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spark_cluster_monitoring's Introduction

spark_cluster_monitoring

Vagrant template to provision a standalone Spark cluster.

Details

  • Spark running as a standalone cluster. Tested with Spark 3.2.1.
  • One head node Ubuntu 16.04 machine and N worker machines.
  • Use Ansible for provisioning and Docker to install and run services.

Usage

Install Vagrant (tested version 2.2.19) and Ansible (core 2.12.4), then:

export PATH=$PATH:~/.local/bin

To spin up the local Spark cluster, place a pre-built Spark package into this directory, named "spark.tgz".

In the Vagrantfile, set the Spark variable to the chosen spark version (tested with spark-3.2.1).
It is also possible to set N_workers to the desired number of workers, along with the RAM and CPU for each of the machines.

vagrant up to spawn the cluster. The Spark WebUI is available at http://192.168.56.20:8080.

./run_ansible_playbook.sh to install Docker with Ansible in the workers and create the Prometheus and Grafana containers.

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