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WordCount.Scala代码如下：
package com.husor.Spark /** * Created by huxiu on 2014/11/26. */ import org.apache.spark.{SparkContext, SparkConf} import org.apache.spark.SparkContext._ object SparkWordCount { def main(args: Array[String]) { println("Test is starting......") System.setProperty("hadoop.home.dir", "d:\\winutil\\") //val conf = new SparkConf().setAppName("WordCount") // .setMaster("spark://Master:7077") // .setSparkHome("SPARK_HOME") // .set("spark.cores.max","2") //val spark = new SparkContext(conf)
//以本地模式运行WordCount程序
val spark = new SparkContext("local","WordCount",System.getenv("SPARK_HOME"))
val file = spark.textFile("hdfs://Master:9000/data/test1")
//将输出结果直接输出到控制台上 //file.flatMap(_.split(" ")).map((_, 1)).reduceByKey(_+_).collect().foreach(println) val wordCounts = file.flatMap(_.split(" ")).map((_, 1)).reduceByKey(_+_)
//将输出结果直接输出到hdfs上
wordCounts.saveAsTextFile("hdfs://Master:9000/user/huxiu/WordCountOutput")
spark.stop()
println("Test is Succeed!!!")
}
}
执行上述WordCount过程中，所遇异常如下：
Exception 1：
java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries ...............
Reason: Hadoop Bug
Solution: http://qnalist.com/questions/4994960/run-spark-unit-test-on-windows-7
Namely,
1) download compiled winutils.exe from
http://social.msdn.microsoft.com/Forums/windowsazure/en-US/28a57efb-082b-424b-8d9e-731b1fe135de/please-read-if-experiencing-job-failures?forum=hdinsight
2) put this file into d:\winutil\bin
3) add in my test: System.setProperty("hadoop.home.dir", "d:\\winutil\\")
Exception 2:
Exception in thread "main" org.apache.hadoop.security.AccessControlException: Permission denied: user=huxiu, access=WRITE, inode="/":Spark:supergroup:drwxr-xr-x
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkFsPermission(FSPermissionChecker.java:265)
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:251)
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:232)
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:176)
Reason:
From the above exception it is easy to see that a job is trying to a create a directory using the username huxiu under a directory named "/" folder is owned by user Spark who belongs to group named supergroup . Since other users don’t have access to the "/" folder( rwxr-xr-x ) writes under "/" fails for huxiu
Solution: http://www.hadoopinrealworld.com/fixing-org-apache-hadoop-security-accesscontrolexception-permission-denied/
Namely,
1> To keep things clean and for better control lets specify the location of the staging directory by setting the mapreduce.jobtracker.staging.root.dir property in mapred-site.xml . After the property is set, restart mapred service for the property to take effect.
1 <property> 2 <name>mapreduce.jobtracker.staging.root.dir</name> 3 <value>/user</value> 4 </property>
2> I have seen several suggestions online suggesting to do a chmod on /user to 777. This is not advisable as doing so will give other users access to delete or modify other users files in HDFS. Instead create a folder named huxiu under/user using the root user (in our case it is Spark ) in HDFS. After creating the folder, change the folder permissions to huxiu.
1 [Spark@Master hadoop]$ hadoop fs -mkdir /user 2 14/11/26 14:00:13 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 3 [Spark@Master hadoop]$ hadoop fs -mkdir /user/huxiu 4 14/11/26 14:04:34 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 5 [Spark@Master hadoop]$ hadoop fs -chown huxiu:huxiu /user/huxiu 6 14/11/26 14:04:42 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
更改异常后，成功运行结果如下：
"C:\Program Files\Java\jdk1.7.0_67\bin\java" -Didea.launcher.port=7546 "-Didea.launcher.bin.path=D:\ScalaIDE\IntelliJ IDEA Community Edition 14.0.1\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program Files\Java\jdk1.7.0_67\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\jce.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\jfr.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\jfxrt.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\jsse.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\management-agent.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\plugin.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\resources.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\rt.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.7.0_67\jre\lib\ext\zipfs.jar;D:\IntelliJ_IDE\WorkSpace\out\production\Test;D:\vagrant\data\Scala2.10.4\lib\scala-actors-migration.jar;D:\vagrant\data\Scala2.10.4\lib\scala-actors.jar;D:\vagrant\data\Scala2.10.4\lib\scala-library.jar;D:\vagrant\data\Scala2.10.4\lib\scala-reflect.jar;D:\vagrant\data\Scala2.10.4\lib\scala-swing.jar;D:\SparkSrc\spark-assembly-1.1.0-hadoop2.4.0.jar;D:\ScalaIDE\IntelliJ IDEA Community Edition 14.0.1\lib\idea_rt.jar" com.intellij.rt.execution.application.AppMain com.husor.Spark.SparkWordCount Test is starting...... Using Spark‘s default log4j profile: org/apache/spark/log4j-defaults.properties 14/11/26 14:15:44 INFO SecurityManager: Changing view acls to: huxiu, 14/11/26 14:15:44 INFO SecurityManager: Changing modify acls to: huxiu, 14/11/26 14:15:44 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(huxiu, ); users with modify permissions: Set(huxiu, ) 14/11/26 14:15:44 INFO Slf4jLogger: Slf4jLogger started 14/11/26 14:15:44 INFO Remoting: Starting remoting 14/11/26 14:15:44 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@huxiu-PC:54972] 14/11/26 14:15:44 INFO Remoting: Remoting now listens on addresses: [akka.tcp://sparkDriver@huxiu-PC:54972] 14/11/26 14:15:44 INFO Utils: Successfully started service ‘sparkDriver‘ on port 54972. 14/11/26 14:15:44 INFO SparkEnv: Registering MapOutputTracker 14/11/26 14:15:45 INFO SparkEnv: Registering BlockManagerMaster 14/11/26 14:15:45 INFO DiskBlockManager: Created local directory at C:\Users\huxiu\AppData\Local\Temp\spark-local-20141126141545-9dad 14/11/26 14:15:45 INFO Utils: Successfully started service ‘Connection manager for block manager‘ on port 54975. 14/11/26 14:15:45 INFO ConnectionManager: Bound socket to port 54975 with id = ConnectionManagerId(huxiu-PC,54975) 14/11/26 14:15:45 INFO MemoryStore: MemoryStore started with capacity 969.6 MB 14/11/26 14:15:45 INFO BlockManagerMaster: Trying to register BlockManager 14/11/26 14:15:45 INFO BlockManagerMasterActor: Registering block manager huxiu-PC:54975 with 969.6 MB RAM 14/11/26 14:15:45 INFO BlockManagerMaster: Registered BlockManager 14/11/26 14:15:45 INFO HttpFileServer: HTTP File server directory is C:\Users\huxiu\AppData\Local\Temp\spark-423dcd83-624e-404a-bbf6-a1190f77290f 14/11/26 14:15:45 INFO HttpServer: Starting HTTP Server 14/11/26 14:15:45 INFO Utils: Successfully started service ‘HTTP file server‘ on port 54976. 14/11/26 14:15:45 INFO Utils: Successfully started service ‘SparkUI‘ on port 4040. 14/11/26 14:15:45 INFO SparkUI: Started SparkUI at http://huxiu-PC:4040 14/11/26 14:15:45 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 14/11/26 14:15:45 INFO AkkaUtils: Connecting to HeartbeatReceiver: akka.tcp://sparkDriver@huxiu-PC:54972/user/HeartbeatReceiver 14/11/26 14:15:46 INFO MemoryStore: ensureFreeSpace(163705) called with curMem=0, maxMem=1016667832 14/11/26 14:15:46 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 159.9 KB, free 969.4 MB) 14/11/26 14:15:46 INFO FileInputFormat: Total input paths to process : 1 14/11/26 14:15:46 INFO deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id 14/11/26 14:15:46 INFO deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id 14/11/26 14:15:46 INFO deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap 14/11/26 14:15:46 INFO deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition 14/11/26 14:15:46 INFO deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id 14/11/26 14:15:47 INFO SparkContext: Starting job: saveAsTextFile at SparkWordCount.scala:33 14/11/26 14:15:47 INFO DAGScheduler: Registering RDD 3 (map at SparkWordCount.scala:32) 14/11/26 14:15:47 INFO DAGScheduler: Got job 0 (saveAsTextFile at SparkWordCount.scala:33) with 1 output partitions (allowLocal=false) 14/11/26 14:15:47 INFO DAGScheduler: Final stage: Stage 0(saveAsTextFile at SparkWordCount.scala:33) 14/11/26 14:15:47 INFO DAGScheduler: Parents of final stage: List(Stage 1) 14/11/26 14:15:47 INFO DAGScheduler: Missing parents: List(Stage 1) 14/11/26 14:15:47 INFO DAGScheduler: Submitting Stage 1 (MappedRDD[3] at map at SparkWordCount.scala:32), which has no missing parents 14/11/26 14:15:47 INFO MemoryStore: ensureFreeSpace(3424) called with curMem=163705, maxMem=1016667832 14/11/26 14:15:47 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 3.3 KB, free 969.4 MB) 14/11/26 14:15:47 INFO DAGScheduler: Submitting 1 missing tasks from Stage 1 (MappedRDD[3] at map at SparkWordCount.scala:32) 14/11/26 14:15:47 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks 14/11/26 14:15:47 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 0, localhost, ANY, 1174 bytes) 14/11/26 14:15:47 INFO Executor: Running task 0.0 in stage 1.0 (TID 0) 14/11/26 14:15:47 INFO HadoopRDD: Input split: hdfs://Master:9000/data/test1:0+27 14/11/26 14:15:47 INFO Executor: Finished task 0.0 in stage 1.0 (TID 0). 1862 bytes result sent to driver 14/11/26 14:15:47 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 0) in 489 ms on localhost (1/1) 14/11/26 14:15:47 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool 14/11/26 14:15:47 INFO DAGScheduler: Stage 1 (map at SparkWordCount.scala:32) finished in 0.500 s 14/11/26 14:15:47 INFO DAGScheduler: looking for newly runnable stages 14/11/26 14:15:47 INFO DAGScheduler: running: Set() 14/11/26 14:15:47 INFO DAGScheduler: waiting: Set(Stage 0) 14/11/26 14:15:47 INFO DAGScheduler: failed: Set() 14/11/26 14:15:47 INFO DAGScheduler: Missing parents for Stage 0: List() 14/11/26 14:15:47 INFO DAGScheduler: Submitting Stage 0 (MappedRDD[5] at saveAsTextFile at SparkWordCount.scala:33), which is now runnable 14/11/26 14:15:47 INFO MemoryStore: ensureFreeSpace(57512) called with curMem=167129, maxMem=1016667832 14/11/26 14:15:47 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 56.2 KB, free 969.4 MB) 14/11/26 14:15:47 INFO DAGScheduler: Submitting 1 missing tasks from Stage 0 (MappedRDD[5] at saveAsTextFile at SparkWordCount.scala:33) 14/11/26 14:15:47 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 14/11/26 14:15:47 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 1, localhost, PROCESS_LOCAL, 948 bytes) 14/11/26 14:15:47 INFO Executor: Running task 0.0 in stage 0.0 (TID 1) 14/11/26 14:15:47 INFO BlockFetcherIterator$BasicBlockFetcherIterator: maxBytesInFlight: 50331648, targetRequestSize: 10066329 14/11/26 14:15:47 INFO BlockFetcherIterator$BasicBlockFetcherIterator: Getting 1 non-empty blocks out of 1 blocks 14/11/26 14:15:47 INFO BlockFetcherIterator$BasicBlockFetcherIterator: Started 0 remote fetches in 4 ms 14/11/26 14:15:48 INFO FileOutputCommitter: Saved output of task ‘attempt_201411261415_0000_m_000000_1‘ to hdfs://Master:9000/user/huxiu/WordCountOutput/_temporary/0/task_201411261415_0000_m_000000 14/11/26 14:15:48 INFO SparkHadoopWriter: attempt_201411261415_0000_m_000000_1: Committed 14/11/26 14:15:48 INFO Executor: Finished task 0.0 in stage 0.0 (TID 1). 826 bytes result sent to driver 14/11/26 14:15:48 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 1) in 847 ms on localhost (1/1) 14/11/26 14:15:48 INFO DAGScheduler: Stage 0 (saveAsTextFile at SparkWordCount.scala:33) finished in 0.847 s 14/11/26 14:15:48 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 14/11/26 14:15:48 INFO SparkContext: Job finished: saveAsTextFile at SparkWordCount.scala:33, took 1.469630513 s 14/11/26 14:15:48 INFO SparkUI: Stopped Spark web UI at http://huxiu-PC:4040 14/11/26 14:15:48 INFO DAGScheduler: Stopping DAGScheduler 14/11/26 14:15:49 INFO MapOutputTrackerMasterActor: MapOutputTrackerActor stopped! 14/11/26 14:15:49 INFO ConnectionManager: Selector thread was interrupted! 14/11/26 14:15:49 INFO ConnectionManager: ConnectionManager stopped 14/11/26 14:15:49 INFO MemoryStore: MemoryStore cleared 14/11/26 14:15:49 INFO BlockManager: BlockManager stopped 14/11/26 14:15:49 INFO BlockManagerMaster: BlockManagerMaster stopped Test is Succeed!!! 14/11/26 14:15:49 INFO SparkContext: Successfully stopped SparkContext 14/11/26 14:15:49 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon. 14/11/26 14:15:49 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports. 14/11/26 14:15:49 INFO Remoting: Remoting shut down 14/11/26 14:15:49 INFO RemoteActorRefProvider$RemotingTerminator: Remoting shut down. Process finished with exit code 0
标签：style blog http io ar color os sp java
原文地址：http://www.cnblogs.com/likai198981/p/4123233.html
