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Asked: 2026-05-27T07:31:31+00:00

I have a table of data that looks like +———+———–+————+————+ | u_id | a_id

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I have a table of data that looks like

+---------+-----------+------------+------------+
| u_id    | a_id      | count      | weighted   |
+---------+-----------+------------+------------+
|       1 |         1 |         17 |  0.0521472 |
|       1 |         2 |         80 |   0.245399 |
|       1 |         3 |          2 | 0.00613497 |
|       1 |         4 |          1 | 0.00306748 |
|       1 |         5 |          1 | 0.00306748 |
|       1 |         6 |         20 |  0.0613497 |
|       1 |         7 |          3 | 0.00920245 |
|       1 |         8 |        100 |   0.306748 |
|       1 |         9 |        100 |   0.306748 |
|       1 |        10 |          2 | 0.00613497 |
|       2 |         1 |          1 | 0.00327869 |
|       2 |         2 |          1 | 0.00327869 |
|       2 |         3 |        100 |   0.327869 |
|       2 |         4 |        200 |   0.655738 |
|       2 |         5 |          1 | 0.00327869 |
|       2 |         6 |          1 | 0.00327869 |
|       2 |         7 |          0 |          0 |
|       2 |         8 |          0 |          0 |
|       2 |         9 |          0 |          0 |
|       2 |        10 |          1 | 0.00327869 |
|       3 |         1 |         15 |   0.172414 |
|       3 |         2 |         40 |    0.45977 |
|       3 |         3 |          0 |          0 |
|       3 |         4 |          0 |          0 |
|       3 |         5 |          0 |          0 |
|       3 |         6 |         10 |   0.114943 |
|       3 |         7 |          1 |  0.0114943 |
|       3 |         8 |         20 |   0.229885 |
|       3 |         9 |          0 |          0 |
|       3 |        10 |          1 |  0.0114943 |
+---------+-----------+------------+------------+

which can be recreated with 

CREATE TABLE IF NOT EXISTS tablename ( u_id INT NOT NULL,   a_id MEDIUMINT NOT NULL,s_count MEDIUMINT NOT NULL,  weighted FLOAT NOT NULL)ENGINE=INNODB;
INSERT INTO tablename (u_id,a_id,s_count,weighted ) VALUES (1,1,17,0.0521472392638),(1,2,80,0.245398773006),(1,3,2,0.00613496932515),(1,4,1,0.00306748466258),(1,5,1,0.00306748466258),(1,6,20,0.0613496932515),(1,7,3,0.00920245398773),(1,8,100,0.306748466258),(1,9,100,0.306748466258),(1,10,2,0.00613496932515),(2,1,1,0.00327868852459),(2,2,1,0.00327868852459),(2,3,100,0.327868852459),(2,4,200,0.655737704918),(2,5,1,0.00327868852459),(2,6,1,0.00327868852459),(2,7,0,0.0),(2,8,0,0.0),(2,9,0,0.0),(2,10,1,0.00327868852459),(3,1,15,0.172413793103),(3,2,40,0.459770114943),(3,3,0,0.0),(3,4,0,0.0),(3,5,0,0.0),(3,6,10,0.114942528736),(3,7,1,0.0114942528736),(3,8,20,0.229885057471),(3,9,0,0.0),(3,10,1,0.0114942528736);

the simple version of what I want to do is

SELECT u_id, SUM(weighted) as total FROM tablename WHERE a_id IN (1,2,3,4,5,6,7,8,9) GROUP BY u_id ORDER BY total DESC;

which gives the results

+---------+-------------------+
| u_id    | total             |
+---------+-------------------+
|       2 | 0.996721301227808 |
|       1 | 0.993865059688687 |
|       3 | 0.988505747169256 |
+---------+-------------------+

the more complex version I want to do is to weight the results based on the count from a u_id, so taking the results from 

query 1
SELECT count FROM tablename WHERE u_id = 1

would return 

+-----------+------------+
| a_id      | count      |
+-----------+------------+
|         1 |         17 |
|         2 |         80 |
|         3 |          2 |
|         4 |          1 |
|         5 |          1 |
|         6 |         20 |
|         7 |          3 |
|         8 |        100 |
|         9 |        100 |
|        10 |          2 |
+-----------+------------+

which would then be used to calculate the sum, should give

+---------+-------------------+
| u_id    | total             |
+---------+-------------------+
|       1 | 83.15337423       |
|       3 | 65.05747126       |
|       2 | 1.704918033       |
+---------+-------------------+

eg calculating with u_id =3 would be done by

sum(count value from query 1 * weighting value for u_id = 3 for each a_id)

17 *    0.172413793 =2.931034483
80 *    0.459770115 =36.7816092
2   *   0           =0
1   *   0           =0
1   *   0           =0
20  * 0.114942529   =2.298850575
3   * 0.011494253   =0.034482759
100 * 0.229885057   =22.98850575
100 *   0           =0
2   * 0.011494253   =0.022988506
sums up to              65.05747126

How can I do this with a single query?

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1 Answer

  1. Editorial Team

    You can do this using a subquery. The query that gets the counts for a particular id is:

    SELECT a_id, s_count FROM tablename WHERE u_id = <id>

    You will want to left join the result of this subquery into the main table, then sub over the appropriate multiplication, like so:

    SELECT u_id, SUM(counts.s_count * tablename.weighted) AS total FROM tablename 
LEFT JOIN (SELECT a_id, s_count FROM tablename WHERE u_id = 1) counts
  ON tablename.a_id = counts.a_id
GROUP BY u_id
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