我有桌子事件:
create table events (
time TIMESTAMP NOT NULL,
passes INT UNSIGNED NOT NULL,
fails INT UNSIGNED NOT NULL,
device_channel VARCHAR(5) NOT NULL,
device_name VARCHAR(5) NOT NULL,
events_id INT UNSIGNED NOT NULL AUTO_INCREMENT PRIMARY KEY);
包含以下数据:
INSERT INTO events VALUES
('2018-08-08 10:30:00',3000,15,'ch1','dev1',NULL),
('2018-08-08 10:30:00',3000,12,'ch1','dev2',NULL),
('2018-08-08 10:30:00',3000,9,'ch1','dev3',NULL),
('2018-08-08 10:30:00',3000,11,'ch2','dev4',NULL),
('2018-08-08 10:30:00',3000,10,'ch2','dev5',NULL),
('2018-08-08 10:30:00',3000,8,'ch2','dev6',NULL),
('2018-08-08 10:45:00',4000,18,'ch1','dev1',NULL),
('2018-08-08 10:45:00',4000,16,'ch1','dev2',NULL),
('2018-08-08 10:45:00',4000,10,'ch1','dev3',NULL),
('2018-08-08 10:45:00',4000,11,'ch2','dev4',NULL),
('2018-08-08 10:45:00',4000,20,'ch2','dev5',NULL),
('2018-08-08 10:45:00',4000,10,'ch2','dev6',NULL);
我需要显示时间间隔内通过和失败列的差异,并创建了以下查询:
SELECT a.time AS Start_time, b.time AS End_time ,a.device_channel AS Channel,a.device_name AS Device,b.passes-a.passes AS Passes, b.fails-a.fails AS Fails
FROM events a
JOIN events b
ON b.time > a.time AND b.device_name = a.device_name;
此查询生成以下结果:
+---------------------+---------------------+---------+--------+--------+-------+
| Start_time | End_time | Channel | Device | Passes | Fails |
+---------------------+---------------------+---------+--------+--------+-------+
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev1 | 1000 | 3 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev2 | 1000 | 4 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev3 | 1000 | 1 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev4 | 1000 | 0 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev5 | 1000 | 10 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev6 | 1000 | 2 |
+---------------------+---------------------+---------+--------+--------+-------+
6 rows in set (0.00 sec)
但是我需要在device_channel上分组的SUM(Fails)上排序表,以便在查询后该表如下所示:
+---------------------+---------------------+---------+--------+--------+-------+
| Start_time | End_time | Channel | Device | Passes | Fails |
+---------------------+---------------------+---------+--------+--------+-------+
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev4 | 1000 | 0 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev5 | 1000 | 10 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev6 | 1000 | 2 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev1 | 1000 | 3 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev2 | 1000 | 4 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev3 | 1000 | 1 |
+---------------------+---------------------+---------+--------+--------+-------+
6 rows in set (0.00 sec)
我尝试将以下ORDER BY子句附加到查询中,但它似乎不起作用:
ORDER BY SUM(b.fails-a.fails) OVER (PARTITION BY channel.channel_num) DESC;
非常感谢任何帮助。
基于@vinay Chhabra的输入,我创建了一个查询,该查询提供了所需的结果:
SELECT t1.*
FROM
(
SELECT a.time AS Start_time, b.time AS End_time ,a.device_channel AS Channel,a.device_name AS Device, b.fails-a.fails AS Fails
FROM events a
JOIN events b
ON b.time > a.time AND b.device_name = a.device_name
) AS t1
JOIN
(
SELECT a.device_channel AS Channel,a.device_name AS Device, b.fails-a.fails AS Fails, SUM(b.fails-a.fails) AS Sumfails
FROM events a
JOIN events b
ON b.time > a.time AND b.device_name = a.device_name
Group by Channel
) t2
ON t1.Channel = t2.Channel
ORDER by Sumfails DESC, Fails DESC;
+---------------------+---------------------+---------+--------+-------+
| Start_time | End_time | Channel | Device | Fails |
+---------------------+---------------------+---------+--------+-------+
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev5 | 10 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev6 | 2 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch2 | dev4 | 0 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev2 | 4 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev1 | 3 |
| 2018-08-08 10:30:00 | 2018-08-08 10:45:00 | ch1 | dev3 | 1 |
+---------------------+---------------------+---------+--------+-------+
6 rows in set (0.00 sec)
我怀疑还有更好的解决方案。
答案 0 :(得分:0)
这是您要的吗? 试用:-
SELECT a.time AS Start_time, b.time AS End_time ,a.device_channel AS Channel,a.device_name AS Device,b.passes-a.passes AS Passes, b.fails-a.fails AS Fails
FROM events a
JOIN events b
ON b.time > a.time AND b.device_name = a.device_name
ORDER BY fails desc;
并针对渠道:-
SELECT a.time AS Start_time, b.time AS End_time ,a.device_channel AS Channel,a.device_name AS Device,b.passes-a.passes AS Passes, b.fails-a.fails AS Fails
FROM events a
JOIN events b
ON b.time > a.time AND b.device_name = a.device_name
ORDER BY channel ,fails desc;
答案 1 :(得分:0)
您可以在下面的查询中尝试这个吗?
SELECT derv_res.device_channel, SUM(derv_res.diff) AS total_fails
FROM
(SELECT a.device_channel, a.device_name , (b.fails - a.fails) AS diff
FROM EVENTS a
INNER JOIN EVENTS b
ON b.time > a.time AND
b.device_name = a.device_name
GROUP BY
a.device_channel,
a.device_name) AS derv_res
GROUP BY derv_res.device_channel
ORDER BY total_fails DESC ;