hive having count 不能去重
编程技术 / houtizong 发布于 3年前 123
hive在使用having count()是，不支持去重计数
hive (default)> select imei from t_test_phonenum where ds=20150701 group by imei having count(distinct phone_num)>1 limit 10;
FAILED: SemanticException [Error 10002]: Line 1:95 Invalid column reference 'phone_num'
hive (default)> select imei from t_test_phonenum where ds=20150701 group by imei having count(phone_num)>1 limit 10;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
Starting Job = job_201503201830_2570778, Tracking URL = http://10-198-131-242:8080/jobdetails.jsp?jobid=job_201503201830_2570778
Kill Command = /data/home/hadoop-1.2.1/libexec/../bin/hadoop job -kill job_201503201830_2570778
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2015-07-03 11:07:16,954 Stage-1 map = 0%, reduce = 0%
2015-07-03 11:07:33,530 Stage-1 map = 100%, reduce = 0%
2015-07-03 11:07:47,620 Stage-1 map = 100%, reduce = 33%, Cumulative CPU 14.32 sec
2015-07-03 11:07:55,742 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 20.78 sec
MapReduce Total cumulative CPU time: 20 seconds 780 msec
Ended Job = job_201503201830_2570778
MapReduce Jobs Launched:
Job 0: Map: 1 Reduce: 1 Cumulative CPU: 20.78 sec HDFS Read: 17371199 HDFS Write: 98 SUCCESS
Total MapReduce CPU Time Spent: 20 seconds 780 msec
OK
02541213XXXXX
特此记录一下
请勿发布不友善或者负能量的内容。与人为善，比聪明更重要！
技术博客集 - 网站简介：
前后端技术：
后端基于Hyperf2.1框架开发,前端使用Bootstrap可视化布局系统生成
网站主要作用：
1.编程技术分享及讨论交流，内置聊天系统;
2.测试交流框架问题，比如：Hyperf、Laravel、TP、beego;
3.本站数据是基于大数据采集等爬虫技术为基础助力分享知识，如有侵权请发邮件到站长邮箱，站长会尽快处理;
4.站长邮箱：[email protected];
文章归档
文章标签
友情链接
