Re: Optimization of range queries

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От Konstantin Knizhnik
Тема Re: Optimization of range queries
Дата
Msg-id a867935b-b59b-dd62-70b3-866448ddddc3@postgrespro.ru
обсуждение исходный текст
Ответ на Re: Optimization of range queries  (Teodor Sigaev <teodor@sigaev.ru>)
Список pgsql-hackers

On 09.04.2018 20:05, Teodor Sigaev wrote:
> Hi!
>
> 12 years ago I proposed patch to which could "union" OR clauses into 
> one range clause if it's possible. In that time pgsql could not use IS 
> NULL as index clause, so patch doesn't support that
>
> https://www.postgresql.org/message-id/flat/45742C51.9020602%40sigaev.ru
>
> option number 4), all other are already committed.

It seems to be slightly different optimization.
Attached please find small patch which extends simplify_and_arguments in 
clauses.c to eliminated redundant checks.
It doesn't perform complete constrains propagation and not using 
predicate_implied_by/predicate_refuted_by because them seems to be too 
expensive and essentially increase
query optimization time. Instead of it it just strict match comparison 
of predicates with some extra logic for handling negators.

With this patch constructed query plans are optimal:

postgres=# create table foo(x integer primary key, y integer);
CREATE TABLE
postgres=# insert into foo (x) values (generate_series(1,100000));
INSERT 0 100000
postgres=# insert into foo (x,y) values (generate_series(100001,200000), 1);
INSERT 0 100000
postgres=# vacuum analyze foo;
VACUUM
postgres=# explain select * from foo where not (x < 99999 and y is not 
null) and (x <= 100001 and y is not null);
                              QUERY PLAN
--------------------------------------------------------------------
  Index Scan using foo_pkey on foo  (cost=0.42..8.48 rows=2 width=8)
    Index Cond: ((x <= 100001) AND (x >= 99999))
    Filter: (y IS NOT NULL)
(3 rows)

postgres=# explain select * from foo where  x <= 100001 and y is not 
null and not (x < 99999 and y is not null);
                              QUERY PLAN
--------------------------------------------------------------------
  Index Scan using foo_pkey on foo  (cost=0.42..8.48 rows=2 width=8)
    Index Cond: ((x <= 100001) AND (x >= 99999))
    Filter: (y IS NOT NULL)
(3 rows)



>
>
> Konstantin Knizhnik wrote:
>> Hi hackers,
>>
>> Postgres optimizer is not able to build efficient execution plan for 
>> the following query:
>>
>> explain select * from  people_raw where not ("ID"<2068113880 AND 
>> "INN" is not null) and "ID"<=2068629726 AND "INN" is not null;
>>                                           QUERY PLAN
>> -------------------------------------------------------------------------------------------- 
>>
>>   Bitmap Heap Scan on people_raw (cost=74937803.72..210449640.49 
>> rows=121521030 width=336)
>>     Recheck Cond: ("ID" <= 2068629726)
>>     Filter: (("INN" IS NOT NULL) AND (("ID" >= 2068113880) OR ("INN" 
>> IS NULL)))
>>     ->  Bitmap Index Scan on "People_pkey" (cost=0.00..74907423.47 
>> rows=2077021718 width=0)
>>           Index Cond: ("ID" <= 2068629726)
>> (5 rows)
>>
>>
>> Here the table is very large, but query effects only relatively small 
>> number of rows located in the range: [2068113880,2068629726]
>> But unfortunately optimizer doesn't take it into the account.
>> Moreover, using "is not null" and "not null" is both operands of AND 
>> is not smart:
>>       (("INN" IS NOT NULL) AND (("ID" >= 2068113880) OR ("INN" IS 
>> NULL)))
>>
>> If I remove "is not null" condition, then plan is perfect:
>>
>> explain select * from  people_raw where not ("ID"<2068113880) and 
>> "ID"<=2068629726;
>>                                           QUERY PLAN
>> -------------------------------------------------------------------------------------------- 
>>
>>   Index Scan using "People_pkey" on people_raw (cost=0.58..196745.57 
>> rows=586160 width=336)
>>     Index Cond: (("ID" >= 2068113880) AND ("ID" <= 2068629726))
>> (2 rows)
>>
>> Before starting  investigation of the problem, I will like to know 
>> opinion and may be some advise of people familiar with optimizer:
>> how difficult will be to handle this case and where to look.
>>
>> Thanks in advance,
>>
>

-- 
Konstantin Knizhnik
Postgres Professional: http://www.postgrespro.com
The Russian Postgres Company


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