I have a set of data
name
AASADF2
AASADF3
ADSFFD2
ADSFFD3
AAWFWEF
SFASFSF
ADAQWEW
ASDAWFA
FSDGFRG
AFWEFR2
AFWEFR3
I wanted to retrieve data with name ending 2 or 3 also first 6 character should match
i.e
AASADF2
AASADF3
ADSFFD2
ADSFFD3
AFWEFR2
AFWEFR3
I was able to display the data vertically using self join
AASADF2 AASADF3
ADSFFD2 ADSFFD3
AFWEFR2 AFWEFR3
But I wanted that in horizontal format
AASADF2
AASADF3
ADSFFD2
ADSFFD3
AFWEFR2
AFWEFR3
Do we need to create temp table for this to acheive this format
Any thoughts?
Is this what you want :
select t.*
from table t
where right(nm, 1) in ('2', '3') and
exists (select 1 from table t1 where left(t1.nm, 6) = left(t.nm, 6))
One method uses window functions:
select t.*
from (select t.*, count(*) over (partition by left(t.field, 6)) as cnt
from t
) t
where cnt > 1 and field like '%[23]';
SELECT distinct t1.field FROM TABLE t1 JOIN TABLE t2
ON t1.field != t2.field
AND RIGHT(t1.field,1 ) IN ('2', '3')
AND LEFT(t1.field, 6) = LEFT(t2.field,6);
--*********************************************
here is a full example for you
DECLARE #table TABLE
(
field nvarchar(10)
)
insert #table (field) values ('AASADF2'),
('AASADF3'),
('ADSFFD2'),
('ADSFFD3'),
('AAWFWEF'),
('SFASFSF'),
('ADAQWEW'),
('ASDAWFA'),
('FSDGFRG'),
('AFWEFR2'),
('AFWEFR3');
SELECT distinct t1.field FROM #table t1 JOIN #table t2
ON t1.field != t2.field
AND RIGHT(t1.field,1 ) IN ('2', '3')
AND LEFT(t1.field, 6) = LEFT(t2.field,6)
output
field
----------
AASADF2
AASADF3
ADSFFD2
ADSFFD3
AFWEFR2
AFWEFR3
(6 row(s) affected)
I was able to retrieve partial results,
If we check count > 1 which will show the results which I am looking for , I used the below query
;with cte as
(select t1.name from t_name t1
where substring(t1.name, 8, 1) in
(
select substring(t2.name, 8, 1) from t_name t2
where
substring(t2.name, 8, 1)='2'
or substring(t2.name, 8, 1)='3'
)
)
B2018BT2 1
B2018BU2 1
B2018BV2 1
B2018BW2 1
B2018BX2 1
B2018BY2 1
B2018BZ2 1
B2020AA2 2
B2020AA3 2
B2020AB2 2
B2020AB3 2
B2020AC2 2
B2020AC3 2
Can someone suggest how to do a filer on count>1?
Related
I'm trying to copy data from one table to another, while transposing it and combining it into appropriate rows, with different columns in the second table.
First time posting. Yes this may seem simple to everyone here. I have tried for a couple hours to solve this. I do not have much support internally and have learned a great deal on this forum and managed to get so much accomplished with your other help examples. I appreciate any help with this.
Table 1 has the data in this format.
Type Date Value
--------------------
First 2019 1
First 2020 2
Second 2019 3
Second 2020 4
Table 2 already has the Date rows populated and columns created. It is waiting for the Values from Table 1 to be placed in the appropriate column/row.
Date First Second
------------------
2019 1 3
2020 2 4
For an update, I might use two joins:
update t2
set first = tf.value,
second = ts.value
from table2 t2 left join
table1 tf
on t2.date = tf.date and tf.type = 'First' left join
table1 ts
on t2.date = ts.date and ts.type = 'Second'
where tf.date is not null or ts.date is not null;
use conditional aggregation
select date,max(case when type='First' then value end) as First,
max(case when type='Second' then value end) as Second from t
group by date
You can do conditional aggregation :
select date,
max(case when type = 'first' then value end) as first,
max(case when type = 'Second' then value end) as Second
from table t
group by date;
After that you can use cte :
with cte as (
select date,
max(case when type = 'first' then value end) as first,
max(case when type = 'Second' then value end) as Second
from table t
group by date
)
update t2
set t2.First = t1.First,
t2.Second = t1.Second
from table2 t2 inner join
cte t1
on t1.date = t2.date;
Seems like you're after a PIVOT
DECLARE #Table1 TABLE
(
[Type] NVARCHAR(100)
, [Date] INT
, [Value] INT
);
DECLARE #Table2 TABLE(
[Date] int
,[First] int
,[Second] int
)
INSERT INTO #Table1 (
[Type]
, [Date]
, [Value]
)
VALUES ( 'First', 2019, 1 )
, ( 'First', 2020, 2 )
, ( 'Second', 2019, 3 )
, ( 'Second', 2020, 4 );
INSERT INTO #Table2 (
[Date]
)
VALUES (2019),(2020)
--Show us what's in the tables
SELECT * FROM #Table1
SELECT * FROM #Table2
--How to pivot the data from Table 1
SELECT * FROM #Table1
PIVOT (
MAX([Value]) --Pivot on this Column
FOR [Type] IN ( [First], [Second] ) --Make column where [Value] is in one of this
) AS [pvt] --Table alias
--which gives
--Date First Second
------------- ----------- -----------
--2019 1 3
--2020 2 4
--Using that we can update #Table2
UPDATE [tbl2]
SET [tbl2].[First] = pvt.[First]
,[tbl2].[Second] = pvt.[Second]
FROM #Table1 tbl1
PIVOT (
MAX([Value]) --Pivot on this Column
FOR [Type] IN ( [First], [Second] ) --Make column where [Value] is in one of this
) AS [pvt] --Table alias
INNER JOIN #Table2 tbl2 ON [tbl2].[Date] = [pvt].[Date]
--Results from #Table 2 after updated
SELECT * FROM #Table2
--which gives
--Date First Second
------------- ----------- -----------
--2019 1 3
--2020 2 4
I need to write a stored procedure or table function to return a new data table as a new data source.
I wish to loop through the original table for every 5 rows base on the invoice ID column (it's possible not start from 1), the first 5 rows add to the left of the new table and the second 5 rows add to the right of the new table, the third 5 rows to the left and so on.
For example, Here is the original table:
Here is the expect table:
Thanks in advance!
declare #rowCount int = 5;
with cte as (
select *,( (IN_InvoiceID-1) / #rowCount ) % 2 group1
,( (IN_InvoiceID-1) / #rowCount ) group2
,IN_InvoiceID % #rowCount group3
from T
)
select * from cte
select T1.INID,T1.IN_InvoiceID,T1.IN_InvoiceAmount,T2.INID,T2.IN_InvoiceID,T2.IN_InvoiceAmount
from CTE T1
left join CTE T2 on T2.group1 = 1 and T1.group2 = T2.group2-1 and T1.group3 = T2.group3
where T1.group1 = 0
Test DDL
CREATE TABLE T
([INID] varchar(38), [IN_InvoiceID] int, [IN_InvoiceAmount] int)
;
INSERT INTO T
([INID], [IN_InvoiceID], [IN_InvoiceAmount])
VALUES
('DB3E17E6-35C5-41:121-93B1-F809BF6B2972', 1, 2999),
('3212F048-8213-4FCC-AB64-121485B77D4E43', 2, 3737),
('E3526373-A204-40F5-801C-7F8302A4E5E2', 3, 3175),
('76CC9C19-BF79-4E8A-8034-A33805AD3390', 4, 391),
('EC7A2FBC-B62D-4865-88DE-A8097975F125', 5, 1206),
('52AD3046-21331-4F0A-BD1D-67F232C54244', 6, 402),
('CA48F132-A9F5-4516-9E58-CDEE6644AAD1', 7, 1996),
('02E10C31-CAB2-4220-B66A-CEE5E67A9378', 8, 3906),
('98F1EEFF-B07A-4B65-87F4-E165264284DD', 9, 2575),
('91EBDD8B-B73C-470C-8900-DD66078483DB', 10, 2965),
('6E2490E5-C4DE-4833-877F-1590F7BDC1B8', 11, 1603),
('00985921-AC3C-4E3E-BAE1-7F58302F831A', 12, 1302)
;
Result:
Could you please check article Display Data in Multiple Columns using SQL showing with example case how a database developer can show the list of data rows in a columnar mode using Row_Number() function and mode arithmetic expression
You need to add additional columns from the same row that is different in the sample
Seems as if you want to split the table into 2 tables with alternating 5 rows. An easy way to do this would be:
Take data into a temp table having an extra column (lets say
grouping_id)
Update the grouping id so that each 5 rows have the same id. You can
use in_invoiceId % 5 (the nod function). After this step the first 5
rows will have grouping_id 0, next 5 will have 1, next will have 2
(assuming your invoice id is incremented +1 for all rows).
You can just do a normal select with where clause for odd and even grouping_id
Ideally, you can manage with the 2 tables Master and detail table.
But due to my curiosity, I am able to solve and give the answer as
Declare #table table(id int identity, invoice_id int)
; WITH Numbers AS
(
SELECT n = 1
UNION ALL
SELECT n + 1
FROM Numbers
WHERE n+1 <= 50
)
insert into #table SELECT n
FROM Numbers
Select (a.id )%5 ,* from #table a join #table b on a.id+5 = b.id and a.id != b.id
;WITH Numbers AS
(
SELECT n = 1, o = 5
UNION ALL
SELECT n + 10, o = o+10
FROM Numbers
WHERE n+1 <= 50
)
select a.id ParentId,a.invoice_id ParentInvoiceId, --b.n, b.o,
c.invoice_id childInvoiceID from #table a
join Numbers b on a.id between b.n and b.o
left join #table c on a.id + 5 = c.id
Here is my solution
First i create grps based on whether the in_invoiceid is divisible by 5 or not.(Ignore the remainders)
After that i create a category to indicate between alternative groups(ie by checking if the remainder is 0 or otherise)
Then its a matter of dense_ranking the records on the basis of the category field ordered by in_invoiceid
Lastly a join with category=1 rows with same dense_rank as those records in category=0
create table Invoicetable(IN_ID varchar(100), IN_InvoiceID int)
INSERT INTO Invoicetable (IN_ID, IN_InvoiceID)
VALUES
('2345-BCDE-6645-1DDF', 1),
('2345-BCDE-6645-3DDF', 2),
('2345-BCDE-6645-4DDF', 3),
('2345-BCDE-6645-5DDF', 4),
('2345-BCDE-6645-6DDF', 5),
('2345-BCDE-6645-7DDF', 6),
('2345-BCDE-6645-aDDF', 7),
('2345-BCDE-6645-sDDF', 8),
('2345-BCDE-6645-dDDF', 9),
('2345-BCDE-6645-dDDF', 10),
('2345-BCDE-6645-dDDF', 11),
('2345-BCDE-6645-dDDF', 12);
with data
as (
select *
,(in_invoiceid-1)/5 as grp
,case when ((in_invoiceid-1)/5)%2=0 then '1' else '0' end as category
,dense_rank() over(partition by case when ((in_invoiceid-1)/5)%2=0 then '1' else '0' end
order by in_invoiceid) as rnk
from invoicetable a
)
select *
from data a
left join data b
on a.rnk=b.rnk
and b.category=0
where a.category=1
Here is db fiddle link.
https://dbfiddle.uk/?rdbms=sqlserver_2017&fiddle=287f101737c580ca271940764b2536ae
You may try with the following approach. Dividing the table is done with (((ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) - 1) / 5) % 2 = 0) which groups records in left and right groups.
CREATE TABLE #InvoiceTable(
IN_ID varchar(24),
IN_InvoiceID int
)
INSERT INTO #InvoiceTable (IN_ID, IN_InvoiceID)
VALUES
('2345-BCDE-6645-1DDF', 1),
('2345-BCDE-6645-3DDF', 2),
('2345-BCDE-6645-4DDF', 3),
('2345-BCDE-6645-5DDF', 4),
('2345-BCDE-6645-6DDF', 5),
('2345-BCDE-6645-7DDF', 6),
('2345-BCDE-6645-aDDF', 7),
('2345-BCDE-6645-sDDF', 8),
('2345-BCDE-6645-dDDF', 9),
('2345-BCDE-6645-dDDF', 10),
('2345-BCDE-6645-dDDF', 11),
('2345-BCDE-6645-dDDF', 12);
WITH cte AS (
SELECT
IN_ID,
IN_InvoiceID,
CASE
WHEN (((ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) - 1) / 5) % 2 = 0) THEN 'L'
ELSE 'R'
END AS IN_Position
FROM #InvoiceTable
),
cteL AS (
SELECT IN_ID, IN_InvoiceID, ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) AS IN_RowNumber
FROM cte
WHERE IN_Position = 'L'
),
cteR AS (
SELECT IN_ID, IN_InvoiceID, ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) AS IN_RowNumber
FROM cte
WHERE IN_Position = 'R'
)
SELECT cteL.IN_ID, cteL.IN_InvoiceID, cteR.IN_ID, cteR.IN_InvoiceID
FROM cteL
LEFT JOIN cteR ON (cteL.IN_RowNumber = cteR.IN_RowNumber)
Output:
IN_ID IN_InvoiceID IN_ID IN_InvoiceID
2345-BCDE-6645-1DDF 1 2345-BCDE-6645-7DDF 6
2345-BCDE-6645-3DDF 2 2345-BCDE-6645-aDDF 7
2345-BCDE-6645-4DDF 3 2345-BCDE-6645-sDDF 8
2345-BCDE-6645-5DDF 4 2345-BCDE-6645-dDDF 9
2345-BCDE-6645-6DDF 5 2345-BCDE-6645-dDDF 10
2345-BCDE-6645-dDDF 11 NULL NULL
2345-BCDE-6645-dDDF 12 NULL NULL
I have the following table:
ID User Form Depth
1 A ABC 2001
1 A XYZ 1001
1 B XYZ 1003
1 B DEF 3001
1 C XYZ 1000
If ID and Form are identical, I need to identify those rows that are +-2 from User A. Using the example above, the script would return:
ID User Form Depth
1 B XYZ 1003
1 C XYZ 1000
I already have a script which identifies rows with identical ID and Form--I just need the other part, but I'm struggling with figuring out the logic. I was hoping there was some kind of DIFF function I could use, but I can't find one for SQL Anywhere.
Does anyone have any suggestions?
Thanks!
If you're looking for the depth to be exactly +/-2 from A's depth:
select t1.*
from mytab t1,
mytab t2
where t1.id = t2.id
and t1.form = t2.form
and t1.user != 'A'
and t2.user = 'A'
and abs(t1.depth - t2.depth) = 2
go
ID User Form Depth
--- ----- ----- -----
1 B XYZ 1003
If you're looking for the depth to be within 2 of A's depth (ie, diff <= 2):
select t1.*
from mytab t1,
mytab t2
where t1.id = t2.id
and t1.form = t2.form
and t1.user != 'A'
and t2.user = 'A'
and abs(t1.depth - t2.depth) <= 2
go
ID User Form Depth
--- ----- ----- -----
1 B XYZ 1003
1 C XYZ 1000
This is pretty basic SQL so while this fiddle was done with MySQL, you should find the queries work in SQLAnywhere, too: sql fiddle
I think you want exists:
select t.*
from t
where t.user <> 'A' and
exists (select 1
from t t2
where t2.form = t.form and t2.id = t.id and
t2.depth between t.depth - 2 and t.depth + 2
);
A quick and dirty generalized method.
Replace #User with whomever you would like to remove.
DECLARE #table TABLE (
ID Int
,[User] VARCHAR(2)
,Form VARCHAR(3)
,Depth INT
)
DECLARE #User VARCHAR(2) = 'A'
INSERT INTO #table (ID , [User], Form, Depth)
VALUES
(1 , 'A' , 'ABC' , 2001),
(1 , 'A' , 'XYZ' , 1001),
(1 , 'B' , 'XYZ' , 1003),
(1 , 'B' , 'DEF' , 3001),
(1 , 'C' , 'XYZ' , 1000)
SELECT t1.ID, t1.[User], t1.Form, t1.Depth , ROW_NUMBER() OVER(ORDER BY t1.ID, t1.[User], t1.Form, t1.Depth) AS [row_number]
INTO #temp
FROM #table as t1
INNER JOIN (
SELECT t.ID, t.Form, COUNT('8') as [count]
FROM #table as t
GROUP BY ID, Form
HAVING COUNT('8') > 1
) as duplicates
ON duplicates.ID = t1.ID
AND duplicates. Form = t1.Form
ORDER BY ID, User, Form, Depth
-- SELECT * FROM #temp
SELECT [row_number] - 2 as value
INTO #range
FROM #temp as t
WHERE t.[User] = #User
--SELECT * FROM #range
INSERT INTO #range
SELECT [row_number] - 1
FROM #temp as t
WHERE t.[User] = #User
INSERT INTO #range
SELECT [row_number] + 1
FROM #temp as t
WHERE t.[User] = #User
INSERT INTO #range
SELECT [row_number] + 2
FROM #temp as t
WHERE t.[User] = #User
SELECT * FROM #temp
WHERE [row_number] IN (SELECT value FROM #range)
DROP TABLE #temp
DROP TABLE #range
Example query
USE HES
SELECT T1.ID, T2.DATE, T1.ORDINAL
FROM TABLE1 AS T1
LEFT JOIN TABLE2 AS T2
ON T1.ID = T2.ID AND T1.PARTYEAR = T2.PARTYEAR
WHERE
T1.MONTHYEAR = '201501'
Results from example query
ID Date Ordinal
1 01/01/2016 1
1 02/01/2016 2
1 03/01/2016 3
2 04/01/2016 1
2 05/01/2016 2
3 06/01/2016 1
3 07/01/2016 2
3 08/01/2016 3
4 09/01/2016 1
4 10/01/2016 1
Question
Each user has a unique ID, for each ID how would I to check that each data submission contains an Ordinal that is greater than the one that was previously submitted.
So, in the example query results above, ID 4 contains an issue.
I'm fairly new to SQL, I've been searching for similar examples but with no success.
Any help would be greatly appreciated.
Use LAG with OVER clause:
WITH cte AS
(
SELECT T1.ID, T2.DATE, T1.ORDINAL, LAG(T1.ORDINAL) OVER(PARTITION BY T1.ID ORDER BY T1.ORDINAL) AS LagOrdinal
FROM TABLE1 AS T1
LEFT JOIN TABLE2 AS T2
ON T1.ID = T2.ID AND T1.PARTYEAR = T2.PARTYEAR
WHERE
T1.MONTHYEAR = '201501'
)
SELECT ID, DATE, ORDINAL, CASE WHEN ORDINAL > LagOrdinal THEN 1 ELSE 0 END AS OrdinalIsGreater
FROM cte;
Try this one:
SELECT * INTO #tmp
FROM (VALUES
(1, CONVERT(date, '01/01/2016'), 1),
(1, '02/01/2016', 2),
(1, '03/01/2016', 3),
(2, '04/01/2016', 1),
(2, '05/01/2016', 2),
(3, '06/01/2016', 1),
(3, '07/01/2016', 2),
(3, '08/01/2016', 3),
(4, '09/01/2016', 1),
(4, '10/01/2016', 1)
)T(ID, Date, Ordinal)
WITH Numbered AS
(
SELECT ROW_NUMBER() OVER (PARTITION BY ID ORDER BY Date) R, *
FROM #tmp
)
SELECT N2.ID, N2.Date, N1.Ordinal Prev, N2.Ordinal Curr
FROM Numbered N1
JOIN Numbered N2 ON N1.R+1=N2.R AND N1.ID=N2.ID
WHERE N1.Ordinal >= N2.Ordinal
It can be simplified when SQL Server version >= 2012, #tmp is your current result.
Like #Serg said, you can achieve this using lag
select *
from (
SELECT T1.ID, T2.DATE, T1.ORDINAL,
lag(t1.ordinal) over (partition by t1.id order by t2.date) as prevOrdinal
FROM TABLE1 AS T1
LEFT JOIN TABLE2 AS T2
ON T1.ID = T2.ID AND T1.PARTYEAR = T2.PARTYEAR
WHERE
T1.MONTHYEAR = '201501') as t
where t.prevOrdinal >= t.ordinal;
OUTPUT
ID DATE ORDINAL prevOrdinal
4 2016-10-01 1 1
I require a permutations and combinations of rows as per Id having SUM for dissimilar groups:
As a SQL QUERY
CREATE TABLE TestTable2([Id] [int] NULL, [Group] [varchar](50) NULL, [PeriodStart] [varchar](50) NULL) ON [PRIMARY]
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group1', 'date1a')<br/>
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group1', 'date1b')<br/>
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group1', 'date1c')<br/>
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group2', 'date2a')<br/>
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group2', 'date2b')<br/>
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group3', 'date3a')<br/>
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group3', 'date3b')<br/>
INSERT INTO TestTable2([Id], [Group], [PeriodStart]) VALUES (1, 'Group3', 'date3c')<br/>
Data in table:
**Id -- Group -- PeriodStart**<br/>
1 -- Group1 -- date1a<br/>
1 -- Group1 -- date1b<br/>
1 -- Group1 -- date1c<br/>
1 -- Group2 -- date2a<br/>
1 -- Group2 -- date2b<br/>
1 -- Group3 -- date3a<br/>
1 -- Group3 -- date3b<br/>
1 -- Group3 -- date3c<br/>
NOTE: There can be any number of Groups, PeriodStart is a DateTime
OutPut required as: should be 18 combinations from 3*2*3 distinct group rows (i.e here for Group1, Group2 and Group3) with their MAX DATE of PeriodStart:
**Id -- MaximumPeriodStartDate**<br/>
1 -- MAX OF (date1a, date2a, date3a)<br/>
1 -- MAX OF (date1a, date2b, date3a)<br/>
1 -- MAX OF (date1a, date2a, date3b)<br/>
1 -- MAX OF (date1a, date2b, date3b)<br/>
1 -- MAX OF (date1a, date2a, date3c)<br/>
1 -- MAX OF (date1a, date2b, date3c)<br/>
1 -- MAX OF (date1b, date2a, date3a)<br/>
1 -- MAX OF (date1b, date2b, date3a)<br/>
1 -- MAX OF (date1b, date2a, date3b)<br/>
1 -- MAX OF (date1b, date2b, date3b)<br/>
1 -- MAX OF (date1b, date2a, date3c)<br/>
1 -- MAX OF (date1b, date2b, date3c)<br/>
1 -- MAX OF (date1c, date2a, date3a)<br/>
1 -- MAX OF (date1c, date2b, date3a)<br/>
1 -- MAX OF (date1c, date2a, date3b)<br/>
1 -- MAX OF (date1c, date2b, date3b)<br/>
1 -- MAX OF (date1c, date2a, date3c)<br/>
1 -- MAX OF (date1c, date2b, date3c)<br/>
See this SQL Fiddle.
SELECT SQ1.[ID]
,SQ1.[VALUE]+'+'+SQ2.[VALUE]+'+'+SQ3.[VALUE] AS COMBOS
FROM
(
SELECT [id],[VALUE]
FROM TESTTABLE2
WHERE [GROUP] = 1
) SQ1
INNER JOIN
(
SELECT [id],[VALUE]
FROM TESTTABLE2
WHERE [GROUP] = 2
) SQ2
ON SQ1.[ID]= SQ2.[ID]
INNER JOIN
(
SELECT [id],[VALUE]
FROM TESTTABLE2
WHERE [GROUP] = 3
) SQ3
ON SQ1.[ID]= SQ3.[ID]
I renamed your variables to things that are not reserved key words in most databases:
select t1.id, t2.id, t3.id, t1.ValStr+'+'+t2.ValStr+'+'+t3.ValStr
from #TestTable2 t1 join
#TestTable2 t2
on t1.TheGroup < t2.TheGroup join
#TestTable2 t3
on t2.TheGroup < t3.TheGroup
I'm using SQL Server syntax for the string concatenation, because it looks like you are using that database.
I cannot readily think of a way to handling any number of groups in a SQL-only query. However, you can handle an "up-to" number of groups with something like:
select t1.id, t2.id, t3.id,
stuff((coalesce('+'+t1.ValStr), '')+coalesce('+'+t2.ValStr, '') +
coalesce('+'+t3.ValStr, '')+ . . .
), 1, 1, '')
from #TestTable2 t1 left outer join
#TestTable2 t2
on t1.TheGroup < t2.TheGroup left outer join
#TestTable2 t3
on t2.TheGroup < t3.TheGroup . .
You would continue the left outer joins up to some maximum number of groups and fix the select clause accordingly.
The results are a bit different from what you want. This produces all combinations of up to n groups, rather than exactly n groups. So the first would produce: (3 + 2 + 3) [combinations of 1] + (3 * 2 + 2 * 3 + 3 * 3) [combinations of 2] + (3 * 2 * 3). You can fix this by using this rather cumbersome where clause:
where ((case when t1.thegroup is not null then 1 else 0 end)+
(case when t2.thegroup is not null then 1 else 0 end)+
(case when t3.thegroup is not null then 1 else 0 end)+
. . .
) = (select count(distinct thegroup) from #TestTable2)
If your groups are numbered sequentially with no gaps, you can also write this as:
select t1.id, t2.id, t3.id,
stuff((coalesce('+'+t1.ValStr), '')+coalesce('+'+t2.ValStr, '') +
coalesce('+'+t3.ValStr, '')+ . . .
), 1, 1, '')
from #TestTable2 t1 left outer join
#TestTable2 t2
on t2.TheGroup = t1.TheGroup+1 left outer join
#TestTable2 t3
on t3.TheGroup = t2.TheGroup+1 . . .
where t1.TheGroup = 1
Actually, even if your groups are not numbered sequentially, you could arrange for this using dense_rank() and proceed from there:
with t as (
select t.*, dense_rank() over (order by [Group]) as TheGroup
from #TestTable2
)
select t1.id, t2.id, t3.id,
stuff((coalesce('+'+t1.ValStr), '')+coalesce('+'+t2.ValStr, '') +
coalesce('+'+t3.ValStr, '')+ . . .
), 1, 1, '')
from t t1 left outer join
t t2
on t2.TheGroup = t1.TheGroup+1 left outer join
t t3
on t3.TheGroup = t2.TheGroup+1 . . .
where t1.TheGroup = 1
The other approach is to use recursive CTEs. Without that, this is probably the best SQL-only approach.