从MySQL8之后才开始支持窗口函数
<窗口函数> OVER ([PARTITION BY <用于分组的列>] ORDER BY <用于排序的列>)
lag和lead分别是向前向后的意思
参数有三个。expression:列名;offset:偏移量;default_value:超出记录窗口的默认值(默认为null,可以设置为0)
1、LAG()函数:统计与前一天相比温度更高的日期Id
我们先按照日期进行排序,然后找到当天比前一天温度高的id;使用lag()函数,将温度向后推一天。
select id, date, temperature, LAG(temperature, 1, 0) OVER (order by date) as temp FROM weather
查询结果:
然后将temperature大于temp 并且temp不等于0的数据挑选出来
select id from (select id, date, temperature, LAG(temperature, 1, 0) OVER (order by date) as temp FROM weather) tmp where temperature>temp and temp != 0;
结果如下:
2、LEAD()函数:统计与后一天相比温度更高的日期Id
首先,我们对日期进行排序,接着使用lead()函数将温度向后推一天,并找出当天比后一天温度高的id。
select id, date, temperature, LEAD(temperature, 1, 0) OVER (order by date) as temp FROM weather
查询结果:
然后将temperature大于temp 并且temp不等于0的数据挑选出来
select id from (select id, date, temperature, LEAD(temperature, 1, 0) OVER (order by date) as temp FROM weather) tmp where temperature>temp and temp != 0;
查询结果:
DROP TABLE IF EXISTS `weather`; CREATE TABLE `weather` ( `id` int(11) NOT NULL, `date` date NULL DEFAULT NULL, `temperature` int(11) NULL DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of weather -- ---------------------------- INSERT INTO `weather` VALUES (1, '2022-08-01', 20); INSERT INTO `weather` VALUES (2, '2022-08-02', 25); INSERT INTO `weather` VALUES (3, '2022-08-03', 22); INSERT INTO `weather` VALUES (4, '2022-08-04', 22); INSERT INTO `weather` VALUES (5, '2022-08-05', 26); INSERT INTO `weather` VALUES (6, '2022-08-06', 28); INSERT INTO `weather` VALUES (7, '2022-08-07', 20); SET FOREIGN_KEY_CHECKS = 1;
以上是MySQL中LAG()函数和LEAD()函数如何使用的详细内容。更多信息请关注PHP中文网其他相关文章!