Commit da8f3ebf authored by Tom Lane's avatar Tom Lane

Don't convert Consts into Vars during setrefs.c processing.

While converting expressions in an upper-level plan node so that they
reference Vars and expressions provided by the input plan node(s),
don't convert plain Const items, even if there happens to be a matching
Const in the input.  It's silly to do so because a Var is more expensive to
execute than a Const.  Moreover, converting can fool ExecCheckPlanOutput's
check that an insert or update query inserts nulls into dropped columns,
leading to "query provides a value for a dropped column" errors during
INSERT or UPDATE on a table with a dropped column.  We could solve this
by making that check more complicated, but I don't see the point; this fix
should save a marginal number of cycles, and it also makes for less messy
EXPLAIN output, as shown by the ensuing regression test result changes.

Per report from Pavel Hanák.  I have not incorporated a test case based
on that example, as there doesn't seem to be a simple way of checking
this in isolation without making a bunch of assumptions about other
planner and SQL-function behavior.

Back-patch to 9.6.  This setrefs.c behavior exists much further back,
but there is not currently reason to think that it causes problems
before 9.6.

Discussion: <83shraampf.fsf@is-it.eu>
parent 00a86856
......@@ -2447,10 +2447,10 @@ select count(c2) w, c2 x, 5 y, 7.0 z from ft1 group by 2, y, 9.0::int order by 2
QUERY PLAN
----------------------------------------------------------------------------------------------------------
Sort
Output: (count(c2)), c2, (5), (7.0), (9)
Output: (count(c2)), c2, 5, 7.0, 9
Sort Key: ft1.c2
-> Foreign Scan
Output: (count(c2)), c2, (5), (7.0), (9)
Output: (count(c2)), c2, 5, 7.0, 9
Relations: Aggregate on (public.ft1)
Remote SQL: SELECT count(c2), c2, 5, 7.0, 9 FROM "S 1"."T 1" GROUP BY c2, 5::integer, 9::integer
(7 rows)
......@@ -2499,7 +2499,7 @@ select count(*) from (select c5, count(c1) from ft1 group by c5, sqrt(c2) having
Aggregate
Output: count(*)
-> Foreign Scan
Output: ft1.c5, (NULL::bigint), (sqrt((ft1.c2)::double precision))
Output: ft1.c5, NULL::bigint, (sqrt((ft1.c2)::double precision))
Filter: (((((avg(ft1.c1)) / (avg(ft1.c1))))::double precision * random()) <= '1'::double precision)
Relations: Aggregate on (public.ft1)
Remote SQL: SELECT c5, NULL::bigint, sqrt(c2), avg("C 1") FROM "S 1"."T 1" GROUP BY c5, (sqrt(c2)) HAVING ((avg("C 1") < 500::numeric))
......@@ -3139,7 +3139,7 @@ select sum(q.a), count(q.b) from ft4 left join (select 13, avg(ft1.c1), sum(ft2.
-> Subquery Scan on q
Output: q.a, q.b
-> Foreign Scan
Output: (13), (avg(ft1.c1)), (NULL::bigint)
Output: 13, (avg(ft1.c1)), NULL::bigint
Relations: Aggregate on ((public.ft2) LEFT JOIN (public.ft1))
Remote SQL: SELECT 13, avg(r1."C 1"), NULL::bigint FROM ("S 1"."T 1" r2 LEFT JOIN "S 1"."T 1" r1 ON (((r1."C 1" = r2."C 1"))))
(16 rows)
......
......@@ -1823,6 +1823,19 @@ set_dummy_tlist_references(Plan *plan, int rtoffset)
Var *oldvar = (Var *) tle->expr;
Var *newvar;
/*
* As in search_indexed_tlist_for_non_var(), we prefer to keep Consts
* as Consts, not Vars referencing Consts. Here, there's no speed
* advantage to be had, but it makes EXPLAIN output look cleaner, and
* again it avoids confusing the executor.
*/
if (IsA(oldvar, Const))
{
/* just reuse the existing TLE node */
output_targetlist = lappend(output_targetlist, tle);
continue;
}
newvar = makeVar(OUTER_VAR,
tle->resno,
exprType((Node *) oldvar),
......@@ -2010,6 +2023,16 @@ search_indexed_tlist_for_non_var(Node *node,
{
TargetEntry *tle;
/*
* If it's a simple Const, replacing it with a Var is silly, even if there
* happens to be an identical Const below; a Var is more expensive to
* execute than a Const. What's more, replacing it could confuse some
* places in the executor that expect to see simple Consts for, eg,
* dropped columns.
*/
if (IsA(node, Const))
return NULL;
tle = tlist_member(node, itlist->tlist);
if (tle)
{
......
......@@ -1426,7 +1426,7 @@ ORDER BY thousand, tenthous;
Sort Key: tenk1.thousand, tenk1.tenthous
-> Index Only Scan using tenk1_thous_tenthous on tenk1
-> Sort
Sort Key: (42), (42)
Sort Key: 42, 42
-> Index Only Scan using tenk1_hundred on tenk1 tenk1_1
(6 rows)
......
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