Created
June 26, 2015 15:24
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Spark-Boom-Demo
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package com.blackberry.bdp.sparkMesosDemo | |
import com.blackberry.bdp.containers.boom._ | |
import com.twitter.chill.avro.AvroSerializer | |
import com.twitter.chill.avro.AvroSerializer.SpecificRecordBinarySerializer | |
import com.esotericsoftware.kryo.Kryo | |
import org.apache.spark.serializer.{KryoSerializer, KryoRegistrator} | |
import org.apache.hadoop.io.NullWritable | |
import com.twitter.chill.avro.AvroSerializer | |
import com.blackberry.bdp.containers.boom._ | |
import org.apache.spark.SparkConf | |
import org.apache.spark.SparkContext | |
import org.apache.avro._ | |
import org.apache.avro.mapred.AvroKey | |
import org.apache.avro.mapreduce._ | |
import org.apache.hadoop.mapreduce.Job | |
import org.apache.spark.deploy.SparkHadoopUtil | |
import org.apache.hadoop.security.UserGroupInformation; | |
import org.apache.hadoop.io.NullWritable | |
import org.slf4j.Logger; | |
import org.slf4j.LoggerFactory; | |
object Main { | |
def main(args: Array[String]) { | |
println("Hello, world!") | |
if (args.length < 2) { | |
System.err.println("Usage: ./spark-submit <options> <principal> <keytab> <path to boom file in hdfs>") | |
System.exit(1) | |
} | |
val userPrincipal = args(0) | |
val userKeytab = args(1) | |
// val utils = new SparkHadoopUtil() | |
// utils.loginUserFromKeytab(userPrincipal, userKeytab) | |
UserGroupInformation.loginUserFromKeytab(userPrincipal, userKeytab) | |
val input = args(2) | |
val conf = new SparkConf().setAppName("Example-Spark") | |
conf.set("spark.serializer", classOf[org.apache.spark.serializer.KryoSerializer].getName) | |
conf.set("spark.kryo.registrator", classOf[com.blackberry.bdp.sparkMesosDemo.Registrator].getName) | |
val sc = new SparkContext(conf) | |
val readJob = new Job() | |
AvroJob.setInputKeySchema(readJob, LogBlock.getClassSchema()) | |
val rdd = sc.newAPIHadoopFile(input, | |
classOf[AvroKeyInputFormat[LogBlock]], | |
classOf[AvroKey[LogBlock]], | |
classOf[NullWritable], | |
readJob.getConfiguration) | |
//println(rdd.first()) | |
//println(rdd.count()) | |
} | |
} |
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