如何合并(分组)属于同一会话的行

how to merge (group) rows belonging to the same session

访客可以 OPEN 房子的前门,然后 ENTER 房子里的几个房间。说完这一切,他便OPEN再次走出前门,离开家门。这给出了以下示例数据:

13:00 John  OPEN
13:00 John  ENTER Hall
13:30 John  ENTER Kitchen
13:45 John  ENTER Living room
14:00 John  OPEN
13:30 Steve OPEN
13:30 Steve ENTER Hall
13:40 Steve ENTER Stairs
14:00 Steve ENTER Bed room
16:00 Steve ENTER Stairs
16:10 Steve OPEN

所以换句话说,我们总是有一个 OPEN 条目,然后是一个或多个 ENTER 条目,最后是一个 OPEN 条目。还有,房子里可以同时有多个访客,也可以多次访问房子,完全没有限制。

让我们定义一个从OPENOPEN的序列作为一个会话。我现在想为包含所有已发生事件的每个会话创建一行,如下所示:

[13:00,14:00) John  (13:00,Hall),(13:30,Kitchen),(13:45,Living room)
[13:30,16:10) Steve (13:30,Hall),(13:40,Stairs),(14:00,Bed room),(16:00,Stairs)

如何才能有效地做到这一点?

我有一个可行的 n^2 解决方案,它首先为每个会话获取第一个和最后一个 ENTER(使用 window 函数 leadlag 以及然后与前一个进行比较),然后在外循环中搜索所有交错 ENTER 条目。这显然表现不佳。

有没有办法扫描一次数据集,将属于同一会话的所有 ENTER 条目标记为唯一序列号,然后最后按该序列分组?我为此伤透了脑筋。

一个可能的解决方案是 SUM OPEN 的出现次数直到 table 中的当前行(按名称分区并按时间排序),并将其除以 2获取当前访问号码。这可以用来对结果进行分组:

WITH CTE AS (
  SELECT *,
         (1 + SUM(CASE WHEN action = 'OPEN' THEN 1 ELSE 0 END) OVER (PARTITION BY name ORDER BY time)) / 2 AS access
  FROM data
)
SELECT MIN(time), MAX(time), name, ARRAY_AGG(time || ',' || action) AS actions
FROM CTE
GROUP BY name, access
ORDER BY MIN(time), name 

输出(我的扩展演示,由 John 第二次访问):

min     max     name    actions
13:00   14:00   John    ["13:00,OPEN","13:00,ENTER Hall","13:30,ENTER Kitchen","13:45,ENTER Living room","14:00,OPEN"]
13:30   16:10   Steve   ["13:30,OPEN","13:30,ENTER Hall","13:40,ENTER Stairs","14:00,ENTER Bed room","16:00,ENTER Stairs","16:10,OPEN"]
15:00   16:00   John    ["15:00,OPEN","15:00,ENTER Hall","15:30,ENTER Kitchen","15:45,ENTER Living room","16:00,OPEN"]

Demo on dbfiddle