显示 case 表达式中的空白行
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【中文标题】显示 case 表达式中的空白行【英文标题】:Display blank rows from a case expression 【发布时间】:2019-07-15 14:14:21 【问题描述】:我正在编写一个 sql 报告,对我提出的要求之一是包含 CASE 表达式的两个选项的行。
该报告用于显示数据库中所有客户与 3 个选定客户中的每一个之间的“成本计算”和“非成本计算”交易的计数。
请查看所需的示例布局。
CUSTOMER_ID | CUSTOMER_NAME | COSTING | CUST_1 | CUST_2 | CUST_3
12 | Red Corp | Non-costing | 1245 | 734 | 84
12 | Red Corp | Costing | 376 | 23 | 2
17 | Blue Corp | Non-costing | 4538 | 36 | 3256
17 | Blue Corp | Costing | 0 | 0 | 0
...
我已尝试将 COSTING 列放在 case 语句中。但是,由于它是空白的,因此我无法在输出中显示示例“Blue Corp”“成本核算”行。
select CUSTOMER_ID
,CUSTOMER_NAME
,case
when PURCHASE_VALUE = 0 or PURCHASE_VALUE is null then 'Non-costing'
when PURCHASE_VALUE != 0 or PURCHASE_VALUE is not null then 'Costing'
end AS COSTING
,count(CASE WHEN CUSTOMER_ID = 11 then 1 ELSE NULL END) as "CUST_1"
,count(CASE WHEN CUSTOMER_ID = 22 then 1 ELSE NULL END) as "CUST_2"
,count(CASE WHEN CUSTOMER_ID = 33 then 1 ELSE NULL END) as "CUST_3"
from schema.CUSTOMER_TRANSACTIONS
group by case
when PURCHASE_VALUE = 0 or PURCHASE_VALUE is null then 'Non-costing'
when PURCHASE_VALUE != 0 or PURCHASE_VALUE is not null then 'Costing'
end
,CUSTOMER_ID
,CUSTOMER_NAME
我目前得到的结果与示例相同,但缺少 0 计数行。 请在下面查看我目前得到的输出。
CUSTOMER_ID | CUSTOMER_NAME | COSTING | CUST_1 | CUST_2 | CUST_3
12 | Red Corp | Non-costing | 1245 | 734 | 84
12 | Red Corp | Costing | 376 | 23 | 2
17 | Blue Corp | Non-costing | 4538 | 36 | 3256
...
【问题讨论】:
我无法理解您的问题?你能提供你期望的结果吗 我希望它看起来像顶部的示例表。 目前你得到了什么输出?你也可以发一下吗 这似乎是由于您的客户端应用程序的格式问题。你用什么来运行 SQL? Standin.Wolf 我已经更新了问题以包含我当前输出的清晰示例。 【参考方案1】:使用cross join
生成行,使用left join
添加列:
select c.CUSTOMER_ID, c.CUSTOMER_NAME, t.costing,
sum(CASE WHEN CUSTOMER_ID = 11 then 1 ELSE 0 END) as CUST_1,
sum(CASE WHEN CUSTOMER_ID = 22 then 1 ELSE 0 END) as CUST_2,
sum(CASE WHEN CUSTOMER_ID = 33 then 1 ELSE 0 END) as CUST_3
from (select distinct ct.customer_id, ct.customer_name
from schema.CUSTOMER_TRANSACTIONS ct
) c cross join
(select 'Non-costing' as costing from dual union all
select 'Costing' from dual
) t left join
schema.customer_transactions ct
on c.customer_id = ct.customer_id,
t.costing = (case when PURCHASE_VALUE = 0 or PURCHASE_VALUE is null
then 'Non-costing'
else 'Costing'
end)
group by c.CUSTOMER_ID, c.CUSTOMER_NAME, t.type;
【讨论】:
【参考方案2】:根据您的评论,
Alex Poole,您是对的,没有“成本核算”数据 “蓝色公司”。但是我希望该行显示为 0 而不是 完全出现了。
我认为您需要生成其中一个costings不可用的记录。
我尝试创建查询,如果“成本核算”或“非成本核算”记录对任何客户均不可用,则该查询将生成记录。
我无法对其进行测试,所以如果您遇到任何问题,请分享。
-- Your original query starts from here
WITH DATAA AS (select CUSTOMER_ID
,CUSTOMER_NAME
,case
when PURCHASE_VALUE = 0 or PURCHASE_VALUE is null then 'Non-costing'
when PURCHASE_VALUE != 0 or PURCHASE_VALUE is not null then 'Costng'
end AS COSTING
,count(CASE WHEN CUSTOMER_ID = 11 then 1 ELSE NULL END) as "CUST_1"
,count(CASE WHEN CUSTOMER_ID = 22 then 1 ELSE NULL END) as "CUST_2"
,count(CASE WHEN CUSTOMER_ID = 33 then 1 ELSE NULL END) as "CUST_3"
from schema.CUSTOMER_TRANSACTIONS
group by case
when PURCHASE_VALUE = 0 or PURCHASE_VALUE is null then 'Non-costing'
when PURCHASE_VALUE != 0 or PURCHASE_VALUE is not null then 'Costing'
end
,CUSTOMER_ID
,CUSTOMER_NAME)
-- Your original query ends here
-- Solution
SELECT
CUSTOMER_ID,
CUSTOMER_NAME,
COSTING,
CUST_1,
CUST_2,
CUST_3
FROM
DATAA
UNION ALL
( SELECT
CUSTOMER_ID,
CUSTOMER_NAME,
CASE
WHEN COUNT(CASE
WHEN COSTING = 'Non-costing' THEN 1
END) = 0 THEN 'Non-costing'
WHEN COUNT(CASE
WHEN COSTING = 'Costing' THEN 1
END) = 0 THEN 'Costing'
END AS COSTING,
0,
0,
0
FROM
DATAA D1
GROUP BY
CUSTOMER_ID,
CUSTOMER_NAME
HAVING ( COUNT(CASE
WHEN COSTING = 'Non-costing' THEN 1
END) = 0
OR COUNT(CASE
WHEN COSTING = 'Costng' THEN 1
END) = 0 )
);
干杯!!
【讨论】:
这很完美,它完全解决了我的问题。谢谢。【参考方案3】:你可以试试这个。如果没有,它会给你 0。
select CUSTOMER_ID
,CUSTOMER_NAME
, CASE WHEN ISNULL(PURCHASE_Value,0) = 0 THEN 'Non-costing' ELSE 'Costing' END
,SUM(CASE WHEN CUSTOMER_ID = 11 then 1 ELSE 0 END) as "CUST_1"
,SUM(CASE WHEN CUSTOMER_ID = 22 then 1 ELSE 0 END) as "CUST_2"
,SUM(CASE WHEN CUSTOMER_ID = 33 then 1 ELSE 0 END) as "CUST_3"
from schema.CUSTOMER_TRANSACTIONS
group by CUSTOMER_ID
,CUSTOMER_NAME
,PURCHASE_Value
【讨论】:
你不认为这会出错,因为PURCHASE_Value
直接用于SELECT
而不是GROUP BY
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