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Install Latest Apache Spark on Mac OS
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Following is a detailed step by step process to install latest Apache Spark on Mac OS. We shall first install the dependencies : Java and Scala. To install these programming languages and framework, we take help of Homebrew and xcode-select.
Step 1 : Install Homebrew
Open Terminal. Run the following command in Terminal :
Enter the password if asked and continue.
Step 2 : Install xcode-select
To install Java, Scala and Apache Spark through command line interface in Terminal, we shall install xcode-select. Enter and run the following command in Terminal :
Step 3 : Install Java
To install Java through command line, enter and run the following command in the Terminal :
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Step 4 : Install Scala
To install Scala through command line, enter and run the following command in Terminal :
Step 5 : Install Spark
To install Apache Spark through command line, enter and run the following command in the Terminal :
Step 6 : Verifying installation
To verify if the installation is successful, run the spark using the following command in Terminal :
We have successfully installed Apache Spark on Mac OS.
The installation directory would be /usr/local/Cellar/apache-spark/.
Conclusion
In this Apache Spark Tutorial, we have learnt to install latest Apache Spark on Mac OS .
I have encountered lots of tutorials from 2019 on how to install Spark on MacOS, like this one. However, due to a recent update on the availability of Java through Homebrew, these commands do not work anymore.
If you don’t have Homebrew, here’s the command:
Spark requires Java8, and this is where I had to browse Github to find this alternative command:
You probably know it, but Apache-Spark is written in Scala, which is a requirement to run it.
We’re almost there. Let’s now install Spark:
You might want to write your Spark code in Python, and pySpark will be useful for that:
Whether you have bashrc or zshrc, modify your profile with the following commands. Adapt the commands to match your Python path (using which python3) and the folder in which Java has been installed:
Finally, source the profile using:
And you are all set!
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Now, in your Jupyter notebook, you should be able to execute the following commands:
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And observe the SparkUI on the following link: http://localhost:4040/.