Hi
I found some strange column alias behaviour:
select val1+val2 as val
from some_table
group by val;
result - OK
select val1+val2 as val
from some_table
order by val;
result - OK
select val1+val2 as val
from some_table
group by val having val1+val2>1;
result - OK
select val1+val2 as val
from some_
Hi all,
I have the following firewall connection data.
datetime | protocol | port | inside_ip| outside_ip
| outbound_count | outbound_bytes
-+--+---++--
--++---
2004-05-05 05:00:00 |
On Thu, May 27, 2004 at 11:14:58 +,
Willem de Jong <[EMAIL PROTECTED]> wrote:
> >>
> >> If i do a sum(time) the result is like this '1 day 18:00:00'. But i'd
> >> like to get a result like this '42:00:00'.
> >>
> >> How can i realise is by a query?
You can do something like the following: (n
PostgreSQL 7.4.2 ...
Background: I'm attempting to migrate tables which were created in the
pre-schema days to a sensible schema setup. I'm using the "uniqueidentifier"
column in some of these tables. When I created the new schema, I created an
instance of "uniqueidentifier" and its supporting fun
Chris Gamache <[EMAIL PROTECTED]> writes:
> I'm using the "uniqueidentifier" column in some of these tables. When
> I created the new schema, I created an instance of "uniqueidentifier"
> and its supporting functions and casts within the new schema. When I
> try to "INSERT INTO myschema.mytable ...
Hi ,
After adding a primary key in one of the participant tables
the query never finishes. The live table has a primary key
so it cannot be removed. I made a copy of the live table
using create table t_a as select * from tab. the query works
fine . when i ad the pkey like i have in the live tabl
[EMAIL PROTECTED] writes:
> tradein_clients=# explain analyze select email_id ,email ,contact from
> t_a a join email_source f using(email_id) join email_subscriptions h
> using(email_id) where 1=1 and f.source_id =1 and h.sub_id = 3 ;
> Runs for Ever.
So what does plain explain say about it?
Sorry if this is confusing, it is somewhat difficult to explain.
I find myself frequently creating solutions to the same problem. I'm not
yet happy with the way I've done any of them and I'd like to find a purely
SQL way of doing this if possible.
Here's what I have. For a contrived illustratio
> Ideally, I'd like to figure out a single SQL query that can be run
> afterwards to clean up the dsply_order to make sure that each number occurs
> only one time and that there are no gaps.
Well... by far the easiest way to approach this is not to clean up the
gaps. Removing gaps will only make t
