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The query and formula form the entire table, with new columns, where the new columns are formulas involving other conditional column values

EDIT: The formula should be the "value" column - the "value" column with the lowest user_id based on the category.

So row 2 will be 0.04 because the "value" column of the lowest "user_id" for category "A" is 0.01.

Feel sorry.

I want to retrieve everything from the table and add another column that involves a formula containing information based on other columns. This is the original form:

category user_id value
one 1 0.01
one 2 0.05
B 4 0.34
B 7 0.27

The new column must be the minimum value "user_id" of the "value" column minus the "category" of each row. So for the second row it will be (0.05 - 1) since the category is "A" and the lowest "user_id" of "A" is 1.

There are many more rows and columns, this is just an example.

What formula would I use?

Here is what I have so far, just to be able to demonstrate that I am able to create new columns, but without the correct formula:

CREATE TABLE new_table 
 AS (select * FROM table_1);
 
 ALTER TABLE new_table
 ADD COLUMN `new_column` DECIMAL(3,2)
 GENERATED ALWAYS AS (table_1.value-table_1.value) STORED;
 
 select * from new_table;

This obviously gives me the new column, but as 0 (because it subtracts itself).

What is the correct formula?

This is the architecture:

CREATE TABLE table_1 (
  `category` VARCHAR(2),
  `user_id` INT(2), 
  `value` DECIMAL(3,2)
 );
INSERT INTO table_1
(`category`, `user_id`, `value`)
VALUES
('A', 1, 0.01),
('A', 2, 0.05),
('B', 4, 0.34),
('B', 7, 0.27)
;

P粉178894235P粉178894235241 days ago844

reply all(2)I'll reply

  • P粉302160436

    P粉3021604362024-04-07 16:15:44

    In mysql 5.7 you can use subquery to achieve the goal, the view seems better than the new table, but since the select is equal, you can choose

    db<>violinhere

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  • P粉627027031

    P粉6270270312024-04-07 15:41:34

    mysql> create view new_table as 
      select category, user_id, value, 
        value - min(user_id) over (partition by category) as adjusted_value
      from table_1;
    
    mysql> select * from new_table;
    +----------+---------+-------+----------------+
    | category | user_id | value | adjusted_value |
    +----------+---------+-------+----------------+
    | A        |       1 |  0.01 |          -0.99 |
    | A        |       2 |  0.05 |          -0.95 |
    | B        |       4 |  0.34 |          -3.66 |
    | B        |       7 |  0.27 |          -3.73 |
    +----------+---------+-------+----------------+

    This uses window functions, meaning it requires MySQL 8.0, which is the current version of MySQL as of 2018.


    Reply to your comment: Use the value column from the lowest user_id in the category:

    mysql> create or replace view new_table as 
      select category, user_id, value, 
        value - first_value(value) over (partition by category order by user_id) as adjusted_value  
      from table_1;
    
    mysql> select * from new_table;
    +----------+---------+-------+----------------+
    | category | user_id | value | adjusted_value |
    +----------+---------+-------+----------------+
    | A        |       1 |  0.01 |           0.00 |
    | A        |       2 |  0.05 |           0.04 |
    | B        |       4 |  0.34 |           0.00 |
    | B        |       7 |  0.27 |          -0.07 |
    +----------+---------+-------+----------------+

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