How to compare columns values with sum function in SQL? - php

Question

I have three tables :
mls_category
points_martix
mls_entry
My first table (mls_category) is like below:
*--------------------------------*
| cat_no | store_id | cat_value |
*--------------------------------*
| 10 | 101 | 1 |
| 11 | 101 | 4 |
*--------------------------------*
My second table (points_martix) is like below:
*----------------------------------------------------*
| pm_no | store_id | value_per_point | max_distance |
*----------------------------------------------------*
| 1 | 101 | 1 | 10 |
| 2 | 101 | 2 | 50 |
| 3 | 101 | 3 | 80 |
*----------------------------------------------------*
My third table (mls_entry) is like below:
*-------------------------------------------*
| user_id | category | distance | status |
*-------------------------------------------*
| 1 | 10 | 20 | approved |
| 1 | 10 | 30 | approved |
| 1 | 11 | 40 | approved |
*-------------------------------------------*
I am using the following query to show the sum of distance with some condition:
SELECT SUM(t1.totald/c.cat_value)
AS total_distance
FROM mls_category c
JOIN
(SELECT SUM(distance) totald, user_id, category
FROM mls_entry
WHERE user_id = 1
AND status = 'approved'
GROUP BY user_id, category) t1
ON c.cat_no = t1.category
This gives me sum 60 as total_distance, that is correct which I wanted.
Now, I want to include the third table (points_matrix) and want to compare my sum(60) is less than or equal to 80(max_distance) then my new value would be 60*3=180.
So, suppose my sum comes 10 then my new value will be 10*1=10 and if my sum comes 25 then my new value will be according to point matrix 25*2=50.

Answer 1

Yon can using MIN() to calculate what value_per_point you need, and the whole sql is like this:
SELECT MIN(b.value_per_point) * d.total_distance FROM points_matrix b
JOIN
(
SELECT store_id, sum(t1.totald/c.cat_value) as total_distance FROM mls_category c
JOIN
(
SELECT SUM(distance) totald, user_id, category FROM mls_entry
WHERE user_id= 1 AND status = 'approved' GROUP BY user_id, category
) t1 ON c.cat_no = t1.category
) d ON b.store_id = d.store_id AND b.max_distance >= d.total_distance

Answer 2

Use Correlated Subquery:
SELECT
dt.total_distance * dt.max_points
FROM (
SELECT SUM(t1.totald/c.cat_value) AS total_distance,
(
SELECT value_per_point
FROM points_martix
WHERE SUM(t1.totald/c.cat_value) >= max_distance
ORDER BY max_distance ASC LIMIT 1
) AS max_points
FROM mls_category AS c
JOIN (
SELECT SUM(distance) AS totald,
user_id,
category
FROM mls_entry
WHERE user_id= 1 AND
status = 'approved'
GROUP BY user_id, category
) AS t1 on c.cat_no = t1.category
) AS dt