Re: [SQL] JOIN
| От | Oliveiros Cristina |
|---|---|
| Тема | Re: [SQL] JOIN |
| Дата | |
| Msg-id | f54607780706050730i23979220t97bdef2e199c09d6@mail.gmail.com обсуждение исходный текст |
| Ответ на | Re: [SQL] JOIN ("Loredana Curugiu" <loredana.curugiu@gmail.com>) |
| Ответы |
Re: [SQL] JOIN
("Loredana Curugiu" <loredana.curugiu@gmail.com>)
|
| Список | pgsql-novice |
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
--
O Quê? SQL Server 2005 Express Edition? for free? easy-to-use?? lightweight??? and embeddable??? Isso deve ser uma fortuna, homem!
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 <loredana.curugiu@gmail.com>:
On 6/5/07, Loredana Curugiu < loredana.curugiu@gmail.com> wrote:On 6/5/07, Oliveiros Cristina < oliveiros.cristina@gmail.com> 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 ?
3date2 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 | dates2 | 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 2007-06-04The sum shoud be 3.
Best regards,The same problem it is at the eigth row. The sum should be 2.
Loredana
--
O Quê? SQL Server 2005 Express Edition? for free? easy-to-use?? lightweight??? and embeddable??? Isso deve ser uma fortuna, homem!
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