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Python spark windows pycharm pyspark environment configuration

2025-04-02 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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1. Download as follows

Put it on disk D.

Add SPARK_HOME = D:\ spark-2.3.0-bin-hadoop2.7.

And add% SPARK_HOME%/bin to the environment variable PATH. Then enter the command line and enter the pyspark command. If successfully carried out. The environment variable is set successfully

Find the pycharm sitepackage directory

Right-click to enter the directory and copy the / python/pyspark directory in D:\ spark-2.3.0-bin-hadoop2.7 above to the sitepackage directory above

Install py4j

Experiment with the following code:

From _ _ future__ import print_functionimport sysfrom operator import addimport os# Path for spark source folderos.environ ['SPARK_HOME'] = "D:\ spark-2.3.0-bin-hadoop2.7" # Append pyspark to Python Pathsys.path.append ("D:\ spark-2.3.0-bin-hadoop2.7\ python") sys.path.append ("D:\ spark-2.3.0-bin-hadoop2.7\ python\ lib\ py4j-0.9-src.zip") From pyspark import SparkContextfrom pyspark import SparkConfif _ _ name__ = ='_ main__': inputFile = "D:\ Harry.txt" outputFile = "D:\ Harry1.txt" sc = SparkContext () text_file = sc.textFile (inputFile) counts = text_file.flatMap (lambda line: line.split ('')) .map (lambda word: (word 1)) .reduceByKey (lambda a, b: a + b) counts.saveAsTextFile (outputFile)

As long as the calculation is successful

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