April 29, 2010 at 5:28 pm
I'm taking some of my old queries, and I'm practicing ways to make them more set based to improve my SQL thinking.
Here is some simple code I have used forever to take a table with a delimited list and put each entry into its own row.
It works well, but I'm sure you experts can help me turn it into a true set based query as I'm having problems coming up with better logic. Here's the code I currently use:
WHILE EXISTS(SELECT TOP 1 '' FROM #LEGACYDOCS WHERE CHARINDEX(';',LEGACY_BEGDOC) <> 0)
BEGIN
INSERT INTO #LEGACYDOCS
SELECT SUBSTRING(LEGACY_BEGDOC,1,CHARINDEX(';',LEGACY_BEGDOC)-1)
FROM #LEGACYDOCS
WHERE CHARINDEX(';',LEGACY_BEGDOC) <> 0
UPDATE #LEGACYDOCS
SET LEGACY_BEGDOC = SUBSTRING(LEGACY_BEGDOC,CHARINDEX(';',LEGACY_BEGDOC)+1,10000)
WHERE CHARINDEX(';',LEGACY_BEGDOC) <> 0
END
And here's an example table
LEGACY_BEGDOC
BOB
Jim;Billy;Greg
Tim;Clinton
Sam
That would be converted to this:
Bob
Jim
Billy
Greg
Tim
Clinton
Sam
Any help would be appreciated
April 29, 2010 at 8:09 pm
Use this function:
CREATE FUNCTION [dbo].[DelimitedSplit] (
@list varchar(max),
@Delimiter char(1)
)
RETURNS TABLE
AS
RETURN
-- first, need to break down into separate items.
-- See Jeff Moden's article The "Numbers" or "Tally" Table: What it is and how it replaces a loop.
-- at http://www.sqlservercentral.com/articles/T-SQL/62867/ for how a tally table can split strings apart.
WITH Tens (N) AS (SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 ),
Thousands (N) AS (SELECT 1 FROM Tens t1 CROSS JOIN Tens t2 CROSS JOIN Tens t3),
Millions (N) AS (SELECT 1 FROM Thousands t1 CROSS JOIN Thousands t2),
Tally (N) AS (SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 0)) FROM Millions),
ItemSplit (ItemOrder, Item) AS (
SELECT N,
RTRIM(LTRIM(SUBSTRING(@Delimiter + @list + @Delimiter,N+1,
CHARINDEX(@Delimiter,@Delimiter + @list + @Delimiter,N+1)-N-1)))
FROM Tally
WHERE N < LEN(@Delimiter + @list + @Delimiter)
AND SUBSTRING(@Delimiter + @list + @Delimiter,N,1) = @Delimiter
)
SELECT ItemID = ROW_NUMBER() OVER (ORDER BY ItemOrder),
Item
FROM ItemSplit
GO
And call it like so:
DECLARE @test-2 TABLE (ID int IDENTITY, Col1 varchar(max))
INSERT INTO @test-2
SELECT 'BOB' UNION ALL
SELECT 'Jim;Billy;Greg' UNION ALL
SELECT 'Tim;Clinton' UNION ALL
SELECT 'Sam'
select t1.ID,
ds.*
from @test-2 t1
CROSS
APPLY dbo.DelimitedSplit(t1.Col1, ';') ds
Edit: corrected name misspelling
Wayne
Microsoft Certified Master: SQL Server 2008
Author - SQL Server T-SQL Recipes
April 30, 2010 at 5:31 am
See if this helps
April 30, 2010 at 5:29 pm
Thanks guys. I just got exposed recently to the concept of Tally Tables so I took a look again and it will provide exactly what I need. Thank you!
May 3, 2010 at 3:26 am
Nine times out of ten a SQLCLR solution is faster than the Tally table and uses fewer resources:
This by MVP Adam Machanic:
Performance comparison:
http://florianreischl.blogspot.com/2009/09/high-performance-string-split-functions.html
Sample code:
CREATE ASSEMBLY Utility
AUTHORIZATION dbo
FROM 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WITH PERMISSION_SET = SAFE
GO
CREATE FUNCTION dbo.SplitString_Multi
(
@Input NVARCHAR(MAX),
@Delimiter NVARCHAR(255)
)
RETURNS TABLE
(
item NVARCHAR(4000) NULL
)
AS
EXTERNAL NAME Utility.UserDefinedFunctions.SplitString_Multi
GO
SELECT SSM.item
FROM dbo.SplitString_Multi(N'ABC,DEF,GH,I,JKL,MN,OPQRS,T,UV,WXY,Z', N',') SSM;
Paul White
SQLPerformance.com
SQLkiwi blog
@SQL_Kiwi
May 3, 2010 at 5:41 pm
Paul White NZ (5/3/2010)
Nine times out of ten a SQLCLR solution is faster than the Tally table and uses fewer resources:
... for string splits.
--Jeff Moden
Change is inevitable... Change for the better is not.
May 3, 2010 at 8:36 pm
Jeff Moden (5/3/2010)
Paul White NZ (5/3/2010)
Nine times out of ten a SQLCLR solution is faster than the Tally table and uses fewer resources:... for string splits.
Yes 🙂
There are plenty of other problems where a Tally table solution is fastest - it's all about using the right tool for the job.
Paul White
SQLPerformance.com
SQLkiwi blog
@SQL_Kiwi
May 4, 2010 at 5:25 am
Paul White NZ (5/3/2010)
Jeff Moden (5/3/2010)
Paul White NZ (5/3/2010)
Nine times out of ten a SQLCLR solution is faster than the Tally table and uses fewer resources:... for string splits.
Yes 🙂
There are plenty of other problems where a Tally table solution is fastest - it's all about using the right tool for the job.
Heh... sorry... I was being a bit of an "SA".... I 100% agree about the right tool for the right job. I just didn't want folks to think that either a SQLCLR solution or a Tally table was a panacea.
--Jeff Moden
Change is inevitable... Change for the better is not.
May 4, 2010 at 6:12 am
Jeff Moden (5/4/2010)
Heh... sorry... I was being a bit of an "SA".... I 100% agree about the right tool for the right job. I just didn't want folks to think that either a SQLCLR solution or a Tally table was a panacea.
I didn't interpret it that way - I thought you were very restrained actually!
You were right to pick me up on that - it did sound like I was saying that SQLCLR routines are always faster than T-SQL using Tally tables, which is certainly not even remotely the case 😎
Paul White
SQLPerformance.com
SQLkiwi blog
@SQL_Kiwi
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