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
在Azure SQL数据库(基于Microsoft SQL Server但不完全相同的东西)中，STRING_SPLIT函数的签名看起来像这样:
STRING_SPLIT ( string , separator [ , enable_ordinal ] )
当enable_ordinal标志设置为1时，结果将包括一个名为ordinal的列，该列由输入字符串中子字符串的基于1的位置组成:
SELECT *
FROM STRING_SPLIT('hello john smith', ' ', 1)
| value | ordinal |
|-------|---------|
| hello | 1 |
| john | 2 |
| smith | 3 |
这允许我们这样做:
SELECT value
FROM STRING_SPLIT('hello john smith', ' ', 1)
WHERE ordinal = 2
| value |
|-------|
| john |
如果enable_ordinal不可用，则有一个技巧，即假定输入字符串中的子字符串是惟一的。在这种情况下，CHAR_INDEX可以用来查找子字符串在输入字符串中的位置:
SELECT value, ROW_NUMBER() OVER (ORDER BY CHARINDEX(value, input_str)) AS ord_pos
FROM (VALUES
('hello john smith')
) AS x(input_str)
CROSS APPLY STRING_SPLIT(input_str, ' ')
| value | ord_pos |
|-------+---------|
| hello | 1 |
| john | 2 |
| smith | 3 |
其他回答
我一直在使用vzczc的答案使用递归cte的一段时间，但一直想更新它来处理可变长度分隔符，也处理字符串与前驱和滞后“分隔符”，如当你有一个csv文件的记录，如:
“鲍勃”,“史密斯”桑尼维尔”,“CA”
或者当你处理如下所示的六部分fqn时。我广泛地使用这些来记录subject_fqn的审计，错误处理等，parsename只处理四个部分:
[netbios_name].[machine_name].[instance].[database].[schema].[table].[column]
这是我的更新版本，感谢vzczc的原始帖子!
select * from [utility].[split_string](N'"this"."string"."gets"."split"."and"."removes"."leading"."and"."trailing"."quotes"', N'"."', N'"', N'"');
select * from [utility].[split_string](N'"this"."string"."gets"."split"."but"."leaves"."leading"."and"."trailing"."quotes"', N'"."', null, null);
select * from [utility].[split_string](N'[netbios_name].[machine_name].[instance].[database].[schema].[table].[column]', N'].[', N'[', N']');
create function [utility].[split_string] (
@input [nvarchar](max)
, @separator [sysname]
, @lead [sysname]
, @lag [sysname])
returns @node_list table (
[index] [int]
, [node] [nvarchar](max))
begin
declare @separator_length [int]= len(@separator)
, @lead_length [int] = isnull(len(@lead), 0)
, @lag_length [int] = isnull(len(@lag), 0);
--
set @input = right(@input, len(@input) - @lead_length);
set @input = left(@input, len(@input) - @lag_length);
--
with [splitter]([index], [starting_position], [start_location])
as (select cast(@separator_length as [bigint])
, cast(1 as [bigint])
, charindex(@separator, @input)
union all
select [index] + 1
, [start_location] + @separator_length
, charindex(@separator, @input, [start_location] + @separator_length)
from [splitter]
where [start_location] > 0)
--
insert into @node_list
([index],[node])
select [index] - @separator_length as [index]
, substring(@input, [starting_position], case
when [start_location] > 0
then
[start_location] - [starting_position]
else
len(@input)
end) as [node]
from [splitter];
--
return;
end;
go
你可以在SQL中拆分字符串，而不需要函数:
DECLARE @bla varchar(MAX)
SET @bla = 'BED40DFC-F468-46DD-8017-00EF2FA3E4A4,64B59FC5-3F4D-4B0E-9A48-01F3D4F220B0,A611A108-97CA-42F3-A2E1-057165339719,E72D95EA-578F-45FC-88E5-075F66FD726C'
-- http://stackoverflow.com/questions/14712864/how-to-query-values-from-xml-nodes
SELECT
x.XmlCol.value('.', 'varchar(36)') AS val
FROM
(
SELECT
CAST('<e>' + REPLACE(@bla, ',', '</e><e>') + '</e>' AS xml) AS RawXml
) AS b
CROSS APPLY b.RawXml.nodes('e') x(XmlCol);
如果需要支持任意字符串(带有xml特殊字符)
DECLARE @bla NVARCHAR(MAX)
SET @bla = '<html>unsafe & safe Utf8CharsDon''tGetEncoded ÄöÜ - "Conex"<html>,Barnes & Noble,abc,def,ghi'
-- http://stackoverflow.com/questions/14712864/how-to-query-values-from-xml-nodes
SELECT
x.XmlCol.value('.', 'nvarchar(MAX)') AS val
FROM
(
SELECT
CAST('<e>' + REPLACE((SELECT @bla FOR XML PATH('')), ',', '</e><e>') + '</e>' AS xml) AS RawXml
) AS b
CROSS APPLY b.RawXml.nodes('e') x(XmlCol);
递归CTE解决方案与服务器疼痛，测试它
MS SQL Server 2008模式设置:
create table Course( Courses varchar(100) );
insert into Course values ('Hello John Smith');
查询1:
with cte as
( select
left( Courses, charindex( ' ' , Courses) ) as a_l,
cast( substring( Courses,
charindex( ' ' , Courses) + 1 ,
len(Courses ) ) + ' '
as varchar(100) ) as a_r,
Courses as a,
0 as n
from Course t
union all
select
left(a_r, charindex( ' ' , a_r) ) as a_l,
substring( a_r, charindex( ' ' , a_r) + 1 , len(a_R ) ) as a_r,
cte.a,
cte.n + 1 as n
from Course t inner join cte
on t.Courses = cte.a and len( a_r ) > 0
)
select a_l, n from cte
--where N = 1
结果:
| A_L | N |
|--------|---|
| Hello | 0 |
| John | 1 |
| Smith | 2 |
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。
I realize this is a really old question, but starting with SQL Server 2016 there are functions for parsing JSON data that can be used to specifically address the OP's question--and without splitting strings or resorting to a user-defined function. To access an item at a particular index of a delimited string, use the JSON_VALUE function. Properly formatted JSON data is required, however: strings must be enclosed in double quotes " and the delimiter must be a comma ,, with the entire string enclosed in square brackets [].
DECLARE @SampleString NVARCHAR(MAX) = '"Hello John Smith"';
--Format as JSON data.
SET @SampleString = '[' + REPLACE(@SampleString, ' ', '","') + ']';
SELECT
JSON_VALUE(@SampleString, '$[0]') AS Element1Value,
JSON_VALUE(@SampleString, '$[1]') AS Element2Value,
JSON_VALUE(@SampleString, '$[2]') AS Element3Value;
输出
Element1Value Element2Value Element3Value
--------------------- ------------------- ------------------------------
Hello John Smith
(1 row affected)
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