링크: https://leetcode.com/problems/queries-quality-and-percentage/
Table: Queries
+-------------+---------+
| 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.
Theposition column has a value from1 to500.
Therating column has a value from1 to5. Query withrating 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
목표: query_name
, quality
, poor_query_percentage
를 구하라.
rating
과 position
사이의 비율의 평균SELECT
query_name,
ROUND(SUM(rating / position) / COUNT(*), 2) quality,
ROUND(SUM(CASE WHEN rating < 3 THEN 1 ELSE 0 END) / COUNT(*) * 100, 2) poor_query_percentage
FROM Queries
WHERE query_name IS NOT NULL
GROUP BY query_name
다른 부분은 크게 문제가 없고, SELECT 절에 대한 설명만 하면 될 거 같다.
SELECT절 - query_name
으로 GROUP BY 절에서 그룹화 한 이후
SELECT
query_name,
ROUND(SUM(rating / position) / COUNT(*), 2) quality,
ROUND(SUM(CASE WHEN rating < 3 THEN 1 ELSE 0 END) / COUNT(*) * 100, 2) poor_query_percentage
rating
과 position
사이의 비율의 평균으로 정의하고 있다.