SQL Return 列中的值已更改的记录

SQL Return the record where the value in a column have changed

我在 Hive table 中有数据,看起来像这样 -

VIN Mode event Start End
ABC123456789 Mode 1 Deauthorized 01/01/2010 00:00:00 05/05/2014 14:54:54
ABC123456789 Mode 1 Deauthorized 05/05/2014 14:54:54 05/13/2014 19:09:51
ABC123456789 Mode 1 Deauthorized 05/13/2014 19:09:51 11/13/2014 22:26:32
ABC123456789 Mode 1 Authorized 11/13/2014 22:26:32 11/13/2014 22:31:00
ABC123456789 Mode 1 Authorized 11/13/2014 22:31:00 11/14/2014 01:23:56
ABC123456789 Mode 2 Deauthorized 11/14/2014 01:23:56 11/18/2014 19:38:51
ABC123456789 Mode 2 Deauthorized 11/18/2014 19:38:51 11/18/2014 19:38:54
ABC123456789 Mode 2 Deauthorized 11/18/2014 19:38:54 11/18/2014 20:07:52
ABC123456789 Mode 2 Authorized 11/18/2014 20:07:52 12/17/2014 19:22:50
ABC123456789 Mode 2 Authorized 12/17/2014 19:22:50 02/25/2015 20:03:44
ABC123456789 Mode 2 Authorized 02/25/2015 20:03:44 02/25/2015 20:03:48
ABC123456789 Mode 3 Authorized 02/25/2015 20:03:48 02/25/2015 20:14:05
ABC123456789 Mode 3 Deauthorized 02/25/2015 20:14:05 02/25/2015 20:14:29
ABC123456789 Mode 3 Deauthorized 02/25/2015 20:14:29 02/25/2015 20:40:21

我想获得一个汇总数据,其中事件列中的值与之前的值发生了变化。数据点按开始时间戳的升序排列。我尝试了 window 功能,但它对我不起作用。结果看起来类似于我在下面 table 中显示的结果。您能为此提出任何优化的解决方案吗?

VIN Mode event Start End
ABC123456789 Mode 1 Deauthorized 01/01/2010 00:00:00 05/05/2014 14:54:54
ABC123456789 Mode 1 Authorized 11/13/2014 22:26:32 11/13/2014 22:31:00
ABC123456789 Mode 2 Deauthorized 11/14/2014 01:23:56 11/18/2014 19:38:51
ABC123456789 Mode 2 Authorized 11/18/2014 20:07:52 12/17/2014 19:22:50
ABC123456789 Mode 3 Deauthorized 02/25/2015 20:14:05 02/25/2015 20:14:29

您可以使用 lag():

select t.*
from (select t.*, 
             lag(event) over (partition by vin order by start) as prev_event
      from t
     ) t
where prev_event is null or prev_event <> event;

这会查看时间和 vin 的变化。我不确定 mode 是否也相关。如果是这样,请将其添加到 partition by.