命令:
java -jar myspark-1.0-SNAPSHOT.jar myspark-1.0-SNAPSHOT.jar hdfs://single:9000/input/word.txt hdfs://single:9000/output/out1
错误信息:
..........
14/11/23 06:14:18 INFO SparkDeploySchedulerBackend: Granted executor ID app-20141123061418-0011/0 on hostPort single:8091 with 8 cores, 200.0 MB RAM
14/11/23 06:14:18 INFO AppClient$ClientActor: Executor updated: app-20141123061418-0011/0 is now RUNNING
Exception in thread "main" java.io.IOException: No FileSystem for scheme: hdfs
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2421)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2428)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:88)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2467)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2449)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:367)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:287)
at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:221)
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:270)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:140)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:898)
at org.apache.spark.rdd.RDD.count(RDD.scala:726)
at youling.studio.Main$.main(Main.scala:33)
at youling.studio.Main.main(Main.scala)
scala 代码:
package youling.studio
import org.apache.spark.SparkContext._
import org.apache.spark.{SparkConf, SparkContext}
import scala.collection.mutable.ListBuffer
/**
* Created by Administrator on 2014/11/23.
*/
object Main {
def main (args: Array[String]) {
if(args.length!=3) {
println("CMD:java -jar *.jar input output")
System.exit(0)
}
val jars = ListBuffer[String]()
args(0).split(‘,‘).map(jars += _)
val conf = new SparkConf()
conf.setMaster("spark://single:8081")
.setSparkHome("/cloud/spark-0.9.1-bin-hadoop2")
.setAppName("word count")
.setJars(jars)
.set("spark.executor.memory","200m")
val sc = new SparkContext(conf)
val data = sc.textFile(args(1))
data.cache
println(data.count)
data.flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_).map(x=>(x._2,x._1)).sortByKey(false).map(x=>(x._2,x._1)).saveAsTextFile(args(2))
}
}
错误原因:intellij idea打成的jar运行的时候没有找到hdfs类型的文件系统
解决:修改maven项目的pom文件,手动指定下面红色的部分
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>youling.studio.spark</groupId>
<artifactId>myspark</artifactId>
<version>1.0-SNAPSHOT</version>
<inceptionYear>2008</inceptionYear>
<properties>
<scala.version>2.10.3</scala.version>
</properties>
<repositories>
<repository>
<id>scala-tools.org</id>
<name>Scala-Tools Maven2 Repository</name>
<url>http://scala-tools.org/repo-releases</url>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>scala-tools.org</id>
<name>Scala-Tools Maven2 Repository</name>
<url>http://scala-tools.org/repo-releases</url>
</pluginRepository>
</pluginRepositories>
<dependencies>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.4</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>0.9.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>0.9.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.2.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.2.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.2.0</version>
</dependency>
</dependencies>
<build>
<sourceDirectory>src/main/</sourceDirectory>
<testSourceDirectory>src/test/</testSourceDirectory>
<plugins>
<plugin>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
<configuration>
<scalaVersion>2.10.3</scalaVersion>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.2</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>reference.conf</resource>
</transformer>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<manifestEntries>
<Main-Class>youling.studio.Main</Main-Class>
</manifestEntries>
</transformer>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>META-INF/services/org.apache.hadoop.fs.FileSystem</resource>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<reporting>
<plugins>
<plugin>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<configuration>
<scalaVersion>${scala.version}</scalaVersion>
</configuration>
</plugin>
</plugins>
</reporting>
</project>
spark程序异常:Exception in thread "main" java.io.IOException: No FileSystem for scheme: hdfs
原文地址：http://blog.csdn.net/u010670689/article/details/41421899
