PipeLinedB:如何在连续视图中按每个n分钟将流数据分组

Question

如何按continuous view中的每个n分钟从PipelinedB的stream分组数据？

PipelinedB的流获取有关来自许多远程主机的事件的数据。例如，我需要按类型，IP和时间间隔分组5分钟，然后对它们进行计数。

所以在输入上我有（非常大致）：

time  | ip               | type      
------------------------------------
22:35 | 111.111.111.111  | page_open <-- new interaval, ends in 22:40
22:36 | 111.111.111.111  | page_open
22:37 | 111.111.111.111  | page_close 
22:42 | 111.111.111.111  | page_close <-- event comes in next interval, ends in 22:45
22:42 | 222.111.111.111  | page_open 
22:43 | 222.111.111.111  | page_open
22:44 | 222.111.111.111  | page_close 
22:44 | 111.111.111.111  | page_open

以及连续视图中必须是什么：

time  | ip               | type       | count
---------------------------------------------
22:40 | 111.111.111.111  | page_open  | 2
22:40 | 111.111.111.111  | page_close | 1
22:45 | 111.111.111.111  | page_open  | 1
22:45 | 111.111.111.111  | page_close | 1
22:45 | 222.111.111.111  | page_open  | 2
22:45 | 222.111.111.111  | page_close | 1

P.S。对不起，我的英语

Answer 1

您可以使用date_round(column, interval) [0]函数为此。例如，

CREATE CONTINUOUS VIEW bucketed AS
  SELECT date_round(time, '5 minutes') AS bucket, COUNT(*)
    FROM input_stream GROUP BY bucket;

[0] http://docs.pipelinedb.com/builtin.html?highlight = date_round