2013-07-24 45 views
0

在Eclipse 6.91中运行Hadoop 0.20.2 M/R应用程序。Hadoop Map/Reduce WARR mapred.LocalJobRunner:job_local_0001 java.io.EOFException?

我得到这些错误和警告执行后:

13/07/24 16:52:52 INFO jvm.JvmMetrics: Initializing JVM Metrics with  processName=JobTracker, sessionId= 
13/07/24 16:52:52 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 
13/07/24 16:52:52 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String). 
13/07/24 16:52:52 INFO input.FileInputFormat: Total input paths to process : 1 
13/07/24 16:52:54 INFO mapred.JobClient: Running job: job_local_0001 
13/07/24 16:52:54 INFO input.FileInputFormat: Total input paths to process : 1 
13/07/24 16:52:54 INFO mapred.MapTask: io.sort.mb = 100 
13/07/24 16:52:54 INFO mapred.MapTask: data buffer = 79691776/99614720 
13/07/24 16:52:54 INFO mapred.MapTask: record buffer = 262144/327680 
13/07/24 16:52:55 INFO mapred.MapTask: Starting flush of map output 
13/07/24 16:52:55 INFO mapred.MapTask: Finished spill 0 
13/07/24 16:52:55 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000000_0 is done. And is in the process of commiting 
13/07/24 16:52:55 INFO mapred.LocalJobRunner: 
13/07/24 16:52:55 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000000_0' done. 
13/07/24 16:52:55 INFO mapred.LocalJobRunner: 
13/07/24 16:52:55 INFO mapred.Merger: Merging 1 sorted segments 
13/07/24 16:52:55 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 7204 bytes 
13/07/24 16:52:55 INFO mapred.LocalJobRunner: 
13/07/24 16:52:55 WARN mapred.LocalJobRunner: job_local_0001 
java.io.EOFException 
at java.io.DataInputStream.readFully(DataInputStream.java:197) 
at java.io.DataInputStream.readLong(DataInputStream.java:416) 
at java.io.DataInputStream.readDouble(DataInputStream.java:468) 
at Continents$CountryPropertiesWritable.readFields(Continents.java:62) 
at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:67) 
at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:40) 
at org.apache.hadoop.mapreduce.ReduceContext.nextKeyValue(ReduceContext.java:116) 
at org.apache.hadoop.mapreduce.ReduceContext.nextKey(ReduceContext.java:92) 
at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:175) 
at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:566) 
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:408) 
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:216) 
13/07/24 16:52:55 INFO mapred.JobClient: map 100% reduce 0% 
13/07/24 16:52:55 INFO mapred.JobClient: Job complete: job_local_0001 
13/07/24 16:52:55 INFO mapred.JobClient: Counters: 13 
13/07/24 16:52:55 INFO mapred.JobClient: FileSystemCounters 
13/07/24 16:52:55 INFO mapred.JobClient:  HDFS_BYTES_READ=29783 
13/07/24 16:52:55 INFO mapred.JobClient:  FILE_BYTES_WRITTEN=24461 
13/07/24 16:52:55 INFO mapred.JobClient:  HDFS_BYTES_WRITTEN=17085 
13/07/24 16:52:55 INFO mapred.JobClient: Map-Reduce Framework 
13/07/24 16:52:55 INFO mapred.JobClient:  Reduce input groups=0 
13/07/24 16:52:55 INFO mapred.JobClient:  Combine output records=0 
13/07/24 16:52:55 INFO mapred.JobClient:  Map input records=252 
13/07/24 16:52:55 INFO mapred.JobClient:  Reduce shuffle bytes=0 
13/07/24 16:52:55 INFO mapred.JobClient:  Reduce output records=0 
13/07/24 16:52:55 INFO mapred.JobClient:  Spilled Records=251 
13/07/24 16:52:55 INFO mapred.JobClient:  Map output bytes=6700 
13/07/24 16:52:55 INFO mapred.JobClient:  Combine input records=0 
13/07/24 16:52:55 INFO mapred.JobClient:  Map output records=251 
13/07/24 16:52:55 INFO mapred.JobClient:  Reduce input records=0 
13/07/24 16:52:55 ERROR hdfs.DFSClient: Exception closing file /user/ww- pc/cyg_server/exitHouseProperties1/_temporary/_attempt_local_0001_r_000000_0/part-r-00000 : org.apache.hadoop.ipc.RemoteException: java.io.IOException: Could not complete write to file /user/ww- pc/cyg_server/exitHouseProperties1/_temporary/_attempt_local_0001_r_000000_0/part-r-00000 by DFSClient_1179141130 
at org.apache.hadoop.hdfs.server.namenode.NameNode.complete(NameNode.java:449) 
at sun.reflect.GeneratedMethodAccessor13.invoke(Unknown Source) 
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
at java.lang.reflect.Method.invoke(Method.java:606) 
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:508) 
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:959) 
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:955) 
at java.security.AccessController.doPrivileged(Native Method) 
at javax.security.auth.Subject.doAs(Subject.java:415) 
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:953) 

org.apache.hadoop.ipc.RemoteException: java.io.IOException: Could not complete write to file /user/ww-pc/cyg_server/exitHouseProperties1/_temporary/_attempt_local_0001_r_000000_0/part-r-00000 by DFSClient_1179141130 
at org.apache.hadoop.hdfs.server.namenode.NameNode.complete(NameNode.java:449) 
at sun.reflect.GeneratedMethodAccessor13.invoke(Unknown Source) 
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
at java.lang.reflect.Method.invoke(Method.java:606) 
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:508) 
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:959) 
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:955) 
at java.security.AccessController.doPrivileged(Native Method) 
at javax.security.auth.Subject.doAs(Subject.java:415) 
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:953) 

at org.apache.hadoop.ipc.Client.call(Client.java:740) 
at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:220) 
at com.sun.proxy.$Proxy0.complete(Unknown Source) 
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) 
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) 
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
at java.lang.reflect.Method.invoke(Method.java:606) 
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:82) 
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:59) 
at com.sun.proxy.$Proxy0.complete(Unknown Source) 
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.closeInternal(DFSClient.java:3264) 
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.close(DFSClient.java:3188) 
at org.apache.hadoop.hdfs.DFSClient$LeaseChecker.close(DFSClient.java:1043) 
at org.apache.hadoop.hdfs.DFSClient.close(DFSClient.java:237) 
at org.apache.hadoop.hdfs.DistributedFileSystem.close(DistributedFileSystem.java:269) 
at org.apache.hadoop.fs.FileSystem$Cache.closeAll(FileSystem.java:1424) 
at org.apache.hadoop.fs.FileSystem.closeAll(FileSystem.java:217) 
at org.apache.hadoop.fs.FileSystem$ClientFinalizer.run(FileSystem.java:202) 

我觉得WARN mapred.LocalJobRunner: job_local_0001 java.io.EOFException是错误的原因。我应该在代码中更改什么?密钥和值的输入和输出类型是否可能出现错误?

相关代码:从Main

public static class Map extends Mapper<LongWritable, Text, Text, HousePropertiesWritable> { 
     private Text housekey = new Text(); 

    @Override 
    public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { 
     ...... 
     ...... 
     context.write(housekey, new HousePropertiesWritable(...variables..) 
    } 
} 

public static class Reduce extends Reducer<Text, HousePropertiesWritable, Text, Text> { 
    @Override 
    public void reduce(Text key, Iterable<HousePropertiesWritable> values, Context context) 
       throws IOException, InterruptedException { 
     .... 
     .... 
     context.write(key, new Text(output)); 
    } 
} 

相关代码,配置Job

Job job = new Job(conf, "HouseCalculation"); 
    job.setJarByClass(House.class); 
    job.setOutputKeyClass(Text.class); 
    job.setOutputValueClass(HousePropertiesWritable.class); 

    job.setMapperClass(Map.class); 
    job.setReducerClass(Reduce.class); 

    job.setInputFormatClass(TextInputFormat.class); 
    job.setOutputFormatClass(TextOutputFormat.class); 
+0

是什么在HousePropertiesWritable.class? –

+0

它在[this](https://www.dbtsai.com/blog/hadoop-mr-to-implement-people-you-might-know-friendship-recommendation/)项目中类FriendCountWritable类。我实际上想要HousePropertiesWritable.class中的值对象 –

+0

我在job.setOutputValueClass(HousePropertiesWritable.class)中看到一个问题,难道你不认为它应该是新的job.setOutputValueClass(Text.class)?接下来,我认为你正在做的不同于FriendCountWritable类。你会介意分享HousePropertiesWritable的代码,以便有人可以提供帮助吗? –

回答

2

感谢克里斯白,我发现阅读字段的错误,并写在HousePropertiesWritable类的方法。

我用in.readLine()和out.writeBytes()来表示字符串变量。 现在我改变in.readUTF()和out.writeUTF()和所有正常工作。再次

感谢,

干杯