I ran the following but only received the top 3 sales.
with cte as (
select SALESMAN_ID,
ORDER_NO,
ORDER_TOTAL,
rank() over (partition by order_no
[Code] ....
results:
salesman_idorder_noorder_total
BF 9389037333.86
BF 8630094288.59
BF 8630813491.90
How can I get top 3 sales per salesmanid:
My Table struct
create table cust
(
cust_id int ,
city varchar(20),
pincode int,
sales int,
latitude float,
longitude float
[code]....
like i wanna display each pincodes how to make a code?
I found next script for batch item allocation based on FEFO/FIFO method (according to DateCol interpretation) :
DECLARE @Table TABLE
(
RowID int identity Primary Key,
DOCTYPE varchar(40),
DateCol datetime,
[Code] ....
The result looks like :
RowIDDOCTYPEDateCol QTYPRDLOT
1 Purchase2007-01-01 00:00:00.0000AA2007FW
2 Sale 2007-01-03 00:00:00.000-30AA2007FW!2007SS
3 Purchase2007-01-04 00:00:00.00020AA2007SS
4 Sale 2007-01-04 00:00:00.000-20AA2007SS
5 Purchase2007-01-09 00:00:00.00010AA2007FW
The issue is on the second line. What I need is to split that record in 2 or more lines, every line containing one single lot record.
i am trying to find a way to link an 'initial' Sale ID of a product to 'future' Sale IDs of products that will trace back to the original Sale ID.For example, if I call the original sale , 'Sale ID #123', how can i link future Sale ID's (child[ren]) and all future sales to the original Sale ID #123? Can I use a Surrogate Key or similar function?
Parent:Sale ID #123
Children: Sale ID # 456,
Sale ID #789,
Sale ID #.....
how I can link the original Sales ID (Parent) to Sale ID's (child[ren]) of future purchases currently existing and in the future going forward?
I have the below data. I need to produce a report that shows customer and total sales who had the max sales by year.
Order ID Cust ID Year Sales
O1 C1 2000 100
O2 C1 2000 150
O1 C2 2000 50
O1 C1 2001 150
O2 C3 2001 200
Report:
Cust ID Year Sales
C1 2000 250
C3 2001 200
I want to calculate the sum of actual sales until a date and forecast sales after a date.I am not sure what the best approach to this problem is, but I have tried my best with the following approach. Any better ways to solve this (using DAX).
I have created a parameter table that offers the last date of each month as possible choices to the user. I have tried to create a measure that sums actual sales up until this date.
SalesQuantityActual:=IF(HASONEVALUE(parLastActualMonth[Date]);CALCULATE(factSalesActual[Quantity];factSalesActual[Date]<=VALUES(parLastActualMonth[Date]));BLANK())
Unfortunately the measure above does not work.
In addition to the parameter table, I also have a normal date table.
I have a report which totals sales by customer. Then table footer has a grand total of all customer sales. I would like to get a percent of each customer's sales against the total sales. How do I get the sum from the table footer to use in an individual customer row?
Thanks.
Hi.
Im having a conceptual problem with tracking sales vs. call center calls.
Each record in the fact table represents a call to the call center.
In this record are various facts and foreign keys that map to marketing campaigns, etc.
The product sold ID is NULL on no sale, and filled in for a sale.
When creating MDX to retrieve data by campaign, for example, to track the number of calls for a campaign vs. its sales, that works fine (because theres a column labeled sale thats either 0 or 1 for the sale and I just sum it). This way I get the conversion percentage of calls to sales.
But when creating MDX to track the product sold, as soon as I do a crossjoin on campaign and products sold, for example, I lose the total calls- the number of calls is the same as the sales (similar results as a SQL join). Am I doing something wrong or is it conceptually impossible to track this type of metric down to the product when there are NULLs in the fact table? Ive tried converting the nulls to a NONE category, but that doesnt stop the crossjoin from not giving me the desired results, plus I then have to filter out NONE as a product.
Is that why a lot of sample warehouses have a separate sales cube?
Thank you,
Richard
I need to get the sum of sales for the last date of each month group by custom and by month(fecha)
for example, for custom ='q' in month=8 I have 3 items in the last day of the month ='2014-08-15' totalling 13 and so on
DECLARE @sales TABLE
(custom VARCHAR(10) NOT NULL,
fecha DATE NOT NULL,
sales NUMERIC(10, 2) NOT NULL);
INSERT INTO @sales(custom, fecha, sales)
VALUES ('q', '20140708', 51),
[Code] .....
I have a table tblSales ( DollarAmount,DateSold, Barcode --- ) in SQL MSDE 2000.
What I want is the Top 5 sales for EACH month:
Month TotalSales Barcode
2006-05 Top01 Barcode01
2006-05 Top02 Barcode02
2006-05 Top03 Barcode03
2006-05 Top04 Barcode04
2006-05 Top05 Barcode05
2006-04 Top11 Barcode11
2006-04 Top12 Barcode12
2006-04 Top13 Barcode13
2006-04 Top14 Barcode14
2006-04 Top15 Barcode15
2006-03 Top21 Barcode21
2006-03 Top22 Barcode22
---- --- ----
--- ---- ---
TopNN is SUM(DollarAmount).
I created a table AAAA and use a while loop to insert the data into AAAA.
What I did is:
declare @StartDate and @EndDate, set @StartDate and @EndDate
Delete AAAA
Begin
While (@EndDate<GetDate())
Begin
Insert into AAAA(sales, Month, Barcode)
Select TOP 5 SUM(DollarAmount) AS sales,
LEFT(CONVERT(CHAR(8),DateSold,112),4)+'-'+RIGHT(LEFT(CONVERT(CHAR(8),DateSold,112),6),2) AS Month,
Barcode
from tblSales
where something
group by something
order by sales1 DESC
increase @StartDate and @EndDate by a month
End
Select * from AAAA
It works fine. My question is: Can I get rid of table AAAA?
How can I use T-SQL only to get the correct sets?
Thanks in advance.
Long
I am quite newbie, really grateful for some help how to create a sql sentence in Reporting Services that would return the best sales person from each shop.. The following returns all the sales persons from each shop
So how to select the top sales person from each shop?
SELECT TOP (10) shop.name, SUM(Cd.Price) AS Sales, Personal.Name AS Salesperson
FROM Purchase INNER JOIN
Personal
ON Purchase.Salesperson_id = Personal.Personal_id RIGHT OUTER JOIN shop
ON Personal.work_id = shop.shop_id FULL OUTER JOIN
Cd ON Purchase.Cd_id = Cd.Cd_id
GROUP BY Shop.Name, Personal.Name
ORDER BY Sales DESC
Or something like this? But how in Rep.Services???
...LEFT OUTER JOIN (
SELECT P.work_id, P.Name, SUM(C.Price) AS TotalSale
FROM @Personal P
INNER JOIN @Purchase B
ON B.Salesperson_id = P.Personal_id
INNER JOIN @Cd C
ON C.Cd_id = B.Cd_id
GROUP BY P.Work_id, P.Name
) D
ON D.Work_id = S.Shop_id
Above says it. I'm trying to select a random 5% of sales for each salesman for the last day serviced. I've got it all down, but I can't get it down to salesman. I'm using a basic select:
name, address, order, order_id, etc where order_id in (select top 5 percent order_id from MYSERVER group by salesman, order_ID order by newid())
The actual statement's much longer and has more where statements, but the pertinent info is above. All I can manage to do is create very long-winded ways to pick a random 5% of all sales.
Hi,
I currently have a table whose DDL is as follows:
CREATE TABLE [tblSales] (
[OrderID] [int]
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[QtySold] [float] ,
[UnitPrice] [float] ,
[Discount] [float] ,
[GrossSaleAmount] NULL ,
[NetSaleAmount] [float]
)
The GrossSaleAmount and NetSaleAmount are calculated fields. But for this post, kindly ignore why I am storing calcuated fields...
QUESTION:
What I want to do is to populate another table (the DDL of which is give below) from tblSales in such a manner that the TOTAL sales from each product for each available
date is grouped/summed together.
CREATE TABLE [tbl_Product_Grouped_Sales] (
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[TotalQtySold] [float] ,
[NetSaleAmt] [float]
)
Thanks in advance for your help.
Let say I have this table in MS SQL server
table transaction(date,sales)
how to query to get result like this (date,sales,sum(sales last 7 day))
I'm thinking about using self join, but it means I must have to self join 7 times to get the total sales for the last 7 day. Is there any better way to do this? or maybe special function within MS SQL server.
note: i'm not looking for total sales per week group by each week, but total last 7 day sales for each day
thanks
hello,
I need to write a query based on the top MTD sales in the series of each fabrics within series of Sales Group and Prod Group
Order by: Sales Group (alphabetical ord) , Prod Group (alphabetical ord) , sort Fabric Group based on the TOP MTD sales
Sales Gr: Active
Prod gr: Adult, Girls, Plus, LG
Fabric Gr: 1,2,3,4,5,6,7,8,...
Sales Gr: Dance
Prod gr: Adult, Girls, Plus, LG
Fabric Gr: 1,2,3,4,5,6,7,8,...
Sales Gr: Yoga
Prod gr: Adult, Girls, Plus
Fabric Gr: 1,2,3,4,5,6,7,8,...
Thank you
My main datasource is a rather poorly written and documented SQL database. I am currently working in SQL Server 2000 but will be upgrading to 2005 in 6 months to a year. There are three sales order tables.
SOMAST Sales Order Master Table
SOITEMS SO Items Table
SORELS SO Releases Table
My employer wants to track how our sales orders change over time. This would be a nightly process. They want to track changes in certain columns such as price and quantity to see if they differed from yesterday and to keep those changes separate in another table or set of tables to track them. This of course would include newly entered sales orders for that day as well. Our current erp system does not support this.
This seems like a huge task to a neophyte like myself, but I am tasked with doing this. Am I correct in assuming the correct method would be a stored procedure that does the following:
1. Check the current tables at end of day today and compare them with a saved version of yesterday's tables.
2. Insert into a 3rd table (or set of them) the differences.
3. Copy today's tables over yesterday's tables so they are available tomorrow.
I realize this task is difficult, but am I at least starting in the right direction?
Experts Only Please. (jk)
Looking for sql query for this requirement output and default get the current day and time as day 7 with count start of 7 day before. Today is Sun. Thus start day is last sun.
now the time is 22:00 & group by shop plus underline +24 hour format
Sun Mon Tue Wed Thur Fri Sat Sun Total
Shop A 20:00-21:00 $2 $10 $15 $5 $2 $10 $0 $100 $xxx
Shop A 21:00-22:00 $1 $10 $15 $5 $2 $10 $0 $100 $xxx
Shop A 22:00-23:00 $1 $10 $15 $5 $2 $10 $0 $no sales $xxx
Total $4 $20 $30 $10 $4 $20 $0 $200 $xxx
-------------------------------------------------------------------
Shop Z 22:00-23:00 $20 $15 $5 $2 $10 $0 $no sales $xxx
Shop Z 23:00-00:00 $10 $15 $5 $2 $10 $0 $no sales $xxx
Total $30 $30 $10 $4 $20 $0 $no sales $xxx
I have a salesman file and a sales history file.
I want to list all Salesman in the Salesman file along with there sales. If there is no record in the sales file I still want to see the salesman listed.
I've tried this but it doesn't seem to work. The code below is only listing salesman if they have sales in period 10.
select s.humres_id , sum(q.Sales) as Sales, sum(q.Cost)as cost
from arslmfil_SQL s left outer join QIVSalesMTDYTDCustSalesPerson Q on s.humres_id = q.slspsn_no
where Year=2014 and Period = 10
group by s.humres_id
It's been a long time since I've built tough queries and need some help.
I need to report all sales that happened within a quarter but were reported after the quarter end.
Quarters
Q1 - 1/1 thru 3/31
Q2 - 4/1 thru 6/30
Q3 - 7/1 thru 9/30
Q4 - 10/1 thru 12/31
Sample Data
ticketid salespersonid saledate sale_entereddate
1234 bsmith 1/1/2006 2/1/2006
1235 jgarcia 3/31/2006 4/1/2006
1236 bsmith 1/1/2006 2/3/2006
1237 jdoe 6/23/2006 7/1/2006
1238 bsmith 8/5/2006 8/6/2006
1239 bsmith 10/1/2006 1/1/2007
Hi,
We are trying to forcast product sales for next three months based on their sales for previous 12 months. In this case, Microsoft Time Series algorithm requires the sales data to be present for each product for past 12 months (???). However, our products have typical life span of 6 months and obviously the new products will not have sales before they were added. Any help will be very much appreciated.
Thanks
Riju
Hi,
I have 2 dimensions Time and Product....
If I stay at the Year level (say 2004), I get the Year To Date Sales for the selected Product(s)... However when I "zoom into" the Time dimension and select, say, Quarter 2, I get the Sales only for Quarter 2 of the selected Product(s). This is fine but at the same time I also want to see the Year To Date Sales of the selected Products. I hope my post is clear? Let me add a little example to clarify this further and will really appreciate your help:
Suppose I have selected ALL products and have selected Quarter 2 of 2004. I want the following results (Note it's really the YTD column that I am after):
Total Sales YTD Sales
----------- ----------
$ 50,000 $ 125,000
Again, I'll appreciate your help in writing the MDX for this.
Can't remember which is the best way....
Does transaction table have a PK?!
table details:
order_no - fk (from orders table)
company - fk (from orders table)
product fk (from stock table)
whse fk (from stock table)
qty
price
should i have a unique_no column so that there is a pk?!
Thanks!
Hi,
I currently have a table whose structure is as follows:
CREATE TABLE [tblSales] (
[OrderID] [int]
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[QtySold] [float] ,
[UnitPrice] [float] ,
[Discount] [float] ,
[GrossSaleAmount] NULL ,
[NetSaleAmount] [float]
)
The GrossSaleAmount and NetSaleAmount are calculated fields. But for this post, kindly ignore why I am storing calcuated fields...
QUESTION:
What I want to do is to populate another table (the DDL of which is give below) from tblSales in such a manner that the TOTAL sales from each product for each available date is grouped/summed together.
[blue]CREATE TABLE [tbl_Product_Grouped_Sales] (
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[TotalQtySold] [float] ,
[NetSaleAmt] [float]
)
Thanks in advance for your help.
I know this is an easy one, but for some reason i keep gettin the wrong results.
This displays something like this :
Question_description Visit_Activity_Id SR_Name
Vacation 5 Judy Smith
Sick 2 Judy Smith
Visit 1 Tom Mathews
Training 3 Karen Williams
But i want it to show all the SR_Name's ..like this:
Question_description Visit_Activity_Id SR_Name
Vacation 5 Judy Smith
Sick 2 Judy Smith
Visit 1 Tom Mathews
Training 3 Karen Williams
NULL null Tom Jones
NULL null Kim Jones
NULL null Jon Travis
Any help will be grately appreciated! thanks!
Code Block
ALTER PROCEDURE [dbo].[PROC_RPT_SR_DAILY_ACTIVITIES]
(@Region_Key int=null, @Daily_activity_statistics_datetime datetime )
AS
BEGIN
SELECT Customer.Name as Store_Name,
Tbl_Daily_Activity_Statistics.SR_Code,
Tbl_Daily_Activity_Statistics.Territory_Code,
Tbl_Daily_Activity_Statistics.Customer_code,
Tbl_Daily_Activity_Statistics.in_progress_time,
Tbl_Daily_Activity_Statistics.completed_time,
Tbl_Daily_Activity_Statistics.Visit_Activity_Id,
Tbl_Daily_Activity_Statistics.dial_in_datetime,
Tbl_Daily_Activity_Statistics.question_code,
tbl_Questions_to_RC_Question.RC_Question_description,
Qry_Sales_Group.SR_Name, dbo.Qry_Sales_Group.Region,
Qry_Sales_Group.Region_Key,
Tbl_Daily_Activity_Statistics.Daily_activity_statistics_datetime
FROM Tbl_Daily_Activity_Statistics
INNER JOIN tbl_Questions_to_RC_Question
ON Tbl_Daily_Activity_Statistics.question_code = tbl_Questions_to_RC_Question.question_code
INNER JOIN Qry_Sales_Group
ON Tbl_Daily_Activity_Statistics.SR_Code = Qry_Sales_Group.SalesPerson_Purchaser_Code COLLATE Latin1_General_CI_AS
LEFT OUTER JOIN customer
ON dbo.Tbl_Daily_Activity_Statistics.Customer_code = dbo.customer.customer_code
WHERE Region_key=@Region_key AND Daily_activity_statistics_datetime = @Daily_activity_statistics_datetime
END
I have few more clarification regarding time series.
Firstly
In my model the month level product sales value represented across 1st day of every month. So that the key time column is of datetime datatype containing a sequence of dates representing the 1st day of every month of the year.
Eg: 2006-01-01, 2006-02-01. etc. all in (yy-mm-dd) format
But
when I make prediction for next five months, though it makes monthly
predictions the date part for the months are random whereas I expect
the date part to be 1st of every month. What is the reason for this and how can I overcome it.
Secondly
Predicted
sales values for some time period are negative though I do not have any
negative value in the training data. What is the reason for this and
how can I rectify it?
Thirdly
In
one of your earlier posts you had said that the time series algorithm
does not have any built in time intelligence but uses the key time
column as a time sequence stamp. So If have to make predictions for a
particular time period where the time slice for each time period is 25
days or 50 days etc, then I understand that the input data used to
train the model should be in the same time sequence.
Or
Can I specify the span of the time period according to which the prediction needs to be made?
Basically
how can I use the same time series model to make monthly, yearly,
quarterly, daily or predictions or for custom time period like I have
mentioned above.
I'm trying to make a parameter in SSRS that defaults to most recent date with sales. Below gives me all dates with sales. How can I get the results to give me just the most recent? I've tried MAX and LastChild in a couple different ways but no luck.
WITH
MEMBER [Measures].[ParameterCaption] AS [Time].[Date].CURRENTMEMBER.MEMBER_CAPTION
MEMBER [Measures].[ParameterValue] AS [Time].[Date].CURRENTMEMBER.UNIQUENAME
MEMBER [Measures].[ParameterLevel] AS [Time].[Date].CURRENTMEMBER.LEVEL.ORDINAL
SELECT
[Code] ....
Having tough time putting together an resultset that lists all potential items sold, wether or not they were actually sold, for each customer class, and store. I have two tables. The first table has the actual item sales data. The second table a list of the commodities that could be sold.
Table 1 - sales Table 2 - commodity
store id
contractor commodity
cust_class sort_com
Commodity active_flg
sell update_dt
cost
sort_com
update_dt,
What I need is to show in the output place holders all possible commodity items.
Existing results
Class
Agriculture
Agriculture
Business
Business
Business
Store
StoreA
StoreA
StoreB
StoreB
StoreB
commodity
Mouldings
Trinkets
Plants
Irrigation
Yard
sales
18.56
0.00
914.59
506.88
41.99
cost
8.90
0.00
630.08
340.64
26.36
sort_com
2
3
1
4
5
Desired Results
Class
Store
Commodity
Sales
Cost
sort_com
Agriculture
Agriculture
Agriculture
Agriculture
Agriculture
Business
Business
Business
Business
Business
StoreA
StoreA
StoreA
StoreA
StoreA
StoreB
StoreB
StoreB
StoreB
StoreB
Plants
Mouldings
Trinkets
Irrigation
Yard
Plants
Mouldings
Trinkets
Irrigation
Yard
18.56
0.00
914.59
506.88
41.99
8.90
0.00
630.08
340.64
26.36
1
2
3
4
5
1
2
3
4
5
Greatly appreciate help in getting correct output - thanks.
I have a table
Acct No Sales
1 90
2 129
3 1200
4 270
The table in real life has much more data and more columns. I want to be able to select Acct No and sum of sales for each band
Bands: <250 // 250-500 // 500-1000 // 1000+
I want to be able to get a table as below:
Account No // <250 // 250-500 // 500-1000 // 1000+
1 // 90 // 0 // 0 // 0
2 // 129 // 0 / / 0 // 0
2 // 0 // 0 / / 0 // 1200
2 // 0 // 270 / / 0 // 0
Is there any easy way of doing this?
Table name: ONIV
Columns:
Date: DocDate
Sales: DocTotal
I want to populate a line graph which would show the 7 days of the week on X-Axis and the sale on the Y-Axis.
Aim – Take the “One Month Figures”, look at the revenue start date, and calculate the sales by the “Contract Length”, broken down by the year in the “Revenue_State_Date”.
For Example
As the Revenue_State_Date starts on 01/01/2015, you have 12months of full trading in 2015, so you need to calculate 12 months of sales,
This needs to be spread out over the contract length
For eg
YearSales Months
2015£2,914,033.3312
2016£2,914,033.3312
2017£2,914,033.3312
2018£2,914,033.3312
2018£1,457,016.676
Total£13,113,150.0054
My query is
SELECT
[Total_Contract_Value__c] as TCV,
[Contract_Term__c] As Contract_Length,
[Revenue_Start_Date__c] as Revenue_State_Date,
[Total_Contract_Value__c]/[Contract_Term__c] as One_Month_Sales
FROM [FDMS].[Dan].[Raz_Reporting_LCS]
where ID = '006a0000015qcGsAAI'
Which produces following results
TCV £13,113,150.00
Contract_Length 54
Revenue_State_Date01/01/2015
One Month Figures £242,836.11
How to create a stored procedure, or many stored procedures for generating a monthly sales report in our company.
We have two tables:
ITEM_SALES which consists of:
Item_ID
Name
Store
Sales_Date
Sales_Price
Quantity
And then
ITEM_DISCOUNT which consists of:
Item_ID
Name
Store
Sales_Price
Date_From
Date_To
Explanation: After each month, our different stores will send us a report on which discounts they had. These discounts can vary from one, to many days and therefor we have the Date_From, Date_to.
To make this sales report, i need a procedure that first fetches all sales in ITEM_SALES, then checks all the discounts in ITEM_DISCOUNT and overwrites the ones that have similar Item_ID, Name, and Store for a selected period.
Example: So if a item originally had a sales_price on 99,- and then had a discount sales_price to 79,- for 2014-01-02 to 2014-01-10 it has to be overwritten for that period so the report shows the right numbers.
I am making a stored procedure for monthly sales. In the stored procedure we have a Discount. This discount can be fetched from three different tables. If the discount is not in id.rabatt, it should fetch from dp.rabatt, if its not there, it should fetch from ds.rabatt. So the first two ones can be empty, while the last one always has a discount..
Im having big trouble designing the WHEN part of the procedure.
CASE (
when
Isnull(id.rabatt, Isnull(u.rabatt, id.rabatt)) then..
when
Isnull(dp.rabatt, Isnull(x.rabatt, id.rabatt)) then..
when
Isnull(ds.rabatt, Isnull(y.rabatt, id.rabatt)) then..
end)
AS 'Discount',
The reason i have to use Isnull is that inside each Discount table, i also have two different discounts, one that lasts forever(2999) and one that have a selected period. Like i show here:
LEFT OUTER JOIN discount AS id
ON id.identifiers = isa.identifiers
AND id.store = BV.name
AND id.from_date <= isa.sales_date
AND id.to_date >= isa.sales_date
AND id.to_date < '2999-01-01'
LEFT OUTER JOIN discount AS u
ON u.identifiers = isa.identifiers
AND u.to_date = '2999-01-01'
The two others tables are designed in similar ways
I desire output by each hour of sales by different shop total with sales_datetime format is 20140831 22:30:xxx.
for example now is 23:05 then desire result is 23:00-23:05 of sale.
-----------------------------------------------------------------
select shopid,qty,amount from sales where sales_datetime>='hh:mm' and sales_datetime<='hh:mm' group by shop