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: | 2007-08-28 19:10:33 |
Message-ID: | Pine.HPX.4.62.0708282208030.3324@purple.bdb.fi |
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Thread: | |
Lists: | pgsql-performance |
> 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_______ _____ ___ _ _ _ _ _ _ _
""
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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