Spark Setup MacOS Guide. Reference: Overview: Install Java 8+, then add to PATH and JAVAHOME; 1. Download and install Java 8 through brew. Brew cask install adoptopenjdk/openjdk/adoptopenjdk8 Validate Java version; brew cask info adoptopenjdk8. Spark is a powerhouse 40 Watt combo that packs some serious thunder. With bass, mid and treble tone stack controls, plus handy mod, delay and reverb effects, tone starter preset programs, a built-in tuner, tap tempo and more, you'll be blown away by Spark's versatility and authentic feel.
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.
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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!
Now, in your Jupyter notebook, you should be able to execute the following commands:
And observe the SparkUI on the following link: http://localhost:4040/.
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:
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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/.
