Suppose the following easy scenario, where a product row gets connected to one primary category, subcategory, and sub-subcategory.
DECLARE #PRODUCTS TABLE (ID int, DESCRIPTION varchar(50), CAT varchar(30), SUBCAT varchar(30), SUBSUBCAT varchar(30));
INSERT #PRODUCTS (ID, DESCRIPTION, CAT, SUBCAT, SUBSUBCAT) VALUES
(1, 'NIKE MILLENIUM', '1', '10', '100'),
(2, 'NIKE CORTEZ', '1', '12', '104'),
(3, 'ADIDAS PANTS', '2', '27', '238'),
(4, 'PUMA REVOLUTION 5', '3', '35', '374'),
(5, 'SALOMON SHELTER CS', '4', '15', '135'),
(6, 'NIKE EBERNON LOW', '2', '14', '157');
DECLARE #CATS TABLE (ID int, DESCR varchar(100));
INSERT #CATS (ID, DESCR) VALUES
(1, 'MEN'),
(2, 'WOMEN'),
(3, 'UNISEX'),
(4, 'KIDS'),
(5, 'TEENS'),
(6, 'BACK TO SCHOOL');
DECLARE #SUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBCATS (ID, DESCR) VALUES
(10, 'FOOTWEAR'),
(12, 'OUTERWEAR'),
(14, 'SWIMWEAR'),
(15, 'HOODIES'),
(27, 'CLOTHING'),
(35, 'SPORTS');
DECLARE #SUBSUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBSUBCATS (ID, DESCR) VALUES
(100, 'RUNNING'),
(104, 'ZIP TOPS'),
(135, 'FLEECE'),
(157, 'BIKINIS'),
(238, 'PANTS'),
(374, 'JOGGERS');
SELECT prod.ID,
prod.DESCRIPTION,
CONCAT(cat1.DESCR, ' > ', cat2.DESCR, ' > ', cat3.DESCR) AS CATEGORIES
FROM #PRODUCTS AS prod
LEFT JOIN #CATS AS cat1 ON cat1.ID = prod.CAT
LEFT JOIN #SUBCATS AS cat2 ON cat2.ID = prod.SUBCAT
LEFT JOIN #SUBSUBCATS AS cat3 ON cat3.ID = prod.SUBSUBCAT;
Now suppose that the foreign keys on #PRODUCTS table aren't just indices to their respective tables. They are comma-separated indices to more than one categories, subcategories, and sub-subcategories like here.
DECLARE #PRODUCTS TABLE (ID int, DESCRIPTION varchar(50), CAT varchar(30), SUBCAT varchar(30), SUBSUBCAT varchar(30));
INSERT #PRODUCTS (ID, DESCRIPTION, CAT, SUBCAT, SUBSUBCAT) VALUES
(1, 'NIKE MILLENIUM', '1, 2', '10, 12', '100, 135'),
(2, 'NIKE CORTEZ', '1, 5', '12, 15', '104, 374'),
(3, 'ADIDAS PANTS', '2, 6', '27, 35', '238, 374');
DECLARE #CATS TABLE (ID int, DESCR varchar(100));
INSERT #CATS (ID, DESCR) VALUES
(1, 'MEN'),
(2, 'WOMEN'),
(3, 'UNISEX'),
(4, 'KIDS'),
(5, 'TEENS'),
(6, 'BACK TO SCHOOL');
DECLARE #SUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBCATS (ID, DESCR) VALUES
(10, 'FOOTWEAR'),
(12, 'OUTERWEAR'),
(14, 'SWIMWEAR'),
(15, 'HOODIES'),
(27, 'CLOTHING'),
(35, 'SPORTS');
DECLARE #SUBSUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBSUBCATS (ID, DESCR) VALUES
(100, 'RUNNING'),
(104, 'ZIP TOPS'),
(135, 'FLEECE'),
(157, 'BIKINIS'),
(238, 'PANTS'),
(374, 'JOGGERS');
SELECT prod.ID,
prod.DESCRIPTION
--CONCAT(cat1.DESCR, ' > ', cat2.DESCR, ' > ', cat3.DESCR) AS CATEGORIES
FROM #PRODUCTS AS prod
--LEFT JOIN #CATS AS cat1 ON cat1.ID = prod.CAT
--LEFT JOIN #SUBCATS AS cat2 ON cat2.ID = prod.SUBCAT
--LEFT JOIN #SUBSUBCATS AS cat3 ON cat3.ID = prod.SUBSUBCAT;
In this case I want to achieve the following:
Be able to retrieve the respective names of the cats, subcats, sub-subcats, ie. for cats '1, 2' be able to retrieve their names (I tried LEFT JOIN #CATS AS cat1 ON cat1.ID IN prod.CAT but it doesn't work)
Create triplets of the corresponding cats, subcats, sub-subcats, ie. for
cats '1, 2'
subcats '12, 17'
sub-subcats '239, 372'
(after retrieving the appropriate names) create pipe-separated category routes like name of cat 1 > name of subcat 12 > name of sub-subcat 239 | name of cat 2 > name of subcat 17 > name of sub-subcat 372
So, for a row like (1, 'NIKE MILLENIUM', '1, 2', '10, 12', '100, 135'),
I would like to get the following result
ID
DESCRIPTION
CATEGORIES
1
NIKE MILLENIUM
MEN > FOOTWEAR > RUNNING # WOMEN > OUTERWEAR > FLEECE (I had to use # as the delimiter of the two triplets because pipe messed with the table's columns)
In case the user stupidly stores more cat IDs than subcat IDs, or sub-subcat IDs, the query should just match the ones that have a corresponding position match, ie for
cats '1, 2'
subcats '12'
sub-subcats '239, 372'
it should just create one triplet, like name of 1 > name of 12 > name of 239
STRING_SPLIT() does not promise to return the values in a specific order, so it won't work in this case as ordinal position matters.
Use OPENJSON() split the string into separate rows to ensure the values are returned in the same order.
OPENJSON() also returns a key field, so you can join on the row number within each grouping. You'll want an INNER JOIN since your requirement is that all values in that "column" must exist.
Use STUFF() to assemble the various cat>subcat>subsubcat values.
DECLARE #PRODUCTS TABLE (ID int, DESCRIPTION varchar(50), CAT varchar(30), SUBCAT varchar(30), SUBSUBCAT varchar(30));
INSERT #PRODUCTS (ID, DESCRIPTION, CAT, SUBCAT, SUBSUBCAT) VALUES
(1, 'NIKE MILLENIUM', '1, 2', '10, 12', '100, 135'),
(2, 'NIKE CORTEZ', '1, 5', '12, 15', '104, 374'),
(3, 'ADIDAS PANTS', '2, 6, 1', '27, 35, 10', '238, 374, 100'),
(4, 'JOE THE PLUMBER JEANS', '1, 5', '27', '238, 374');
DECLARE #CATS TABLE (ID int, DESCR varchar(100));
INSERT #CATS (ID, DESCR) VALUES
(1, 'MEN'),
(2, 'WOMEN'),
(3, 'UNISEX'),
(4, 'KIDS'),
(5, 'TEENS'),
(6, 'BACK TO SCHOOL');
DECLARE #SUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBCATS (ID, DESCR) VALUES
(10, 'FOOTWEAR'),
(12, 'OUTERWEAR'),
(14, 'SWIMWEAR'),
(15, 'HOODIES'),
(27, 'CLOTHING'),
(35, 'SPORTS');
DECLARE #SUBSUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBSUBCATS (ID, DESCR) VALUES
(100, 'RUNNING'),
(104, 'ZIP TOPS'),
(135, 'FLEECE'),
(157, 'BIKINIS'),
(238, 'PANTS'),
(374, 'JOGGERS');
;
with prod as (
SELECT p.ID,
p.DESCRIPTION
--CONCAT(cat1.DESCR, ' > ', cat2.DESCR, ' > ', cat3.DESCR) AS CATEGORIES
, c.value as CatId
, c.[key] as CatKey
, sc.value as SubCatId
, sc.[key] as SubCatKey
, ssc.value as SubSubCatId
, ssc.[key] as SubSubCatKey
FROM #PRODUCTS p
cross apply OPENJSON(CONCAT('["', REPLACE(cat, ', ', '","'), '"]')) c
cross apply OPENJSON(CONCAT('["', REPLACE(subcat, ', ', '","'), '"]')) sc
cross apply OPENJSON(CONCAT('["', REPLACE(subsubcat, ', ', '","'), '"]')) ssc
where c.[key] = sc.[key]
and c.[key] = ssc.[key]
)
, a as (
select p.ID
, p.DESCRIPTION
, c.DESCR + ' > ' + sc.DESCR + ' > ' + ssc.DESCR as CATEGORIES
, p.CatKey
from prod p
inner join #CATS c on c.ID = p.CatId
inner join #SUBCATS sc on sc.ID = p.SubCatId
inner join #SUBSUBCATS ssc on ssc.ID = p.SubSubCatId
)
select DISTINCT ID
, DESCRIPTION
, replace(STUFF((SELECT distinct ' | ' + a2.CATEGORIES
from a a2
where a.ID = a2.ID
FOR XML PATH(''))
,1,2,''), '>', '>') CATEGORIES
from a
Totally separate answer because of the change to older technology. I think my original answer is still good for folks using current SQL Server versions, so I don't want to remove it.
I don't remember where I got the function. When I found it today it was named split_delimiter. I changed the name, added some comments, and incorporated the ability to have a delimiter that is more than one character long.
CREATE FUNCTION [dbo].[udf_split_string](#delimited_string VARCHAR(8000), #delimiter varchar(10))
RETURNS TABLE AS
RETURN
WITH cte10(num) AS ( -- 10 rows
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
)
, cte100(num) AS ( -- 100 rows
SELECT 1
FROM cte10 t1, cte10 t2
)
, cte10000(num) AS ( -- 10000 rows
SELECT 1
FROM cte100 t1, cte100 t2
)
, cte1(num) AS ( -- 1 row per character
SELECT TOP (ISNULL(DATALENGTH(#delimited_string), 0)) ROW_NUMBER() OVER (ORDER BY (SELECT NULL))
FROM cte10000
)
, cte2(num) AS ( -- locations of strings
SELECT 1
UNION ALL
SELECT t.num + len(replace(#delimiter, ' ', '_'))
FROM cte1 t
WHERE SUBSTRING(#delimited_string, t.num, len(replace(#delimiter, ' ', '_'))) = #delimiter
)
, cte3(num, [len]) AS (
SELECT t.num
, ISNULL(NULLIF(CHARINDEX(#delimiter, #delimited_string, t.num), 0) - t.num, 8000)
FROM cte2 t
)
SELECT [Key] = ROW_NUMBER() OVER (ORDER BY t.num)
, [Value] = SUBSTRING(#delimited_string, t.num, t.[len])
FROM cte3 t;
GO
DECLARE #PRODUCTS TABLE (ID int, DESCRIPTION varchar(50), CAT varchar(30), SUBCAT varchar(30), SUBSUBCAT varchar(30));
INSERT #PRODUCTS (ID, DESCRIPTION, CAT, SUBCAT, SUBSUBCAT) VALUES
(1, 'NIKE MILLENIUM', '1, 2', '10, 12', '100, 135'),
(2, 'NIKE CORTEZ', '1, 5', '12, 15', '104, 374'),
(3, 'ADIDAS PANTS', '2, 6, 1', '27, 35, 10', '238, 374, 100'),
(4, 'JOE THE PLUMBER JEANS', '1, 5', '27', '238, 374');
DECLARE #CATS TABLE (ID int, DESCR varchar(100));
INSERT #CATS (ID, DESCR) VALUES
(1, 'MEN'),
(2, 'WOMEN'),
(3, 'UNISEX'),
(4, 'KIDS'),
(5, 'TEENS'),
(6, 'BACK TO SCHOOL');
DECLARE #SUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBCATS (ID, DESCR) VALUES
(10, 'FOOTWEAR'),
(12, 'OUTERWEAR'),
(14, 'SWIMWEAR'),
(15, 'HOODIES'),
(27, 'CLOTHING'),
(35, 'SPORTS');
DECLARE #SUBSUBCATS TABLE (ID int, DESCR varchar(100));
INSERT #SUBSUBCATS (ID, DESCR) VALUES
(100, 'RUNNING'),
(104, 'ZIP TOPS'),
(135, 'FLEECE'),
(157, 'BIKINIS'),
(238, 'PANTS'),
(374, 'JOGGERS');
;
with prod as (
SELECT p.ID,
p.DESCRIPTION
, c.value as CatId
, c.[key] as CatKey
, sc.value as SubCatId
, sc.[key] as SubCatKey
, ssc.value as SubSubCatId
, ssc.[key] as SubSubCatKey
FROM #PRODUCTS p
cross apply dbo.udf_split_string(cat, ', ') c
cross apply dbo.udf_split_string(subcat, ', ') sc
cross apply dbo.udf_split_string(subsubcat, ', ') ssc
where c.[key] = sc.[key]
and c.[key] = ssc.[key]
)
, a as (
select p.ID
, p.DESCRIPTION
, c.DESCR + ' > ' + sc.DESCR + ' > ' + ssc.DESCR as CATEGORIES
, p.CatKey
from prod p
inner join #CATS c on c.ID = p.CatId
inner join #SUBCATS sc on sc.ID = p.SubCatId
inner join #SUBSUBCATS ssc on ssc.ID = p.SubSubCatId
)
select DISTINCT ID
, DESCRIPTION
, replace(STUFF((SELECT distinct ' | ' + a2.CATEGORIES
from a a2
where a.ID = a2.ID
FOR XML PATH(''))
,1,2,''), '>', '>') CATEGORIES
from a
Well that should do work, i changed your character ">" for "-" just for see the data more simple.
the design of your tables is not perfect but the first try almost never is.
select mainp.ID, mainp.DESCRIPTION, stuff(ppaths.metapaths, len(ppaths.metapaths),1,'') metalinks
from #PRODUCTS mainp
cross apply(
select
(select
c.DESCR + '-' + sc.DESCR + '-' + sbc.DESCR + '|'
from #PRODUCTS p
cross apply (select row_number() over(order by Value) id, Value from split(p.CAT, ','))cat_ids
inner join #cats c on c.ID = cat_ids.Value
cross apply (select row_number() over(order by Value) id, Value from split(p.SUBCAT, ','))subcat_ids
inner join #SUBCATS sc on sc.ID = subcat_ids.Value
and subcat_ids.id = subcat_ids.id
cross apply (select row_number() over(order by Value) id, Value from split(p.SUBSUBCAT, ','))subsubcat_ids
inner join #SUBSUBCATS sbc on sbc.ID = subsubcat_ids.Value
and subsubcat_ids.id = subcat_ids.id
where p.id = mainp.ID
for xml path('')) metapaths
) ppaths
the link for split function
https://desarrolladores.me/2014/03/sql-server-funcion-split-para-dividir-un-string/
I have these tables
CREATE TABLE [dbo].[Columns]
(
[ColumnId] INT,
[TableId] INT NOT NULL,
[ColumnName] NVARCHAR(150) NOT NULL,
[Order] INT,
[Key] BIT
)
CREATE TABLE [dbo].[Tables]
(
[TableId] INT,
[TableName] NVARCHAR(200)
)
CREATE TABLE [dbo].[RowValues]
(
[ColumnId] INT NOT NULL,
[RowNumber] INT NOT NULL,
[Value] NVARCHAR(200) NOT NULL
)
With this sample data:
insert into [Columns] values (1, 1, 'StudentName', 1, 1)
insert into [Columns] values (2, 1, 'Grade', 1, 0)
insert into [Columns] values (3, 1, 'Year', 1, 0)
insert into [Columns] values (4, 1, 'Section', 1, 0)
insert into [Columns] values (5, 2, 'TeacherName', 1, 1)
insert into [Columns] values (6, 2, 'Department', 1, 0)
insert into [Tables] values (1, 'Student')
insert into [Tables] values (2, 'Teacher')
insert into [RowValues] values (1, 1, 'Student Alan')
insert into [RowValues] values (2, 1, '99')
insert into [RowValues] values (3, 1, '1st')
insert into [RowValues] values (4, 1, 'Section 1')
insert into [RowValues] values (1, 2, 'Student Alex')
insert into [RowValues] values (2, 2, '98')
insert into [RowValues] values (3, 2, '1st')
insert into [RowValues] values (4, 2, 'Section 1')
insert into [RowValues] values (1, 3, 'Student Alfonso')
insert into [RowValues] values (2, 3, '97')
insert into [RowValues] values (3, 3, '1st')
insert into [RowValues] values (4, 3, 'Section 1')
insert into [RowValues] values (1, 4, 'Student Ben')
insert into [RowValues] values (2, 4, '96')
insert into [RowValues] values (3, 4, '1st')
insert into [RowValues] values (4, 4, 'Section 1')
insert into [RowValues] values (1, 5, 'Student Cathy')
insert into [RowValues] values (2, 5, '95')
insert into [RowValues] values (3, 5, '1st')
insert into [RowValues] values (4, 5, 'Section 1')
insert into [RowValues] values (5, 1, 'Teacher Tesso')
insert into [RowValues] values (6, 1, 'Biology Dept')
insert into [RowValues] values (5, 2, 'Teacher Marvin')
insert into [RowValues] values (6, 2, 'Math Dept')
I have this stored procedure:
CREATE PROCEDURE [dbo].[usp_DynamicSearch_Paged]
(#searchTerm NVARCHAR(max),
#pageNumber INT = 1,
#pageSize INT = 10,
#sortColumn NVARCHAR(20),
#sortDirection INT)
AS
BEGIN
DECLARE #TableNameLiteral nvarchar(13) = 'TableName'
DECLARE #ColumnNameLiteral nvarchar(10) = 'ColumnName'
IF (ISNULL(#sortColumn, '') = '')
BEGIN
SET #sortColumn = #TableNameLiteral
END
;WITH KeyTableId AS
(
SELECT
T.TableId
FROM
[dbo].[Tables] T
INNER JOIN
[dbo].[Columns] C ON T.TableId = C.[TableId]
WHERE
C.[Key] = 1
), ColumnId AS
(
SELECT
[KeyValue] = C.[ColumnName]
,[ColumnId] = V.[ColumnId]
,V.[Value]
,T.[TableName]
,C.[ColumnName]
,C.[Order]
,C.[Key]
FROM
[dbo].[Tables] T
INNER JOIN
[dbo].[Columns] C ON T.TableId = C.[TableId]
LEFT JOIN
[dbo].[RowValues] V ON V.[ColumnId] = C.[ColumnId]
RIGHT JOIN
KeyTableId KT ON T.TableId = KT.TableId
)
SELECT *
FROM ColumnId
WHERE ISNULL(#SearchTerm,'') = ''
OR [Value] LIKE #SearchTerm + '%'
ORDER BY
CASE WHEN #sortDirection = 2 THEN
CASE
WHEN #sortColumn = #TableNameLiteral THEN [TableName]
WHEN #sortColumn = #ColumnNameLiteral THEN [ColumnName]
END
END DESC,
CASE WHEN #sortDirection = 1 THEN
CASE
WHEN #sortColumn = #TableNameLiteral THEN [TableName]
WHEN #sortColumn = #ColumnNameLiteral THEN [ColumnName]
END
END ASC
OFFSET ((#pageNumber - 1) * #pageSize) ROWS
FETCH NEXT #PageSize ROWS ONLY;
SELECT
ColumnId = C.ColumnId,
C.ColumnName,
C.[Order],
C.[Key]
FROM [dbo].[Tables] T
LEFT JOIN [dbo].[Columns] C ON T.TableId = C.[TableId]
END
Based on the schema you can probably understand what I am trying to build.
My question is how do I order the result based on dynamic name
example (order by "StudentName" DESC)
Expected output
KeyValue ColumnId Value TableName ColumnName Order Key
'StudentName' 1 'Student Cathy' 'Student' 'StudentName' 1 1
'StudentName' 1 'Student Ben' 'Student' 'StudentName' 2 1
'StudentName' 1 'Student Alfonso' 'Student' 'StudentName' 3 1
'StudentName' 1 'Student Alex' 'Student' 'StudentName' 4 1
'StudentName' 1 'Student Alan' 'Student' 'StudentName' 5 1
'Grade' 2 '99' 'Student' 'Grade' 5 0 (Alan's Grade)
'Grade' 2 '98' 'Student' 'Grade' 4 0
... Year
... Section
...
How Do I sort by StudentName or Grade or Section or Year if key = student name
or
Sort by TeacherName or department if key = Teachername
indicated by #sortColumn NVARCHAR(20),
example
declare #SearchTerm NVARCHAR(max)=''
declare #pageNumber INT = 1
declare #pageSize INT = 10
declare #sortColumn NVARCHAR(20) ='StudentName'
declare #sortDirection int= 1 -- 0 asc 1 desc
exec [usp_DynamicSearch_Paged] #SearchTerm, #pageNumber, #pageSize, #sortColumn, #sortDirection
Following #mdb's answer to apply pagination using SQL SERVER, I find it hard to retrieve distinct records when the main table is joined to other tables for a one-to-many relationship, i.e, A person has many addresses.
Use case, suppose I want to retrieve all persons which has an address in New York given tables #temp_person and #temp_addresses, I would join them on PersonID and OwnerID.
The problem arises when there are multiple addresses for a person, the result set contains duplicate records.
To make it clearer, here's a sample query with data:
Sample Data:
create table #temp_person (
PersonID int not null,
FullName varchar(max) not null
)
create table #temp_addresses(
AddressID int identity not null,
OwnerID int not null,
Address1 varchar(max),
City varchar(max)
)
insert into #temp_person
values
(1, 'Sample One'),
(2, 'Sample Two'),
(3, 'Sample Three')
insert into #temp_addresses (OwnerID, Address1, City)
values
(1, 'Somewhere East Of', 'New York'),
(1, 'Somewhere West Of', 'New York'),
(2, 'blah blah blah', 'Atlantis'),
(2, 'Address2 Of Sample Two', 'New York'),
(2, 'Address3 Of Sample Two', 'Nowhere City'),
(3, 'Address1 Of Sample Three', 'New York'),
(3, 'Address2 Of Sample Three', 'Seattle')
--drop table #temp_addresses, #temp_person
Pagination Query:
SELECT
(
CAST( RowNum as varchar(MAX) )
+ '/'
+ CAST(TotalCount as varchar(MAX))
) as ResultPosition
, PersonID
, FullName
FROM (
SELECT DISTINCT
ROW_NUMBER() OVER(ORDER BY p.FullName ASC) as RowNum
, p.PersonID
, p.FullName
, Count(1) OVER() as TotalCount
FROM #temp_person p
LEFT JOIN #temp_addresses a
ON p.PersonID = a.OwnerID
WHERE City = 'New York'
) as RowConstrainedResult
WHERE RowNum > 0 AND RowNum <= 3
ORDER BY RowNum
Expected Results:
ResultPosition PersonID FullName
1/3 1 Sample One
2/3 2 Sample Two
3/3 3 Sample Three
Actual Results:
ResultPosition PersonID FullName
1/4 1 Sample One
2/4 1 Sample One
3/4 3 Sample Three
As you can see, the inner query is returning multiple records due to the join with #temp_addresses.
Is there a way we could only return unique records by PersonID?
UPDATE:
Actual use case is for an "Advanced Search" functionality where the user can search using different filters, i.e, name, firstname, last name, birthdate, address, etc.. The <WHERE_CLAUSE> and <JOIN_STATEMENTS> in the query are added dynamically so GROUP BY is not applicable here.
Also, please address the "Pagination" scheme for this question. That is, I want to retrieve only N number of results from Start while also retrieving the total count of the results as if they are not paged. i.e, I retrieve only 25 rows out of a total of 500 results.
Just do group by PersonID and no need to use subquery
SELECT
cast(row_number() over (order by (select 1)) as varchar(max)) +'/'+
cast(Count(1) OVER() as varchar(max)) ResultPosition,
p.PersonID,
max(p.FullName) FullName
FROM #temp_person p
LEFT JOIN #temp_addresses a ON p.PersonID = a.OwnerID
WHERE City = 'New York'
group by p.PersonID
EDIT : I would use CTE for the pagination
;with cte as
(
SELECT
row_number() over(order by (select 1)) rn,
cast(row_number() over (order by (select 1)) as varchar(max)) +'/'+
cast(Count(1) OVER() as varchar(max)) ResultPosition,
p.PersonID,
max(p.FullName) FullName
FROM #temp_person p
LEFT JOIN #temp_addresses a ON p.PersonID = a.OwnerID
WHERE City = 'New York'
group by p.PersonID
)
select * from cte
where rn > 0 and rn <= 2
Result:
ResultPosition PersonID FullName
1/3 1 Sample One
2/3 2 Sample Two
3/3 3 Sample Three
You need to have distinct rows before using ROW_NUMBER().
If you will filter by City, there are no need to use LEFT JOIN. Use INNER JOIN instead.
select ResultPosition = cast(row_number() over (order by (r.PersonID)) as varchar(max)) +'/'+ cast(Count(r.PersonID) OVER() as varchar(max)), *
from(
SELECT distinct p.PersonID,
p.FullName
FROM #temp_person p
JOIN #temp_addresses a ON
p.PersonID = a.OwnerID
WHERE City = 'New York') r
EDIT:
Considering pagination
declare #page int =1, #rowsPage int = 25
select distinct position, ResultPosition = cast(position as varchar(10)) + '/' + cast(count(*) OVER() as varchar(10)), *
from(
SELECT position = DENSE_RANK () over (order by p.PersonID),
p.PersonID,
p.FullName
FROM #temp_person p
LEFT JOIN #temp_addresses a ON
p.PersonID = a.OwnerID
WHERE City = 'New York'
) r
where position between #rowsPage*(#page-1)+1 and #rowsPage*#page
Geoman Yabes, Check if this help... Gives results expected in your example and you can have pagination using RowNum:-
SELECT *
FROM
(SELECT ROW_NUMBER() OVER(ORDER BY RowConstrainedResult.PersonId ASC) As RowNum,
Count(1) OVER() As TotalRows,
RowConstrainedResult.PersonId,
RowConstrainedResult.FullName
FROM (
SELECT
RANK() OVER(PARTITION BY p.PersonId ORDER BY a.Address1 ASC) as Ranking
, p.PersonID
, p.FullName
FROM #temp_person p
INNER JOIN #temp_addresses a ON p.PersonID = a.OwnerID WHERE City = 'New York'
) as RowConstrainedResult WHERE Ranking = 1) Filtered
Where RowNum > 0 And RowNum <= 4
Sample Data:
insert into #temp_person
values
(1, 'Sample One'),
(2, 'Sample Two'),
(3, 'Sample Three'),
(4, 'Sample 4'),
(5, 'Sample 5'),
(6, 'Sample 6')
insert into #temp_addresses (OwnerID, Address1, City)
values
(1, 'Somewhere East Of', 'New York'),
(1, 'Somewhere West Of', 'New York'),
(2, 'blah blah blah', 'Atlantis'),
(2, 'Address2 Of Sample Two', 'New York'),
(2, 'Address3 Of Sample Two', 'Nowhere City'),
(3, 'Address1 Of Sample Three', 'New York'),
(3, 'Address2 Of Sample Three', 'Seattle'),
(4, 'Address1 Of Sample 4', 'New York'),
(4, 'Address1 Of Sample 4', 'New York 2'),
(5, 'Address1 Of Sample 5', 'New York'),
(6, 'Address1 Of Sample 6', 'New York')
I am using SQL Server 2014.
How can I create a cross-table out of the straight table like the below?
Code here where I try to do the multiple-pivoting.
Sample input
Code here only about the sample data.
GOAL after pivoting and reformatting of the columns by other columns
This logic would work for you:
Create an additional temp table where you store all the possible combinations of Store and City, then left join with your existing table.
From this left join you get the "calculated" string that you will use as a column name (C1_L_xCount, C1_L2_xCount, etc).
Then apply a pivot as below:
select ylabel.colx, ylabel.coly, y.myid, y.week, isnull(y.xCount, 0) xCount, isnull(y.yCount, 0) yCount
into #table
from (
select distinct y3.week, y1.city, y2.store, y1.city + '_' + y2.store + '_xCount' as colx, y1.city + '_' + y2.store + '_yCount' as coly
from #yt y1 cross join #yt y2 cross join #yt y3
) ylabel left join #yt y on y.week = ylabel.week and y.store = ylabel.store and y.city = ylabel.city
select * from #table --this is the additional table, the one used for pivoting
--this is your solution:
select myid
, week
, isnull(C1_L_xCount, 9) C1_L_xCount
, isnull(C1_L2_xCount, 9 ) C1_L2_xCount
, isnull(C2_L_xCount, 0) C2_L_xCount
, isnull(C2_L2_xCount, 0) C2_L2_xCount
, isnull(C1_L_yCount, 0) C1_L_yCount
, isnull(C1_L2_yCount, 0) C1_L2_yCount
, isnull(C2_L_yCount, 0) C2_L_yCount
, isnull(C2_L2_yCount, 0) C2_L2_yCount
from
(
select *
from #table
pivot ( max(xCount) for colx in ( [C1_L_xCount], [C1_L2_xCount],[C2_L_xCount], [C2_L2_xCount])) p
pivot ( max(yCount) for coly in ( [C1_L_yCount], [C1_L2_yCount],[C2_L_yCount], [C2_L2_yCount])) q
where myid is not null
) t
Please check a working demo here.
But, if you need to dynamically add Stores and Cities, you will need to convert this into a dynamic pivot.
We repeat the case such that
CASE WHEN
[City]='C1' AND [Store]='L'
THEN
[xCount]
END
AS 'LC1_xCount',
I changed the valuations a little bit to get more combinations, code here.
or code here:
CREATE TABLE #yt
([MyID] int, [Store] nvarchar(300), [City] nvarchar(300), [Week] int, [xCount] int, [yCount] int)
;
INSERT INTO #yt
([MyID], [Store], [City], [Week], [xCount], [yCount])
VALUES
(1, 'L', 'C1', 1, 96, 7),
(2, 'L', 'C1', 1, 138, 77),
(3, 'L2', 'C1', 1, 37, 744),
(4, 'L', 'C1', 1, 59, 74),
(5, 'L', 'C1', 2, 282,73333),
(6, 'L2', 'C2', 2, 212,7333),
(7, 'L2', 'C2', 2, 78,733),
(8, 'L', 'C2', 2, 97,73),
(9, 'L', 'C2', 3, 60,72222),
(10, 'L2', 'C2', 3, 123,7222),
(11, 'L2', 'C1', 3, 220,722),
(12, 'L2', 'C1', 3, 87,72)
;
select [MyId], [Week], [LC1_xCount], [LC2_xCount], [L2C1_xCount], [L2C2_xCount]
, [LC1_yCount], [LC2_yCount], [L2C1_yCount], [L2C2_yCount]
from
(
select myid, week, store, city, xcount, ycount,
CASE WHEN
[City]='C1' AND [Store]='L'
THEN
[xCount]
END
AS 'LC1_xCount',
CASE WHEN
[City]='C2' AND [Store]='L'
THEN
[xCount]
END
AS 'LC2_xCount',
CASE WHEN
[City]='C1' AND [Store]='L2'
THEN
[xCount]
END
AS 'L2C1_xCount',
CASE WHEN
[City]='C2' AND [Store]='L2'
THEN
[xCount]
END
AS 'L2C2_xCount',
CASE WHEN
[City]='C1' AND [Store]='L'
THEN
[yCount]
END
AS 'LC1_yCount',
CASE WHEN
[City]='C2' AND [Store]='L'
THEN
[yCount]
END
AS 'LC2_yCount',
CASE WHEN
[City]='C1' AND [Store]='L2'
THEN
[yCount]
END
AS 'L2C1_yCount',
CASE WHEN
[City]='C2' AND [Store]='L2'
THEN
[yCount]
END
AS 'L2C2_yCount'
from #yt
GROUP BY myid, week, store,city, xcount, ycount
) src;