Re: Parallel CREATE INDEX for BRIN indexes

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От Tomas Vondra
Тема Re: Parallel CREATE INDEX for BRIN indexes
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Msg-id 9a646c51-a4c3-ce34-cccd-99d00fd1dc6a@enterprisedb.com
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Ответ на Re: Parallel CREATE INDEX for BRIN indexes  (Matthias van de Meent <boekewurm+postgres@gmail.com>)
Ответы Re: Parallel CREATE INDEX for BRIN indexes  (Matthias van de Meent <boekewurm+postgres@gmail.com>)
Список pgsql-hackers
On 11/28/23 16:39, Matthias van de Meent wrote:
> On Thu, 23 Nov 2023 at 14:35, Tomas Vondra
> <tomas.vondra@enterprisedb.com> wrote:
>> On 11/23/23 13:33, Matthias van de Meent wrote:
>>> The union operator may leak (lots of) memory, so I think it makes
>>> sense to keep a context around that can be reset after we've extracted
>>> the merge result.
>>>
>>
>> But does the current code actually achieve that? It does create a "brin
>> union" context, but then it only does this:
>>
>>     /* Use our own memory context to avoid retail pfree */
>>     cxt = AllocSetContextCreate(CurrentMemoryContext,
>>                                 "brin union",
>>                                 ALLOCSET_DEFAULT_SIZES);
>>     oldcxt = MemoryContextSwitchTo(cxt);
>>     db = brin_deform_tuple(bdesc, b, NULL);
>>     MemoryContextSwitchTo(oldcxt);
>>
>> Surely that does not limit the amount of memory used by the actual union
>> functions in any way?
> 
> Oh, yes, of course. For some reason I thought that covered the calls
> to the union operator function too, but it indeed only covers
> deserialization. I do think it is still worthwhile to not do the
> create/delete cycle, but won't hold the patch back for that.
> 

I think the union_tuples() changes are better left for a separate patch.

>>>> However, I don't think the number of union_tuples calls is likely to be
>>>> very high, especially for large tables. Because we split the table into
>>>> 2048 chunks, and then cap the chunk size by 8192. For large tables
>>>> (where this matters) we're likely close to 8192.
>>>
>>> I agree that the merging part of the index creation is the last part,
>>> and usually has no high impact on the total performance of the reindex
>>> operation, but in memory-constrained environments releasing and then
>>> requesting the same chunk of memory over and over again just isn't
>>> great.
>>
>> OK, I'll take a look at the scratch context you suggested.
>>
>> My point however was we won't actually do that very often, because on
>> large tables the BRIN ranges are likely smaller than the parallel scan
>> chunk size, so few overlaps. OTOH if the table is small, or if the BRIN
>> ranges are large, there'll be few of them.
> 
> That's true, so maybe I'm concerned about something that amounts to
> only marginal gains.
> 

However, after thinking about this a bit more, I think we actually do
need to do something about the memory management when merging tuples.
AFAIK the general assumption was that union_tuple() only runs for a
single range, and then the whole context gets freed. But the way the
merging was implemented, it all runs in a single context. And while a
single union_tuple() may not need a lot memory, in total it may be
annoying. I just added a palloc(1MB) into union_tuples and ended up with
~160MB allocated in the PortalContext on just 2GB table. In practice the
memory will grow more slowly, but not great :-/

The attached 0003 patch adds a memory context that's reset after
producing a merged BRIN tuple for each page range.

> I noticed that the v4 patch doesn't yet update the documentation in
> indexam.sgml with am->amcanbuildparallel.

Should be fixed by 0002. I decided to add a simple note to ambuild(),
not sure if something more is needed.

> Once that is included and reviewed I think this will be ready, unless
> you want to address any of my comments upthread (that I marked with
> 'not in this patch') in this patch.
> 

Thanks. I believe the attached version addresses it. There's also 0004
with some indentation tweaks per pgindent.

regards

-- 
Tomas Vondra
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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