Question

如何在stream选择中每N分钟对来自pipelinedb的continuous view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。我需要在5分钟内按类型，IP和时间间隔对此事件进行分组，并计算它们。

所以输入我（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

在连续视图中必须选择的内容：

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。对不起我的英文

Answer 1

您可以使用date_round(column, interval) [0]功能。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：如何在连续视图中每N分钟对流数据进行分组

1 个答案: