Re: POC, WIP: OR-clause support for indexes

Alena Rybakina <a.rybakina@postgrespro.ru>

From: "a.rybakina" <a.rybakina@postgrespro.ru>
To: Alexander Korotkov <aekorotkov@gmail.com>
Cc: pgsql-hackers@postgresql.org, "Finnerty, Jim" <jfinnert@amazon.com>, Marcos Pegoraro <marcos@f10.com.br>, Andrey Lepikhov <a.lepikhov@postgrespro.ru>, teodor@sigaev.ru, Ranier Vilela <ranier.vf@gmail.com>, Tomas Vondra <tomas.vondra@enterprisedb.com>, Peter Geoghegan <pg@bowt.ie>, Peter Eisentraut <peter@eisentraut.org>
Date: 2023-10-25T11:04:24Z
Lists: pgsql-hackers

Commits

Same data as JSON: GET /api/v1/messages/:b64id/commits the thread's linked commits as JSON, with link sources. API reference →
  1. Make group_similar_or_args() reorder clause list as little as possible

  2. Allow usage of match_orclause_to_indexcol() for joins

  3. Skip not SOAP-supported indexes while transforming an OR clause into SAOP

  4. Remove the wrong assertion from match_orclause_to_indexcol()

  5. Teach bitmap path generation about transforming OR-clauses to SAOP's

  6. Transform OR-clauses to SAOP's during index matching

  7. Fix the value of or_to_any_transform_limit in postgresql.conf.sample

  8. Transform OR clauses to ANY expression

  9. MergeAttributes code deduplication

  10. SEARCH and CYCLE clauses

  11. Improve estimation of OR clauses using extended statistics.

  12. Teach btree to handle ScalarArrayOpExpr quals natively.

  13. Revise collation derivation method and expression-tree representation.

  14. Instead of trying to force WHERE clauses into CNF or DNF normal form,

Attachments

Hi!

On 15.10.2023 01:34, Alexander Korotkov wrote:
> Hi, Alena!
>
> Thank you for your work on the subject.
>
> On Wed, Oct 4, 2023 at 10:21 PM a.rybakina <a.rybakina@postgrespro.ru> wrote:
>> I fixed the kernel dump issue and all the regression tests were successful, but I discovered another problem when I added my own regression tests.
>> Some queries that contain "or" expressions do not convert to "ANY". I have described this in more detail using diff as expected and real results:
>>
>> diff -U3 /home/alena/postgrespro__copy6/src/test/regress/expected/create_index.out /home/alena/postgrespro__copy6/src/test/regress/results/create_index.out
>> --- /home/alena/postgrespro__copy6/src/test/regress/expected/create_index.out 2023-10-04 21:54:12.496282667 +0300
>> +++ /home/alena/postgrespro__copy6/src/test/regress/results/create_index.out  2023-10-04 21:55:41.665422459 +0300
>> @@ -1925,17 +1925,20 @@
>>   EXPLAIN (COSTS OFF)
>>   SELECT count(*) FROM tenk1
>>     WHERE thousand = 42 AND (tenthous = 1 OR tenthous = 3) OR thousand = 41;
>> -                                               QUERY PLAN
>> ---------------------------------------------------------------------------------------------------------
>> +                                                        QUERY PLAN
>> +---------------------------------------------------------------------------------------------------------------------------
>>    Aggregate
>>      ->  Bitmap Heap Scan on tenk1
>> -         Recheck Cond: (((thousand = 42) AND (tenthous = ANY ('{1,3}'::integer[]))) OR (thousand = 41))
>> +         Recheck Cond: ((((thousand = 42) AND (tenthous = 1)) OR ((thousand = 42) AND (tenthous = 3))) OR (thousand = 41))
>>            ->  BitmapOr
>> -               ->  Bitmap Index Scan on tenk1_thous_tenthous
>> -                     Index Cond: ((thousand = 42) AND (tenthous = ANY ('{1,3}'::integer[])))
>> +               ->  BitmapOr
>> +                     ->  Bitmap Index Scan on tenk1_thous_tenthous
>> +                           Index Cond: ((thousand = 42) AND (tenthous = 1))
>> +                     ->  Bitmap Index Scan on tenk1_thous_tenthous
>> +                           Index Cond: ((thousand = 42) AND (tenthous = 3))
>>                  ->  Bitmap Index Scan on tenk1_thous_tenthous
>>                        Index Cond: (thousand = 41)
>> -(8 rows)
>> +(11 rows)
> I think this query is not converted, because you only convert
> top-level ORs in the transform_ors() function.  But in the example
> given, the target OR lays under AND, which in turn lays under another
> OR.  I think you need to make transform_ors() recursive to handle
> cases like this.
>
> I wonder about the default value of the parameter or_transform_limit
> of 500. In [1] and [2] you show the execution time degradation from 0
> to ~500 OR clauses.  I made a simple SQL script with the query "SELECT
> * FROM pgbench_accounts a WHERE  aid = 1 OR aid = 2 OR ... OR aid =
> 100;". The pgbench results for a single connection in prepared mode
> are the following.
> master: 936 tps
> patched (or_transform_limit == 0) :1414 tps
> So, transformation to ANY obviously accelerates the execution.
>
> I think it's important to identify the cases where this patch causes
> the degradation.  Generally, I don't see why ANY could be executed
> slower than the equivalent OR clause.  So, the possible degradation
> cases are slower plan generation and worse plans.  I managed to find
> both.
>
> As you stated before, currently the OR transformation has a quadratic
> complexity depending on the number of or-clause-groups.  I made a
> simple test to evaluate this. containing 10000 or-clause-groups.
> SELECT * FROM pgbench_accounts a WHERE aid + 1 * bid = 1 OR aid + 2 *
> bid = 1 OR ... OR aid + 10000 * bid = 1;
> master: 316ms
> patched: 7142ms
> Note, that the current or_transform_limit GUC parameter is not capable
> of cutting such cases, because it cuts cases lower than the limit not
> higher than the limit.  In the comment, you mention that we could
> invent something like hash to handle this.  Hash should be nice, but
> the problem is that we currently don't have a generic facility to hash
> nodes (or even order them).  It would be nice to add this facility,
> that would be quite a piece of work.  I would propose to limit this
> patch for now to handle just a single Var node as a non-const side of
> the clause and implement a simple hash for Vars.
>
> Another problem is the possible generation of worse plans.  I made an
> example table with two partial indexes.
> create table test as (select (random()*10)::int x, (random()*1000) y
> from generate_series(1,1000000) i);
> create index test_x_1_y on test (y) where x = 1;
> create index test_x_2_y on test (y) where x = 2;
> vacuum analyze test;
>
> Without the transformation of ORs to ANY, our planner manages to use
> both indexes with a Bitmap scan.
> # explain select * from test where (x = 1 or x = 2) and y = 100;
>                                                    QUERY PLAN
> --------------------------------------------------------------------------------------------------------------
>   Bitmap Heap Scan on test  (cost=8.60..12.62 rows=1 width=12)
>     Recheck Cond: (((y = '100'::double precision) AND (x = 1)) OR ((y =
> '100'::double precision) AND (x = 2)))
>     ->  BitmapOr  (cost=8.60..8.60 rows=1 width=0)
>           ->  Bitmap Index Scan on test_x_1_y  (cost=0.00..4.30 rows=1 width=0)
>                 Index Cond: (y = '100'::double precision)
>           ->  Bitmap Index Scan on test_x_2_y  (cost=0.00..4.30 rows=1 width=0)
>                 Index Cond: (y = '100'::double precision)
> (7 rows)
>
> With transformation, the planner can't use indexes.
> # explain select * from test where (x = 1 or x = 2) and y = 100;
>                                   QUERY PLAN
> -----------------------------------------------------------------------------
>   Gather  (cost=1000.00..12690.10 rows=1 width=12)
>     Workers Planned: 2
>     ->  Parallel Seq Scan on test  (cost=0.00..11690.00 rows=1 width=12)
>           Filter: ((x = ANY (ARRAY[1, 2])) AND (y = '100'::double precision))
> (4 rows)
>
> The solution I see would be to tech Bitmap scan to handle ANY clause
> in the same way as the OR clause.  I think the entry point for the
> relevant logic is the choose_bitmap_and() function.
>
> Regarding the GUC parameter, I don't see we need a limit.  It's not
> yet clear whether a small number or a large number of OR clauses are
> more favorable for transformation.  I propose to have just a boolean
> enable_or_transformation GUC.
>
I removed the limit from the hook, left the option to enable it or not.

I replaced the data structure so that the groups were formed not in a 
list, but in a hash table. It seems to work fine, but I haven't figured 
out yet why in some cases the regression test results are different and 
the function doesn't work.

So far, I have formed a patch for the version where the conversion takes 
place in parsing, since so far this patch looks the most reliable for me

For convenience, I have formed a patch for the very first version so far.

I have a suspicion that the problem is in the part where we form a hash 
from a string. I'm still figuring it out.