From: | Christopher Browne <cbbrowne(at)libertyrms(dot)info> |
---|---|
To: | Jodi Kanter <jkanter(at)virginia(dot)edu> |
Cc: | Postgres SQL List <pgsql-sql(at)postgresql(dot)org> |
Subject: | Re: duplicate dates |
Date: | 2003-08-01 15:57:44 |
Message-ID: | 60oez9l69z.fsf@dev6.int.libertyrms.info |
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Lists: | pgsql-sql |
Jodi Kanter wrote:
> I have one table that has a date/time field in it. I'd like to identify
> the records in the database where the date/time fields are the same. How
> can I do this? Do I need to create a view or temp table? Is there a way
> to run through one table multiple times.
If you plan to review the data multiple times, and the table is rather
large, then it probably makes sense to make a temp table.
select a.* into temp table my_dupes from
dated_table a, dated_table b
where a.event_on = b.event_on
-- Assuming that the primary key is on (field1, field2, field3)
and a.key_field1 <> b.key_field1
and a.key_field2 <> b.key_field2
and a.key_field3 <> b.key_field3;
You could then rummage through my_dupes as needed. Note that if there
are more than 2 simultaneous records, it will list all of them
multiple times :-(.
You may also want to be more precise about what you mean by 'date/time
fields are the same'. They go down to fractions of a second, so you
shouldn't have a huge number of collisions.
--
output = ("cbbrowne" "@" "libertyrms.info")
<http://dev6.int.libertyrms.com/>
Christopher Browne
(416) 646 3304 x124 (land)
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