. 这似乎为您的示例数据生成了正确的结果（这是一个MySQL FIDLE，因为据我所知没有BQ FIDLE，但逻辑是相同的，这是标准SQL）。谢谢你的及时回复。我将您的解决方案插入到我的查询中，但它不会输出我要查找的内容。让我们以第3个活动块为例，它由第3

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. 这似乎为您的示例数据生成了正确的结果（这是一个MySQL FIDLE，因为据我所知没有BQ FIDLE，但逻辑是相同的，这是标准SQL）。谢谢你的及时回复。我将您的解决方案插入到我的查询中，但它不会输出我要查找的内容。让我们以第3个活动块为例，它由第3行和第4行组成。我没有将其合并成一行，而是返回到原始行，其中datetime_end等于前一行的datetime_end。@ronencozen:。这似乎为您的示例数据生成了正确的结果（这是一个MySQL FIDLE，因为据我所知没有BQ FIDLE，但逻辑是相同的，这是标准SQL）@罗南曾。不，如果修改后的问题使答案无效，我不会看。更好的方法是问一个新问题。我明白了，谢谢你对我原来的问题给出了一个很好的回答。@Ronenczen。不，如果修改后的问题使答案无效，我不会看。更好的方法是问一个新问题。我明白了，谢谢你对我原来的问题给出了一个很好的回答。

create table activity as
select "2020-02-25T09:06:12" as datetime_start,  "2020-02-25T09:07:31" as datetime_end, 0 as flag uniuon all 
select "2020-02-25T09:16:08" as datetime_start,  "2020-02-25T09:17:31" as datetime_end, 0 as flag uniuon all 
select "2020-02-25T09:17:31" as datetime_start,  "2020-02-25T09:27:31" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T09:27:31" as datetime_start,  "2020-02-25T09:32:41" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T09:35:57" as datetime_start,  "2020-02-25T09:37:31" as datetime_end, 0 as flag uniuon all 
select "2020-02-25T09:49:23" as datetime_start,  "2020-02-25T09:51:16" as datetime_end, 0 as flag uniuon all 
select "2020-02-25T09:51:16" as datetime_start,  "2020-02-25T10:03:46" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T10:03:46" as datetime_start,  "2020-02-25T10:05:57" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T10:05:57" as datetime_start,  "2020-02-25T10:07:31" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T10:07:31" as datetime_start,  "2020-02-25T10:10:22" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T10:10:22" as datetime_start,  "2020-02-25T10:12:55" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T10:12:55" as datetime_start,  "2020-02-25T10:20:17" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T10:20:17" as datetime_start,  "2020-02-25T10:27:40" as datetime_end, 1 as flag uniuon all 
select "2020-02-25T10:27:40" as datetime_start,  "2020-02-25T10:39:51" as datetime_end, 1 as flag;

select
    min(datetime_start) datetime_stat,
    max(datetime_end) datetime_end,
    flag
from (
    select
        t.*,
        sum(case when flag = 1 and lag_flag = 1 then 0 else 1 end) 
            over(order by datetime_start) grp
    from (
        select 
            t.*,
            lag(flag) over(order by datetime_start) lag_flag
        from mytable t
    ) t
) t
group by flag, grp

with activity as (
    select "2020-02-25T09:06:12" as datetime_start,  "2020-02-25T09:07:31" as datetime_end, 0 as flag union all 
    select "2020-02-25T09:16:08" as datetime_start,  "2020-02-25T09:17:31" as datetime_end, 0 as flag union all 
    select "2020-02-25T09:17:31" as datetime_start,  "2020-02-25T09:27:31" as datetime_end, 1 as flag union all 
    select "2020-02-25T09:27:31" as datetime_start,  "2020-02-25T09:32:41" as datetime_end, 1 as flag union all 
    select "2020-02-25T09:35:57" as datetime_start,  "2020-02-25T09:37:31" as datetime_end, 0 as flag union all 
    select "2020-02-25T09:49:23" as datetime_start,  "2020-02-25T09:51:16" as datetime_end, 0 as flag union all 
    select "2020-02-25T09:51:16" as datetime_start,  "2020-02-25T10:03:46" as datetime_end, 1 as flag union all 
    select "2020-02-25T10:03:46" as datetime_start,  "2020-02-25T10:05:57" as datetime_end, 1 as flag union all 
    select "2020-02-25T10:05:57" as datetime_start,  "2020-02-25T10:07:31" as datetime_end, 1 as flag union all 
    select "2020-02-25T10:07:31" as datetime_start,  "2020-02-25T10:10:22" as datetime_end, 1 as flag union all 
    select "2020-02-25T10:10:22" as datetime_start,  "2020-02-25T10:12:55" as datetime_end, 1 as flag union all 
    select "2020-02-25T10:12:55" as datetime_start,  "2020-02-25T10:20:17" as datetime_end, 1 as flag union all 
    select "2020-02-25T10:20:17" as datetime_start,  "2020-02-25T10:27:40" as datetime_end, 1 as flag union all 
    select "2020-02-25T10:27:40" as datetime_start,  "2020-02-25T10:39:51" as datetime_end, 1 as flag
    )
select min(datetime_start) as datetime_stat,
       max(datetime_end) as datetime_end,
       flag
from (select a.*,
             countif( datetime_start <> prev_datetime_end OR
                      prev_flag <> flag
                    ) over (order by datetime_start) as grp
       from (select a.*,
                    lag(flag) over (order by datetime_start) as prev_flag,
                    lag(datetime_end) over (order by datetime_start) as prev_datetime_end
             from activity a
            ) a
) t
group by flag, grp