Column Name | Type |
---|---|
query_name | varchar |
result | varchar |
position | int |
rating | int |
This table may have duplicate rows.
This table contains information collected from some queries on a database.
The position column has a value from 1 to 500.
The rating column has a value from 1 to 5. Query with rating less than 3 is a poor query.
We define query quality as:
The average of the ratio between query rating and its position.
We also define poor query percentage as:
The percentage of all queries with rating less than 3.
Write a solution to find each query_name, the quality and poor_query_percentage.
Both quality and poor_query_percentage should be rounded to 2 decimal places.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input:
Queries table:
query_name | result | position | rating |
---|---|---|---|
Dog | Golden Retriever | 1 | 5 |
Dog | German Shepherd | 2 | 5 |
Dog | Mule | 200 | 1 |
Cat | Shirazi | 5 | 2 |
Cat | Siamese | 3 | 3 |
Cat | Sphynx | 7 | 4 |
Output:
query_name | quality | poor_query_percentage |
---|---|---|
Dog | 2.50 | 33.33 |
Cat | 0.66 | 33.33 |
Explanation:
Dog queries quality is ((5 / 1) + (5 / 2) + (1 / 200)) / 3 = 2.50
Dog queries poor_ query_percentage is (1 / 3) * 100 = 33.33
Cat queries quality equals ((2 / 5) + (3 / 3) + (4 / 7)) / 3 = 0.66
Cat queries poor_ query_percentage is (1 / 3) * 100 = 33.33
SELECT query_name ,
ROUND(AVG(rating/position) ,2) AS quality ,
ROUND(SUM(IF(rating <3 , 1, 0)) / COUNT(*) * 100, 2) AS poor_query_percentage
FROM Queries
WHERE query_name IS NOT NULL
GROUP BY query_name