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Home/ Questions/Q 369063
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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T13:53:01+00:00 2026-05-12T13:53:01+00:00

I’m working on an app where users enter pricing quotes. They want to be

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I’m working on an app where users enter pricing quotes. They want to be able to have multiple revisions of the quotes and have access to all of them to revise and view.

Currently the data is stored in a Quotes table that looks like this:

QuoteID (PK, autonumber)
data1, data2, data3 and so on.

QuoteID foreign keys to other tables for one to many relationships for details about the quote.

Is there a way to keep all of the revisions in the Quotes table AND handle revisions? This way, the FK relationships to other tables would not be broken.

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  1. Editorial Team
    Editorial Team
    2026-05-12T13:53:01+00:00Added an answer on May 12, 2026 at 1:53 pm

    Based on what you said and some gueses as to what else/what more you need, I came up with the following table structure outline (tables in ALLCAPS, columns in CamelCase; columns ending in Id are identities or suitable natural keys; where the ColumnId name matches that table name, it’s a primary key, otherwise it’s a foreign key into the referenced table):

    --  CUSTOMER  ----
    CustomerId
    
    --  QUOTE  ----
    QuoteId
    CustomerId
    Data1Id
    
    --  QUOTEREVISION  ----
    QuoteRevisionid
    QuoteId
    CreatedAt
    Data2Id
    Data3Id
    
    --  DATA1  ----
    Data1Id
    
    --  DATA2  ----
    Data2Id
    
    --  DATA3  ----
    Data3Id
    

    CUSTOMER records who can make quotes.

    QUOTE tracks a customer’s pricing quotes. One row for every given [whatever] that they’re entering quotes for.

    QUOTEREVISION records each quote revision they enter. When a Quote is first created, the first QuoteRevision will also be created. CreatedAt would be a dateimte, to keep track of when they occured. QuoteId + CreatedAt is the natural key for the table, so you might not need QuoteRevisionsId.

    DATA1, DATA2, DATA3, and others as needed contain the extra information. I configured Data1 to hold information relevant to the quote level–that is, the same fact would apply to each quote revision. Data2 and Data3 would contain data that could vary from revision to revision.

    I’ve no doubt there’s stuff in here that doesn’t apply to your problem, but hopefully this gives you some ideas for possible solutions.

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