from pyspark import SparkConf, SparkContext.correct the path of the u.data file in ml-100k folder in the script:.Yay!!!, you tested by running word count on file README.md.spark-shell – it should run scala version.then reload bash file – source ~/.bashrc.Update PATHS by updating file ~/.bashrc:.Rename spark-2.3.0-bin-hadoop2.7 to spark – mv spark-2.3.0-bin-hadoop2.7 spark.
Unzip the tar – tar xvfz spark-2.3.0-bin-hadoop2.7.tgz.Now download proper version of Spark(First go to and then copy the link address) – wget.echo “alias python=python36” > ~/.bashrc.Setup alias for python command and update the ~/.bashrc.
#Install pyspark on ubuntu install
To install JDK8- yum install -y java-1.8.0-openjdk-devel. To install JRE8- yum install -y java-1.8.0-openjdk. Type and Enter quit() to exit the spark. If you get successful count then you succeeded in installing Spark with Python on Windows. Type and Enter myRDD= sc.textFile(“README.md”). Look for README.md or CHANGES.txt in that folder. Select environment for Windows(32 bit or 64 bit) and download 3.5 version canopy and install. Right-click Windows menu –> select Control Panel –> System and Security –> System –> Advanced System Settings –> Environment Variables. execute command – winutils.exe chmod 777 \tmp\hive from that folder. Edit the file to change log level to ERROR – for log4j.rootCategory. Rename file conf\ file to log4j.properties. Now lets unzip the tar file using WinRar or 7Z and copy the content of the unzipped folder to a new folder D:\Spark. Lets select Spark version 2.3.0 and click on the download link. Install JDK, but make sure your installation folder should not have spaces in path name e.g d:\jdk8. 
Select your environment ( Windows x86 or 圆4).
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