Solutions for SQL 50 Study Plan on LeetCode
1757 - Recyclable and Low Fat Products
SELECT product_id
FROM Products
WHERE low_fats = 'Y'
AND recyclable = 'Y'SELECT name
FROM Customer
WHERE referee_id != 2 OR referee_id IS nullSELECT name, population, area
FROM WORLD
WHERE area >= 3000000
OR population >= 25000000SELECT DISTINCT author_id as id
FROM Views
WHERE viewer_id >= 1
AND author_id = viewer_id
ORDER BY author_idSELECT tweet_id
FROM Tweets
WHERE length(content) > 151378 - Replace Employee ID With The Unique Identifier
SELECT unique_id, name
FROM Employees e
LEFT JOIN EmployeeUNI eu
ON e.id = eu.id1068 - Product Sales Analysis I
SELECT product_name, year, price
FROM Sales s
LEFT JOIN Product p
ON s.product_id = p.product_id1581 - Customer Who Visited but Did Not Make Any Transactions
SELECT customer_id, COUNT(*) as count_no_trans
FROM Visits
WHERE visit_id NOT IN (SELECT DISTINCT visit_id FROM Transactions)
GROUP BY customer_idSELECT w1.id
FROM Weather w1, Weather w2
WHERE DATEDIFF(w1.recordDate, w2.recordDate) = 1
AND w1.temperature > w2.temperature
-- OR
SELECT w1.id
FROM Weather w1, Weather w2
WHERE w1.temperature > w2.temperature
AND SUBDATE(w1.recordDate, 1) = w2.recordDate1661 - Average Time of Process per Machine
SELECT machine_id, ROUND(AVG(end - start), 3) AS processing_time
FROM
(SELECT machine_id, process_id,
MAX(CASE WHEN activity_type = 'start' THEN timestamp END) AS start,
MAX(CASE WHEN activity_type = 'end' THEN timestamp END) AS end
FROM Activity
GROUP BY machine_id, process_id) AS subq
GROUP BY machine_idSELECT name, bonus
FROM Employee e
LEFT JOIN Bonus b
ON e.empId = b.empId
WHERE bonus < 1000
OR bonus IS NULL1280 - Students and Examinations
SELECT a.student_id, a.student_name, b.subject_name, COUNT(c.subject_name) AS attended_exams
FROM Students a
JOIN Subjects b
LEFT JOIN Examinations c
ON a.student_id = c.student_id
AND b.subject_name = c.subject_name
GROUP BY 1, 3
ORDER BY 1, 3 570. Managers with at Least 5 Direct Reports
SELECT name
FROM Employee
WHERE id IN
(SELECT managerId
FROM Employee
GROUP BY managerId
HAVING COUNT(*) >= 5
)
-- OR
SELECT a.name
FROM Employee a
JOIN Employee b
WHERE a.id = b.managerId
GROUP BY b.managerId
HAVING COUNT(*) >= 5SELECT
s.user_id,
ROUND(
COALESCE(
SUM(
CASE WHEN ACTION = 'confirmed' THEN 1 END
) / COUNT(*), 0),2)
AS confirmation_rate
FROM Signups s
LEFT JOIN Confirmations c
ON s.user_id = c.user_id
GROUP BY s.user_id; -- odd id, "boring", rating desc
SELECT *
FROM Cinema
WHERE id % 2 <> 0
AND description <> "boring"
ORDER BY rating DESC-- avg(selling), round 2
SELECT p.product_id,
ROUND(SUM(price * units) / SUM(units), 2) AS average_price
FROM Prices p
LEFT JOIN UnitsSold s
ON p.product_id = s.product_id
AND purchase_date BETWEEN start_date AND end_date
GROUP BY p.product_id-- avg(exp_yr), round 2, by project
SELECT project_id, ROUND(AVG(experience_years), 2) average_years
FROM Project p
LEFT JOIN Employee e
ON p.employee_id = e.employee_id
GROUP BY project_id1633. Percentage of Users Attended a Contest
-- % desc, contest_id asc, round 2
SELECT r.contest_id,
ROUND(COUNT(DISTINCT r.user_id) * 100 / (SELECT COUNT(DISTINCT user_id) FROM Users), 2) AS percentage
FROM Register r
GROUP BY r.contest_id
ORDER BY percentage DESC, r.contest_id ASC;1211 Queries Quality and Percentage
--quality - avg(rating/position), poor query % - %(rating < 3), round 2
SELECT query_name,
ROUND(AVG(rating/position), 2) AS quality,
ROUND(SUM(IF(rating < 3, 1, 0)) * 100/ COUNT(rating), 2) AS poor_query_percentage
FROM Queries
GROUP BY query_name
-- OR
SELECT query_name,
ROUND(AVG(rating/position), 2) AS quality,
ROUND(SUM(
CASE WHEN rating < 3 THEN 1 ELSE 0 END
) * 100/ COUNT(rating), 2) AS poor_query_percentage
FROM Queries
GROUP BY query_name-- month, country, count(trans), total(amt), count(approved_trans), total(amt)
SELECT DATE_FORMAT(trans_date, '%Y-%m') month, country,
COUNT(state) trans_count,
SUM(IF(state = 'approved', 1, 0)) approved_count,
SUM(amount) trans_total_amount,
SUM(IF(state = 'approved', amount, 0)) approved_total_amount
FROM Transactions
GROUP BY 1, 2
-- OR
SELECT DATE_FORMAT(trans_date, '%Y-%m') month, country,
COUNT(state) trans_count,
SUM(CASE WHEN state = 'approved' THEN 1 ELSE 0 END) approved_count,
SUM(amount) trans_total_amount,
SUM(CASE WHEN state = 'approved' THEN amount ELSE 0 END) approved_total_amount
FROM Transactions
GROUP BY 1, 21174. Immediate Food Delivery II
SELECT
ROUND((COUNT(CASE WHEN d.order_date = d.customer_pref_delivery_date THEN 1 END) / COUNT(*)) * 100, 2) immediate_percentage
FROM Delivery d
WHERE d.order_date = (
SELECT
MIN(order_date)
FROM Delivery
WHERE customer_id = d.customer_id
);
-- OR
SELECT ROUND(AVG(temp.order_date=temp.customer_pref_delivery_date) * 100, 2) immediate_percentage
FROM (
SELECT *, RANK() OVER(partition by customer_id ORDER BY order_date) od
FROM Delivery) temp
WHERE temp.od = 1