Re: Need help building this query

From: "Oliver d'Azevedo Christina" <oliveiros(dot)cristina(at)asperger-talents(dot)com>
To: "Rihad" <rihad(at)stream(dot)az>, <pgsql-sql(at)postgresql(dot)org>
Subject: Re: Need help building this query
Date: 2012-06-21 18:50:30
Message-ID: 40E3F24438264205B10395EFCEE492AD@Moon
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For matching triples (foo, bar, baz) the date in table B shouldnt always be
after any date in table A, as table B contains complete operations?

Best,
Oliver

----- Original Message -----
From: "Rihad" <rihad(at)stream(dot)az>
To: <pgsql-sql(at)postgresql(dot)org>
Sent: Thursday, June 21, 2012 6:48 PM
Subject: [SQL] Need help building this query

> Hi, folks. I currently need to join two tables that lack primary keys, and
> columns used to distinguish each record can be duplicated. I need to build
> statistics over the data in those tables. Consider this:
>
>
> TableA:
> row 1: foo: 123, bar: 456, baz: 789, amount: 10.99, date_of_op: date
> row 2: foo: 123, bar: 456, baz: 789, amount: 10.99, date_of_op: date
> row 3: foo: 123, bar: 456, baz: 789, amount: 10.99, date_of_op: date
>
> TableB:
> row 1: foo: 123, bar: 456, baz: 789, amount: 10.99, date_of_op: date
>
>
> Columns foo + bar + baz are used to distinguish a performed "operation":
> TableA.date_of_op isn't, because it can lag behind TableB.
>
> Not all different "operations" are in table B.
> Table B is just there so we know which "operations" are complete, so to
> speak (happening under external means and not under any of my control).
>
> Now, for each operation (foo+bar+baz) in table A, only *one* row should be
> matched in table B, because it only has one matching row there.
> The other two in TableA should be considered unmatched.
>
> Now the query should be able to get count(*) and sum(amount) every day for
> that day, considering that matched and unmatched operations should be
> counted separately. The report would look something like this:
>
> TableA.date_of_op TableB.date_of_op
> 2012-06-21 [empty] [count(*) and sum(amount)
> of all data in TableA for this day unmatched in TableB]
> 2012-06-21 2012-06-20 [count(*) and sum(amount) of
> all data in TableA matched in TableB for the 20-th]
> 2012-06-21 2012-06-19 [count(*) and sum(amount) of
> all data in TableA matched in TableB for the 19-th]
>
>
> Can this awkward thing be done in pure SQL, or I'd be better off using
> programming for this?
>
> Thanks, I hope I could explain this.
>
> --
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