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2016
12-13

Mysql 常用 SQL 语句大全

基础篇

//查询时间,友好提示 $sql = "select date_format(create_time, '%Y-%m-%d') as day from table_name";
//int 时间戳类型 $sql = "select from_unixtime(create_time, '%Y-%m-%d') as day from table_name";
//一个sql返回多个总数 $sql = "select count(*) all, " ;
$sql .= " count(case when status = 1 then status end) status_1_num, ";
$sql .= " count(case when status = 2 then status end) status_2_num ";
$sql .= " from table_name";
//Update Join / Delete Join $sql = "update table_name_1 ";
$sql .= " inner join table_name_2 on table_name_1.id = table_name_2.uid ";
$sql .= " inner join table_name_3 on table_name_3.id = table_name_1.tid ";
$sql .= " set *** = *** ";
$sql .= " where *** "; //delete join 同上。
//替换某字段的内容的语句 $sql = "update table_name set content = REPLACE(content, 'aaa', 'bbb') ";
$sql .= " where (content like '%aaa%')";
//获取表中某字段包含某字符串的数据 $sql = "SELECT * FROM `表名` WHERE LOCATE('关键字', 字段名) ";
//获取字段中的前4位 $sql = "SELECT SUBSTRING(字段名,1,4) FROM 表名 ";
//查找表中多余的重复记录 //单个字段 $sql = "select * from 表名 where 字段名 in ";
$sql .= "(select 字段名 from 表名 group by 字段名 having count(字段名) > 1 )"; //多个字段 $sql = "select * from 表名 别名 where (别名.字段1,别名.字段2) in ";
$sql .= "(select 字段1,字段2 from 表名 group by 字段1,字段2 having count(*) > 1 )";
//删除表中多余的重复记录(留id最小) //单个字段 $sql = "delete from 表名 where 字段名 in ";
$sql .= "(select 字段名 from 表名 group by 字段名 having count(字段名) > 1)  ";
$sql .= "and 主键ID not in ";
$sql .= "(select min(主键ID) from 表名 group by 字段名 having count(字段名 )>1) "; //多个字段 $sql = "delete from 表名 别名 where (别名.字段1,别名.字段2) in ";
$sql .= "(select 字段1,字段2 from 表名 group by 字段1,字段2 having count(*) > 1) ";
$sql .= "and 主键ID not in ";
$sql .= "(select min(主键ID) from 表名 group by 字段1,字段2 having count(*)>1) ";

业务篇

  • 连续范围问题
//创建测试表 CREATE TABLE `test_number` ( `id` int(10) unsigned NOT NULL AUTO_INCREMENT, `number` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '数字',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
//创建测试数据 insert into test_number values(1,1);
insert into test_number values(2,2);
insert into test_number values(3,3);
insert into test_number values(4,5);
insert into test_number values(5,7);
insert into test_number values(6,8);
insert into test_number values(7,10);
insert into test_number values(8,11);

实验目标:求数字的连续范围。

根据上面的数据,应该得到的范围。

1-3 5-5 7-8 10-11
//执行Sql select min(number) start_range,max(number) end_range from (
    select number,rn,number-rn diff from (
        select number,@number:[email protected]+1 rn from test_number,(select @number:=0) as number
    ) b
) c group by diff;

数字的连续范围

  • 签到问题
//创建参考表(模拟数据需要用到) CREATE TABLE `test_nums` ( `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='参考表'; //模拟数据,插入 1-10000 连续数据.
//创建测试表 CREATE TABLE `test_sign_history` ( `id` int(10) unsigned NOT NULL AUTO_INCREMENT, `uid` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '用户ID', `create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '签到时间',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='签到历史表';
//创建测试数据 insert into test_sign_history(uid,create_time)
select ceil(rand()*10000),str_to_date('2016-12-11','%Y-%m-%d')+interval ceil(rand()*10000) minute from test_nums where id<31;
//统计每天的每小时用户签到情况 select
    h,
    sum(case when create_time='2016-12-11' then c else 0 end) 11Sign,
    sum(case when create_time='2016-12-12' then c else 0 end) 12Sign,
    sum(case when create_time='2016-12-13' then c else 0 end) 13Sign,
    sum(case when create_time='2016-12-14' then c else 0 end) 14Sign,
    sum(case when create_time='2016-12-15' then c else 0 end) 15Sign,
    sum(case when create_time='2016-12-16' then c else 0 end) 16Sign,
    sum(case when create_time='2016-12-17' then c else 0 end) 17Sign from (
    select
        date_format(create_time,'%Y-%m-%d') create_time,
        hour(create_time) h,
        count(*) c from test_sign_history
    group by
        date_format(create_time,'%Y-%m-%d'),
        hour(create_time)
) a
group by h with rollup;

统计每天的每小时用户签到情况

//统计每天的每小时用户签到情况(当某个小时没有数据时,显示0) select
    h ,
    sum(case when create_time='2016-12-11' then c else 0 end) 11Sign,
    sum(case when create_time='2016-12-12' then c else 0 end) 12Sign,
    sum(case when create_time='2016-12-13' then c else 0 end) 13Sign,
    sum(case when create_time='2016-12-14' then c else 0 end) 14Sign,
    sum(case when create_time='2016-12-15' then c else 0 end) 15Sign,
    sum(case when create_time='2016-12-16' then c else 0 end) 16Sign,
    sum(case when create_time='2016-12-17' then c else 0 end) 17Sign from (
    select b.h h,c.create_time,c.c from (
        select id-1 h from test_nums where id<=24 ) b
     left join
     (
        select
         date_format(create_time,'%Y-%m-%d') create_time,
         hour(create_time) h,
         count(*) c from test_sign_history
        group by
         date_format(create_time,'%Y-%m-%d'),
         hour(create_time)
      ) c on (b.h=c.h)
) a
group by h with rollup;
统计每天的每小时用户签到情况(当某个小时没有数据时,显示0)
//统计每天的用户签到数据和每天的增量数据 select
        type,
        sum(case when create_time='2016-12-11' then c else 0 end) 11Sign,
        sum(case when create_time='2016-12-12' then c else 0 end) 12Sign,
        sum(case when create_time='2016-12-13' then c else 0 end) 13Sign,
        sum(case when create_time='2016-12-14' then c else 0 end) 14Sign,
        sum(case when create_time='2016-12-15' then c else 0 end) 15Sign,
        sum(case when create_time='2016-12-16' then c else 0 end) 16Sign,
        sum(case when create_time='2016-12-17' then c else 0 end) 17Sign from (
        select b.create_time,ifnull(b.c-c.c,0) c,'Increment' type from (
            select
             date_format(create_time,'%Y-%m-%d') create_time,
             count(*) c from test_sign_history
            group by
             date_format(create_time,'%Y-%m-%d')
        ) b
        left join
        (
            select
             date_format(create_time,'%Y-%m-%d') create_time,
             count(*) c from test_sign_history
            group by
             date_format(create_time,'%Y-%m-%d')
        ) c on(b.create_time=c.create_time+ interval 1 day)
    union all
        select
         date_format(create_time,'%Y-%m-%d') create_time,
         count(*) c, 'Current' from test_sign_history
        group by
         date_format(create_time,'%Y-%m-%d')
) a
group by type
order by case when type='Current' then 1 else 0 end desc;
统计每天的用户签到数据和每天的增量数据
//模拟不同的用户签到了不同的天数 insert into test_sign_history(uid,create_time)
select uid,create_time + interval ceil(rand()*10) day from test_sign_history,test_nums
where test_nums.id <10 order by rand() limit 150;
//统计签到天数相同的用户数量 select
    sum(case when day=1 then cn else 0 end) 1Day,
    sum(case when day=2 then cn else 0 end) 2Day,
    sum(case when day=3 then cn else 0 end) 3Day,
    sum(case when day=4 then cn else 0 end) 4Day,
    sum(case when day=5 then cn else 0 end) 5Day,
    sum(case when day=6 then cn else 0 end) 6Day,
    sum(case when day=7 then cn else 0 end) 7Day,
    sum(case when day=8 then cn else 0 end) 8Day,
    sum(case when day=9 then cn else 0 end) 9Day,
    sum(case when day=10 then cn else 0 end) 10Day from (
    select c day,count(*) cn from (
        select uid,count(*) c from test_sign_history group by uid
    ) a
    group by c
) b;
统计签到天数相同的用户数量
//统计每个用户的连续签到时间 select * from (
    select d.*,
    @ggid := @cggid,
    @cggid := d.uid, if(@ggid = @cggid, @grank := @grank + 1, @grank := 1) grank from (
        select uid,min(c.create_time) begin_date ,max(c.create_time) end_date,count(*) count from (
            select
            b.*,
            @gid := @cgid,
            @cgid := b.uid, if(@gid = @cgid, @rank := @rank + 1, @rank := 1) rank,
            [email protected] flag from (
                select
                distinct
                uid,
                date_format(create_time,'%Y-%m-%d') create_time,
                datediff(create_time,now()) diff from test_sign_history order by uid,create_time
            ) b, (SELECT @gid := 1, @cgid := 1, @rank := 1) as a
        ) c group by uid,flag
        order by uid,count(*) desc
    ) d,(SELECT @ggid := 1, @cggid := 1, @grank := 1) as e
)f
where grank=1;
统计每个用户的连续签到时间

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