Mysql常用SQL语句[通俗易懂]

Mysql常用SQL语句[通俗易懂]基础篇 //查询时间,友好提示 $sql = “select date_format(create_time, '%Y-%m-%d') as day from table_nam…

Mysql常用SQL语句

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";

代码100分

代码100分//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";
代码100分//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) ";
清华大佬整理好的Mysql常用SQL语句集锦 |头条技术文(建议收藏)

 

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:=@number+1 rn from test_number,(select @number:=0) as number
    ) b
) c group by diff;
清华大佬整理好的Mysql常用SQL语句集锦 |头条技术文(建议收藏)

 

  • 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;
清华大佬整理好的Mysql常用SQL语句集锦 |头条技术文(建议收藏)

 

//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;
清华大佬整理好的Mysql常用SQL语句集锦 |头条技术文(建议收藏)

 

//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;
清华大佬整理好的Mysql常用SQL语句集锦 |头条技术文(建议收藏)

 

//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;
清华大佬整理好的Mysql常用SQL语句集锦 |头条技术文(建议收藏)

 

//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,
            b.diff-@rank 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;
清华大佬整理好的Mysql常用SQL语句集锦 |头条技术文(建议收藏)

 

版权声明:本文内容由互联网用户自发贡献,该文观点仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 举报,一经查实,本站将立刻删除。
转载请注明出处: https://daima100.com/8161.html

(0)
上一篇 2023-03-06
下一篇 2023-03-06

相关推荐

  • mysql默认的事务隔离级别能达到什么效果_MySQL事务隔离级别

    mysql默认的事务隔离级别能达到什么效果_MySQL事务隔离级别经常提到数据库的事务,那你知道数据库还有事务隔离的说法吗,事务隔离还有隔离级别,那什么是事务隔离,隔离级别又是什么呢?本文就帮大家梳理一下。 MySQL 事务 本文所说的 MySQL 事务都是指在 I

    2023-02-10
    150
  • Python Scipy:高效科学计算利器

    Python Scipy:高效科学计算利器Python 是一种高级编程语言,具有简单易学的语法、卓越的可读性和高效的代码执行性能,成为广大开发者和科学家所钟爱的一门编程语言。在 Python 生态系统中,Scipy 是一种广受欢迎的科学计算库,用于数据分析、机器学习、信号处理、图像处理、计算几何和优化等领域。

    2024-07-23
    37
  • Spark 两种方法计算分组取Top N[通俗易懂]

    Spark 两种方法计算分组取Top N[通俗易懂]Spark 分组取Top N运算 大数据处理中,对数据分组后,取TopN是非常常见的运算。 下面我们以一个例子来展示spark如何进行分组取Top的运算。 1、RDD方法分组取TopN from py

    2023-03-18
    145
  • 基础架构(1)[通俗易懂]

    基础架构(1)[通俗易懂]`MySQL`分为两部分: 层 包含连接器、查询缓存、分析器、优化器、执行器等,涵盖 的大多数核心服务功能,以及所有的内置函数(如日期、时间、数学和加密函数等),所有跨存储引擎的功能都在这一层实现,比

    2023-02-11
    136
  • 用SQL语句获取常见的几种日期「终于解决」

    用SQL语句获取常见的几种日期「终于解决」用SQL语句获取常见的几种日期数值 上周 SELECT TO_CHAR(TRUNC(SYSDATE, 'IW') – 7, 'yyyymmdd') FROM DUAL

    2023-03-11
    157
  • Python判断字符串是否为字母

    Python判断字符串是否为字母Python是一门高级编程语言,被广泛应用于自然语言处理、数据科学等领域。字符串是Python中最常用的数据类型之一,判断字符串是否为字母也是基础中的基础。

    2024-05-04
    71
  • 优化数据结构,deque为高效操作尽一份微力

    优化数据结构,deque为高效操作尽一份微力Python标准库collections模块中的deque(双向队列)是一种高效的数据结构,其支持从两端高效地添加或删除元素。它具备与列表(List)相似的功能,但却更加节省内存并且可以提供O(1)复杂度的popleft操作,这使得deque在需要高效的队列或栈操作时非常有用。

    2024-03-08
    80
  • Python判断字符串中是否包含指定字符串的方法

    Python判断字符串中是否包含指定字符串的方法在Python开发中,我们常常需要对字符串进行处理。要想对字符串进行操作,首先需要对字符串的特定部分进行定位,判断其是否包含指定的字符串是至关重要的。在本文中,我们将详细解释Python中判断字符串中是否包含指定字符串的方法。

    2024-05-10
    64

发表回复

您的电子邮箱地址不会被公开。 必填项已用*标注