2016-05-12 103 views
1

我正在使用hadoop 2.5.2.I我是hadoop和map reduce的新手。我尝试使用map reduce代码来执行情感分析。但是当我执行代码时,很多日志消息是由控制台上的hadoop生成的。这就是为每个句子给出分析结果花费大量时间的原因。以下是该日志消息....如何在控制台上抑制由hadoop生成的日志消息

2016-05-12 23:03:05,396 INFO jvm.JvmMetrics (JvmMetrics.java:init(71)) - Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized 
2016-05-12 23:03:05,397 INFO jvm.JvmMetrics (JvmMetrics.java:init(71)) - Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized 
2016-05-12 23:03:05,400 WARN mapreduce.JobSubmitter (JobSubmitter.java:copyAndConfigureFiles(150)) - Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. 
2016-05-12 23:03:05,403 WARN mapreduce.JobSubmitter (JobSubmitter.java:copyAndConfigureFiles(259)) - No job jar file set. User classes may not be found. See Job or Job#setJar(String). 
2016-05-12 23:03:05,412 INFO mapred.FileInputFormat (FileInputFormat.java:listStatus(247)) - Total input paths to process : 3 
2016-05-12 23:03:05,421 INFO mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(396)) - number of splits:3 
2016-05-12 23:03:05,430 INFO mapreduce.JobSubmitter (JobSubmitter.java:printTokens(479)) - Submitting tokens for job: job_local1427897879_0120 
2016-05-12 23:03:05,444 WARN conf.Configuration (Configuration.java:loadProperty(2368)) - file:/home/hduser/workspace/Test1/build/test/mapred/staging/hduser1427897879/.staging/job_local1427897879_0120/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring. 
2016-05-12 23:03:05,445 WARN conf.Configuration (Configuration.java:loadProperty(2368)) - file:/home/hduser/workspace/Test1/build/test/mapred/staging/hduser1427897879/.staging/job_local1427897879_0120/job.xml:an attempt to override final parameter: hadoop.tmp.dir; Ignoring. 
2016-05-12 23:03:05,445 WARN conf.Configuration (Configuration.java:loadProperty(2368)) - file:/home/hduser/workspace/Test1/build/test/mapred/staging/hduser1427897879/.staging/job_local1427897879_0120/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring. 
2016-05-12 23:03:05,482 WARN conf.Configuration (Configuration.java:loadProperty(2368)) - file:/home/hduser/workspace/Test1/build/test/mapred/local/localRunner/hduser/job_local1427897879_0120/job_local1427897879_0120.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval; Ignoring. 
2016-05-12 23:03:05,482 WARN conf.Configuration (Configuration.java:loadProperty(2368)) - file:/home/hduser/workspace/Test1/build/test/mapred/local/localRunner/hduser/job_local1427897879_0120/job_local1427897879_0120.xml:an attempt to override final parameter: hadoop.tmp.dir; Ignoring. 
2016-05-12 23:03:05,483 WARN conf.Configuration (Configuration.java:loadProperty(2368)) - file:/home/hduser/workspace/Test1/build/test/mapred/local/localRunner/hduser/job_local1427897879_0120/job_local1427897879_0120.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts; Ignoring. 
2016-05-12 23:03:05,483 INFO mapreduce.Job (Job.java:submit(1289)) - The url to track the job: http://localhost:8080/ 
2016-05-12 23:03:05,483 INFO mapreduce.Job (Job.java:monitorAndPrintJob(1334)) - Running job: job_local1427897879_0120 
2016-05-12 23:03:05,483 INFO mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(471)) - OutputCommitter set in config null 
2016-05-12 23:03:05,484 INFO mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(489)) - OutputCommitter is org.apache.hadoop.mapred.FileOutputCommitter 
2016-05-12 23:03:05,485 INFO mapred.LocalJobRunner (LocalJobRunner.java:runTasks(448)) - Waiting for map tasks 
2016-05-12 23:03:05,485 INFO mapred.LocalJobRunner (LocalJobRunner.java:run(224)) - Starting task: attempt_local1427897879_0120_m_000000_0 
2016-05-12 23:03:05,486 INFO mapred.Task (Task.java:initialize(587)) - Using ResourceCalculatorProcessTree : [ ] 
2016-05-12 23:03:05,486 INFO mapred.MapTask (MapTask.java:updateJobWithSplit(462)) - Processing split: file:/home/hduser/workspace/Test1/training/pool.txt:0+17961 
2016-05-12 23:03:05,487 INFO mapred.MapTask (MapTask.java:runOldMapper(416)) - numReduceTasks: 1 
2016-05-12 23:03:05,487 INFO mapred.MapTask (MapTask.java:createSortingCollector(388)) - Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
2016-05-12 23:03:05,513 INFO mapred.MapTask (MapTask.java:setEquator(1182)) - (EQUATOR) 0 kvi 26214396(104857584) 
2016-05-12 23:03:05,513 INFO mapred.MapTask (MapTask.java:init(975)) - mapreduce.task.io.sort.mb: 100 
2016-05-12 23:03:05,514 INFO mapred.MapTask (MapTask.java:init(976)) - soft limit at 83886080 
2016-05-12 23:03:05,514 INFO mapred.MapTask (MapTask.java:init(977)) - bufstart = 0; bufvoid = 104857600 
2016-05-12 23:03:05,514 INFO mapred.MapTask (MapTask.java:init(978)) - kvstart = 26214396; length = 6553600 
2016-05-12 23:03:05,516 INFO mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 
2016-05-12 23:03:05,516 INFO mapred.MapTask (MapTask.java:flush(1437)) - Starting flush of map output 
2016-05-12 23:03:05,516 INFO mapred.MapTask (MapTask.java:flush(1455)) - Spilling map output 
2016-05-12 23:03:05,516 INFO mapred.MapTask (MapTask.java:flush(1456)) - bufstart = 0; bufend = 17961; bufvoid = 104857600 
2016-05-12 23:03:05,516 INFO mapred.MapTask (MapTask.java:flush(1458)) - kvstart = 26214396(104857584); kvend = 26211024(104844096); length = 3373/6553600 
2016-05-12 23:03:05,523 INFO mapred.MapTask (MapTask.java:sortAndSpill(1641)) - Finished spill 0 
2016-05-12 23:03:05,524 INFO mapred.Task (Task.java:done(1001)) - Task:attempt_local1427897879_0120_m_000000_0 is done. And is in the process of committing 
2016-05-12 23:03:05,525 INFO mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - file:/home/hduser/workspace/Test1/training/pool.txt:0+17961 
2016-05-12 23:03:05,525 INFO mapred.Task (Task.java:sendDone(1121)) - Task 'attempt_local1427897879_0120_m_000000_0' done. 
2016-05-12 23:03:05,525 INFO mapred.LocalJobRunner (LocalJobRunner.java:run(249)) - Finishing task: attempt_local1427897879_0120_m_000000_0 
2016-05-12 23:03:05,525 INFO mapred.LocalJobRunner (LocalJobRunner.java:run(224)) - Starting task: attempt_local1427897879_0120_m_000001_0 
2016-05-12 23:03:05,525 INFO mapred.Task (Task.java:initialize(587)) - Using ResourceCalculatorProcessTree : [ ] 
2016-05-12 23:03:05,526 INFO mapred.MapTask (MapTask.java:updateJobWithSplit(462)) - Processing split: file:/home/hduser/workspace/Test1/training/pool.txt~:0+17939 
2016-05-12 23:03:05,526 INFO mapred.MapTask (MapTask.java:runOldMapper(416)) - numReduceTasks: 1 
2016-05-12 23:03:05,527 INFO mapred.MapTask (MapTask.java:createSortingCollector(388)) - Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
2016-05-12 23:03:05,550 INFO mapred.MapTask (MapTask.java:setEquator(1182)) - (EQUATOR) 0 kvi 26214396(104857584) 
2016-05-12 23:03:05,550 INFO mapred.MapTask (MapTask.java:init(975)) - mapreduce.task.io.sort.mb: 100 
2016-05-12 23:03:05,550 INFO mapred.MapTask (MapTask.java:init(976)) - soft limit at 83886080 
2016-05-12 23:03:05,550 INFO mapred.MapTask (MapTask.java:init(977)) - bufstart = 0; bufvoid = 104857600 
2016-05-12 23:03:05,550 INFO mapred.MapTask (MapTask.java:init(978)) - kvstart = 26214396; length = 6553600 
2016-05-12 23:03:05,552 INFO mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 

我也提到了类似的问题已经问在计算器[how to suppress Hadoop logging message on the console但它未帮助我niether明确的答案进行了讨论。我试着用在一些论坛上建议如下配置,但在hadoop-env.sh

export HADOOP_HOME_WARN_SUPPRESS=1 
export HADOOP_ROOT_LOGGER="WARN,DRFA" 

下它不是working.I试图设置我也试图通过设置以下值编辑log4j.properties文件..

hadoop.root.logger=WARN,DRFA 
hadoop.log.dir=. 
hadoop.log.file=hadoop.log 

但是还是我不能够摆脱延迟控制台上我的输出中运行execution.Its用的Hadoop MapReduce的生成此日志消息作为well.Is他们的任何解决办法或任何Java代码,我可以在我的嵌入代码和压制messages.any建议,帮助..任何人都知道?

非常感谢!

回答

0

我找到了解决这个问题的办法。它需要的是改变mapreduce的配置文件。

1.mapreduce.map.log.level可以取值为OFF,FATAL,ERROR,WARN,INFO,DEBUG,TRACE和ALL。如果设置了“mapreduce.job.log4j-properties-file”,则可以覆盖该设置。

  1. mapreduce.reduce.log.level也可以取值为OFF,FATAL,ERROR,WARN,INFO,DEBUG,TRACE和ALL。如果设置了“mapreduce.job.log4j-properties-file”,则可以覆盖该设置。最好确保没有设置“mapreduce.job.log4j-properties-file”。

我们必须在mapred-site.xml中设置以下属性。现在

<property> 
<name>mapreduce.map.log.level</name> 
<value>OFF</value> 
</property> 


<property> 
<name>mapreduce.reduce.log.level</name> 
<value>OFF</value> 
</property> 

我可以看到在console.But没有日志消息它也有缺点,因为如果执行的MapReduce代码,因为没有日志消息都可见它发生,我们不能找出任何错误。