method1:
table sql:
CREATE TABLE `tpr_click` ( `id` int(25) NOT NULL AUTO_INCREMENT, `user` char(50) COLLATE utf8_unicode_ci DEFAULT NULL, `clickTime` timestamp NULL DEFAULT NULL, `tpr` char(25) COLLATE utf8_unicode_ci DEFAULT NULL, `csys` char(50) COLLATE utf8_unicode_ci NOT NULL DEFAULT 'bios', PRIMARY KEY (`id`) USING BTREE ) ENGINE=MyISAM AUTO_INCREMENT=135 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
这个方法适用于 字段比较少,数据比较少时使用
SELECT user, COUNT(CASE WHEN csys = 'bios' THEN 1 END) AS bios_count, COUNT(CASE WHEN csys = 'eco' THEN 1 END) AS eco_count, COUNT(CASE WHEN csys = 'program' THEN 1 END) AS program_count, COUNT(CASE WHEN csys = 'npi' THEN 1 END) AS npi_count, COUNT(CASE WHEN csys = 'testlog' THEN 1 END) AS testlog_count, COUNT(CASE WHEN csys = 'report' THEN 1 END) AS report_count FROM tpr_click group by user
method2:
group by select * ,count(*) from tpr_click group by 字段1,字段2
group by 可以多个条件分组!!!
扩展:根据 用户 user 和 csys 分组统计,并且连接最近一次的clickTime 形成一张表:
select t1.id,t1.user,t1.tpr,t1.csys,t1.count,t2.latestClick,t2.user,t2.csys from
(select *,count(*) as count from tpr_click where user!='' group by user,csys) t1
right JOIN (select DISTINCT id,user,clickTime latestClick,tpr, csys from
tpr_click where clickTime > '2021-06-25 00:00:00' and clickTime < '2021-06-29 23:59:59'
group by clickTime ORDER BY clickTime desc) t2 on t1.user=t2.user and t1.csys=t2.csys group by t1.user,t1.csys