TSQL Pivot without aggregate function
You can use the MAX aggregate, it would still work. MAX of one value = that value..
In this case, you could also self join 5 times on customerid, filter by dbColumnName per table reference. It may work out better.
Pivot rows to columns without aggregate
The PIVOT function requires an aggregation to get it to work. It appears that your VAL column is a varchar so you will have to use either the MAX or MIN aggregate functions.
If the number of tests is limited, then you can hard-code the values:
select sbno, Test1, Test2, Test3
from
(
select test_name, sbno, val
from yourtable
) d
pivot
(
max(val)
for test_name in (Test1, Test2, Test3)
) piv;
See SQL Fiddle with Demo.
In your OP, you stated that you will have an larger number of rows to turn into columns. If that is the case, then you can use dynamic SQL:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT distinct ',' + QUOTENAME(TEST_NAME)
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT sbno,' + @cols + '
from
(
select test_name, sbno, val
from yourtable
) x
pivot
(
max(val)
for test_name in (' + @cols + ')
) p '
execute(@query)
See SQL Fiddle with Demo.
Both versions will give the same result:
| SBNO | TEST1 | TEST2 | TEST3 |
---------------------------------
| 1 | 0.304 | 2.3 | PASS |
| 2 | 0.31 | 2.5 | PASS |
| 3 | 0.306 | 2.4 | (null) |
Dynamic TSQL Pivot without aggregate function
Sample data
create table ExternalPersonRelationTable
(
PersonId int,
SubjectCode int
);
insert into ExternalPersonRelationTable (PersonId, SubjectCode) values
(4187, 3),
(4187, 278),
(4429, 3),
(4429, 4),
(4463, 99),
(4464, 174),
(4464, 175);
Solution
Start with a (limited) static version of the pivot query as a reference.
select piv.SubjectCode as Code,
isnull(convert(bit, piv.[4187]), 0) as [4187],
isnull(convert(bit, piv.[4429]), 0) as [4429],
isnull(convert(bit, piv.[4463]), 0) as [4463],
isnull(convert(bit, piv.[4464]), 0) as [4464]
from ExternalPersonRelationTable epr
pivot (max(epr.PersonId) for epr.PersonId in ([4187],[4429],[4463],[4464])) piv;
Identify the dynamic parts and construct (and validate) those.
-- constuct lists
declare @fieldList nvarchar(1000);
declare @pivotList nvarchar(1000);
with cte as
(
select epr.PersonId
from ExternalPersonRelationTable epr
group by epr.PersonId
)
select @fieldList = string_agg('isnull(convert(bit, piv.['
+ convert(nvarchar(10), cte.PersonId)
+ ']), 0) as ['
+ convert(nvarchar(10), cte.PersonId)
+ ']', ', ') within group (order by cte.PersonId),
@pivotList = string_agg('['
+ convert(nvarchar(10), cte.PersonId)
+ ']', ',') within group (order by cte.PersonId)
from cte;
-- validate lists
select @fieldList as FieldList;
select @pivotList as PivotList;
Merge the dynamic parts in the final query (and validate during development phase).
-- construct query
declare @query nvarchar(3000) = 'select piv.SubjectCode as Code, '
+ @fieldList
+ 'from ExternalPersonRelationTable epr '
+ 'pivot (max(epr.PersonId) for epr.PersonId in ('
+ @pivotList
+ ')) piv;';
-- validate query
select @query as Query;
Run the dynamic query.
-- run query
exec sp_executesql @query;
Result
Code 4187 4429 4463 4464
---- ----- ----- ----- -----
3 True True False False
4 False True False False
99 False False True False
174 False False False True
175 False False False True
278 True False False False
Fiddle to see things in action.
How to pivot multiple columns without aggregation
Use row_number() function and do the conditional aggregation :
select id, IdCust, Ref,
max(case when Seq = 1 then stock end) as [Stock A], -- second table *id*
max(case when Seq = 1 then code end) as [Code 1],
max(case when Seq = 1 then price end) as [Price1],
max(case when Seq = 2 then stock end) as [Stock B], -- second table *id*
max(case when Seq = 2 then code end) as [Code 2],
max(case when Seq = 2 then price end) as [Price2]
from (select f.*, s.Id Stock, s.Code, s.Price,
row_number() over (partition by f.Ref order by s.id) as Seq
from first f
inner join second s on s.Ref = f.Ref
) t
group by id, IdCust, Ref;
However, this would go with known values else you would need go with dynamic solution for that.
SQL Server 2012 PIVOT without aggregate
There are several ways that you can transform the data. Some use an aggregate function and others don't. But even though you are pivoting a string you can still apply an aggregate.
Aggregate with CASE:
select name,
max(case when category = 'A' then 'X' else '' end) CategoryA,
max(case when category = 'B' then 'X' else '' end) CategoryB,
max(case when category = 'C' then 'X' else '' end) CategoryC,
max(case when category = 'D' then 'X' else '' end) CategoryD
from yourtable
group by name
See SQL Fiddle with Demo
Static Pivot:
You can still use the PIVOT function to transform the data even though the values are strings. If you have a known number of categories, then you can hard-code the query:
select name,
coalesce(A, '') CategoryA,
coalesce(B, '') CategoryB,
coalesce(C, '') CategoryC,
coalesce(C, '') CategoryD
from
(
select name, category, 'X' flag
from yourtable
) d
pivot
(
max(flag)
for category in (A, B, C, D)
) piv
See SQL Fiddle with Demo.
Dynamic Pivot:
If you have an unknown number of categories, then you can use dynamic SQL:
DECLARE @cols AS NVARCHAR(MAX),
@colsNull AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT ',' + QUOTENAME(category)
from yourtable
group by category
order by category
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select @colsNull = STUFF((SELECT ', coalesce(' + QUOTENAME(category)+', '''') as '+QUOTENAME('Category'+category)
from yourtable
group by category
order by category
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT name, ' + @colsNull + '
from
(
select name, category, ''X'' flag
from yourtable
) x
pivot
(
max(flag)
for category in (' + @cols + ')
) p '
execute(@query)
See SQL Fiddle with Demo.
Multiple Joins:
select c1.name,
case when c1.category is not null then 'X' else '' end as CategoryA,
case when c2.category is not null then 'X' else '' end as CategoryB,
case when c3.category is not null then 'X' else '' end as CategoryC,
case when c4.category is not null then 'X' else '' end as CategoryD
from yourtable c1
left join yourtable c2
on c1.name = c2.name
and c2.category = 'B'
left join yourtable c3
on c1.name = c3.name
and c3.category = 'C'
left join yourtable c4
on c1.name = c4.name
and c4.category = 'D'
where c1.category = 'A'
See SQL Fiddle with Demo
All queries will give the result:
| NAME | CATEGORYA | CATEGORYB | CATEGORYC | CATEGORYD |
--------------------------------------------------------
| Joe | X | X | | X |
| Mary | X | | X | X |
Pivot without aggregate function
The following should do what you had in mind:
SELECT DLSEQUENCE,
ORGANIZATION,
CLIENT_LAST_NAME,
CLIENT_FIRST_NAME,
SCHED_TIME,
LISTAGG("Restraint?", ',') WITHIN GROUP (ORDER BY DLSEQUENCE) AS "Restraint?",
LISTAGG("Findings", ',') WITHIN GROUP (ORDER BY DLSEQUENCE) AS "Findings",
LISTAGG("History", ',') WITHIN GROUP (ORDER BY DLSEQUENCE) AS "History",
LISTAGG("Treatment", ',') WITHIN GROUP (ORDER BY DLSEQUENCE) AS "Treatment"
FROM (SELECT DLSEQUENCE,
ORGANIZATION,
CLIENT_LAST_NAME,
CLIENT_FIRST_NAME,
SCHED_TIME,
CASE
WHEN FIELD_NAME = 'Restraint?' THEN RESPONSES
ELSE NULL
END AS "Restraint?",
CASE
WHEN FIELD_NAME = 'Findings' THEN RESPONSES
ELSE NULL
END AS "Findings",
CASE
WHEN FIELD_NAME = 'History' THEN RESPONSES
ELSE NULL
END AS "History",
CASE
WHEN FIELD_NAME = 'Treatment' THEN RESPONSES
ELSE NULL
END AS "Treatment"
FROM YOUR_TABLE)
GROUP BY DLSEQUENCE,
ORGANIZATION,
CLIENT_LAST_NAME,
CLIENT_FIRST_NAME,
SCHED_TIME
db<>fiddle here
Postgresql pivot row data without aggregate function
What you need as another aggregation, namely STRING_AGG() along with FILTER clause such as
SELECT id,
MAX(text_data) AS "Name",
STRING_AGG ( int_data::TEXT, ',' ORDER BY key ) FILTER (WHERE type_name='Math') AS "Math",
STRING_AGG ( int_data::TEXT, ',' ORDER BY key ) FILTER (WHERE type_name='English') AS "English",
STRING_AGG ( int_data::TEXT, ',' ORDER BY key ) FILTER (WHERE type_name='Social') AS "Social",
STRING_AGG ( int_data::TEXT, ',' ORDER BY key ) FILTER (WHERE type_name='Science') AS "Science"
FROM stud
GROUP BY id
Demo
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