我在SQL Server中有一个包含JSON数据的列,其中包含以下值:
+----+-------------------------------------------------------------+
| ID | Values |
+----+-------------------------------------------------------------+
| 1 | [{"Name":"Test1","Type":null}] |
| 2 | [{"Name":"Test2","Type":null}] |
| 3 | [{"Name":"Test3","Type":null},{"Name":"Test4","Type":null}] |
| 4 | [{"Name":"Test5","Type":null},{"Name":"Test6","Type":null}] |
+----+-------------------------------------------------------------+
我想在SQL中查询上面的表,并希望结果如下:
+----+---------+
| ID | Values |
+----+---------+
| 1 | Test1 |
| 2 | Test2 |
| 3 | Test3 |
| 3 | Test4 |
| 4 | Test5 |
| 4 | Test6 |
+----+---------+
由于您是2014年,如果您对表值函数持开放态度,请考虑以下因素。
厌倦了提取字符串,我修改了一个解析函数来接受两个不相似的分隔符。在这种情况下'"Name":"'
和'"'
例
Select A.ID
,[Values]=B.RetVal
From YourTable A
Cross Apply [dbo].[tvf-Str-Extract]([Values],'"Name":"','"') B
返回
ID Values
1 Test1
2 Test2
3 Test3
3 Test4
4 Test5
4 Test6
功能如果感兴趣
CREATE FUNCTION [dbo].[tvf-Str-Extract] (@String varchar(max),@Delimiter1 varchar(100),@Delimiter2 varchar(100))
Returns Table
As
Return (
with cte1(N) As (Select 1 From (Values(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) N(N)),
cte2(N) As (Select Top (IsNull(DataLength(@String),0)) Row_Number() over (Order By (Select NULL)) From (Select N=1 From cte1 N1,cte1 N2,cte1 N3,cte1 N4,cte1 N5,cte1 N6) A ),
cte3(N) As (Select 1 Union All Select t.N+DataLength(@Delimiter1) From cte2 t Where Substring(@String,t.N,DataLength(@Delimiter1)) = @Delimiter1),
cte4(N,L) As (Select S.N,IsNull(NullIf(CharIndex(@Delimiter1,@String,s.N),0)-S.N,8000) From cte3 S)
Select RetSeq = Row_Number() over (Order By N)
,RetPos = N
,RetVal = left(RetVal,charindex(@Delimiter2,RetVal)-1)
From (
Select *,RetVal = Substring(@String, N, L)
From cte4
) A
Where charindex(@Delimiter2,RetVal)>1
)
如果您不能使用SQL Server 2016或CLR函数并且您的json相当简单,您可以将其转换为xml并使用SQL Server xml support
;with cte1(id, [values]) as (
select 1, '[{"Name":"Test1"}]' union all
select 2, '[{"Name":"Test2"}]' union all
select 3, '[{"Name":"Test3"},{"Name":"Test4"}]' union all
select 4, '[{"Name":"Test5"},{"Name":"Test6"}]'
), cte2 as (
select
id, cast(replace(replace(replace(replace([values],'[{"','<d '),'"}]','" />'),'"},{"','" />, <d '),'":','=') as xml) as [values]
from cte1
)
select
c.id,
t.c.value('@Name', 'nvarchar(128)') as [Values]
from cte2 as c
cross apply c.[values].nodes('d') as t(c)