我想在包含日志文件的数据库中找到最长的连续序列。 该文件具有以下结构:
select * from log;
+---------------+-------------------+---+
|sequence_number|timestamp |...|
|---------------+-------------------+---+
|1 |2012-02-21 13:31:21|...|
|2 |2012-02-21 13:31:58|...|
|3 |2012-02-21 13:32:01|...|
|4 |2012-02-21 13:33:24|...|
|5 |2012-02-25 05:41:12|...|
|6 |2012-02-25 05:41:51|...|
etc...
我想找到最长连续序列条目的时间段的开始日期和结束日期,其中两行之间的时间差小于一分钟。上面的数据库的结果应该是:
+-------------------+-------------------+----+
|start_date |end_date |size|
+-------------------+-------------------+----+
|2012-02-21 13:31:21|2012-02-21 13:32:01|3 |
|2012-02-25 05:41:21|2012-02-25 05:41:51|2 |
|2012-02-21 13:33:24|2012-02-21 13:33:24|1 |
我检查了一些提示,但是可以找到适合mysql(MariaDB 10.1.23)的解决方案
希望有人可以提供帮助,谢谢!
答案 0 :(得分:2)
这是一个主意:
DROP TABLE IF EXISTS log;
CREATE TABLE log
(`sequence_number` int, `timestamp` timestamp)
;
INSERT INTO log
(`sequence_number`, `timestamp`)
VALUES
(1, '2012-02-21 13:31:21'),
(2, '2012-02-21 13:31:58'),
(3, '2012-02-21 13:32:01'),
(4, '2012-02-21 13:33:24'),
(5, '2012-02-25 05:41:12'),
(6, '2012-02-25 05:41:51')
;
SELECT MIN(timestamp) start
, MAX(timestamp) end
, COUNT(*) total
FROM
( SELECT l.*
, CASE WHEN @prevx > timestamp - INTERVAL 60 SECOND THEN @ix:=@ix+1 ELSE @ix:=1 END i
, CASE WHEN @ix=1 THEN @jx:=@jx+1 ELSE @jx:=@jx END j
, @prevx := timestamp
FROM log l
, (SELECT @prevx:=null,@ix:=1,@jx:=0) vars
ORDER
BY l.timestamp
) x
GROUP
BY j
;
给出以下输出:
+---------------------+---------------------+-------+
| start | end | total |
+---------------------+---------------------+-------+
| 2012-02-21 13:31:21 | 2012-02-21.13:32:01 | 3 |
| 2012-02-21 13:33:24 | 2012-02-21.13:33:24 | 1 |
| 2012-02-25 05:41:12 | 2012-02-25.05:41:51 | 2 |
+---------------------+---------------------+-------+
答案 1 :(得分:0)
在V8.0之前的版本中,您可以使用变量:
select min(timestamp), max(timestamp), count(*)
from (select l.*,
(case when (@tmp_prevts := @prevts) = NULL then NULL
when (@prevts := timestamp) = NULL then NULL
when @tmp_prevts > timestamp - interval 1 minute then @grp
else (@grp := @grp + 1)
end) as grp
from (select l.*
from log l
order by l.timestamp
) l cross join
(select @prevts := '', @grp := 0) params
) l
group by grp
order by count(*) desc;