How to install Spark on Windows
Hello everyone, today we are going to install Spark on Windows 11.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance.
- Java 8 runtime environment (JRE)
- Apache Spark 3.3.0
Step 1 - Install Java 8 or Later
To install Apache Spark on windows, you would need Java 8 or the latest version hence download the Java version from Oracle and install it on your system. If you wanted OpenJDK you can download it from here.
You can install Java 8 from the following link here.
After finishing the file download we open a new command prompt, we should unpack the package
Because I am installing Java in folder Java of my C drive (C:\Java)
we create the the directory
then run the following command to unzip:
tar -xvzf jre-8u361-windows-x64.tar.gz -C C:\Java\
Note: This article explains Installing Apache Spark on Java 8, same steps will also work for Java 11 and 13 versions.
Step 2 - Download packages
Apache Spark comes in a compressed tar/zip files hence installation on windows is not much of a deal as you just need to download and untar the file.
For this tutorial we are going to install Apache Spark 3.3.2 with Pre-built Apache Hadoop 3.3
Download Apache spark by accessing the Spark Download page and select the link from “Download Spark ”.
We download the following file:
After download, untar the binary using 7zip or any zip utility to extract the zip file and copy the extracted directory
Let us open a terminal and we create the the directory
then we go to the directory where was Downloaded the file
run the following command to unzip:
tar -xvzf spark-3.3.2-bin-hadoop3.tgz -C C:\Spark\
The extracted files are in the directory
cd C:\Spark\spark-3.3.2-bin-hadoop3 dir
Step 3 - Edit Spark Environment Variables
Now we’ve downloaded and unpacked all the artefacts we need to configure two important environment variables.
First you click the windows button and type environment
a) Configure Environment variables
We configure JAVA_HOME environment variable
by adding new environment variable:
Variable name :
Follow the below steps if you are not aware of how to add or edit environment variables on windows.
- Open System Environment Variables window and select Environment Variables.
- On the following Environment variable screen, add
JAVA_HOMEby selecting the New option.
- This opens up the New User Variables window where you can enter the variable name and value
the same with SPARK_HOME environment variable:
Variable name :
and finally with HADOOP_HOME environment variable:
Variable name :
b) Configure PATH environment variable
Once we finish setting up the above two environment variables, we need to add the bin folders to the PATH environment variable. On Edit the PATH variable
If PATH environment exists in your system, you can also manually add the following two paths to it:
%JAVA_HOME%/bin %SPARK_HOME%/bin %HADOOP_HOME%/bin
Add Spark, Java, and Hadoop bin location by selecting New option.
c) Spark with winutils.exe on Windows
To run Apache Spark on windows, you need
winutils.exe as it uses POSIX like file access operations in windows using windows API.
winutils.exe enables Spark to use Windows-specific services including running shell commands on a windows environment.
We create the folder
Download winutils.exe for Hadoop 3.3 and copy it to
cd Downloads copy winutils.exe C:\Hadoop\hadoop-3.3.0\bin
Verification of Installation
Once you complete the installation, Close your terminal window and open a new one and please run the following command to verify:
you will have
java version "1.8.0_361" Java(TM) SE Runtime Environment (build 1.8.0_361-b09) Java HotSpot(TM) 64-Bit Server VM (build 25.361-b09, mixed mode)
You should also be able to run the following command:
Microsoft Windows [Version 10.0.22621.1555] (c) Microsoft Corporation. All rights reserved. C:\Users\ruslanmv>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://192.168.1.207:4040 Spark context available as 'sc' (master = local[*], app id = local-1683488208402). Spark session available as 'spark'. Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 3.3.2 /_/ Using Scala version 2.12.15 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_361) Type in expressions to have them evaluated. Type :help for more information. scala> 23/05/07 21:37:04 WARN ProcfsMetricsGetter: Exception when trying to compute pagesize, as a result reporting of ProcessTree metrics is stopped
spark-shell is a CLI utility that comes with Apache Spark distribution.
Spark-shell also creates a Spark context web UI and by default, it can access from http://localhost:4041.
Open a new terminal and type
On spark-shell command line, you can run any Spark statements like creating an RDD, getting Spark version e.t.c
you will get
res0: String = 3.3.2
let us try type
val rdd = sc.parallelize(Array(1,2,3,4,5,6,7,8,9,10))
scala> val rdd = sc.parallelize(Array(1,2,3,4,5,6,7,8,9,10)) rdd: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD at parallelize at <console>:23
Congratulations! You have installed Apache Spark on Windows 11.
Leave a comment