如何使用 SQL 计算列中非连续值的个数?

How to count number of non-consecutive values in a column using SQL?

跟进我的问题 。假设我在 Oracle 数据库中有一个 table,如下所示 (table_1),它跟踪特定个人的服务参与情况:

name  day  srvc_ inv
bill  1  1
bill  2  1
bill  3  0
bill  4  0
bill  5  1
bill  6  0
susy  1  1
susy  2  0
susy  3  1
susy  4  0
susy  5  1

我的目标是获得一份摘要table,其中列出了所有唯一个人是否涉及服务以及不同服务事件的数量(在本例中为 2 个 bill,3 个用于 susy),几天内 activity 中的中断标识了一个明显的服务事件。

要获得 任何 服务参与,我将使用以下查询

SELECT table_1."Name", MAX(table_1."Name") AS "any_invl"
FROM table_1
GROUP BY table_1."Name"

但是,我不知道如何获得服务参与的数量 (2)。在 R 中使用静态数据帧,您将使用 运行 长度编码(请参阅我的原始问题),但我不知道如何在 SQL 中完成此操作。此操作将 运行 处理大量记录,因此将整个数据帧存储为一个对象然后 运行 它在 R 中是不切实际的。

编辑: 我的预期输出如下:

name  any_invl  n_srvc_inv
bill  1  2
susy  1  3

感谢您的帮助!

是这样的吗?

SQL> with test (name, day, srvc_inv) as
  2    (select 'bill', 1, 1 from dual union all
  3     select 'bill', 2, 1 from dual union all
  4     select 'bill', 3, 0 from dual union all
  5     select 'bill', 4, 0 from dual union all
  6     select 'bill', 5, 1 from dual union all
  7     select 'bill', 6, 0 from dual union all
  8     select 'susy', 1, 1 from dual union all
  9     select 'susy', 2, 0 from dual union all
 10     select 'susy', 3, 1 from dual union all
 11     select 'susy', 4, 0 from dual union all
 12     select 'susy', 5, 1 from dual
 13    ),
 14  inter as
 15    (select name, day, srvc_inv,
 16       nvl(lead(srvc_inv) over (partition by name order by day), 0) lsrvc
 17     from test
 18    )
 19  select name,
 20    sum(case when srvc_inv <> lsrvc and lsrvc = 0 then 1
 21             else 0
 22        end) grp
 23  from inter
 24  group by name;

NAME        GRP
---- ----------
bill          2
susy          3

SQL>

你可以试试下面的查询,有LAG函数来处理srvc_invl

中的变化
select name, 1 any_invl, count(case when diff = 1 then 1 end) n_srvc_inv
from (select name, day, srvc_inv - LAG(srvc_inv, 1, 0) OVER(ORDER BY name, day) diff
      from tab
      order by name, day) temp
group by name

Here就是fiddle供大家参考。

我建议使用 lag()。这个想法是计算一个“1”,但只有当前面的值为零或 null:

select name, count(*)
from (select t.*,
             lag(srvc_inv) over (partition by name order by day) as prev_srvc_inv
      from t
     ) t
where (prev_srvc_inv is null or prev_srvc_inv = 0) and
      srvc_inv = 1
group by name;

您可以使用 lag() 的默认值稍微简化一下:

select name, count(*)
from (select t.*,
             lag(srvc_inv, 1, 0) over (partition by name order by day) as prev_srvc_inv
      from t
     ) t
where prev_srvc_inv = 0 and srvc_inv = 1
group by name;