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[86.49.229.30]) by smtp.gmail.com with ESMTPSA id vu4-20020a170907a64400b00a4403563a9dsm1131306ejc.192.2024.02.29.15.44.33 (version=TLS1_3 cipher=TLS_AES_128_GCM_SHA256 bits=128/128); Thu, 29 Feb 2024 15:44:33 -0800 (PST) Content-Type: multipart/mixed; boundary="------------b840M93jifozt7ZvMEIvd505" Message-ID: <35bdb7db-7412-4d18-9b06-fea5fcea37bc@enterprisedb.com> Date: Fri, 1 Mar 2024 00:44:32 +0100 MIME-Version: 1.0 User-Agent: Mozilla Thunderbird Subject: Re: BitmapHeapScan streaming read user and prelim refactoring From: Tomas Vondra To: Melanie Plageman Cc: Andres Freund , Pg Hackers , Thomas Munro , Heikki Linnakangas , Nazir Bilal Yavuz References: <20240214194228.jf4o7luxtyra5ggv@awork3.anarazel.de> <20240216173559.xiy5xcl5dqmsprns@liskov> <20240227015028.knohvy3spaqwk7lf@liskov> <20240227142230.nu3ytvcjwouvczlt@liskov> <40c213cc-6a15-4e2c-9e56-dae344d52a73@enterprisedb.com> <4b751bc5-446f-4357-a1e1-827585bf22b0@enterprisedb.com> <45bed4f3-a5bf-4a34-b544-7e751bd437e1@enterprisedb.com> <91090d58-7d3f-4447-9425-f24ba66e292a@enterprisedb.com> <8de6f6d7-9b9d-47a4-98cc-84bf31a314db@enterprisedb.com> Content-Language: en-US In-Reply-To: <8de6f6d7-9b9d-47a4-98cc-84bf31a314db@enterprisedb.com> List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Archived-At: Precedence: bulk This is a multi-part message in MIME format. --------------b840M93jifozt7ZvMEIvd505 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 7bit On 2/29/24 23:44, Tomas Vondra wrote: > > ... > >>> >>> I do have some partial results, comparing the patches. I only ran one of >>> the more affected workloads (cyclic) on the xeon, attached is a PDF >>> comparing master and the 0001-0014 patches. The percentages are timing >>> vs. the preceding patch (green - faster, red - slower). >> >> Just confirming: the results are for uncached? >> > > Yes, cyclic data set, uncached case. I picked this because it seemed > like one of the most affected cases. Do you want me to test some other > cases too? > BTW I decided to look at the data from a slightly different angle and compare the behavior with increasing effective_io_concurrency. Attached are charts for three "uncached" cases: * uniform, work_mem=4MB, workers_per_gather=0 * linear-fuzz, work_mem=4MB, workers_per_gather=0 * uniform, work_mem=4MB, workers_per_gather=4 Each page has charts for master and patched build (with all patches). I think there's a pretty obvious difference in how increasing e_i_c affects the two builds: 1) On master there's clear difference between eic=0 and eic=1 cases, but on the patched build there's literally no difference - for example the "uniform" distribution is clearly not great for prefetching, but eic=0 regresses to eic=1 poor behavior). Note: This is where the the "red bands" in the charts come from. 2) For some reason, the prefetching with eic>1 perform much better with the patches, except for with very low selectivity values (close to 0%). Not sure why this is happening - either the overhead is much lower (which would matter on these "adversarial" data distribution, but how could that be when fadvise is not free), or it ends up not doing any prefetching (but then what about (1)?). 3) I'm not sure about the linear-fuzz case, the only explanation I have we're able to skip almost all of the prefetches (and read-ahead likely works pretty well here). regards -- Tomas Vondra EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company --------------b840M93jifozt7ZvMEIvd505 Content-Type: application/pdf; name="prefetch-charts.pdf" Content-Disposition: attachment; filename="prefetch-charts.pdf" Content-Transfer-Encoding: base64 JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoVW50aXRsZWQgZG9jdW1lbnQpCi9Q cm9kdWNlciAoU2tpYS9QREYgbTEyMyBHb29nbGUgRG9jcyBSZW5kZXJlcik+PgplbmRvYmoK MyAwIG9iago8PC9jYSAxCi9CTSAvTm9ybWFsPj4KZW5kb2JqCjUgMCBvYmoKPDwvTiAzCi9G aWx0ZXIgL0ZsYXRlRGVjb2RlCi9MZW5ndGggMjQwPj4gc3RyZWFtCnicY2BgPMAABCwGDAy5 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