hadoop运行mahout问题解决方法

 问题1：

  1. java.lang.IncompatibleClassChangeError:Found interface org.apache.hadoop.mapreduce.JobContext, but class was expected
at org.apache.mahout.common.HadoopUtil.getCustomJobName(HadoopUtil.java:174)
at org.apache.mahout.common.AbstractJob.prepareJob(AbstractJob.java:614)
at org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob.run(PreparePreferenceMatrixJob.java:73)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)

     

hadoop还不能支持hadoop1
 

 问题2：

  1. [root@crxy170 ~]# mahout hadoop jar jar.jar cmd.client.app.ClientAPP
MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
Running on hadoop, using /usr/lib/hadoop/bin/hadoop and HADOOP_CONF_DIR=/etc/hadoop/conf
SLF4J:Class path contains multiple SLF4J bindings.
SLF4J:Found binding in[jar:file:/usr/lib/zookeeper/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J:Found binding in[jar:file:/usr/local/hbase-0.98.8-hadoop2/lib/slf4j-log4j12-1.6.4.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J:Found binding in[jar:file:/usr/local/mahout0.9/mahout-core-0.9-job.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J:See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J:Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
14/12/0600:10:32 INFO common.AbstractJob:Command line arguments:{--booleanData=[true],--endPhase=[2147483647],--input=[hdfs://192.168.1.170:8020/user/root/userCF],--maxPrefsInItemSimilarity=[500],--maxPrefsPerUser=[10],--maxSimilaritiesPerItem=[100],--minPrefsPerUser=[1],--numRecommendations=[10],--output=[hdfs://192.168.1.170:8020/user/root/userCF/result/],--similarityClassname=[org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity],--startPhase=[0],--tempDir=[hdfs://192.168.1.170:8020/tmp/1417795832292]}
14/12/0600:10:32 INFO common.AbstractJob:Command line arguments:{--booleanData=[true],--endPhase=[2147483647],--input=[hdfs://192.168.1.170:8020/user/root/userCF],--minPrefsPerUser=[1],--output=[hdfs://192.168.1.170:8020/tmp/1417795832292/preparePreferenceMatrix],--ratingShift=[0.0],--startPhase=[0],--tempDir=[hdfs://192.168.1.170:8020/tmp/1417795832292]}
14/12/0600:10:33 INFO Configuration.deprecation: mapred.input.dir is deprecated.Instead, use mapreduce.input.fileinputformat.inputdir
14/12/0600:10:33 INFO Configuration.deprecation: mapred.compress.map.output is deprecated.Instead, use mapreduce.map.output.compress
14/12/0600:10:33 INFO Configuration.deprecation: mapred.output.dir is deprecated.Instead, use mapreduce.output.fileoutputformat.outputdir
14/12/0600:10:33 INFO client.RMProxy:Connecting to ResourceManager at crxy171.crxy/192.168.1.171:8032
14/12/0600:10:35 INFO input.FileInputFormat:Total input paths to process :1
14/12/0600:10:35 INFO mapreduce.JobSubmitter: number of splits:1
14/12/0600:10:35 INFO mapreduce.JobSubmitter:Submitting tokens for job: job_1417519292729_0030
14/12/0600:10:35 INFO impl.YarnClientImpl:Submitted application application_1417519292729_0030
14/12/0600:10:35 INFO mapreduce.Job:The url to track the job: http://crxy171.crxy:8088/proxy/application_1417519292729_0030/
14/12/0600:10:35 INFO mapreduce.Job:Running job: job_1417519292729_0030
14/12/0600:10:43 INFO mapreduce.Job:Job job_1417519292729_0030 running in uber mode : false
14/12/0600:10:43 INFO mapreduce.Job: map 0% reduce 0%
14/12/0600:10:49 INFO mapreduce.Job: map 100% reduce 0%
14/12/0600:10:56 INFO mapreduce.Job: map 100% reduce 100%
14/12/0600:10:56 INFO mapreduce.Job:Job job_1417519292729_0030 completed successfully
14/12/0600:10:56 INFO mapreduce.Job:Counters:49
FileSystemCounters
FILE:Number of bytes read=54
FILE:Number of bytes written=182573
FILE:Number of read operations=0
FILE:Number of large read operations=0
FILE:Number of write operations=0
HDFS:Number of bytes read=326
HDFS:Number of bytes written=187
HDFS:Number of read operations=6
HDFS:Number of large read operations=0
HDFS:Number of write operations=2
JobCounters
Launched map tasks=1
Launched reduce tasks=1
Rack-local map tasks=1
Total time spent by all maps in occupied slots (ms)=3962
Total time spent by all reduces in occupied slots (ms)=4134
Total time spent by all map tasks (ms)=3962
Total time spent by all reduce tasks (ms)=4134
Total vcore-seconds taken by all map tasks=3962
Total vcore-seconds taken by all reduce tasks=4134
Total megabyte-seconds taken by all map tasks=4057088
Total megabyte-seconds taken by all reduce tasks=4233216
Map-ReduceFramework
Map input records=21
Map output records=21
Map output bytes=84
Map output materialized bytes=46
Input split bytes=116
Combine input records=21
Combine output records=7
Reduce input groups=7
Reduce shuffle bytes=46
Reduce input records=7
Reduce output records=7
SpilledRecords=14
ShuffledMaps=1
FailedShuffles=0
MergedMap outputs=1
GC time elapsed (ms)=98
CPU time spent (ms)=2330
Physical memory (bytes) snapshot=460136448
Virtual memory (bytes) snapshot=1795633152
Total committed heap usage (bytes)=355467264
ShuffleErrors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
FileInputFormatCounters
BytesRead=210
FileOutputFormatCounters
BytesWritten=187
14/12/0600:10:56 INFO client.RMProxy:Connecting to ResourceManager at crxy171.crxy/192.168.1.171:8032
14/12/0600:10:56 INFO input.FileInputFormat:Total input paths to process :1
14/12/0600:10:57 INFO mapreduce.JobSubmitter: number of splits:1
14/12/0600:10:57 INFO mapreduce.JobSubmitter:Submitting tokens for job: job_1417519292729_0031
14/12/0600:10:57 INFO impl.YarnClientImpl:Submitted application application_1417519292729_0031
14/12/0600:10:57 INFO mapreduce.Job:The url to track the job: http://crxy171.crxy:8088/proxy/application_1417519292729_0031/
14/12/0600:10:57 INFO mapreduce.Job:Running job: job_1417519292729_0031
14/12/0600:11:08 INFO mapreduce.Job:Job job_1417519292729_0031 running in uber mode : false
14/12/0600:11:08 INFO mapreduce.Job: map 0% reduce 0%
14/12/0600:11:08 INFO mapreduce.Job:Job job_1417519292729_0031 failed with state FAILED due to:Application application_1417519292729_0031 failed 2 times due to AM Containerfor appattempt_1417519292729_0031_000002 exited with exitCode:1 due to:Exception from container-launch: org.apache.hadoop.util.Shell$ExitCodeException:
org.apache.hadoop.util.Shell$ExitCodeException:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:511)
at org.apache.hadoop.util.Shell.run(Shell.java:424)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:656)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 1
.Failing this attempt..Failing the application.
14/12/0600:11:08 INFO mapreduce.Job:Counters:0
java.io.FileNotFoundException:File does not exist:/tmp/1417795832292/preparePreferenceMatrix/numUsers.bin
at org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:65)
at org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:55)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsUpdateTimes(FSNamesystem.java:1726)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsInt(FSNamesystem.java:1669)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1649)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1621)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getBlockLocations(NameNodeRpcServer.java:482)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getBlockLocations(ClientNamenodeProtocolServerSideTranslatorPB.java:322)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1986)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1982)
at java.security.AccessController.doPrivileged(NativeMethod)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1554)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1980)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(NativeMethod)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106)
at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73)
at org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1140)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1128)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1118)
at org.apache.hadoop.hdfs.DFSInputStream.fetchLocatedBlocksAndGetLastBlockLength(DFSInputStream.java:264)
at org.apache.hadoop.hdfs.DFSInputStream.openInfo(DFSInputStream.java:231)
at org.apache.hadoop.hdfs.DFSInputStream.<init>(DFSInputStream.java:224)
at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:1291)
at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:300)
at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:296)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:296)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:764)
at org.apache.mahout.common.HadoopUtil.readInt(HadoopUtil.java:339)
at org.apache.mahout.cf.taste.hadoop.item.RecommenderJob.run(RecommenderJob.java:172)
at org.conan.mymahout.recommendation.ItemCFHadoop.toRunByClient(UnknownSource)
at cmd.client.app.ClientAPP.main(UnknownSource)
at sun.reflect.NativeMethodAccessorImpl.invoke0(NativeMethod)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
Caused by: org.apache.hadoop.ipc.RemoteException(java.io.FileNotFoundException):File does not exist:/tmp/1417795832292/preparePreferenceMatrix/numUsers.bin
at org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:65)
at org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:55)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsUpdateTimes(FSNamesystem.java:1726)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsInt(FSNamesystem.java:1669)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1649)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1621)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getBlockLocations(NameNodeRpcServer.java:482)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getBlockLocations(ClientNamenodeProtocolServerSideTranslatorPB.java:322)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1986)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1982)
at java.security.AccessController.doPrivileged(NativeMethod)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1554)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1980)

    　　

http://qnalist.com/questions/4884816/how-to-execute-recommenderjob-without-preference-value

这里有人是这样解决的：数据文件中字段的分割原来是空格，改为逗号。我用的数据文件本来就是逗号。还是报这个错误。

 

 

解决方法：

Apache hadoop

设置方法参考： hadoop2.2+mahout0.9实战 - 推酷 http://www.tuicool.com/articles/ryU7Ff

cdh

版本：5.1.3 经验感觉，cdh和Apache的hadoop在使用的时候，同样的技术在使用的时候经常不同。mahout也该用cloudera自己的。

 

在centos中安装mahout：sudo yum install mahout

 

是cloudera官网提供的

 

vi /etc/hadoop/conf/hadoop-env.sh
在HADOOP_CLASSPATH后添加：/usr/lib/mahout/*:/usr/lib/mahout/lib/*
 
现在可以运行了：
mahout hadoop jar jar.jar  cmd.client.app.ClientAPP

或者hadoop jar jar.jar  cmd.client.app.ClientAPP都能运行

 
 
 
 
 
 
 
 
 
 
 
 
 
 





posted @ 2014-12-05 17:53  amxuefly  阅读(1418)  评论(0)  编辑  收藏  举报