Combine two datasets in SSRS report?

  • I reallly feel like this is something that is simple, but I'm completely missing the logic.

    I have a report I'm building, a report of SKU numbers with sold and returned qtys by date. The info comes from 2 views, so I have two datasets. They look like this:

    SOLD:

    ENTRY_DT

    STK_NBR

    STK_DESC

    QTY_SOLD

    RETURNS:

    ENTRY_DT

    STK_NBR

    STK_DESC

    QTY_RET

    I want the user to be able to run a report with start date and end date, and get the the total sold and returned, for each item. So in this case the ENTRY_DT and the STK_NBR have to match, and then sum the QTY fields of each.

    Maybe I've been at this too long, I just can't get it.

    Tammy

  • TAMMYAUDETTE (4/14/2010)


    I reallly feel like this is something that is simple, but I'm completely missing the logic.

    I have a report I'm building, a report of SKU numbers with sold and returned qtys by date. The info comes from 2 views, so I have two datasets. They look like this:

    SOLD:

    ENTRY_DT

    STK_NBR

    STK_DESC

    QTY_SOLD

    RETURNS:

    ENTRY_DT

    STK_NBR

    STK_DESC

    QTY_RET

    I want the user to be able to run a report with start date and end date, and get the the total sold and returned, for each item. So in this case the ENTRY_DT and the STK_NBR have to match, and then sum the QTY fields of each.

    Maybe I've been at this too long, I just can't get it.

    Tammy

    You might want to look into Join Fundamentals in BOL.

    Basically,you would join the two tables together.

    If the RETURNS will always have an entry for every day that there is one in SOLD, then the below query is fine. If you can have entries in SOLD without entries in RETURNS, change the "JOIN" to "LEFT JOIN".

    SELECT SOLD.Entry_Dt,

    SOLD.STK_NBR,

    SOLD.QTY_SOLD,

    [RETURNS].QTY_RTN

    FROM SOLD

    JOIN [RETURNS]

    ON SOLD.Entry_Dt = [RETURNS].Entry_Dt

    AND SOLD.STK_NBR = [RETURNS].STK_NBR

    WHERE SOLD.Entry_Dt >= @StartDt

    AND SOLD.Entry_Dt < @EndDt

    Wayne
    Microsoft Certified Master: SQL Server 2008
    Author - SQL Server T-SQL Recipes


    If you can't explain to another person how the code that you're copying from the internet works, then DON'T USE IT on a production system! After all, you will be the one supporting it!
    Links:
    For better assistance in answering your questions
    Performance Problems
    Common date/time routines
    Understanding and Using APPLY Part 1 & Part 2

  • Thanks for the quick reply!

    Makes total sense, appreciate the link too.

    Tammy

  • Tammy,

    Glad to be able to help you out. We know you're an "accidental DBA", and most people here will try to help you out.

    One reason some people won't help out is if you don't try to help us help you... by that I mean posting table definitions/sample data in a format where they can just cut-and-paste to start helping you out. Please see the first link in my signature for how to do this. In addition, please enclude what you expect to see for results based on the sample data provided.

    Back to your issue...

    If you can have data in the SOLD table without data in the RETURNS table for that date/stk #, then you need to change the join to a left join (already mentioned). If you can ALSO have data in the RETURNS table without data in the SOLD table for that date/stk #, then come back and ask... it gets a bit more complicated.

    Wayne
    Microsoft Certified Master: SQL Server 2008
    Author - SQL Server T-SQL Recipes


    If you can't explain to another person how the code that you're copying from the internet works, then DON'T USE IT on a production system! After all, you will be the one supporting it!
    Links:
    For better assistance in answering your questions
    Performance Problems
    Common date/time routines
    Understanding and Using APPLY Part 1 & Part 2

  • Thanks for the tips! You're right, I can see why that would make it easier to assist me. I'll most definitely keep that link and info handy!

    Thanks Wayne 🙂

    Tammy

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