大家在使用shell脚本调用hive命令的时候，发现hive的中间过程竟然打印到错误输出流里面，这样在查看错误日志的时候，需要过滤这些没用的信息，那么可以使用如下的配置参数。

set hive.session.silent=true; （默认是false）

例如：

hive> select from_original,pv from tableName where rpt_date='2014-12-08' order by pv desc limit 4;Total MapReduce jobs = 1Launching Job 1 out of 1Number of reduce tasks determined at compile time: 1In order to change the average load for a reducer (in bytes):  set hive.exec.reducers.bytes.per.reducer=
     
      In order to limit the maximum number of reducers:  set hive.exec.reducers.max=
      
       In order to set a constant number of reducers:  set mapred.reduce.tasks=
       
        Starting Job = job_1417682027300_928652, Tracking URL = http://l-hdpm4.data.cn6.qunar.com:9981/proxy/application_1417682027300_928652/Kill Command = /home/q/hadoop/hadoop-2.2.0/bin/hadoop job  -kill job_1417682027300_928652Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 12015-01-09 11:28:07,561 Stage-1 map = 0%,  reduce = 0%2015-01-09 11:28:12,735 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.15 sec2015-01-09 11:28:13,766 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.15 sec2015-01-09 11:28:14,796 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.15 sec2015-01-09 11:28:15,826 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.15 sec2015-01-09 11:28:16,859 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.15 sec2015-01-09 11:28:17,892 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.15 sec2015-01-09 11:28:18,925 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 2.73 sec2015-01-09 11:28:19,958 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 2.73 secMapReduce Total cumulative CPU time: 2 seconds 730 msecEnded Job = job_1417682027300_928652MapReduce Jobs Launched: Job 0: Map: 1  Reduce: 1   Cumulative CPU: 2.73 sec   HDFS Read: 11815 HDFS Write: 83 SUCCESSTotal MapReduce CPU Time Spent: 2 seconds 730 msecOKsuggest      6ts_hotcity      5suggest2      4mps_remdd       3Time taken: 18.502 seconds, Fetched: 4 row(s)
       
      
     

不过我们需要的信息就最后面那么几行，可以如此设置

hive> set hive.session.silent=true;                                                                           hive> select from_original,pv from tableName where rpt_date='2014-12-08' order by pv desc limit 4;suggest      6ts_hotcity      5suggest2      4mps_remdd       3

大家可能会有两个疑问：

1、hive在哪&怎么将info和warning信息打印到标准错误流里面的？

那么给大家看一段代码（org.apache.hadoop.hive.cli.CliDriver）：

try {      ss.out = new PrintStream(System.out, true, "UTF-8");      ss.info = new PrintStream(System.err, true, "UTF-8");      ss.err = new CachingPrintStream(System.err, true, "UTF-8");    } catch (UnsupportedEncodingException e) {      return 3;    }

可见，使用的是System.err方法。

2、为什么需要打印到错误输出流里面

我的理解是便于命令行获取结果，并经这些内容要输出，如果放到标准输出里面，和结果就混淆了