How To Include Months Not In The Records??

Oct 19, 2005

Hi,I have 2 tables created. One is the Sale Persons (PersonID, PersonName) and the other is the Sales Detail (PersonID, Month, Year, TotalSales)PersonID | PersonName                  PersonID | Month | Year | Total Sales==================                ==================================ID1         | Sally                              ID1         | 1         | 2005 | 1000ID2         | David                             ID2         |  2        | 2005  | 1500Is it possible to write in a SQL statement to return all the sales person & the total sales for the 12 months for a particular year (even though some month data are not in the table)I would like the result to be like the following:PersonID | Month | Year  | Total Sales===================================ID1         | 1         | 2005  | 1000ID1         | 2         | 2005  | 0ID1         | 3         | 2005  | 0(For month 4 - 12) Total Sales will be 0 too as no records exist in the first placeID2         | 1         | 2005  | 0ID2         | 2         | 2005  | 1500.......... 

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I also want to include the following instead of running it one at a time

PH17523    
PH17524    
PH17525    
PH17553    
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PH17556    
PH17557    
PH17558    
PH17571    
PH17573    
PH17574    
PH17575    
PH17576    
PH17577    
PH1757

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Jul 29, 2015

My case is I have customers with multiple ordering dates, I'll to run a query to pull only records within 2 months period based on the previous picking records. Ex is below:

create table #tmp_CusttInfo
(patID varchar(20),
enc_date datetime)
go
insert into #tmp_CustInfo
select '111','2015-01-01 09:25:05.000'

[Code] ...

I'd like to get:

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111 2015-01-01 09:25:05.000
111 2015-03-01 09:25:05.000
111 2015-05-01 09:25:05.000
222 2015-01-01 09:25:05.000
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222 2015-05-01 09:25:05.000

Is that possible.

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1111 | 01-Jan-2015 | 1
1111 | 06-Jan-2015 | 2
1111 | 30-Jan-2015 | 3
1111 | 05-Apr-2015 | 4
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As you can see, the last visit would counts as 3rd because 180 days from 07-Jul-2015 would be Jan-8-2015.

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Oct 7, 2015

I have a challenge and I'm not sure the best route to go. Consider the following dataset.

I have a table of sales. The table has fields for customer number and date of sale. There are 1 - n records for a customer. What I want is a record per customer that has the customer number and the average number of months between purchases. For example, Customer 12345 has made 5 purchases.

CustomerNumber SalesDate
1234 05/15/2010
1234 10/24/2010
1234 02/20/2011
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What I want to know is the average number of months between the purchases. And do this for each customer.

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I have the following table



FeedBack Type Date

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tes3 negative 03/01/08

.. ....



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1 month, 6 months, 12 months



How can I accomplish that?
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Mar 20, 2014

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556868 1999-01-01 1999-06-30
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556869 2002-10-01 2004-01-31
556872 1999-02-01 2000-08-31
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output should be ......

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Location Attendance Showings
======== ========== ========
JOHNS 210 3
SEREN 116 2
total 326 5

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X55677 R 2
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F66889 S 9
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Code table
S
R
T

Not sure if the code table even helps. What I want to do is show all three transactions for each employee even if they don't have any (would be zero) like so...

Emp Trans Tot...
X55677 S 8
X55677 R 2
X55677 T 0
C22887 S 4
C22887 T 3
C22887 R 0
F66889 S 9
F66889 R 4
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select *
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Hi, I have the following query stored:

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Basically, it will return a load of results grouped by product for how much qty of that product was sold per week during a date range...

As my client wants to select multiple products at once to compare rather than do it in my application (I'm building something in ASP), I thought I might be able to do it on the database side.



The problem with the above is that.. lets say I select a date range that has weeks 1-4 in it.

Product 1 only sold qty's for weeks 1-2, product 2 sold for only week 3 and product 4 sold in all four weeks.

I'd get

Prod | Qty | Week

1 23 1

1 12 2

2 10 3

3 22 1

3 15 2

3 12 3

3 4 4

Although this looks fine - what I actually need is:

1 23 1

1 12 2

1 0 3

1 0 3

2 0 1

2 0 2

2 10 3

2 0 4

3 22 1

3 15 2

3 12 3

3 4 4

Does that make sense?



Any ideas on how to do this?



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