Analizar cadena separada por comas para hacer EN la Lista de cadenas en la cláusula Where

Question

Analizar cadena separada por comas para hacer EN la Lista de cadenas en la cláusula Where

Mi procedimiento almacenado recibe un parámetro que es una cadena separada por comas:

DECLARE @Account AS VARCHAR(200)
SET @Account = 'SA,A'

Necesito hacer de ella esta declaración:

WHERE Account IN ('SA', 'A')

¿Cuál es la mejor práctica para hacer esto?

24

sql sql-server tsql sql-server-2008

Author: marc_s, 2013-07-05

Source

3 answers

Prueba este -

DDL:

CREATE TABLE dbo.Table1 (
      [EmpId] INT
    , [FirstName] VARCHAR(7)
    , [LastName] VARCHAR(10)
    , [domain] VARCHAR(6)
    , [Vertical] VARCHAR(10)
    , [Account] VARCHAR(50)
    , [City] VARCHAR(50)
)

INSERT INTO dbo.Table1 ([EmpId], [FirstName], [LastName], [Vertical], [Account], [domain], [City])
VALUES 
     (345, 'Priya', 'Palanisamy', 'DotNet', 'LS', 'Abbott', 'Chennai'),
     (346, 'Kavitha', 'Amirtharaj', 'DotNet', 'CG', 'Diageo', 'Chennai'),
     (647, 'Kala', 'Haribabu', 'DotNet', 'DotNet', 'IMS', 'Chennai')

Consulta:

DECLARE @Account VARCHAR(200)
SELECT @Account = 'CG,LS'

SELECT *
FROM Table1
WHERE [Vertical] = 'DotNet' AND (ISNULL(@Account, '') = '' OR Account IN (
     SELECT t.c.value('.', 'VARCHAR(20)')
     FROM (
         SELECT x = CAST('<t>' + 
               REPLACE(@Account, ',', '</t><t>') + '</t>' AS XML)
     ) a
     CROSS APPLY x.nodes('/t') t(c)
))

Salida:

proff

Estadísticas extendidas:

stat

SSMS ESTABLECER ESTADÍSTICAS TIEMPO + IO:

XML:

(3720 row(s) affected)
Table 'temp'. Scan count 3, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

 SQL Server Execution Times:
   CPU time = 187 ms,  elapsed time = 242 ms.

CTE:

(3720 row(s) affected)
Table '#BF78F425'. Scan count 360, logical reads 360, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'temp'. Scan count 1, logical reads 7, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

 SQL Server Execution Times:
   CPU time = 281 ms,  elapsed time = 335 ms.

4

Author: Devart,
Warning: date(): Invalid date.timezone value 'Europe/Kyiv', we selected the timezone 'UTC' for now. in /var/www/agent_stack/data/www/ajaxhispano.com/template/agent.layouts/content.php on line 61
2013-07-05 09:11:28

La forma más eficiente es usar la función CLR para la cadena dividida. Ver este artículo para ejemplos y comparación de rendimiento

2

Author: Alexander Sigachov,
Warning: date(): Invalid date.timezone value 'Europe/Kyiv', we selected the timezone 'UTC' for now. in /var/www/agent_stack/data/www/ajaxhispano.com/template/agent.layouts/content.php on line 61
2013-07-05 05:35:56

score 30 · Accepted Answer

Crear esta función (sqlserver 2005+)

CREATE function [dbo].[f_split]
(
@param nvarchar(max), 
@delimiter char(1)
)
returns @t table (val nvarchar(max), seq int)
as
begin
set @param += @delimiter

;with a as
(
select cast(1 as bigint) f, charindex(@delimiter, @param) t, 1 seq
union all
select t + 1, charindex(@delimiter, @param, t + 1), seq + 1
from a
where charindex(@delimiter, @param, t + 1) > 0
)
insert @t
select substring(@param, f, t - f), seq from a
option (maxrecursion 0)
return
end

Utilice esta declaración

SELECT *
FROM yourtable 
WHERE account in (SELECT val FROM dbo.f_split(@account, ','))

Comparando mi función split con XML split:

Datos de prueba:

select top 100000 cast(a.number as varchar(10))+','+a.type +','+ cast(a.status as varchar(9))+','+cast(b.number as varchar(10))+','+b.type +','+ cast(b.status as varchar(9)) txt into a 
from master..spt_values a cross join master..spt_values b

XML:

 SELECT count(t.c.value('.', 'VARCHAR(20)'))
 FROM (
     SELECT top 100000 x = CAST('<t>' + 
           REPLACE(txt, ',', '</t><t>') + '</t>' AS XML)
           from a
 ) a
 CROSS APPLY x.nodes('/t') t(c)

Elapsed time: 1:21 seconds

F_split:

select count(*) from a cross apply clausens_base.dbo.f_split(a.txt, ',')

Elapsed time: 43 seconds

Esto cambiará de una carrera a otra, pero se tiene la idea