如何计算特定月份类别更改/更新的状态

时间:2019-09-05 07:21:25

标签: mysql mysql-5.7

我想按类别名称计算给定月份的项目状态更新/更改

我有一个类别(类别列表),投资(投资者投资列表,包括类别中的category_id),状态表,其名称带有实施前,实施和运营状态。 一个项目包含项目ID,名称,开始日期字段。 状态和项目都具有多对多关系,称为project_status表,其中包含project_id,status_id,date_of_progress。

我想计算这个月内所有按类别名称更新/更改其status_id的项目

从预实施到实施 从实施到运营 从预实施到运营

CREATE TABLE `categories` (
  `cat_id` int(11) NOT NULL,
  `name` varchar(50) NOT NULL,
  `description` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;


INSERT INTO `categories` (`cat_id`, `name`, `description`) VALUES
(1, 'agriculture', ''),
(2, 'manufactures ', ''),
(3, 'Technology', ''),
(4, 'services', '');



CREATE TABLE `investments` (
  `investment_id` int(11) NOT NULL,
  `investment_name` varchar(100) NOT NULL,
  `cat_id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;

INSERT INTO `investments` (`investment_id`, `investment_name`, `cat_id`) VALUES
(1, 'Company A', 3),
(2, 'Company B', 4),
(3, 'Company C', 1),
(4, 'Company D', 2),
(5, 'Company E', 3),
(6, 'Company F', 4),
(7, 'Company G', 1),
(8, 'Company H', 2);

CREATE TABLE `status` (
  `status_id` int(11) NOT NULL,
  `status_name` varchar(30) NOT NULL,
  `description` varchar(255) DEFAULT NULL,
  `status_name_tg` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

INSERT INTO `status` (`status_id`, `status_name`, `description`, `status_name_tg`) VALUES
(1, 'Pre Implementation', 'Operational', 'Pre Implementation'),
(2, 'Implementation', NULL, 'Implementation'),
(3, 'Operational', NULL, 'Operational'),
(4, 'Inactive', NULL, 'Inactive'),
(5, 'Cancellation', NULL, 'Cancellation');

CREATE TABLE `project_status` (
  `project_status_id` int(11) NOT NULL,
  `status_id` int(11) NOT NULL,
  `time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
  `project_id` int(11) NOT NULL,
  `reason_for_cancellation` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

INSERT INTO `project_status` (`project_status_id`, `status_id`, `time`, `project_id`, `reason_for_cancellation`) VALUES
(1, 1, '2019-02-24 21:51:50', 1, NULL),
(2, 2, '2019-03-26 21:52:57', 1, NULL),
(3, 1, '2019-04-30 21:57:57', 2, NULL),
(4, 1, '2019-05-26 22:04:08', 3, NULL),
(5, 3, '2019-08-24 22:06:36', 1, NULL),
(6, 2, '2019-08-11 22:07:05', 3, NULL),
(8, 1, '2019-08-01 00:14:41', 6, NULL),
(9, 1, '2019-08-09 12:11:22', 7, NULL),
(10, 1, '2019-08-09 12:15:22', 8, NULL),
(11, 3, '2019-08-14 10:07:49', 7, NULL),
(12, 2, '2019-08-14 10:10:45', 8, NULL),
(13, 2, '2019-08-26 17:16:02', 6, NULL),
(14, 3, '2019-08-26 17:16:02', 6, NULL);


CREATE TABLE `projects` (
  `project_id` int(11) NOT NULL,
  `name` varchar(150) NOT NULL,
  `start_date` datetime NOT NULL,
  `investment_id` int(11) NOT NULL    
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

INSERT INTO `projects` (`project_id`, `name`, `start_date`, `investment_id`) VALUES
(1, 'site A', '2019-02-01 00:00:00', 1),
(2, 'site B', '2019-03-12 00:00:00', 2),
(3, 'Site C', '2019-04-04 00:00:00', 3),
(4, 'Site D', '2019-05-03 00:00:00', 4),
(5, 'site E', '2019-06-01 00:00:00', 5),
(6, 'site F', '2019-08-02 00:00:00', 6),
(7, 'Site J', '2019-08-01 00:00:00', 7),
(8, 'Site H', '2019-08-05 00:00:00', 8);

以下是Augus 2019的结果

 +--------------+-------------------+---------------+---------------+
 | category_name| pre_implemntation | imp_operation | pre_operation |
 +------+-------+------------+-------------++-------------++--------+
 | agriculture  |     1             |          -    |           1   |
 | manufactures |     1             |          -    |           -   |
 | Technology   |     -             |          1    |           -   |
 | services     |     -             |          1    |           -   |
 +--------------+-------------------+---------------+---------------+

1 个答案:

答案 0 :(得分:1)

SQL DEMO

SELECT q.year
     , q.month
     , q.name
     , COUNT(CASE WHEN q.last_status = 2 THEN 1 END) as pre_implementation
     , COUNT(CASE WHEN q.last_status = 3 
                   AND q.previous_status = 2 THEN 1 END) as implementation_operation
     , COUNT(CASE WHEN q.last_status = 3 
                   AND (q.previous_status = 1 or q.previous_status IS NULL)
                  THEN 1 END) as pre_operation
FROM (
    SELECT *, (SELECT MAX(p.status_id)
               FROM project_status p
               WHERE p.time < CONCAT(t.year,'/', t.month,'/1')
                 AND p.project_id = t.project_id
               ) as previous_status
    FROM (
        SELECT YEAR(time) as year
             , MONTH(time) as month
             , c.name
             , ps.project_id
             , MAX(status_id) as last_status
        FROM project_status ps
        JOIN projects p
          ON ps.project_id = p. project_id
        JOIN investments i 
          ON p.investment_id = i.investment_id
        JOIN categories c
          ON i.cat_id = c.cat_id
        GROUP BY YEAR(time), MONTH(time), c.name, ps.project_id
    ) t
) q
GROUP BY q.year, q.month, q.name

输出

+--------+-------+---------------+--------------------+--------------------------+---------------+
|  year  | month |     name      | pre_implementation | implementation_operation | pre_operation |
+--------+-------+---------------+--------------------+--------------------------+---------------+
| 2019   |     2 | Technology    |                  0 |                        0 |             0 |
| 2019   |     3 | Technology    |                  1 |                        0 |             0 |
| 2019   |     4 | services      |                  0 |                        0 |             0 |
| 2019   |     5 | agriculture   |                  0 |                        0 |             0 |
+--------+-------+---------------+--------------------+--------------------------+---------------+
| 2019   |     8 | Technology    |                  0 |                        1 |             0 |
| 2019   |     8 | agriculture   |                  1 |                        0 |             1 |
| 2019   |     8 | services      |                  0 |                        0 |             1 |
| 2019   |     8 | manufactures  |                  1 |                        0 |             0 |
+--------+-------+---------------+--------------------+--------------------------+---------------+