pishen / sbt-spark-ec2 Edit

SBT plugin for spark-ec2

Version Matrix

sbt-spark-ec2

  • A wrapper of spark-ec2 that can be plugged into sbt and let sbt deploy spark cluster and run spark jobs easily on Amazon EC2.
  • Currently supports to Spark 1.3.1
  • This project is not in active development, please check spark-deployer.

How to use this plugin

  • Set the environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY for AWS.
  • In your sbt project, create project/plugins.sbt:
addSbtPlugin("net.pishen" % "sbt-spark-ec2" % "0.7.2")
  • Create sbt-spark-ec2.conf:
cluster-name = "pishen-spark"

keypair = "pishen"
pem = "/home/pishen/.ssh/pishen.pem"

region = "us-west-2"
# zone is optional
zone = "us-west-2a"

master-type = "m3.medium"
slave-type = "m3.medium"
num-of-slaves = 1

main-class = "mypackage.Main"

# optional configurations
app-name = "my-spark-job"
spark-version = "1.3.1"
driver-memory = "1G"
executor-memory = "1G"
vpc-id = "vpc-xxxxxxxx"
subnet-id = "subnet-xxxxxxxx"
use-private-ips = true
# delete the security groups when destroying cluster (optional)
delete-groups = true
  • Create build.sbt (Here we give a simple example):
lazy val root = (project in file(".")).settings(
    name := "my-project-name",
    version := "0.1",
    scalaVersion := "2.10.5",
    libraryDependencies ++= Seq(
      "org.apache.spark" %% "spark-core" % "1.3.1" % "provided"
    )
  )
  • Write your job's algorithm in src/main/scala/mypackage/Main.scala:
package mypackage

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._

object Main {
  def main(args: Array[String]) {
    //setup spark
    val sc = new SparkContext(new SparkConf())
    //your algorithm 
    sc.textFile("s3n://my-bucket/input.gz").collect().foreach(println)
  }
}
  • Launch Spark cluster by sbt sparkLaunchCluster, you can also execute sbt first and type sparkLaunchCluster (support TAB completion) in the sbt console.
  • Once launched, submit your job by sbt sparkSubmitJob <args>

All available commands

  • sbt sparkConf
  • sbt sparkEc2Dir
  • sbt sparkEc2Run
  • sbt sparkLaunchCluster
  • sbt sparkDestroyCluster
  • sbt sparkStartCluster
  • sbt sparkStopCluster
  • sbt sparkShowMachines
  • sbt sparkLoginMaster
  • sbt sparkShowSpaceUsage Show the i-node and disk usage of all the instances.
  • sbt sparkUploadJar
  • sbt sparkSubmitJob <args> Start the job remotely from local machine.
  • sbt sparkRemoveS3Dir <dir-name> Remove the s3 directory with the _$folder$ folder file. (ex. sbt sparkRemoveS3Dir s3://bucket_name/middle_folder/target_folder)