2013-06-28 6 views
4

Dire que j'ai une colonne dans une base de données qui se compose d'une liste séparée par des virgules des ID (s'il vous plaît ne demandez pas pourquoi :(), soit une colonne comme ceci:CSV d'ID au format CSV des valeurs

id | ids 
---------- 
1 | 1,3,4 
2 | 2 
3 | 1,2,5 

Et une table les ids concernent:

id | thing 
--------------- 
1 | fish 
2 | elephant 
3 | monkey 
4 | mongoose 
5 | kiwi 

Comment puis-je sélectionner une liste séparée par des virgules des choses, sur la base d'un identifiant dans la première table Par exemple, la sélection 1 me donnerait, 'fish,monkey,mongoose', 3 serait donnez-moi 'fish,elephant,kiwi' etc.?

Merci!

+1

Vous ne pouvez pas avec la logique ensembliste. Vous auriez besoin d'un curseur et d'une logique pour analyser les données csv. –

+0

Je ne suis pas d'accord que le curseur est nécessaire. Le fractionnement de la chaîne en valeurs et la concaténation en chaîne après la jointure peuvent être effectués avec un CTE récursif et en utilisant respectivement STUFF et PATH FOR XML. –

+0

@NenadZivkovic seriez-vous en mesure d'élaborer ou de me diriger vers certaines ressources qui pourraient m'aider à comprendre comment mettre en œuvre votre commentaire? Peut-être le mettre comme une réponse? – Valuk

Répondre

4

Essayez cette

SELECT ID, things = STUFF(
(
    SELECT ',' + t2.thing 
    FROM Table2 AS t2 
    INNER JOIN Table1 AS ti 
    ON ',' + ti.ids + ',' LIKE '%,' + CONVERT(VARCHAR(12), t2.id) + ',%' 
    WHERE ti.ID = tout.ID 
    FOR XML PATH, TYPE 
).value('.[1]', 'nvarchar(max)'), 1, 1, '') 
FROM Table1 AS tout 
ORDER BY ID 

SQL FIDDLE DEMO

+0

J'accepte celui-ci comme la réponse (d'autres semblent fonctionner aussi bien) car il semble le plus concis et fait exactement ce que j'ai demandé - je ne connais pas grand chose à la performance SQL et je ne peux pas dire que c'est certainement la meilleure réponse, mais pour mes fins c'est idéal. – Valuk

+2

C'est une idée très ingénieuse et une solution simple sans rupture. +1 –

0

D'abord, lisez ceci: (?) http://www.sommarskog.se/arrays-in-sql.html

Une façon qui fonctionne même dans sql-server 2005 et ci-dessous est d'utiliser cette fonction Split:

CREATE FUNCTION Split 
(
    @ItemList NVARCHAR(MAX), 
    @delimiter CHAR(1) 
) 
RETURNS @IDTable TABLE (Item VARCHAR(50)) 
AS  

BEGIN  
    DECLARE @tempItemList NVARCHAR(MAX) 
    SET @tempItemList = @ItemList 

    DECLARE @i INT  
    DECLARE @Item NVARCHAR(4000) 

    SET @tempItemList = REPLACE (@tempItemList, ' ', '') 
    SET @i = CHARINDEX(@delimiter, @tempItemList) 

    WHILE (LEN(@tempItemList) > 0) 
    BEGIN 
     IF @i = 0 
      SET @Item = @tempItemList 
     ELSE 
      SET @Item = LEFT(@tempItemList, @i - 1) 
     INSERT INTO @IDTable(Item) VALUES(@Item) 
     IF @i = 0 
      SET @tempItemList = '' 
     ELSE 
      SET @tempItemList = RIGHT(@tempItemList, LEN(@tempItemList) - @i) 
     SET @i = CHARINDEX(@delimiter, @tempItemList) 
    END 
    RETURN 
END 

Maintenant cette requête fonctionne:

Declare @firstID int 
SET @firstID = 1 

SELECT a.id, a.thing as Animal 
FROM dbo.Animals a 
WHERE id IN(
    SELECT Item 
    FROM dbo.Split((SELECT TOP 1 ids FROM dbo.Things WHERE [email protected]), ',') 
) 

Demo

2

Basic allié, ce sera toute la requête:

WITH CTE AS 
(
    SELECT t1.id, t2.thing 
    FROM Table1 t1 
    CROSS APPLY dbo.DelimitedSplit8K(ids,',') x 
    INNER JOIN Table2 t2 ON x.item = t2.id 
) 
SELECT DISTINCT id, 
     STUFF ((SELECT ',' + c1.thing FROM CTE c1 
       WHERE c1.id = c2.id 
       FOR XML PATH ('') 
       ),1,1,'')AS things 
FROM CTE c2 

Mais vous remarquerez peut-être que je l'ai utilisé fonction DelimitedSplit8K pour le fractionnement. Il est disponible à partir de SQLServerCentral - http://www.sqlservercentral.com/articles/Tally+Table/72993/ mais je vais poster le code ci-dessous. Vous pouvez utiliser n'importe quelle autre fonction de partage, mais celle-ci est vraiment bonne et rapide.

D'autres étapes, j'ai déjà mentionné dans les commentaires. Après la division, nous joignons JOIN à d'autres tables pour obtenir les noms, puis utilisons STUFF et FOR XML PATH pour concaténer les noms en une chaîne.

SQLFiddleDEMO

fonction Fractionnement:

CREATE FUNCTION [dbo].[DelimitedSplit8K] 
/********************************************************************************************************************** 
Purpose: 
Split a given string at a given delimiter and return a list of the split elements (items). 

Notes: 
1. Leading a trailing delimiters are treated as if an empty string element were present. 
2. Consecutive delimiters are treated as if an empty string element were present between them. 
3. Except when spaces are used as a delimiter, all spaces present in each element are preserved. 

Returns: 
iTVF containing the following: 
ItemNumber = Element position of Item as a BIGINT (not converted to INT to eliminate a CAST) 
Item  = Element value as a VARCHAR(8000) 

Statistics on this function may be found at the following URL: 
http://www.sqlservercentral.com/Forums/Topic1101315-203-4.aspx 

CROSS APPLY Usage Examples and Tests: 
--===================================================================================================================== 
-- TEST 1: 
-- This tests for various possible conditions in a string using a comma as the delimiter. The expected results are 
-- laid out in the comments 
--===================================================================================================================== 
--===== Conditionally drop the test tables to make reruns easier for testing. 
    -- (this is NOT a part of the solution) 
    IF OBJECT_ID('tempdb..#JBMTest') IS NOT NULL DROP TABLE #JBMTest 
; 
--===== Create and populate a test table on the fly (this is NOT a part of the solution). 
    -- In the following comments, "b" is a blank and "E" is an element in the left to right order. 
    -- Double Quotes are used to encapsulate the output of "Item" so that you can see that all blanks 
    -- are preserved no matter where they may appear. 
SELECT * 
    INTO #JBMTest 
    FROM (            --# & type of Return Row(s) 
     SELECT 0, NULL      UNION ALL --1 NULL 
     SELECT 1, SPACE(0)     UNION ALL --1 b (Empty String) 
     SELECT 2, SPACE(1)     UNION ALL --1 b (1 space) 
     SELECT 3, SPACE(5)     UNION ALL --1 b (5 spaces) 
     SELECT 4, ','      UNION ALL --2 b b (both are empty strings) 
     SELECT 5, '55555'     UNION ALL --1 E 
     SELECT 6, ',55555'     UNION ALL --2 b E 
     SELECT 7, ',55555,'     UNION ALL --3 b E b 
     SELECT 8, '55555,'     UNION ALL --2 b B 
     SELECT 9, '55555,1'     UNION ALL --2 E E 
     SELECT 10, '1,55555'     UNION ALL --2 E E 
     SELECT 11, '55555,4444,333,22,1'  UNION ALL --5 E E E E E 
     SELECT 12, '55555,4444,,333,22,1' UNION ALL --6 E E b E E E 
     SELECT 13, ',55555,4444,,333,22,1,' UNION ALL --8 b E E b E E E b 
     SELECT 14, ',55555,4444,,,333,22,1,' UNION ALL --9 b E E b b E E E b 
     SELECT 15, ' 4444,55555 '   UNION ALL --2 E (w/Leading Space) E (w/Trailing Space) 
     SELECT 16, 'This,is,a,test.'     --E E E E 
     ) d (SomeID, SomeValue) 
; 
--===== Split the CSV column for the whole table using CROSS APPLY (this is the solution) 
SELECT test.SomeID, test.SomeValue, split.ItemNumber, Item = QUOTENAME(split.Item,'"') 
    FROM #JBMTest test 
    CROSS APPLY dbo.DelimitedSplit8K(test.SomeValue,',') split 
; 
--===================================================================================================================== 
-- TEST 2: 
-- This tests for various "alpha" splits and COLLATION using all ASCII characters from 0 to 255 as a delimiter against 
-- a given string. Note that not all of the delimiters will be visible and some will show up as tiny squares because 
-- they are "control" characters. More specifically, this test will show you what happens to various non-accented 
-- letters for your given collation depending on the delimiter you chose. 
--===================================================================================================================== 
WITH 
cteBuildAllCharacters (String,Delimiter) AS 
(
SELECT TOP 256 
     'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz', 
     CHAR(ROW_NUMBER() OVER (ORDER BY (SELECT NULL))-1) 
    FROM master.sys.all_columns 
) 
SELECT ASCII_Value = ASCII(c.Delimiter), c.Delimiter, split.ItemNumber, Item = QUOTENAME(split.Item,'"') 
    FROM cteBuildAllCharacters c 
    CROSS APPLY dbo.DelimitedSplit8K(c.String,c.Delimiter) split 
    ORDER BY ASCII_Value, split.ItemNumber 
; 
----------------------------------------------------------------------------------------------------------------------- 
Other Notes: 
1. Optimized for VARCHAR(8000) or less. No testing or error reporting for truncation at 8000 characters is done. 
2. Optimized for single character delimiter. Multi-character delimiters should be resolvedexternally from this 
    function. 
3. Optimized for use with CROSS APPLY. 
4. Does not "trim" elements just in case leading or trailing blanks are intended. 
5. If you don't know how a Tally table can be used to replace loops, please see the following... 
    http://www.sqlservercentral.com/articles/T-SQL/62867/ 
6. Changing this function to use NVARCHAR(MAX) will cause it to run twice as slow. It's just the nature of 
    VARCHAR(MAX) whether it fits in-row or not. 
7. Multi-machine testing for the method of using UNPIVOT instead of 10 SELECT/UNION ALLs shows that the UNPIVOT method 
    is quite machine dependent and can slow things down quite a bit. 
----------------------------------------------------------------------------------------------------------------------- 
Credits: 
This code is the product of many people's efforts including but not limited to the following: 
cteTally concept originally by Iztek Ben Gan and "decimalized" by Lynn Pettis (and others) for a bit of extra speed 
and finally redacted by Jeff Moden for a different slant on readability and compactness. Hat's off to Paul White for 
his simple explanations of CROSS APPLY and for his detailed testing efforts. Last but not least, thanks to 
Ron "BitBucket" McCullough and Wayne Sheffield for their extreme performance testing across multiple machines and 
versions of SQL Server. The latest improvement brought an additional 15-20% improvement over Rev 05. Special thanks 
to "Nadrek" and "peter-757102" (aka Peter de Heer) for bringing such improvements to light. Nadrek's original 
improvement brought about a 10% performance gain and Peter followed that up with the content of Rev 07. 

I also thank whoever wrote the first article I ever saw on "numbers tables" which is located at the following URL 
and to Adam Machanic for leading me to it many years ago. 
http://sqlserver2000.databases.aspfaq.com/why-should-i-consider-using-an-auxiliary-numbers-table.html 
----------------------------------------------------------------------------------------------------------------------- 
Revision History: 
Rev 00 - 20 Jan 2010 - Concept for inline cteTally: Lynn Pettis and others. 
         Redaction/Implementation: Jeff Moden 
     - Base 10 redaction and reduction for CTE. (Total rewrite) 

Rev 01 - 13 Mar 2010 - Jeff Moden 
     - Removed one additional concatenation and one subtraction from the SUBSTRING in the SELECT List for that tiny 
      bit of extra speed. 

Rev 02 - 14 Apr 2010 - Jeff Moden 
     - No code changes. Added CROSS APPLY usage example to the header, some additional credits, and extra 
      documentation. 

Rev 03 - 18 Apr 2010 - Jeff Moden 
     - No code changes. Added notes 7, 8, and 9 about certain "optimizations" that don't actually work for this 
      type of function. 

Rev 04 - 29 Jun 2010 - Jeff Moden 
     - Added WITH SCHEMABINDING thanks to a note by Paul White. This prevents an unnecessary "Table Spool" when the 
      function is used in an UPDATE statement even though the function makes no external references. 

Rev 05 - 02 Apr 2011 - Jeff Moden 
     - Rewritten for extreme performance improvement especially for larger strings approaching the 8K boundary and 
      for strings that have wider elements. The redaction of this code involved removing ALL concatenation of 
      delimiters, optimization of the maximum "N" value by using TOP instead of including it in the WHERE clause, 
      and the reduction of all previous calculations (thanks to the switch to a "zero based" cteTally) to just one 
      instance of one add and one instance of a subtract. The length calculation for the final element (not 
      followed by a delimiter) in the string to be split has been greatly simplified by using the ISNULL/NULLIF 
      combination to determine when the CHARINDEX returned a 0 which indicates there are no more delimiters to be 
      had or to start with. Depending on the width of the elements, this code is between 4 and 8 times faster on a 
      single CPU box than the original code especially near the 8K boundary. 
     - Modified comments to include more sanity checks on the usage example, etc. 
     - Removed "other" notes 8 and 9 as they were no longer applicable. 

Rev 06 - 12 Apr 2011 - Jeff Moden 
     - Based on a suggestion by Ron "Bitbucket" McCullough, additional test rows were added to the sample code and 
      the code was changed to encapsulate the output in pipes so that spaces and empty strings could be perceived 
      in the output. The first "Notes" section was added. Finally, an extra test was added to the comments above. 

Rev 07 - 06 May 2011 - Peter de Heer, a further 15-20% performance enhancement has been discovered and incorporated 
      into this code which also eliminated the need for a "zero" position in the cteTally table. 
**********************************************************************************************************************/ 
--===== Define I/O parameters 
     (@pString VARCHAR(8000), @pDelimiter CHAR(1)) 
RETURNS TABLE WITH SCHEMABINDING AS 
RETURN 
--===== "Inline" CTE Driven "Tally Table" produces values from 0 up to 10,000... 
    -- enough to cover NVARCHAR(4000) 
    WITH E1(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 
       ),       --10E+1 or 10 rows 
     E2(N) AS (SELECT 1 FROM E1 a, E1 b), --10E+2 or 100 rows 
     E4(N) AS (SELECT 1 FROM E2 a, E2 b), --10E+4 or 10,000 rows max 
cteTally(N) AS (--==== This provides the "base" CTE and limits the number of rows right up front 
        -- for both a performance gain and prevention of accidental "overruns" 
       SELECT TOP (ISNULL(DATALENGTH(@pString),0)) ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM E4 
       ), 
cteStart(N1) AS (--==== This returns N+1 (starting position of each "element" just once for each delimiter) 
       SELECT 1 UNION ALL 
       SELECT t.N+1 FROM cteTally t WHERE SUBSTRING(@pString,t.N,1) = @pDelimiter 
       ), 
cteLen(N1,L1) AS(--==== Return start and length (for use in substring) 
       SELECT s.N1, 
         ISNULL(NULLIF(CHARINDEX(@pDelimiter,@pString,s.N1),0)-s.N1,8000) 
        FROM cteStart s 
       ) 
--===== Do the actual split. The ISNULL/NULLIF combo handles the length for the final element when no delimiter is found. 
SELECT ItemNumber = ROW_NUMBER() OVER(ORDER BY l.N1), 
     Item  = SUBSTRING(@pString, l.N1, l.L1) 
    FROM cteLen l 
; 
2

Essayez celui -

Requête:

DECLARE @temp TABLE (id INT, ids NVARCHAR(50)) 
INSERT INTO @temp (id, ids) 
VALUES (1, '1,3,4'), (2, '2'), (3, '1,2,5') 

DECLARE @thing TABLE (id INT, thing NVARCHAR(50)) 
INSERT INTO @thing (id, thing) 
VALUES (1, 'fish'), (2, 'elephant'), (3, 'monkey'), (4, 'mongoose'), (5, 'kiwi') 

;WITH cte AS (
    SELECT t.id, t2.thing 
    FROM (
      SELECT 
       id = t.c.value('@n', 'INT') 
       , token = t.c.value('@s', 'NVARCHAR(50)') 
      FROM (
       SELECT field = CAST('<t s = "' + 
        REPLACE(
          t.ids + ',' 
         , ',' 
         , '" n = "' + CAST(t.id AS VARCHAR(10)) 
        + '" /><t s = "') + '" />' AS XML) 
       FROM @temp t 
     ) d 
      CROSS APPLY field.nodes('/t') t(c) 
      WHERE t.c.exist('@n') = 1 
    ) t 
    JOIN @thing t2 ON t.token = t2.id 
) 
SELECT id, things = STUFF((
    SELECT ', ' + t2.thing 
    FROM cte t2 
    WHERE t2.id = t.id 
    FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'), 1, 2, '') 
FROM @temp t 

Résultats:

id   things 
----------- -------------------------- 
1   fish, monkey, mongoose 
2   elephant 
3   fish, elephant, kiwi