Re: Replace IN VALUES with ANY in WHERE clauses during optimization - Mailing list pgsql-hackers

Hi, Alexander!

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.

-- 
Regards,
Alena Rybakina
Postgres Professional