Hey, Loredana.
Nice to "see" you too ;-)

Thank you for your detailed clarifications.

Hmm...try to add the following clause to your INNER JOIN
AND A.date = B.Date

Like this :

INNER JOIN view_sent_messages B
             ON A.theme=B.theme
           AND A.receiver=B.receiver
            AND A.date = b.Date
           AND B.date=ANY (A.dates)

I have not your data here, so I am not sure if it'll work.
Also, Ive never worked with vectors on Postgres. I am assuming ANY() returns
true if B.date is on the vector A.dates, is this correct??

Loredane, Then please let me hear bout the result

Best,
Oliveiros


2007/6/5, Loredana Curugiu <[EMAIL PROTECTED]>:



On 6/5/07, Loredana Curugiu <[EMAIL PROTECTED]> wrote:
>
>
>
> On 6/5/07, Oliveiros Cristina < [EMAIL PROTECTED]> wrote:
> >
> > Hey, Loredana.
>
>
> Hi Oliveiros! Nice to "see" you again!
>
> Please advice me,
> > you need to sum for a certain pair (Theme, receiver) the number that
> > appears on count for every record whose date is in dates column, is this
> > correct?
>
>
> Yap.
>
> But in what record's dates column? On all of them? Or just the dates
> > column of the records that have that (Theme , Receiver) ?
> >
> > Suppose I have
> > 3| CRIS | rec1 | date1 | (date1,date2)
> > 3| CRIS | rec1 | date2 | (date1,date3)
> >
> > What would be your intended sum?
> > 3 ? 6 ?
>
>
> 3
>
> date2 is not on dates column for that record, but it is on the first...
> >
> > Could you please show me an example of what would be the correct
> > output for ex for ,
> > CRIS   | +40741775622 ?
> > And For
> > LIA | +40741775621 ?
>
>
> Let's take a look at the following data:
>
> count | theme  |   receiver        |             date
> |        dates       2 | LIA      | +40741775621 | 2007-06-02
> 00:00:00+00 |
> {2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07}
>         |
>       1 | LIA      | +40741775621 | 2007-06-04 00:00:00+00 |
> {2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09}
> |
>       3 | CRIS   | +40741775622 | 2007-06-01 00:00:00+00 |
> {2007-06-01,2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07}
> |
>       1 | CRIS   | +40741775622 | 2007-06-04 00:00:00+00 |
> {2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09,2007-06-10}
> |
>       2 | LIA      | +40741775621 | 2007-06-03 00:00:00+00 |
> {2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08}
>        |
>       1 | CRIS   | +40741775622 | 2007-06-04 00:00:00+00 |
> {2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09,2007-06-10}
> |
>       1 | CRIS   | +40741775622 | 2007-06-03 00:00:00+00 |
> {2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09}
> |
>       1 | CRIS   | +40741775622 | 2007-06-04 00:00:00+00 |
> {2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09,2007-06-10}
> |
>       4 | LIA      | +40741775621 | 2007-06-01 00:00:00+00 |
> {2007-06-01,2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06}
> |
>       1 | LIA      | +40741775621 | 2007-06-04 00:00:00+00 |
> {2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09}
> |
>       1 | CRIS   | +40741775622 | 2007-06-02 00:00:00+00 |
> {2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08}
> |
>
>
> We can see that for LIA if we sum the count per day we have the
> following:
> theme                    date                                     count
> LIA           2007-06-01 00:00:00+00                        4
> LIA           2007-06-02 00:00:00+00                        2
> LIA           2007-06-03 00:00:00+00                        2
> LIA           2007-06-04 00:00:00+00                        2
>
> Also for CRIS:
>
> theme                    date                                     count
> CRIS           2007-06-01 00:00:00+00                        3
> CRIS           2007-06-02 00:00:00+00                        1
> CRIS           2007-06-03 00:00:00+00                        1
> CRIS           2007-06-04 00:00:00+00                        3
>
>
> With the following query
>      SELECT SUM(B.count),
>                    A.theme,
>                    A.receiver,
>                    A.dates
>          FROM view_sent_messages A
> INNER JOIN view_sent_messages B
>               ON A.theme=B.theme
>             AND A.receiver=B.receiver
>             AND B.date=ANY (A.dates)
>   GROUP BY A.theme,A.receiver, A.dates;
>
> I obtain the following result:
>
>  sum | theme  |   receiver       |
> dates
>
> 
-----+----------+---------------------+--------------------------------------------------------------------------------
>       8 | CRIS | +40741775622 |
> {2007-06-01,2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07}
>       5 | CRIS | +40741775622 |
> {2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08}
>       4 | CRIS | +40741775622 |
> {2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09}
>       9 | CRIS | +40741775622 |
> {2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09,2007-06-10}
>     10 | LIA    | +40741775621 |
> {2007-06-01,2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06}
>       6 | LIA    | +40741775621 |
> {2007-06-02,2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07}
>       4 | LIA    | +40741775621 |
> {2007-06-03,2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08}
>       4 | LIA    | +40741775621 |
> {2007-06-04,2007-06-05,2007-06-06,2007-06-07,2007-06-08,2007-06-09}
>
> We can see that for example for the first row, the sum 8 it is correctly
> calculated because if we sum the count for the days from dates column.
> If we take a look at the fourth row we can see that the sum it is not
> correct: it should be taken values for the count only for the date
> 2007-06-04
>
The sum shoud be 3.


The same problem it is at the eigth row. The sum should be 2.
>
> Best regards,
>          Loredana
>
>



--
O QuĂȘ? SQL Server 2005 Express Edition? for
free?  easy-to-use??  lightweight???  and embeddable???  Isso deve ser uma
fortuna, homem!

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