I have a table which is created dynamically. So the number of columns is unknown at the time of creation. I want to create copies of each column in the same table with first column holding the first part of comma separated value, second column the second part and so on
For example,
ID Value1 Value2 .... Valuen
1 1;2;3 4;5;6
2 A;B;C D;E;F
I want to get the output like
ID Value1Copy1 Value1Copy2 Value1Copy3 Value2Copy1 Value2Copy2 Value2Copy3 .... ValuenCopy1
1 1 2 3 4 5 6
2 A B C D E F
I am unable to achieve this for variable number of columns
The following will dynamically unpivot your data. You may notice that the only field specified is ID.
The results are dropped into a #Temp table. From there we perform a dynamic pivot
Example
Declare #YourTable table (ID int,Value1 varchar(50),Value2 varchar(50))
Insert Into #YourTable values
( 1, '1;2;3','4;5;6'),
( 2, 'A;B;C','D;E;F')
Select A.ID
,Col = concat(C.Item,'Copy',D.RetSeq)
,Value = D.RetVal
Into #Temp
From #YourTable A --<< Replace with Your actual table
Cross Apply (Select XMLData = cast((Select A.* For XML Raw) as xml ) ) B
Cross Apply (
Select Item = attr.value('local-name(.)','varchar(100)')
,Value = attr.value('.','varchar(max)')
From B.XMLData.nodes('/row') as A(r)
Cross Apply A.r.nodes('./#*') AS B(attr)
Where attr.value('local-name(.)','varchar(100)') not in ('ID','Other2Exclude')
) C
Cross Apply (
Select RetSeq = Row_Number() over (Order By (Select null))
,RetVal = LTrim(RTrim(B.i.value('(./text())[1]', 'varchar(max)')))
From (Select x = Cast('<x>' + replace((Select replace(C.Value,';','§§Split§§') as [*] For XML Path('')),'§§Split§§','</x><x>')+'</x>' as xml).query('.')) as A
Cross Apply x.nodes('x') AS B(i)
) D
Where A.ID is not null -- or any other WHERE statement
Declare #SQL varchar(max) = Stuff((Select Distinct ',' + QuoteName(Col) From #Temp Order by 1 For XML Path('')),1,1,'')
Select #SQL = '
Select *
From #Temp
Pivot (max(Value) For [Col] in (' + #SQL + ') ) p'
Exec(#SQL);
Returns
Related
I have 2 strings
Declare #WhenDetails NVarchar(Max) ='07:00:0:0;1:00:1:0;6:00:1:0;10:00:1:0;'
Declare #Dosage NVarchar(Max) ='1.00;2.00;1.00;1.00'
I need to split these 2 string and insert into a table
Example at 07:00:0:0=>1.00 1:00:1:0=>2.00
Declare #TempDosageWhenDetails Table (RowID INT IDENTITY(1,1), PatientMedicationID INT, Dosage NVARCHAR(Max),WhenDetails NVARCHAR(Max))
insert #TempDosageWhenDetails(Dosage)
select x.items
from dbo.Split('07:00:0:0;1:00:1:0;6:00:1:0;10:00:1:0;', ';') x
I have taken a table and split and inserted my when details
How can fill the dosage column as shown in the example?
Note I might have n number of records to split I have given these just an example.
Perhaps with a little JSON (assuming 2016+)
Example
Declare #WhenDetails NVarchar(Max) ='07:00:0:0;1:00:1:0;6:00:1:0;10:00:1:0;'
Declare #Dosage NVarchar(Max) ='1.00;2.00;1.00;1.00'
Select RowID = A.[Key]+1
,PatientID = null
,Dosage = B.[Value]
,WhenDetails = A.[Value]
From (
Select *
From OpenJSON( '["'+replace(#WhenDetails,';','","')+'"]' )
) A
Join (
Select *
From OpenJSON( '["'+replace(#Dosage,';','","')+'"]' )
) B
on A.[Key]=B.[Key]
Returns
RowID PatientID Dosage WhenDetails
1 NULL 1.00 07:00:0:0
2 NULL 2.00 1:00:1:0
3 NULL 1.00 6:00:1:0
4 NULL 1.00 10:00:1:0
If it helps with the Visualization:
We convert the strings into a JSON array, then it is a small matter to join the results based on the KEY
If you were to
Select * From OpenJSON( '["'+replace(#WhenDetails,';','","')+'"]' )
The results would be
key value type
0 07:00:0:0 1
1 1:00:1:0 1
2 6:00:1:0 1
3 10:00:1:0 1
EDIT - XML Approach
Select RowID = A.RetSeq
,PatientID = null
,Dosage = B.RetVal
,WhenDetails = A.RetVal
From (
Select RetSeq = row_number() over (order by 1/0)
,RetVal = ltrim(rtrim(B.i.value('(./text())[1]', 'varchar(max)')))
From (Select x = Cast('<x>' + replace((Select replace(#WhenDetails,';','§§Split§§') as [*] For XML Path('')),'§§Split§§','</x><x>')+'</x>' as xml).query('.')) as A
Cross Apply x.nodes('x') AS B(i)
) A
Join (
Select RetSeq = row_number() over (order by 1/0)
,RetVal = ltrim(rtrim(B.i.value('(./text())[1]', 'varchar(max)')))
From (Select x = Cast('<x>' + replace((Select replace(#Dosage,';','§§Split§§') as [*] For XML Path('')),'§§Split§§','</x><x>')+'</x>' as xml).query('.')) as A
Cross Apply x.nodes('x') AS B(i)
) B
on A.RetSeq=B.RetSeq
Let's say I have 2 tables where both has column called Brand. The value is comma delimited so for example if one of the table has
ACER,ASUS,HP
AMD,NVIDIA,SONY
as value. Then the other table has
HP,GIGABYTE
MICROSOFT
SAMSUNG,PHILIPS
as values.
I want to compare these table to get all matched record, in my example ACER,ASUS,HP and HP,GIGABYTE match because both has HP. Right now I'm using loop to achieve this, I'm wondering if it's possible to do this in a single query syntax.
You are correct in wanting to step away from the loop.
Since you are on 2012, String_Split() is off the table. However, there are any number of split/parse TVF functions in-the-wild.
Example 1 - without a TVF
Declare #T1 table (Brand varchar(50))
Insert Into #T1 values
('ACER,ASUS,HP'),
('AMD,NVIDIA,SONY')
Declare #T2 table (Brand varchar(50))
Insert Into #T2 values
('HP,GIGABYTE'),
('MICROSOFT'),
('SAMSUNG,PHILIPS')
Select Distinct
T1_Brand = A.Brand
,T2_Brand = B.Brand
From (
Select Brand,B.*
From #T1
Cross Apply (
Select RetVal = LTrim(RTrim(B.i.value('(./text())[1]', 'varchar(max)')))
From (Select x = Cast('<x>' + replace(Brand,',','</x><x>')+'</x>' as xml)) as A
Cross Apply x.nodes('x') AS B(i)
) B
) A
Join (
Select Brand,B.*
From #T2
Cross Apply (
Select RetVal = LTrim(RTrim(B.i.value('(./text())[1]', 'varchar(max)')))
From (Select x = Cast('<x>' + replace(Brand,',','</x><x>')+'</x>' as xml)) as A
Cross Apply x.nodes('x') AS B(i)
) B
) B
on A.RetVal=B.RetVal
Example 2 - with a TVF
Select Distinct
T1_Brand = A.Brand
,T2_Brand = B.Brand
From (
Select Brand,B.*
From #T1
Cross Apply [dbo].[tvf-Str-Parse](Brand,',') B
) A
Join (
Select Brand,B.*
From #T2
Cross Apply [dbo].[tvf-Str-Parse](Brand,',') B
) B
on A.RetVal=B.RetVal
Both Would Return
T1_Brand T2_Brand
ACER,ASUS,HP HP,GIGABYTE
The UDF if interested
CREATE FUNCTION [dbo].[tvf-Str-Parse] (#String varchar(max),#Delimiter varchar(10))
Returns Table
As
Return (
Select RetSeq = Row_Number() over (Order By (Select null))
,RetVal = LTrim(RTrim(B.i.value('(./text())[1]', 'varchar(max)')))
From (Select x = Cast('<x>' + replace((Select replace(#String,#Delimiter,'§§Split§§') as [*] For XML Path('')),'§§Split§§','</x><x>')+'</x>' as xml).query('.')) as A
Cross Apply x.nodes('x') AS B(i)
);
--Thanks Shnugo for making this XML safe
--Select * from [dbo].[tvf-Str-Parse]('Dog,Cat,House,Car',',')
--Select * from [dbo].[tvf-Str-Parse]('John Cappelletti was here',' ')
--Select * from [dbo].[tvf-Str-Parse]('this,is,<test>,for,< & >',',')
Had the same problem with comparing "," delimited strings
you can use "XML" to do that and compare the outputs and return the same/different value:
declare #TestInput nvarchar(255)
, #TestInput2 nvarchar(255)
set #TestInput = 'ACER,ASUS,HP'
set #TestInput2 = 'HP,GIGABYTE'
;WITH FirstStringSplit(S1) AS
(
SELECT CAST('<x>' + REPLACE(#TestInput,',','</x><x>') + '</x>' AS XML)
)
,SecondStringSplit(S2) AS
(
SELECT CAST('<x>' + REPLACE(#TestInput2,',','</x><x>') + '</x>' AS XML)
)
SELECT STUFF(
(
SELECT ',' + part1.value('.','nvarchar(max)')
FROM FirstStringSplit
CROSS APPLY S1.nodes('/x') AS A(part1)
WHERE part1.value('.','nvarchar(max)') IN(SELECT B.part2.value('.','nvarchar(max)')
FROM SecondStringSplit
CROSS APPLY S2.nodes('/x') AS B(part2)
)
FOR XML PATH('')
),1,1,'') as [Same Value]
Edit:
Changed 'Stuff' to 'XML'
How to convert multiple comma separated values in rows into multiple columns in SQL Server like I have a table with two rows
A1,1,B1,2
C1,3,D4,4
I want output like this
col1 col2 col3 col4
A1 1 B1 2
C1 3 D4 4
Another option if you have a finite or max number of columns
Example
Declare #YourTable Table ([YourCol] varchar(50))
Insert Into #YourTable Values
('A1,1,B1,2')
,('C1,3,D4,4')
Select B.*
From #YourTable A
Cross Apply (
Select Pos1 = ltrim(rtrim(xDim.value('/x[1]','varchar(max)')))
,Pos2 = ltrim(rtrim(xDim.value('/x[2]','varchar(max)')))
,Pos3 = ltrim(rtrim(xDim.value('/x[3]','varchar(max)')))
,Pos4 = ltrim(rtrim(xDim.value('/x[4]','varchar(max)')))
,Pos5 = ltrim(rtrim(xDim.value('/x[5]','varchar(max)')))
,Pos6 = ltrim(rtrim(xDim.value('/x[6]','varchar(max)')))
From (Select Cast('<x>' + replace((Select replace(A.YourCol,',','§§Split§§') as [*] For XML Path('')),'§§Split§§','</x><x>')+'</x>' as xml) as xDim) as x
) B
Returns
Pos1 Pos2 Pos3 Pos4 Pos5 Pos6
A1 1 B1 2 NULL NULL
C1 3 D4 4 NULL NULL
EDIT - Just for Fun, Here is a Dynamic Version of the Above
Just replace YourTable with your actual table name, and YourCol with the desired column to split.
Declare #SQL nvarchar(max)
Set #SQL = Stuff((Select concat(',Col',N,' = ltrim(rtrim(xDim.value(''/x[',N,']'',''varchar(max)'')))')
From (
Select Top ((Select max(len(YourCol)-len(replace(YourCol,',','')))+1 From YourTable))
N=Row_Number() Over (Order By (Select NULL))
From master..spt_values
) A
For XML Path ('')),1,1,'')
Set #SQL = '
Select A.*,B.*
From YourTable A
Cross Apply ( Select ' + #SQL +' From (Select Cast(''<x>'' + replace((Select replace(A.YourCol,'','',''§§Split§§'') as [*] For XML Path('''')),''§§Split§§'',''</x><x>'')+''</x>'' as xml) as xDim ) x ) B
'
--Print #SQL
Exec(#SQL)
Returns
YourCol Col1 Col2 Col3 Col4
A1,1,B1,2 A1 1 B1 2
C1,3,D4,4 C1 3 D4 4
Assuming your table name is t, you can follow the steps below
Step 1: Split the columns using the CSV tally type splitter
Step 2: PIVOT out the values
In a single query the solution will be
select * from
(
select
t.col as col,
row_number() over (partition by t.col order by t1.N asc) as row_num,
SUBSTRING( t.col, t1.N, ISNULL(NULLIF(CHARINDEX(',',t.col,t1.N),0)-t1.N,4000)) as split_values
from t
join
(
select
t.col,
1 as N
from t
UNION ALL
select
t.col,
t1.N + 1 as N
from t
join
(
select
top 4000
row_number() over(order by (select NULL)) as N
from
sys.objects s1
cross join
sys.objects s2
) t1
on SUBSTRING(t.col,t1.N,1) = ','
) t1
on t1.col=t.col
)src
PIVOT
( max(split_values) for row_num in ([1],[2],[3],[4],[5],[6],[7],[8]))p
working demo
PS: You can actually use a dynamic pivot if you do not know the maximum commas in the columns.
SELECT
name
FROM
sys.all.column
WHERE object_id = (SELECT object_id
FROM sys.all_objects
WHERE name ='name of my table' and type = 'TT')
AND name NOT IN (list of columns that I don't need)
How do I sum all the values of the returned columns from the preceding SQL query?
Another option which does not require dynamic SQL, but only a CROSS APPLY or two
Just for fun, I add Min, Max, and Avg just to illustrate... Also added a PctOfTotal or Common-Size
Declare #YourTable table (ID int,CustName varchar(50),Sales_Jan int,Sales_Feb int,Sales_Mar int)
Insert into #YourTable values
(1,'John Smith',25,25,50),
(2,'Jane Doe' ,35,20,null)
Select A.*
,C.*
,PctOfTotal = Format(C.Total*1.0/Sum(C.Total) over (),'0.00%')
From #YourTable A
Cross Apply (Select XMLData=cast((Select A.* For XML RAW) as xml)) B
Cross Apply (
Select Total = Sum(Value)
,Min = Min(Value)
,Max = Max(Value)
,Avg = Avg(Value)
From (
Select Value = attr.value('.','int')
From B.XMLData.nodes('/row') as A(r)
Cross Apply A.r.nodes('./#*') AS B(attr)
Where attr.value('local-name(.)','varchar(100)') Like 'Sales_%'
--Or you can Exclude Specific Columns
--Where attr.value('local-name(.)','varchar(100)') not in ('ID','CustName')
) S
) C
Returns
If I understand correctly, you want to find out some columns from meta tables that you want to sum, and then sum those columns on the given table. You can use dynamic SQL to achieve this:
create table t(a integer, b integer, c integer);
insert into t values(1,2,3);
declare #tab varchar(100);
declare #sql varchar(max);
set #sql = '';
set #tab = 't';
select #sql = #sql + '+' + a.name from sys.all_columns a
inner join
sys.all_objects b
on a.object_id = b.object_id
where b.name = #tab
and a.name not in ('c');
set #sql = 'select ' + stuff(#sql, 1, 1, '') + ' from ' + #tab;
exec(#sql);
Produces:
3
select col1,col2,col3,col4,NVL(col1,0)+NVL(col2,0)+NVL(col3,0)+NVL(col4,0)
from
(select *
from sys.all.column
where object_id =(select object_id from sys.all.object where name ='name of my table')
and name not in (list of columns that I dont need).)
A | B | Total(col1+col2)
------+------+-------
1 | 2 | 3
---------------------
1 | | 1
Whatever columns you get, sum it and put them as seperate column in the result table.
I have a table with a columns for case ID, Action, and reason.
a single case ID can have multiple rows with different actions and codes. I can pivot and get multiple rows with columns action1, action2, action3, etc., but for the life of me, can't get case id, action1, reason1, action2, reason2, etc on a single row.
If you need to go a little more dynamic (n reasons)
Drop Table #Temp
Declare #YourTable table (ID int,Action varchar(50),Reason varchar(50))
Insert Into #YourTable values
(1,'Load Data','Boss said to'),
(1,'Run Query','It is what I do'),
(2,'Take Garbage Out','Wife makes me')
-- Convert Data to EAV Structure'ish
Declare #XML xml = (Select *,GrpSeq = Row_Number() over (Partition By ID Order By (Select NULL)) from #YourTable for XML RAW)
Select ID = r.value('#ID','int')
,ColSeq = Row_Number() over (Partition By r.value('#ID','int') Order By (Select NULL))
,Element = attr.value('local-name(.)','varchar(100)')+r.value('#GrpSeq','varchar(10)')
,Value = attr.value('.','varchar(max)')
Into #Temp
From #XML.nodes('/row') as A(r)
Cross Apply A.r.nodes('./#*') AS B(attr)
Where attr.value('local-name(.)','varchar(100)') not in ('ID','GrpSeq')
-- Get Cols in correct Order
Declare #Cols varchar(max)
Set #Cols = Stuff((Select ',' + QuoteName(Element)
From (Select Distinct Top 100 Percent ColSeq,Element From #Temp Order By ColSeq ) A
For XML Path(''), Type
).value('.', 'varchar(max)'),1,1,'')
-- Execute Dynamic Pivot
Declare #SQL varchar(max) = '
Select *
From (Select ID,Element,Value From #Temp) T
Pivot (
max(Value)
For [Element] in (' + #Cols + ')
) P '
Exec(#SQL)
Returns