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 1ql447-000vXW-O7 for pgsql-hackers@arkaria.postgresql.org; Tue, 26 Sep 2023 09:09:13 +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 1ql445-00AvUS-EQ for pgsql-hackers@arkaria.postgresql.org; Tue, 26 Sep 2023 09:09:09 +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 1ql444-00AvUD-0n for pgsql-hackers@lists.postgresql.org; Tue, 26 Sep 2023 09:09:08 +0000 Received: from mail.postgrespro.ru ([93.174.131.139]) by makus.postgresql.org with esmtp (Exim 4.94.2) (envelope-from ) id 1ql43r-006i80-TL for pgsql-hackers@postgresql.org; Tue, 26 Sep 2023 09:09:06 +0000 Received: from [172.30.0.94] (unknown [172.30.0.94]) (using TLSv1.2 with cipher ECDHE-RSA-AES128-GCM-SHA256 (128/128 bits)) (Client did not present a certificate) (Authenticated sender: a.rybakina@postgrespro.ru) by mail.postgrespro.ru (Postfix/587) with ESMTPSA id DA3FDE2102D; Tue, 26 Sep 2023 12:08:52 +0300 (MSK) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=postgrespro.ru; s=mx2023; t=1695719333; bh=iWxTaovDx5hlTcwkYps5mLUOahuji8b+duHQlOGIMUY=; h=Message-ID:Date:User-Agent:From:Subject:To:Cc:References: In-Reply-To:From; b=wNYZBNdehnEPm3npVykN/y5KNckG8Ff9JA+rjV2eF0szWcjFpxgT89UgO7QeC1s2U bErbo2Pe6PhWRkKR0B5yUkqm1+4NNRLVUwLH0v/skOE0z2BUv8rGVWdwJc4ICn68JN betYqjUCJnJ2Wnv4I+Nbggkv1L0r0w2chXfM8tMbxhjnr7y1RaLw+UKbJqHTwUZp3C Wux8B+ONWRXbaXa7QXDqovmfYxBqV6xZlAWQmqRPa4cOyi4ghkN4MPPrdPTrmNVM8D W4yZh/WefypimRoHa7BYi9yTpx3tsCBU+nssBwwM7kcPNqNLFwDucQ7OisSTuVN9zD jkfTdUmVjf4HQ== Content-Type: multipart/mixed; boundary="------------nsBPOXsNz0eB25I2ecProwsR" Message-ID: <052172e4-6d75-8069-3179-26de339dca03@postgrespro.ru> Date: Tue, 26 Sep 2023 12:08:52 +0300 MIME-Version: 1.0 User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101 Thunderbird/102.15.1 From: "a.rybakina" Subject: Re: POC, WIP: OR-clause support for indexes To: Peter Eisentraut , Peter Geoghegan Cc: "Finnerty, Jim" , Marcos Pegoraro , Andrey Lepikhov , pgsql-hackers@postgresql.org, teodor@sigaev.ru, Ranier Vilela , Tomas Vondra References: <567ED6CA.2040504@sigaev.ru> <08f5ff34-1497-2123-8701-461a299035c9@yandex.ru> <8d714510-af73-a908-99c8-fc14536f2669@yandex.ru> <4bac271d-1700-db24-74ac-8414f2baf9fd@postgrespro.ru> Content-Language: en-US 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. --------------nsBPOXsNz0eB25I2ecProwsR Content-Type: multipart/alternative; boundary="------------gWqqjFyQYvTlWP80rrr5o02h" --------------gWqqjFyQYvTlWP80rrr5o02h Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit I'm sorry I didn't write for a long time, but I really had a very difficult month, now I'm fully back to work. *I was able to implement the patches to the end and moved the transformation of "OR" expressions to ANY.* I haven't seen a big difference between them yet, one has a conversion before calculating selectivity (v7-v1-Replace-OR-clause-to-ANY.patch), the other after (v7-v2-Replace-OR-clause-to-ANY.patch). Regression tests are passing, I don't see any problems with selectivity, nothing has fallen into the coredump, but I found some incorrect transformations. What is the reason for these inaccuracies, I have not found, but, to be honest, they look unusual). Gave the error below. In the patch, I don't like that I had to drag three libraries from parsing until I found a way around it.The advantage of this approach compared to the other (v7-v0-Replace-OR-clause-to-ANY.patch) is that at this stage all possible or transformations are performed, compared to the patch, where the transformation was done at the parsing stage. That is, here, for example, there are such optimizations in the transformation: I took the common element out of the bracket and the rest is converted to ANY, while, as noted by Peter Geoghegan, we did not have several bitmapscans, but only one scan through the array. postgres=# explain analyze SELECT p1.oid, p1.proname FROM pg_proc as p1 WHERE prolang = 13 AND prolang=1 OR prolang = 13 AND prolang = 2 OR prolang = 13 AND prolang = 3;                                               QUERY PLAN -------------------------------------------------------------------------------------------------------  Seq Scan on pg_proc p1  (cost=0.00..151.66 rows=1 width=68) (actual time=1.167..1.168 rows=0 loops=1)    Filter: ((prolang = '13'::oid) AND (prolang = ANY (ARRAY['1'::oid, '2'::oid, '3'::oid])))    Rows Removed by Filter: 3302  Planning Time: 0.146 ms  Execution Time: 1.191 ms (5 rows) *While I was testing, I found some transformations that don't work, although in my opinion, they should:** ** **1. First case:* explain analyze SELECT p1.oid, p1.proname FROM pg_proc as p1 WHERE prolang = 13 AND prolang=1 OR prolang = 2 AND prolang = 2 OR prolang = 13 AND prolang = 13; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------  Seq Scan on pg_proc p1  (cost=0.00..180.55 rows=2 width=68) (actual time=2.959..3.335 rows=89 loops=1)    Filter: (((prolang = '13'::oid) AND (prolang = '1'::oid)) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)) OR ((prolang = '13'::oid) AND (prolang = '13'::oid)))    Rows Removed by Filter: 3213  Planning Time: 1.278 ms  Execution Time: 3.486 ms (5 rows) Should have left only prolang = '13'::oid:                                               QUERY PLAN -------------------------------------------------------------------------------------------------------  Seq Scan on pg_proc p1  (cost=0.00..139.28 rows=1 width=68) (actual time=2.034..2.034 rows=0 loops=1)    Filter: ((prolang = '13'::oid ))    Rows Removed by Filter: 3302  Planning Time: 0.181 ms  Execution Time: 2.079 ms (5 rows) *2. Also does not work:* postgres=# explain analyze SELECT p1.oid, p1.proname FROM pg_proc as p1 WHERE prolang = 13 OR prolang = 2 AND prolang = 2 OR prolang = 13;                                                   QUERY PLAN ---------------------------------------------------------------------------------------------------------------  Seq Scan on pg_proc p1  (cost=0.00..164.04 rows=176 width=68) (actual time=2.422..2.686 rows=89 loops=1)    Filter: ((prolang = '13'::oid) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)) OR (prolang = '13'::oid))    Rows Removed by Filter: 3213  Planning Time: 1.370 ms  Execution Time: 2.799 ms (5 rows) Should have left: Filter: ((prolang = '13'::oid) OR (prolang = '2'::oid)) *3. Or another:* explain analyze SELECT p1.oid, p1.proname FROM pg_proc as p1 WHERE prolang = 13 OR prolang=13 OR prolang = 2 AND prolang = 2;                                                   QUERY PLAN ---------------------------------------------------------------------------------------------------------------  Seq Scan on pg_proc p1  (cost=0.00..164.04 rows=176 width=68) (actual time=2.350..2.566 rows=89 loops=1)    Filter: ((prolang = '13'::oid) OR (prolang = '13'::oid) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)))    Rows Removed by Filter: 3213  Planning Time: 0.215 ms  Execution Time: 2.624 ms (5 rows) Should have left: Filter: ((prolang = '13'::oid) OR (prolang = '2'::oid)) *Falls into coredump at me:* explain analyze SELECT p1.oid, p1.proname FROM pg_proc as p1 WHERE prolang = 13 OR prolang = 2 AND prolang = 2 OR prolang = 13; explain analyze SELECT p1.oid, p1.proname FROM pg_proc as p1 WHERE prolang = 13 OR prolang=13 OR prolang = 2 AND prolang = 2;                                                   QUERY PLAN ---------------------------------------------------------------------------------------------------------------  Seq Scan on pg_proc p1  (cost=0.00..164.04 rows=176 width=68) (actual time=2.350..2.566 rows=89 loops=1)    Filter: ((prolang = '13'::oid) OR (prolang = '13'::oid) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)))    Rows Removed by Filter: 3213  Planning Time: 0.215 ms  Execution Time: 2.624 ms (5 rows) I remind that initially the task was to find an opportunity to optimize the case of processing a large number of "or" expressions to optimize memory consumption. The FlameGraph for executing 50,000 "or" expressionshas grown 1.4Gb and remains in this state until exiting the psql session (flamegraph1.png) and it sagged a lot in execution time. If this case is converted to ANY, the query is executed much faster and memory is optimized (flamegraph2.png). It may be necessary to use this approach if there is no support for the framework to process ANY, IN expressions. Peter Geoghegan also noticed some development of this patch in terms of preparing some transformations to optimize the query at the stage of its execution [0]. [0] https://www.postgresql.org/message-id/CAH2-Wz%3D9N_4%2BEyhtyFqYQRx4OgVbP%2B1aoYU2JQPVogCir61ZEQ%40mail.gmail.com --------------gWqqjFyQYvTlWP80rrr5o02h Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: 8bit

I'm sorry I didn't write for a long time, but I really had a very difficult month, now I'm fully back to work.

I was able to implement the patches to the end and moved the transformation of "OR" expressions to ANY. I haven't seen a big difference between them yet, one has a conversion before calculating selectivity (v7-v1-Replace-OR-clause-to-ANY.patch), the other after (v7-v2-Replace-OR-clause-to-ANY.patch). Regression tests are passing, I don't see any problems with selectivity, nothing has fallen into the coredump, but I found some incorrect transformations. What is the reason for these inaccuracies, I have not found, but, to be honest, they look unusual). Gave the error below.
In the patch, I don't like that I had to drag three libraries from parsing until I found a way around it.The advantage of this approach compared to the other (v7-v0-Replace-OR-clause-to-ANY.patch) is that at this stage all possible or transformations are performed, compared to the patch, where the transformation was done at the parsing stage. That is, here, for example, there are such optimizations in the transformation:

I took the common element out of the bracket and the rest is converted to ANY, while, as noted by Peter Geoghegan, we did not have several bitmapscans, but only one scan through the array.

postgres=# explain analyze SELECT p1.oid, p1.proname
FROM pg_proc as p1
WHERE prolang = 13 AND prolang=1 OR prolang = 13 AND prolang = 2 OR prolang = 13 AND prolang = 3;
                                              QUERY PLAN                                               
-------------------------------------------------------------------------------------------------------
 Seq Scan on pg_proc p1  (cost=0.00..151.66 rows=1 width=68) (actual time=1.167..1.168 rows=0 loops=1)
   Filter: ((prolang = '13'::oid) AND (prolang = ANY (ARRAY['1'::oid, '2'::oid, '3'::oid])))
   Rows Removed by Filter: 3302
 Planning Time: 0.146 ms
 Execution Time: 1.191 ms
(5 rows)

While I was testing, I found some transformations that don't work, although in my opinion, they should:

1. First case:
explain analyze SELECT p1.oid, p1.proname
FROM pg_proc as p1
WHERE prolang = 13 AND prolang=1 OR prolang = 2 AND prolang = 2 OR prolang = 13 AND prolang = 13;
                                                                              QUERY PLAN                                                                              
----------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Seq Scan on pg_proc p1  (cost=0.00..180.55 rows=2 width=68) (actual time=2.959..3.335 rows=89 loops=1)
   Filter: (((prolang = '13'::oid) AND (prolang = '1'::oid)) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)) OR ((prolang = '13'::oid) AND (prolang = '13'::oid)))
   Rows Removed by Filter: 3213
 Planning Time: 1.278 ms
 Execution Time: 3.486 ms
(5 rows)

Should have left only prolang = '13'::oid:

                                              QUERY PLAN                                               
-------------------------------------------------------------------------------------------------------
 Seq Scan on pg_proc p1  (cost=0.00..139.28 rows=1 width=68) (actual time=2.034..2.034 rows=0 loops=1)
   Filter: ((prolang = '13'::oid ))
   Rows Removed by Filter: 3302
 Planning Time: 0.181 ms
 Execution Time: 2.079 ms
(5 rows)

2. Also does not work:
postgres=# explain analyze SELECT p1.oid, p1.proname
FROM pg_proc as p1
WHERE prolang = 13 OR prolang = 2 AND prolang = 2 OR prolang = 13;
                                                  QUERY PLAN                                                   
---------------------------------------------------------------------------------------------------------------
 Seq Scan on pg_proc p1  (cost=0.00..164.04 rows=176 width=68) (actual time=2.422..2.686 rows=89 loops=1)
   Filter: ((prolang = '13'::oid) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)) OR (prolang = '13'::oid))
   Rows Removed by Filter: 3213
 Planning Time: 1.370 ms
 Execution Time: 2.799 ms
(5 rows)

Should have left:
Filter: ((prolang = '13'::oid) OR (prolang = '2'::oid))

3. Or another:

explain analyze SELECT p1.oid, p1.proname
FROM pg_proc as p1
WHERE prolang = 13 OR prolang=13 OR prolang = 2 AND prolang = 2;
                                                  QUERY PLAN                                                   
---------------------------------------------------------------------------------------------------------------
 Seq Scan on pg_proc p1  (cost=0.00..164.04 rows=176 width=68) (actual time=2.350..2.566 rows=89 loops=1)
   Filter: ((prolang = '13'::oid) OR (prolang = '13'::oid) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)))
   Rows Removed by Filter: 3213
 Planning Time: 0.215 ms
 Execution Time: 2.624 ms
(5 rows)

Should have left:
Filter: ((prolang = '13'::oid) OR (prolang = '2'::oid))


Falls into coredump at me:
explain analyze SELECT p1.oid, p1.proname
FROM pg_proc as p1
WHERE prolang = 13 OR prolang = 2 AND prolang = 2 OR prolang = 13;

explain analyze SELECT p1.oid, p1.proname
FROM pg_proc as p1
WHERE prolang = 13 OR prolang=13 OR prolang = 2 AND prolang = 2;
                                                  QUERY PLAN                                                   
---------------------------------------------------------------------------------------------------------------
 Seq Scan on pg_proc p1  (cost=0.00..164.04 rows=176 width=68) (actual time=2.350..2.566 rows=89 loops=1)
   Filter: ((prolang = '13'::oid) OR (prolang = '13'::oid) OR ((prolang = '2'::oid) AND (prolang = '2'::oid)))
   Rows Removed by Filter: 3213
 Planning Time: 0.215 ms
 Execution Time: 2.624 ms

(5 rows)


I remind that initially the task was to find an opportunity to optimize the case of processing a large number of "or" expressions to optimize memory consumption. The FlameGraph for executing 50,000 "or" expressionshas grown 1.4Gb and remains in this state until exiting the psql session (flamegraph1.png) and it sagged a lot in execution time. If this case is converted to ANY, the query is executed much faster and memory is optimized (flamegraph2.png). It may be necessary to use this approach if there is no support for the framework to process ANY, IN expressions.


Peter Geoghegan also noticed some development of this patch in terms of preparing some transformations to optimize the query at the stage of its execution [0].

[0] https://www.postgresql.org/message-id/CAH2-Wz%3D9N_4%2BEyhtyFqYQRx4OgVbP%2B1aoYU2JQPVogCir61ZEQ%40mail.gmail.com

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