
  
  <pre><code>  spark = SparkSession.builder \
     .appName("NewApp") \
     .config("spark.driver.maxResultSize", "600g") \
     .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer") \
     .config("spark.rpc.message.maxSize",10737418240) \
     .config("spark.executor.heartbeatInterval",10000000) \
     .getOrCreate()
  
  
  /usr/local/spark-2.0.1/python/pyspark/sql/session.py in getOrCreate(self)
  167                     for key, value in self._options.items():
  168                         sparkConf.set(key, value)
  --&gt; 169                     sc = SparkContext.getOrCreate(sparkConf)
  170                     # This SparkContext may be an existing one.
  171                     for key, value in self._options.items():
  
  /usr/local/spark-2.0.1/python/pyspark/context.py in getOrCreate(cls, conf)
  292         with SparkContext._lock:
  293             if SparkContext._active_spark_context is None:
  --&gt; 294                 SparkContext(conf=conf or SparkConf())
  295             return SparkContext._active_spark_context
  296 
  
  /usr/local/spark-2.0.1/python/pyspark/context.py in __init__(self, master, appName, sparkHome, pyFiles, environment, batchSize, serializer, conf, gateway, jsc, profiler_cls)
  113         try:
  114             self._do_init(master, appName, sparkHome, pyFiles, environment, batchSize, serializer,
   --&gt; 115                           conf, jsc, profiler_cls)
  116         except:
  117             # If an error occurs, clean up in order to allow future SparkContext creation:
  
    /usr/local/spark-2.0.1/python/pyspark/context.py in _do_init(self, master, appName, sparkHome, pyFiles, environment, batchSize, serializer, conf, jsc, profiler_cls)
  166 
  167         # Create the Java SparkContext through Py4J
  --&gt; 168         self._jsc = jsc or self._initialize_context(self._conf._jconf)
  169         # Reset the SparkConf to the one actually used by the SparkContext in JVM.
  170         self._conf = SparkConf(_jconf=self._jsc.sc().conf())
  
       /usr/local/spark-2.0.1/python/pyspark/context.py in _initialize_context(self, jconf)
  231         Initialize SparkContext in function to allow subclass specific initialization
  232         """
    --&gt; 233         return self._jvm.JavaSparkContext(jconf)
  234 
  235     @classmethod
  
       /usr/local/spark-2.0.1/python/lib/py4j-0.10.3-src.zip/py4j/java_gateway.py in __call__(self, *args)
     1399         answer = self._gateway_client.send_command(command)
     1400         return_value = get_return_value(
  -&gt; 1401             answer, self._gateway_client, None, self._fqn)
    1402 
    1403         for temp_arg in temp_args:
  
  /usr/local/spark-2.0.1/python/lib/py4j-0.10.3-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".
  --&gt; 319                     format(target_id, ".", name), value)
  320             else:
  321                 raise Py4JError(
  
       Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
     : java.lang.NumberFormatException: For input string: "10737418240"
  at                 java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
  at java.lang.Integer.parseInt(Integer.java:583)
  at java.lang.Integer.parseInt(Integer.java:615)
  at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
  at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
  at org.apache.spark.SparkConf$$anonfun$getInt$2.apply(SparkConf.scala:375)
  at org.apache.spark.SparkConf$$anonfun$getInt$2.apply(SparkConf.scala:375)
  at scala.Option.map(Option.scala:146)
  at org.apache.spark.SparkConf.getInt(SparkConf.scala:375)
  at org.apache.spark.util.RpcUtils$.maxMessageSizeBytes(RpcUtils.scala:61)
  at org.apache.spark.MapOutputTrackerMaster.&lt;init&gt;(MapOutputTracker.scala:293)
  at org.apache.spark.SparkEnv$.create(SparkEnv.scala:284)
  at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:165)
  at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:256)
  at org.apache.spark.SparkContext.&lt;init&gt;(SparkContext.scala:420)
  at org.apache.spark.api.java.JavaSparkContext.&lt;init&gt;(JavaSparkContext.scala:58)
  </code></pre>
  
  <p>how could I solve this problem? I tried SparkContext.stop(), but it gives:
  TypeError: stop() missing 1 required positional argument: 'self'</p>
  
  <p>Another one  question is my initial set up is getOrCreate() to my understanding if there is one then get it, if not create it, it still give this problem.</p>