sql - 如何根据 SQL 中行之间列的差异进行分组？

Question

我有一个带有 created_at 时间戳的事件表。我想将它们分成相隔 N 秒的事件组，特别是 130 秒。然后对于每个组，我只需要知道最低时间戳和最高时间戳。

这是一些示例数据(忽略时间戳的格式，它是一个日期时间字段):

------------------------| id | created_at      |------------------------| 1  | 2013-1-20-08:00 || 2  | 2013-1-20-08:01 || 3  | 2013-1-20-08:05 || 4  | 2013-1-20-08:07 || 5  | 2013-1-20-08:09 || 6  | 2013-1-20-08:12 || 7  | 2013-1-20-08:20 |------------------------

And what I would like to get as a result is:

-------------------------------------| started_at      | ended_at        |-------------------------------------| 2013-1-20-08:00 | 2013-1-20-08:01 || 2013-1-20-08:05 | 2013-1-20-08:09 || 2013-1-20-08:12 | 2013-1-20-08:12 || 2013-1-20-08:20 | 2013-1-20-08:20 |-------------------------------------

I've googled and searched every possible way of phrasing that question and experimented for some time, but I can't figure it out. I can already do this in Ruby, I'm just trying to figure out if it's possible to move this to the database level. If you're curious or it's easier to visualize, here's what it looks like in Ruby:

groups = SortedSet[*events].divide { |a,b| (a.created_at - b.created_at).abs <= 130 }
groups.map do |group|
  { started_at: group.to_a.first.created_at, ended_at: group.to_a.last.created_at }
end

有谁知道如何在 SQL 中执行此操作，特别是 PostgreSQL？

Answer 1

我认为你希望在与前一个的差异大于 130 秒时开始每个新分组。您可以使用滞后和日期算法来确定分组的开始位置。然后做一个累加求和得到分组:

select Grouping, min(created_at), max(created_at)
from (select t.*, sum(GroupStartFlag) over (order by created_at) as Grouping
      from (select t.*,
                   lag(created_at) over (order by created_at) as prevca,
                   (case when extract(epoch from created_at - lag(created_at) over (order by created_at)) < 130
                         then 0 else 1
                    end) as GroupStartFlag
            from t
           ) t
     ) t
group by Grouping;

最后一步是通过“分组”标识符进行聚合以获得最早和最晚的日期。