I want to split the two columns into two rows in a single table separated by ‘;’ in Sql Server 2008. Please help me to resolve to solve this.
Columns like:
1;2;3;4;5;6;7; and a;b;c;d;e;f;g;
Output Rows like:
1 a
2 b
3 c
4 d
5 e
6 f
7 g
First you are going to need a split function as such :
CREATE function [dbo].[Split]
(
#string nvarchar(max),
#delimiter nvarchar(20)
)
returns #table table
(
[Value] nvarchar(max)
)
begin
declare #nextString nvarchar(max)
declare #pos int, #nextPos int
set #nextString = ''
set #string = #string + #delimiter
set #pos = charindex(#delimiter, #string)
set #nextPos = 1
while (#pos <> 0)
begin
set #nextString = substring(#string, 1, #pos - 1)
insert into #table
(
[Value]
)
values
(
#nextString
)
set #string = substring(#string, #pos + len(#delimiter), len(#string))
set #nextPos = #pos
set #pos = charindex(#delimiter, #string)
end
return
end
Then using this code :
SELECT col1.Value as val1,
col2.Value as val2
FROM
(SELECT Value,
ROW_NUMBER() over(order by value asc) as rownum
FROM (
VALUES('1;2;3;4;5;6;7')
) valued(X) CROSS APPLY
DBO.SPLIT(X,';') AS SPLITEDCOL ) as col1 INNER JOIN
(SELECT Value,
ROW_NUMBER() over(order by value asc) as rownum
FROM (
VALUES('A;B;C;D;E;F;G')
) valued1(X) CROSS APPLY
DBO.SPLIT(X,';') AS SPLITEDCOL ) as col2
ON COL1.rownum = col2.rownum
if your two columns are from a table you can select them as such :
SELECT Value,
ROW_NUMBER() over(order by value asc) as rownum
FROM YourTable CROSS APPLY
DBO.SPLIT(YourColumnName,';') AS SPLITEDCOL
Note that 1 subset using cross apply is necessary for each column you want to return in rows
Hope this helps
Declare #ID as Varchar(1000)
set #ID = '1;2;3;4;5;6;7;'
SELECT
LTRIM(RTRIM(m.n.value('.[1]','varchar(8000)'))) AS ID
FROM
(
SELECT CAST('<XMLRoot><RowData>' + REPLACE(#ID,';','</RowData><RowData>') + '</RowData></XMLRoot>' AS XML) AS x
)t
CROSS APPLY x.nodes('/XMLRoot/RowData')m(n)
DECLARE #Table1 TABLE(ID INT, Value char)
INSERT INTO #Table1 VALUES (1,'a'),(1,'b'),(1,'c'),(1,'d')
SELECT STUFF((SELECT '; ' + CAST(ID AS VARCHAR(10)) [text()]
FROM #Table1
WHERE ID = t.ID
FOR XML PATH(''), TYPE)
.value('.','NVARCHAR(MAX)'),1,2,' ') ID
,STUFF((SELECT '; ' + CAST(Value AS VARCHAR(10)) [text()]
FROM #Table1
WHERE ID = t.ID
FOR XML PATH(''), TYPE)
.value('.','NVARCHAR(MAX)'),1,2,' ') value
FROM #Table1 t
Related
I need to separate values and store them in different variables in SQL,
for example
a='3100,3101,3102,....'
And the output should be
x=3100
y=3101
z=3102
.
.
.
create function [dbo].[udf_splitstring] (#tokens varchar(max),
#delimiter varchar(5))
returns #split table (
token varchar(200) not null )
as
begin
declare #list xml
select #list = cast('<a>'
+ replace(#tokens, #delimiter, '</a><a>')
+ '</a>' as xml)
insert into #split
(token)
select ltrim(t.value('.', 'varchar(200)')) as data
from #list.nodes('/a') as x(t)
return
end
GO
declare #cad varchar(100)='3100,3101,3102'
select *,ROW_NUMBER() over (order by token ) as rn from udf_splitstring(#cad,',')
token rn
3100 1
3101 2
3102 3
The results of the Parse TVF can easily be incorporated into a JOIN, or an IN
Declare #a varchar(max)='3100,3101,3102'
Select * from [dbo].[udf-Str-Parse](#a,',')
Returns
RetSeq RetVal
1 3100
2 3101
3 3102
The UDF if needed (much faster than recursive, loops, and xml)
CREATE FUNCTION [dbo].[udf-Str-Parse] (#String varchar(max),#Delimiter varchar(25))
Returns Table
As
Return (
with cte1(N) As (Select 1 From (Values(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) N(N)),
cte2(N) As (Select Top (IsNull(DataLength(#String),0)) Row_Number() over (Order By (Select NULL)) From (Select N=1 From cte1 a,cte1 b,cte1 c,cte1 d) A ),
cte3(N) As (Select 1 Union All Select t.N+DataLength(#Delimiter) From cte2 t Where Substring(#String,t.N,DataLength(#Delimiter)) = #Delimiter),
cte4(N,L) As (Select S.N,IsNull(NullIf(CharIndex(#Delimiter,#String,s.N),0)-S.N,8000) From cte3 S)
Select RetSeq = Row_Number() over (Order By A.N)
,RetVal = LTrim(RTrim(Substring(#String, A.N, A.L)))
From cte4 A
);
--Orginal Source http://www.sqlservercentral.com/articles/Tally+Table/72993/
--Much faster than str-Parse, but limited to 8K
--Select * from [dbo].[udf-Str-Parse-8K]('Dog,Cat,House,Car',',')
--Select * from [dbo].[udf-Str-Parse-8K]('John||Cappelletti||was||here','||')
I suggest you to use following query, it's much faster than other functions like cross apply and udf.
SELECT
Variables
,S_DATA
FROM (
SELECT
Variables
,CASE WHEN LEN(LIST2)>0 THEN LTRIM(RTRIM(SUBSTRING(LIST2, NUMBER+1, CHARINDEX(',', LIST2, NUMBER+1)-NUMBER - 1)))
ELSE NULL
END AS S_DATA
,NUMBER
FROM(
SELECT Variables
,','+COMMA_SEPARETED_COLUMN+',' LIST2
FROM Tb1
)DT
LEFT OUTER JOIN TB N ON (N.NUMBER < LEN(DT.LIST2)) OR (N.NUMBER=1 AND DT.LIST2 IS NULL)
WHERE SUBSTRING(LIST2, NUMBER, 1) = ',' OR LIST2 IS NULL
) DT2
WHERE S_DATA<>''
and also you should create a table 'NUMBER' before running the above query.
CREATE TABLE TB (Number INT)
DECLARE #I INT=0
WHILE #I<1000
BEGIN
INSERT INTO TB VALUES (#I)
SET #I=#I+1
END
How do I accomplish my goal without using temp table or variable?
Table:
ID ModelNum Qty
123 ABC 4
123 DEF 4
Expected Result:
ID Models Qty
123 ABC | DEF 4
Thanks in advance!
DECLARE #T TABLE (ID INT,ModelNum CHAR(3),Qty INT)
INSERT INTO #T
VALUES
(123,'ABC',4),
(123,'DEF',4),
(123,'GLK',4)
SELECT DISTINCT ID, STUFF(C.List, 1, 2, '') Models, Qty
FROM #T t
CROSS APPLY (
SELECT '| ' + ModelNum
FROM #T
WHERE ID = t.ID
FOR XML PATH('')
)C(List)
Result Set
ID Models Qty
123 ABC| DEF| GLK 4
Hi how about this Query below:
I have did the same example with some different logic and different attribute.
I can get the expected OP, please response if you have any suggestions for me on btechit#hotmail.com.
Declare:
#ConcatTable table (Ename varchar(30), Empno int)
Insert into #ConcatTable values ('Steve', 100),('mathew', 100),('jon', 101),('tom', 101)
--select * from #ConcatTable
--select ROW_NUMBER()over(order by Empno)Row2,* from
--(select distinct Empno from #ConcatTable)C
declare #p varchar(100) = ''
select #p = #p+ ' '+Ename from (
select DENSE_RANK()over(order by Empno)as dens, * from #ConcatTable )A
where A.dens = 1
declare #q varchar(100) = ''
select #q = #q+ ' '+Ename from (
select DENSE_RANK()over(order by Empno)as dens, * from #ConcatTable )A
where A.dens = 2
--SELECT #p
--SELECT #q
declare #M table (Name varchar(30))
insert into #M
select * from(
select #p as v
union all
select #q as vv
)G
--SELECT ROW_NUMBER()over (order by Name desc)Rown1,* from #M
SELECT A.Name,CC.Empno FROM(
SELECT ROW_NUMBER()over (order by Name desc)Rown1,* FROM #M)A
inner join
(select ROW_NUMBER()over(order by Empno)Row2,* from
(select distinct Empno from #ConcatTable)C
)CC
on A.Rown1 = CC.Row2
I have a query that outputs just one row of data. I want to convert that row to column and the column to row.
My original query
------------------------
ID Name Desc
------------------------
1 Nisha Some desc
what I need
--------------------------
FieldName FieldValue
--------------------------
ID 1
Name Nisha
Description Some Desc
declare #colNum int, #i int = 1, #a nvarchar(4000)
select #colNum=count(COLUMN_NAME) from INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'YourTable'
set #a = '
declare #tempTable table
(
slno int
,field nvarchar(100)
,value nvarchar(100)
)
insert into #tempTable (slno,field)
select ROW_NUMBER() over (order by ordinal_position asc),COLUMN_NAME
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = ''YourTable''
declare #p nvarchar(100)
'
declare #colname nvarchar(100)
while #i<=#colNum
begin
select #colname =a.COLUMN_NAME from (select COLUMN_NAME,ORDINAL_POSITION
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'YourTable'
)as a
where a.ORDINAL_POSITION = #i
set #a = #a + '
select #p='+#colname+' from YourTable
update #tempTable set
value = #p
where slno = '+CONVERT(nvarchar(5), #i)
+'
'
set #i=#i+1
end
set #a = #a + ' select * from #tempTable'
declare #tempTable table
(
slno int
,field nvarchar(100)
,value nvarchar(100)
)
insert into #tempTable exec (#a)
select * from YourTable
select * from #tempTable
Day #3 with SQL Server.
I am trying to combine 2 columns of delimited data into one output from a Table Valued Function. Here is my data:
I would like the data to be processed and placed into a table in the following format:
I am currently trying to use this CROSS APPLY TSQL statement, but I don't know what I'm doing.
USE [Metrics]
INSERT INTO dbo.tblSplitData(SplitKey, SplitString, SplitValues)
SELECT d.RawKey, c.*, e.*
FROM dbo.tblRawData d
CROSS APPLY dbo.splitstringcomma(d.DelimitedString) c, dbo.splitstringcomma(d.DelimitedValues) e
My research on CROSS APPLY has broad context, and I don't understand how it should be applied in this scenario. Do I need a subquery with an additional CROSS APPLY and a join to combine the returns from the two Table Valued Functions?
Here is the split function I was using originally (I can't remember the author to credit them):
CREATE FUNCTION [dbo].[splitstring] ( #stringToSplit VARCHAR(MAX), #Delimiter CHAR(1))
RETURNS
#returnList TABLE ([Name] [nvarchar] (500))
AS
BEGIN
DECLARE #name NVARCHAR(255)
DECLARE #pos INT
WHILE CHARINDEX(#Delimiter, #stringToSplit) > 0
BEGIN
SELECT #pos = CHARINDEX(#Delimiter, #stringToSplit)
SELECT #name = SUBSTRING(#stringToSplit, 1, #pos-1)
INSERT INTO #returnList
SELECT #name
SELECT #stringToSplit = SUBSTRING(#stringToSplit, #pos+1, LEN(#stringToSplit)-#pos)
END
INSERT INTO #returnList
SELECT #stringToSplit
RETURN
END
Edit & Revised Query
USE [Metrics]
INSERT INTO dbo.tblSplitData(SplitKey, SplitString, SplitValues)
SELECT s.RawKey, s.SplitString, v.SplitValues
FROM (
SELECT d.RawKey, d.DelimitedString,
c.item SplitString, c.rn
FROM dbo.tblRawData d
CROSS APPLY dbo.splitstring(d.DelimitedString, ',') c
) s
INNER JOIN
(
SELECT d.RawKey, d.DelimitedValues,
c.item SplitValues, c.rn
FROM dbo.tblRawData d
CROSS APPLY dbo.splitstring(d.DelimitedValues, ',') c
) v
on s.RawKey = v.RawKey
and s.rn = v.rn;
It might be easier to answer this if we could see your split string function. My answer is using a version of my split function that I have.
I would include in your split function a row number that you can use to JOIN the split string and the split values.
Split function:
CREATE FUNCTION [dbo].[Split](#String varchar(MAX), #Delimiter char(1))
returns #temptable TABLE (items varchar(MAX), rn int)
as
begin
declare #idx int
declare #slice varchar(8000)
declare #rn int = 1 -- row number that increments with each value in the delimited string
select #idx = 1
if len(#String)<1 or #String is null return
while #idx!= 0
begin
set #idx = charindex(#Delimiter,#String)
if #idx!=0
set #slice = left(#String,#idx - 1)
else
set #slice = #String
if(len(#slice)>0)
insert into #temptable(Items, rn) values(#slice, #rn)
set #String = right(#String,len(#String) - #idx)
set #rn = #rn +1
if len(#String) = 0 break
end
return
end;
Then if you have multiple columns to split, you could use a query similar to the following:
INSERT INTO dbo.tblSplitData(SplitKey, SplitString, SplitValues)
select s.rawkey,
s.splitstring,
v.splitvalues
from
(
SELECT d.RawKey, d.delimitedstring, d.delimitedvalues,
c.items SplitString,
c.rn
FROM dbo.tblRawData d
CROSS APPLY dbo.Split(d.DelimitedString, ',') c
) s
inner join
(
SELECT d.RawKey, d.delimitedstring, d.delimitedvalues,
c.items SplitValues,
c.rn
FROM dbo.tblRawData d
CROSS APPLY dbo.Split(d.DelimitedValues, ',') c
) v
on s.rawkey = v.rawkey
and s.delimitedstring = v.delimitedstring
and s.rn = v.rn;
See SQL Fiddle with Demo
This uses two subqueries that generate the list of split values, then they are joined using the row number created by the split function.
Since you are on Sql Server 2008 .You can do this without a UDF using XML.
;WITH CTE1 AS
(
SELECT *
,RN= Row_Number() OVER( Partition BY DelemitedString,DelimitedValues,RawKey,TableID ORDER BY TableID)
FROM
(
SELECT *
,DelimitedStringXML = CAST('<d>'+REPLACE(DelemitedString,',','</d><d>')+'</d>' AS XML)
,DelimitedValueXML = CAST('<d>'+REPLACE(DelimitedValues,',','</d><d>')+'</d>' AS XML)
FROM dbo.tblRawData
) as t
Cross Apply
(
SELECT y.value('.', 'VARCHAR(30)') AS SplitString FROM DelimitedStringXML.nodes('//d') as x(y)
) as b
)
,CTE2 AS
(
SELECT *
,RN= Row_Number() OVER( Partition BY DelemitedString,DelimitedValues,RawKey,TableID ORDER BY TableID)
FROM
(
SELECT *
,DelimitedStringXML = CAST('<d>'+REPLACE(DelemitedString,',','</d><d>')+'</d>' AS XML)
,DelimitedValueXML = CAST('<d>'+REPLACE(DelimitedValues,',','</d><d>')+'</d>' AS XML)
FROM dbo.tblRawData
) as t
CROSS APPLY
(
SELECT h.value('.', 'VARCHAR(30)') AS SplitValue FROM DelimitedValueXML.nodes('//d') as g(h)
) as c
)
SELECT a.RawKey,a.SplitString,b.SplitValue
FROM CTE1 as a
INNER JOIN CTE2 as b
on a.TableID= b.TableID
AND a.RN = b.RN
Here is SQLFiddle Demo
I have a table as below
DECLARE #T TABLE(Data VARCHAR(MAX))
INSERT INTO #T
SELECT 'SQL' UNION ALL SELECT 'JOB'
need output as below but without using any UDF.
Data String
------------
SQL S,Q,L
JOB J,O,B
Please help me on this
Sure you can :). You can make it shorter too...
DECLARE #T TABLE(Data VARCHAR(MAX))
INSERT INTO #T
SELECT 'SQL' UNION ALL SELECT 'JOB';
With cte as
(
Select Data, Len(Data) DataLength, 1 level
From #t
Union All
Select Data, DataLength - 1, level + 1
From cte
Where DataLength > 1
),
cte2 as
(
Select Data, SUBSTRING(Data, DataLength, 1) DataLetter, level
From cte
),
cte3 as
(
Select Data,
(
SELECT DataLetter + ','
FROM cte2 c
Where c.Data = cte2.Data
Order By level desc
FOR XML PATH(''), TYPE
).value('.[1]', 'NVARCHAR(1000)') DataComa
From cte2
Group By Data
)
Select Data, substring(DataComa, 1, Len(DataComa) - 1) Data2
From cte3
Late to the party, but here's a slightly shorter version:
DECLARE #T TABLE(Data VARCHAR(MAX));
INSERT INTO #T VALUES('SQL'),('JOB'),('FLOOB');
;WITH n AS (SELECT TOP (SELECT MAX(LEN(Data)) FROM #T)
n = ROW_NUMBER() OVER (ORDER BY [object_id]) FROM sys.all_objects
),
t AS (SELECT n, Data, Letter = SUBSTRING(t.Data, n.n, 1) FROM n
INNER JOIN #T AS t ON SUBSTRING(t.Data, n.n, 1) > ''
)
SELECT Data, STUFF((SELECT ',' + letter FROM t AS t2
WHERE t2.Data = t.Data ORDER BY t2.n FOR XML PATH(''),
TYPE).value(N'./text()[1]', N'varchar(max)'), 1, 1, '')
FROM t GROUP BY Data;
Results:
FLOOB F,L,O,O,B
JOB J,O,B
SQL S,Q,L
It is very easy to do with UDF.
But If you want with out UDF, the only one way I can think of is
something like this
DECLARE #T TABLE(Data VARCHAR(MAX))
INSERT INTO #T
SELECT 'SQL' UNION ALL SELECT 'JOB'
select replace(replace(replace(data,'S','S,'),'Q','Q,'),'L','L,') from #T
here you have to replace all the 26 characters with replace function. ie, 'A' with 'A,' 'B' with 'B,' .... 'Z' with 'Z,'
Using the same approach I used for Initcap function here http://beyondrelational.com/modules/2/blogs/70/posts/10901/tsql-initcap-function-convert-a-string-to-proper-case.aspx
DECLARE #T TABLE(Data VARCHAR(MAX))
INSERT INTO #T
SELECT 'SQL' UNION ALL SELECT 'JOB'
select data,
upper(replace(replace(replace(replace(replace(replace(replace(
replace(replace(replace(replace(replace(replace(replace(
replace(replace(replace(replace(replace(replace(replace(
replace(replace(replace(replace(replace(
' '+data ,
' a','a,'),' b','b,'),'c','c,'),'d','d,'),'e','e,'),'f','f,'),
' g','g,'),' h','h,'),'i','i,'),'j','j,'),'k','k,'),'l','l,'),
' m','m,'),' n','n,'),'o','o,'),'p','p,'),'q','q,'),'r','r,'),
' s','s,'),' t','t,'),'u','u,'),'v','v,'),'w','w,'),'x','x,'),
' y','y,'),' z','z,')) as splitted_data
from
#t