This repository contains the set of scripts used to setup a Spark cluster on EC2. These scripts are intended to be used by the default Spark AMI and is not expected to work on other AMIs. If you wish to start a cluster using Spark, please refer to http://spark-project.org/docs/latest/ec2-scripts.html
The Spark cluster setup is guided by the values set in ec2-variables.sh.setup.sh
first performs basic operations like enabling ssh across machines, mounting ephemeral
drives and also creates files named /root/spark-ec2/masters, and /root/spark-ec2/slaves.
Following that every module listed in MODULES is initialized.
To add a new module, you will need to do the following:
a. Create a directory with the module's name
b. Optionally add a file named init.sh. This is called before templates are configured
and can be used to install any pre-requisites.
c. Add any files that need to be configured based on the cluster setup to templates/.
The path of the file determines where the configured file will be copied to. Right now
the set of variables that can be used in a template are
{{master_list}}
{{active_master}}
{{slave_list}}
{{zoo_list}}
{{cluster_url}}
{{hdfs_data_dirs}}
{{mapred_local_dirs}}
{{spark_local_dirs}}
{{spark_worker_mem}}
{{spark_worker_instances}}
{{spark_worker_cores}}
{{spark_master_opts}}
You can add new variables by modifying deploy_templates.py
d. Add a file named setup.sh to launch any services on the master/slaves. This is called
after the templates have been configured. You can use the environment variables $SLAVES to
get a list of slave hostnames and /root/spark-ec2/copy-dir to sync a directory across machines.
e. Modify https://github.com/mesos/spark/blob/master/ec2/spark_ec2.py to add your module to the list of enabled modules.