Re: Parallel tuplesort (for parallel B-Tree index creation)

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От Heikki Linnakangas
Тема Re: Parallel tuplesort (for parallel B-Tree index creation)
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Msg-id f907b291-116f-161b-cdde-35c2912bf6f1@iki.fi
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Ответ на Re: Parallel tuplesort (for parallel B-Tree index creation)  (Peter Geoghegan <pg@heroku.com>)
Ответы Re: Parallel tuplesort (for parallel B-Tree index creation)  (Peter Geoghegan <pg@heroku.com>)
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On 09/07/2016 09:01 AM, Peter Geoghegan wrote:
> On Tue, Sep 6, 2016 at 10:57 PM, Peter Geoghegan <pg@heroku.com> wrote:
>> There isn't much point in that, because those buffers are never
>> physically allocated in the first place when there are thousands. They
>> are, however, entered into the tuplesort.c accounting as if they were,
>> denying tuplesort.c the full benefit of available workMem. It doesn't
>> matter if you USEMEM() or FREEMEM() after we first spill to disk, but
>> before we begin the merge. (We already refund the
>> unused-but-logically-allocated memory from unusued at the beginning of
>> the merge (within beginmerge()), so we can't do any better than we
>> already are from that point on -- that makes the batch memtuples
>> growth thing slightly more effective.)
>
> The big picture here is that you can't only USEMEM() for tapes as the
> need arises for new tapes as new runs are created. You'll just run a
> massive availMem deficit, that you have no way of paying back, because
> you can't "liquidate assets to pay off your creditors" (e.g., release
> a bit of the memtuples memory). The fact is that memtuples growth
> doesn't work that way. The memtuples array never shrinks.

Hmm. But memtuples is empty, just after we have built the initial runs. 
Why couldn't we shrink, i.e. free and reallocate, it?

- Heikki




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