Spark Boy Mac OS

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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:

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  • Install Homebrew. Run the following command in Terminal: Enter the password if.

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:

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Finally, source the profile using:

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And you are all set!

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/.

Reference:https://spark.apache.org/docs/latest/

Overview:

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Spark
  • Install Java 8+, then add to PATH and JAVA_HOME

1. Install Java.

  • Download and install Java 8 through brew.
  • Validate Java version
  • Add java environment variables to terminal

    • Open Vim
    • Add the following to .zshrc

2. Install Apache Spark

Brew is Mac OS Package Manager, similar to apt (http://brew.sh/)

3. Setup Variables

  • Assump Current spark version 2.4.0.
  • Up to this point, you should be able to launch pyspark and scala-shell from terminal.

4. Integrate Spark and Jupyter Notebook

  • Install Python Env through pyenv, a python versioning manager.

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  • (Optional) If you received pyspark 2.4.0 requires py4j0.10.7, which is not installed., fixed by:
  • Install Jupyter, Apache Toree
  • Create a kernel in Jupyter for managing Spark

Launch Jupyter Notebook and Test Our First Spark Application

  • Remember to Select Toree as your main kernel