我正在使用hadoop2.7.3，使用yarn做一些map reduce。为每个容器生成的日志是天文数字。显然使用的级别是debug。我想增加日志级别的信息。
我的安装或多或少是默认安装。
我尝试修改hadoop yarn服务器nodemanager-*.jar中的container-log4j.properties，如中所述https://community.hortonworks.com/questions/98259/hdp-250-how-to-override-default-container-log4j-in.html 但这没有帮助。我每个容器的标准文件都很大。。。很可能也是我的map/reduce如此缓慢的原因。
有人知道如何将日志级别提高到stdout容器日志文件中的信息吗？
以下是我的一个标准：
~/hadoop/logs/userlogs/application\u 1501740469795\u 0001/container\u 1501740469795\u 0001\u 01\u000001:1282>更多标准08:08:55.337[main]调试org.apache.hadoop.metrics2.impl.metricssystemimpl-jvmmetrics，jvm相关度量等08:08:55.348[main]debug org.apache.hadoop.metrics2.lib.mutablemetricsfactory-field org.apache.hadoop.metrics2.lib.mutablecounterint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.jobssubmitted with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，value=[]，valuename=time）08:08:55.355[main]调试org.apache.hadoop.metrics2.lib.mutablemetricsfactory-字段org.apache.hadoop.metrics2.lib.mutablecounterint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.jobscompleted with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，value=[]，valuename=time）08:08:55.360[main]调试org.apache.hadoop.metrics2.lib.mutablemetricsfactory-字段org.apache.hadoop.metrics2.lib.mutablecounterint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.jobsfailed with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，va lue=[]，valuename=time）08:08:55.364[main]调试org.apache.hadoop.metrics2.lib.mutablemetricsfactory-字段org.apache.hadoop.metrics2.lib.mutablecounterint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.jobskilled with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，va lue=[]，valuename=time）08:08:55.364[main]调试org.apache.hadoop.metrics2.lib.mutablemetricsfactory-域org.apache.hadoop.metrics2.lib.mutablegaugeint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.jobspreparing with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，v value=[]，valuename=time）08:08:55.365[main]调试org.apache.hadoop.metrics2.lib.mutablemetricsfactory-域org.apache.hadoop.metrics2.lib.mutablegaugeint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.jobsrunning with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，val ue=[]，valuename=time）08:08:55.365[main]调试org.apache.hadoop.metrics2.lib.mutablemetricsfactory-字段org.apache.hadoop.metrics2.lib.mutablecounterint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.mapslaunched with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，value=[]，valuename=time）08:08:55.365[main]调试org.apache.hadoop.metrics2.lib.mutablemetricsfactory-字段org.apache.hadoop.metrics2.lib.mutablecounterint org.apache.hadoop.mapreduce.v2.app.metrics.mrappmetrics.mapscompleted with annotation@org.apache.hadoop.metrics2.annotation.metrics（about=，samplename=ops，always=false，type=default，值=[]，值名称=时间）。。。
谢谢你的帮助。