In this previous question, I asked for a way of identifying some gaps and islands. with a table t below;
+---------------------+------------+---------------+| ts | EngOilP_sd | CompOilLVL_sd |+---------------------+------------+---------------+| 2015-06-24 20:28:07 | 0 | 0 || 2015-06-24 20:30:20 | 1 | 0 || 2015-06-24 20:36:47 | 1 | 0 || 2015-06-24 20:41:11 | 1 | 0 || 2015-06-24 20:43:29 | 1 | 0 || 2015-06-24 20:45:42 | 0 | 0 || 2015-06-24 20:47:51 | 0 | 0 || 2015-06-24 20:49:59 | 0 | 1 || 2015-06-24 20:52:01 | 0 | 1 || 2015-06-24 20:54:17 | 0 | 0 |+---------------------+------------+---------------+The following view will give me the islands of data where values are successively true;
create view t_pivot as select 'EngOilP_sd' as sd, ts, EngOilP_sd as val from t union all select 'CompOilLVL_sd', ts, CompOilLVL_sd from t;# explainselect sd, timediff(stop, start) as duration, start, stopfrom ( select x.sd, x.start, min(case y.val when 0 then y.ts end) as stop from ( select sd, min(case val when 1 then ts end) as start from t_pivot group by sd ) as x join t_pivot as y on x.sd = y.sd and y.ts > x.start group by x.sd, x.start) as zorder by sd desc;Gives
+---------------+----------+---------------------+---------------------+| sd | duration | start | stop |+---------------+----------+---------------------+---------------------+| EngOilP_sd | 00:15:22 | 2015-06-24 20:30:20 | 2015-06-24 20:45:42 || CompOilLVL_sd | 00:04:18 | 2015-06-24 20:49:59 | 2015-06-24 20:54:17 |+---------------+----------+---------------------+---------------------+2 rows in set (0.00 sec)Now, I am stumped as how to look at the following table for n gaps
+---------------------+------------+---------------+---------------+| ts | EngOilP_sd | CompOilLVL_sd | Brake_sd |+---------------------+------------+---------------+---------------+| 2015-06-24 20:28:07 | 0 | 0 | 0 || 2015-06-24 20:30:20 | 1 | 0 | 0 || 2015-06-24 20:36:47 | 1 | 1 | 0 || 2015-06-24 20:41:11 | 1 | 1 | 1 || 2015-06-24 20:43:29 | 1 | 1 | 1 || 2015-06-24 20:45:42 | 1 | 0 | 1 || 2015-06-24 20:47:51 | 0 | 0 | 1 || 2015-06-24 20:49:59 | 0 | 1 | 0 || 2015-06-24 20:52:01 | 1 | 1 | 0 || 2015-06-24 20:53:01 | 1 | 1 | 0 || 2015-06-24 20:54:01 | 1 | 1 | 1 || 2015-06-24 20:56:01 | 1 | 1 | 1 || 2015-06-24 20:57:01 | 1 | 1 | 1 || 2015-06-24 20:58:01 | 1 | 1 | 1 || 2015-06-24 21:02:01 | 1 | 1 | 1 || 2015-06-24 21:32:01 | 0 | 1 | 1 || 2015-06-24 21:52:01 | 0 | 0 | 1 || 2015-06-24 22:12:01 | 0 | 0 | 0 || 2015-06-24 22:20:01 | 0 | 0 | 0 || 2015-06-24 22:49:01 | 0 | 1 | 1 || 2015-06-24 23:52:01 | 0 | 1 | 1 || 2015-06-24 23:54:17 | 0 | 0 | 0 |+---------------------+------------+---------------+---------------+The result set I am looking for here would be as below
+---------------+----------+---------------------+---------------------+| sd | duration | start | stop |+---------------+----------+---------------------+---------------------+| EngOilP_sd | 00:15:22 | 2015-06-24 20:30:20 | 2015-06-24 20:45:42 || EngOilP_sd | 00:10:00 | 2015-06-24 20:52:20 | 2015-06-24 21:02:42 || CompOilLVL_sd | 00:06:42 | 2015-06-24 20:36:47 | 2015-06-24 20:43:29 || CompOilLVL_sd | 00:42:02 | 2015-06-24 20:49:59 | 2015-06-24 21:32:01 || CompOilLVL_sd | 00:03:00 | 2015-06-24 20:49:59 | 2015-06-24 20:54:17 || Brake_sd | 00:06:40 | 2015-06-24 20:41:11 | 2015-06-24 20:47:51 || Brake_sd | 00:58:01 | 2015-06-24 20:54:01 | 2015-06-24 21:52:01 || Brake_sd | 01:02:00 | 2015-06-24 22:49:01 | 2015-06-24 23:52:01 |+---------------+----------+---------------------+---------------------+8 rows in set (0.00 sec)EDIT Initially, I did not have the column Brake_sd in the question. User @tombom's answer correctly describes the case where the Brake_sd column is not present, although that is the only difference
