Question

SQL中的字符串需要根据清除的关键字和清除

进行拆分

Paper Industry cleared by SBI
Chemical Industry cleared by HDFC
SBI clearing for automobile Industry
ICICI clearing for textile industry

我需要根据清除的关键字拆分上面的字符串并清除以获得2列的输出

Output 
Company Name             | Clearer
------------------------------------------
Paper Industry           | SBI
Chemical Industry        | HDFC
automobile Industry      | SBI
textile industry         | ICICI

获得2列公司名称和更清晰。

分割它并在SQL中获取表值结果的最佳方法是什么。

SQL查询会有所帮助。

Answer 1

哎哟。你只需要凌乱的代码：

select t.*,
       (case when col like '% cleared by %'
             then left(col, charindex(' cleared by ', col))
             else stuff(col, 1, charindex(' clearing for ', col) + 13, '')
        end) as company_name,
       (case when col like '% cleared by %'
             then stuff(col, 1, charindex(' cleared by ', col) + 11, '')
             else left(col, charindex(' clearing for ', col))
        end) as clearer
from t;

Here是一个SQL小提琴。

Answer 2

我会将class EmptyAbstractClass(NonEmptyABC): pass class NonemptyAbstractClass(NonEmptyABC): @abc.abstractmethod def foo(self): pass class NonemptyChild(NonemptyAbstractClass): def foo(self): pass NonemptyChild() # works because "foo" is an abstractmethod EmptyAbstractClass() # throws TypeError because there are no abstractmethods与subsring()函数一起使用：

left()

Answer 3

这也可以。希望这有用：）

SELECT 
    CASE
        WHEN [Left] LIKE '%industry' 
        THEN [Left]
        ELSE [Right]
        END [Company Name]
    ,CASE
        WHEN [Left] NOT LIKE '%industry' 
        THEN [Left]
        ELSE [Right]
        END [Clearer]
    FROM
    (
    SELECT 
        CASE 
            WHEN CHARINDEX(' cleared by ', Col) > 0
            THEN LTRIM(RTRIM(LEFT(Col, CHARINDEX(' cleared by ', Col))))
            WHEN CHARINDEX(' clearing for ', Col) > 0
            THEN LTRIM(RTRIM(LEFT(Col, CHARINDEX(' clearing for ', Col))))
            END [Left]
        ,CASE 
            WHEN CHARINDEX(' cleared by ', Col) > 0
            THEN LTRIM(RTRIM(SUBSTRING(Col, CHARINDEX(' cleared by ', Col)+LEN(' cleared by '), LEN(Col))))
            WHEN CHARINDEX(' clearing for ', Col) > 0
            THEN LTRIM(RTRIM(SUBSTRING(Col, CHARINDEX(' clearing for ', Col)+LEN(' clearing for '), LEN(Col))))
            END [Right]
        FROM table_name
    ) T

Answer 4

使用与XML Cross

一起使用的小XML的另一个选项

示例

Declare @YourTable Table (id int,[SomeCol] varchar(50)) Insert Into @YourTable Values (1,'Paper Industry cleared by SBI') ,(2,'Chemical Industry cleared by HDFC') ,(3,'SBI clearing for automobile Industry') ,(4,'ICICI clearing for textile industry') Select CompanyName = XMLData.value('x[1]/@name','varchar(max)') ,Clearer = XMLData.value('x[1]/@code','varchar(max)') From @YourTable A Cross Apply ( values ( convert(xml,case when charindex('cleared by',SomeCol)>0 then '<x name="'+replace(SomeCol,' cleared by ' ,'" code="')+'"/>' else '<x code="'+replace(SomeCol,' clearing for ','" name="')+'"/>' end) ) ) B(XMLData)

<强>返回

CompanyName Clearer Paper Industry SBI Chemical Industry HDFC automobile Industry SBI textile industry ICICI

编辑 - 只是为了好玩，如果来源是一个多行字符串

Declare @S varchar(max) ='Paper Industry cleared by SBI Chemical Industry cleared by HDFC SBI clearing for automobile Industry ICICI clearing for textile industry' Select CompanyName = XMLData.value('x[1]/@name','varchar(max)') ,Clearer = XMLData.value('x[1]/@code','varchar(max)') From ( Select RetVal = B.i.value('(./text())[1]', 'varchar(max)') From (Select x = Cast('<x>' + replace(@S,char(13)+char(10),'</x><x>')+'</x>' as xml).query('.')) as A Cross Apply x.nodes('x') AS B(i) ) A Cross Apply ( values ( convert(xml,case when charindex('cleared by',RetVal)>0 then '<x name="'+replace(RetVal,' cleared by ' ,'" code="')+'"/>' else '<x code="'+replace(RetVal,' clearing for ','" name="')+'"/>' end ) ) ) B(XMLData)

Sql Query将字符串拆分为SQL中的2列

4 个答案: