Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1qREFS-000yWr-9E for pgsql-hackers@arkaria.postgresql.org; Wed, 02 Aug 2023 15:58:55 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.94.2) (envelope-from ) id 1qREFP-0067va-Fq for pgsql-hackers@arkaria.postgresql.org; Wed, 02 Aug 2023 15:58:51 +0000 Received: from makus.postgresql.org ([2001:4800:3e1:1::229]) by malur.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1qREFO-0067vP-I2 for pgsql-hackers@lists.postgresql.org; Wed, 02 Aug 2023 15:58:51 +0000 Received: from forward502b.mail.yandex.net ([178.154.239.146]) by makus.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1qREFH-0009ll-Lf for pgsql-hackers@postgresql.org; Wed, 02 Aug 2023 15:58:49 +0000 Received: from mail-nwsmtp-smtp-production-main-84.iva.yp-c.yandex.net (mail-nwsmtp-smtp-production-main-84.iva.yp-c.yandex.net [IPv6:2a02:6b8:c0c:332f:0:640:4ab4:0]) by forward502b.mail.yandex.net (Yandex) with ESMTP id 2AB9D5EF1C; Wed, 2 Aug 2023 18:58:39 +0300 (MSK) Received: by mail-nwsmtp-smtp-production-main-84.iva.yp-c.yandex.net (smtp/Yandex) with ESMTPSA id bwUQAG6DYOs0-uzbMdvlK; Wed, 02 Aug 2023 18:58:38 +0300 X-Yandex-Fwd: 1 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=yandex.ru; s=mail; t=1690991918; bh=ghBM6kkuGriWf1AIcqsTHgsnOv/7IVNuNuuAUBtPnb0=; h=In-Reply-To:Cc:Date:References:To:Subject:Message-ID:From; b=iUC7lbZmjCMYTWVHeJw/gbVBdHqyUc5DK69XVYYA+nh0cbYR0XbswKG2G3xQJL2Xs 3UHKqfLJ6eqK7P5eUdDERwPDMLgxyP+kwtG6Pn52WhL08lUKoI85DzCYLgwIYKn7b7 yMf+C0/mj/TgeOv0W+8mgBeKesp+qmoWCJVl7HHQ= Authentication-Results: mail-nwsmtp-smtp-production-main-84.iva.yp-c.yandex.net; dkim=pass header.i=@yandex.ru Content-Type: multipart/mixed; boundary="------------HI5r1zyiCPvXc5ZvybddhidK" Message-ID: Date: Wed, 2 Aug 2023 18:58:37 +0300 MIME-Version: 1.0 User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101 Thunderbird/102.13.0 Subject: Re: POC, WIP: OR-clause support for indexes To: Peter Geoghegan , "Finnerty, Jim" Cc: Marcos Pegoraro , Alena Rybakina , Andrey Lepikhov , pgsql-hackers@postgresql.org, teodor@sigaev.ru, Ranier Vilela , Tomas Vondra References: <567ED6CA.2040504@sigaev.ru> <05838ca5-1c78-af81-34c1-19cae2516b61@postgrespro.ru> <919bfbcb-f812-758d-d687-71f89f0d9a68@postgrespro.ru> <7829312a-eb6b-b9ba-9719-71c9bc410884@yandex.ru> <9ea35f18-419d-efb7-b7c8-2e641a61f020@yandex.ru> <08f5ff34-1497-2123-8701-461a299035c9@yandex.ru> <8d714510-af73-a908-99c8-fc14536f2669@yandex.ru> Content-Language: en-US From: Alena Rybakina In-Reply-To: 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. --------------HI5r1zyiCPvXc5ZvybddhidK Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit I fixed an error that caused the current optimization not to work with prepared queries. I added a test to catch similar cases in the future. I have attached a patch. On 01.08.2023 22:42, Peter Geoghegan wrote: > On Mon, Jul 31, 2023 at 9:38 AM Alena Rybakina wrote: >> I noticed only one thing there: when we have unsorted array values in >> SOAP, the query takes longer than >> when it has a sorted array. I'll double-check it just in case and write >> about the results later. > I would expect the B-Tree preprocessing by _bt_preprocess_array_keys() > to be very slightly faster when the query is written with presorted, > duplicate-free constants. Sorting is faster when you don't really have > to sort. However, I would not expect the effect to be significant > enough to matter, except perhaps in very extreme cases. > Although...some of the cases you care about are very extreme cases. I tested an optimization to compare execution time and scheduling with sorting, shuffling, and reverse sorting constants in the simple case and I didn't notice any significant changes (compare_sorted.png). (I used a database with 100 million values generated by pgbench). >> I am also testing some experience with multi-column indexes using SAOPs. > Have you thought about a similar transformation for when the row > constructor syntax happens to have been used? > > Consider a query like the following, against a table with a composite > index on (a, b): > > select * from multi_test where ( a, b ) in (( 1, 1 ), ( 2, 1 )); > > This query will get a BitmapOr based plan that's similar to the plans > that OR-based queries affected by your transformation patch get today, > on HEAD. However, this equivalent spelling has the potential to be > significantly faster: > > select * from multi_test where a = any('{1,2}') and b = 1; > > (Of course, this is more likely to be true with my nbtree SAOP patch in place.) No, I haven't thought about it yet. I studied the example and it would really be nice to add optimization here. I didn't notice any problems with its implementation. I also have an obvious example with the "or" operator, for example , select * from multi_test, where (a, b ) = ( 1, 1 ) or (a, b ) = ( 2, 1 ) ...; Although I think such a case will be used less often. Thank you for the example, I think I understand better why our patches help each other, but I will review your patch again. I tried another example to see the lack of optimization in the pgbench database, but I also created an additional index: create index ind1 on pgbench_accounts(aid,bid); test_db=# explain analyze select * from pgbench_accounts where (aid, bid) in ((2,1), (2,2), (2,3), (3,3));                                                              QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------  Bitmap Heap Scan on pgbench_accounts  (cost=17.73..33.66 rows=1 width=97) (actual time=0.125..0.133 rows=1 loops=1)    Recheck Cond: ((aid = 2) OR (aid = 2) OR (aid = 2) OR (aid = 3))    Filter: (((aid = 2) AND (bid = 1)) OR ((aid = 2) AND (bid = 2)) OR ((aid = 2) AND (bid = 3)) OR ((aid = 3) AND (bid = 3)))    Rows Removed by Filter: 1    Heap Blocks: exact=1    ->  BitmapOr  (cost=17.73..17.73 rows=4 width=0) (actual time=0.100..0.102 rows=0 loops=1)          ->  Bitmap Index Scan on pgbench_accounts_pkey (cost=0.00..4.43 rows=1 width=0) (actual time=0.036..0.037 rows=1 loops=1)                Index Cond: (aid = 2)          ->  Bitmap Index Scan on pgbench_accounts_pkey (cost=0.00..4.43 rows=1 width=0) (actual time=0.021..0.022 rows=1 loops=1)                Index Cond: (aid = 2)          ->  Bitmap Index Scan on pgbench_accounts_pkey (cost=0.00..4.43 rows=1 width=0) (actual time=0.021..0.021 rows=1 loops=1)                Index Cond: (aid = 2)          ->  Bitmap Index Scan on pgbench_accounts_pkey (cost=0.00..4.43 rows=1 width=0) (actual time=0.019..0.020 rows=1 loops=1)                Index Cond: (aid = 3)  Planning Time: 0.625 ms  Execution Time: 0.227 ms (16 rows) I think such optimization would be useful here: aid =2 and bid in (1,2) or (aid,bid)=((3,3)) > Note that we currently won't use RowCompareExpr in many simple cases > where the row constructor syntax has been used. For example, a query > like this: > > select * from multi_test where ( a, b ) = (( 2, 1 )); > > This case already involves a transformation that is roughly comparable > to the one you're working on now. We'll remove the RowCompareExpr > during parsing. It'll be as if my example row constructor equality > query was written this way instead: > > select * from multi_test where a = 2 and b = 1; > > This can be surprisingly important, when combined with other things, > in more realistic examples. > > The nbtree code has special knowledge of RowCompareExpr that makes the > rules for comparing index tuples different to those from other kinds > of index scans. However, due to the RowCompareExpr transformation > process I just described, we don't need to rely on that specialized > nbtree code when the row constructor syntax is used with a simple > equality clause -- which is what makes the normalization process have > real value. If the nbtree code cannot see RowCompareExpr index quals > then it cannot have this problem in the first place. In general it is > useful to "normalize to conjunctive normal form" when it might allow > scan key preprocessing in the nbtree code to come up with a much > faster approach to executing the scan. > > It's easier to understand what I mean by showing a simple example. The > nbtree preprocessing code is smart enough to recognize that the > following query doesn't really need to do any work, due to having > quals that it recognizes as contradictory (it can set so->qual_okay to > false for unsatisfiable quals): > > select * from multi_test where ( a, b ) = (( 2, 1 )) and a = -1; > > However, it is not smart enough to perform the same trick if we change > one small detail with the query: > > select * from multi_test where ( a, b ) >= (( 2, 1 )) and a = -1; Yes, I have run the examples and I see it. ((ROW(aid, bid) >= ROW(2, 1)) AND (aid = '-1'::integer)) As I see it, we can implement such a transformation: '( a, b ) >= (( 2, 1 )) and a = -1'     ->    'aid >= 2 and bid >= 1 and aid =-1' It seems to me the most difficult thing is to notice problematic cases where the transformations are incorrect, but I think it can be implemented. > Ideally, the optimizer would canonicalize/normalize everything in a > way that made all of the nbtree preprocessing optimizations work just > as well, without introducing any new special cases. Obviously, there > is no reason why we can't perform the same trick with the second > variant. (Note also that the nbtree preprocessing code can be smart > about redundant quals, not just contradictory quals, so it matters > more than it may appear from this simple, unrealistic example of > mine.) I agree with your position, but I still don't understand how to consider transformations to generalized cases without relying on special cases. As I understand it, you assume that it is possible to apply transformations at the index creation stage, but there I came across the selectivity overestimation problem. I still haven't found a solution for this problem. > While these similar RowCompareExpr transformations are at least > somewhat important, that's not really why I bring them up now. I am > pointing them out now because I think that it might help you to > develop a more complete mental model of these transformations. > Ideally, your initial approach will generalize to other situations > later on. So it's worth considering the relationship between this > existing RowCompareExpr transformation, and the one that you're > working on currently. Plus other, future transformations. I will consider my case more broadly, but for this I will need some research work. > This example might also give you some appreciation of why my SAOP > patch is confused about when we need to do normalization/safety > checks. Some things seem necessary when generating index paths in the > optimizer. Other things seem necessary during preprocessing, in the > nbtree code, at the start of the index scan. Unfortunately, it's not > obvious to me where the right place is to deal with each aspect of > setting up multi-column SAOP index quals. My mental model is very > incomplete. To be honest, I think that in your examples I understand better what you mean by normalization to the conjunctive norm, because I only had a theoretical idea from the logic course. Hence, yes, normalization/security checks - now I understand why they are necessary. -- Regards, Alena Rybakina Postgres Professional --------------HI5r1zyiCPvXc5ZvybddhidK Content-Type: text/x-patch; charset=UTF-8; name="v7-Replace-OR-clause-to-ANY-expressions.patch" Content-Disposition: attachment; filename="v7-Replace-OR-clause-to-ANY-expressions.patch" Content-Transfer-Encoding: base64 RnJvbSAzNmY3MzFhNGM3Y2RhMTU4MTQyN2IwNGRkYjAxNmMwYmM5NjE5MzVhIE1vbiBTZXAg MTcgMDA6MDA6MDAgMjAwMQpGcm9tOiBBbGVuYSBSeWJha2luYSA8YS5yeWJha2luYUBwb3N0 Z3Jlc3Byby5ydT4KRGF0ZTogV2VkLCAyIEF1ZyAyMDIzIDE1OjQ0OjI2ICswMzAwClN1Ympl Y3Q6IFtQQVRDSF0gUmVwbGFjZSBPUiBjbGF1c2UgdG8gQU5ZIGV4cHJlc3Npb25zLiBSZXBs YWNlIChYPU4xKSBPUgogKFg9TjIpIC4uLiB3aXRoIFggPSBBTlkoTjEsIE4yKSBvbiB0aGUg c3RhZ2Ugb2YgdGhlIG9wdGltaXNlciB3aGVuIHdlIGFyZQogc3RpbGwgd29ya2luZyB3aXRo IGEgdHJlZSBleHByZXNzaW9uLiBGaXJzdGx5LCB3ZSBkbyBub3QgdHJ5IHRvIG1ha2UgYQog dHJhbnNmb3JtYXRpb24gZm9yICJub24tb3IiIGV4cHJlc3Npb25zIG9yIGluZXF1YWxpdGll 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