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https://github.com/postgres/postgres.git
synced 2025-07-20 05:03:10 +03:00
Turn the rangetable used by the executor into a flat list, and avoid storing
useless substructure for its RangeTblEntry nodes. (I chose to keep using the same struct node type and just zero out the link fields for unneeded info, rather than making a separate ExecRangeTblEntry type --- it seemed too fragile to have two different rangetable representations.) Along the way, put subplans into a list in the toplevel PlannedStmt node, and have SubPlan nodes refer to them by list index instead of direct pointers. Vadim wanted to do that years ago, but I never understood what he was on about until now. It makes things a *whole* lot more robust, because we can stop worrying about duplicate processing of subplans during expression tree traversals. That's been a constant source of bugs, and it's finally gone. There are some consequent simplifications yet to be made, like not using a separate EState for subplans in the executor, but I'll tackle that later.
This commit is contained in:
@ -8,7 +8,7 @@
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*
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*
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* IDENTIFICATION
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* $PostgreSQL: pgsql/src/backend/optimizer/path/allpaths.c,v 1.160 2007/02/20 17:32:15 tgl Exp $
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* $PostgreSQL: pgsql/src/backend/optimizer/path/allpaths.c,v 1.161 2007/02/22 22:00:23 tgl Exp $
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*
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*-------------------------------------------------------------------------
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*/
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@ -521,6 +521,7 @@ set_subquery_pathlist(PlannerInfo *root, RelOptInfo *rel,
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root->query_level + 1,
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tuple_fraction,
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&subroot);
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rel->subrtable = subroot->parse->rtable;
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/* Copy number of output rows from subplan */
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rel->tuples = rel->subplan->plan_rows;
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@ -54,7 +54,7 @@
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* Portions Copyright (c) 1994, Regents of the University of California
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*
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* IDENTIFICATION
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* $PostgreSQL: pgsql/src/backend/optimizer/path/costsize.c,v 1.177 2007/01/22 20:00:39 tgl Exp $
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* $PostgreSQL: pgsql/src/backend/optimizer/path/costsize.c,v 1.178 2007/02/22 22:00:24 tgl Exp $
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*
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*-------------------------------------------------------------------------
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*/
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@ -107,11 +107,16 @@ bool enable_nestloop = true;
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bool enable_mergejoin = true;
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bool enable_hashjoin = true;
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typedef struct
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{
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PlannerInfo *root;
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QualCost total;
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} cost_qual_eval_context;
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static MergeScanSelCache *cached_scansel(PlannerInfo *root,
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RestrictInfo *rinfo,
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PathKey *pathkey);
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static bool cost_qual_eval_walker(Node *node, QualCost *total);
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static bool cost_qual_eval_walker(Node *node, cost_qual_eval_context *context);
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static Selectivity approx_selectivity(PlannerInfo *root, List *quals,
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JoinType jointype);
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static Selectivity join_in_selectivity(JoinPath *path, PlannerInfo *root);
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@ -362,7 +367,7 @@ cost_index(IndexPath *path, PlannerInfo *root,
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{
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QualCost index_qual_cost;
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cost_qual_eval(&index_qual_cost, indexQuals);
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cost_qual_eval(&index_qual_cost, indexQuals, root);
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/* any startup cost still has to be paid ... */
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cpu_per_tuple -= index_qual_cost.per_tuple;
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}
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@ -855,7 +860,7 @@ cost_functionscan(Path *path, PlannerInfo *root, RelOptInfo *baserel)
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Assert(rte->rtekind == RTE_FUNCTION);
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/* Estimate costs of executing the function expression */
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cost_qual_eval_node(&exprcost, rte->funcexpr);
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cost_qual_eval_node(&exprcost, rte->funcexpr, root);
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startup_cost += exprcost.startup;
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cpu_per_tuple = exprcost.per_tuple;
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@ -1241,7 +1246,7 @@ cost_nestloop(NestPath *path, PlannerInfo *root)
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ntuples = outer_path_rows * inner_path_rows * joininfactor;
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/* CPU costs */
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cost_qual_eval(&restrict_qual_cost, path->joinrestrictinfo);
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cost_qual_eval(&restrict_qual_cost, path->joinrestrictinfo, root);
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startup_cost += restrict_qual_cost.startup;
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cpu_per_tuple = cpu_tuple_cost + restrict_qual_cost.per_tuple;
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run_cost += cpu_per_tuple * ntuples;
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@ -1301,8 +1306,8 @@ cost_mergejoin(MergePath *path, PlannerInfo *root)
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*/
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merge_selec = approx_selectivity(root, mergeclauses,
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path->jpath.jointype);
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cost_qual_eval(&merge_qual_cost, mergeclauses);
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cost_qual_eval(&qp_qual_cost, path->jpath.joinrestrictinfo);
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cost_qual_eval(&merge_qual_cost, mergeclauses, root);
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cost_qual_eval(&qp_qual_cost, path->jpath.joinrestrictinfo, root);
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qp_qual_cost.startup -= merge_qual_cost.startup;
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qp_qual_cost.per_tuple -= merge_qual_cost.per_tuple;
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@ -1587,8 +1592,8 @@ cost_hashjoin(HashPath *path, PlannerInfo *root)
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*/
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hash_selec = approx_selectivity(root, hashclauses,
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path->jpath.jointype);
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cost_qual_eval(&hash_qual_cost, hashclauses);
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cost_qual_eval(&qp_qual_cost, path->jpath.joinrestrictinfo);
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cost_qual_eval(&hash_qual_cost, hashclauses, root);
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cost_qual_eval(&qp_qual_cost, path->jpath.joinrestrictinfo, root);
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qp_qual_cost.startup -= hash_qual_cost.startup;
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qp_qual_cost.per_tuple -= hash_qual_cost.per_tuple;
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@ -1756,12 +1761,14 @@ cost_hashjoin(HashPath *path, PlannerInfo *root)
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* and a per-evaluation component.
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*/
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void
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cost_qual_eval(QualCost *cost, List *quals)
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cost_qual_eval(QualCost *cost, List *quals, PlannerInfo *root)
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{
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cost_qual_eval_context context;
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ListCell *l;
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cost->startup = 0;
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cost->per_tuple = 0;
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context.root = root;
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context.total.startup = 0;
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context.total.per_tuple = 0;
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/* We don't charge any cost for the implicit ANDing at top level ... */
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@ -1769,8 +1776,10 @@ cost_qual_eval(QualCost *cost, List *quals)
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{
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Node *qual = (Node *) lfirst(l);
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cost_qual_eval_walker(qual, cost);
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cost_qual_eval_walker(qual, &context);
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}
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*cost = context.total;
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}
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/*
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@ -1778,15 +1787,21 @@ cost_qual_eval(QualCost *cost, List *quals)
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* As above, for a single RestrictInfo or expression.
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*/
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void
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cost_qual_eval_node(QualCost *cost, Node *qual)
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cost_qual_eval_node(QualCost *cost, Node *qual, PlannerInfo *root)
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{
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cost->startup = 0;
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cost->per_tuple = 0;
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cost_qual_eval_walker(qual, cost);
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cost_qual_eval_context context;
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context.root = root;
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context.total.startup = 0;
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context.total.per_tuple = 0;
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cost_qual_eval_walker(qual, &context);
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*cost = context.total;
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}
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static bool
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cost_qual_eval_walker(Node *node, QualCost *total)
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cost_qual_eval_walker(Node *node, cost_qual_eval_context *context)
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{
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if (node == NULL)
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return false;
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@ -1803,18 +1818,19 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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if (rinfo->eval_cost.startup < 0)
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{
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rinfo->eval_cost.startup = 0;
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rinfo->eval_cost.per_tuple = 0;
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cost_qual_eval_context locContext;
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locContext.root = context->root;
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locContext.total.startup = 0;
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locContext.total.per_tuple = 0;
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/*
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* For an OR clause, recurse into the marked-up tree so that
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* we set the eval_cost for contained RestrictInfos too.
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*/
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if (rinfo->orclause)
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cost_qual_eval_walker((Node *) rinfo->orclause,
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&rinfo->eval_cost);
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cost_qual_eval_walker((Node *) rinfo->orclause, &locContext);
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else
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cost_qual_eval_walker((Node *) rinfo->clause,
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&rinfo->eval_cost);
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cost_qual_eval_walker((Node *) rinfo->clause, &locContext);
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/*
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* If the RestrictInfo is marked pseudoconstant, it will be tested
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* only once, so treat its cost as all startup cost.
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@ -1822,12 +1838,13 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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if (rinfo->pseudoconstant)
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{
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/* count one execution during startup */
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rinfo->eval_cost.startup += rinfo->eval_cost.per_tuple;
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rinfo->eval_cost.per_tuple = 0;
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locContext.total.startup += locContext.total.per_tuple;
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locContext.total.per_tuple = 0;
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}
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rinfo->eval_cost = locContext.total;
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}
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total->startup += rinfo->eval_cost.startup;
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total->per_tuple += rinfo->eval_cost.per_tuple;
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context->total.startup += rinfo->eval_cost.startup;
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context->total.per_tuple += rinfo->eval_cost.per_tuple;
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/* do NOT recurse into children */
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return false;
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}
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@ -1849,8 +1866,8 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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*/
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if (IsA(node, FuncExpr))
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{
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total->per_tuple += get_func_cost(((FuncExpr *) node)->funcid) *
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cpu_operator_cost;
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context->total.per_tuple +=
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get_func_cost(((FuncExpr *) node)->funcid) * cpu_operator_cost;
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}
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else if (IsA(node, OpExpr) ||
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IsA(node, DistinctExpr) ||
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@ -1858,8 +1875,8 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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{
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/* rely on struct equivalence to treat these all alike */
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set_opfuncid((OpExpr *) node);
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total->per_tuple += get_func_cost(((OpExpr *) node)->opfuncid) *
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cpu_operator_cost;
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context->total.per_tuple +=
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get_func_cost(((OpExpr *) node)->opfuncid) * cpu_operator_cost;
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}
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else if (IsA(node, ScalarArrayOpExpr))
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{
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@ -1871,7 +1888,7 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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Node *arraynode = (Node *) lsecond(saop->args);
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set_sa_opfuncid(saop);
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total->per_tuple += get_func_cost(saop->opfuncid) *
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context->total.per_tuple += get_func_cost(saop->opfuncid) *
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cpu_operator_cost * estimate_array_length(arraynode) * 0.5;
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}
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else if (IsA(node, RowCompareExpr))
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@ -1884,7 +1901,7 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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{
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Oid opid = lfirst_oid(lc);
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total->per_tuple += get_func_cost(get_opcode(opid)) *
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context->total.per_tuple += get_func_cost(get_opcode(opid)) *
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cpu_operator_cost;
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}
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}
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@ -1905,7 +1922,7 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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* subplan by hashing.
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*/
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SubPlan *subplan = (SubPlan *) node;
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Plan *plan = subplan->plan;
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Plan *plan = planner_subplan_get_plan(context->root, subplan);
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if (subplan->useHashTable)
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{
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@ -1915,7 +1932,7 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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* cpu_operator_cost per tuple for the work of loading the
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* hashtable, too.
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*/
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total->startup += plan->total_cost +
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context->total.startup += plan->total_cost +
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cpu_operator_cost * plan->plan_rows;
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/*
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@ -1941,20 +1958,21 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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if (subplan->subLinkType == EXISTS_SUBLINK)
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{
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/* we only need to fetch 1 tuple */
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total->per_tuple += plan_run_cost / plan->plan_rows;
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context->total.per_tuple += plan_run_cost / plan->plan_rows;
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}
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else if (subplan->subLinkType == ALL_SUBLINK ||
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subplan->subLinkType == ANY_SUBLINK)
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{
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/* assume we need 50% of the tuples */
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total->per_tuple += 0.50 * plan_run_cost;
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context->total.per_tuple += 0.50 * plan_run_cost;
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/* also charge a cpu_operator_cost per row examined */
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total->per_tuple += 0.50 * plan->plan_rows * cpu_operator_cost;
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context->total.per_tuple +=
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0.50 * plan->plan_rows * cpu_operator_cost;
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}
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else
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{
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/* assume we need all tuples */
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total->per_tuple += plan_run_cost;
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context->total.per_tuple += plan_run_cost;
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}
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/*
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@ -1967,15 +1985,15 @@ cost_qual_eval_walker(Node *node, QualCost *total)
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if (subplan->parParam == NIL &&
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(IsA(plan, Sort) ||
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IsA(plan, Material)))
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total->startup += plan->startup_cost;
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context->total.startup += plan->startup_cost;
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else
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total->per_tuple += plan->startup_cost;
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context->total.per_tuple += plan->startup_cost;
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}
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}
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/* recurse into children */
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return expression_tree_walker(node, cost_qual_eval_walker,
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(void *) total);
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(void *) context);
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}
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@ -2042,7 +2060,7 @@ set_baserel_size_estimates(PlannerInfo *root, RelOptInfo *rel)
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rel->rows = clamp_row_est(nrows);
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cost_qual_eval(&rel->baserestrictcost, rel->baserestrictinfo);
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cost_qual_eval(&rel->baserestrictcost, rel->baserestrictinfo, root);
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set_rel_width(root, rel);
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}
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