mysql中数据统计的技巧备忘录

mysql 作为常用数据库，操作贼六是必须的，对于数字操作相关的东西，那是相当方便，本节就来拎几个统计案例出来供参考！

order订单表,样例如下：

create table `yyd_order` (
　　`id` bigint(20) unsigned not null auto_increment,
　　`user_id` int(11) not null,
　　`order_nid` varchar(50) not null,
　　`status` varchar(50) not null default '0',
　　`money` decimal(20,2) not null default '0.00',
　　`create_time` timestamp not null default current_timestamp,
　　`update_time` timestamp not null default current_timestamp on update current_timestamp,
　　primary key (`id`),
　　key `userid` (`user_id`),
　　key `createtime` (`create_time`),
　　key `updatetime` (`update_time`)
) engine=innodb;

1. 按天统计进单量，date_format

select date_format(t.`create_time`, '%y-%m-%d') t_date, count(1) t_count from t_order t where t.`create_time` > '2018-05-11' group by date_format(t.`create_time`, '%y-%m-%d');

2. 按小时统计进单量

select date_format(t.`create_time`, '%y-%m-%d %h') t_hour, count(1) t_count from t_order t where t.`create_time` > '2018-05-11' group by date_format(t.`create_time`, '%y-%m-%d %h');

3. 同比昨天进单量对比，order by h, date

select date_format(t.`create_time`, '%y-%m-%d %h') t_date, count(1) t_count from yyd_order t where t.`create_time` > '2018-05-11' group by date_format(t.`create_time`, '%y-%m-%d %h')
order by date_format(t.`create_time`, '%h'),date_format(t.`create_time`, '%y-%m-%d %h');

4. 环比上周同小时进单，date in ，order by

select date_format(t.`create_time`, '%y-%m-%d %h') t_date, count(1) t_count from yyd_order t where
 date_format(t.`create_time`,'%y-%m-%d') in ('2018-05-03','2018-05-11') group by date_format(t.`create_time`, '%y-%m-%d %h')
order by date_format(t.`create_time`, '%h'),date_format(t.`create_time`, '%y-%m-%d %h');

5. 按照remark字段中的返回值进行统计，group by remark like ...

select date_format(t.`create_time`, '%y-%m-%d') t_date, count(1) t_count, substring_index(substring_index(t.`msg`, '{', -1), '}', 1) t_rsp_msg from 
 cmoo_tab t where t.`create_time` > '2018-05-17' and t.`rsp_msg` like '%nextprocesscode%c9000%'
 group by date_format(t.`create_time`, '%y-%m-%d'),substring_index(substring_index(t.`rsp_msg`, '{', -1), '}', 1);

6. 统计每小时的各金额的区间数统计，sum if 1 0，各自统计

select date_format(t.create_time,'%y-%m-%d') t_date, sum(if(t.`amount`>0 and t.`amount`<1000, 1, 0)) t_0_1000, sum(if(t.`amount`>1000 and t.`amount`<5000, 1, 0)) t_1_5000,
　　sum(if(t.`amount`>5000, 1, 0)) t_5000m from mobp2p.`yyd_order` t where t.`create_time` > '2018-05-11' group by date_format(t.`create_time`, '%y-%m-%d');

7. 按半小时统计进单量，floor h / 30，同理10分钟，20分钟

select concat(date_format(create_time, '%y-%m-%d %h:' ),if(floor(date_format(create_time, '%i') / 30 ) = 0, '00','30')) as time_scope, count(*) 
from yyd_order where create_time>'2018-05-11' group by time_scope order by date_format(create_time, '%h:%i'), date_format(create_time, '%y-%m-%d') desc ;

8. 成功率，失败率，临时表 join on hour

select * from 
 (select date_format(t.`create_time`, '%y-%m-%d') t_date,count(1) '成功数' from yyd_order t where t.`create_time` > '2018-05-17' and t.`status` = 'repay_yes' group by date_format(t.`create_time`, '%y-%m-%d')) t1
 right join 
 (select date_format(t.`create_time`, '%y-%m-%d') t_date,count(1) '总数' from yyd_order t where t.`create_time` > '2018-05-11' group by date_format(t.`create_time`, '%y-%m-%d')) t2 on t1.t_date=t2.t_date;

9. 更新日志表中最后条一条日志状态值到信息表中状态，update a join b on xx set a.status=b.status where tmp group by userid tmp2，注意索引

update t_order t0 left join (select * from (select * from t_order_log t where t.create_time>'2018-05-11' order by id desc) t1
 group by t1.user_id ) on t.user_id=t2.user_id set t0.`status`=t2.status where t0.`create_time`>'2018-05-11' and t0.`status`=10;

10. 备份表，create table as select xxx where xxx

create table t_m as select * from t_order;

11. 纯改备注不锁表，快，类型全一致

总结

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