Re: Parallel CREATE INDEX for GIN indexes - Mailing list pgsql-hackers

From Tomas Vondra
Subject Re: Parallel CREATE INDEX for GIN indexes
Date
Msg-id 203656b9-fbb1-4643-821a-9cce1b7edd81@vondra.me
Whole thread Raw
In response to Re: Parallel CREATE INDEX for GIN indexes  (Vinod Sridharan <vsridh90@gmail.com>)
List pgsql-hackers

On 4/18/25 03:03, Vinod Sridharan wrote:
> Hello,
> As part of testing this change I believe I found a scenario where the
> parallel build seems to trigger OOMs for larger indexes. Specifically,
> the calls for ginEntryInsert seem to leak memory into
> TopTransactionContext and OOM/crash the outer process.
> For serial build, the calls for ginEntryInsert tend to happen in a
> temporary memory context that gets reset at the end of the
> ginBuildCallback.
> For inserts, the call has a custom memory context and gets reset at
> the end of the insert.
> For parallel build, during the merge phase, the MemoryContext isn't
> swapped - and so this happens on the TopTransactionContext, and ends
> up growing (especially for larger indexes).
> 

Yes, that's true. The ginBuildCallbackParallel() already releases memory
after flushing the in-memory state, but I missed _gin_parallel_merge()
needs to be careful about memory usage too.

I haven't been able to trigger OOM (or even particularly bad) memory
usage, but I suppose it might be an issue with custom GIN opclasses with
much wider keys.

> I believe at the very least these should happen inside the tmpCtx
> found in the GinBuildState and reset periodically.
> 
> In the attached patch, I've tried to do this, and I'm able to build
> the index without OOMing, and only consuming maintenance_work_mem
> through the merge process.
> 
> Would appreciate your thoughts on this (and whether there's other approaches to
> resolve this too).
> 

The patch seems fine to me - I repeated the tests with mailing list
archives, with MemoryContextStats() in _gin_parallel_merge, and it
reliably minimizes the memory usage. So that's fine.

I was also worried if this might have performance impact, but it
actually seems to make it a little bit faster.

I'll get this pushed.


thanks

-- 
Tomas Vondra




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