Скачать или смотреть Leetcode HARD 1645 - RECURSIVE CTE SQL Explained - Hopper Company Queries 2 | Everyday Data Science

Question: https://leetcode.com/problems/hopper-...

SQL Schema:
Create table If Not Exists Drivers (driver_id int, join_date date)
Create table If Not Exists Rides (ride_id int, user_id int, requested_at date)
Create table If Not Exists AcceptedRides (ride_id int, driver_id int, ride_distance int, ride_duration int)
Truncate table Drivers
insert into Drivers (driver_id, join_date) values ('10', '2019-12-10')
insert into Drivers (driver_id, join_date) values ('8', '2020-1-13')
insert into Drivers (driver_id, join_date) values ('5', '2020-2-16')
insert into Drivers (driver_id, join_date) values ('7', '2020-3-8')
insert into Drivers (driver_id, join_date) values ('4', '2020-5-17')
insert into Drivers (driver_id, join_date) values ('1', '2020-10-24')
insert into Drivers (driver_id, join_date) values ('6', '2021-1-5')
Truncate table Rides
insert into Rides (ride_id, user_id, requested_at) values ('6', '75', '2019-12-9')
insert into Rides (ride_id, user_id, requested_at) values ('1', '54', '2020-2-9')
insert into Rides (ride_id, user_id, requested_at) values ('10', '63', '2020-3-4')
insert into Rides (ride_id, user_id, requested_at) values ('19', '39', '2020-4-6')
insert into Rides (ride_id, user_id, requested_at) values ('3', '41', '2020-6-3')
insert into Rides (ride_id, user_id, requested_at) values ('13', '52', '2020-6-22')
insert into Rides (ride_id, user_id, requested_at) values ('7', '69', '2020-7-16')
insert into Rides (ride_id, user_id, requested_at) values ('17', '70', '2020-8-25')
insert into Rides (ride_id, user_id, requested_at) values ('20', '81', '2020-11-2')
insert into Rides (ride_id, user_id, requested_at) values ('5', '57', '2020-11-9')
insert into Rides (ride_id, user_id, requested_at) values ('2', '42', '2020-12-9')
insert into Rides (ride_id, user_id, requested_at) values ('11', '68', '2021-1-11')
insert into Rides (ride_id, user_id, requested_at) values ('15', '32', '2021-1-17')
insert into Rides (ride_id, user_id, requested_at) values ('12', '11', '2021-1-19')
insert into Rides (ride_id, user_id, requested_at) values ('14', '18', '2021-1-27')
Truncate table AcceptedRides
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('10', '10', '63', '38')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('13', '10', '73', '96')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('7', '8', '100', '28')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('17', '7', '119', '68')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('20', '1', '121', '92')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('5', '7', '42', '101')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('2', '4', '6', '38')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('11', '8', '37', '43')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('15', '8', '108', '82')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('12', '8', '38', '34')
insert into AcceptedRides (ride_id, driver_id, ride_distance, ride_duration) values ('14', '1', '90', '74')

Pandas Schema:
data = [[10, '2019-12-10'], [8, '2020-1-13'], [5, '2020-2-16'], [7, '2020-3-8'], [4, '2020-5-17'], [1, '2020-10-24'], [6, '2021-1-5']]
drivers = pd.DataFrame(data, columns=['driver_id', 'join_date']).astype({'driver_id':'Int64', 'join_date':'datetime64[ns]'})
data = [[6, 75, '2019-12-9'], [1, 54, '2020-2-9'], [10, 63, '2020-3-4'], [19, 39, '2020-4-6'], [3, 41, '2020-6-3'], [13, 52, '2020-6-22'], [7, 69, '2020-7-16'], [17, 70, '2020-8-25'], [20, 81, '2020-11-2'], [5, 57, '2020-11-9'], [2, 42, '2020-12-9'], [11, 68, '2021-1-11'], [15, 32, '2021-1-17'], [12, 11, '2021-1-19'], [14, 18, '2021-1-27']]
rides = pd.DataFrame(data, columns=['ride_id', 'user_id', 'requested_at']).astype({'ride_id':'Int64', 'user_id':'Int64', 'requested_at':'datetime64[ns]'})
data = [[10, 10, 63, 38], [13, 10, 73, 96], [7, 8, 100, 28], [17, 7, 119, 68], [20, 1, 121, 92], [5, 7, 42, 101], [2, 4, 6, 38], [11, 8, 37, 43], [15, 8, 108, 82], [12, 8, 38, 34], [14, 1, 90, 74]]
accepted_rides = pd.DataFrame(data, columns=['ride_id', 'driver_id', 'ride_distance', 'ride_duration']).astype({'ride_id':'Int64', 'driver_id':'Int64', 'ride_distance':'Int64', 'ride_duration':'Int64'})

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