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Re: Performance problem with table containing a lot of text (blog)


  • From: Kari Lavikka <tuner(at)bdb(dot)fi>
  • To: Dan Harris <fbsd(at)drivefaster(dot)net>
  • Cc: PostgreSQL Performance <pgsql-performance(at)postgresql(dot)org>
  • Subject: Re: Performance problem with table containing a lot of text (blog)
  • Date: Tue, 28 Aug 2007 22:10:33 +0300 (EETDST)
  • Message-id: <Pine.HPX.4.62.0708282208030.3324@purple.bdb.fi> <text/plain>


I didn't see your schema, but couldn't these problems be solved by storing the article id, owner id, and blog date in a separate table? It seems that if you don't actually need the content of the blogs, all of those questions could be answered by querying a very simple table with minimal I/O overhead.

Yes. I was suggesting this as an option but I'm wondering if there are other solutions.

    |\__/|
    ( oo )    Kari Lavikka - tuner(at)bdb(dot)fi - (050) 380 3808
__ooO(  )Ooo_______ _____ ___ _ _  _   _    _      _                  _
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On Tue, 28 Aug 2007, Dan Harris wrote:

Kari Lavikka wrote:
Hello!

Some background info.. We have a blog table that contains about eight million blog entries. Average length of an entry is 1200 letters. Because each 8k page can accommodate only a few entries, every query that involves several entries causes several random seeks to disk. We are having problems with queries like:

1) give me a list of months when I have written someting
2) give me id's of entries I have written on month X year X
3) give me the number of blog entries my friends have written since last
   time




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