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Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python, and R and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.
In this article, we will cover the installation procedure of Apache Spark on the Ubuntu operating system. Also, check how to Install Jenkins on Ubuntu.
This guide assumes that you are using Ubuntu and that Hadoop 2.7 is installed in your system.
Before installing Spark, ensure that you have installed Java8 in your Ubuntu Machine. If not installed, please follow the below process to install java8 in your Ubuntu System.
1. Install java8 using the below command.
sudo apt-get install oracle-java8-installer
The above command creates a java-8-oracle Directory in /usr/lib/jvm/ directory in your machine. It looks like below
Now we need to configure the JAVA_HOME path in .bashrc file.
.bashrc file executes whenever we open the terminal.
2. Configure JAVA_HOME and PATH in .bashrc file and save. To edit/modify .bashrc file, use the below command.
vi .bashrc
Then press i(for insert) -> then Enter the below the line at the bottom of the file.
export JAVA_HOME= /usr/lib/jvm/java-8-oracle/ export PATH=$PATH:$JAVA_HOME/bin
Below is the screenshot of that.
Then Press Esc -> wq! (For save the changes) -> Enter.
3. Now, test whether Java is installed properly or not by checking the version of Java. The below command should show the java version.
java -version
Below is the screenshot
Go to the official download page of Apache Spark below and choose the latest release. For the package type, choose ‘Pre-built for Apache Hadoop’.
https://spark.apache.org/downloads.html
The page will look like below
Or You can use a direct link to download.
https://www.apache.org/dyn/closer.lua/spark/spark-2.4.0/spark-2.4.0-bin-hadoop2.7.tgz
Create a directory called spark under /usr/ directory. Use the below command to create a spark directory
sudo mkdir /usr/spark
The above command asks password to create a spark directory under the /usr directory; you can give the password. Then check spark directory is created or not in the /usr directory using the below command
ll /usr/
It should give the below results with the ‘spark’ directory
Go to /usr/spark directory. Use the below command to go spark directory.
cd /usr/spark
Download spark2.3.3 in the spark directory using the below command: https://www.apache.org/dyn/closer.lua/spark/spark-2.4.0/spark-2.4.0-bin-hadoop2.7.tgz
If you use ll or ls command, you can see spark-2.4.0-bin-hadoop2.7.tgz in the spark directory.
Then extract spark-2.4.0-bin-hadoop2.7.tgz using the below command.
sudo tar xvzf spark-2.4.0-bin-hadoop2.7
Now spark-2.4.0-bin-hadoop2.7.tgz file is extracted as spark-2.4.0-bin-hadoop2.7
Check whether it extracted or not using ll command. It should give the below results.
Configure the SPARK_HOME path in the .bashrc file by following the below steps.
Go to the home directory using the below command
cd ~
Open the .bashrc file using the below command
vi .bashrc
Now we will configure SPARK_HOME and PATH
press i for insert the enter SPARK_HOME and PATH like below
SPARK_HOME=/usr/spark/spark-2.4.0-bin-hadoop2.7
PATH=$PATH:$SPARK_HOME/bin
It looks like below
Then save and exit by entering the below commands.
Press Esc -> wq! -> Enter
Now we can verify whether the spark is successfully installed in our Ubuntu Machine. To verify, use the below command, then enter.
spark-shell
The above command should show below the screen:
Now we have successfully installed spark on Ubuntu System. Let’s create RDD and Dataframe then we will end up.
a. We can create RDD in 3 ways, we will use one way to create RDD.
Define any list then parallelize it. It will create RDD. Below are the codes. Copy paste it one by one on the command line.
val nums = Array(1,2,3,5,6) val rdd = sc.parallelize(nums)
Above will create RDD.
b. Now we will create a Data frame from RDD. Follow the below steps to create Dataframe.
import spark.implicits._
val df = rdd.toDF("num")Above code will create Dataframe with num as a column.
To display the data in Dataframe use below command
df.show()
Below is the screenshot of the above code.
You can follow the below steps to uninstall spark on Windows 10.
1. Remove SPARK_HOME from the .bashrc file.
To remove SPARK_HOME variable from the .bashrc please follow below steps
2. Go to the home directory. To go to the home directory, use the below command.
cd ~
3. Open .bashrc file. To open .bashrc file use the below command.
vi .bashrc
4. Press i for edit/delete SPARK_HOME from .bashrc file. Then find SPARK_HOME the delete SPARK_HOME=/usr/spark/spark-2.4.0-bin-hadoop2.7 line from .bashrc file and save. To do follow the below commands
Then press Esc -> wq! -> Press Enter
5. We will also delete downloaded and extracted spark installers from the system. Please follow the below command.
rm -r ~/spark
The above command will delete the spark directory from the system.
6. Open Command Line Interface then, type spark-shell, then press enter, and now we get an error.
Now we can confirm that Spark is successfully uninstalled from the Ubuntu System.
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For the analysis of big data in cluster computing systems, Apache Spark is a framework. Because of how simple it is to use and how much faster it processes data than Hadoop, this platform has gained a lot of popularity.
To analyze huge amounts of data more, Apache Spark can split a job over a number of machines in a cluster. This open-source engine supports several programming languages. This contains Python, R, Scala, and Java.
This blog has covered all the details of installing Spark on Ubuntu. Follow the guide above to set up and get started with Spark easily. If you are facing any issues while proceeding with the installation, let us know in the comments below.
The steps to install Spark on Ubuntu are as follows:
To start the Spark master and slave services, use the following command.
$ start-master.sh
$ start-workers.sh spark://localhost:7077
After the service begins, open a browser and enter the URL to visit the spark page.
http://localhost:8080/
OR
http://127.0.0.1:8080
The spark-shell command may be used to see if spark-shell is functioning properly.
$ spark-shell
You can run Spark shell and communicate with Spark in Scala by typing bin/spark-shell at the command line's Apache Spark Installation directory and pressing Enter.
Enter spark-shell in the command line or terminal if you have PATH set up for Spark (mac users).
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