Help optimize SQL query

Hi, I need some help with this problem. I work in a web application and I use sqlite for the database. Can someone help me with one query from the database, which should be optimized == fast =)

I have a table x:

ID | ID_DISH | ID_INGREDIENT
 1 | 1       | 2
 2 | 1       | 3
 3 | 1       | 8
 4 | 1       | 12

 5 | 2       | 13
 6 | 2       | 5
 7 | 2       | 3

 8 | 3       | 5
 9 | 3       | 8
 10| 3       | 2

.... ID_DISH is the identifier of different dishes, ID_INGREDIENT is the ingredient from which the dish is made: therefore, in my case, the dish with identifier 1 is made with ingredients with idi 2,3

There are over 15,000 rows in this table, and my question is:

I need a query that will retrieve strings where I can find the identifiers of dishes sorted by count of the number of ASC debris that I added to my algorithm.

examle: foo (2,4) there will be lines in the following order:

ID_DISH | count(stillMissing)
    10  |   2
    1   |   3    

A dish with id 10 contains ingredients with id 2 and 4 and does not yet have 2, then

My request:

SELECT
    t2.ID_dish,
    (SELECT COUNT(*) as c FROM dishIngredient as t1
     WHERE t1.ID_ingredient NOT IN (2,4)
     AND t1.ID_dish = t2.ID_dish
     GROUP BY ID_dish) as c
FROM dishIngredient as t2
WHERE t2.ID_ingredient IN (2,4)
GROUP BY t2.ID_dish
ORDER BY c ASC

, ....

+3
2
select ID_DISH, sum(ID_INGREDIENT not in (2, 4)) stillMissing 
from x
group by ID_DISH
having stillMissing != count(*)
order by stillMissing 

, 5-20 80

+2

, SQL- sqlite.

SELECT DISTINCT T1.ID_DISH, COUNT(T1.ID_INGREDIENT) as COUNT
FROM dishIngredient as T1 LEFT JOIN dishIngredient as T2 
ON T1.ID_DISH = T2.ID_DISH
WHERE T2.ID_INGREDIENT IN (2,4)
GROUP BY T1.ID_DISH
ORDER BY T1.ID_DISH
+1

Source: https://habr.com/ru/post/1783939/


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