Re: Replace IN VALUES with ANY in WHERE clauses during optimization

Hi, Alexander!

On 01.04.2025 15:07, Alexander Korotkov wrote:
> Hi, Alena!
>
> On Tue, Apr 1, 2025 at 2:11 AM Alena Rybakina 
> <a.rybakina@postgrespro.ru> wrote:
>
>     4.1) explain analyze SELECT ten
>
>     FROM onek t WHERE unique1 IN ( VALUES (0), ((2 IN ( SELECT unique2
>     FROM onek c WHERE c.unique2 in ((values(0),(2))))::integer)) );
>
>     QUERY PLAN
>     -------------------------------------------------------------------------------------------------------------
>     Seq Scan on onek t (cost=180.11..410.25 rows=2 width=6) (actual
>     time=5.014..13.256 rows=3.00 loops=1) Filter: (unique1 = ANY
>     (ARRAY[0, ((ANY (2 = (hashed SubPlan 1).col1)))::integer])) Rows
>     Removed by Filter: 10005 *Buffers: shared hit=110* SubPlan 1 ->
>     Seq Scan on onek c (cost=0.00..180.10 rows=3 width=4) (actual
>     time=0.022..4.951 rows=2.00 loops=1) Filter: (unique2 = ANY
>     ('{0,2}'::integer[])) Rows Removed by Filter: 10006 *Buffers:
>     shared hit=55* Planning: Buffers: shared hit=6 dirtied=1 Planning
>     Time: 0.502 ms Execution Time: 13.348 ms (13 rows)
>
>     The query plan without our patch:
>
>     --------------------------------------------------------------------------------------------------------------------------------------------
>     Hash Semi Join (cost=0.05..181.42 rows=2 width=6) (actual
>     time=5.072..9.076 rows=3.00 loops=1) Hash Cond: (t.unique1 =
>     "*VALUES*".column1) *Buffers: shared hit=55 read=55* -> Seq Scan
>     on onek t (cost=0.00..155.08 rows=10008 width=10) (actual
>     time=0.145..1.802 rows=10008.00 loops=1) *Buffers: shared hit=52
>     read=3* -> Hash (cost=0.03..0.03 rows=2 width=4) (actual
>     time=4.908..4.912 rows=2.00 loops=1) Buckets: 1024 Batches: 1
>     Memory Usage: 9kB *Buffers: shared hit=3 read=52* -> Values Scan
>     on "*VALUES*" (cost=0.00..0.03 rows=2 width=4) (actual
>     time=0.003..4.901 rows=2.00 loops=1) *Buffers: shared hit=3
>     read=52* SubPlan 1 -> Hash Semi Join (cost=0.05..181.42 rows=2
>     width=4) (actual time=0.036..4.861 rows=2.00 loops=1) Hash Cond:
>     (c.unique2 = "*VALUES*_1".column1) *Buffers: shared hit=3 read=52*
>     -> Seq Scan on onek c (cost=0.00..155.08 rows=10008 width=4)
>     (actual time=0.009..2.120 rows=10008.00 loops=1) *Buffers: shared
>     hit=3 read=52* -> Hash (cost=0.03..0.03 rows=2 width=4) (actual
>     time=0.006..0.008 rows=2.00 loops=1) Buckets: 1024 Batches: 1
>     Memory Usage: 9kB -> Values Scan on "*VALUES*_1" (cost=0.00..0.03
>     rows=2 width=4) (actual time=0.001..0.002 rows=2.00 loops=1)
>     Planning: Buffers: shared hit=102 read=22 Planning Time: 1.853 ms
>     Execution Time: 9.281 ms (23 rows)
>
>
> I think I managed to understand what is going on.
>
> When we run a query with SOAP over a constant array 
> then convert_saop_to_hashed_saop_walker() provides acceleration with 
> hashing.
>
> # explain analyze select * from test where val IN (5000, 4000, 9000, 
> 2000, 1000, 140050);
>                                               QUERY PLAN
> -------------------------------------------------------------------------------------------------------
>  Seq Scan on test  (cost=0.00..21925.00 rows=6 width=4) (actual 
> time=2.015..223.984 rows=6.00 loops=1)
>    Filter: (val = ANY ('{5000,4000,9000,2000,1000,140050}'::integer[]))
>    Rows Removed by Filter: 999994
>    Buffers: shared hit=2228 read=2197
>  Planning Time: 0.246 ms
>  Execution Time: 224.036 ms
> (6 rows)
>
> But when there is expression or subselect, then hashing doesn't work 
> and query becomes slower.
>
> # explain analyze select * from test where val IN (5000, 4000, 9000, 
> 2000, 1000, (select 140050));
>                                               QUERY PLAN
> -------------------------------------------------------------------------------------------------------
>  Seq Scan on test  (cost=0.01..21925.01 rows=6 width=4) (actual 
> time=0.904..396.495 rows=6.00 loops=1)
>    Filter: (val = ANY (ARRAY[5000, 4000, 9000, 2000, 1000, (InitPlan 
> 1).col1]))
>    Rows Removed by Filter: 999994
>    Buffers: shared hit=2292 read=2133
>    InitPlan 1
>      ->  Result  (cost=0.00..0.01 rows=1 width=4) (actual 
> time=0.002..0.002 rows=1.00 loops=1)
>  Planning Time: 0.160 ms
>  Execution Time: 396.538 ms
> (8 rows)
>
> In contrast, hashing is always available with VALUES.
>
> # explain analyze select * from test where val in (VALUES (5000), 
> (4000), (9000), (2000), (1000), ((select 140050)));
>  QUERY PLAN
> ------------------------------------------------------------------------------------------------------------------------
>  Hash Semi Join  (cost=0.16..17050.23 rows=6 width=4) (actual 
> time=1.589..225.061 rows=6.00 loops=1)
>    Hash Cond: (test.val = "*VALUES*".column1)
>    Buffers: shared hit=2356 read=2069
>    InitPlan 1
>      ->  Result  (cost=0.00..0.01 rows=1 width=4) (actual 
> time=0.003..0.003 rows=1.00 loops=1)
>    ->  Seq Scan on test  (cost=0.00..14425.00 rows=1000000 width=4) 
> (actual time=0.460..91.912 rows=1000000.00 loops=1)
>          Buffers: shared hit=2356 read=2069
>    ->  Hash  (cost=0.08..0.08 rows=6 width=4) (actual 
> time=0.049..0.050 rows=6.00 loops=1)
>          Buckets: 1024  Batches: 1  Memory Usage: 9kB
>          ->  Values Scan on "*VALUES*"  (cost=0.00..0.08 rows=6 
> width=4) (actual time=0.009..0.032 rows=6.00 loops=1)
>  Planning Time: 0.627 ms
>  Execution Time: 225.155 ms
> (12 rows)
>
> I think we should allow our transformation only when the array is 
> constant (attached patchset).

Yes, I agree with your conclusions; however, I noticed that you didn’t 
take Param-type variables into account.
These still get executed during the VALUES -> ANY transformation (see 
regression tests).

+PREPARE test2 (int,numeric, text) AS
+  SELECT ten FROM onek
+  WHERE sin(two)*four/($3::real) IN (VALUES (2), ($2), ($2), ($1));
+-- VTA forbidden because of unresolved casting of numeric parameter to 
common type
+EXPLAIN (COSTS OFF) EXECUTE test2(2, 2, '2');
+                                                         QUERY PLAN
+-----------------------------------------------------------------------------------------------------------------------------
+ Seq Scan on onek
+   Filter: (((sin((two)::double precision) * (four)::double precision) 
/ '2'::real) = ANY ('{2,2,2,2}'::double precision[]))
+(2 rows)
+
+PREPARE test3 (int,int, text) AS
+  SELECT ten FROM onek
+  WHERE sin(two)*four/($3::real) IN (VALUES (2), ($2), ($2), ($1));
+EXPLAIN (COSTS OFF) EXECUTE test3(2, 2, '2');
+                                                         QUERY PLAN
+-----------------------------------------------------------------------------------------------------------------------------
+ Seq Scan on onek
+   Filter: (((sin((two)::double precision) * (four)::double precision) 
/ '2'::real) = ANY ('{2,2,2,2}'::double precision[]))
+(2 rows)

In my opinion, we can apply the VALUES ->ANY transformation to them as 
well. What do you think? I ran some queries and didn’t notice any 
significant performance degradation.

create table test (x int);
insert into test select id from generate_series(1,1000) id;
PREPARE test4 (int,int, int) AS select * from test where x IN ($1, $2, $3);
PREPARE test3 (int,int, int) AS select * from test where x IN ($1, $2,
  (select $3));
EXPLAIN ANALYZE EXECUTE test4(2, 2, 2);
                                             QUERY PLAN
--------------------------------------------------------------------------------------------------
  Seq Scan on test  (cost=0.00..18.75 rows=3 width=4) (actual 
time=0.016..0.353 rows=1.00 loops=1)
    Filter: (x = ANY (ARRAY[$1, $2, $3]))
    Rows Removed by Filter: 999
    Buffers: shared hit=5
  Planning:
    Buffers: shared hit=20
  Planning Time: 0.266 ms
  Execution Time: 0.367 ms
(8 rows)

alena@postgres=# EXPLAIN ANALYZE EXECUTE test3(2, 2, 2);
                                             QUERY PLAN
--------------------------------------------------------------------------------------------------
  Seq Scan on test  (cost=0.01..18.76 rows=3 width=4) (actual 
time=0.072..1.379 rows=1.00 loops=1)
    Filter: (x = ANY (ARRAY[2, 2, (InitPlan 1).col1]))
    Rows Removed by Filter: 999
    Buffers: shared hit=5
    InitPlan 1
      ->  Result  (cost=0.00..0.01 rows=1 width=4) (actual 
time=0.003..0.003 rows=1.00 loops=1)
  Planning Time: 0.350 ms
  Execution Time: 1.431 ms
(8 rows)


alena@postgres=# PREPARE test6 (int,int, int) AS select * from test 
where x IN (values($1), ($2), ($3));
PREPARE
alena@postgres=# EXPLAIN ANALYZE EXECUTE test6(2, 2, 2);
                                             QUERY PLAN
--------------------------------------------------------------------------------------------------
  Seq Scan on test  (cost=0.00..18.75 rows=3 width=4) (actual 
time=0.055..0.683 rows=1.00 loops=1)
    Filter: (x = ANY ('{2,2,2}'::integer[]))
    Rows Removed by Filter: 999
    Buffers: shared hit=5
  Planning Time: 0.230 ms
  Execution Time: 0.724 ms
(6 rows)

We can’t use hashing for them, but without this transformation, we still 
have to perform a join.

----------------------------------------------------------------------------------------------------------------------
  Hash Semi Join  (cost=0.08..17.73 rows=3 width=4) (actual 
time=0.124..0.943 rows=1.00 loops=1)
    Hash Cond: (test.x = "*VALUES*".column1)
    Buffers: shared hit=5
    ->  Seq Scan on test  (cost=0.00..15.00 rows=1000 width=4) (actual 
time=0.051..0.389 rows=1000.00 loops=1)
          Buffers: shared hit=5
    ->  Hash  (cost=0.04..0.04 rows=3 width=4) (actual time=0.028..0.030 
rows=3.00 loops=1)
          Buckets: 1024  Batches: 1  Memory Usage: 9kB
          ->  Values Scan on "*VALUES*"  (cost=0.00..0.04 rows=3 
width=4) (actual time=0.004..0.010 rows=3.00 loops=1)
  Planning:
    Buffers: shared hit=105 read=1
  Planning Time: 2.176 ms
  Execution Time: 1.077 ms
(12 rows)

So, I think we can bring it back and construct the Array node based on 
the have_param flag.

foreach (lc, rte->values_lists)
+    {
+        List *elem = lfirst(lc);
+        Node *value = linitial(elem);
+
+        value = eval_const_expressions(NULL, value);
+
+        if (!IsA(value, Const))
+            have_param = true;
+
+        consts = lappend(consts, value);
+
+    }

Regarding the check for the presence of Var elements before the 
transformation, I think we should, for now, restore the walker function 
(values_simplicity_check_walker) that
traverses the query to identify Var nodes. This function was included in 
the initial version of the patch:

+/*
+ * The function traverses the tree looking for elements of type var.
+ * If it finds it, it returns true.
+ */
+static bool
+values_simplicity_check_walker(Node *node, void *ctx)
+{
+    if (node == NULL)
+    {
+        return false;
+    }
+    else if(IsA(node, Var))
+        return true;
+    else if(IsA(node, Query))
+        return query_tree_walker((Query *) node,
+                                 values_simplicity_check_walker,
+                                 (void*) ctx,
+                                 QTW_EXAMINE_RTES_BEFORE);
+
+    return expression_tree_walker(node, values_simplicity_check_walker,
+                                  (void *) ctx);
+}

> In future we may implement dynamic SAOP hashing, and then allow our 
> transformation in more cases.
I agree with your suggestion) Thank you for your interest to this 
subject and contribution!

-- 
Regards,
Alena Rybakina
Postgres Professional