Until macOS 10.14 the default shell used in the Terminal app was bash, but from 10.15 on it is Zshell ( zsh). What’s happening here? By creating a symbolic link to our specific version (2.4.3) we can have multiple versions installed in parallel and only need to adjust the symlink to work with them. $ sudo mv spark-2.4.3-bin-hadoop2.7 /opt/spark-2.4.3Ĭreate a symbolic link (symlink) to your Spark version With the pre-requisites in place, you can now install Apache Spark on your Mac.ĭownload the newest version, a file ending in. The original guides I’m working from are here, here and here. While dipping my toes into the water I noticed that all the guides I could find online weren’t entirely transparent, so I’ve tried to compile the steps I actually did to get this up and running here. So, we’ll stick to Pyspark in this guide. You can also use Spark with R and Scala, among others, but I have no experience with how to set that up. is a bit of a hassle to just learn the basics though (although Amazon EMR or Databricks make that quite easy, and you can even build your own Raspberry Pi cluster if you want…), so getting Spark and Pyspark running on your local machine seems like a better idea. Setting up your own cluster, administering it etc. Whether it’s for social science, marketing, business intelligence or something else, the number of times data analysis benefits from heavy duty parallelization is growing all the time.Īpache Spark is an awesome platform for big data analysis, so getting to know how it works and how to use it is probably a good idea.
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