From: | Thom Brown <thom(at)linux(dot)com> |
---|---|
To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | Andy <angelflow(at)yahoo(dot)com>, pgsql-general(at)postgresql(dot)org |
Subject: | Re: Postgresql's table & index compared to that of MySQL |
Date: | 2010-08-17 15:21:18 |
Message-ID: | AANLkTinnCH7XygYUA4sGzmqdS8V3A=_OoufKVpbYZYbC@mail.gmail.com |
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Lists: | pgsql-general |
On 17 August 2010 16:00, Thom Brown <thom(at)linux(dot)com> wrote:
> On 17 August 2010 13:45, Thom Brown <thom(at)linux(dot)com> wrote:
>> On 17 August 2010 04:05, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
>>> Andy <angelflow(at)yahoo(dot)com> writes:
>>>> Your results of 867MB for Postgresql & 3,576 MB for InnoDB are surprising. Do you know why it is so much smaller for Postgresql? Are there any indexes?
>>>
>>> If I understood the original report correctly, they were complaining
>>> mostly about index size, so a table without indexes certainly isn't
>>> a real helpful comparison.
>>
>> Yeah, I did attempt to create a full text GIN index on that last
>> night, but it was taking ages and it was getting late, so abandoned
>> it. If you're interested, I set up one on MySQL's version (MyISAM of
>> course) and it was around 108 MB. The problem is, if PostgreSQL's
>> index was, say, 600 MB, it might still not be fair to compare it since
>> they make not really be equivalent.
>>
>> But those slides leave a lot of important information out. And even
>> if it clearly explained everything in detail, they're talking about
>> 7.4 and 8.0. The world has changed since then.
>>
> Okay, I've left the creation of 2 full text indexes, one using GIN and
> another using GiST. GIN comes up with 72 MB and GiST 21 MB.
>
> But again, this is all rather synthetic and the data I've used
> contains duplicate content. As for VACUUM performance hits, this has
> changed since 8.0 too. 8.2 came with more efficient index VACUUMing.
> 8.3 introduced Heap-Only Tuples which allow dead tuples to be reused.
> And VACUUM is also tunable in the config.
>
Actually, if MySQL won't return anything which occurs in 50% or more
of the rows, and all the rows in my test were duplicates, what's it
spending 108 MB on if there's no full text query I can use which can
return results?
--
Thom Brown
Registered Linux user: #516935
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