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1211. Queries Quality and Percentage.sql
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67 lines (55 loc) · 2.43 KB
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-- Question
-- +-------------+---------+
-- | 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
-- Solution
select
query_name,
round(sum(rating/position)/count(query_name), 2) quality,
round(count(case when rating < 3 then 1 end)/count(query_name)*100, 2) poor_query_percentage
from Queries
where query_name is not null
group by query_name
order by query_name;