pg.ddx.io  pgsql-sql@postgresql.org mailing list archive  
help / color / mirror / Atom feed
From: operationsengineer1@yahoo.com
To: Salman Tahir <salmantahir1@gmail.com>
To: pgsql-sql@postgresql.org
Subject: Re: Organization of tables
Date: Fri, 15 Jun 2007 09:42:56 -0700 (PDT)
Message-ID: <186195.35881.qm@web33309.mail.mud.yahoo.com> (raw)

Hi Salman,

will this achieve your needs?


peptide_table

primary_key

name (ie, Peptide1, 
Peptide2)

mass


 

fragment_table

primary_key

name (ie, A, Q, 
K)

 

link_table

primary_key

peptide_id

fragment_id

it gives you easy access to peptide mass and it allows you to link multiple fragments to individual peptides.

if the peptide mass ultimately comes form the fragments, you could enter the mass value there and then have the db do a calculation to sum up the masses for a given peptide.

sorry if i've misunderstood you problem.

best of luck,

oe1


----- Original Message ----
From: Salman Tahir <salmantahir1@gmail.com>
To: pgsql-sql@postgresql.org
Sent: Thursday, June 14, 2007 4:21:06 AM
Subject: [SQL] Organization of tables

Hi,

I have a question regarding the organization of a table I want to
create in my database: I have the following setup:

Table Fragments (simplified example):
Primary key = {mass}

Approach (1)
fragment   |   mass (of fragment)   |   peptide
---------------+--------------------------------+--------------
A             |      x                          | Peptide1, Peptide2
Q             |      y                          | Peptide1
K             |      z                          | Peptide 2, Peptide3

The idea here is that a peptide can be composed of many fragments e.g.
Peptide 2 is made up of fragments A and K; Peptide1 is made up of A
and Q and so on.

My idea is to create an index on the mass column and be able to
retrieve all Peptides that contain a certain fragment mass e.g

SELECT peptide
FROM Fragments
WHERE mass = x;

Should give me: Peptide1, Peptide2

The alternative way I have thought of to organize this table is to
have something as follows:
Approach (2)
Primary Key = {fragment, mass, peptide}
fragment   |   mass (of fragment)   |   peptide
---------------+--------------------------------+--------------
A             |      x                          | Peptide1
A             |      x                          | Peptide2
Q             |      y                          | Peptide1
K             |      z                          | Peptide 2
K             |      z                          | Peptide 3

If I consider 2500 unique fragments then, using approach (1), table
Fragments will hold 2,500 tuples. If I consider the same number of
fragments then table Fragments using approach 2 holds 15,000 tuples.

I have considered using approach (1) whereby I would have less tuples
to search but if I wanted to access the peptides they belong to I
would retrieve the list of corresponding peptides e.g the string
"Peptide1, Peptide2" and process it in my program. However this seems
like a hack around the way a database table should be organised. The
problem increases further when I have to scale up and consider more
unique fragments (>2500).

Any help on how best to structure such data would be mostly appreciated.

- Salman Tahir

---------------------------(end of broadcast)---------------------------
TIP 3: Have you checked our extensive FAQ?

               http://www.postgresql.org/docs/faq





 
____________________________________________________________________________________
TV dinner still cooling? 
Check out "Tonight's Picks" on Yahoo! TV.
http://tv.yahoo.com/



view thread (3+ messages)

Message-ID: <186195.35881.qm@web33309.mail.mud.yahoo.com>
Permalink:  ../186195.35881.qm@web33309.mail.mud.yahoo.com/
Also on:    postgresql.org/message-id/186195.35881.qm@web33309.mail.mud.yahoo.com

 · 

reply

Reply instructions:

You may reply publicly to this message via plain-text email
using any one of the following methods:

* Reply to all the recipients using the --to and --cc options:
  reply via email

  To: pgsql-sql@postgresql.org
  Cc: operationsengineer1@yahoo.com, salmantahir1@gmail.com
  Subject: Re: Organization of tables
  In-Reply-To: <186195.35881.qm@web33309.mail.mud.yahoo.com>

* Save the following mbox file, import it into your mail client,
  and reply-to-all from there: mbox

This inbox is served by DDX for PostgreSQL; see mirroring instructions
for how to clone and mirror all data and code used for this inbox