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HdfsFileTest.scala
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/**
* Copyright (C) 2015 Baifendian Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.examples
import java.io.File
import org.apache.spark.{SparkConf, SparkContext}
import scala.io.Source
object HdfsFileTest {
private def printUsage(): Unit = {
val usage: String =
"Usage: localFile dfsDir\n" +
"\n" +
"localFile - (string) local file to use in test\n" +
"dfsDir - (string) DFS directory for read/write tests\n"
println(usage)
}
def runLocalWordCount(fileContents: List[String]): Int = {
fileContents.flatMap(_.split("\\s+"))
.filter(_.nonEmpty)
.groupBy(w => w)
.mapValues(_.size)
.values
.sum
}
def main(args: Array[String]): Unit = {
if (args.length < 2) {
printUsage()
System.exit(1)
}
val sparkConf = new SparkConf().setAppName("HdfsFileTest")
val ctx = new SparkContext(sparkConf)
val localFilePath = args(0)
val dfsDirPath = args(1)
val lineList = Source.fromFile(new File(localFilePath)).getLines().toList
val localWordCount = runLocalWordCount(lineList)
ctx.parallelize(lineList).saveAsTextFile(dfsDirPath)
val dfsWordCount = ctx.textFile(dfsDirPath).
flatMap(_.split("\\s+")).
filter(_.nonEmpty).
map(w => (w, 1)).
countByKey().
values.
sum
ctx.stop()
if (localWordCount == dfsWordCount) {
println(s"Success! Local Word Count ($localWordCount) " +
s"and DFS Word Count ($dfsWordCount) agree.")
} else {
println(s"Failure! Local Word Count ($localWordCount) " +
s"and DFS Word Count ($dfsWordCount) disagree.")
}
}
}