如何在php中基于两个值查找排名？

我有一个php中与训练相关的web应用程序，其中包含训练表，该表根据活动类型（如跑步、游泳、骑自行车等）存储用户的每日训练数据。我需要生成一个排行榜的排名系统为基础的高

选择
求和（平均速度）作为平均速度，
总和（最大转速）作为最大转速，
创建日期，
用户id
从训练中
其中创建的日期为“%2019-12%”
按用户id分组

通过此查询，我得到如下输出：

---

我需要的输出应该基于平均速度尝试这样玩查询

select user_id,avg,max from users nu
join
(
    select sum(avg_speed) as avg,sum(max_speed) as max,user_id FROM workouts group by user_id
)t2 on t2.user_id=nu.id 
 where avg<30 and max <50
 and date_created LIKE '%2019-12%'
group by t2.user_id order by avg desc;

---

这可能会帮助您

您可以尝试以下SQL语句：

SELECT s1.avg_speed, s1.max_speed, s1.user_id,
       @row_num:=IF(s1.avg_speed = @last_avg_speed, @row_num, @origin_row_num+1) rank_no,
       @last_avg_speed:=s1.avg_speed last_avg_speed,
       @origin_row_num:=@origin_row_num+1 origin_row_num
FROM (
    SELECT SUM(avg_speed) avg_speed, SUM(max_speed) max_speed, user_id FROM workouts
        WHERE date_created LIKE '2019-12%'
        GROUP BY user_id
) s1, (SELECT @origin_row_num:=0, @row_num:=0, @last_avg_speed:=0) R
WHERE s1.avg_speed < 30 AND s1.max_speed < 50
ORDER BY s1.avg_speed DESC

在最后一列中，

last_avg_speed

始终等于avg_speed，您可以忽略它

---

顺便说一下，如果您使用的是MySQL 8.0.0或更高版本，您可以使用

ROW_NUMBER（）

和

RANK（）

函数来非常简单地解决它。是文档。

1）您可以从所有可能的

用户id

中随机获取创建的

日期。2） 所需输出应基于平均速度是，因为对于特定月份，我需要获取数据，您必须获取特定日期。例如，<代码> min（DATEA创建）。考虑我创建的DATEY是2019-12，所以我需要根据MIN和Max Suffer-Exchange来生成十二月的排名。这个代码是按照我的要求工作的。
SELECT s1.avg_speed, s1.max_speed, s1.user_id,
       @row_num:=IF(s1.avg_speed = @last_avg_speed, @row_num, @origin_row_num+1) rank_no,
       @last_avg_speed:=s1.avg_speed last_avg_speed,
       @origin_row_num:=@origin_row_num+1 origin_row_num
FROM (
    SELECT SUM(avg_speed) avg_speed, SUM(max_speed) max_speed, user_id FROM workouts
        WHERE date_created LIKE '2019-12%'
        GROUP BY user_id
) s1, (SELECT @origin_row_num:=0, @row_num:=0, @last_avg_speed:=0) R
WHERE s1.avg_speed < 30 AND s1.max_speed < 50
ORDER BY s1.avg_speed DESC

create table workouts
(
    id int auto_increment
        primary key,
    user_id int not null,
    date_created date null,
    activity_type varchar(10) null,
    avg_speed float null,
    max_speed float null
);
DELETE FROM workouts WHERE user_id IN (1, 2, 3)
INSERT INTO workouts (id, user_id, date_created, activity_type, avg_speed, max_speed)
VALUES (NULL, 1, '2019-12-01', 'Walk', 1, 10),
       (NULL, 1, '2019-12-02', 'Walk', 1, 10),
       (NULL, 1, '2019-12-03', 'Walk', 1, 10),
       (NULL, 1, '2019-12-04', 'Walk', 1, 10),

       (NULL, 2, '2019-12-01', 'Walk', 1, 10),
       (NULL, 2, '2019-12-02', 'Walk', 5, 10),
       (NULL, 2, '2019-12-03', 'Walk', 1, 10),
       (NULL, 2, '2019-12-04', 'Walk', 1, 10),

       (NULL, 3, '2019-12-01', 'Walk', 1, 10),
       (NULL, 3, '2019-12-02', 'Walk', 5, 10),
       (NULL, 3, '2019-12-03', 'Walk', 1, 10),
       (NULL, 3, '2019-12-04', 'Walk', 1, 10);

SELECT s1.avg_speed, s1.max_speed, s1.user_id,
       @row_num:=IF(s1.avg_speed = @last_avg_speed, @row_num, @origin_row_num+1) rank_no,
       @last_avg_speed:=s1.avg_speed last_avg_speed,
       @origin_row_num:=@origin_row_num+1 origin_row_num
FROM (
    SELECT SUM(avg_speed) avg_speed, SUM(max_speed) max_speed, user_id FROM workouts
        WHERE date_created LIKE '2019-12%'
        GROUP BY user_id
) s1, (SELECT @origin_row_num:=0, @row_num:=0, @last_avg_speed:=0) R
WHERE s1.avg_speed < 30 AND s1.max_speed < 50
ORDER BY s1.avg_speed DESC


|--------------------------------------------------|
|avg_speed|max_speed|user_id|rank_no|last_avg_speed|
|--------------------------------------------------|
|8        |40       |2      |1      |8             |
|--------------------------------------------------|
|8        |40       |3      |1      |8             |
|--------------------------------------------------|
|4        |40       |1      |3      |4             |
|--------------------------------------------------|