Pipelinedb：如何在连续视图中按每 N 分钟对流数据进行分组

Question

如何在 continuous view select 中每 N 分钟对来自 pipelinedb stream 的数据进行分组？

Pipelinedb 的流获取有关来自许多远程主机的事件的数据。例如，我需要将这些事件按类型、ip 和时间间隔以 5 分钟为单位进行分组，并进行计数。

所以我的输入（非常粗略）：

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

以及必须持续查看的内容 select:

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

您可以为此使用 date_round(column, interval) [0] 函数。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

Pipelinedb：如何在连续视图中按每 N 分钟对流数据进行分组

Pipelinedb: How to group stream data by each N minutes in continuous view

pipelinedb