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I have two issues :
I used 'Rollup' function to add Totals per Month and Year and I would like to change 'NULL' into grand_total as in the attached screenshot
I dont know how to add a new column that will summarize values starting from the second row
Please see attached screenshot of the results I need to receive and an example for a code from my side with a screenshot of the source output : [1]: https://i.stack.imgur.com/6B70o.png
[1]: https://i.stack.imgur.com/E2x8K.png
Select Year(Modifieddate) AS Year,
MONTH(modifieddate) as Month,
Sum(linetotal) as Sum_price
from Sales.SalesOrderDetail
Group by rollup( Year(Modifieddate),MONTH(modifieddate))
Thanks in advance,
I think this will work:
Select Year(Modifieddate) AS Year,
coalesce(convert(varchar(255), month(modifieddate)), 'Grand Total') as Month,
Sum(linetotal) as Sum_price,
sum(sum(linetotal)) over (partition by Year(Modifieddate)
order by coalesce(month(modifieddate), 100)
) as ytd_sum_price
from Sales.SalesOrderDetail
Group by rollup( Year(Modifieddate), month(modifieddate))
The coalesce() in the order by is to put the summary row last for the cumulative sum.
Like this:
Select Year(Modifieddate) AS Year, MONTH(modifieddate) as Month, Sum(linetotal) as Sum_price
from Sales.SalesOrderDetail
Group by rollup( Year(Modifieddate),MONTH(modifieddate))
UNION
Select Year(Modifieddate) AS Year, 'grand_total' as Month, Sum(linetotal) as Sum_price
from Sales.SalesOrderDetail
Group by Year(Modifieddate)
-- SQL SERVER
SELECT t.OrderYear
, CASE WHEN t.OrderMonth IS NULL THEN 'Grand Total' ELSE CAST(t.OrderMonth AS VARCHAR(20)) END b
, t.MonthlySales
, MAX(t.cum_total) cum_total
FROM (SELECT
YEAR(OrderDate) AS OrderYear,
MONTH(OrderDate) AS OrderMonth,
SUM(SubTotal) AS MonthlySales,
SUM(SUM(SubTotal)) OVER (ORDER BY YEAR(OrderDate), MONTH(OrderDate) ROWS UNBOUNDED PRECEDING) cum_total
FROM Sales.SalesOrderHeader
GROUP BY GROUPING SETS ((YEAR(OrderDate), MONTH(OrderDate)))) t
GROUP BY GROUPING SETS ((t.OrderYear
, t.OrderMonth
, t.MonthlySales), t.OrderYear);
Please check this url https://dbfiddle.uk/?rdbms=sqlserver_2019&sample=adventureworks&fiddle=e6cd2ba8114bd1d86b8c61b1453cafcf
To build one #GordonLinoff's answer, you are really supposed to use the GROUPING() function to check whether you are dealing with the grouping column. This behaves better in the face of nullable columns.
Select case when grouping(Year(Modifieddate)) = 0
then Year(Modifieddate)
else 'Grand Total' end AS Year,
case when grouping(month(modifieddate)) = 0
then convert(varchar(255), month(modifieddate))
else 'Grand Total' end as Month,
Sum(linetotal) as Sum_price,
sum(sum(linetotal)) over (
partition by
grouping(Year(Modifieddate)),
grouping(month(modifieddate)),
Year(Modifieddate)
order by month(modifieddate)
) as ytd_sum_price
from Sales.SalesOrderDetail
Group by rollup( Year(Modifieddate), month(modifieddate));
I have a table which has the following columns: DeskID *, ProductID *, Date *, Amount (where the columns marked with * make the primary key). The products in use vary over time, as represented in the image below.
Table format on the left, and a (hopefully) intuitive representation of the data on the right for one desk
The objective is to have the sum of the latest amounts of products by desk and date, including products which are no longer in use, over a date range.
e.g. using the data above the desired table is:
So on the 1st Jan, the sum is 1 of Product A
On the 2nd Jan, the sum is 2 of A and 5 of B, so 7
On the 4th Jan, the sum is 1 of A (out of use, so take the value from the 3rd), 5 of B, and 2 of C, so 8 in total
etc.
I have tried using a partition on the desk and product ordered by date to get the most recent value and turned the following code into a function (Function1 below) with #date Date parameter
select #date 'Date', t.DeskID, SUM(t.Amount) 'Sum' from (
select #date 'Date', t.DeskID, t.ProductID, t.Amount
, row_number() over (partition by t.DeskID, t.ProductID order by t.Date desc) as roworder
from Table1 t
where 1 = 1
and t.Date <= #date
) t
where t.roworder = 1
group by t.DeskID
And then using a utility calendar table and cross apply to get the required values over a time range, as below
select * from Calendar c
cross apply Function1(c.CalendarDate)
where c.CalendarDate >= '20190101' and c.CalendarDate <= '20191009'
This has the expected results, but is far too slow. Currently each desk uses around 50 products, and the products roll every month, so after just 5 years each desk has a history of ~3000 products, which causes the whole thing to grind to a halt. (Roughly 30 seconds for a range of a single month)
Is there a better approach?
Change your function to the following should be faster:
select #date 'Date', t.DeskID, SUM(t.Amount) 'Sum'
FROM (SELECT m.DeskID, m.ProductID, MAX(m.[Date) AS MaxDate
FROM Table1 m
where m.[Date] <= #date) d
INNER JOIN Table1 t
ON d.DeskID=t.DeskID
AND d.ProductID=t.ProductID
and t.[Date] = d.MaxDate
group by t.DeskID
The performance of TVF usually suffers. The following removes the TVF completely:
-- DROP TABLE Table1;
CREATE TABLE Table1 (DeskID int not null, ProductID nvarchar(32) not null, [Date] Date not null, Amount int not null, PRIMARY KEY ([Date],DeskID,ProductID));
INSERT Table1(DeskID,ProductID,[Date],Amount)
VALUES (1,'A','2019-01-01',1),(1,'A','2019-01-02',2),(1,'B','2019-01-02',5),(1,'A','2019-01-03',1)
,(1,'B','2019-01-03',4),(1,'C','2019-01-03',3),(1,'B','2019-01-04',5),(1,'C','2019-01-04',2),(1,'C','2019-01-05',2)
GO
DECLARE #StartDate date=N'2019-01-01';
DECLARE #EndDate date=N'2019-01-05';
;WITH cte_p
AS
(
SELECT DISTINCT DeskID,ProductID
FROM Table1
WHERE [Date] <= #EndDate
),
cte_a
AS
(
SELECT #StartDate AS [Date], p.DeskID, p.ProductID, ISNULL(a.Amount,0) AS Amount
FROM (
SELECT t.DeskID, t.ProductID
, MAX(t.Date) AS FirstDate
FROM Table1 t
WHERE t.Date <= #StartDate
GROUP BY t.DeskID, t.ProductID) f
INNER JOIN Table1 a
ON f.DeskID=a.DeskID
AND f.ProductID=a.ProductID
AND f.[FirstDate]=a.[Date]
RIGHT JOIN cte_p p
ON p.DeskID=a.DeskID
AND p.ProductID=a.ProductID
UNION ALL
SELECT DATEADD(DAY,1,a.[Date]) AS [Date], t.DeskID, t.ProductID, t.Amount
FROM Table1 t
INNER JOIN cte_a a
ON t.DeskID=a.DeskID
AND t.ProductID=a.ProductID
AND t.[Date] > a.[Date]
AND t.[Date] <= DATEADD(DAY,1,a.[Date])
WHERE a.[Date]<#EndDate
UNION ALL
SELECT DATEADD(DAY,1,a.[Date]) AS [Date], a.DeskID, a.ProductID, a.Amount
FROM cte_a a
WHERE NOT EXISTS(SELECT 1 FROM Table1 t
WHERE t.DeskID=a.DeskID
AND t.ProductID=a.ProductID
AND t.[Date] > a.[Date]
AND t.[Date] <= DATEADD(DAY,1,a.[Date]))
AND a.[Date]<#EndDate
)
SELECT [Date], DeskID, SUM(Amount)
FROM cte_a
GROUP BY [Date], DeskID;
I am trying to add a 'Total' row after each Unique CustomerName. I have tried ROLLUP and it does not seem to work properly because of the amount of fields i am trying to group by. An example of what i am looking for would pseudo be
(
FlavorName('Total'), 2016Sales (Sum of total sales), 2017Sales (Sum of total sales), 2016TotalPounds (Sum of total pounds), 2017TotalPounds (Sum of total pounds))
Please find my current code below.
WITH cte AS (SELECT CustName AS CustomerName, ItemKey AS CICode, Description AS FlavorName, CASE WHEN InvoiceDate BETWEEN '2016-01-01' AND
'2016-12-31' THEN SUM(LineNet) ELSE 0 END AS [2016TotalSales], CASE WHEN InvoiceDate BETWEEN '2017-01-01' AND getdate() THEN SUM(LineNet)
ELSE 0 END AS [2017TotalSales], CASE WHEN InvoiceDate BETWEEN '2016-01-01' AND '2016-12-31' THEN ROUND(SUM(QtyOrd), 2)
ELSE 0 END AS [2016TotalPounds], CASE WHEN InvoiceDate BETWEEN '2017-01-01' AND getdate() THEN ROUND(SUM(QtyOrd), 2)
ELSE 0 END AS [2017TotalPounds], BasePrice, SUBSTRING(CAST(InvoiceDate AS nvarchar(50)), 8, 5) AS year, UOM
FROM dbo.ABC
GROUP BY CustName, ItemKey, Description, BasePrice, InvoiceDate, UOM)
SELECT TOP (100) PERCENT CustomerName, CASE WHEN CICode IS NULL THEN 'ALL' ELSE CICode END AS CICode, CASE WHEN BasePrice IS NULL
THEN 'TOTALS' ELSE FlavorName END AS FlavorName, SUM([2016TotalSales]) AS [2016Sales], SUM([2017TotalSales]) AS [2017Sales], SUM([2016TotalPounds])
AS [2016TotalPounds], ROUND(SUM([2017TotalPounds]), 2) AS [2017TotalPounds], UOM, ISNULL(ROUND((SUM([2017TotalPounds]) - SUM([2016TotalPounds]))
/ NULLIF (SUM([2016TotalPounds]), 0) * 100, 2), 100) AS [%Change], BasePrice
FROM cte AS cte_1
GROUP BY CustomerName, CICode, FlavorName, BasePrice, UOM
HAVING (SUM([2016TotalSales]) + SUM([2017TotalSales]) > 0)
Try GROUPING SETS:
GROUP BY GROUPING SETS ( (CustomerName, CICode, FlavorName, BasePrice, UOM), (CustomerName) )
You may have to play with ORDER BY to get the results in the particular order that you want.
I have the following query which takes in the opps and calculates the duration, and revenue for each month. However, for some locations, where there is no data, it is missing some months. Essentially, I would like all months to appear for each of the location and record type. I tried a left outer join on the calendar but that didn't seem to work either.
Here is the query:
;With DateSequence( [Date] ) as
(
Select CAST(#fromdate as DATE) as [Date]
union all
Select CAST(dateadd(day, 1, [Date]) as Date)
from DateSequence
where Date < #todate
)
INSERT INTO CalendarTemp (Date, Day, DayOfWeek, DayOfYear, WeekOfYear, Month, MonthName, Year)
Select
[Date] as [Date],
DATEPART(DAY,[Date]) as [Day],
DATENAME(dw, [Date]) as [DayOfWeek],
DATEPART(DAYOFYEAR,[Date]) as [DayOfYear],
DATEPART(WEEK,[Date]) as [WeekOfYear],
DATEPART(MONTH,[Date]) as [Month],
DATENAME(MONTH,[Date]) as [MonthName],
DATEPART(YEAR,[Date]) as [Year]
from DateSequence option (MaxRecursion 10000)
;
DELETE FROM CalendarTemp WHERE DayOfWeek IN ('Saturday', 'Sunday');
SELECT
AccountId
,AccountName
,Office
,Stage = (CASE WHEN StageName = 'Closed Won' THEN 'Closed Won'
ELSE 'Open'
END)
,Id
,Name
,RecordType= (CASE
WHEN recordtypeid = 'LAS1' THEN 'S'
END)
,Start_Date
,End_Date
,Probability
,Estimated_Revenue_Won = ISNULL(Amount, 0)
,ROW_NUMBER() OVER(PARTITION BY Name ORDER BY Name) AS Row
--,Revenue_Per_Day = CAST(ISNULL(Amount/NULLIF(dbo.CalculateNumberOFWorkDays(Start_Date, End_Date),0),0) as money)
,YEAR(c.Date) as year
,MONTH(c.Date) as Month
,c.MonthName
--, ISNULL(CAST(Sum((Amount)/NULLIF(dbo.CalculateNumberOFWorkDays(Start_Date, End_Date),0)) as money),0) As RevenuePerMonth
FROM SF_Extracted_Opps o
LEFT OUTER JOIN CalendarTemp c on o.Start_Date <= c.Date AND o.End_Date >= c.Date
WHERE
Start_Date <= #todate AND End_Date >= #fromdate
AND Office IN (#Location)
AND recordtypeid IN ('LAS1')
GROUP BY
AccountId
,AccountName
,Office
,(CASE WHEN StageName = 'Closed Won' THEN 'Closed Won'
ELSE 'Open'
END)
,Id
,Name
,(CASE
WHEN recordtypeid = 'LAS1' THEN 'S'
END)
,Amount
--, CAST(ISNULL(Amount/NULLIF(dbo.CalculateNumberOFWorkDays(Start_Date, End_Date),0),0) as money)
,Start_Date
,End_Date
,Probability
,YEAR(c.Date)
,Month(c.Date)
,c.MonthName
,dbo.CalculateNumberOFWorkDays(Start_Date, End_Date)
ORDER BY Office
, (CASE
WHEN recordtypeid = 'LAS1' THEN 'S'
END)
,(CASE WHEN StageName = 'Closed Won' THEN 'Closed Won'
ELSE 'Open'
END)
, [Start_Date], Month(c.Date), AccountName, Row;
I tried adding another left outer join to this and using this a sub query and the join essentially on the calendar based on the year and month, but that did not seem to work either. Suggestions would be extremely appreciated.
--Date Calendar for each location:
;With DateSequence( [Date], Locatio) as
(
Select CAST(#fromdate as DATE) as [Date], oo.Office as location
union all
Select CAST(dateadd(day, 1, [Date]) as Date), oo.Office as location
from DateSequence dts
join Opportunity_offices oo on 1 = 1
where Date < #todate
)
--select result
INSERT INTO CalendarTemp (Location,Date, Day, DayOfWeek, DayOfYear, WeekOfYear, Month, MonthName, Year)
Select
location,
[Date] as [Date],
DATEPART(DAY,[Date]) as [Day],
DATENAME(dw, [Date]) as [DayOfWeek],
DATEPART(DAYOFYEAR,[Date]) as [DayOfYear],
DATEPART(WEEK,[Date]) as [WeekOfYear],
DATEPART(MONTH,[Date]) as [Month],
DATENAME(MONTH,[Date]) as [MonthName],
DATEPART(YEAR,[Date]) as [Year]
from DateSequence option (MaxRecursion 10000)
;
you have your LEFT JOIN backwards if you want all records from CalendarTemp and only those that match from SF_Extracted_Opps then you the CalendarTemp should be the table on the LEFT. You can however switch LEFT JOIN to RIGHT JOIN and it should be fixed. The other issue will be your WHERE statement is using columns from your SF_Extracted_Opps table which will just make that an INNER JOIN again.
here is one way to fix.
SELECT
.....
FROM
CalendarTemp c
LEFT JOIN SF_Extracted_Opps o
ON o.Start_Date <= c.Date AND o.End_Date >= c.Date
AND o.Start_Date <= #todate AND End_Date >= #fromdate
AND o.Office IN (#Location)
AND o.recordtypeid IN ('LAS1')
The other issue you might run into is because you remove weekends from your CalendarTemp Table not all dates are represented I would test with the weekends still in and out and see if you get different results.
this line:
AND o.Start_Date <= #todate AND End_Date >= #fromdate
should not be needed either because you are already limiting the dates from the line before and values in your CalendarTempTable
A note about your CalendarDate table you don't have to go back and delete those records simply add the day of week as a WHERE statement on the select that populates that table.
Edit for All Offices you can use a cross join of your offices table with your CalendarTemp table to do this do it in your final query not the cte that builds the calendar. The problem with doing it in the CTE calendar definition is that it is recursive so you would have to do it in both the anchor and the recursive member definition.
SELECT
.....
FROM
CalendarTemp c
CROSS JOIN Opportunity_offices oo
LEFT JOIN SF_Extracted_Opps o
ON o.Start_Date <= c.Date AND o.End_Date >= c.Date
AND o.Start_Date <= #todate AND End_Date >= #fromdate
AND oo.office = o.Office
AND o.recordtypeid IN ('LAS1')
I have a table containing the following line:
I'd like to create a view that displays the following result (without changing my original table) :
For each line having the same id,day,month and year I'd like to leave a single line with the cost and count and insert 0 in the others.
Here is a portable approach not requiring PARTITION. I have assumed you will not have the same datetimeIN value for more than one row in a group:
select t.id, t.day, t.month, t.year,
case when tm.id is null then 0 else t.cost end as cost,
case when tm.id is null then 0 else t.Count end as Count,
t.datetimeIN, t.datetimeOUT
from MyTable t
left outer join (
select id, day, month, year, min(datetimeIN) as minIN
from MyTable
group by id, day, month, year
) tm on t.id = tm.id
and t.day = tm.day
and t.month = tm.month
and t.year = tm.year
and t.datetimeIN = tm.minIN
You can do something like this:
SELECT id, day, month, year,
CASE WHEN nNum = 1 then cost else 0 end as cost,
CASE WHEN nNum = 1 then "Count" else 0 end as "Count",
datetimeIN, datetimeOUT
FROM (
SELECT id, day, month, year,
cost, "Count", datetimeIN, datetimeOUT,
row_number() OVER (PARTITION BY id, day, month, year
ORDER BY datetimeIN) as nNum
FROM TableName
) A
It uses row_number() to number the rows, and then a CASE statement to single out the first one and make it behave differently.
See it working on SQL Fiddle here.
or, using a common table expression:
with commonTableExp ([day], [month], [year], minDate) as (
select [day], [month], [year], min(datetimeIn)
from #temp
group by [day], [month], [year])
select id,
dt.[day],
dt.[month],
dt.[year],
case when datetimein = minDate then [cost] else 0 end,
case when datetimein = minDate then [count] else 0 end,
dateTimeIn
from #temp dt join commonTableExp cte on
dt.[day] = cte.[day] and
dt.[month] = cte.[month] and
dt.[year] = cte.[year]
order by dateTimeIn
Query
Select id, [day], [month], [year], Case When K.RowID = 1 Then [cost] Else 0 End as Cost, Case When K.RowID = 1 Then [count] Else 0 End as [count], [DateTimeIN], [DateTimeOut] From
(
select ROW_NUMBER() Over(Partition by id, [day], [month], [year] Order by ID ) as RowID, * From Testing
)K
Drop table Testing
Click here to see SQL Profiler details for Red Filter's Query
Click here to see SQL Profiler details for my Query
For More Information You can see SQL Fiddle