Transform Vertical data to Horizontal, with 60 Reg / Line - db2

From this table,
Name surname Phone
Name1 Sur1 Myphone1
Name2 Sur2 Myphone2
Name3 Sur3 Myphone3
Name4 Sur4 Myphone4
...
Name100 Sur100 Myphone100
I would like to have to select in that ways , with Lines of 60 Registers horizontally.
Name1Sur1Myphone1, ... Name60Sur60Myphone60
Name61Sur61Myphone61, ... Name100Sur100Myphone100
Someone has an idea of how I can do this ?
Thank You -

Try this:
/*
WITH
MYTAB (RN_, Name, surname, Phone) AS
(
VALUES (1, 'Name1', 'Sur1', 'Myphone1')
UNION ALL
SELECT
RN_ + 1
, 'Name' || TRIM (CHAR (RN_+1))
, 'Sur' || TRIM (CHAR (RN_+1))
, 'Myphone' || TRIM (CHAR (RN_+1))
FROM MYTAB
WHERE RN_ < 100
)
*/
SELECT LISTAGG (Name || surname || Phone, ',')
FROM
(
SELECT ROW_NUMBER () OVER () AS RN_, Name, surname, Phone
FROM MYTAB
) T
GROUP BY (RN_ - 1) / 60
ORDER BY (RN_ - 1) / 60

Related

TSQL - in a string, replace a character with a fixed one every 2 characters

I can't replace every 2 characters of a string with a '.'
select STUFF('abcdefghi', 3, 1, '.') c3,STUFF('abcdefghi', 5, 1,
'.') c5,STUFF('abcdefghi', 7, 1, '.') c7,STUFF('abcdefghi', 9, 1, '.')
c9
if I use STUFF I should subsequently overlap the strings c3, c5, c7 and c9. but I can't find a method
can you help me?
initial string:
abcdefghi
the result I would like is
ab.de.gh.
the string can be up to 50 characters
Create a numbers / tally / digits table, if you don't have one already, then you can use this to target each character position:
with digits as ( /* This would be a real table, here it's just to test */
select n from (values(1),(2),(3),(4),(5),(6),(7),(8),(9),(10))x(n)
), t as (
select 'abcdefghi' as s
)
select String_Agg( case when d.n%3 = 0 then '.' else Substring(t.s, d.n, 1) end, '')
from t
cross apply digits d
where d.n <Len(t.s)
Using for xml with existing table
with digits as (
select n from (values(1),(2),(3),(4),(5),(6),(7),(8),(9),(10))x(n)
),
r as (
select t.id, case when d.n%3=0 then '.' else Substring(t.s, d.n, 1) end ch
from t
cross apply digits d
where d.n <Len(t.s)
)
select result=(select '' + ch
from r r2
where r2.id=r.id
for xml path('')
)
from r
group by r.id
You can try it like this:
Easiest might be a quirky update ike here:
DECLARE #string VARCHAR(100)='abcdefghijklmnopqrstuvwxyz';
SELECT #string = STUFF(#string,3*A.pos,1,'.')
FROM (SELECT TOP(LEN(#string)/3) ROW_NUMBER() OVER(ORDER BY (SELECT NULL))
FROM master..spt_values) A(pos);
SELECT #string;
Better/Cleaner/Prettier was a recursive CTE:
We use a declared table to have some tabular sample data
DECLARE #tbl TABLE(ID INT IDENTITY, SomeString VARCHAR(200));
INSERT INTO #tbl VALUES('')
,('a')
,('ab')
,('abc')
,('abcd')
,('abcde')
,('abcdefghijklmnopqrstuvwxyz');
--the query
WITH recCTE AS
(
SELECT ID
,SomeString
,(LEN(SomeString)+1)/3 AS CountDots
,1 AS OccuranceOfDot
,SUBSTRING(SomeString,4,LEN(SomeString)) AS RestString
,CAST(LEFT(SomeString,2) AS VARCHAR(MAX)) AS Growing
FROM #tbl
UNION ALL
SELECT t.ID
,r.SomeString
,r.CountDots
,r.OccuranceOfDot+2
,SUBSTRING(RestString,4,LEN(RestString))
,CONCAT(Growing,'.',LEFT(r.RestString,2))
FROM #tbl t
INNER JOIN recCTE r ON t.ID=r.ID
WHERE r.OccuranceOfDot/2<r.CountDots-1
)
SELECT TOP 1 WITH TIES ID,Growing
FROM recCTE
ORDER BY ROW_NUMBER() OVER(PARTITION BY ID ORDER BY OccuranceOfDot DESC);
--the result
1
2 a
3 ab
4 ab
5 ab
6 ab.de
7 ab.de.gh.jk.mn.pq.st.vw.yz
The idea in short
We use a recursive CTE to walk along the string
we add the needed portion together with a dot
We stop, when the remaining length is to short to continue
a little magic is the ORDER BY ROW_NUMBER() OVER() together with TOP 1 WITH TIES. This will allow all first rows (frist per ID) to appear.

Find and Replace numbers in a string

If I input a string as given below, I should be able to convert as mentioned below.
Ex 1: String - 5AB89C should be converted as 0000000005AB0000000089C
Ex 2: String GH1HJ should be converted as GH0000000001HJ
Ex 3: String N99K7H45 should be B0000000099K0000000007H0000000045
Each number should be complimented with 10 leading zeros including the number. In Ex:1, number 5 is complemented with 9 leading zeros making 10 digits, same way 89 is complimented with 8 leading zeros making total of 10 digits. Alphabets and any special characters should be untouched.
Once you get a copy of PatternSplitCM This is easy as pie.
Here's how we do it with one value:
DECLARE #string VARCHAR(8000) = '5AB89C'
SELECT CASE f.[matched] WHEN 1 THEN '00000000'+'' ELSE '' END + f.item
FROM dbo.patternsplitCM(#String,'[0-9]') AS f
ORDER BY f.ItemNumber
FOR XML PATH('');
Returns: 000000005AB0000000089C
Now against a table:
-- sample data
DECLARE #table TABLE (StringId INT IDENTITY, String VARCHAR(8000));
INSERT #table(String)
VALUES('5AB89C'),('GH1HJ'),('N99K7H45');
SELECT t.StringId, oldstring = t.String, newstring = f.padded
FROM #table AS t
CROSS APPLY
(
SELECT CASE f.[matched] WHEN 1 THEN '00000000'+'' ELSE '' END + f.item
FROM dbo.patternsplitCM(t.String,'[0-9]') AS f
ORDER BY f.ItemNumber
FOR XML PATH('')
) AS f(padded);
Returns:
StringId oldstring newstring
----------- ----------------- --------------------------------------
1 5AB89C 000000005AB0000000089C
2 GH1HJ GH000000001HJ
3 N99K7H45 N0000000099K000000007H0000000045
... and that's it. The code to create PatternSplitCM is below.
PatternSplitCM Code:
CREATE FUNCTION dbo.PatternSplitCM
(
#List VARCHAR(8000) = NULL
,#Pattern VARCHAR(50)
) RETURNS TABLE WITH SCHEMABINDING
AS
RETURN
WITH numbers AS (
SELECT TOP(ISNULL(DATALENGTH(#List), 0))
n = ROW_NUMBER() OVER(ORDER BY (SELECT NULL))
FROM
(VALUES (0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) d (n),
(VALUES (0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) e (n),
(VALUES (0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) f (n),
(VALUES (0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) g (n))
SELECT
ItemNumber = ROW_NUMBER() OVER(ORDER BY MIN(n)),
Item = SUBSTRING(#List,MIN(n),1+MAX(n)-MIN(n)),
Matched
FROM (
SELECT n, y.Matched, Grouper = n - ROW_NUMBER() OVER(ORDER BY y.Matched,n)
FROM numbers
CROSS APPLY (
SELECT Matched = CASE WHEN SUBSTRING(#List,n,1) LIKE #Pattern THEN 1 ELSE 0 END
) y
) d
GROUP BY Matched, Grouper

Get characters before underscore and separated by comma from a string in SQL Server 2008

I tried this query
DECLARE #AdvancedSearchSelectedDropdownName TABLE (
SelectedIds VARCHAR(2048),
AdvanceSearchOptionTypeId INT
)
INSERT INTO #AdvancedSearchSelectedDropdownName
VALUES ('4_0,5_1,6_2,7_3', 23),
('62_3', 21), ('2_4', 23)
DECLARE #selectedIds VARCHAR(MAX) = '';
SELECT #selectedIds +=
CASE WHEN SelectedIds IS NULL
THEN #selectedIds + ISNULL(SelectedIds + ',', '')
WHEN SelectedIds IS NOT NULL
THEN SUBSTRING(SelectedIds, 0, CHARINDEX('_', SelectedIds, 0)) + ','
END
FROM #AdvancedSearchSelectedDropdownName WHERE advanceSearchOptionTypeId = 23
SELECT #selectedIds
Current output: 4,2
Required output: 4,5,6,7,2
We may have n number of comma separated values in the SelectedIds column.
You might go this route:
WITH Casted AS
(
SELECT *
,CAST('<x><y>' + REPLACE(REPLACE(SelectedIds,'_','</y><y>'),',','</y></x><x><y>') + '</y></x>' AS XML) SplittedToXml
FROM #AdvancedSearchSelectedDropdownName
)
SELECT *
FROM Casted;
This will return your data in this form:
<x>
<y>4</y>
<y>0</y>
</x>
<x>
<y>5</y>
<y>1</y>
</x>
<x>
<y>6</y>
<y>2</y>
</x>
<x>
<y>7</y>
<y>3</y>
</x>
Now we can grab all the x and just the first y:
WITH Casted AS
(
SELECT *
,CAST('<x><y>' + REPLACE(REPLACE(SelectedIds,'_','</y><y>'),',','</y></x><x><y>') + '</y></x>' AS XML) SplittedToXml
FROM #AdvancedSearchSelectedDropdownName
)
SELECT Casted.AdvanceSearchOptionTypeId AS TypeId
,x.value('y[1]/text()[1]','int') AS IdValue
FROM Casted
CROSS APPLY SplittedToXml.nodes('/x') A(x);
The result:
TypeId IdValue
23 4
23 5
23 6
23 7
21 62
23 2
Hint: Do not store comma delimited values!
It is a very bad idea to store your data in this format. You can use a generic format like my XML to store this or a structure of related side tables. But such construction tend to turn out as a real pain in the neck...
After a little re-think. Perhaps something a little more straightforward.
Now, if you have a limited number of _N
Example
;with cte as (
Select *
,RN = Row_Number() over(Order by (Select NULL))
From #AdvancedSearchSelectedDropdownName A
)
Select AdvanceSearchOptionTypeId
,IDs = replace(
replace(
replace(
replace(
replace(
stuff((Select ',' +SelectedIds From cte Where AdvanceSearchOptionTypeId=A.AdvanceSearchOptionTypeId Order by RN For XML Path ('')),1,1,'')
,'_0','')
,'_1','')
,'_2','')
,'_3','')
,'_4','')
From cte A
Group By AdvanceSearchOptionTypeId
Returns
AdvanceSearchOptionTypeId IDs
21 62
23 4,5,6,7,2
If interested in a helper function.
Tired of extracting strings (left, right, charindex, patindex, ...) I modified s split/parse function to accept TWO non-like delimiters. In this case a , and _.
Example
;with cte as (
Select A.AdvanceSearchOptionTypeId
,B.*
,RN = Row_Number() over(Order by (Select NULL))
From #AdvancedSearchSelectedDropdownName A
Cross Apply [dbo].[tvf-Str-Extract](','+A.SelectedIds,',','_') B
)
Select AdvanceSearchOptionTypeId
,IDs = stuff((Select ',' +RetVal From cte Where AdvanceSearchOptionTypeId=A.AdvanceSearchOptionTypeId Order by RN,RetVal For XML Path ('')),1,1,'')
From cte A
Group By AdvanceSearchOptionTypeId
Returns
AdvanceSearchOptionTypeId IDs
21 62
23 4,5,6,7,2
The TVF if Interested
CREATE FUNCTION [dbo].[tvf-Str-Extract] (#String varchar(max),#Delimiter1 varchar(100),#Delimiter2 varchar(100))
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 N1,cte1 N2,cte1 N3,cte1 N4,cte1 N5,cte1 N6) A ),
cte3(N) As (Select 1 Union All Select t.N+DataLength(#Delimiter1) From cte2 t Where Substring(#String,t.N,DataLength(#Delimiter1)) = #Delimiter1),
cte4(N,L) As (Select S.N,IsNull(NullIf(CharIndex(#Delimiter1,#String,s.N),0)-S.N,8000) From cte3 S)
Select RetSeq = Row_Number() over (Order By N)
,RetPos = N
,RetVal = left(RetVal,charindex(#Delimiter2,RetVal)-1)
From (
Select *,RetVal = Substring(#String, N, L)
From cte4
) A
Where charindex(#Delimiter2,RetVal)>1
)
/*
Max Length of String 1MM characters
Declare #String varchar(max) = 'Dear [[FirstName]] [[LastName]], ...'
Select * From [dbo].[tvf-Str-Extract] (#String,'[[',']]')
*/
Disclaimer.As per first Normal form, you should not store multiple values in a single cell. I would suggest you to avoid storing this way.
Still the approach would be: Create a UDF function which separates comma separated list into a table valued variable. Below code I have not tested. but, it gives idea on how to approach this problem.
Refer to CSV to table approaches
Declare #selectedIds varchar(max) = '';
SET #selectedIds = SELECT STUFF
(SELECT ','+ (SUBSTRING(c.value, 0, CHARINDEX('_', c.value, 0))
FROM #AdvancedSearchSelectedDropdownName AS tv
CROSS APPLY dbo.udfForCSVToList(SelectedIds) AS c
WHERE advanceSearchOptionTypeId = 23
FOR XML PATH('')),1,2,'');
SELECT #selectedIds

SQL Dynamic partition in count function

I have a stored procedure that is being used with reporting services and the report has a few user filters that are passing values into the stored procedure. Because of these parameters the count for what is displayed changes so I want to use them in the partition to change the count. I tried the following which does not work.
EDIT:
The count is done on ss_number but not on #SearchBy. So if I have
SS# | Name | City | Amount
123456789 | Mike Smith | Trenton | 100.00
123456789 | Mike Smith | Trenton | 200.00
123456789 | Mike Smith | Jackson | 100.00
My count is 3 even though #SearchBy = City and I am filtering on Trenton.
CASE WHEN #SearchBy = 'Product Name' THEN count(ss_number) OVER (PARTITION BY ss_number, #SearchBy)
Right now I am using a case statement but it has slowed my query down considerably.
Here is the code without the case statement attempting to use the variable in my partition.
CREATE PROCEDURE [dbo].[sp_My_sp]
#SearchBy VARCHAR(MAX),
#SearchString VARCHAR(MAX),
#SearchNum Int,
#ClaimDate Datetime2
AS
WITH MyCTE AS
(
SELECT val.Claim_date
, val.Claim_Status
, val.Status_Desc
, ES_Claim_Status
, val.ss_number
, val.name_field1
, val.street_add1
, val.street_add2
, val.city
, val.state
, val.zip_code_pre
, val.reference_number
, val.Game_Name
, val.val_agent
, val.home_number
, val.work_phone
, val.county_desc
, o.agent_num
, count(ss_number) OVER (PARTITION BY ss_number, #SearchBy) as count
, prize_amount
FROM Sec_Claims val left outer join vw_owners_concat_agent_num o
ON val.SS_NUMBER = convert(varchar(15),o.SS_NO)
where convert(numeric,prize_amount) >= 600)
SELECT Claim_date
, CASE WHEN agent_num IS NULL THEN 'NO' ELSE 'YES' END as "IsRetailer"
, Claim_Status
, Status_Desc
, ES_Claim_Status
, ss_number
, name_field1
, street_add1
, street_add2
, city
, state
, zip_code_pre
, reference_number
, Game_Name
, val_agent
, home_number
, work_phone
, county_desc
, agent_num
, count
, ROW_NUMBER() OVER(PARTITION BY Name_Field1 ORDER BY Name_Field1) As RowNumber
, convert(decimal(10,2),prize_amount) as prize_amount
, sum(Convert(decimal(9,2),prize_amount)) OVER (PARTITION BY ss_number, Name_Field1) AS prizesum
FROM MyCTE
WHERE
(CASE
WHEN #SearchBy = 'Agent Number' THEN agent_num
WHEN #SearchBy = 'SS#' THEN SS_NUMBER
WHEN #SearchBy = 'Name' THEN Name_Field1
WHEN #SearchBy = 'Address' THEN STREET_ADD1
WHEN #SearchBy = 'City' THEN City
WHEN #SearchBy = 'Claim#' THEN convert(varchar(max),REFERENCE_NUMBER)
WHEN #SearchBy = 'Validating Retailer' THEN convert(varchar(max),VAL_AGENT)
WHEN #SearchBy = 'County' THEN COUNTY_DESC
WHEN #SearchBy = 'Home Phone' THEN convert(varchar(max),HOME_NUMBER)
WHEN #SearchBy = 'Work Phone' THEN convert(varchar(max),WORK_PHONE)
WHEN #SearchBy = 'Game Name' THEN GAME_NAME
END
like (#SearchString))
and
count>= #SearchNum
and
claim_date > #ClaimDate
ORDER BY ss_number
your query is slowing down because, as you can imagine, the "case" statement needs to be evaluated for every row, being in a Select statement.
This means that if your query is loading many rows you put a lot of overhead.
I see two different approaches to solve your issue. I don't love any of them but they works :)
FIRST SOLUTION
use a IF ... ELSE to cover all you possible inputs.
This means that you'll have to write many times the same query just to differentiate it in one line of code.
This means code becomes rendundant and basically not maintaniable
SECOND SOLUTION
Build a dynamic query.
You can write something like this
DECLARE #myQuery nvarchar(max)
SET #myQuery = 'Select '
if #SearchBy = 'Product Name'
SET #myQuery= #myQuery + 'count(ss_number) OVER (PARTITION BY ss_number, #SearchBy)'
ELSE
.... --put here your second case
END
SET #myQuery= #myQuery + 'FROM ... WHERE ...'
EXECUTE spexecute_sql #myQuery
Try use "Case" inside Over statement:
Declare #SearchBy varchar(255)
SET #SearchBy = 'Product Name'
Select count(ss_number)
OVER (PARTITION BY ss_number,
Case #SearchBy
When 'Product Name' then [Name]
When 'City Name' then [City]
When 'Product Name' then cast([Amount] as varchar(255))
END) t
from (VALUES (123456789,'Mike Smith','Trenton',100.00)
,(123456789,'Mike Smith','Trenton',200.00)
,(123456789,'Mike Smith','Jackson',100.00)
) as t([ss_number],Name,City,Amount)
Judging by what you want, you are first going to need Dynamic SQL. With that being said, you can use row_number(). I still don't understand your extra partition by, but you can just add it to the example below. You can run this, and it will print out the command that is going to be executed.
--create procedure yourProc(
-- #SearchBY varchar(64) --Column to search / filter by
-- ,#SearchString varchar(256) --Values to limit column above by
-- ,#Count int --limit the count per each SSN
-- ,#Date datetime)
--as
--begin
declare #SearchBY varchar(64) = 'City' --Column to search / filter by
declare #SearchString varchar(256) = 'Trenton' --Values to limit column above by
declare #Count int = 3 --limit the count per each SSN
declare #Date datetime = '12/25/2017'
declare #SQL nvarchar(max) =
'with cte as(
select
ss_number
,Name
,City
,Amount
,row_number() over (partition by ss_number order by (select 1)) as RN
from
YourTable
where
SomeDateColumn >= ''' + convert(varchar(10),#Date,112) +
''' and ' + #SearchBY + ' = ''' + #SearchString +
''')
select *
from cte
where ss_number in
(select distinct ss_number from cte where RN >= ' + cast(#Count as varchar(16)) + ')
'
print(#SQL)
--exec(#SQL)
--end
Here is a working example: http://rextester.com/BPWOXH7777

T-SQL split string by - and space

I'm having difficult time with T-SQL and I was wondering if somebody could me point me to the right track.
I have the following variable called #input
DECLARE #input nvarchar(100);
SET #input= '27364 - John Smith';
-- SET #input= '27364 - John Andrew Smith';
I need to split this string in 3 parts (ID,Firstname and LastName) or 4 if the string contains a MiddleName. For security reason I cannot use functions.
My aproach was use Substring and Charindex.
SET #Id = SUBSTRING(#input, 1, CASE CHARINDEX('-', #input)
WHEN 0
THEN LEN(#input)
ELSE
CHARINDEX('-', #input) - 2
END);
SET #FirstName = SUBSTRING(#input, CASE CHARINDEX(' ', #input)
WHEN 0
THEN LEN(#input) + 1
ELSE
CHARINDEX(' ', #input) + 1
END, 1000);
SET #LastName = SUBSTRING(#input, CASE CHARINDEX(' ', #input)
WHEN 0
THEN LEN(#input) + 1
ELSE
CHARINDEX('0', #input) + 1
END, 1000);
Select #PartyCode,#FirstName,#LastName
I am stuck because I don't know how to proceed and also the code has to be smart enough to add a fourth split if Middlename exists.
Any thoughts?
Thanks in advance
Hopefully this is part of a normalization project. This data is breaking 1NF and one really should avoid that...
Try it like this
The advantages
typesafe values
ad-hoc SQL
set based
If you want you might use a CASE WHEN to check if the last part is NULL and place Part2 into Part3 in this case...
DECLARE #input table(teststring nvarchar(100));
INSERT INTO #input VALUES
(N'27364 - John Smith'),(N'27364 - John Andrew Smith');
WITH Splitted AS
(
SELECT CAST(N'<x>' + REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(teststring,N' - ',N' '),N'&',N'&'),N'<',N'<'),N'>',N'>'),N' ',N'</x><x>') + N'</x>' AS XML) testXML
FROM #input
)
SELECT testXML.value('/x[1]','int') AS Number
,testXML.value('/x[2]','nvarchar(max)') AS Part1
,testXML.value('/x[3]','nvarchar(max)') AS Part2
,testXML.value('/x[4]','nvarchar(max)') AS Part3
FROM Splitted
The result
Number Part1 Part2 Part3
27364 John Smith NULL
27364 John Andrew Smith
SQL Server 2016 has a new built-in function called STRING_SPLIT()
Assuming creating built-in functions, but CLR functions are not allowed:
CREATE FUNCTION dbo.WORD_SPLIT
(
#String AS nvarchar(4000)
)
RETURNS TABLE
AS
RETURN
(
WITH Spaces AS
(
SELECT Spaced.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY (SELECT 1)) AS ordinal
FROM STRING_SPLIT(#String, ' ') AS Spaced
)
, Tabs AS
(
SELECT Tabbed.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY s.ordinal, (SELECT 1)) AS ordinal
FROM Spaces AS s
CROSS APPLY STRING_SPLIT(s.[value], ' ') AS Tabbed
)
, NewLines1 AS
(
SELECT NewLined1.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY t.ordinal, (SELECT 1)) AS ordinal
FROM Tabs AS t
CROSS APPLY STRING_SPLIT(t.[value], CHAR(13)) AS NewLined1
)
, NewLines2 AS
(
SELECT NewLined2.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY nl1.ordinal, (SELECT 1)) AS ordinal
FROM NewLines1 AS nl1
CROSS APPLY STRING_SPLIT(nl1.[value], CHAR(10)) AS NewLined2
)
SELECT LTRIM(RTRIM(nl2.[value])) AS [value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY nl2.ordinal, (SELECT 1)) AS ordinal
FROM NewLines2 AS nl2
WHERE LTRIM(RTRIM(nl2.[value])) <> ''
)
GO
Usage:
-- Not Normailized
SELECT i.*, split.[value], split.[ordinal]
FROM #input AS i
CROSS APPLY dbo.WORD_SPLIT(i.teststring) AS split
-- Normalized
;WITH Splitted AS
(
SELECT split.[value], split.[ordinal]
FROM #input AS i
CROSS APPLY dbo.WORD_SPLIT(i.teststring) AS split
)
SELECT *
FROM (SELECT [value], 'part' + CONVERT(nvarchar(20), [ordinal]) AS [parts] FROM Splitted) AS s
PIVOT (MAX([value]) FOR [parts] IN ([part1], [part2], [part3], [part4])
Or assuming that, per-security, you are not allowed to make schema changes:
WITH Splitting AS
(
SELECT teststring AS [value]
FROM #input
)
WITH Spaces AS
(
SELECT Spaced.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY (SELECT 1)) AS ordinal
FROM Splitting AS sp
CROSS APPLY STRING_SPLIT(sp.[value], ' ') AS Spaced
)
, Tabs AS
(
SELECT Tabbed.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY s.ordinal, (SELECT 1)) AS ordinal
FROM Spaces AS s
CROSS APPLY STRING_SPLIT(s.[value], ' ') AS Tabbed
)
, NewLines1 AS
(
SELECT NewLined1.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY t.ordinal, (SELECT 1)) AS ordinal
FROM Tabs AS t
CROSS APPLY STRING_SPLIT(t.[value], CHAR(13)) AS NewLined1
)
, NewLines2 AS
(
SELECT NewLined2.[value], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY nl1.ordinal, (SELECT 1)) AS ordinal
FROM NewLines1 AS nl1
CROSS APPLY STRING_SPLIT(nl1.[value], CHAR(10)) AS NewLined2
)
, Splitted AS
(
SELECT LTRIM(RTRIM(nl2.[value])) AS [teststring], ROW_NUMBER() OVER (PARTITION BY 1 ORDER BY nl2.ordinal, (SELECT 1)) AS ordinal
FROM NewLines2 AS nl2
WHERE LTRIM(RTRIM(nl2.[value])) <> ''
)
SELECT *
FROM (SELECT [value], 'part' + CONVERT(nvarchar(20), [ordinal]) AS [parts] FROM Splitted) AS s
PIVOT (MAX([value]) FOR [parts] IN ([part1], [part2], [part3], [part4])
Hopefully helpful!