pycharm配置spark
来源:互联网 发布:场地租用费淘宝 编辑:程序博客网 时间:2024/05/21 11:19
pycharm 配置spark
在Run->Configuration->Defaults->Python->Environment variables下,配置:
PYTHONPATH /home/xxx/software/spark-2.1.0-bin-hadoop2.7/python:/home/xxx/software/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zipSPARK_HOME /home/xxx/software/spark-2.1.0-bin-hadoop2.7
sudo vi /etc/hosts
127.0.0.1 xxx@ubuntutest.py
import os
import sys
# Path for spark source folder
os.environ['SPARK_HOME'] = "/home/xxx/software/spark-2.1.0-bin-hadoop2.7"
# You might need to enter your local IP
# os.environ['SPARK_LOCAL_IP']="192.168.2.138"
# Path for pyspark and py4j
sys.path.append("/home/xxx/software/spark-2.1.0-bin-hadoop2.7/python")
sys.path.append("/home/xxx/software/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip")
try:
from pyspark import SparkContext
from pyspark import SparkConf
print ("Successfully imported Spark Modules")
except ImportError as e:
print ("Can not import Spark Modules", e)
sys.exit(1)
logFile = "/home/xxx/software/spark-2.1.0-bin-hadoop2.7/README.md"
sc = SparkContext("local", "Simple App")
logData = sc .textFile(logFile).cache()
numAs = logData.filter(lambda s: 'a' in s).count()
numBs = logData.filter(lambda s: 'b' in s).count()
print("Lines with a: %i, lines with b: %i"%(numAs, numBs))
- Pycharm+Spark开发配置
- pycharm配置spark
- PyCharm配置Spark开发环境
- pycharm 配置spark运行环境
- Windows+Pycharm+Spark环境配置
- Ubuntu 16.04 + PyCharm + spark 运行环境配置
- win10系统Pycharm配置spark环境
- 在windows上pycharm配置spark环境
- windows下搭建Spark,Pycharm配置Spark测试
- 使用PyCharm配置Spark的Python开发环境(基础)
- Spark+Python+Pycharm在Windows下的配置
- Pycharm开发spark程序
- PyCharm 使用 Spark
- pycharm 运行spark
- PyCharm配置
- PyCharm配置
- PyCharm配置
- PyCharm配置
- c++11异步编程
- BeautifulSoup([your markup]) to this: BeautifulSoup([your markup], "lxml") 解决未设置默认解析器的错误
- LINUX下修改MySQL的用户(root)的密码
- Android自定义底部弹窗(仿小米)
- python 双端队列
- pycharm配置spark
- Hibernate自动建表失败
- 数据统计之饼图实现
- WP 4 i春秋_百度杯”CTF比赛(九月第一场)
- Callable 实用demo
- java题目整理
- OJ热血格斗场
- APK瘦身小技巧--Analyze APK
- Linux学习_第一章_003