国庆期间近7日日均取消订单量_牛客题霸

现有用户打车记录表tb_get_car_record id uid city event_time end_time order_id 1 101 北京 2021-09-25 08:28:10 2021-09-25 08:30:00 9011 2 102 北京 2021-09-25 09:00:30 2021-09-25 09:01:00 9012 3 103 北京 2021-09-26 07:59:00 2021-09-26 08:01:00 9013 4 104 北京 2021-09-26 07:59:00 2021-09-26 08:01:00 9023 5 104 北京 2021-09-27 07:59:20 2021-09-27 08:01:00 9014 6 105 北京 2021-09-28 08:00:00 2021-09-28 08:02:10 9015 7 106 北京 2021-09-29 17:58:00 2021-09-29 18:01:00 9016 8 107 北京 2021-09-30 11:00:00 2021-09-30 11:01:00 9017 9 108 北京 2021-09-30 21:00:00 2021-09-30 21:01:00 9018 10 102 北京 2021-10-01 09:00:30 2021-10-01 09:01:00 9002 11 106 北京 2021-10-01 17:58:00 2021-10-01 18:01:00 9006 12 101 北京 2021-10-02 08:28:10 2021-10-02 08:30:00 9001 13 107 北京 2021-10-02 11:00:00 2021-10-02 11:01:00 9007 14 108 北京 2021-10-02 21:00:00 2021-10-02 21:01:00 9008 15 103 北京 2021-10-02 07:59:00 2021-10-02 08:01:00 9003 16 104 北京 2021-10-03 07:59:20 2021-10-03 08:01:00 9004 17 109 北京 2021-10-03 18:00:00 2021-10-03 18:01:00 9009 （uid-用户ID, city-城市, event_time-打车时间, end_time-打车结束时间, order_id-订单号）打车订单表tb_get_car_order id order_id uid driver_id order_time start_time finish_time mileage fare grade 1 9011 101 211 2021-09-25 08:30:00 2021-09-25 08:31:00 2021-09-25 08:54:00 10 35 5 2 9012 102 211 2021-09-25 09:01:00 2021-09-25 09:01:50 2021-09-25 09:28:00 11 32 5 3 9013 103 212 2021-09-26 08:01:00 2021-09-26 08:03:00 2021-09-26 08:27:00 12 31 4 4 9023 104 213 2021-09-26 08:01:00 NULL 2021-09-26 08:27:00 NULL NULL NULL 5 9014 104 212 2021-09-27 08:01:00 2021-09-27 08:04:00 2021-09-27 08:21:00 11 31 5 6 9015 105 212 2021-09-28 08:02:10 2021-09-28 08:04:10 2021-09-28 08:25:10 12 31 4 7 9016 106 213 2021-09-29 18:01:00 2021-09-2 918:02:10 2021-09-29 18:23:00 11 39 4 8 9017 107 213 2021-09-3011:01:00 2021-09-30 11:01:40 2021-09-30 11:31:00 11 38 5 9 9018 108 214 2021-09-30 21:01:00 2021-09-30 21:02:50 2021-09-30 21:21:00 14 38 5 10 9002 102 202 2021-10-01 09:01:00 2021-10-01 0 9:06:00 2021-10-01 09:31:00 10 41.5 5 11 9006 106 203 2021-10-0118:01:00 2021-10-01 18:09:00 2021-10-01 18:31:00 8 25.5 4 12 9001 101 202 2021-10-02 08:30:00 NULL 2021-10-02 08:31:00 NULL NULL NULL 13 9007 107 203 2021-10-02 11:01:00 2021-10-02 11:07:00 2021-10-02 11:31:00 9.9 30 5 14 9008 108 204 2021-10-02 21:01:00 2021-10-02 21:10:00 2021-10-02 21:31:00 13.2 38 4 15 9003 103 202 2021-10-02 08:01:00 2021-10-02 08:15:00 2021-10-02 08:31:00 11 41.5 4 16 9004 104 202 2021-10-03 08:01:00 2021-10-03 08:13:00 2021-10-03 08:31:00 7.5 22 4 17 9009 109 204 2021-10-0318:01:00 NULL 2021-10-03 18:51:00 NULL NULL NULL （order_id-订单号, uid-用户ID, driver_id-司机ID, order_time-接单时间, start_time-开始计费的上车时间, finish_time-订单完成时间, mileage-行驶里程数, fare-费用, grade-评分）场景逻辑说明：用户提交打车请求后，在用户打车记录表生成一条打车记录，order_id-订单号设为null；当有司机接单时，在打车订单表生成一条订单，填充order_time-接单时间及其左边的字段，start_time-开始计费的上车时间及其右边的字段全部为null，并把order_id-订单号和order_time-接单时间（end_time-打车结束时间）写入打车记录表；若一直无司机接单，超时或中途用户主动取消打车，则记录end_time-打车结束时间。若乘客上车前，乘客或司机点击取消订单，会将打车订单表对应订单的finish_time-订单完成时间填充为取消时间，其余字段设为null。当司机接上乘客时，填充订单表中该start_time-开始计费的上车时间。当订单完成时填充订单完成时间、里程数、费用；评分设为null，在用户给司机打1~5星评价后填充。问题：请统计国庆头3天里，每天的近7日日均订单完成量和日均订单取消量，按日期升序排序。结果保留2位小数。输出示例：示例输出如下 dt finish_num_7d cancel_num_7d 2021-10-01 1.43 0.14 2021-10-02 1.57 0.29 2021-10-03 1.57 0.29 解释： 2021年9月25到10月3日每天的订单完成量为：2、1、1、1、1、2、2、3、1；每天的订单取消量为：0、1、0、0、0、0、0、1、1；因此10.1到10.3期间的近7日订单完成量分别为10、11、11，因此日均订单完成量为：1.43、1.57、1.57；近7日订单取消量分别为1、2、2，因此日均订单取消量为0.14、0.29、0.29；

示例1

输入

DROP TABLE IF EXISTS tb_get_car_record,tb_get_car_order;
CREATE TABLE tb_get_car_record (
    id INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
    uid INT NOT NULL COMMENT '用户ID',
    city VARCHAR(10) NOT NULL COMMENT '城市',
    event_time datetime COMMENT '打车时间',
    end_time datetime COMMENT '打车结束时间',
    order_id INT COMMENT '订单号'
) CHARACTER SET utf8 COLLATE utf8_bin;

CREATE TABLE tb_get_car_order (
    id INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
    order_id INT NOT NULL COMMENT '订单号',
    uid INT NOT NULL COMMENT '用户ID',
    driver_id INT NOT NULL COMMENT '司机ID',
    order_time datetime COMMENT '接单时间',
    start_time datetime COMMENT '开始计费的上车时间',
    finish_time datetime COMMENT '订单结束时间',
    mileage FLOAT COMMENT '行驶里程数',
    fare FLOAT COMMENT '费用',
    grade TINYINT COMMENT '评分'
) CHARACTER SET utf8 COLLATE utf8_bin;

INSERT INTO tb_get_car_record(uid, city, event_time, end_time, order_id) VALUES
 (101, '北京', '2021-09-25 08:28:10', '2021-09-25 08:30:00', 9011),
 (102, '北京', '2021-09-25 09:00:30', '2021-09-25 09:01:00', 9012),
 (103, '北京', '2021-09-26 07:59:00', '2021-09-26 08:01:00', 9013),
 (104, '北京', '2021-09-26 07:59:00', '2021-09-26 08:01:00', 9023),
 (104, '北京', '2021-09-27 07:59:20', '2021-09-27 08:01:00', 9014),
 (105, '北京', '2021-09-28 08:00:00', '2021-09-28 08:02:10', 9015),
 (106, '北京', '2021-09-29 17:58:00', '2021-09-29 18:01:00', 9016),
 (107, '北京', '2021-09-30 11:00:00', '2021-09-30 11:01:00', 9017),
 (108, '北京', '2021-09-30 21:00:00', '2021-09-30 21:01:00', 9018),
 (102, '北京', '2021-10-01 09:00:30', '2021-10-01 09:01:00', 9002),
 (106, '北京', '2021-10-01 17:58:00', '2021-10-01 18:01:00', 9006),
 (101, '北京', '2021-10-02 08:28:10', '2021-10-02 08:30:00', 9001),
 (107, '北京', '2021-10-02 11:00:00', '2021-10-02 11:01:00', 9007),
 (108, '北京', '2021-10-02 21:00:00', '2021-10-02 21:01:00', 9008),
 (103, '北京', '2021-10-02 07:59:00', '2021-10-02 08:01:00', 9003),
 (104, '北京', '2021-10-03 07:59:20', '2021-10-03 08:01:00', 9004),
 (109, '北京', '2021-10-03 18:00:00', '2021-10-03 18:01:00', 9009);

INSERT INTO tb_get_car_order(order_id, uid, driver_id, order_time, start_time, finish_time, mileage, fare, grade) VALUES
 (9011, 101, 211, '2021-09-25 08:30:00', '2021-09-25 08:31:00', '2021-09-25 08:54:00', 10, 35, 5),
 (9012, 102, 211, '2021-09-25 09:01:00', '2021-09-25 09:01:50', '2021-09-25 09:28:00', 11, 32, 5),
 (9013, 103, 212, '2021-09-26 08:01:00', '2021-09-26 08:03:00', '2021-09-26 08:27:00', 12, 31, 4),
 (9023, 104, 213, '2021-09-26 08:01:00', null, '2021-09-26 08:27:00', null, null, null),
 (9014, 104, 212, '2021-09-27 08:01:00', '2021-09-27 08:04:00', '2021-09-27 08:21:00', 11, 31, 5),
 (9015, 105, 212, '2021-09-28 08:02:10', '2021-09-28 08:04:10', '2021-09-28 08:25:10', 12, 31, 4),
 (9016, 106, 213, '2021-09-29 18:01:00', '2021-09-29 18:02:10', '2021-09-29 18:23:00', 11, 39, 4),
 (9017, 107, 213, '2021-09-30 11:01:00', '2021-09-30 11:01:40', '2021-09-30 11:31:00', 11, 38, 5),
 (9018, 108, 214, '2021-09-30 21:01:00', '2021-09-30 21:02:50', '2021-09-30 21:21:00', 14, 38, 5),
 (9002, 102, 202, '2021-10-01 09:01:00', '2021-10-01 09:06:00', '2021-10-01 09:31:00', 10.0, 41.5, 5),
 (9006, 106, 203, '2021-10-01 18:01:00', '2021-10-01 18:09:00', '2021-10-01 18:31:00', 8.0, 25.5, 4),
 (9001, 101, 202, '2021-10-02 08:30:00', null, '2021-10-02 08:31:00', null, null, null),
 (9007, 107, 203, '2021-10-02 11:01:00', '2021-10-02 11:07:00', '2021-10-02 11:31:00', 9.9, 30, 5),
 (9008, 108, 204, '2021-10-02 21:01:00', '2021-10-02 21:10:00', '2021-10-02 21:31:00', 13.2, 38, 4),
 (9003, 103, 202, '2021-10-02 08:01:00', '2021-10-02 08:15:00', '2021-10-02 08:31:00', 11.0, 41.5, 4),
 (9004, 104, 202, '2021-10-03 08:01:00', '2021-10-03 08:13:00', '2021-10-03 08:31:00', 7.5, 22, 4),
 (9009, 109, 204, '2021-10-03 18:01:00', null, '2021-10-03 18:51:00', null, null, null);

输出

2021-10-01|1.43|0.14
2021-10-02|1.57|0.29
2021-10-03|1.57|0.29

DROP TABLE IF EXISTS tb_get_car_record,tb_get_car_order;
CREATE TABLE tb_get_car_record (
    id INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
    uid INT NOT NULL COMMENT '用户ID',
    city VARCHAR(10) NOT NULL COMMENT '城市',
    event_time datetime COMMENT '打车时间',
    end_time datetime COMMENT '打车结束时间',
    order_id INT COMMENT '订单号'
) CHARACTER SET utf8 COLLATE utf8_bin;

CREATE TABLE tb_get_car_order (
    id INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
    order_id INT NOT NULL COMMENT '订单号',
    uid INT NOT NULL COMMENT '用户ID',
    driver_id INT NOT NULL COMMENT '司机ID',
    order_time datetime COMMENT '接单时间',
    start_time datetime COMMENT '开始计费的上车时间',
    finish_time datetime COMMENT '订单结束时间',
    mileage FLOAT COMMENT '行驶里程数',
    fare FLOAT COMMENT '费用',
    grade TINYINT COMMENT '评分'
) CHARACTER SET utf8 COLLATE utf8_bin;

INSERT INTO tb_get_car_record(uid, city, event_time, end_time, order_id) VALUES
 (101, '北京', '2021-09-25 08:28:10', '2021-09-25 08:30:00', 9011),
 (102, '北京', '2021-09-25 09:00:30', '2021-09-25 09:01:00', 9012),
 (103, '北京', '2021-09-26 07:59:00', '2021-09-26 08:01:00', 9013),
 (104, '北京', '2021-09-26 07:59:00', '2021-09-26 08:01:00', 9023),
 (104, '北京', '2021-09-27 07:59:20', '2021-09-27 08:01:00', 9014),
 (105, '北京', '2021-09-28 08:00:00', '2021-09-28 08:02:10', 9015),
 (106, '北京', '2021-09-29 17:58:00', '2021-09-29 18:01:00', 9016),
 (107, '北京', '2021-09-30 11:00:00', '2021-09-30 11:01:00', 9017),
 (108, '北京', '2021-09-30 21:00:00', '2021-09-30 21:01:00', 9018),
 (102, '北京', '2021-10-01 09:00:30', '2021-10-01 09:01:00', 9002),
 (106, '北京', '2021-10-01 17:58:00', '2021-10-01 18:01:00', 9006),
 (101, '北京', '2021-10-02 08:28:10', '2021-10-02 08:30:00', 9001),
 (107, '北京', '2021-10-02 11:00:00', '2021-10-02 11:01:00', 9007),
 (108, '北京', '2021-10-02 21:00:00', '2021-10-02 21:01:00', 9008),
 (103, '北京', '2021-10-02 07:59:00', '2021-10-02 08:01:00', 9003),
 (104, '北京', '2021-10-03 07:59:20', '2021-10-03 08:01:00', 9004),
 (109, '北京', '2021-10-03 18:00:00', '2021-10-03 18:01:00', 9009);

INSERT INTO tb_get_car_order(order_id, uid, driver_id, order_time, start_time, finish_time, mileage, fare, grade) VALUES
 (9011, 101, 211, '2021-09-25 08:30:00', '2021-09-25 08:31:00', '2021-09-25 08:54:00', 10, 35, 5),
 (9012, 102, 211, '2021-09-25 09:01:00', '2021-09-25 09:01:50', '2021-09-25 09:28:00', 11, 32, 5),
 (9013, 103, 212, '2021-09-26 08:01:00', '2021-09-26 08:03:00', '2021-09-26 08:27:00', 12, 31, 4),
 (9023, 104, 213, '2021-09-26 08:01:00', null, '2021-09-26 08:27:00', null, null, null),
 (9014, 104, 212, '2021-09-27 08:01:00', '2021-09-27 08:04:00', '2021-09-27 08:21:00', 11, 31, 5),
 (9015, 105, 212, '2021-09-28 08:02:10', '2021-09-28 08:04:10', '2021-09-28 08:25:10', 12, 31, 4),
 (9016, 106, 213, '2021-09-29 18:01:00', '2021-09-29 18:02:10', '2021-09-29 18:23:00', 11, 39, 4),
 (9017, 107, 213, '2021-09-30 11:01:00', '2021-09-30 11:01:40', '2021-09-30 11:31:00', 11, 38, 5),
 (9018, 108, 214, '2021-09-30 21:01:00', '2021-09-30 21:02:50', '2021-09-30 21:21:00', 14, 38, 5),
 (9002, 102, 202, '2021-10-01 09:01:00', '2021-10-01 09:06:00', '2021-10-01 09:31:00', 10.0, 41.5, 5),
 (9006, 106, 203, '2021-10-01 18:01:00', '2021-10-01 18:09:00', '2021-10-01 18:31:00', 8.0, 25.5, 4),
 (9001, 101, 202, '2021-10-02 08:30:00', null, '2021-10-02 08:31:00', null, null, null),
 (9007, 107, 203, '2021-10-02 11:01:00', '2021-10-02 11:07:00', '2021-10-02 11:31:00', 9.9, 30, 5),
 (9008, 108, 204, '2021-10-02 21:01:00', '2021-10-02 21:10:00', '2021-10-02 21:31:00', 13.2, 38, 4),
 (9003, 103, 202, '2021-10-02 08:01:00', '2021-10-02 08:15:00', '2021-10-02 08:31:00', 11.0, 41.5, 4),
 (9004, 104, 202, '2021-10-03 08:01:00', '2021-10-03 08:13:00', '2021-10-03 08:31:00', 7.5, 22, 4),
 (9009, 109, 204, '2021-10-03 18:01:00', null, '2021-10-03 18:51:00', null, null, null);