Cloudera ToolRunner

Question

我正在使用Hue访问蜂巢服务。我创建了一个Hive表

create table tablename(colname type,.....) 
row format delimited fields terminated by ',';

我把数据上传得很完美，有30万条记录。但是，在执行如下查询时：

select count(*) from tablename;

它正在创建MapReduce作业，此时我得到以下警告，即如何解决此警告。

警告:未执行Hadoop命令行选项解析。实现工具接口并使用ToolRunner执行应用程序来弥补这一点。

完整日志：

INFO  : Number of reduce tasks determined at compile time: 1
INFO  : In order to change the average load for a reducer (in bytes):
INFO  :   set hive.exec.reducers.bytes.per.reducer=<number>
INFO  : In order to limit the maximum number of reducers:
INFO  :   set hive.exec.reducers.max=<number>
INFO  : In order to set a constant number of reducers:
INFO  :   set mapreduce.job.reduces=<number>
WARN  : Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
INFO  : number of splits:1
INFO  : Submitting tokens for job: job_1442315442114_0017
INFO  : The url to track the job: http://dwiclmaster:8088/proxy/application_1442315442114_0017/
INFO  : Starting Job = job_1442315442114_0017, Tracking URL = http://dwiclmaster:8088/proxy/application_1442315442114_0017/
INFO  : Kill Command = /opt/cloudera/parcels/CDH-5.4.4-1.cdh5.4.4.p0.4/lib/hadoop/bin/hadoop job  -kill job_1442315442114_0017
INFO  : Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
INFO  : 2015-09-15 18:29:06,910 Stage-1 map = 0%,  reduce = 0%
INFO  : 2015-09-15 18:29:15,257 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.65 sec
INFO  : 2015-09-15 18:29:21,513 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 3.19 sec
INFO  : MapReduce Total cumulative CPU time: 3 seconds 190 msec
INFO  : Ended Job = job_1442315442114_0017

Answer 1

这只是来自MapReduce的警告，因为Hive提交的作业没有实现接口。这是可以安全地忽略的。

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