4

我有一个客户数据表，其中选定的列如下所示：

Row_ID  Client_ID  Status_ID  From_date           To_date
  1     123456       4        20/12/2007 18:02    20/12/2007 18:07
  2     789087       4        20/12/2007 18:02    20/12/2007 18:07
  3     789087       4        20/12/2007 18:07    20/12/2007 18:50
  4     789087       4        20/12/2007 18:50    21/12/2007 10:38
  5     123456       4        20/12/2007 18:07    20/12/2007 18:50
  6     123456       4        20/12/2007 18:50    21/12/2007 10:38
  7     123456       4        21/12/2007 10:38    21/12/2007 16:39
  8     789087       4        21/12/2007 10:38    21/12/2007 17:54
  9     789087       4        21/12/2007 17:54    21/12/2007 18:32
 10     789087       4        21/12/2007 18:32    22/12/2007 06:48
 11     123456       5        21/12/2007 16:39
 12     789087       5        22/12/2007 06:48    22/12/2007 10:53
 13     789087       4        22/12/2007 10:53    22/12/2007 11:51
 14     789087       5        22/12/2007 11:51

在将数据按 Client_ID 和 From_date 升序排列后，我的目标是在每次将状态与前一行进行比较时，在该客户端的状态发生变化时添加一个计算得出的 Rank_ID。我想要的 Rank_ID 值如下所示：

Row_ID  Client_ID  Status_ID  From_date           To_date            Rank_ID
  1     123456       4        20/12/2007 18:02    20/12/2007 18:07    1
  5     123456       4        20/12/2007 18:07    20/12/2007 18:50    1
  6     123456       4        20/12/2007 18:50    21/12/2007 10:38    1
  7     123456       4        21/12/2007 10:38    21/12/2007 16:39    1
 11     123456       5        21/12/2007 16:39                        2
  2     789087       4        20/12/2007 18:02    20/12/2007 18:07    3
  3     789087       4        20/12/2007 18:07    20/12/2007 18:50    3
  4     789087       4        20/12/2007 18:50    21/12/2007 10:38    3
  8     789087       4        21/12/2007 10:38    21/12/2007 17:54    3
  9     789087       4        21/12/2007 17:54    21/12/2007 18:32    3
 10     789087       4        21/12/2007 18:32    22/12/2007 06:48    3
 12     789087       5        22/12/2007 06:48    22/12/2007 10:53    4
 13     789087       4        22/12/2007 10:53    22/12/2007 11:51    5
 14     789087       5        22/12/2007 11:51                        6

我正在尝试使用 DENSE_RANK 作为分析函数，我的“不正确”SQL 代码如下

SELECT t1.*, DENSE_RANK () OVER (ORDER BY t1.client_id, t1.status_id) rank_id
FROM (SELECT c.client_ID, c.status_id, c.from_date, c.to_date
      FROM client c
      ORDER BY c.client_id, c.from_date) t1
ORDER BY t1.client_id, t1.from_date

但是，我遇到的问题是它给出了编写的 SQL 代码，它计算 Rank_ID 如下：

Row_ID  Client_ID  Status_ID  From_date           To_date            Rank_ID
  1     123456       4        20/12/2007 18:02    20/12/2007 18:07    1
  5     123456       4        20/12/2007 18:07    20/12/2007 18:50    1
  6     123456       4        20/12/2007 18:50    21/12/2007 10:38    1
  7     123456       4        21/12/2007 10:38    21/12/2007 16:39    1
 11     123456       5        21/12/2007 16:39                        2
  2     789087       4        20/12/2007 18:02    20/12/2007 18:07    3
  3     789087       4        20/12/2007 18:07    20/12/2007 18:50    3
  4     789087       4        20/12/2007 18:50    21/12/2007 10:38    3
  8     789087       4        21/12/2007 10:38    21/12/2007 17:54    3
  9     789087       4        21/12/2007 17:54    21/12/2007 18:32    3
 10     789087       4        21/12/2007 18:32    22/12/2007 06:48    3
 12     789087       5        22/12/2007 06:48    22/12/2007 10:53    4
 13     789087       4        22/12/2007 10:53    22/12/2007 11:51    3
 14     789087       5        22/12/2007 11:51                        4

对于记录 13，返回的 Rank_ID 是 3（而我想要 5，与该客户端的先前记录的状态相比，它是该客户端的状态变化），对于记录 14，返回的 Rank_ID 是 4，而我想要6，因为与前一行相比，该客户端的状态再次发生了变化。

我想问题是我的 SQL 按 Client_ID 和 Status_ID 对数据进行排序，所以我可以看到为什么它会产生它给出的答案。问题是无论我对 DENSE_RANK 行进行什么更改，我都无法获得我想要的答案。

任何帮助，将不胜感激。

4

4 回答 4

1

据我了解，这就是您所需要的：

select client_ID, status_id, from_date, to_date, 
       sum(start_of_group) over (order by client_ID, from_date) + 1 rank
  from (SELECT c.client_ID, c.status_id, c.from_date, c.to_date,
               case when lag(c.client_ID, 1, c.client_ID) over (order by c.client_ID, c.from_date) = c.client_ID 
                     and lag(c.status_id, 1, c.status_id) over (order by c.client_ID, c.from_date) = c.status_id
                    then 0 else 1 end start_of_group
          FROM client c)
 order by client_ID, from_date

SQLFiddle

于 2016-01-12T16:39:16.657 回答
0

问题是您需要将排名划分为状态的变化，而不是状态的价值。我在输出中留下了一些额外的列，以便您可以看到它是如何派生的：

WITH dat as (
 SELECT 1 row_id,     123456 client_id,      4 status,       to_date('20/12/2007 18:02','dd/mm/yyyy hh24:mi') frdate,    to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   2 row_id,     789087  client_id,       4 status,        to_date('20/12/2007 18:02','dd/mm/yyyy hh24:mi') frdate,    to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   3 row_id,     789087 client_id,        4  status,       to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') frdate,    to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   4 row_id,     789087 client_id,        4 status,        to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') frdate,    to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   5  row_id,    123456 client_id,        4 status,        to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') frdate,    to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   6 row_id,     123456 client_id,        4 status,        to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') frdate,    to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   7  row_id,    123456 client_id,        4 status,        to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') frdate,    to_date('21/12/2007 16:39','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   8 row_id,     789087  client_id,       4  status,       to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') frdate,    to_date('21/12/2007 17:54','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT   9 row_id,     789087  client_id,       4 status,        to_date('21/12/2007 17:54','dd/mm/yyyy hh24:mi') frdate,    to_date('21/12/2007 18:32','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT  10 row_id,     789087 client_id,        4 status,        to_date('21/12/2007 18:32','dd/mm/yyyy hh24:mi') frdate,    to_date('22/12/2007 06:48','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT  11 row_id,     123456  client_id,       5 status,        to_date('21/12/2007 16:39','dd/mm/yyyy hh24:mi') frdate,    null from dual union all
 SELECT  12 row_id,     789087 client_id,        5 status,        to_date('22/12/2007 06:48','dd/mm/yyyy hh24:mi') frdate,    to_date('22/12/2007 10:53','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT  13 row_id,     789087 client_id,        4  status,       to_date('22/12/2007 10:53','dd/mm/yyyy hh24:mi') frdate,    to_date('22/12/2007 11:51','dd/mm/yyyy hh24:mi') todate from dual union all
 SELECT  14 row_id,     789087 client_id,        5 status,        to_date('22/12/2007 11:51','dd/mm/yyyy hh24:mi') frdate,    null from dual)
SELECT t1.*, DENSE_RANK () OVER (ORDER BY t1.client_id, t1.chg_status) rank_id
FROM (select client_id, status, prev_status, sum(case when nvl(prev_status,-1) != status then 1 else 0 end) over (partition by client_id order by frdate) chg_status, frdate, todate
      from (
      SELECT c.client_ID
           , c.status
           , lag(status) over (partition by client_id order by frdate) as prev_status
           , c.frdate
           , c.todate
      FROM dat c
      ORDER BY c.client_id, c.frdate)) t1
ORDER BY t1.client_id, t1.frdate

回报：

CLIENT_ID, STATUS, PREV_STATUS, CHG_STATUS,  FRDATE,                 TODATE,              RANK_ID
123456,    4,      ,            1,           20/12/2007 6:02:00 PM, 20/12/2007 6:07:00 PM, 1
123456,    4,      4,            1,          20/12/2007 6:07:00 PM, 20/12/2007 6:50:00 PM, 1
123456,    4,      4,            1,          20/12/2007 6:50:00 PM, 21/12/2007 10:38:00 AM, 1
123456,    4,      4,            1,          21/12/2007 10:38:00 AM, 21/12/2007 4:39:00 PM, 1
123456,    5,      4,            2,          21/12/2007 4:39:00 PM,,                       2
789087,    4,      ,            1,           20/12/2007 6:02:00 PM,20/12/2007 6:07:00 PM, 3
789087,    4,      4,            1,          20/12/2007 6:07:00 PM,20/12/2007 6:50:00 PM, 3
789087,    4,      4,            1,          20/12/2007 6:50:00 PM, 21/12/2007 10:38:00 AM, 3
789087,    4,      4,            1,          21/12/2007 10:38:00 AM, 21/12/2007 5:54:00 PM, 3
789087,    4,      4,            1,          21/12/2007 5:54:00 PM, 21/12/2007 6:32:00 PM, 3
789087,    4,      4,            1,          21/12/2007 6:32:00 PM,22/12/2007 6:48:00 AM, 3
789087,    5,      4,            2,          22/12/2007 6:48:00 AM, 22/12/2007 10:53:00 AM, 4
789087,    4,      5,            3,          22/12/2007 10:53:00 AM, 22/12/2007 11:51:00 AM, 5
789087,    5,      4,            4,          22/12/2007 11:51:00 AM,,                      6
于 2016-01-12T16:41:39.767 回答
0

1简单地用（下面的 GRP 列）标记每个客户端的所有状态更改。比使用解析 SUM 函数添加这些数字：

with tab1 as (
select client_id,from_date, status,
 nvl(lag(status) over (partition by client_id  order by from_date),-1) status_lag,
 case when (nvl(lag(status) over (partition by client_id  order by from_date),-1) <> status) then 
 1 end grp
from tst
)
, tab2 as (
select client_id,from_date, status,status_lag, grp,
sum(grp) over (partition by client_id  order by from_date) as RANK
from tab1
)
select * from tab2;

按预期给出

 CLIENT_ID FROM_DATE               STATUS STATUS_LAG        GRP       RANK
---------- ------------------- ---------- ---------- ---------- ----------
      1001 01.10.2015 00:00:00          1         -1          1          1 
      1001 02.10.2015 00:00:00          1          1                     1 
      1001 03.10.2015 00:00:00          2          1          1          2 
      1001 04.10.2015 00:00:00          2          2                     2 
      1001 05.10.2015 00:00:00          3          2          1          3 
      1001 09.10.2015 00:00:00          1          3          1          4 
      1002 12.10.2015 00:00:00          1         -1          1          1 
      1002 13.10.2015 00:00:00          3          1          1          2 
      1002 15.10.2015 00:00:00          3          3                     2

我的设置

 create table tst 
 (client_id number,
 from_date date,
 status number);

 insert into tst values (1001, to_date('01-10-15','dd-mm-rr'),1);
 insert into tst values (1001, to_date('02-10-15','dd-mm-rr'),1);
 insert into tst values (1001, to_date('03-10-15','dd-mm-rr'),2);
 insert into tst values (1001, to_date('04-10-15','dd-mm-rr'),2);
 insert into tst values (1001, to_date('05-10-15','dd-mm-rr'),3);
 insert into tst values (1001, to_date('09-10-15','dd-mm-rr'),1);
 insert into tst values (1002, to_date('12-10-15','dd-mm-rr'),1);
 insert into tst values (1002, to_date('13-10-15','dd-mm-rr'),3); 
 insert into tst values (1002, to_date('15-10-15','dd-mm-rr'),3);
 commit;
于 2016-01-12T16:57:24.183 回答
0

这是使用Tabibitosan的解决方案：

with client as (select 1 row_id, 123456 client_id, 4 status_id, to_date('20/12/2007 18:02','dd/mm/yyyy hh24:mi') from_date, to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') todate from dual union all
                select 2 row_id, 789087 client_id, 4 status_id, to_date('20/12/2007 18:02','dd/mm/yyyy hh24:mi') from_date, to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') todate from dual union all
                select 3 row_id, 789087 client_id, 4 status_id, to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') from_date, to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') todate from dual union all
                select 4 row_id, 789087 client_id, 4 status_id, to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') from_date, to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') todate from dual union all
                select 5 row_id, 123456 client_id, 4 status_id, to_date('20/12/2007 18:07','dd/mm/yyyy hh24:mi') from_date, to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') todate from dual union all
                select 6 row_id, 123456 client_id, 4 status_id, to_date('20/12/2007 18:50','dd/mm/yyyy hh24:mi') from_date, to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') todate from dual union all
                select 7 row_id, 123456 client_id, 4 status_id, to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') from_date, to_date('21/12/2007 16:39','dd/mm/yyyy hh24:mi') todate from dual union all
                select 8 row_id, 789087 client_id, 4 status_id, to_date('21/12/2007 10:38','dd/mm/yyyy hh24:mi') from_date, to_date('21/12/2007 17:54','dd/mm/yyyy hh24:mi') todate from dual union all
                select 9 row_id, 789087 client_id, 4 status_id, to_date('21/12/2007 17:54','dd/mm/yyyy hh24:mi') from_date, to_date('21/12/2007 18:32','dd/mm/yyyy hh24:mi') todate from dual union all
                select 10 row_id, 789087 client_id, 4 status_id, to_date('21/12/2007 18:32','dd/mm/yyyy hh24:mi') from_date, to_date('22/12/2007 06:48','dd/mm/yyyy hh24:mi') todate from dual union all
                select 11 row_id, 123456 client_id, 5 status_id, to_date('21/12/2007 16:39','dd/mm/yyyy hh24:mi') from_date, null from dual union all
                select 12 row_id, 789087 client_id, 5 status_id, to_date('22/12/2007 06:48','dd/mm/yyyy hh24:mi') from_date, to_date('22/12/2007 10:53','dd/mm/yyyy hh24:mi') todate from dual union all
                select 13 row_id, 789087 client_id, 4 status_id, to_date('22/12/2007 10:53','dd/mm/yyyy hh24:mi') from_date, to_date('22/12/2007 11:51','dd/mm/yyyy hh24:mi') todate from dual union all
                select 14 row_id, 789087 client_id, 5 status_id, to_date('22/12/2007 11:51','dd/mm/yyyy hh24:mi') from_date, null from dual)
select row_id,
       client_id,
       status_id,
       from_date,
       todate,
       dense_rank() over (order by client_id, status_id, grp) rank_id
from   (select row_id,
               client_id,
               status_id,
               from_date,
               todate,
               row_number() over (order by client_id, from_date) - row_number() over (partition by status_id order by client_id, from_date) grp -- this is the tabibitosan step
        from   client) t1
order by client_id, from_date, status_id;

    ROW_ID  CLIENT_ID  STATUS_ID FROM_DATE        TODATE              RANK_ID
---------- ---------- ---------- ---------------- ---------------- ----------
         1     123456          4 20/12/2007 06:02 20/12/2007 06:07          1
         5     123456          4 20/12/2007 06:07 20/12/2007 06:50          1
         6     123456          4 20/12/2007 06:50 21/12/2007 10:38          1
         7     123456          4 21/12/2007 10:38 21/12/2007 04:39          1
        11     123456          5 21/12/2007 04:39                           2
         2     789087          4 20/12/2007 06:02 20/12/2007 06:07          3
         3     789087          4 20/12/2007 06:07 20/12/2007 06:50          3
         4     789087          4 20/12/2007 06:50 21/12/2007 10:38          3
         8     789087          4 21/12/2007 10:38 21/12/2007 05:54          3
         9     789087          4 21/12/2007 05:54 21/12/2007 06:32          3
        10     789087          4 21/12/2007 06:32 22/12/2007 06:48          3
        12     789087          5 22/12/2007 06:48 22/12/2007 10:53          5
        13     789087          4 22/12/2007 10:53 22/12/2007 11:51          4
        14     789087          5 22/12/2007 11:51                           6
于 2016-01-12T16:59:17.030 回答