如何通過Yarn，Hadoop提交Spark Scala作業

Question

我是Spark的新手，我正在嘗試在偽分布式Hadoop系統上運行scala作業。

Hadoop 2.6 + Yarn + Spark 1.6.1 + scala 2.10.6 + JVM 8，一切從頭開始安裝。

我的Scala應用程序是簡單的WordCount示例，我不知道發生了什么錯誤。

/usr/local/sparkapps/WordCount/src/main/scala/com/mydomain/spark/wordcount/WordCount.scala

package com.mydomain.spark.wordcount
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.SparkContext._

object ScalaWordCount {
    def main(args: Array[String]) {
        val logFile = "/home/hduser/inputfile.txt"
        val sparkConf = new SparkConf().setAppName("Spark Word Count")
        val sc = new SparkContext(sparkConf)
        val file = sc.textFile(logFile)
        val counts = file.flatMap(_.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
        counts.saveAsTextFile("/home/hduser/output")
    }
}

sbt文件：

/usr/local/sparkapps/WordCount/WordCount.sbt


name := "ScalaWordCount"

version := "1.0"

scalaVersion := "2.10.6"

libraryDependencies += "org.apache.spark" %% "spark-core" % "1.6.1"

編譯：

$ cd /usr/local/sparkapps/WordCount/
$ sbt package

提交：

spark-submit --class com.mydomain.spark.wordcount.ScalaWordCount --master yarn-cluster  /usr/local/sparkapps/WordCount/target/scala-2.10/scalawordcount_2.10-1.0.jar 

輸出：

Exception in thread "main" org.apache.spark.SparkException: Application application_1460107053907_0003 finished with failed status
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1034)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1081)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

Spark日志文件： http : //pastebin.com/FnxFXimM

Answer 1

從日志：：

16/04/08 12:24:41 ERROR ApplicationMaster: User class threw exception: org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://localhost:9000/home/hduser/inputfile.txt

如果您想讀取本地文件，請使用

val logFile = "file:///home/hduser/inputfile.txt"