I want to write a function that concat field from different row and group by id.
When I execute my code in TSql is work fine, But when I execute it as a function it returns wrong data, Why?
CREATE TABLE YourTable ([ID] INT, [Name] CHAR(1), [Value] INT)
INSERT INTO YourTable ([ID],[Name],[Value]) VALUES (1,'A',4)
INSERT INTO YourTable ([ID],[Name],[Value]) VALUES (1,'B',8)
INSERT INTO YourTable ([ID],[Name],[Value]) VALUES (2,'C',9)
INSERT INTO YourTable ([ID],[Name],[Value]) VALUES (3,'d',9)
INSERT INTO YourTable ([ID],[Name],[Value]) VALUES (3,'u',9)
SELECT
[ID],
STUFF((
SELECT ', ' + [Name]
FROM YourTable
WHERE (ID = Results.ID)
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)'),1,2,'') AS NameValues
FROM YourTable Results
GROUP BY id;
create FUNCTION dbo.CONCAT_String_group_by_id (#id int , #name varchar
(100) )
RETURNS TABLE AS return
WITH cte AS(
SELECT #id id ,#name name
FROM (VALUES(0)) a(m))
SELECT
[ID],
STUFF((
SELECT ', ' + [Name]
FROM cte
WHERE (ID = Results.ID)
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)'),1,2,'') AS NameValues
FROM cte Results
GROUP BY id
SELECT n.*
FROM YourTable CROSS APPLY dbo.CONCAT_String_group_by_id (id,name) n
First query Output:
ID NameValues
1 A, B
2 C
3 d, u
Second query Output:
ID NameValues
1 A
1 B
2 C
3 d
3 u
Your function wont work ,because Cross apply will be executed for each row of outer query once and outputs the result
In your first query,you are evaluating all the data at once and logical order of execution goes like below
query:
SELECT
[ID],
STUFF((
SELECT ', ' + [Name]
FROM YourTable
WHERE (ID = Results.ID)
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)'),1,2,'') AS NameValues
FROM YourTable Results
GROUP BY id;
1.group by id from your table
2.Do a concat of all IDs Present using XML
In your second query ,you are using cross apply to pass one row at a time and it will have only one row to concat ,so your output varies
What about this function:
CREATE FUNCTION dbo.CONCAT_String_group_by_id (#id int)
RETURNS TABLE AS return
WITH cte AS(
SELECT *
FROM YourTable
WHERE id = #id
)
SELECT
[ID],
STUFF((
SELECT ', ' + [Name]
FROM cte
WHERE (ID = Results.ID)
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)'),1,2,'') AS NameValues
FROM cte Results
GROUP BY id
In your function you have just one row in your CTE (WITH) so always you will have one letter in NameValues.
I have an Input table as under
Id Data
1 Column1: Value1
2 Column2: Value11
3 Column3: Value111
4 Column1: Value2
5 Column2: Value22
6 Column3: Value222
I am looking for an output as under
Column1 Column2 Column3
Value1 Value11 Value111
Value2 Value22 Value222
How can I achieve so? It could have been done easily by using a WHILE LOOP and by a bit of mathematical logic, but I am looking for a more optimized one if possible by only SELECT queries (no LOOPS).
I have tried also by splitting using (':') as delimiter and then transforming ROWS to COLUMNS (PIVOT) but somewhat could not be able to proceed. (That's my thought, peoples may have more better thoughts).
My shot so far
Declare #t table(Id int identity(1,1),Data varchar(1000))
Insert into #t Values
('Column1: Value1'),('Column2: Value11'),('Column3: Value111')
,('Column1: Value2'),('Column2: Value22'),('Column3: Value222')
Select *
FROM #t
SELECT
F1.id,
F1.Data,
O.splitdata
FROM
(
SELECT *,
cast('<X>'+replace(F.Data,':','</X><X>')+'</X>' as XML) as xmlfilter from #t F
)F1
CROSS APPLY
(
SELECT fdata.D.value('.','varchar(50)') as splitdata
FROM f1.xmlfilter.nodes('X') as fdata(D)) O
This will work if you want a pure SQL solution:
Select [Column1], [Column2], [Column3] From (
Select col, val, id = ROW_NUMBER() over(partition by d.col order by d.id)
From (
Select id
, col = LEFT(Data, CHARINDEX(':', Data)-1)
, val = RIGHT(Data, LEN(DATA) - CHARINDEX(':', Data))
From #t
) as d
) as p
pivot(
MAX(val)
FOR col in([Column1], [Column2], [Column3])
) as piv
But it supposes that data for Row 1 are always before data for Row 2. There is no way to distinguish them using your sample.
If the number of column is not fixed, it has to use Dynamic SQL.
SQL Server may not be the best options for this kind of thing.
With Dynamic SQL, the above query would be like this one:
create table #t(Id int identity(1,1),Data varchar(1000))
Insert into #t Values
('Column1: Value1'),('Column2: Value11'),('Column3: Value111')
,('Column1: Value2'),('Column2: Value22'),('Column3: Value222')
Declare #sql nvarchar(max)
Select #sql = '
Select '+left(c, len(c)-1)+' From (
Select col, val, id = ROW_NUMBER() over(partition by d.col order by d.id)
From (
Select id
, col = LEFT(Data, CHARINDEX('':'', Data)-1)
, val = RIGHT(Data, LEN(DATA) - CHARINDEX('':'', Data))
From #t
) as d
) as p
pivot(
MAX(val)
FOR col in('+left(c, len(c)-1)+')
) as piv
'
From (
Select Distinct '['+LEFT(Data, CHARINDEX(':', Data)-1)+'], '
From #t
FOR XML PATH('')
) as d(c)
EXEC sp_executesql #sql
SQL Fiddle
This should work:
Declare #t table(Id int identity(1,1),Data varchar(1000))
Insert into #t Values
('Column1: Value1'),('Column2: Value11'),('Column3: Value111')
,('Column1: Value2'),('Column2: Value22'),('Column3: Value222');
WITH Splitted AS
(
SELECT *
,CAST('<X>'+REPLACE(F.Data,':','</X><X>')+'</X>' AS XML) AS xmlfilter
FROM #t AS F
)
SELECT p.*
FROM
(
SELECT ROW_NUMBER() OVER(PARTITION BY xmlfilter.value('X[1]','varchar(max)') ORDER BY Id) AS Inx
,xmlfilter.value('X[1]','varchar(max)') AS ColName
,xmlfilter.value('X[2]','varchar(max)') AS ColVal
FROM Splitted
) AS tbl
PIVOT
(
MAX(ColVal) FOR ColName IN(Column1,Column2,Column3)
) AS p
How do I get:
id Name Value
1 A 4
1 B 8
2 C 9
to
id Column
1 A:4, B:8
2 C:9
No CURSOR, WHILE loop, or User-Defined Function needed.
Just need to be creative with FOR XML and PATH.
[Note: This solution only works on SQL 2005 and later. Original question didn't specify the version in use.]
CREATE TABLE #YourTable ([ID] INT, [Name] CHAR(1), [Value] INT)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (1,'A',4)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (1,'B',8)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (2,'C',9)
SELECT
[ID],
STUFF((
SELECT ', ' + [Name] + ':' + CAST([Value] AS VARCHAR(MAX))
FROM #YourTable
WHERE (ID = Results.ID)
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)')
,1,2,'') AS NameValues
FROM #YourTable Results
GROUP BY ID
DROP TABLE #YourTable
If it is SQL Server 2017 or SQL Server Vnext, SQL Azure you can use STRING_AGG as below:
SELECT id, STRING_AGG(CONCAT(name, ':', [value]), ', ')
FROM #YourTable
GROUP BY id
using XML path will not perfectly concatenate as you might expect... it will replace "&" with "&" and will also mess with <" and ">
...maybe a few other things, not sure...but you can try this
I came across a workaround for this... you need to replace:
FOR XML PATH('')
)
with:
FOR XML PATH(''),TYPE
).value('(./text())[1]','VARCHAR(MAX)')
...or NVARCHAR(MAX) if thats what youre using.
why the hell doesn't SQL have a concatenate aggregate function? this is a PITA.
I ran into a couple of problems when I tried converting Kevin Fairchild's suggestion to work with strings containing spaces and special XML characters (&, <, >) which were encoded.
The final version of my code (which doesn't answer the original question but may be useful to someone) looks like this:
CREATE TABLE #YourTable ([ID] INT, [Name] VARCHAR(MAX), [Value] INT)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (1,'Oranges & Lemons',4)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (1,'1 < 2',8)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (2,'C',9)
SELECT [ID],
STUFF((
SELECT ', ' + CAST([Name] AS VARCHAR(MAX))
FROM #YourTable WHERE (ID = Results.ID)
FOR XML PATH(''),TYPE
/* Use .value to uncomment XML entities e.g. > < etc*/
).value('.','VARCHAR(MAX)')
,1,2,'') as NameValues
FROM #YourTable Results
GROUP BY ID
DROP TABLE #YourTable
Rather than using a space as a delimiter and replacing all the spaces with commas, it just pre-pends a comma and space to each value then uses STUFF to remove the first two characters.
The XML encoding is taken care of automatically by using the TYPE directive.
Another option using Sql Server 2005 and above
---- test data
declare #t table (OUTPUTID int, SCHME varchar(10), DESCR varchar(10))
insert #t select 1125439 ,'CKT','Approved'
insert #t select 1125439 ,'RENO','Approved'
insert #t select 1134691 ,'CKT','Approved'
insert #t select 1134691 ,'RENO','Approved'
insert #t select 1134691 ,'pn','Approved'
---- actual query
;with cte(outputid,combined,rn)
as
(
select outputid, SCHME + ' ('+DESCR+')', rn=ROW_NUMBER() over (PARTITION by outputid order by schme, descr)
from #t
)
,cte2(outputid,finalstatus,rn)
as
(
select OUTPUTID, convert(varchar(max),combined), 1 from cte where rn=1
union all
select cte2.outputid, convert(varchar(max),cte2.finalstatus+', '+cte.combined), cte2.rn+1
from cte2
inner join cte on cte.OUTPUTID = cte2.outputid and cte.rn=cte2.rn+1
)
select outputid, MAX(finalstatus) from cte2 group by outputid
Install the SQLCLR Aggregates from http://groupconcat.codeplex.com
Then you can write code like this to get the result you asked for:
CREATE TABLE foo
(
id INT,
name CHAR(1),
Value CHAR(1)
);
INSERT INTO dbo.foo
(id, name, Value)
VALUES (1, 'A', '4'),
(1, 'B', '8'),
(2, 'C', '9');
SELECT id,
dbo.GROUP_CONCAT(name + ':' + Value) AS [Column]
FROM dbo.foo
GROUP BY id;
Eight years later... Microsoft SQL Server vNext Database Engine has finally enhanced Transact-SQL to directly support grouped string concatenation. The Community Technical Preview version 1.0 added the STRING_AGG function and CTP 1.1 added the WITHIN GROUP clause for the STRING_AGG function.
Reference: https://msdn.microsoft.com/en-us/library/mt775028.aspx
SQL Server 2005 and later allow you to create your own custom aggregate functions, including for things like concatenation- see the sample at the bottom of the linked article.
This is just an addition to Kevin Fairchild's post (very clever by the way). I would have added it as a comment, but I don't have enough points yet :)
I was using this idea for a view I was working on, however the items I was concatinating contained spaces. So I modified the code slightly to not use spaces as delimiters.
Again thanks for the cool workaround Kevin!
CREATE TABLE #YourTable ( [ID] INT, [Name] CHAR(1), [Value] INT )
INSERT INTO #YourTable ([ID], [Name], [Value]) VALUES (1, 'A', 4)
INSERT INTO #YourTable ([ID], [Name], [Value]) VALUES (1, 'B', 8)
INSERT INTO #YourTable ([ID], [Name], [Value]) VALUES (2, 'C', 9)
SELECT [ID],
REPLACE(REPLACE(REPLACE(
(SELECT [Name] + ':' + CAST([Value] AS VARCHAR(MAX)) as A
FROM #YourTable
WHERE ( ID = Results.ID )
FOR XML PATH (''))
, '</A><A>', ', ')
,'<A>','')
,'</A>','') AS NameValues
FROM #YourTable Results
GROUP BY ID
DROP TABLE #YourTable
An example would be
In Oracle you can use LISTAGG aggregate function.
Original records
name type
------------
name1 type1
name2 type2
name2 type3
Sql
SELECT name, LISTAGG(type, '; ') WITHIN GROUP(ORDER BY name)
FROM table
GROUP BY name
Result in
name type
------------
name1 type1
name2 type2; type3
This kind of question is asked here very often, and the solution is going to depend a lot on the underlying requirements:
https://stackoverflow.com/search?q=sql+pivot
and
https://stackoverflow.com/search?q=sql+concatenate
Typically, there is no SQL-only way to do this without either dynamic sql, a user-defined function, or a cursor.
Just to add to what Cade said, this is usually a front-end display thing and should therefore be handled there. I know that sometimes it's easier to write something 100% in SQL for things like file export or other "SQL only" solutions, but most of the times this concatenation should be handled in your display layer.
Don't need a cursor... a while loop is sufficient.
------------------------------
-- Setup
------------------------------
DECLARE #Source TABLE
(
id int,
Name varchar(30),
Value int
)
DECLARE #Target TABLE
(
id int,
Result varchar(max)
)
INSERT INTO #Source(id, Name, Value) SELECT 1, 'A', 4
INSERT INTO #Source(id, Name, Value) SELECT 1, 'B', 8
INSERT INTO #Source(id, Name, Value) SELECT 2, 'C', 9
------------------------------
-- Technique
------------------------------
INSERT INTO #Target (id)
SELECT id
FROM #Source
GROUP BY id
DECLARE #id int, #Result varchar(max)
SET #id = (SELECT MIN(id) FROM #Target)
WHILE #id is not null
BEGIN
SET #Result = null
SELECT #Result =
CASE
WHEN #Result is null
THEN ''
ELSE #Result + ', '
END + s.Name + ':' + convert(varchar(30),s.Value)
FROM #Source s
WHERE id = #id
UPDATE #Target
SET Result = #Result
WHERE id = #id
SET #id = (SELECT MIN(id) FROM #Target WHERE #id < id)
END
SELECT *
FROM #Target
Let's get very simple:
SELECT stuff(
(
select ', ' + x from (SELECT 'xxx' x union select 'yyyy') tb
FOR XML PATH('')
)
, 1, 2, '')
Replace this line:
select ', ' + x from (SELECT 'xxx' x union select 'yyyy') tb
With your query.
You can improve performance significant the following way if group by contains mostly one item:
SELECT
[ID],
CASE WHEN MAX( [Name]) = MIN( [Name]) THEN
MAX( [Name]) NameValues
ELSE
STUFF((
SELECT ', ' + [Name] + ':' + CAST([Value] AS VARCHAR(MAX))
FROM #YourTable
WHERE (ID = Results.ID)
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)')
,1,2,'') AS NameValues
END
FROM #YourTable Results
GROUP BY ID
didn't see any cross apply answers, also no need for xml extraction. Here is a slightly different version of what Kevin Fairchild wrote. It's faster and easier to use in more complex queries:
select T.ID
,MAX(X.cl) NameValues
from #YourTable T
CROSS APPLY
(select STUFF((
SELECT ', ' + [Name] + ':' + CAST([Value] AS VARCHAR(MAX))
FROM #YourTable
WHERE (ID = T.ID)
FOR XML PATH(''))
,1,2,'') [cl]) X
GROUP BY T.ID
Using the Stuff and for xml path operator to concatenate rows to string :Group By two columns -->
CREATE TABLE #YourTable ([ID] INT, [Name] CHAR(1), [Value] INT)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (1,'A',4)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (1,'B',8)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (1,'B',5)
INSERT INTO #YourTable ([ID],[Name],[Value]) VALUES (2,'C',9)
-- retrieve each unique id and name columns and concatonate the values into one column
SELECT
[ID],
STUFF((
SELECT ', ' + [Name] + ':' + CAST([Value] AS VARCHAR(MAX)) -- CONCATONATES EACH APPLICATION : VALUE SET
FROM #YourTable
WHERE (ID = Results.ID and Name = results.[name] )
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)')
,1,2,'') AS NameValues
FROM #YourTable Results
GROUP BY ID
SELECT
[ID],[Name] , --these are acting as the group by clause
STUFF((
SELECT ', '+ CAST([Value] AS VARCHAR(MAX)) -- CONCATONATES THE VALUES FOR EACH ID NAME COMBINATION
FROM #YourTable
WHERE (ID = Results.ID and Name = results.[name] )
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)')
,1,2,'') AS NameValues
FROM #YourTable Results
GROUP BY ID, name
DROP TABLE #YourTable
Using Replace Function and FOR JSON PATH
SELECT T3.DEPT, REPLACE(REPLACE(T3.ENAME,'{"ENAME":"',''),'"}','') AS ENAME_LIST
FROM (
SELECT DEPT, (SELECT ENAME AS [ENAME]
FROM EMPLOYEE T2
WHERE T2.DEPT=T1.DEPT
FOR JSON PATH,WITHOUT_ARRAY_WRAPPER) ENAME
FROM EMPLOYEE T1
GROUP BY DEPT) T3
For sample data and more ways click here
If you have clr enabled you could use the Group_Concat library from GitHub
Another example without the garbage: ",TYPE).value('(./text())[1]','VARCHAR(MAX)')"
WITH t AS (
SELECT 1 n, 1 g, 1 v
UNION ALL
SELECT 2 n, 1 g, 2 v
UNION ALL
SELECT 3 n, 2 g, 3 v
)
SELECT g
, STUFF (
(
SELECT ', ' + CAST(v AS VARCHAR(MAX))
FROM t sub_t
WHERE sub_t.g = main_t.g
FOR XML PATH('')
)
, 1, 2, ''
) cg
FROM t main_t
GROUP BY g
Input-output is
************************* -> *********************
* n * g * v * * g * cg *
* - * - * - * * - * - *
* 1 * 1 * 1 * * 1 * 1, 2 *
* 2 * 1 * 2 * * 2 * 3 *
* 3 * 2 * 3 * *********************
*************************
I used this approach which may be easier to grasp. Get a root element, then concat to choices any item with the same ID but not the 'official' name
Declare #IdxList as Table(id int, choices varchar(max),AisName varchar(255))
Insert into #IdxLIst(id,choices,AisName)
Select IdxId,''''+Max(Title)+'''',Max(Title) From [dbo].[dta_Alias]
where IdxId is not null group by IdxId
Update #IdxLIst
set choices=choices +','''+Title+''''
From #IdxLIst JOIN [dta_Alias] ON id=IdxId And Title <> AisName
where IdxId is not null
Select * from #IdxList where choices like '%,%'
For all my healthcare folks out there:
SELECT
s.NOTE_ID
,STUFF ((
SELECT
[note_text] + ' '
FROM
HNO_NOTE_TEXT s1
WHERE
(s1.NOTE_ID = s.NOTE_ID)
ORDER BY [line] ASC
FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)')
,
1,
2,
'') AS NOTE_TEXT_CONCATINATED
FROM
HNO_NOTE_TEXT s
GROUP BY NOTE_ID
In Microsoft SQL Server, the following works, but produces:
,Son,Dad,Granddad,Great Granddad
whereas I need it to say:
Great Granddad,Granddad,Dad,Son
declare #Family Table(
ID Int Identity(100,1) Primary Key
,Person varchar(128)
,ParentID Int default 0
)
insert into #Family(Person,ParentID) values('Great Granddad',0)
insert into #Family(Person,ParentID) values('Granddad',100)
insert into #Family(Person,ParentID) values('Dad',101)
insert into #Family(Person,ParentID) values('Son',102)
DECLARE #ID Int = 103
;with cte1 as (
select
#ID AS cteID
,ID
,ParentID
,Person as ctePerson
from #Family
where ID = #ID -- this is the starting point you want in your recursion
UNION ALL
select #ID, F.ID, F.ParentID, F.Person
from #Family F
join cte1 P on P.ParentID = F.ID -- this is the recursion
)
-- cte2 can reverse the sort order based on something built in (OVER?)
-- ROW_NUMBER() OVER(ORDER BY ? DESC) AS Row
,cte3 AS(
select ID as cte3ID,(
SELECT ',' + ctePerson
FROM cte1
WHERE cteID = F.ID
FOR XML PATH ('')
) as People
from #Family F
where ID=#ID
)
SELECT * FROM CTE3
I would not order the result of a recursive CTE by using another CTE, as the results of CTEs are semantically tables, and therfore the order is not guaranteed. Instead order when selecting from a CTE, just als like with normal tables.
I would suggest to insert a field representing the level or relationship and order by that:
;with cte1 as (
select
#ID AS cteID
,ID
,ParentID
,Person as ctePerson
,0 lvl -- starting level with 0
from #Family
where ID = #ID -- this is the starting point you want in your recursion
UNION ALL
select #ID, F.ID, F.ParentID, F.Person
, lvl + 1 -- increase level by 1
from #Family F
join cte1 P on P.ParentID = F.ID -- this is the recursion
)
,cte3 AS(
select ID as cte3ID,STUFF(( -- stuff removes the first ','
SELECT ',' + ctePerson
FROM cte1
WHERE cteID = F.ID
ORDER by lvl DESC -- order by level DESC to start with latest ancestor
FOR XML PATH ('')
), 1, 1, '') as People
from #Family F
where ID=#ID
)
SELECT * FROM CTE3
I'm trying to find a way to do a accept/reject on an XML string, by joining it to a table of conditions. I have one "filter" working now, but want to write it so that it can filter 2 or more.
Here's code that matches one of the two. If either matches, it will filter the string.
What I want to do is make it so it has to match BOTH, while still leaving the option for single-condition
CREATE TABLE #filter (exclusion_type CHAR(1), excluded_value varchar(10))
INSERT INTO #filter VALUES ('B','boy')
INSERT INTO #filter VALUES ('C','cat')
DECLARE #data XML
SELECT #data = '<A><B>boy</B><C>cat</C></A>'
SELECT * FROM (SELECT CONVERT(VARCHAR(128),node.query('fn:local-name(.)')) AS NodeName, CONVERT(VARCHAR(MAX),node.query('./text()')) AS NodeValue
FROM #data.nodes(N'//*') T(node))xml_shred
IF NOT EXISTS
(SELECT * FROM (SELECT CONVERT(VARCHAR(128),node.query('fn:local-name(.)')) AS NodeName, CONVERT(VARCHAR(MAX),node.query('./text()')) AS NodeValue
FROM #data.nodes(N'//*') T(node)) xml_shred
INNER JOIN #filter
ON (nodename = exclusion_type AND nodevalue LIKE excluded_value)
)
select 'record would be inserted '
ELSE select 'record was filtered'
Here's how I currently have it to filter both. Ugly and non-expandable.
IF NOT EXISTS
(SELECT * FROM (SELECT CONVERT(VARCHAR(128),node.query('fn:local-name(.)')) AS NodeName, CONVERT(VARCHAR(MAX),node.query('./text()')) AS NodeValue
FROM #data.nodes(N'//*') T(node)) xml_shred
INNER JOIN #filter
ON (nodename = exclusion_type AND nodevalue LIKE excluded_value)
)
--combination filters don't easily work within that xml_shred
and not(
#data.value('(/A/B)[1]', 'varchar(128)') = 'boy'
AND
#data.value('(/A/C)[1]', 'varchar(128)')='cat'
)
select 'record would be inserted '
ELSE select 'record was filtered'
My only other ideas:
some sort of GUID that would link records in the #filter table together, and then inner join on a GROUP BY of #filtertable, grouping by the GUID and using the SUM to match the number of records.
use semicolons to split the #filter rows, then use a CTE or something to fake a hierarchy and work from there.
Code changes made by Mikael's suggestion
CREATE TABLE #filter
(
exclusion_set SMALLINT,
exclusion_type CHAR(1) ,
excluded_value VARCHAR(10)
)
INSERT INTO #filter
VALUES (1, 'B', 'boy')
INSERT INTO #filter
VALUES (1, 'C', 'cat')
INSERT INTO #filter
VALUES (2, 'D', 'dog' )
DECLARE #data XML
SELECT #data = '<A><B>boy</B><C>cat</C></A>'
IF NOT EXISTS(
SELECT * FROM
(
select COUNT(*) AS match_count, exclusion_set
from #filter as F
where exists (
select *
from (
select X.N.value('local-name(.)', 'varchar(128)') as NodeName,
X.N.value('./text()[1]', 'varchar(max)') as NodeValue
from #data.nodes('//*') as X(N)
) T
where T.NodeName = F.exclusion_type and
T.NodeValue like F.excluded_value
)
GROUP BY exclusion_set
) matches_per_set
INNER JOIN
(SELECT COUNT(*) AS total_count, exclusion_set FROM #filter GROUP BY exclusion_set) grouped_set
ON match_count = total_count
AND grouped_set.exclusion_set = matches_per_set.exclusion_set
)
if not exists (
select *
from #filter as F
where exists (
select *
from (
select X.N.value('local-name(.)', 'varchar(128)') as NodeName,
X.N.value('./text()[1]', 'varchar(max)') as NodeValue
from #data.nodes('//*') as X(N)
) T
where T.NodeName = F.exclusion_type and
T.NodeValue like F.excluded_value
)
having count(*) = (select count(*) from #filter)
)
select 'record would be inserted '
else
select 'record was filtered'
Since I apparently get dinged if I don't mark something as the answer, I'm including mine from above. Many thanks for the help to Mikael Eriksson. His XML shred is faster than mine, and by adding the "exclusion_set" field (char(2) to make it obvious that it wasn't an IDENTITY or primary key), I can do multiple checks. If all conditions in a set match, then the record is filtered.
CREATE TABLE #filter
(
exclusion_set CHAR(2),
exclusion_type CHAR(1) ,
excluded_value VARCHAR(10)
)
INSERT INTO #filter
VALUES ('aa', 'B', 'boy')
INSERT INTO #filter
VALUES ('aa', 'C', 'cat')
INSERT INTO #filter
VALUES ('ab', 'D', 'dog' )
DECLARE #data XML
SELECT #data = '<A><B>boy</B><C>cat</C></A>'
IF NOT EXISTS(
SELECT * FROM
(
select COUNT(*) AS match_count, exclusion_set
from #filter as F
where exists (
select *
from (
select X.N.value('local-name(.)', 'varchar(128)') as NodeName,
X.N.value('./text()[1]', 'varchar(max)') as NodeValue
from #data.nodes('//*') as X(N)
) T
where T.NodeName = F.exclusion_type and
T.NodeValue like F.excluded_value
)
GROUP BY exclusion_set
) matches_per_set
INNER JOIN
(SELECT COUNT(*) AS total_count, exclusion_set FROM #filter GROUP BY exclusion_set) grouped_set
ON match_count = total_count
AND grouped_set.exclusion_set = matches_per_set.exclusion_set
)
select 'record would be inserted '
else
select 'record was filtered'