I have an example where we prepared query in sql for fetching appropriate results
SQL Query-
select partnerid,BrandDesc,ActualRetailValue
from
(
select DENSE_RANK() over (partition by partnerid order by sum(ActualRetailValue) desc) as rnk,
partnerid,BrandDesc,sum(ActualRetailValue) as ActualRetailValue
from JDASales
where partnerid in (693,77)
group by partnerid,BrandDesc
) as A
where rnk <=5
order by partnerid,rnk
Output -
I want this result with mdx query.Even tryout with this code
SELECT
NON EMPTY
{[Measures].[Actual Retail Value]} ON COLUMNS
,NON EMPTY
[DimBrands].[Brand].[Brand].ALLMEMBERS
*
TopCount
(
[DimPartners].[Partner].[Partner].ALLMEMBERS
*
[DimSKU].[XXX Desc].[XXX Desc].ALLMEMBERS
,5
,[Measures].[Actual Retail Value]
) ON ROWS
FROM
(
SELECT
{[DimPartners].[Partner].&[1275]} ON COLUMNS
FROM
(
SELECT
{[Dim Date].[Fiscal Year].&[2014-01-01T00:00:00]} ON COLUMNS
FROM [SALES]
)
)
WHERE
[Dim Date].[Fiscal Year].&[2014-01-01T00:00:00];
You can amend the rows snippet to use the GENERATE function:
SELECT
NON EMPTY
{[Measures].[Actual Retail Value]} ON 0
,NON EMPTY
GENERATE(
[DimBrands].[Brand].[Brand].ALLMEMBERS AS B
,
TopCount(
B.CURRENTMEMBER
*[DimPartners].[Partner].[Partner].ALLMEMBERS
*[DimSKU].[XXX Desc].[XXX Desc].ALLMEMBERS
,5
,[Measures].[Actual Retail Value]
)
) ON ROWS
...
...
This functions usage is detailed here: https://msdn.microsoft.com/en-us/library/ms145526.aspx
Related
I have a select distinct query that can return 2 rows with the same code since not all columns have the same value. Now my boss wants to get the first one. So how to I do it. Below is the sample result. I want only to return the get the first two unique pro
Use row_number in your query. Please find this link for more info link
; with cte as (
select row_number() over (partition by pro order by actual_quantity) as Slno, * from yourtable
) select * from cte where slno = 1
Your chances to get the proper answer can be much higher if you spend some time to prepare the question properly. Provide the DDL and sample data, as well as add the desired result.
To solve your problem, you need to know the right uniqueness order to get 1 record per window group. Google for window functions. In my example the uniqueness is --> Single row for every pro with earliest proforma_invoice_received_date date and small amount per this date.
DROP TABLE IF EXISTS #tmp;
GO
CREATE TABLE #tmp
(
pro VARCHAR(20) ,
actual_quantity DECIMAL(12, 2) ,
proforma_invoice_received_date DATE ,
import_permit DATE
);
GO
INSERT INTO #tmp
( pro, actual_quantity, proforma_invoice_received_date, import_permit )
VALUES ( 'N19-00945', 50000, '20190516', '20190517' ),
( 'N19-00945', 50001, '20190516', '20190517' )
, ( 'N19-00946', 50002, '20190516', '20190517' )
, ( 'N19-00946', 50003, '20190516', '20190517' );
SELECT a.pro ,
a.actual_quantity ,
a.proforma_invoice_received_date ,
a.import_permit
FROM ( SELECT pro ,
actual_quantity ,
proforma_invoice_received_date ,
import_permit ,
ROW_NUMBER() OVER ( PARTITION BY pro ORDER BY proforma_invoice_received_date, actual_quantity ) AS rn
FROM #tmp
) a
WHERE rn = 1;
-- you can also use WITH TIES for that to save some lines of code
SELECT TOP ( 1 ) WITH TIES
pro ,
actual_quantity ,
proforma_invoice_received_date ,
import_permit
FROM #tmp
ORDER BY ROW_NUMBER() OVER ( PARTITION BY pro ORDER BY proforma_invoice_received_date, actual_quantity );
DROP TABLE #tmp;
Try this-
SELECT * FROM
(
SELECT *,
ROW_NUMBER() OVER (PARTITION BY pro ORDER BY Pro) RN
-- You need to add other columns in the ORDER BY clause
-- with 'pro' to get your desired row. other case you
-- will get first row returned by the query with only
-- order by 'pro' and this can vary for different execution
FROM your_table
)A
WHERE RN = 1
CREATE TABLE T (
A [numeric](10, 2) NULL,
B [numeric](10, 2) NULL
)
INSERT INTO T VALUES (100,20)
INSERT INTO T VALUES (100,30)
INSERT INTO T VALUES (200,40)
INSERT INTO T VALUES (200,50)
select *
from T
/*
A B
100.00 20.00
100.00 30.00
200.00 40.00
200.00 50.00
*/
select U.A, U.B
from
(select row_number() over(Partition By A Order By B) as row_num, *
from T ) U
where row_num = 1
/*
A B
100.00 20.00
200.00 40.00
*/
I have the following result set:
ID P1Score P2Score P3Score
===================================
22117617 NULL 50 NULL
22117617 1 NULL NULL
22117617 NULL NULL 40
What I want to do is, merge these rows into one.
I want to place value of P1Score in the P1score column, same with P2score and P3score.
How would one achieve this?
select ID,
max(ISNULL(P1Score,0)),
max(ISNULL(P2Score,0)),
max(ISNULL(P3Score,0))
from [Score] group by ID
You can directly use group by with sum() function since suppose if you have multiple scores for single Id then sum would be appropriate.
SELECT ID
,sum(P1Score) AS P1Score
,sum(P2Score) AS P2Score
,sum(P3Score) AS P3Score
FROM [Score]
GROUP BY ID
If you are using SQL Server 2012 or up, you can use MAX with OVER:
SELECT DISTINCT ID,
MAX(P1Score) OVER (ORDER BY ID) P1Score,
MAX(P2Score) OVER (ORDER BY ID) P2Score,
MAX(P3Score) OVER (ORDER BY ID) P3Score
FROM YourTable
Output:
ID P1Score P2Score P3Score
22117617 1 50 40
Or even pivoting:
SELECT *
FROM YourTable
UNPIVOT (
[Values] FOR PScores IN (P1Score, P2Score, P3Score)
) unp
PIVOT (
MAX([Values]) FOR PScores IN (P1Score, P2Score, P3Score)
) piv
I want to create table like this:
[January] [February] ...other months... [Total for Year]
item1
item2
item3
It's easy to create 2 different queries, for months and total, like this:
SELECT
[Time].[Month].[Month] ON COLUMNS,
TOPCOUNT([Items], 5, [Count]) ON ROWS
FROM [Cube]
WHERE([Time].[Year].[Year].&[2015-01-01T00:00:00])
and
WITH
MEMBER [Total] AS SUM([Count], [Time].[Year].[Year].&[2015-01-01T00:00:00])
SELECT
[Total] ON COLUMNS,
TOPCOUNT([Items], 5, [Count]) ON ROWS
FROM [Cube]
but how to concatenate them or write single one?
You could expand the WITH statement like this:
WITH
MEMBER [Time].[Month].[All].[Total] AS --<<THIS IS HOSTED IN SAME HIERARCHY AS THE SET THAT FOLLOWS
Sum
(
[Count]
,[Time].[Year].[Year].&[2015-01-01T00:00:00]
)
SET [mths] AS
Exists
(
[Time].[Month].[Month].MEMBERS
,[Time].[Year].[Year].&[2015-01-01T00:00:00]
)
SET [concatenatet_set] AS
{
--<<THE FOLLOWING CAN BE BROUGHT TOGETHER AS THEY HAVE THE SAME "DIMENSIONALITY" I.E. FROM THE SAME HIERARCHY
[mths]
,[Time].[Month].[All].[Total]
}
SELECT
[concatenatet_set] ON COLUMNS
,TopCount
(
[Items]
,5
,[Count]
) ON ROWS
FROM [Cube];
Here is the script I have used to test the above idea against AdvWrks:
WITH
MEMBER [Date].[Calendar].[All].[Total] AS
Sum
(
[Measures].[Internet Sales Amount]
,(
[Date].[Calendar].[All Periods]
,[Date].[Calendar Year].&[2007]
,[Date].[Calendar Quarter of Year].&[CY Q1]
)
)
SET [mths] AS
Exists
(
[Date].[Calendar].[Month]
,(
[Date].[Calendar Year].&[2007]
,[Date].[Calendar Quarter of Year].&[CY Q1]
)
)
SET [concatenatet_set] AS
{
[mths]
,[Date].[Calendar].[All].[Total]
}
SELECT
[concatenatet_set] ON COLUMNS
,TopCount
(
NonEmpty
(
[Product].[Subcategory].[Subcategory]
,(
[Date].[Calendar Year].&[2007]
,[Date].[Calendar Quarter of Year].&[CY Q1]
)
)
,5
,[Measures].[Internet Sales Amount]
) ON ROWS
FROM [Adventure Works]
WHERE
[Measures].[Internet Sales Amount];
It results in the following which seems reasonable:
Try just changing your first query to:
SELECT
[Time].[Month].Members ON COLUMNS,
TOPCOUNT([Items], 5, [Count]) ON ROWS
FROM [Cube]
WHERE([Time].[Year].[Year].&[2015-01-01T00:00:00])
Say I have part of a large query, as below, that returns a resultset with multiple rows of the same key information (PolNum) with different value information (PolPremium) in a random order.
Would it be possible to select the first matching PolNum fields and sum up the PolPremium. In this case I know that there are 2 PolNumber's used so given the screenshot of the resultset (yes I know it starts at 14 for illustration purposes) and return the first values and sum the result.
First match for PolNum 000035789547
(ROW 14) PolPremium - 32.00
First match for PolNum 000035789547
(ROW 16) PolPremium - 706043.00
Total summed should be 32.00 + 706043.00 = 706072.00
Query
OUTER APPLY
(
SELECT PolNum, PolPremium
FROM PN20
WHERE PolNum IN(SELECT PolNum FROM SvcPlanPolicyView
WHERE SvcPlanPolicyView.ControlNum IN (SELECT val AS ServedCoverages FROM ufn_SplitMax(
(SELECT TOP 1 ServicedCoverages FROM SV91 WHERE SV91.AccountKey = 3113413), ';')))
ORDER BY PN20.PolEffDate DESC
}
Resultset
Suppose that pic if the final result your query produces. Then you can do something like:
DECLARE #t TABLE
(
PolNum VARCHAR(20) ,
PolPremium MONEY
)
INSERT INTO #t
VALUES ( '000035789547', 32 ),
( '000035789547', 76 ),
( '000071709897', 706043.00 ),
( '000071709897', 1706043.00 )
SELECT t.PolNum ,
SUM(PolPremium) AS PolPremium
FROM ( SELECT * ,
ROW_NUMBER() OVER ( PARTITION BY PolNum ORDER BY PolPremium ) AS rn
FROM #t
) t
WHERE rn = 1
GROUP BY GROUPING SETS(t.PolNum, ( ))
Output:
PolNum PolPremium
000035789547 32.00
000071709897 706043.00
NULL 706075.00
Just replace #t with your query. Also I assume that row with minimum of premium is the first. You could probably do filtering top row in outer apply part but it really not clear for me what is going on there without some sample data.
I have the following table that I have to work with.
SQL Fiddle
Basically, it is a product that stores up to 10 barcodes for a product code (simplified example). At any time, any number of those 10 barcode fields might have a value.
I have another table that has a list of product code and barcode, and need to add these to the product barcode table.
I need to perform an update so that any of the barcodes in barcodes_to_import are appended to the product_barcode table, into the first non null barcode column.
table product_barcodes
product_Code barcode_1 barcode_2 barcode_3 barcode_4 barcode_5
ABC 1 2 3
BCD 4
table barcodes_to_import
product_code barcode
ABC 7
BCD 8
Expected output:
product_Code barcode_1 barcode_2 barcode_3 barcode_4 barcode_5
ABC 1 2 3 7
BCD 4 8
create table product_barcodes(product_Code varchar(10),barcode_1 int,barcode_2 int,barcode_3 int
,barcode_4 int,barcode_5 int,barcode_6 int,barcode_7 int,barcode_8 int,barcode_9 int,barcode_10 int)
create table barcodes_to_import(product_code varchar(10),barcode int)
--Inserted Sample values as below
SELECT * FROM product_barcodes
SELECT * FROM barcodes_to_import
--Output Query
;with cte
as
(
select product_code,data,col_name
from product_barcodes
unpivot
(
data for col_name in (
barcode_1,barcode_2,barcode_3,barcode_4,barcode_5
,barcode_6,barcode_7,barcode_8,barcode_9,barcode_10
)
) upvt
)
,cte1
as
(
select *,ROW_NUMBER() OVER(PARTITION BY product_code ORDER BY col_name) as rn
from
(
select product_code, data,col_name from cte
union all
select product_code,barcode,'barcode_z' as col_name from barcodes_to_import
) t
)
select
product_Code
,SUM(1) as barcode_1
,SUM([2]) as barcode_2
,SUM([3]) as barcode_3
,SUM([4]) as barcode_4
,SUM([5]) as barcode_5
,SUM([6]) as barcode_6
,SUM([7]) as barcode_7
,SUM([8]) as barcode_8
,SUM([9]) as barcode_9
,SUM([10]) as barcode_10
from cte1
PIVOT
(
AVG(data) for rn in (1,[2],[3],[4],[5],[6],[7],[8],[9],[10])
) pvt
GROUP BY product_Code