+-----------+------------+-----------+-----------+
| Person_ID | First_Name | Last_Name | Igroup_ID |
+-----------+------------+-----------+-----------+
| 2 | Rick | Hudson | 100 |
| 2 | Rick | Hudson | 50 |
| 2 | Rick | Hudson | 28 |
| 2 | Rick | Hudson | 15 |
| 3 | John | Hardy | 150 |
| 3 | John | Hardy | 100 |
| 4 | Tom | Johnson | 200 |
| 4 | Tom | Johnson | 150 |
| 4 | Tom | Johnson | 100 |
+-----------+------------+-----------+-----------+
请参考上表使用LISTAGG操作背后的原因,因为我让每个人都与多个Group ID相关联,所以我获得了多个Person ID行,所以我想使用LISTAGG连接Group ID并分离值
由于每个人可以关联的IGROUP值有很多值,但我们担心前2个值,在截图中
什么东西返回100 | 50然后'GroupA' 什么东西返回150 | 100然后'GroupB' 什么东西返回200 | 150然后'GroupC'
(CASE LISTAGG(G.IGROUP_ID , '|') WITHIN GROUP (ORDER BY G.igroup_id)
WHEN '100|50' THEN 'GroupA'
WHEN '150|100' THEN 'GroupB'
WHEN '200|150 THEN 'GroupC'
END) AS SERVICES
但问题是,如果我使用上述方法,我必须在CASE语句中定义所有组合
我有什么方法可以使用WHEN LIKE '100|50%'
那么GroupA
答案 0 :(得分:3)
至于CASE + LIKE,你需要使用所谓的"搜索语法"案例:
CASE WHEN <condition> THEN <result>
[WHEN <condition> THEN <result>
...]
[ELSE <result>]
END
如果你想保持默认的ELSE NULL但不想重复LISTAGG,你需要包装你的查询。 E.g。
SELECT CASE WHEN la LIKE '50|100%' THEN 'Yes'
WHEN la LIKE '100|100%' THEN 'No
END services
FROM ( SELECT LISTAGG(G.IGROUP_ID , '|') WITHIN GROUP (ORDER BY G.igroup_id) la
....
) t
然而,使用LISTAGG测试组条件并不常见。在聚合中使用CASE更常见。例如。检查是否有一个组成员igroup_id = 50,请使用此条件
COUNT(CASE WHEN igroup_id = 50 THEN 1 END) = 1
要实现与LISTAGG方法相同的逻辑(恰好是一个50,至少一个100,没有其他值<100),您可以这样做:
CASE WHEN COUNT(CASE WHEN igroup_id = 50 THEN 1 END) = 1
AND COUNT(CASE WHEN igroup_id = 100 THEN 1 END) >= 1
AND COUNT(CASE WHEN igroup_id < 100 THEN 1 END) = 1 -- one for 50
THEN 'Yes',
WHEN COUNT(CASE WHEN igroup_id = 100 THEN 1 END) >= 2
AND COUNT(CASE WHEN igroup_id < 100 THEN 1 END) = 0
THEN 'No'
END
这可能看起来过于复杂,但很可能复杂性只是因为我重新实施了LISTAGG方法。知道边条件(例如,如果igroup_id恰好是唯一的)可能会使这种方法变得不那么笨重。
以下是我写的一些文章......
... CASE:http://modern-sql.com/feature/case
...在聚合中使用CASE的技巧:http://modern-sql.com/feature/filter
... LISTAGG:http://modern-sql.com/feature/listagg(但我认为使用listagg对你的目的不利)。
答案 1 :(得分:1)
为您感兴趣的每个值创建一个标志列 一旦你拥有它,你可以轻松地做任何你需要的分析。
select person_id
,max (case when igroup_id = 15 then 1 else 0 end) as is_15
,max (case when igroup_id = 28 then 1 else 0 end) as is_28
,max (case when igroup_id = 50 then 1 else 0 end) as is_50
,max (case when igroup_id = 100 then 1 else 0 end) as is_100
,max (case when igroup_id = 150 then 1 else 0 end) as is_150
,max (case when igroup_id = 200 then 1 else 0 end) as is_200
from mytable
group by person_id
order by person_id
+-----------+-------+-------+-------+--------+--------+--------+
| PERSON_ID | IS_15 | IS_28 | IS_50 | IS_100 | IS_150 | IS_200 |
+-----------+-------+-------+-------+--------+--------+--------+
| 2 | 1 | 1 | 1 | 1 | 0 | 0 |
| 3 | 0 | 0 | 0 | 1 | 1 | 0 |
| 4 | 0 | 0 | 0 | 1 | 1 | 1 |
+-----------+-------+-------+-------+--------+--------+--------+
只需提取前两个值并检查它们
(
CASE regexp_substr
(
LISTAGG(G.IGROUP_ID , '|') WITHIN GROUP (ORDER BY G.igroup_id)
,'[^|]*\|[^|]*'
)
WHEN '50|100' THEN 'Yes'
WHEN '100|100' THEN 'No'
END
) AS SERVICES
答案 2 :(得分:1)
您可以在子查询中获取该listagg值,并将其与主表连接,然后根据您的要求编写case语句。
Select t.*, case when list_value like '100|50%' THEN 'GroupA'
WHEN list_value like '150|100%' THEN 'GroupB'
WHEN list_value like '200|150%' THEN 'GroupC' end as services
From
(Select distinct Person_ID,First_Name,Last_Name from urtable) t
Join
(Select Person_ID,
LISTAGG(G.IGROUP_ID , '|') WITHIN GROUP (ORDER BY G.igroup_id desc) list_value from urtable group by Person_ID) g on (t.Person_ID=g.Person_ID)
答案 3 :(得分:0)
根据我的理解,我猜你需要每Person_Id
一条记录以及根据你提供的案例得出的结果,即Group_A/Group_B/Group_C
WITH Test_Result AS
(SELECT person_id,first_name,last_name,listagg(igroup_id,'|') within GROUP
(ORDER BY rownum) list_agg_res FROM sof_3 GROUP BY
person_id,first_name,last_name)
SELECT person_id,first_name,last_name,list_agg_res,
CASE WHEN list_agg_res LIKE '100|50%' THEN 'Group_A'
WHEN list_agg_res LIKE '150|100%' THEN 'Group_B'
WHEN list_agg_res LIKE '200|150%' THEN 'Group_C'
ELSE NULL END Final_Res FROM Test_Result;
希望以上查询有所帮助!!