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