查找连续行并计算持续时间

Question

我有一组数据告诉我是否有几个系统可用,或者每5或15分钟增量.目前,时间增量无关紧要.

数据如下所示:

Status     Time         System_ID
T          10:00          S01
T          10:15          S01
F          10:30          S01
F          10:45          S01
F          11:00          S01
T          11:15          S01
T          11:30          S01
F          11:45          S01
F          12:00          S01
F          12:15          S01
T          12:30          S01

F          10:00          S02
F          10:15          S02
F          10:30          S02
F          10:45          S02
F          11:00          S02
T          11:15          S02
T          11:30          S02

我想创建一个视图,告诉系统什么时候不可用(即什么时候是F),从什么时间到什么时间,以及从哪个时间开始.

期望的结果:

System_ID    From            To           Duration
S01          10:30          11:00          00:30 
S01          11:45          12:15          00:30 
S02          10:00          11:00          01:00 

这是脚本数据:

DROP SCHEMA IF EXISTS Sys_data CASCADE;
CREATE SCHEMA Sys_data;

CREATE TABLE test_data (
          status BOOLEAN,
          dTime TIME,
          sys_ID VARCHAR(10),
          PRIMARY KEY (dTime, sys_ID)
);

INSERT INTO test_data (status, dTime, sys_ID) VALUES (TRUE, '10:00:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (TRUE, '10:15:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '10:30:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '10:45:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '11:00:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (TRUE, '11:15:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (TRUE, '11:30:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '11:45:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '12:00:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '12:15:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (TRUE, '12:30:00', 'S01');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '10:00:00', 'S02');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '10:15:00', 'S02');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '10:30:00', 'S02');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '10:45:00', 'S02');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (FALSE, '11:00:00', 'S02');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (TRUE, '11:15:00', 'S02');
INSERT INTO test_data (status, dTime, sys_ID) VALUES (TRUE, '11:30:00', 'S02');

先感谢您!

Answer 1

也许不是最佳的，但它有效:)

select sys_id, first_time as down_from, max(dTime) as down_to
from ( select status, sys_id, dTime,
            (select min(td_add2.dTime) 
                from test_data td_add2
               where td_add2.dtime <=  x.dTime
                 and td_add2.dtime >=  COALESCE(x.prev_time,x.min_time)
                 and td_add2.status = x.status       
                 and td_add2.sys_id = x.sys_id ) as first_time
         from ( select td_main.status, td_main.sys_id, td_main.dTime,       
                                (select max(td_add.dTime) 
                                   from test_data td_add 
                                  where td_add.dtime <  td_main.dTime
                                    and  td_add.status != td_main.status       
                                    and td_add.sys_id = td_main.sys_id ) as prev_time,
                                (select min(td_add.dTime) 
                                   from test_data td_add 
                                  where td_add.dtime <  td_main.dTime
                                    and td_add.sys_id = td_main.sys_id ) as min_time                                                                                                    
                from test_data td_main) x
      ) y
where status = false 
and first_time is not null 
group by sys_id, first_time
order by sys_id, first_time
+--------+-----------+----------+
| sys_id | down_from | down_to  |
+--------+-----------+----------+
| S01    | 10:30:00  | 11:00:00 |
| S01    | 11:45:00  | 12:15:00 |
| S02    | 10:00:00  | 11:00:00 |
+--------+-----------+----------+
3 rows in set (0.00 sec)