Re: Custom explain options - Mailing list pgsql-hackers
From | Konstantin Knizhnik |
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Subject | Re: Custom explain options |
Date | |
Msg-id | 04aeec17-ad57-4d90-b2f1-7881369b7920@garret.ru Whole thread Raw |
In response to | Re: Custom explain options (Tomas Vondra <tomas.vondra@enterprisedb.com>) |
Responses |
Re: Custom explain options
|
List | pgsql-hackers |
On 12/01/2024 7:03 pm, Tomas Vondra wrote: > On 10/21/23 14:16, Konstantin Knizhnik wrote: >> Hi hackers, >> >> EXPLAIN statement has a list of options (i.e. ANALYZE, BUFFERS, >> COST,...) which help to provide useful details of query execution. >> In Neon we have added PREFETCH option which shows information about page >> prefetching during query execution (prefetching is more critical for Neon >> architecture because of separation of compute and storage, so it is >> implemented not only for bitmap heap scan as in Vanilla Postgres, but >> also for seqscan, indexscan and indexonly scan). Another possible >> candidate for explain options is local file cache (extra caching layer >> above shared buffers which is used to somehow replace file system cache >> in standalone Postgres). > Not quite related to this patch about EXPLAIN options, but can you share > some details how you implemented prefetching for the other nodes? > > I'm asking because I've been working on prefetching for index scans, so > I'm wondering if there's a better way to do this, or how to do it in a > way that would allow neon to maybe leverage that too. > > regards > Yes, I am looking at your PR. What we have implemented in Neon is more specific to Neon architecture where storage is separated from compute. So each page not found in shared buffers has to be downloaded from page server. It adds quite noticeable latency, because of network roundtrip. While vanilla Postgres can rely on OS file system cache when page is not found in shared buffer (access to OS file cache is certainly slower than to shared buffers because of syscall and copying of page, but performance penaly is not very large - less than 15%), Neon has no local files and so has to send request to the socket. This is why we have to perform aggressive prefetching whenever it is possible (when it it is possible to predict order of subsequent pages). Unlike vanilla Postgres which implements prefetch only for bitmap heap scan, we have implemented it for seqscan, index scan, indexonly scan, bitmap heap scan, vacuum, pg_prewarm. The main difference between Neon prefetch and vanilla Postgres prefetch is that first one is backend specific. So each backend prefetches only pages which it needs. This is why we have to rewrite prefetch for bitmap heap scan, which is using `fadvise` and assumes that pages prefetched by one backend in file cache, can be used by any other backend. Concerning index scan we have implemented two different approaches: for index only scan we try to prefetch leave pages and for index scan we prefetch referenced heap pages. In both cases we start from prefetch distance 0 and increase it until it reaches `effective_io_concurrency` for this relation. Doing so we try to avoid prefetching of useless pages and slowdown of "point" lookups returning one or few records. If you are interested, you can look at our implementation in neon repo: all source are available. But briefly speaking, each backend has its own prefetch ring (prefetch requests which are waiting for response). The key idea is that we can send several prefetch requests to page server and then receive multiple replies. It allows to increased speed of OLAP queries up to 10 times. Heikki thinks that prefetch can be somehow combined with async-io proposal (based on io_uring). But right now they have nothing in common.
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