following problem
I am using the command to join Names with project numbers
SELECT DDR_namen.vorname_nachname, DDR_Erfinder_final.pubnr
FROM DDR_namen
RIGHT JOIN DDR_Erfinder_final
ON DDR_namen.vorname_nachname=DDR_Erfinder_final.vorname_nachname
which gives me someting like this (small example)
vorname_nachname Pubnr (ID)
A. Heinrich 100
B. Müller 100
B. Müller 101
B. Müller 105
C. Krüger 120
C. Krüger 100
Now I want to reshape the data, so that the rows are unique and the ID are combined into a new collumn. Like this.
vorname_nachname Pubnr (ID)
A. Heinrich 100
B. Müller 100;101;105
C. Krüger 120;100
Anybody and ideas?
Try grouping like
select vorname_nachname,
(
SELECT STUFF((SELECT ';' + CAST(Pubnr AS VARCHAR(MAX))
FROM TestTable
WHERE vorname_nachname = t1.vorname_nachname
FOR XML PATH('') ), 1, 1, '')
) AS Pubnr
from TestTable t1
group by vorname_nachname
SQL Fiddle Demo : http://sqlfiddle.com/#!3/d0916/1
UPDATE : For JOIN you can use CTE like below :
;WITH CTE AS
(
SELECT DDR_namen.vorname_nachname, DDR_Erfinder_final.pubnr
FROM DDR_namen
RIGHT JOIN DDR_Erfinder_final
ON DDR_namen.vorname_nachname=DDR_Erfinder_final.vorname_nachname
)
select vorname_nachname,
(
SELECT STUFF((SELECT ';' + CAST(Pubnr AS VARCHAR(MAX))
FROM CTE
WHERE vorname_nachname = t1.vorname_nachname
FOR XML PATH('') ), 1, 1, '')
) AS Pubnr
from CTE t1
group by vorname_nachname
Related
I have a table that save personnel code.
When I select from this table I get 3 rows result such as:
2129,3394,3508,3534
2129,3508
4056
I want when create select result combine in one row such as:
2129,3394,3508,3534,2129,3508,4056
or distinct value such as:
2129,3394,3508,3534,4056
You should ideally avoid storing CSV data at all in your tables. That being said, for your first result set we can try using STRING_AGG:
SELECT STRING_AGG(col, ',') AS output
FROM yourTable;
Your second requirement is more tricky, and we can try going through a table to remove duplicates:
WITH cte AS (
SELECT DISTINCT VALUE AS col
FROM yourTable t
CROSS APPLY STRING_SPLIT(t.col, ',')
)
SELECT STRING_AGG(col, ',') WITHIN GROUP (ORDER BY CAST(col AS INT)) AS output
FROM cte;
Demo
I solved this by using STUFF and FOR XML PATH:
SELECT
STUFF((SELECT ',' + US.remain_uncompleted
FROM Table_request US
WHERE exclusive = 0 AND reqact = 1 AND reqend = 0
FOR XML PATH('')), 1, 1, '')
Thank you Tim
I need a TSQL version of group_concat
Simmilar to the example found here:
Policy Destination ID
-------------------------
PolA DestA 1
PolA DestA 2
PolB DestB 3
PolB DestB 4
PolC DestC 5
PolC DestC 6
PolC DestD 7
The output should look like this:
PolA DestA 1,2
PolB DestB 3,4
PolC DestC 5,6
PolC DestD 7
The grouping is on the uniqueness of both the first 2 columns, and then a concatenated output on the third.
I found this link but it only take into account 2 columns
Any help would be appreciated.
You can try this :
SELECT G.Policy, G.Destination,
stuff(
(select cast(',' as varchar(max)) + U.ID
from yourtable U
WHERE U.Policy = G.Policy and U.Destination = G.Destination
order by U.Policy
for xml path('')
), 1, 1, '') AS IDs
FROM yourtable G group BY G.Policy, G.Destination
In MSSQL Synax:
SELECT Policy, Destination, STRING_AGG ( [ID], ',' ) IDs
FROM Table
I just create the PolA example table for you, just replace the CTE as your table, try below:
WITH ABC
as
(
select 'PolA' as Policy,'DestA' as Destination,'1' as ID
UNION ALL
select 'PolA','DestA','2'
)
SELECT Policy, Destination,
STUFF((SELECT ',' + A.ID FROM ABC as A WHERE A.Policy = B.Policy FOR XML PATH('')),1,1,'') as ID
FROM ABC as B
GROUP BY B.policy, B.Destination
I have a table
Name | Period | Value1 | Value2
-----+---------+---------+-------
A 1 2 3
A 2 5 4
A 3 6 7
B 1 2 3
B 2 5 4
B 3 6 7
I need results like
Name | Value1 | Value2
-----+--------+------
A | 2,5,6 | 3,4,7
B | 2,5,6 | 3,4,7
Number of periods is dynamic but I know how to handle it so, for simplicity, let's say there are 3 periods
The query below gives me results for Value1. How can I get results for both?
I can always do them separately and then do a join but the table is really big and I need "combine" four values, not two. Can I do it in one statement?
SELECT Name,
[1]+','+ [2] + ','+ [3] ValueString
FROM (
select Name, period, cpr from #MyTable
) as s
PIVOT(SUM(Value1)
FOR period IN ([1],[2],[3])
Use conditional aggregation. Combining the values into strings is a bit tricky, requiring XML logic in SQL Server:
select n.name,
stuff((select ',' + cast(value1 as varchar(max))
from t
where n.name = t.name
order by t.period
for xml path ('')
), 1, 1, ''
) as values1,
stuff((select ',' + cast(value2 as varchar(max))
from t
where n.name = t.name
order by t.period
for xml path ('')
), 1, 1, ''
) as values2
from (select distinct name
from t
) n;
Your values look like numbers, hence the explicit cast and the lack of concern for XML special characters.
You may ask why this does the distinct in a subquery rather than in the outer query. If done in the outer query, then the SQL engine will probably do the aggregation for every row before doing the distinct. I'm not sure if the optimizer is good enough run the subqueries only once per name.
Using Group By with stuff function and get expected result
SELECT Name , STUFF((SELECT ',' + CAST(Value1 AS VARCHAR) FROM #MyTable T2 WHERE T1.Name = T2.Name FOR XML PATH('')),1,1,'') Value1
, STUFF((SELECT ',' + CAST(Value2 AS VARCHAR) FROM #MyTable T3 WHERE T1.Name = T3.Name FOR XML PATH('')),1,1,'') Value2 FROM #MyTable T1 GROUP BY Name
I have first table (the count of rows are varibale) and I want to create the second table. what is the efficient way?
First you have to bring your data to a more 'friendly' format:
;with
data as
(
-- replace this with your select
select * from
(
VALUES ('1', 'a', 'b'),
('2', 'c', 'd'),
('3', 'e', 'f')
) as data(aa,bb,cc)
--------------------------------
),
dataAsXml as
(
select CAST(STUFF((SELECT '<i>' + d.[aa] + '</i><i>' + d.[bb] + '</i><i>' + d.[cc] + '</i>' FROM data d FOR XML PATH(''), TYPE ).value('.', 'NVARCHAR(MAX)'),1,0,'') as XML) as data
),
dataAsList as
(
select x.i.value('for $i in . return count(../*[. << $i]) + 1', 'int') as 'Ord',
x.i.value('.', 'NVARCHAR(100)') AS 'Value'
from dataAsXml
CROSS APPLY [data].nodes('//i') x(i)
),
normalized AS
(
select
case (Ord - 1) % 3 + 1
when 1 then 'aa'
when 2 then 'bb'
when 3 then 'cc'
end + cast((Ord - 1) / 3 + 1 as varchar(10)) as columnName, --fix here
value
from dataAsList
)
select * from normalized
In the query above you can plug in your data in data CTE to see the result.
The output will have two columns one that stores your column names and one with values.
SQL Fiddle
From here you have to use a dynamic query where you pivot the obtained table for columnName in the list of all the column names. I won't describe this process because it has been done many times. Take a look at this answer:
Convert Rows to columns using 'Pivot' in SQL Server
Note:
I didn't tested the performance of this method with large sets of data but
from some points of view it's efficient.
Try this one. I pivoted each of the columns then join them together in one row.
SELECT aa1,bb1,cc1,aa2,bb2,cc2,aa3,bb3,cc3 FROM
(SELECT 1 id,[2]aa1,[3]aa2,[4]aa3 FROM(SELECT aa FROM tablea) AS A
PIVOT(SUM(aa) FOR aa in([2],[3],[4])) AS pvt) A
INNER JOIN
(SELECT 1 id,[400]bb1,[200]bb2,[500]bb3 FROM(SELECT bb FROM tablea) AS A
PIVOT(SUM(bb) FOR bb in([400],[200],[500])) AS pvt) B ON A.id=B.id
INNER JOIN
(SELECT 1 id,[20]cc1,[25]cc2,[20]cc3 FROM(SELECT cc FROM tablea) AS A
PIVOT(MIN(cc) FOR cc in([20],[25])) AS pvt) C ON B.id=C.id
I need to identify duplicate sets of data and give those sets who's data is similar a group id.
id threshold cost
-- ---------- ----------
1 0 9
1 100 7
1 500 6
2 0 9
2 100 7
2 500 6
I have thousands of these sets, most are the same with different id's. I need find all the like sets that have the same thresholds and cost amounts and give them a group id. I'm just not sure where to begin. Is the best way to iterate and insert each set into a table and then each iterate through each set in the table to find what already exists?
This is one of those cases where you can try to do something with relational operators. Or, you can just say: "let's put all the information in a string and use that as the group id". SQL Server seems to discourage this approach, but it is possible. So, let's characterize the groups using:
select d.id,
(select cast(threshold as varchar(8000)) + '-' + cast(cost as varchar(8000)) + ';'
from data d2
where d2.id = d.id
for xml path ('')
order by threshold
) as groupname
from data d
group by d.id;
Oh, I think that solves your problem. The groupname can serve as the group id. If you want a numeric id (which is probably a good idea, use dense_rank():
select d.id, dense_rank() over (order by groupname) as groupid
from (select d.id,
(select cast(threshold as varchar(8000)) + '-' + cast(cost as varchar(8000)) + ';'
from data d2
where d2.id = d.id
for xml path ('')
order by threshold
) as groupname
from data d
group by d.id
) d;
Here's the solution to my interpretation of the question:
IF OBJECT_ID('tempdb..#tempGrouping') IS NOT NULL DROP Table #tempGrouping;
;
WITH BaseTable AS
(
SELECT 1 id, 0 as threshold, 9 as cost
UNION SELECT 1, 100, 7
UNION SELECT 1, 500, 6
UNION SELECT 2, 0, 9
UNION SELECT 2, 100, 7
UNION SELECT 2, 500, 6
UNION SELECT 3, 1, 9
UNION SELECT 3, 100, 7
UNION SELECT 3, 500, 6
)
, BaseCTE AS
(
SELECT
id
--,dense_rank() over (order by threshold, cost ) as GroupId
,
(
SELECT CAST(TblGrouping.threshold AS varchar(8000)) + '/' + CAST(TblGrouping.cost AS varchar(8000)) + ';'
FROM BaseTable AS TblGrouping
WHERE TblGrouping.id = BaseTable.id
ORDER BY TblGrouping.threshold, TblGrouping.cost
FOR XML PATH ('')
) AS MultiGroup
FROM BaseTable
GROUP BY id
)
,
CTE AS
(
SELECT
*
,DENSE_RANK() OVER (ORDER BY MultiGroup) AS GroupId
FROM BaseCTE
)
SELECT *
INTO #tempGrouping
FROM CTE
-- SELECT * FROM #tempGrouping;
UPDATE BaseTable
SET BaseTable.GroupId = #tempGrouping.GroupId
FROM BaseTable
INNER JOIN #tempGrouping
ON BaseTable.Id = #tempGrouping.Id
IF OBJECT_ID('tempdb..#tempGrouping') IS NOT NULL DROP Table #tempGrouping;
Where BaseTable is your table, and and you don't need the CTE "BaseTable", because you have a data table.
You may need to take extra-precautions if your threshold and cost fields can be NULL.