目录

一、函数写法

二、开窗的窗口范围ROWS与RANGE

1.范围限定用法

2.ROWS和RANGE的区别

(1) ROWS按行数限定

(2) RANGE按数据范围限定

        order by 数字

                例1    汇总数据范围为:[当前行值,当前行值+3]

                例2    汇总数据范围为:[当前行值-3,当前行值]

        order by 时间

                例1    [当前行日期,当前行日期+2]

                例2    [当前行日期-2,当前行日期]

三、函数介绍

1.排序函数

2.聚合函数

3.比较函数

        例1    lag 偏移为负数offset=-1

        例2    lag取出向前第0行,即偏移为0

        例3    lag取出向前第2行,即偏移为2

        例4    换个字段,lag取出向前第2行,即向前偏移为2

        例5    lead取出向后第2行,即向后偏移2

        例6    lead取出向后第2行,即向后偏移2,不加默认值


一、函数写法

函数名(参数) OVER (PARTITION BY子句 ORDER BY子句 ROWS/RANGE子句)

由三部分组成:
函数名:如sum、max、min、count、avg等聚合函数以及lead、lag行比较函数等;
over: 关键字,表示前面的函数是分析函数,不是普通的集合函数;
分组子句:over关键字后面挂号内的内容;

分析子句又由下面三部分组成:
PARTITION BY :分组子句,表示分析函数的计算范围,不同的组互不相干;
ORDER BY: 排序子句,表示分组后,组内的排序方式;
ROWS/RANGE:窗口子句,是在分组(PARTITION BY)后,组内的子分组(也称窗口),此时分析函数的计算范围窗口,而不是PARTITON。窗口有两种,ROWS和RANGE;

二、开窗的窗口范围ROWS与RANGE

1.范围限定用法

  • CURRENT ROW: 当前行
  • UNBOUNDED:不受控制的,无限的
  • UNBOUNDED PRECEDING: 区间的第一行
  • UNBOUNDED FOLLOWING:区间的最后一行
  • UNBOUNDED PRECEDING AND UNBOUNED FOLLOWING:针对当前所有记录的前一条、后一条记录,分组中的所有记录
  • PRECEDING:在...之前,N PRECEDING: 当前行之前的N行,可以是数字用于RANGE数据范围限定,也可以是一个能计算出数字的表达式
  • FOLLOWING:在...之后,N FOLLOWING:当前行之后的N行,可以是数字用于RANGE数据范围限定,也可以是一个能计算出数字的表达式
  • ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW  :指第一行至当前行的数据
  • ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING :指当前行到最后一行的汇总
  • ROWS BETWEEN 1 PRECEDING AND CURRENT ROW :指当前行的上一行(ROWNUM-1)到当前行的数据
  • ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING :指当前行的上一行(ROWNUM-1)到当前行的下一行(ROWNUM+1)的数据
  • RANGE BETWEEN CURRENT ROW AND 350 FOLLOWING:指当前行到当前行数据+350的范围内的数据
  • RANGE BETWEEN 5 PRECEDING AND 5 FOLLOWING:指当前行数据幅度减5加5后的范围内的数据

2.ROWS和RANGE的区别

ROWS按行数限定

RANGE按数据范围限定

(1) ROWS按行数限定

表结构及测试数据:

DROP TABLE IF EXISTS `test`;
CREATE TABLE `test`  (
  `video_id` int(0) NOT NULL COMMENT '视频ID',
  `dt` date NULL DEFAULT NULL,
  `if_follow` tinyint(0) NULL DEFAULT NULL COMMENT '是否关注'
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of test
-- ----------------------------
INSERT INTO `test` VALUES (2001, '2021-09-24', 1);
INSERT INTO `test` VALUES (2001, '2021-10-03', 1);
INSERT INTO `test` VALUES (2001, '2021-10-02', 1);
INSERT INTO `test` VALUES (2001, '2021-10-01', 1);
INSERT INTO `test` VALUES (2002, '2021-09-25', 1);
INSERT INTO `test` VALUES (2002, '2021-09-25', 1);
INSERT INTO `test` VALUES (2002, '2021-09-26', 1);
INSERT INTO `test` VALUES (2002, '2021-09-27', 1);
INSERT INTO `test` VALUES (2002, '2021-09-28', 1);
INSERT INTO `test` VALUES (2002, '2021-09-29', 1);
INSERT INTO `test` VALUES (2002, '2021-09-30', 1);
INSERT INTO `test` VALUES (2002, '2021-10-01', 1);
INSERT INTO `test` VALUES (2002, '2021-10-02', 1);
INSERT INTO `test` VALUES (2002, '2021-10-03', 1);

语句:

select video_id,dt, sum(if_follow) over(partition by video_id order by dt rows BETWEEN CURRENT ROW and 1 following ) from test ;

(2) RANGE按数据范围限定

表结构及测试数据:

DROP TABLE IF EXISTS `test`;
CREATE TABLE `test`  (
  `video_id` int(0) NOT NULL COMMENT '视频ID',
  `dt` date NULL DEFAULT NULL,
  `if_follow` tinyint(0) NULL DEFAULT NULL COMMENT '是否关注'
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of test
-- ----------------------------
INSERT INTO `test` VALUES (2001, '2021-09-24', 1);
INSERT INTO `test` VALUES (2001, '2021-10-03', 9);
INSERT INTO `test` VALUES (2001, '2021-10-02', 2);
INSERT INTO `test` VALUES (2001, '2021-10-01', 6);
INSERT INTO `test` VALUES (2002, '2021-09-25', 1);
INSERT INTO `test` VALUES (2002, '2021-09-25', 1);
INSERT INTO `test` VALUES (2002, '2021-09-26', 6);
INSERT INTO `test` VALUES (2002, '2021-09-27', 1);
INSERT INTO `test` VALUES (2002, '2021-09-28', 1);
INSERT INTO `test` VALUES (2002, '2021-09-29', 8);
INSERT INTO `test` VALUES (2002, '2021-09-30', 7);
INSERT INTO `test` VALUES (2002, '2021-10-01', 1);
INSERT INTO `test` VALUES (2002, '2021-10-02', 9);
INSERT INTO `test` VALUES (2002, '2021-10-03', 1);

下面这个语句执行会报错,因为当RANGE和PRECEDING/FOLLOWING一起使用时,order by的表达式必须为数字或者时间差

select video_id,dt, sum(if_follow) over(partition by video_id order by dt range BETWEEN 3 preceding and CURRENT ROW ) from test ;

 报错内容如下:
select video_id,dt, sum(if_follow) over(partition by video_id order by dt range BETWEEN 3 preceding and CURRENT ROW ) from test
> 3587 - Window '<unnamed window>' with RANGE N PRECEDING/FOLLOWING frame requires exactly one ORDER BY expression, of numeric or temporal type

order by 数字

例1    汇总数据范围为:[当前行值,当前行值+3]

select video_id,dt, sum(if_follow) over(partition by video_id order by if_follow range BETWEEN  CURRENT ROW and  3 following) from test ;

例2    汇总数据范围为:[当前行值-3,当前行值]

select video_id,dt, sum(if_follow) over(partition by video_id order by if_follow range BETWEEN 3 PRECEDING and CURRENT ROW ) from test ;

order by 时间

order by表达式的类型为时间(date、datetime)时,必须使用Interval

例1    [当前行日期,当前行日期+2]

select video_id,dt, sum(if_follow) over(partition by video_id order by dt range BETWEEN  CURRENT ROW and  interval 2 day following) from test ;

例2    [当前行日期-2,当前行日期]

select video_id,dt, sum(if_follow) over(partition by video_id order by dt range BETWEEN interval 2 day PRECEDING and CURRENT ROW ) from test ;

三、函数介绍

下面是mysql中能使用的

1.排序函数

rank()函数,如果有并列情况,会占用下一个名次的位置,比如,成绩为100的学生有三个并列第一,那么99分的学生是第二名,通过rank()函数,名次是:1,1,1,4;
dense()函数,如果有并列的情况,不会占用下一个名词,同用上个例子,名次是:1,1,1,2;
row_number()函数,会忽略并列的情况,同用上述例子,名次是:1,2,3,4;

2.聚合函数

count() over(partition by ... order by ...):求分组后的总数;
max() over(partition by ... order by ...):求分组后的最大值;
min() over(partition by ... order by ...):求分组后的最小值;
avg() over(partition by ... order by ...):求分组后的平均值;

3.比较函数

lag() over(partition by ... order by ...):取出向前第n行数据。  
lead() over(partition by ... order by ...):取出向后第n行数据。

lag(arg1,arg2,arg3)、lead(arg1,arg2,arg3)
第一个参数是列名,
第二个参数是偏移的offset,不能为负数,
第三个参数是超出记录窗口时的默认值。

表结构及测试数据:

DROP TABLE IF EXISTS `test`;
CREATE TABLE `test`  (
  `video_id` int(0) NOT NULL COMMENT '视频ID',
  `dt` date NULL DEFAULT NULL,
  `if_follow` tinyint(0) NULL DEFAULT NULL COMMENT '是否关注'
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of test
-- ----------------------------
INSERT INTO `test` VALUES (2001, '2021-09-24', 1);
INSERT INTO `test` VALUES (2001, '2021-10-03', 9);
INSERT INTO `test` VALUES (2001, '2021-10-02', 2);
INSERT INTO `test` VALUES (2001, '2021-10-01', 6);
INSERT INTO `test` VALUES (2002, '2021-09-25', 1);
INSERT INTO `test` VALUES (2002, '2021-09-25', 1);
INSERT INTO `test` VALUES (2002, '2021-09-26', 6);
INSERT INTO `test` VALUES (2002, '2021-09-27', 1);
INSERT INTO `test` VALUES (2002, '2021-09-28', 1);
INSERT INTO `test` VALUES (2002, '2021-09-29', 8);
INSERT INTO `test` VALUES (2002, '2021-09-30', 7);
INSERT INTO `test` VALUES (2002, '2021-10-01', 1);
INSERT INTO `test` VALUES (2002, '2021-10-02', 9);
INSERT INTO `test` VALUES (2002, '2021-10-03', 1);

例1    lag 偏移为负数offset=-1

语法错误,偏移offset,不能为负数

select video_id,dt, lag(dt,-1,'偏移超出了') over(order by dt ) from test ;

 1064 - You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '-1,'偏移超出了') over(order by dt ) from test' at line 1 

例2    lag取出向前第0行,即偏移为0

select video_id,dt, lag(dt,0,'偏移超出了') over(order by dt ) from test ;

 

例3    lag取出向前第2行,即偏移为2

select video_id,dt, lag(dt,2,'偏移超出了') over(order by dt ) from test ;

 

例4    换个字段,lag取出向前第2行,即向前偏移为2

select video_id,dt, lag(video_id,2,'偏移超出了') over(order by dt ) from test ;

例5    lead取出向后第2行,即向后偏移2

select video_id,dt, lead(video_id,2,'偏移超出了') over(order by dt ) from test ;

例6    lead取出向后第2行,即向后偏移2,不加默认值

select video_id,dt, lead(video_id,2) over(order by dt ) from test ;

下面可能是Oracle函数,mysql没能使用出来:

first_value() over()和last_value() over(),分别是求分组中第一个和最后一个

ratio_to_report() over(partition by ... order by ...):ratio_to_report() 括号中就是分子,over() 括号中就是分母

percent_rank() over(partition by ... order by ...)

Logo

旨在为数千万中国开发者提供一个无缝且高效的云端环境,以支持学习、使用和贡献开源项目。

更多推荐