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Using PySpark inside a Vagrant machine

We have created a Vagrant setup using Ansible that will download and unpack Spark inside the generated machine.

⚠️ This is only intended for demo and learning purposes, please refer to the official deployment guide for further information on how to properly deploy an Spark cluster.

To bootstrap the machine, do:

git clone https://github.com/luisbelloch/data_processing_course.git
cd data_processing_course
vagrant up

Once the process completes you can access the machine by using:

vagrant ssh

Remember that you can access the host machine files using the /vagrant folder from the inside of the VM.

Testing the installation

Make sure the machine is up and running with vagrant up, and you can access the virtual machine after doing vagrant ssh.

To test the setup run the following command, you should get a value like res0: Long = 100 in the console:

echo 'sc.parallelize(1 to 100).count()' | spark-shell

Running samples

The samples we discussed in class are available in the folder /vagrant/spark inside the virtual machine:

vagrant@buster:~$ cd /vagrant/spark/
vagrant@buster:/vagrant/spark$ spark-submit compras_con_mas_de_un_descuento.py

You may want to start the pyspark REPL as well:

vagrant@buster:~$ cd /vagrant/spark/
vagrant@buster:/vagrant/spark$ pyspark