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Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)ģ18 "An error occurred while calling. Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a, **kw)Ħ4 except 4JJavaError as e: > 1133 answer, self.gateway_client, self.target_id, self.name) Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in _call_(self, *args)ġ131 answer = self.gateway_nd_command(command) > 809 port = self.ctx._(self._jrdd.rdd())Ĩ10 return list(_load_from_socket(port, self._jrdd_deserializer))

Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in collect(self)Ĩ08 with SCCallSiteSync(ntext) as css: > 906 vals = self.mapPartitions(func).collect() Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in fold(self, zeroValue, op)ĩ04 # zeroValue provided to each partition is unique from the one provided > 1032 return self.mapPartitions(lambda x: ).fold(0, operator.add) Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in sum(self) > 1041 return self.mapPartitions(lambda i: ).sum() Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in count(self) Py4JJavaError Traceback (most recent call last) This README file only contains basic setup instructions. You can find the latest Spark documentation, including a programming MLlib for machine learning, GraphX for graph processing,Īnd Spark Streaming for stream processing. Rich set of higher-level tools including Spark SQL for SQL and DataFrames, Supports general computation graphs for data analysis. High-level APIs in Scala, Java, Python, and R, and an optimized engine that Spark is a fast and general cluster computing system for Big Data.