Presto SQL窗口聚合回顾x小时/分钟/秒

时间:2019-01-17 09:55:04

标签: sql window presto

我想通过回溯x小时/分钟/秒之前对presto sql进行汇总。

数据

id    |       timestamp       |    status
-------------------------------------------
A     |   2018-01-01 03:00:00 |     GOOD
A     |   2018-01-01 04:00:00 |     BAD
A     |   2018-01-01 05:00:00 |     GOOD
A     |   2018-01-01 09:00:00 |     BAD
A     |   2018-01-01 09:15:00 |     BAD
A     |   2018-01-01 13:00:00 |     GOOD
A     |   2018-01-01 14:00:00 |     GOOD
B     |   2018-02-01 09:00:00 |     GOOD
B     |   2018-02-01 10:00:00 |     BAD

结果:

id    |       timestamp       |    status    | bad_status_count
----------------------------------------------------------------
A     |   2018-01-01 03:00:00 |     GOOD     |       0 
A     |   2018-01-01 04:00:00 |     BAD      |       1
A     |   2018-01-01 05:00:00 |     GOOD     |       1
A     |   2018-01-01 09:00:00 |     BAD      |       1
A     |   2018-01-01 09:15:00 |     BAD      |       2
A     |   2018-01-01 13:00:00 |     GOOD     |       0 
A     |   2018-01-01 14:00:00 |     GOOD     |       0
B     |   2018-02-01 09:00:00 |     GOOD     |       0
B     |   2018-02-01 10:00:00 |     BAD      |       1

我正在按业务统计过去3个小时内的不良状况。我怎样才能做到这一点? 我正在尝试这样的事情:

SELECT
  id,
  timestamp,
  status
  count(status) over(partition by id order by timestamp range between interval '3' hour and current_row) as bad_status_count
from table

当然,它还不能正常工作,我仍然必须过滤掉状态不好的东西。我收到此错误:  Error running query: line 7:1: Window frame start value type must be INTEGER or BIGINT(actual interval day to second)

1 个答案:

答案 0 :(得分:0)

我不是100%如何在PrestoDB中表达这一点,但关键思想是将时间戳转换为小时:

select t.*,
       sum(case when status = 'Bad' then 1 else 0 end) over
           (partition by id
            order by hours
            range between -3 and current row
           ) as bad_status
from (select t.*,
             date_diff(hour, '2000-01-01', timestamp) as hours
      from t
     ) t;