Provision Spark on Amazon EC2

An LD4P Spark cluster can be created using:

git clone [email protected]:sul-dlss/spark-ec2.git
cd spark-ec2

TAGS="Group:ld4p_dev_spark,Manager:${USER},Service:spark,Stage:dev"
./spark-ec2 --key-pair=ld4p --identity-file=~/.ssh/ld4p.pem \
--region=us-west-2 --zone=all \
--master-instance-type=c4.2xlarge \
--instance-type=c4.2xlarge --slaves 3 \
--ami=ami-6e1a0117 --no-ganglia --additional-tags="${TAGS}" \
launch ld4p-pipe

It should complete with something like:

Connection to ec2-52-41-0-58.us-west-2.compute.amazonaws.com closed.
Spark standalone cluster started at http://ec2-52-41-0-58.us-west-2.compute.amazonaws.com:8080
Ganglia started at http://ec2-52-41-0-58.us-west-2.compute.amazonaws.com:5080/ganglia
Done!

Login

./spark-ec2 -k ld4p -i ld4p.pem -r us-west-2 login ld4p-pipe

Additional Notes

The work ticket on this is at

• https://ld-stanford.myjetbrains.com/youtrack/issue/LD4P-40

For some detailed instructions on doing it by-hand:

• https://sparkour.urizone.net/recipes/installing-ec2/
  • https://sparkour.urizone.net/recipes/spark-ec2/#03
• http://blog.insightdatalabs.com/spark-cluster-step-by-step/
• if we need hadoop, this might help (hadoop 2.6 on ubuntu 14.04):
  • http://www.bogotobogo.com/Hadoop/BigData_hadoop_Install_on_ubuntu_single_node_cluster.php

Also looking for puppet recipes and deployment management, e.g.

• https://github.com/adobe-research/spark-cluster-deployment
• For running spark on mesos
  • https://github.com/deric/puppet-mesos
  • https://github.com/deric/puppet-zookeeper
  • https://github.com/garethr/garethr-docker

One of the guys from code4lib-norcal recently recommended using terraform, e.g.

• https://github.com/hashicorp/atlas-examples/tree/master/spark