hadoop mapreduce报错 5C

java.lang.RuntimeException: Error caching map.xml: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /tmp/hive-root/root/935624e0-aea4-47d6-842c-32d42d506d4b/hive_2017-02-16_04-42-39_689_6740522155632742535-1/-mr-10004/7b69d4eb-6fe2-4c55-a6cd-ba4dcd5c2054/map.xml could only be replicated to 0 nodes instead of minReplication (=1). There are 2 datanode(s) running and 2 node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1571)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3107)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3031)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:725)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2073)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1744)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1453)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1171)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1161)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:232)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:183)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:399)
at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:776)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:714)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:641)
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:498)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /tmp/hive-root/root/935624e0-aea4-47d6-842c-32d42d506d4b/hive_2017-02-16_04-42-39_689_6740522155632742535-1/-mr-10004/7b69d4eb-6fe2-4c55-a6cd-ba4dcd5c2054/map.xml could only be replicated to 0 nodes instead of minReplication (=1). There are 2 datanode(s) running and 2 node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1571)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3107)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3031)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:725)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:492)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)

    at org.apache.hadoop.ipc.Client.call(Client.java:1475)
    at org.apache.hadoop.ipc.Client.call(Client.java:1412)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
    at com.sun.proxy.$Proxy31.addBlock(Unknown Source)
    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:418)
    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:498)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
    at com.sun.proxy.$Proxy32.addBlock(Unknown Source)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1455)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1251)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:448)

Job Submission failed with exception 'java.lang.RuntimeException(Error caching map.xml: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /tmp/hive-root/root/935624e0-aea4-47d6-842c-32d42d506d4b/hive_2017-02-16_04-42-39_689_6740522155632742535-1/-mr-10004/7b69d4eb-6fe2-4c55-a6cd-ba4dcd5c2054/map.xml could only be replicated to 0 nodes instead of minReplication (=1). There are 2 datanode(s) running and 2 node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1571)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3107)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3031)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:725)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:492)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
)'
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask. Error caching map.xml: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /tmp/hive-root/root/935624e0-aea4-47d6-842c-32d42d506d4b/hive_2017-02-16_04-42-39_689_6740522155632742535-1/-mr-10004/7b69d4eb-6fe2-4c55-a6cd-ba4dcd5c2054/map.xml could only be replicated to 0 nodes instead of minReplication (=1). There are 2 datanode(s) running and 2 node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1571)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getNewBlockTargets(FSNamesystem.java:3107)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3031)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:725)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:492)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)

2个回答

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各位大神,我是hadoop新手,在自己电脑安装好hadoop后,运行wordcount报错,报错已困扰两天,希望有大神可以帮解决。 报错日志如下: [hadoop@hadoop0 mapreduce]$ hadoop jar hadoop-mapreduce-examples-2.7.1.jar wordcount /input /output 17/04/14 13:49:46 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 17/04/14 13:49:48 INFO client.RMProxy: Connecting to ResourceManager at hadoop0/192.168.79.172:8032 17/04/14 13:49:50 INFO input.FileInputFormat: Total input paths to process : 2 17/04/14 13:49:50 INFO mapreduce.JobSubmitter: number of splits:2 17/04/14 13:49:50 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1492077890345_0003 17/04/14 13:49:51 INFO impl.YarnClientImpl: Submitted application application_1492077890345_0003 17/04/14 13:49:51 INFO mapreduce.Job: The url to track the job: http://hadoop0:8088/proxy/application_1492077890345_0003/ 17/04/14 13:49:51 INFO mapreduce.Job: Running job: job_1492077890345_0003 17/04/14 13:50:12 INFO mapreduce.Job: Job job_1492077890345_0003 running in uber mode : false 17/04/14 13:50:12 INFO mapreduce.Job: map 0% reduce 0% 17/04/14 13:50:12 INFO mapreduce.Job: Job job_1492077890345_0003 failed with state FAILED due to: Application application_1492077890345_0003 failed 2 times due to Error launching appattempt_1492077890345_0003_000002. Got exception: java.net.ConnectException: Call From hadoop0/192.168.79.172 to  :54895 failed on connection exception: java.net.ConnectException: 拒绝连接; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:792) at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:732) at org.apache.hadoop.ipc.Client.call(Client.java:1480) at org.apache.hadoop.ipc.Client.call(Client.java:1407) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229) at com.sun.proxy.$Proxy83.startContainers(Unknown Source) at org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagementProtocolPBClientImpl.startContainers(ContainerManagementProtocolPBClientImpl.java:96) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:119) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:254) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: java.net.ConnectException: 拒绝连接 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:495) at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:609) at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:707) at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:370) at org.apache.hadoop.ipc.Client.getConnection(Client.java:1529) at org.apache.hadoop.ipc.Client.call(Client.java:1446) ... 9 more . Failing the application. 17/04/14 13:50:12 INFO mapreduce.Job: Counters: 0 metrics文件内容如下: ![图片说明](https://img-ask.csdn.net/upload/201704/14/1492150334_860585.png) 另外,在报错日志中发下这么句话Call From hadoop0/192.168.79.172 to  :54895 failed ,为什么54895只有端口前面没有IP,是不是环境没有配置正确?

hadoop里运行mapReduce出错

hadoop里用mapReduce分析一本不到4M的小说数据,在hadoop里运行,运行了将近一个半小时才运行完,但是指出来一个_temporary的文件,还报错,java代码是没有问题的,

【新手】Hadoop MapReduce 执行中Map没有输出

hadoop - hadoop2.6 分布式 - 简单实例学习 - 统计某年的最高温度和按年份将温度从高到底排序 - 原明卓 - 博客频道 - CSDN.NET http://blog.csdn.net/lablenet/article/details/50608197#java 我按照这篇博客做的,运行结果见图。 ----------------------------------------------- 16/10/19 05:27:51 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 16/10/19 05:27:52 INFO input.FileInputFormat: Total input paths to process : 1 16/10/19 05:27:52 INFO util.NativeCodeLoader: Loaded the native-hadoop library 16/10/19 05:27:52 WARN snappy.LoadSnappy: Snappy native library not loaded 16/10/19 05:27:54 INFO mapred.JobClient: Running job: job_201610190234_0013 16/10/19 05:27:55 INFO mapred.JobClient: map 0% reduce 0% 16/10/19 05:28:24 INFO mapred.JobClient: map 100% reduce 0% 16/10/19 05:28:41 INFO mapred.JobClient: map 100% reduce 20% 16/10/19 05:28:42 INFO mapred.JobClient: map 100% reduce 40% 16/10/19 05:28:50 INFO mapred.JobClient: map 100% reduce 46% 16/10/19 05:28:51 INFO mapred.JobClient: map 100% reduce 60% 16/10/19 05:29:01 INFO mapred.JobClient: map 100% reduce 100% 16/10/19 05:29:01 INFO mapred.JobClient: Job complete: job_201610190234_0013 16/10/19 05:29:01 INFO mapred.JobClient: Counters: 28 16/10/19 05:29:01 INFO mapred.JobClient: Job Counters 16/10/19 05:29:01 INFO mapred.JobClient: Launched reduce tasks=6 16/10/19 05:29:01 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=26528 16/10/19 05:29:01 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0 16/10/19 05:29:01 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0 16/10/19 05:29:01 INFO mapred.JobClient: Launched map tasks=1 16/10/19 05:29:01 INFO mapred.JobClient: Data-local map tasks=1 16/10/19 05:29:01 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=107381 16/10/19 05:29:01 INFO mapred.JobClient: File Output Format Counters 16/10/19 05:29:01 INFO mapred.JobClient: Bytes Written=0 16/10/19 05:29:01 INFO mapred.JobClient: FileSystemCounters 16/10/19 05:29:01 INFO mapred.JobClient: FILE_BYTES_READ=30 16/10/19 05:29:01 INFO mapred.JobClient: HDFS_BYTES_READ=1393 16/10/19 05:29:01 INFO mapred.JobClient: FILE_BYTES_WRITTEN=354256 16/10/19 05:29:01 INFO mapred.JobClient: File Input Format Counters 16/10/19 05:29:01 INFO mapred.JobClient: Bytes Read=1283 16/10/19 05:29:01 INFO mapred.JobClient: Map-Reduce Framework 16/10/19 05:29:01 INFO mapred.JobClient: Map output materialized bytes=30 16/10/19 05:29:01 INFO mapred.JobClient: Map input records=46 16/10/19 05:29:01 INFO mapred.JobClient: Reduce shuffle bytes=30 16/10/19 05:29:01 INFO mapred.JobClient: Spilled Records=0 16/10/19 05:29:01 INFO mapred.JobClient: Map output bytes=0 16/10/19 05:29:01 INFO mapred.JobClient: CPU time spent (ms)=16910 16/10/19 05:29:01 INFO mapred.JobClient: Total committed heap usage (bytes)=195301376 16/10/19 05:29:01 INFO mapred.JobClient: Combine input records=0 16/10/19 05:29:01 INFO mapred.JobClient: SPLIT_RAW_BYTES=110 16/10/19 05:29:01 INFO mapred.JobClient: Reduce input records=0 16/10/19 05:29:01 INFO mapred.JobClient: Reduce input groups=0 16/10/19 05:29:01 INFO mapred.JobClient: Combine output records=0 16/10/19 05:29:01 INFO mapred.JobClient: Physical memory (bytes) snapshot=331567104 16/10/19 05:29:01 INFO mapred.JobClient: Reduce output records=0 16/10/19 05:29:01 INFO mapred.JobClient: Virtual memory (bytes) snapshot=2264113152 16/10/19 05:29:01 INFO mapred.JobClient: Map output records=0 ----------------------------------------------- yyyy-MM-dd HH:mm:ss\t温度 example:1995-10-10 10:10:10 6.54 这是数据源格式,我把 RunJob中的 int year=c.get(1); String hot=ss[1].substring(0,ss[1].lastIndexOf("°C")); KeyPari keyPari=new KeyPari(); keyPari.setYear(year); 中的°C改成了\n。 ----------------------------------------------- 代码和博文的一样,只删掉了MAP里面的IF判断和修改了输入输出路径。求前辈们指教一下为什么会这样,深表感激。

运行hadoop的mapreduce任务出错!!!

在运行hadoop的mapreduce任务时,如果是小文件的话是能够执行成功,但是在运行大一点文件的时候就会出现以下的报错。网上找了很多资料都不能解决我的这个问题,不知道有哪位大神能够解答以下呢。 could only be replicated to 0 nodes instead of minReplication (=1). There are 1 datanode(s) running and no node(s) are excluded in this operation. at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1733) at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:265) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2496) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:828) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:506) at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:447) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:989) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:845) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:788) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1807) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2455) at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1481) at org.apache.hadoop.ipc.Client.call(Client.java:1427) at org.apache.hadoop.ipc.Client.call(Client.java:1337) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:227) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116) at com.sun.proxy.$Proxy14.addBlock(Unknown Source) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:440) 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:498) at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:398) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:163) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:155) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:335) at com.sun.proxy.$Proxy15.addBlock(Unknown Source) at org.apache.hadoop.hdfs.DataStreamer.locateFollowingBlock(DataStreamer.java:1733) at org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1536) at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:658)

win10下运行hadoop程序报错

在win10的eclipse上运行一段代码需要用到hadoop。一开始报错:Could not locate executable null\bin\winutils.exe in the Hadoop binaries 按照指导下载了winutils.exe 并且配置了环境变量。再运行程序又报错: Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: --------- at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522) at org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:171) at org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveContext.scala:162) at org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala:160) at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:167) at org.apache.spark.sql.CarbonContext.<init>(CarbonContext.scala:34) at org.carbondata.examples.util.InitForExamples$.createCarbonContext(InitForExamples.scala:42) at org.carbondata.examples.CarbonExample$.main(CarbonExample.scala:26) at org.carbondata.examples.CarbonExample.main(CarbonExample.scala) Caused by: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: --------- at org.apache.hadoop.hive.ql.session.SessionState.createRootHDFSDir(SessionState.java:612) at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:554) at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508) ... 8 more ``` 按照指导在win10 cmd窗口后运行 winutils.exe chmod 777 /tmp/hive 报如下错误: ChangeFileModeByMask error (3): ??????????? 哪位大神现身救助

maven3.3.9编译hadoop2.6.5报错 帮忙解决问题

[INFO] Building Apache Hadoop Main 2.6.5 [INFO] ------------------------------------------------------------------------ Downloading: http://mirrors.ibiblio.org/pub/mirrors/maven2/org/apache/maven/plugins/maven-javadoc-plugin/maven-metadata.xml [WARNING] Checksum validation failed, expected <html> but is b113767b47336dcc165c5dd2222b5df4cb86b7ce for http://mirrors.ibiblio.org/pub/mirrors/maven2/org/apache/maven/plugins/maven-javadoc-plugin/maven-metadata.xml [WARNING] Could not validate integrity of download from http://mirrors.ibiblio.org/pub/mirrors/maven2/org/apache/maven/plugins/maven-javadoc-plugin/maven-metadata.xml: Checksum validation failed, expected <html> but is b113767b47336dcc165c5dd2222b5df4cb86b7ce [WARNING] Checksum validation failed, expected <html> but is b113767b47336dcc165c5dd2222b5df4cb86b7ce for http://mirrors.ibiblio.org/pub/mirrors/maven2/org/apache/maven/plugins/maven-javadoc-plugin/maven-metadata.xml Downloaded: http://mirrors.ibiblio.org/pub/mirrors/maven2/org/apache/maven/plugins/maven-javadoc-plugin/maven-metadata.xml (99 KB at 11.8 KB/sec) [WARNING] The metadata /root/.m2/repository/org/apache/maven/plugins/maven-javadoc-plugin/maven-metadata-ibiblio.org.xml is invalid: end tag name </body> must match start tag name <hr> from line 888 (position: START_TAG seen ... 08-Nov-2014 19:04 207\r\n</pre><hr></body>... @888:18) [INFO] ------------------------------------------------------------------------ [INFO] Reactor Summary: [INFO] [INFO] Apache Hadoop Main ................................. FAILURE [ 8.416 s] [INFO] Apache Hadoop Build Tools .......................... SKIPPED [INFO] Apache Hadoop Project POM .......................... SKIPPED [INFO] Apache Hadoop Annotations .......................... SKIPPED [INFO] Apache Hadoop Assemblies ........................... SKIPPED [INFO] Apache Hadoop Project Dist POM ..................... SKIPPED [INFO] Apache Hadoop Maven Plugins ........................ SKIPPED [INFO] Apache Hadoop MiniKDC .............................. SKIPPED [INFO] Apache Hadoop Auth ................................. SKIPPED [INFO] Apache Hadoop Auth Examples ........................ SKIPPED [INFO] Apache Hadoop Common ............................... SKIPPED [INFO] Apache Hadoop NFS .................................. SKIPPED [INFO] Apache Hadoop KMS .................................. SKIPPED [INFO] Apache Hadoop Common Project ....................... SKIPPED [INFO] Apache Hadoop HDFS ................................. SKIPPED [INFO] Apache Hadoop HttpFS ............................... SKIPPED [INFO] Apache Hadoop HDFS BookKeeper Journal .............. SKIPPED [INFO] Apache Hadoop HDFS-NFS ............................. SKIPPED [INFO] Apache Hadoop HDFS Project ......................... SKIPPED [INFO] hadoop-yarn ........................................ SKIPPED [INFO] hadoop-yarn-api .................................... SKIPPED [INFO] hadoop-yarn-common ................................. SKIPPED [INFO] hadoop-yarn-server ................................. SKIPPED [INFO] hadoop-yarn-server-common .......................... SKIPPED [INFO] hadoop-yarn-server-nodemanager ..................... SKIPPED [INFO] hadoop-yarn-server-web-proxy ....................... SKIPPED [INFO] hadoop-yarn-server-applicationhistoryservice ....... SKIPPED [INFO] hadoop-yarn-server-resourcemanager ................. SKIPPED [INFO] hadoop-yarn-server-tests ........................... SKIPPED [INFO] hadoop-yarn-client ................................. SKIPPED [INFO] hadoop-yarn-applications ........................... SKIPPED [INFO] hadoop-yarn-applications-distributedshell .......... SKIPPED [INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SKIPPED [INFO] hadoop-yarn-site ................................... SKIPPED [INFO] hadoop-yarn-registry ............................... SKIPPED [INFO] hadoop-yarn-project ................................ SKIPPED [INFO] hadoop-mapreduce-client ............................ SKIPPED [INFO] hadoop-mapreduce-client-core ....................... SKIPPED [INFO] hadoop-mapreduce-client-common ..................... SKIPPED [INFO] hadoop-mapreduce-client-shuffle .................... SKIPPED [INFO] hadoop-mapreduce-client-app ........................ SKIPPED [INFO] hadoop-mapreduce-client-hs ......................... SKIPPED [INFO] hadoop-mapreduce-client-jobclient .................. SKIPPED [INFO] hadoop-mapreduce-client-hs-plugins ................. SKIPPED [INFO] Apache Hadoop MapReduce Examples ................... SKIPPED [INFO] hadoop-mapreduce ................................... SKIPPED [INFO] Apache Hadoop MapReduce Streaming .................. SKIPPED [INFO] Apache Hadoop Distributed Copy ..................... SKIPPED [INFO] Apache Hadoop Archives ............................. SKIPPED [INFO] Apache Hadoop Rumen ................................ SKIPPED [INFO] Apache Hadoop Gridmix .............................. SKIPPED [INFO] Apache Hadoop Data Join ............................ SKIPPED [INFO] Apache Hadoop Ant Tasks ............................ SKIPPED [INFO] Apache Hadoop Extras ............................... SKIPPED [INFO] Apache Hadoop Pipes ................................ SKIPPED [INFO] Apache Hadoop OpenStack support .................... SKIPPED [INFO] Apache Hadoop Amazon Web Services support .......... SKIPPED [INFO] Apache Hadoop Client ............................... SKIPPED [INFO] Apache Hadoop Mini-Cluster ......................... SKIPPED [INFO] Apache Hadoop Scheduler Load Simulator ............. SKIPPED [INFO] Apache Hadoop Tools Dist ........................... SKIPPED [INFO] Apache Hadoop Tools ................................ SKIPPED [INFO] Apache Hadoop Distribution ......................... SKIPPED [INFO] ------------------------------------------------------------------------ [INFO] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] Total time: 06:03 min [INFO] Finished at: 2018-06-23T11:25:17+08:00 [INFO] Final Memory: 27M/69M [INFO] ------------------------------------------------------------------------ [ERROR] Error resolving version for plugin 'org.apache.maven.plugins:maven-javadoc-plugin' from the repositories [local (/root/.m2/repository), ibiblio.org (http://mirrors.ibiblio.org/pub/mirrors/maven2)]: Plugin not found in any plugin repository -> [Help 1] [ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. [ERROR] Re-run Maven using the -X switch to enable full debug logging. [ERROR] [ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/PluginVersionResolutionException You have new mail in /var/spool/mail/root

mapreduce计算的数据导入mysql出错,导入到本地都ok,哪位路过的大佬能帮忙看下

![报错信息](https://img-ask.csdn.net/upload/201909/29/1569747157_413167.png) Driver代码如下 package com.sky.cmcc.offlineComputeMR; import com.sky.cmcc.pojo.MFee; import com.sky.cmcc.pojo.RFee; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.db.DBConfiguration; import org.apache.hadoop.mapreduce.lib.db.DBOutputFormat; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import java.io.IOException; /** * Classname CmccDriver * Date 2019/9/29 11:08 * Created by Teddys * Description 负责加载配置,启动MR,写入数据到mysql */ public class CmccDriver { // 定义msyql的四项 private static String DriverClass="com.mysql.jdbc.Driver"; private static String url="jdbc:mysql://localhost:3306/bot?characterEncoding=UTF-8"; private static String username="root"; private static String password="123456"; public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException { //1 加载配置文件和设定Job Configuration conf = new Configuration(); Job job = Job.getInstance(conf); //连接mysql DBConfiguration.configureDB(conf,DriverClass,url,username,password); //2 设置Job的加载路径 job.setJarByClass(CmccDriver.class); //3 指定job的mapper和reducer的类 job.setMapperClass(CmccMapper.class); job.setReducerClass(CmccReducer.class); //4 设置mqpper和最后的输出类型 job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(MFee.class); job.setOutputKeyClass(RFee.class); job.setOutputValueClass(NullWritable.class); //5 设置输入和输出的路径 FileInputFormat.setInputPaths(job,new Path(args[0])); //注意:输出路径为mysql DBOutputFormat.setOutput(job,"cmcc0513", "day","chargefee","shouldfee","orderCount","chargePayTime","chargeSuccessCount"); //6 提交任务,执行程序 boolean b = job.waitForCompletion(true); System.exit(b ? 0 : 1); System.out.println("b===="+b); } }

eclipse运行hadoop mapreduce程序如下错误

2017-09-06 15:48:42,677 INFO [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 2017-09-06 15:48:42,686 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1460)) - Starting flush of map output 2017-09-06 15:48:42,686 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1482)) - Spilling map output 2017-09-06 15:48:42,686 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1483)) - bufstart = 0; bufend = 108; bufvoid = 104857600 2017-09-06 15:48:42,686 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1485)) - kvstart = 26214396(104857584); kvend = 26214352(104857408); length = 45/6553600 2017-09-06 15:48:42,733 INFO [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:sortAndSpill(1667)) - Finished spill 0 2017-09-06 15:48:42,743 INFO [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:done(1038)) - Task:attempt_local1469942249_0001_m_000000_0 is done. And is in the process of committing 2017-09-06 15:48:42,751 INFO [Thread-19] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(456)) - map task executor complete. 2017-09-06 15:48:42,783 WARN [Thread-19] mapred.LocalJobRunner (LocalJobRunner.java:run(560)) - job_local1469942249_0001 java.lang.Exception: java.lang.NoSuchMethodError: org.apache.hadoop.yarn.util.ResourceCalculatorProcessTree.getRssMemorySize()J at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522) Caused by: java.lang.NoSuchMethodError: org.apache.hadoop.yarn.util.ResourceCalculatorProcessTree.getRssMemorySize()J at org.apache.hadoop.mapred.Task.updateResourceCounters(Task.java:872) at org.apache.hadoop.mapred.Task.updateCounters(Task.java:1021) at org.apache.hadoop.mapred.Task.done(Task.java:1040) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:345) at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 2017-09-06 15:48:43,333 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1360)) - Job job_local1469942249_0001 running in uber mode : false 2017-09-06 15:48:43,335 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1367)) - map 0% reduce 0% 2017-09-06 15:48:43,337 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1380)) - Job job_local1469942249_0001 failed with state FAILED due to: NA 2017-09-06 15:48:43,352 INFO [main] mapreduce.Job (Job.java:monitorAndPrintJob(1385)) - Counters: 10 Map-Reduce Framework Map input records=12 Map output records=12 Map output bytes=108 Map output materialized bytes=0 Input split bytes=104 Combine input records=0 Spilled Records=0 Failed Shuffles=0 Merged Map outputs=0 File Input Format Counters Bytes Read=132 Finished

hadoop eclipse插件报错no filesystem for scheme hdfs

环境:Eclipse Oxygen,java version "1.8.0 141",hadoop2.8.1 ,hadoop-eclipse-plugin.2.8.1 只有一个节点,本地运行模式 DFS location下总是报错 Error :no filesystem for scheme hdfs ![图片说明](https://img-ask.csdn.net/upload/201708/16/1502880258_839046.png): hadoop相关配置 hdfs-site.xml <configuration> <property> <name>dfs.replication</name> <value>1</value> </property> <!-- <property> <name>dfs.name.dir</name> <value>/home/hadoop/hadoopData/hdfsMetaData/</value> </property> <property> <name>dfs.data.dir</name> <value>/home/hadoop/hadoopData/hdfsData/</value> </property> --> </configuration> core-site.xml <configuration> <property> <name>fs.defaultFS</name> <value>hdfs://master:9000</value> </property> <property> <name>hadoop.tmp.dir</name> <value>/usr/local/hadoop/hadoop-2.8.1-src/hadoop-dist/target/hadoop-2.8.1/tmp/</value> </property> <property> <name>fs.hdfs.impl</name> <value>org.apache.hadoop.hdfs.DistributedFileSystem</value> <description>The FileSystem for hdfs: uris.</description> </property> </configuration> mapred-site.xml <configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.jobtracker.address</name> <value>master:9001</value> <description>jobtracker's address</description> </property> </configuration> 搞了两天了,换了eclipse mars、luna版本也不行。求助大神啊!

cdh hadoop mapreduce 运行时的问题:(有时候会出现,有时候不出现,急求大神帮助)

15/10/08 08:49:13 INFO mapreduce.Job: Job job_1419225162729_18465 running in uber mode : false 15/10/08 08:49:13 INFO mapreduce.Job: map 0% reduce 0% 15/10/08 08:49:13 INFO mapreduce.Job: Job job_1419225162729_18465 failed with state FAILED due to: Application application_1419225162729_18465 failed 1 times due to AM Container for appattempt_1419225162729_18465_000001 exited with exitCode: -1000 due to: java.io.IOException: Not able to initialize app-log directories in any of the configured local directories for app application_1419225162729_18465 at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.createAppLogDirs(DefaultContainerExecutor.java:459) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.startLocalizer(DefaultContainerExecutor.java:91) at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ResourceLocalizationService$LocalizerRunner.run(ResourceLocalizationService.java:861) .Failing this attempt.. Failing the application. 15/10/08 08:49:13 INFO mapreduce.Job: Counters: 0 Moved: 'hdfs://oiddhnode02:8020/user/nmger/worktemp/2015100408' to trash at: hdfs://oiddhnode02:8020/user/nmger/.Trash/Current

hadoop mapreduce 在编写好的程序下 运行程序出现错误,求错误所在

15/09/01 10:05:06 INFO mapred.JobClient: map 0% reduce 0% 15/09/01 10:05:22 INFO mapred.JobClient: Task Id : attempt_201509011003_0001_m_000002_0, Status : FAILED java.util.NoSuchElementException at java.util.StringTokenizer.nextToken(StringTokenizer.java:332) at com.hebut.mr.Score$Map.map(Score.java:37) at com.hebut.mr.Score$Map.map(Score.java:1) at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370) at org.apache.hadoop.mapred.Child$4.run(Child.java:255) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:396) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149) at org.apache.hadoop.mapred.Child.main(Child.java:249) 15/09/01 10:05:25 WARN mapred.JobClient: Error reading task outputSlave1.hadoop 15/09/01 10:05:25 WARN mapred.JobClient: Error reading task outputSlave1.hadoop 15/09/01 10:05:26 INFO mapred.JobClient: Task Id : attempt_201509011003_0001_m_000000_0, Status : FAILED java.util.NoSuchElementException at java.util.StringTokenizer.nextToken(StringTokenizer.java:332) at com.hebut.mr.Score$Map.map(Score.java:37) at com.hebut.mr.Score$Map.map(Score.java:1) at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370) at org.apache.hadoop.mapred.Child$4.run(Child.java:255) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:396) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149) at org.apache.hadoop.mapred.Child.main(Child.java:249)

运行mapredurce出现Method threw 'java.lang.IllegalStateException' exception. Cannot evaluate org.apache.hadoop.mapreduce.Job.toString()

执行下述代码后在,创建job后会有上述异常,但是可以执行到最后,但是job没有提交上去执行,在历史里也看不到有执行记录求帮助新手o(╥﹏╥)o。 package MapReducer; import com.sun.org.apache.bcel.internal.generic.RETURN; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.input.TextInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; import java.io.File; import java.io.IOException; import java.net.URI; import java.net.URISyntaxException; import java.util.StringTokenizer; /** * @Describe MapReducer第一个读取文档并计数 * @Author zhanglei * @Date 2019/11/18 22:53 **/ public class WordCountApp extends Configured implements Tool { public int run(String[] strings) throws Exception { String input_path="hdfs://192.168.91.130:8020/data/wc.txt"; String output_path="hdfs://192.168.91.130:8020/data/outputwc"; Configuration configuration = getConf(); final FileSystem fileSystem = FileSystem.get(new URI(input_path),configuration); if(fileSystem.exists(new Path(output_path))){ fileSystem.delete(new Path(output_path),true); } Job job = Job.getInstance(configuration,"WordCountApp"); job.setJarByClass(WordCountApp.class); job.setMapperClass(WordCountMapper.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); job.setReducerClass(WordCountReducer.class); job.setInputFormatClass(TextInputFormat.class); Path inpath = new Path(input_path); FileInputFormat.addInputPath(job,inpath); job.setOutputFormatClass(TextOutputFormat.class); Path outpath = new Path(output_path); FileOutputFormat.setOutputPath(job,outpath); return job.waitForCompletion(true) ? 0:1; } //继承 public static class WordCountMapper extends Mapper<Object,Text,Text,IntWritable>{ private final static IntWritable one= new IntWritable(1); private Text word = new Text(); public void map(Object key,Text value,Context context) throws IOException, InterruptedException { Text t = value; StringTokenizer itr = new StringTokenizer(value.toString()); while(itr.hasMoreTokens()){ word.set(itr.nextToken()); context.write(word,one); } } } public static class WordCountReducer extends Reducer<Object,Text,Text,IntWritable>{ private final static IntWritable res= new IntWritable(1); public void reduce(Text key,Iterable<IntWritable> values,Context context) throws IOException, InterruptedException { int sum = 0; for(IntWritable val:values){ sum+=val.get(); } res.set(sum); context.write(key,res); } } public static void main(String[] args) throws Exception { int exitCode = ToolRunner.run(new WordCountApp(), args); System.exit(exitCode); } }

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