2016-05-12 102 views
1

我正在使用hadoop 2.5.2.I我是hadoop和map reduce的新手。我嘗試使用map reduce代碼來執行情感分析。但是當我執行代碼時,很多日誌消息是由控制檯上的hadoop生成的。這就是爲每個句子給出分析結果花費大量時間的原因。以下是該日誌消息....如何在控制檯上抑制由hadoop生成的日誌消息

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)) - 

我也提到了類似的問題已經問在計算器[how to suppress Hadoop logging message on the console但它未幫助我niether明確的答案進行了討論。我試着用在一些論壇上建議如下配置,但在hadoop-env.sh

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

下它不是working.I試圖設置我也試圖通過設置以下值編輯log4j.properties文件..

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

但是還是我不能夠擺脫延遲控制檯上我的輸出中運行execution.Its用的Hadoop MapReduce的生成此日誌消息作爲well.Is他們的任何解決辦法或任何Java代碼,我可以在我的嵌入代碼和壓制messages.any建議,幫助..任何人都知道?

非常感謝!

回答

0

我找到了解決這個問題的辦法。它需要的是改變mapreduce的配置文件。

1.mapreduce.map.log.level可以取值爲OFF,FATAL,ERROR,WARN,INFO,DEBUG,TRACE和ALL。如果設置了「mapreduce.job.log4j-properties-file」,則可以覆蓋該設置。

  1. mapreduce.reduce.log.level也可以取值爲OFF,FATAL,ERROR,WARN,INFO,DEBUG,TRACE和ALL。如果設置了「mapreduce.job.log4j-properties-file」,則可以覆蓋該設置。最好確保沒有設置「mapreduce.job.log4j-properties-file」。

我們必須在mapred-site.xml中設置以下屬性。現在

<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沒有日誌消息它也有缺點,因爲如果執行的MapReduce代碼,因爲沒有日誌消息都可見它發生,我們不能找出任何錯誤。