我有一个Jupyter 4.3.0,Python 3.6.3(Anaconda)和PySpark 2.2.1的设置.
通过Jupyter运行时,以下示例将失败:
sc = SparkContext.getOrCreate()
rdd = sc.parallelize(['A','B','C'])
rdd.collect()
下面是完整的堆栈跟踪:
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-35-0d4a2ca9edf4> in <module>()
2
3 rdd = sc.parallelize(['A','B','C'])
----> 4 rdd.collect()
/usr/local/Cellar/apache-spark/2.2.1/libexec/python/pyspark/rdd.py in collect(self)
807 """
808 with SCCallSiteSync(self.context) as css:
--> 809 port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
810 return list(_load_from_socket(port, self._jrdd_deserializer))
811
/usr/local/Cellar/apache-spark/2.2.1/libexec/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in __call__(self, *args)
1131 answer = self.gateway_client.send_command(command)
1132 return_value = get_return_value(
-> 1133 answer, self.gateway_client, self.target_id, self.name)
1134
1135 for temp_arg in temp_args:
/usr/local/Cellar/apache-spark/2.2.1/libexec/python/pyspark/sql/utils.py in deco(*a, **kw)
61 …