Date: Tue, 12 Oct 2010 17:10:55 -0500
From: Ben Kim <bkim@tamu.edu>
To: Richard Broersma <richard.broersma@gmail.com>
Cc: pgsql-admin@postgresql.org
Subject: Re: compare two rows
Message-ID: <20101012221055.GC985@tamu.edu>
References: <AANLkTimX4BNmUm7KJ72FUBu+FgcKDxZdMcK4FkTfOmwA@mail.gmail.com>
	<4CB479DB02000025000368A9@gw.wicourts.gov>
	<20101012201747.GA720@tamu.edu>
	<AANLkTinpScsTqJwiM_=3=PN+jjdvHrR8RTdWToA_iP7P@mail.gmail.com>
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
In-Reply-To: <AANLkTinpScsTqJwiM_=3=PN+jjdvHrR8RTdWToA_iP7P@mail.gmail.com>
User-Agent: Mutt/1.5.20 (2009-12-10)

Thanks.

I'm on 8.4.2.

I was not clear but the two rows are from the same table. Here's the test case.

create table test_dup (id serial primary key, val text);
insert into test_dup(val)values('some text');
insert into test_dup(val)values('some texta');

select * from test_dup;
 id |    val     
----+------------
  1 | some text
  2 | some texta


How can I check whether the two rows are the same or different?


Thanks.

On Tue, Oct 12, 2010 at 02:12:36PM -0700, Richard Broersma wrote:
> On Tue, Oct 12, 2010 at 1:17 PM, Ben Kim <bkim@tamu.edu> wrote:
> > Admins,
> >
> > What is the best way to compare two rows from within psql cli client?
> >
> > It has ~30 fields, and the two rows are duplicate data but there might
> > be differences.
> >
> > id field1  field2  field3 ...
> > ===========================
> > id1 value1 value2 value3  ...
> > id2 value1 value2 value3  ...
> >
> > I could write a generic script to iterate through the list of fields and
> > compare each field values, or concatenate the fields to a string, but wondered what is out there.
> >
> > Also, is there a way around to use select row(...) = row(...)?
> 
> Does: (T1.value1,T1.value2, T1.value3, ... ) IS NOT DISTINCT FROM
> (T2.value1,T2.value2, T2.value3,...)
> or: Row( T1.* ) IS NOT DISTINCT FROM ( T2.* )
> work for you?
> 
> 
> 
> 
> 
> -- 
> Regards,
> Richard Broersma Jr.
> 
> Visit the Los Angeles PostgreSQL Users Group (LAPUG)
> http://pugs.postgresql.org/lapug