pythonsparkwindowspycharmpyspark环境配置

1、下载如下
python spark windows pycharm pyspark环境配置

金牛ssl适用于网站、小程序/APP、API接口等需要进行数据传输应用场景,ssl证书未来市场广阔!成为创新互联建站的ssl证书销售渠道,可以享受市场价格4-6折优惠!如果有意向欢迎电话联系或者加微信:13518219792(备注:SSL证书合作)期待与您的合作!

放在D盘
添加 SPARK_HOME = D:\spark-2.3.0-bin-hadoop2.7。

  • 并将 %SPARK_HOME%/bin 添加至环境变量PATH。
  • 然后进入命令行,输入pyspark命令。若成功执行。则成功设置环境变量

python spark windows pycharm pyspark环境配置

找到pycharm sitepackage目录
python spark windows pycharm pyspark环境配置

右键点击即可进入目录,将上面D:\spark-2.3.0-bin-hadoop2.7里面有个/python/pyspark目录拷贝到上面的 sitepackage目录
python spark windows pycharm pyspark环境配置

安装 py4j
python spark windows pycharm pyspark环境配置

试验如下代码:

from __future__ import print_function
import sys
from operator import add
import os

# Path for spark source folder
os.environ['SPARK_HOME'] = "D:\spark-2.3.0-bin-hadoop2.7"
# Append pyspark to Python Path
sys.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 SparkContext
from pyspark import SparkConf

if __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)

计算成功即可


本文题目:pythonsparkwindowspycharmpyspark环境配置
URL网址:http://scyanting.com/article/jjheco.html