Re: Asymmetric partition-wise JOIN
От | Andrei Lepikhov |
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Тема | Re: Asymmetric partition-wise JOIN |
Дата | |
Msg-id | 521c2a71-49dd-4ab5-a585-569d0af3a647@postgrespro.ru обсуждение исходный текст |
Ответ на | Re: Asymmetric partition-wise JOIN (Alexander Korotkov <aekorotkov@gmail.com>) |
Ответы |
Re: Asymmetric partition-wise JOIN
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Список | pgsql-hackers |
On 15/10/2023 17:25, Alexander Korotkov wrote: > On Sun, Oct 15, 2023 at 8:40 AM Andrei Lepikhov > <a.lepikhov@postgrespro.ru> wrote: >> Thanks for such detailed feedback! >> The rationale for this patch was to give the optimizer additional ways >> to push down more joins into foreign servers. And, because of >> asynchronous append, the benefit of that optimization was obvious. >> Unfortunately, we hadn't found other applications for this feature, >> which was why this patch was postponed in the core. >> You have brought new ideas about applying this idea locally. Moreover, >> the main issue of the patch was massive memory consumption in the case >> of many joins and partitions - because of reparameterization. But now, >> postponing the reparameterization proposed in the thread [1] resolves >> that problem and gives some insights into the reparameterization >> technique of some fields, like lateral references. >> Hence, I think we can restart this work. >> The first thing here (after rebase, of course) is to figure out and >> implement in the cost model cases of effectiveness when asymmetric join >> would give significant performance. > > Great! I'm looking forward to the revised patch Before preparing a new patch, it would be better to find the common ground in the next issue: So far, this optimization stays aside, proposing an alternative path for a join RelOptInfo if we have an underlying append path in the outer. My back burner is redesigning the approach: asymmetric join doesn't change the partitioning scheme and bounds of the partitioned side. So, it looks consecutive to make it a part of partitionwise_join machinery and implement it as a part of the try_partitionwise_join / generate_partitionwise_join_paths routines. -- regards, Andrey Lepikhov Postgres Professional
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