使用SQL Server,我如何分割一个字符串,以便我可以访问项目x?
拿一根“你好,约翰·史密斯”的绳子。我如何通过空格分割字符串并访问索引1应该返回“约翰”的项目?
使用SQL Server,我如何分割一个字符串,以便我可以访问项目x?
拿一根“你好,约翰·史密斯”的绳子。我如何通过空格分割字符串并访问索引1应该返回“约翰”的项目?
当前回答
我在网上寻找解决方案,下面的工作对我来说。 Ref。
然后像这样调用函数:
SELECT * FROM dbo.split('ram shyam hari gopal',' ')
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE FUNCTION [dbo].[Split](@String VARCHAR(8000), @Delimiter CHAR(1))
RETURNS @temptable TABLE (items VARCHAR(8000))
AS
BEGIN
DECLARE @idx INT
DECLARE @slice VARCHAR(8000)
SELECT @idx = 1
IF len(@String)<1 OR @String IS NULL RETURN
WHILE @idx!= 0
BEGIN
SET @idx = charindex(@Delimiter,@String)
IF @idx!=0
SET @slice = LEFT(@String,@idx - 1)
ELSE
SET @slice = @String
IF(len(@slice)>0)
INSERT INTO @temptable(Items) VALUES(@slice)
SET @String = RIGHT(@String,len(@String) - @idx)
IF len(@String) = 0 break
END
RETURN
END
其他回答
通过delimeter函数得到字符串的n个部分:
create function GetStringPartByDelimeter (
@value as nvarchar(max),
@delimeter as nvarchar(max),
@position as int
) returns NVARCHAR(MAX)
AS BEGIN
declare @startPos as int
declare @endPos as int
set @endPos = -1
while (@position > 0 and @endPos != 0) begin
set @startPos = @endPos + 1
set @endPos = charindex(@delimeter, @value, @startPos)
if(@position = 1) begin
if(@endPos = 0)
set @endPos = len(@value) + 1
return substring(@value, @startPos, @endPos - @startPos)
end
set @position = @position - 1
end
return null
end
以及用法:
select dbo.GetStringPartByDelimeter ('a;b;c;d;e', ';', 3)
返回:
c
虽然类似于josejuan基于XML的回答,但我发现只处理一次XML路径,然后旋转稍微更有效:
select ID,
[3] as PathProvidingID,
[4] as PathProvider,
[5] as ComponentProvidingID,
[6] as ComponentProviding,
[7] as InputRecievingID,
[8] as InputRecieving,
[9] as RowsPassed,
[10] as InputRecieving2
from
(
select id,message,d.* from sysssislog cross apply (
SELECT Item = y.i.value('(./text())[1]', 'varchar(200)'),
row_number() over(order by y.i) as rn
FROM
(
SELECT x = CONVERT(XML, '<i>' + REPLACE(Message, ':', '</i><i>') + '</i>').query('.')
) AS a CROSS APPLY x.nodes('i') AS y(i)
) d
WHERE event
=
'OnPipelineRowsSent'
) as tokens
pivot
( max(item) for [rn] in ([3],[4],[5],[6],[7],[8],[9],[10])
) as data
8:30开始
select id,
tokens.value('(/n[3])', 'varchar(100)')as PathProvidingID,
tokens.value('(/n[4])', 'varchar(100)') as PathProvider,
tokens.value('(/n[5])', 'varchar(100)') as ComponentProvidingID,
tokens.value('(/n[6])', 'varchar(100)') as ComponentProviding,
tokens.value('(/n[7])', 'varchar(100)') as InputRecievingID,
tokens.value('(/n[8])', 'varchar(100)') as InputRecieving,
tokens.value('(/n[9])', 'varchar(100)') as RowsPassed
from
(
select id, Convert(xml,'<n>'+Replace(message,'.','</n><n>')+'</n>') tokens
from sysssislog
WHERE event
=
'OnPipelineRowsSent'
) as data
9点20分跑
使用SQL Server 2016及以上版本。使用这段代码修剪字符串,忽略NULL值,并按正确的顺序应用行索引。它也适用于空格分隔符:
DECLARE @STRING_VALUE NVARCHAR(MAX) = 'one, two,,three, four, five'
SELECT ROW_NUMBER() OVER (ORDER BY R.[index]) [index], R.[value] FROM
(
SELECT
1 [index], NULLIF(TRIM([value]), '') [value] FROM STRING_SPLIT(@STRING_VALUE, ',') T
WHERE
NULLIF(TRIM([value]), '') IS NOT NULL
) R
可以利用Number表进行字符串解析。
创建一个物理数字表:
create table dbo.Numbers (N int primary key);
insert into dbo.Numbers
select top 1000 row_number() over(order by number) from master..spt_values
go
创建具有1000000行的测试表
create table #yak (i int identity(1,1) primary key, array varchar(50))
insert into #yak(array)
select 'a,b,c' from dbo.Numbers n cross join dbo.Numbers nn
go
创建函数
create function [dbo].[ufn_ParseArray]
( @Input nvarchar(4000),
@Delimiter char(1) = ',',
@BaseIdent int
)
returns table as
return
( select row_number() over (order by n asc) + (@BaseIdent - 1) [i],
substring(@Input, n, charindex(@Delimiter, @Input + @Delimiter, n) - n) s
from dbo.Numbers
where n <= convert(int, len(@Input)) and
substring(@Delimiter + @Input, n, 1) = @Delimiter
)
go
使用情况(在我的笔记本电脑上40秒内输出3mil行)
select *
from #yak
cross apply dbo.ufn_ParseArray(array, ',', 1)
清理
drop table dbo.Numbers;
drop function [dbo].[ufn_ParseArray]
这里的性能并不惊人,但在100万行表上调用函数并不是最好的主意。如果将字符串拆分到多行,我会避免使用该函数。
使用STRING_SPLIT的现代方法需要SQL Server 2016及以上版本。
DECLARE @string varchar(100) = 'Hello John Smith'
SELECT
ROW_NUMBER() OVER (ORDER BY value) AS RowNr,
value
FROM string_split(@string, ' ')
结果:
RowNr value
1 Hello
2 John
3 Smith
现在可以从行号中得到第n个元素。