hadoop wordcount报错192.168.79.172 to  :54895 拒绝连接 1C

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

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?

1个回答

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Instead use the hdfs command for it. 15/08/20 00:49:35 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Configured Capacity: 344033951744 (320.41 GB) Present Capacity: 342854029952 (319.31 GB) DFS Remaining: 342853630464 (319.31 GB) DFS Used: 399488 (390.13 KB) DFS Used%: 0.00% Under replicated blocks: 7 Blocks with corrupt replicas: 0 Missing blocks: 0 Missing blocks (with replication factor 1): 0 ------------------------------------------------- Live datanodes (1): Name: 192.168.77.28:50010 (slave1) Hostname: localhost Decommission Status : Normal Configured Capacity: 344033951744 (320.41 GB) DFS Used: 399488 (390.13 KB) Non DFS Used: 1179921792 (1.10 GB) DFS Remaining: 342853630464 (319.31 GB) DFS Used%: 0.00% DFS Remaining%: 99.66% Configured Cache Capacity: 0 (0 B) Cache Used: 0 (0 B) Cache Remaining: 0 (0 B) Cache Used%: 100.00% Cache Remaining%: 0.00% Xceivers: 1 Last contact: Thu Aug 20 00:49:36 UTC 2015 192.168.77.27(master)跑ResourceManager和NameNode,192.168.77.28(slave)跑DataNode和NodeManger,貌似hadoop把DataNode和NodeManger的hostname都认成localhost了,所以才找不到报错了。 同样的配置在centos一切正常,在solaris就报错 ![NodeManger信息](https://img-ask.csdn.net/upload/201508/20/1440038080_659898.png) ![DataNode信息](https://img-ask.csdn.net/upload/201508/20/1440038161_998191.png)
window eclipse 运行wordcount报错,请大侠指点
dows8当中eclipse运行wordcount程序报错 hadoop安装在vmware当中的centos当中 报错日志如下,请大侠指点 log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. Exception in thread "main" java.io.IOException: Failed on local exception: java.net.SocketException: Network is unreachable: no further information; Host Details : local host is: "hadoop/192.168.182.1"; destination host is: "0.0.0.192":8020; at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:772) at org.apache.hadoop.ipc.Client.call(Client.java:1472) at org.apache.hadoop.ipc.Client.call(Client.java:1399) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232) at com.sun.proxy.$Proxy9.getFileInfo(Unknown Source) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:752) 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:187) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) at com.sun.proxy.$Proxy10.getFileInfo(Unknown Source) at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1988) at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1118) at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1114) at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1114) at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1400) at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.checkOutputSpecs(FileOutputFormat.java:145) at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java:562) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:432) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1296) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1293) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628) at org.apache.hadoop.mapreduce.Job.submit(Job.java:1293) at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1314) at WordCount.main(WordCount.java:58) Caused by: java.net.SocketException: Network is unreachable: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:494) at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:607) at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:705) at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:368) at org.apache.hadoop.ipc.Client.getConnection(Client.java:1521) at org.apache.hadoop.ipc.Client.call(Client.java:1438) ... 28 more 在window能够ping通centos,在centos当中也能ping通windows,怎么会出现网络不可用,请大侠指点
新手,hadoop上运行wordcount程序报错
运行的环境是:Ubuntu14.04+hadoop2.6.1 用的是virtualBox虚拟机,然后安装了一个master和三个slave节点 hadoop是可以成功启动的,没有任何问题 在Ubuntu安装了eclipse,用java写了word count的程序,源码如下: ``` package wordcount; import java.io.IOException; import java.util.StringTokenizer; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; 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.output.FileOutputFormat; /** * @author * @version 创建时间:2017年9月9日 上午8:50:51 类说明 */ public class Wordcount { public static class TokenizerMapper extends Mapper<LongWritable, Text, Text, IntWritable> { private final static IntWritable one = new IntWritable(1); private Text word = new Text(); protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, IntWritable>.Context context) throws IOException, InterruptedException { StringTokenizer line = new StringTokenizer(value.toString()); while (line.hasMoreTokens()) { word.set(line.nextToken()); context.write(word, one); } } } public static class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> { private IntWritable result = new IntWritable(); protected void reduce(Text key, Iterable<IntWritable> values, Reducer<Text, IntWritable, Text, IntWritable>.Context context) throws IOException, InterruptedException { int sum = 0; for (IntWritable obj : values) { sum += obj.get(); } result.set(sum); context.write(key, result); } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); Job job = Job.getInstance(conf, "word count"); job.setJarByClass(Wordcount.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path("hdfs://master:9000/user/hduser/demo/test.txt")); FileOutputFormat.setOutputPath(job, new Path("hdfs://master:9000/user/hduser/demo/wordcount")); //FileInputFormat.addInputPath(job, new Path(args[0])); //FileOutputFormat.setOutputPath(job, new Path(args[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } } ``` 启动hadoop后,在eclipse中直接运行上面的程序,运行成功,生成了wordcount文件夹,里面有_SUCCESS文件,也有统计的结果文件 然后我想把程序打包成jar文件来运行,先把上面程序中的: ``` FileInputFormat.addInputPath(job, new Path("hdfs://master:9000/user/hduser/demo/test.txt")); FileOutputFormat.setOutputPath(job, new Path("hdfs://master:9000/user/hduser/demo/wordcount")); ``` 改成如下: ``` FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); ``` 就是通过终端输入这两个参数 用eclipse的export打包成jar文件,后在终端输入: ``` hadoop jar wordcount.jar wordcount.Wordcount hdfs://master:9000/user/hduser/demo/test.txt hdfs://master:9000/user/hduser/demo/wordcount ``` 运行就报错了,报错情况如下: ``` 17/09/09 11:18:53 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.56.100:8050 17/09/09 11:18:54 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. 17/09/09 11:18:55 INFO input.FileInputFormat: Total input paths to process : 1 17/09/09 11:18:55 INFO mapreduce.JobSubmitter: number of splits:1 17/09/09 11:18:55 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1504926710828_0001 17/09/09 11:18:56 INFO impl.YarnClientImpl: Submitted application application_1504926710828_0001 17/09/09 11:18:56 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1504926710828_0001/ 17/09/09 11:18:56 INFO mapreduce.Job: Running job: job_1504926710828_0001 17/09/09 11:19:14 INFO mapreduce.Job: Job job_1504926710828_0001 running in uber mode : false 17/09/09 11:19:14 INFO mapreduce.Job: map 0% reduce 0% 17/09/09 11:19:14 INFO mapreduce.Job: Job job_1504926710828_0001 failed with state FAILED due to: Application application_1504926710828_0001 failed 2 times due to AM Container for appattempt_1504926710828_0001_000002 exited with exitCode: 1 For more detailed output, check application tracking page:http://master:8088/proxy/application_1504926710828_0001/Then, click on links to logs of each attempt. Diagnostics: Exception from container-launch. Container id: container_1504926710828_0001_02_000001 Exit code: 1 Stack trace: ExitCodeException exitCode=1: at org.apache.hadoop.util.Shell.runCommand(Shell.java:538) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1152) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:622) at java.lang.Thread.run(Thread.java:748) Container exited with a non-zero exit code 1 Failing this attempt. Failing the application. 17/09/09 11:19:14 INFO mapreduce.Job: Counters: 0 ``` 去查了下日志文件, ``` 2017-09-09 11:18:55,869 INFO org.apache.hadoop.hdfs.StateChange: DIR* completeFile: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job.xml is closed by DFSClient_NONMAPREDUCE_-1306163227_1 2017-09-09 11:18:59,502 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30000 milliseconds 2017-09-09 11:18:59,503 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 1 millisecond(s). 2017-09-09 11:19:12,241 INFO org.apache.hadoop.ipc.Server: IPC Server handler 2 on 9000, call org.apache.hadoop.hdfs.protocol.ClientProtocol.getBlockLocations from 192.168.56.102:53610 Call#7 Retry#0: java.io.FileNotFoundException: File does not exist: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job_1504926710828_0001_1.jhist 2017-09-09 11:19:12,293 INFO org.apache.hadoop.ipc.Server: IPC Server handler 4 on 9000, call org.apache.hadoop.hdfs.protocol.ClientProtocol.getBlockLocations from 192.168.56.102:53610 Call#8 Retry#0: java.io.FileNotFoundException: File does not exist: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job_1504926710828_0001_1.jhist 2017-09-09 11:19:29,502 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30000 milliseconds 2017-09-09 11:19:29,502 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 0 millisecond(s). 2017-09-09 11:19:42,634 INFO org.apache.hadoop.hdfs.server.namenode.FSNamesystem: Roll Edit Log from 192.168.56.100 2017-09-09 11:19:42,634 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Rolling edit logs 2017-09-09 11:19:42,634 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Ending log segment 29 2017-09-09 11:19:42,635 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 40 Total time for transactions(ms): 6 Number of transactions batched in Syncs: 0 Number of syncs: 27 SyncTimes(ms): 545 2017-09-09 11:19:42,704 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 40 Total time for transactions(ms): 6 Number of transactions batched in Syncs: 0 Number of syncs: 28 SyncTimes(ms): 613 2017-09-09 11:19:42,704 INFO org.apache.hadoop.hdfs.server.namenode.FileJournalManager: Finalizing edits file /usr/local/hadoop/hadoop_data/hdfs/namenode/current/edits_inprogress_0000000000000000029 -> /usr/local/hadoop/hadoop_data/hdfs/namenode/current/edits_0000000000000000029-0000000000000000068 2017-09-09 11:19:42,704 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Starting log segment at 69 2017-09-09 11:19:59,503 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30001 milliseconds 2017-09-09 11:19:59,503 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 0 millisecond(s). 2017-09-09 11:20:29,504 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30001 milliseconds 2017-09-09 11:20:29,504 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 0 millisecond(s). 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSNamesystem: Roll Edit Log from 192.168.56.100 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Rolling edit logs 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Ending log segment 69 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 2 Total time for transactions(ms): 0 Number of transactions batched in Syncs: 0 Number of syncs: 2 SyncTimes(ms): 24 2017-09-09 11:20:42,791 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 2 Total time for transactions(ms): 0 Number of transactions batched in Syncs: 0 Number of syncs: 3 SyncTimes(ms): 56 ``` 在这里面报了一个错误: ``` java.io.FileNotFoundException: File does not exist: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job_1504926710828_0001_1.jhist ``` 新手,不知道怎么办了
hadoop2的Wordcount测试出错,急!!!
[hadoop@dsp16 hadoop-2.6.0]$ bin/hadoop jar /home/hadoop/hadoop-2.6.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount /input/ /output/ 16/02/09 03:26:57 INFO impl.TimelineClientImpl: Timeline service address: http://dsp16:8188/ws/v1/timeline/ 16/02/09 03:26:58 INFO input.FileInputFormat: Total input paths to process : 1 16/02/09 03:26:58 INFO mapreduce.JobSubmitter: number of splits:1 16/02/09 03:26:59 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1454948804760_0002 16/02/09 03:26:59 INFO impl.YarnClientImpl: Submitted application application_1454948804760_0002 16/02/09 03:26:59 INFO mapreduce.Job: The url to track the job: http://dsp16:8088/proxy/application_1454948804760_0002/ 16/02/09 03:26:59 INFO mapreduce.Job: Running job: job_1454948804760_0002 yarn日志: 2016-02-08 17:36:54,055 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: dsp18/192.168.0.120:38540. Already tried 8 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-02-08 17:36:55,056 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: dsp18/192.168.0.120:38540. Already tried 9 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-02-08 17:36:55,057 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Error cleaning master java.net.ConnectException: Call From dsp16/192.168.0.118 to dsp18:38540 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) 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.net.NetUtils.wrapWithMessage(NetUtils.java:791) at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:731) at org.apache.hadoop.ipc.Client.call(Client.java:1472) at org.apache.hadoop.ipc.Client.call(Client.java:1399) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232) at com.sun.proxy.$Proxy35.stopContainers(Unknown Source) at org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagementProtocolPBClientImpl.stopContainers(ContainerManagementProtocolPBClientImpl.java:110) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.cleanup(AMLauncher.java:139) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:268) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.net.ConnectException: Connection refused at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:494) at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:607) at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:705) at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:368) at org.apache.hadoop.ipc.Client.getConnection(Client.java:1521) at org.apache.hadoop.ipc.Client.call(Client.java:1438) ... 9 more 2016-02-09 03:26:58,138 INFO org.apache.hadoop.yarn.server.resourcemanager.ClientRMService: Allocated new applicationId: 2
hdfs无法进行词频统计
# hadoop集群,hdfs无法进行词频统计 ## 执行语句: hadoop jar hadoop-mapreduce-examples-2.7.4.jar wordcount \ > /wordcount/input /wordcount/output ``` ``` ## ResourceManager已经启动 [root@hadoop01 mapreduce]# jps 2977 NodeManager 2597 DataNode 3557 Jps 2873 ResourceManager 2494 NameNode ``` ``` ## 防火墙已关闭 [root@hadoop01 mapreduce]# service iptables stop [root@hadoop01 mapreduce]# ``` ``` 错误提示: INFO client.RMProxy: Connecting to ResourceManager at hadoop01/192.168.131.131:8032 org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory hdfs://hadoop01:9000/wordcount/output already exists at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.checkOutputSpecs(FileOutputFormat.java:146) at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java:266) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:139) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1746) at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287) at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1308) at org.apache.hadoop.examples.WordCount.main(WordCount.java:87) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71) at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144) at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74) 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) ``` ```
hadoop中wordcount使用IKsegmenter分词器后本地编译运行通过,打成jar包后报IKsegmenter类无法找到
使用eclipse在本地上编译运行的时候没有问题,output能够获得正常结果。 但是使用hadoop运行时就会报错,之前没有使用过ecipse,在网上找了半天,export里面的选项来回试了一下也没成功..以下是报错信息: ``` 19/11/19 20:57:39 INFO client.RMProxy: Connecting to ResourceManager at bigdata-senior01.chybinmy.com/192.168.100.10:8032 19/11/19 20:57:40 INFO input.FileInputFormat: Total input files to process : 1 19/11/19 20:57:40 INFO mapreduce.JobSubmitter: number of splits:1 19/11/19 20:57:41 INFO Configuration.deprecation: yarn.resourcemanager.system-metrics-publisher.enabled is deprecated. Instead, use yarn.system-metrics-publisher.enabled 19/11/19 20:57:41 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1574165004078_0005 19/11/19 20:57:41 INFO conf.Configuration: resource-types.xml not found 19/11/19 20:57:41 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'. 19/11/19 20:57:41 INFO resource.ResourceUtils: Adding resource type - name = memory-mb, units = Mi, type = COUNTABLE 19/11/19 20:57:41 INFO resource.ResourceUtils: Adding resource type - name = vcores, units = , type = COUNTABLE 19/11/19 20:57:42 INFO impl.YarnClientImpl: Submitted application application_1574165004078_0005 19/11/19 20:57:42 INFO mapreduce.Job: The url to track the job: http://bigdata-senior01.chybinmy.com:8088/proxy/application_1574165004078_0005/ 19/11/19 20:57:42 INFO mapreduce.Job: Running job: job_1574165004078_0005 19/11/19 20:57:49 INFO mapreduce.Job: Job job_1574165004078_0005 running in uber mode : false 19/11/19 20:57:49 INFO mapreduce.Job: map 0% reduce 0% 19/11/19 20:57:53 INFO mapreduce.Job: Task Id : attempt_1574165004078_0005_m_000000_0, Status : FAILED Error: java.lang.ClassNotFoundException: org.wltea.analyzer.core.IKSegmenter at java.net.URLClassLoader$1.run(URLClassLoader.java:366) at java.net.URLClassLoader$1.run(URLClassLoader.java:355) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:354) at java.lang.ClassLoader.loadClass(ClassLoader.java:425) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) at java.lang.ClassLoader.loadClass(ClassLoader.java:358) at com.example.test.ChineseWordCount$TokenizerMapper.map(ChineseWordCount.java:36) at com.example.test.ChineseWordCount$TokenizerMapper.map(ChineseWordCount.java:1) at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:793) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:177) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1893) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:171) 19/11/19 20:57:58 INFO mapreduce.Job: Task Id : attempt_1574165004078_0005_m_000000_1, Status : FAILED Error: java.lang.ClassNotFoundException: org.wltea.analyzer.core.IKSegmenter at java.net.URLClassLoader$1.run(URLClassLoader.java:366) at java.net.URLClassLoader$1.run(URLClassLoader.java:355) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:354) at java.lang.ClassLoader.loadClass(ClassLoader.java:425) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) at java.lang.ClassLoader.loadClass(ClassLoader.java:358) at com.example.test.ChineseWordCount$TokenizerMapper.map(ChineseWordCount.java:36) at com.example.test.ChineseWordCount$TokenizerMapper.map(ChineseWordCount.java:1) at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:793) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:177) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1893) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:171) 19/11/19 20:58:03 INFO mapreduce.Job: Task Id : attempt_1574165004078_0005_m_000000_2, Status : FAILED Error: java.lang.ClassNotFoundException: org.wltea.analyzer.core.IKSegmenter at java.net.URLClassLoader$1.run(URLClassLoader.java:366) at java.net.URLClassLoader$1.run(URLClassLoader.java:355) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:354) at java.lang.ClassLoader.loadClass(ClassLoader.java:425) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) at java.lang.ClassLoader.loadClass(ClassLoader.java:358) at com.example.test.ChineseWordCount$TokenizerMapper.map(ChineseWordCount.java:36) at com.example.test.ChineseWordCount$TokenizerMapper.map(ChineseWordCount.java:1) at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:793) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:177) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1893) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:171) 19/11/19 20:58:11 INFO mapreduce.Job: map 100% reduce 100% 19/11/19 20:58:12 INFO mapreduce.Job: Job job_1574165004078_0005 failed with state FAILED due to: Task failed task_1574165004078_0005_m_000000 Job failed as tasks failed. failedMaps:1 failedReduces:0 19/11/19 20:58:12 INFO mapreduce.Job: Counters: 13 Job Counters Failed map tasks=4 Killed reduce tasks=1 Launched map tasks=4 Other local map tasks=3 Data-local map tasks=1 Total time spent by all maps in occupied slots (ms)=12897 Total time spent by all reduces in occupied slots (ms)=0 Total time spent by all map tasks (ms)=12897 Total vcore-milliseconds taken by all map tasks=12897 Total megabyte-milliseconds taken by all map tasks=13206528 Map-Reduce Framework CPU time spent (ms)=0 Physical memory (bytes) snapshot=0 Virtual memory (bytes) snapshot=0 [hadoop@bigdata-senior01 hadoop-2.10.0]$ bin/hdfs dfs -ls / Found 4 items drwxr-xr-x - hadoop supergroup 0 2019-11-19 20:13 /input drwxr-xr-x - hadoop supergroup 0 2019-11-19 20:54 /output drwxr-xr-x - hadoop supergroup 0 2019-11-19 20:58 /output2 drwx------ - hadoop supergroup 0 2019-11-19 20:16 /tmp ```
hadoop2.5.1在win7下开发报通信错误
集群环境是centos6.2,2master,4slave。 在集群上跑example.jar测试通过,管理页面显示所有节点正常。jps显示正常。 但在win7下建立用eclipse安装csdn下载的插件显示update错误,不过可以连接上hadoop集群,正常显示hdfs。 使用example里面的wordcount.java,照博客 http://www.cnblogs.com/huligong1234/p/4137133.html 的方法运行后显示可以连接上master但不能连接slave: WARN - Failed to connect to /192.168.11.94:50010 for block, add to deadNodes and continue. java.net.ConnectException: Connection timed out: no further information java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)。。。 4个slave都显示通信超时。不知道有人知道是怎么回事吗??
测试spark集群入门级wordcount出错,求大神们帮忙解决啊
* Created by jyq on 10/14/15. */ 就这么点源代码 import org.apache.spark.{SparkConf,SparkContext,SparkFiles} object WordCount { def main(args: Array[String]):Unit= { val conf =new SparkConf().setAppName("WordCount").setMaster("spark://master:7077") val sc = new SparkContext(conf) sc.addFile("file:///home/jyq/Desktop/1.txt") val textRDD=sc.textFile(SparkFiles.get("file:///home/jyq/Desktop/1.txt")) val result = textRDD.flatMap(line =>line.split("\\s+") ).map(word=> (word, 1)).reduceByKey(_ + _) result.saveAsTextFile("/home/jyq/Desktop/2.txt") println("hello world") } } 在IDEA编译运行下输出的日志: Exception in thread "main" java.lang.IllegalArgumentException: java.net.URISyntaxException: Expected scheme-specific part at index 5: file: at org.apache.hadoop.fs.Path.initialize(Path.java:206) at org.apache.hadoop.fs.Path.<init>(Path.java:172) at org.apache.hadoop.fs.Path.<init>(Path.java:94) at org.apache.hadoop.fs.Globber.glob(Globber.java:211) at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1644) at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:257) at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228) at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313) at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:207) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) at org.apache.spark.Partitioner$.defaultPartitioner(Partitioner.scala:65) at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:290) at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:290) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.rdd.RDD.withScope(RDD.scala:306) at org.apache.spark.rdd.PairRDDFunctions.reduceByKey(PairRDDFunctions.scala:289) at WordCount$.main(WordCount.scala:16) at WordCount.main(WordCount.scala) 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:497) at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140) Caused by: java.net.URISyntaxException: Expected scheme-specific part at index 5: file: at java.net.URI$Parser.fail(URI.java:2848) at java.net.URI$Parser.failExpecting(URI.java:2854) at java.net.URI$Parser.parse(URI.java:3057) at java.net.URI.<init>(URI.java:746) at org.apache.hadoop.fs.Path.initialize(Path.java:203) ... 41 more 15/10/15 20:08:36 INFO SparkContext: Invoking stop() from shutdown hook 15/10/15 20:08:36 INFO SparkUI: Stopped Spark web UI at http://192.168.179.111:4040 15/10/15 20:08:36 INFO DAGScheduler: Stopping DAGScheduler 15/10/15 20:08:36 INFO SparkDeploySchedulerBackend: Shutting down all executors 15/10/15 20:08:36 INFO SparkDeploySchedulerBackend: Asking each executor to shut down 15/10/15 20:08:36 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 15/10/15 20:08:36 INFO MemoryStore: MemoryStore cleared 15/10/15 20:08:36 INFO BlockManager: BlockManager stopped 15/10/15 20:08:36 INFO BlockManagerMaster: BlockManagerMaster stopped 15/10/15 20:08:36 INFO SparkContext: Successfully stopped SparkContext 15/10/15 20:08:36 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 15/10/15 20:08:36 INFO ShutdownHookManager: Shutdown hook called 15/10/15 20:08:36 INFO ShutdownHookManager: Deleting directory /tmp/spark-d7ca48d5-4e31-4a07-9264-8d7f5e8e1032 15/10/15 20:08:36 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon. Process finished with exit code 1
map 和 reduce0%就失败了,能帮我看看是什么原因吗?
17/06/13 15:30:29 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.1.100:8032 17/06/13 15:30:29 INFO input.FileInputFormat: Total input paths to process : 1 17/06/13 15:30:29 INFO mapreduce.JobSubmitter: number of splits:1 17/06/13 15:30:30 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1497335254625_0003 17/06/13 15:30:30 INFO impl.YarnClientImpl: Submitted application application_1497335254625_0003 17/06/13 15:30:30 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1497335254625_0003/ 17/06/13 15:30:30 INFO mapreduce.Job: Running job: job_1497335254625_0003 17/06/13 15:30:34 INFO mapreduce.Job: Job job_1497335254625_0003 running in uber mode : false 17/06/13 15:30:34 INFO mapreduce.Job: map 0% reduce 0% 17/06/13 15:30:39 INFO mapreduce.Job: Task Id : attempt_1497335254625_0003_m_000000_0, Status : FAILED Exception from container-launch. Container id: container_1497335254625_0003_01_000002 Exit code: 1 Exception message: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData /nm-local-dir/usercache/hadoop/appcache/application_1497335254625_0003/container_1497335254625_0003_01_000002/default_container_executor_session.sh: 行 3: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData: 是一个目录 /bin/mv: 目标"/nm-local-dir/nmPrivate/application_1497335254625_0003/container_1497335254625_0003_01_000002/container_1497335254625_0003_01_000002.pid" 不是目录 Stack trace: ExitCodeException exitCode=1: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData /nm-local-dir/usercache/hadoop/appcache/application_1497335254625_0003/container_1497335254625_0003_01_000002/default_container_executor_session.sh: 行 3: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData: 是一个目录 /bin/mv: 目标"/nm-local-dir/nmPrivate/application_1497335254625_0003/container_1497335254625_0003_01_000002/container_1497335254625_0003_01_000002.pid" 不是目录 at org.apache.hadoop.util.Shell.runCommand(Shell.java:538) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Container exited with a non-zero exit code 1 17/06/13 15:30:45 INFO mapreduce.Job: Task Id : attempt_1497335254625_0003_m_000000_1, Status : FAILED Exception from container-launch. Container id: container_1497335254625_0003_01_000003 Exit code: 1 Exception message: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData /nm-local-dir/usercache/hadoop/appcache/application_1497335254625_0003/container_1497335254625_0003_01_000003/default_container_executor_session.sh: 行 3: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData: 是一个目录 /bin/mv: 目标"/nm-local-dir/nmPrivate/application_1497335254625_0003/container_1497335254625_0003_01_000003/container_1497335254625_0003_01_000003.pid" 不是目录 Stack trace: ExitCodeException exitCode=1: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData /nm-local-dir/usercache/hadoop/appcache/application_1497335254625_0003/container_1497335254625_0003_01_000003/default_container_executor_session.sh: 行 3: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData: 是一个目录 /bin/mv: 目标"/nm-local-dir/nmPrivate/application_1497335254625_0003/container_1497335254625_0003_01_000003/container_1497335254625_0003_01_000003.pid" 不是目录 at org.apache.hadoop.util.Shell.runCommand(Shell.java:538) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Container exited with a non-zero exit code 1 17/06/13 15:30:51 INFO mapreduce.Job: Task Id : attempt_1497335254625_0003_m_000000_2, Status : FAILED Exception from container-launch. Container id: container_1497335254625_0003_01_000004 Exit code: 1 Exception message: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData /nm-local-dir/usercache/hadoop/appcache/application_1497335254625_0003/container_1497335254625_0003_01_000004/default_container_executor_session.sh: 行 3: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData: 是一个目录 /bin/mv: 目标"/nm-local-dir/nmPrivate/application_1497335254625_0003/container_1497335254625_0003_01_000004/container_1497335254625_0003_01_000004.pid" 不是目录 Stack trace: ExitCodeException exitCode=1: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData /nm-local-dir/usercache/hadoop/appcache/application_1497335254625_0003/container_1497335254625_0003_01_000004/default_container_executor_session.sh: 行 3: /usr/hadoop/hadoop-2.6.0/tmp/hadoopData: 是一个目录 /bin/mv: 目标"/nm-local-dir/nmPrivate/application_1497335254625_0003/container_1497335254625_0003_01_000004/container_1497335254625_0003_01_000004.pid" 不是目录 at org.apache.hadoop.util.Shell.runCommand(Shell.java:538) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Container exited with a non-zero exit code 1 17/06/13 15:30:57 INFO mapreduce.Job: map 100% reduce 100% 17/06/13 15:30:57 INFO mapreduce.Job: Job job_1497335254625_0003 failed with state FAILED due to: Task failed task_1497335254625_0003_m_000000 Job failed as tasks failed. failedMaps:1 failedReduces:0 17/06/13 15:30:57 INFO mapreduce.Job: Counters: 12 Job Counters Failed map tasks=4 Launched map tasks=4 Other local map tasks=3 Data-local map tasks=1 Total time spent by all maps in occupied slots (ms)=14994 Total time spent by all reduces in occupied slots (ms)=0 Total time spent by all map tasks (ms)=14994 Total vcore-seconds taken by all map tasks=14994 Total megabyte-seconds taken by all map tasks=15353856 Map-Reduce Framework CPU time spent (ms)=0 Physical memory (bytes) snapshot=0 Virtual memory (bytes) snapshot=0 hadoop@master:/usr/hadoop/hadoop-2.6.0$
spark在yarn集群上执行client模式代码
spark的wordcount提交到yarn集群上运行时,出现以下报错:请问有大神知道如何解决吗? ``` [hadoop00@hadoop02 ~]$ ./spark-submit-wordcount-yarn-client.sh //下面是执行过程: 19/07/31 17:12:36 INFO ui.SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.2.102:4040 19/07/31 17:12:36 INFO spark.SparkContext: Added JAR file:/home/hadoop00/spark-core-1.0-SNAPSHOT-jar-with-dependencies.jar at spark://192.168.2.102:43723/jars/spark-core-1.0-SNAPSHOT-jar-with-dependencies.jar with timestamp 1564564356841 19/07/31 17:12:40 INFO yarn.Client: Requesting a new application from cluster with 0 NodeManagers 19/07/31 17:12:41 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container) 19/07/31 17:12:41 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead 19/07/31 17:12:41 INFO yarn.Client: Setting up container launch context for our AM 19/07/31 17:12:41 INFO yarn.Client: Setting up the launch environment for our AM container 19/07/31 17:12:41 INFO yarn.Client: Preparing resources for our AM container 19/07/31 17:12:45 WARN yarn.Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME. 19/07/31 17:12:53 INFO yarn.Client: Uploading resource file:/tmp/spark-59635080-0711-4817-9e3b-b25f528cbbbe/__spark_libs__5797595590401639249.zip -> hdfs://myha01/user/hadoop00/.sparkStaging/application_1564523762236_0001/__spark_libs__5797595590401639249.zip 19/07/31 17:13:07 INFO yarn.Client: Uploading resource file:/tmp/spark-59635080-0711-4817-9e3b-b25f528cbbbe/__spark_conf__627970737981952935.zip -> hdfs://myha01/user/hadoop00/.sparkStaging/application_1564523762236_0001/__spark_conf__.zip 19/07/31 17:13:07 INFO spark.SecurityManager: Changing view acls to: hadoop00 19/07/31 17:13:07 INFO spark.SecurityManager: Changing modify acls to: hadoop00 19/07/31 17:13:07 INFO spark.SecurityManager: Changing view acls groups to: 19/07/31 17:13:07 INFO spark.SecurityManager: Changing modify acls groups to: 19/07/31 17:13:07 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop00); groups with view permissions: Set(); users with modify permissions: Set(hadoop00); groups with modify permissions: Set() 19/07/31 17:13:07 INFO yarn.Client: Submitting application application_1564523762236_0001 to ResourceManager 19/07/31 17:13:08 INFO impl.YarnClientImpl: Submitted application application_1564523762236_0001 19/07/31 17:13:08 INFO cluster.SchedulerExtensionServices: Starting Yarn extension services with app application_1564523762236_0001 and attemptId None 19/07/31 17:13:09 INFO yarn.Client: Application report for application_1564523762236_0001 (state: ACCEPTED) 19/07/31 17:13:09 INFO yarn.Client: client token: N/A diagnostics: N/A ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1564523805324 final status: UNDEFINED tracking URL: http://hadoop03:8088/proxy/application_1564523762236_0001/ user: hadoop00 19/07/31 17:13:10 INFO yarn.Client: Application report for application_1564523762236_0001 (state: FAILED) 19/07/31 17:13:10 INFO yarn.Client: client token: N/A diagnostics: Application application_1564523762236_0001 failed 2 times due to Error launching appattempt_1564523762236_0001_000002. Got exception: org.apache.hadoop.yarn.exceptions.YarnException: Unauthorized request to start container. This token is expired. current time is 1564564389887 found 1564524406596 Note: System times on machines may be out of sync. Check system time and time zones. 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:422) at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:168) at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:106) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:123) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:250) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) . Failing the application. ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1564523805324 final status: FAILED tracking URL: http://hadoop03:8088/cluster/app/application_1564523762236_0001 user: hadoop00 19/07/31 17:13:10 INFO yarn.Client: Deleted staging directory hdfs://myha01/user/hadoop00/.sparkStaging/application_1564523762236_0001 19/07/31 17:13:10 ERROR spark.SparkContext: Error initializing SparkContext. org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master. at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:85) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:173) at org.apache.spark.SparkContext.<init>(SparkContext.scala:509) at p2._01ScalaWordCountRemoteOps$.main(_01ScalaWordCountRemoteOps.scala:21) at p2._01ScalaWordCountRemoteOps.main(_01ScalaWordCountRemoteOps.scala) 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:497) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 19/07/31 17:13:10 INFO server.AbstractConnector: Stopped Spark@6f2bafef{HTTP/1.1,[http/1.1]}{0.0.0.0:4040} 19/07/31 17:13:10 INFO ui.SparkUI: Stopped Spark web UI at http://192.168.2.102:4040 19/07/31 17:13:10 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Attempted to request executors before the AM has registered! 19/07/31 17:13:10 INFO cluster.YarnClientSchedulerBackend: Shutting down all executors 19/07/31 17:13:10 INFO cluster.YarnSchedulerBackend$YarnDriverEndpoint: Asking each executor to shut down 19/07/31 17:13:10 INFO cluster.SchedulerExtensionServices: Stopping SchedulerExtensionServices (serviceOption=None, services=List(), started=false) 19/07/31 17:13:10 INFO cluster.YarnClientSchedulerBackend: Stopped 19/07/31 17:13:10 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 19/07/31 17:13:10 INFO memory.MemoryStore: MemoryStore cleared 19/07/31 17:13:10 INFO storage.BlockManager: BlockManager stopped 19/07/31 17:13:10 INFO storage.BlockManagerMaster: BlockManagerMaster stopped 19/07/31 17:13:10 WARN metrics.MetricsSystem: Stopping a MetricsSystem that is not running 19/07/31 17:13:10 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 19/07/31 17:13:10 INFO spark.SparkContext: Successfully stopped SparkContext Exception in thread "main" org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master. at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:85) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:62) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:173) at org.apache.spark.SparkContext.<init>(SparkContext.scala:509) at p2._01ScalaWordCountRemoteOps$.main(_01ScalaWordCountRemoteOps.scala:21) at p2._01ScalaWordCountRemoteOps.main(_01ScalaWordCountRemoteOps.scala) 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:497) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 19/07/31 17:13:10 INFO util.ShutdownHookManager: Shutdown hook called 19/07/31 17:13:10 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-59635080-0711-4817-9e3b-b25f528cbbbe ```
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