From: | Robert Haas <robertmhaas(at)gmail(dot)com> |
---|---|
To: | Andy Colson <andy(at)squeakycode(dot)net> |
Cc: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>, Jon Nelson <jnelson+pgsql(at)jamponi(dot)net>, pgsql-performance(at)postgresql(dot)org |
Subject: | Re: queries with lots of UNIONed relations |
Date: | 2011-01-13 22:49:15 |
Message-ID: | AANLkTikg+DmHbRrxdQbeX3B5PyXD0rRziT0QowQ-_LnM@mail.gmail.com |
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Lists: | pgsql-performance |
On Thu, Jan 13, 2011 at 5:47 PM, Andy Colson <andy(at)squeakycode(dot)net> wrote:
>>>> I don't believe there is any case where hashing each individual relation
>>>> is a win compared to hashing them all together. If the optimizer were
>>>> smart enough to be considering the situation as a whole, it would always
>>>> do the latter.
>>>
>>> You might be right, but I'm not sure. Suppose that there are 100
>>> inheritance children, and each has 10,000 distinct values, but none of
>>> them are common between the tables. In that situation, de-duplicating
>>> each individual table requires a hash table that can hold 10,000
>>> entries. But deduplicating everything at once requires a hash table
>>> that can hold 1,000,000 entries.
>>>
>>> Or am I all wet?
>>
>> Yeah, I'm all wet, because you'd still have to re-de-duplicate at the
>> end. But then why did the OP get a speedup? *scratches head*
>
> Because it all fix it memory and didnt swap to disk?
Doesn't make sense. The re-de-duplication at the end should use the
same amount of memory regardless of whether the individual relations
have already been de-duplicated.
--
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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