Exercise 2：262. Trips and Users

1 Description

Table: Trips

+-------------+----------+
| Column Name | Type     |
+-------------+----------+
| id          | int      |
| client_id   | int      |
| driver_id   | int      |
| city_id     | int      |
| status      | enum     |
| request_at  | date     |     
+-------------+----------+
id is the primary key for this table.
The table holds all taxi trips. Each trip has a unique id, while client_id and driver_id are foreign keys to the users_id at the Users table.
Status is an ENUM type of ('completed', 'cancelled_by_driver', 'cancelled_by_client').

Table: Users

+-------------+----------+
| Column Name | Type     |
+-------------+----------+
| users_id    | int      |
| banned      | enum     |
| role        | enum     |
+-------------+----------+
users_id is the primary key for this table.
The table holds all users. Each user has a unique users_id, and role is an ENUM type of ('client', 'driver', 'partner').
banned is an ENUM type of ('Yes', 'No').

The cancellation rate is computed by dividing the number of canceled (by client or driver) requests with unbanned users by the total number of requests with unbanned users on that day.

Write a SQL query to find the cancellation rate of requests with unbanned users (both client and driver must not be banned) each day between "2013-10-01" and "2013-10-03". Round Cancellation Rate to two decimal points.

Return the result table in any order.

The query result format is in the following example.

Example 1:

Input: 
Trips table:
+----+-----------+-----------+---------+---------------------+------------+
| id | client_id | driver_id | city_id | status              | request_at |
+----+-----------+-----------+---------+---------------------+------------+
| 1  | 1         | 10        | 1       | completed           | 2013-10-01 |
| 2  | 2         | 11        | 1       | cancelled_by_driver | 2013-10-01 |
| 3  | 3         | 12        | 6       | completed           | 2013-10-01 |
| 4  | 4         | 13        | 6       | cancelled_by_client | 2013-10-01 |
| 5  | 1         | 10        | 1       | completed           | 2013-10-02 |
| 6  | 2         | 11        | 6       | completed           | 2013-10-02 |
| 7  | 3         | 12        | 6       | completed           | 2013-10-02 |
| 8  | 2         | 12        | 12      | completed           | 2013-10-03 |
| 9  | 3         | 10        | 12      | completed           | 2013-10-03 |
| 10 | 4         | 13        | 12      | cancelled_by_driver | 2013-10-03 |
+----+-----------+-----------+---------+---------------------+------------+
Users table:
+----------+--------+--------+
| users_id | banned | role   |
+----------+--------+--------+
| 1        | No     | client |
| 2        | Yes    | client |
| 3        | No     | client |
| 4        | No     | client |
| 10       | No     | driver |
| 11       | No     | driver |
| 12       | No     | driver |
| 13       | No     | driver |
+----------+--------+--------+
Output: 
+------------+-------------------+
| Day        | Cancellation Rate |
+------------+-------------------+
| 2013-10-01 | 0.33              |
| 2013-10-02 | 0.00              |
| 2013-10-03 | 0.50              |
+------------+-------------------+
Explanation: 
On 2013-10-01:
  - There were 4 requests in total, 2 of which were canceled.
  - However, the request with Id=2 was made by a banned client (User_Id=2), so it is ignored in the calculation.
  - Hence there are 3 unbanned requests in total, 1 of which was canceled.
  - The Cancellation Rate is (1 / 3) = 0.33
On 2013-10-02:
  - There were 3 requests in total, 0 of which were canceled.
  - The request with Id=6 was made by a banned client, so it is ignored.
  - Hence there are 2 unbanned requests in total, 0 of which were canceled.
  - The Cancellation Rate is (0 / 2) = 0.00
On 2013-10-03:
  - There were 3 requests in total, 1 of which was canceled.
  - The request with Id=8 was made by a banned client, so it is ignored.
  - Hence there are 2 unbanned request in total, 1 of which were canceled.
  - The Cancellation Rate is (1 / 2) = 0.50

2 Create Table and insert into values

create table if not exists leetcode.ex_262_trips
(
 id string, 
  client_id string, 
  driver_id string, 
  city_id string, 
  status string, 
  request_at date
)  stored as orc ;

INSERT INTO table leetcode.ex_262_trips  VALUES
( '1'  , '1'         , '10'        , '1'       , 'completed'           , '2013-10-01' ),
( '2'  , '2'         , '11'        , '1'       , 'cancelled_by_driver' , '2013-10-01' ),
( '3'  , '3'         , '12'        , '6'       , 'completed'           , '2013-10-01' ),
( '4'  , '4'         , '13'        , '6'       , 'cancelled_by_client' , '2013-10-01' ),
( '5'  , '1'         , '10'        , '1'       , 'completed'           , '2013-10-02' ),
( '6'  , '2'         , '11'        , '6'       , 'completed'           , '2013-10-02' ),
( '7'  , '3'         , '12'        , '6'       , 'completed'           , '2013-10-02' ),
( '8'  , '2'         , '12'        , '12'      , 'completed'           , '2013-10-03' ),
( '9'  , '3'         , '10'        , '12'      , 'completed'           , '2013-10-03' ),
( '10' , '4'         , '13'        , '12'      , 'cancelled_by_driver' , '2013-10-03' )

create table if not exists leetcode.ex_262_users
(users_id string, 
 banned string, 
 role string
) stored as orc;

INSERT INTO table leetcode.ex_262_users  VALUES
('1'        , 'No'     , 'client' ),
('2'        , 'Yes'    , 'client' ),
('3'        , 'No'     , 'client' ),
('4'        , 'No'     , 'client' ),
('10'       , 'No'     , 'driver' ),
('11'       , 'No'     , 'driver' ),
('12'       , 'No'     , 'driver' ),
('13'       , 'No'     , 'driver' )