OR 运算符应用于整个 WHERE 子句

Question

SELECT DISTINCT 
customers.customer_id,
services.name
FROM users
INNER JOIN customers ON users.user_id=customers.user_id
LEFT JOIN appointments ON customers.customer_id=appointments.customer_id
INNER JOIN pets ON customers.customer_id=pets.customer_id
INNER JOIN services on appointments.service_id=services.service_id
WHERE ((appointments.customer_id IS NULL) 
    OR NOT (appointments.date > (SELECT SUBDATE(CURDATE(), 365)))
    OR ((appointments.date > (SELECT SUBDATE(CURDATE(), 365))) 
         AND services.name NOT LIKE '%General Health Checkup%'))
GROUP BY customers.customer_id       

我试图找到所有应该进行年度全面健康检查的客户，这要求他们：a）从未有过约会 b）过去一年没有约会 c）过去一年有过约会但没有一般健康检查

我假设我的 WHERE 子句中的最终 OR 仅适用于该操作，即

OR ((appointments.date > (SELECT SUBDATE(CURDATE(), 365))) AND services.name NOT LIKE '%General Health Checkup%'))

但是，它排除了名为 General Health Checkup 的服务的所有选项。

我如何才能将此应用于 where 子句的那个区域，以便一般健康检查预约可以通过，但前提是它们来自一年多以前。

谢谢 ！

约会表：

CREATE TABLE `appointments` (
  `appointment_id` int(8) NOT NULL,
  `customer_id` int(8) DEFAULT NULL,
  `service_id` int(4) DEFAULT NULL,
  `staff_id` int(6) DEFAULT NULL,
  `pet_id` int(9) DEFAULT NULL,
  `date` date NOT NULL,
  `start_time` time NOT NULL,
  `status` enum('Open','Cancelled','Completed','') NOT NULL,
  `create_date` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

--
-- Dumping data for table `appointments`
--

INSERT INTO `appointments` (`appointment_id`, `customer_id`, `service_id`, `staff_id`, `pet_id`, `date`, `start_time`, `status`, `create_date`) VALUES
(1, 1, 2, 1, 1, '2017-03-22', '10:00:00', 'Completed', '2022-03-16 11:28:46'),
(2, 3, 2, 1, 6, '2021-06-18', '12:00:00', 'Completed', '2021-06-15 11:01:43'),
(3, 2, 2, 1, 2, '2020-07-17', '13:00:00', 'Completed', '2020-05-14 11:30:18'),
(4, 3, 2, 1, 5, '2020-07-10', '14:00:00', 'Completed', '2020-05-21 11:30:18'),
(5, 4, 3, 1, 7, '2020-09-17', '10:00:00', 'Completed', '2022-03-16 12:31:59'),
(6, 8, 2, 1, 11, '2022-03-17', '12:00:00', 'Cancelled', '2022-03-17 23:44:56'),
(7, 4, 2, 7, 7, '2022-03-17', '10:00:00', 'Cancelled', '2022-03-17 23:50:11'),
(8, 1, 1, 13, 1, '2022-03-17', '13:00:00', 'Completed', '2022-03-18 00:28:10'),
(9, 7, 2, 13, 9, '2022-03-18', '15:00:00', 'Cancelled', '2022-03-18 13:16:37'),
(10, 7, 1, 13, 10, '2022-03-18', '16:00:00', 'Cancelled', '2022-03-18 13:48:12'),
(11, 1, 1, 13, 1, '2022-03-22', '11:00:00', 'Completed', '2022-03-22 12:34:55'),
(12, 11, 1, 13, 11, '2022-03-23', '13:00:00', 'Completed', '2022-03-23 15:28:22'),
(13, 9, 3, 13, 12, '2022-03-26', '13:00:00', 'Completed', '2022-03-26 13:13:46'),
(14, 35, 2, 13, 16, '2022-03-27', '10:00:00', 'Completed', '2022-03-27 16:09:14'),
(15, 34, 2, 13, 20, '2022-03-28', '10:00:00', 'Completed', '2022-03-28 10:05:41'),
(16, 33, 1, 13, 20, '2022-03-28', '12:00:00', 'Completed', '2022-03-28 11:40:50'),
(17, 8, 2, 13, 20, '2022-03-16', '14:00:00', 'Completed', '2022-03-28 12:31:42'),
(18, 15, 2, 13, 20, '2022-03-28', '14:00:00', 'Completed', '2022-03-28 12:33:47'),
(19, 31, 4, 13, 20, '2022-03-29', '00:00:00', 'Completed', '2022-03-29 14:20:04'),
(20, 31, 4, 13, 20, '2022-03-29', '10:00:00', 'Completed', '2022-03-29 14:20:42'),
(21, 1, 1, 13, 1, '2022-03-30', '11:00:00', 'Completed', '2022-03-30 15:18:23'),
(22, 33, 4, 13, 22, '2022-03-30', '12:00:00', 'Completed', '2022-03-30 15:22:02'),
(23, 3, 1, 13, 5, '2022-03-30', '13:00:00', 'Open', '2022-03-30 15:22:02'),
(24, 4, 1, 13, 7, '2022-03-30', '13:30:00', 'Completed', '2022-03-30 15:24:52'),
(25, 7, 2, 13, 10, '2022-03-30', '14:30:00', 'Open', '2022-03-30 15:26:11'),
(26, 12, 1, 7, 8, '2022-04-21', '10:00:00', 'Open', '2022-04-21 12:54:10'),
(27, 2, 1, 1, 8, '2022-04-21', '10:00:00', 'Cancelled', '2022-04-21 13:16:23'),
(28, 17, 4, 1, 20, '2022-04-21', '10:00:00', 'Completed', '2022-04-21 13:18:41'),
(29, NULL, 6, 7, 21, '2022-04-21', '12:00:00', 'Completed', '2022-04-21 16:22:44'),
(30, 13, 2, 3, 5, '2022-04-21', '14:00:00', 'Open', '2022-04-21 17:42:10'),
(31, 5, 1, 9, 14, '2022-04-22', '11:00:00', 'Open', '2022-04-22 16:16:57');

服务表：

CREATE TABLE `services` (
  `service_id` int(4) NOT NULL,
  `name` varchar(100) NOT NULL,
  `description` text NOT NULL,
  `average_time` int(3) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

--
-- Dumping data for table `services`
--

INSERT INTO `services` (`service_id`, `name`, `description`, `average_time`) VALUES
(1, 'Consultation', 'General consultation to help you find the best path to good health for your pet.', 30),
(2, 'General Health Checkup', 'Review of your pets health.', 30),
(3, 'Microchip Insertion', 'Keep your dog safe and trackable with microchip.', 90),
(4, 'Puppy Vaccination', 'Initial puppy vaccination', 30),
(6, 'Booster Vaccination', 'Regular booster vaccincation service.', 30);

Answer 1

我只想检查客户去年是否有 service_id=2：

SELECT  
   customers.customer_id,
   GROUP_CONCAT(CONCAT(services.name,'(',appointments.date,')')) as services
FROM users
INNER JOIN customers ON users.user_id=customers.user_id
LEFT JOIN appointments ON customers.customer_id=appointments.customer_id
INNER JOIN pets ON customers.customer_id=pets.customer_id
INNER JOIN services on appointments.service_id=services.service_id
WHERE SUBDATE(CURDATE(), 365) > (SELECT MAX(date)
                 FROM appointments 
                 WHERE customers.customer_id=appointments.customer_id
                   AND appointments.service_id=2)
GROUP BY customers.customer_id  

output：

客户ID	服务
1个	一般健康检查(2017-03-22),咨询(2022-03-30),咨询(2022-03-22),咨询(2022-03-17)
2个	一般健康检查(2020-07-17),咨询(2022-04-21)

参见： DBFIDDLE