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-rw-r--r--src/backend/optimizer/plan/createplan.c44
-rw-r--r--src/backend/optimizer/plan/initsplan.c67
-rw-r--r--src/backend/optimizer/plan/planner.c107
-rw-r--r--src/backend/optimizer/plan/setrefs.c20
4 files changed, 179 insertions, 59 deletions
diff --git a/src/backend/optimizer/plan/createplan.c b/src/backend/optimizer/plan/createplan.c
index 717fcfa3ce..74e6f237b3 100644
--- a/src/backend/optimizer/plan/createplan.c
+++ b/src/backend/optimizer/plan/createplan.c
@@ -10,7 +10,7 @@
*
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/createplan.c,v 1.122 2002/11/15 02:36:53 tgl Exp $
+ * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/createplan.c,v 1.123 2002/11/19 23:21:58 tgl Exp $
*
*-------------------------------------------------------------------------
*/
@@ -1684,7 +1684,8 @@ make_material(List *tlist, Plan *lefttree)
Agg *
make_agg(List *tlist, List *qual, AggStrategy aggstrategy,
- int ngrp, AttrNumber *grpColIdx, Plan *lefttree)
+ int ngrp, AttrNumber *grpColIdx, long numGroups, int numAggs,
+ Plan *lefttree)
{
Agg *node = makeNode(Agg);
Plan *plan = &node->plan;
@@ -1692,6 +1693,7 @@ make_agg(List *tlist, List *qual, AggStrategy aggstrategy,
node->aggstrategy = aggstrategy;
node->numCols = ngrp;
node->grpColIdx = grpColIdx;
+ node->numGroups = numGroups;
copy_plan_costsize(plan, lefttree);
@@ -1699,15 +1701,11 @@ make_agg(List *tlist, List *qual, AggStrategy aggstrategy,
* Charge one cpu_operator_cost per aggregate function per input
* tuple.
*/
- plan->total_cost += cpu_operator_cost * plan->plan_rows *
- (length(pull_agg_clause((Node *) tlist)) +
- length(pull_agg_clause((Node *) qual)));
+ plan->total_cost += cpu_operator_cost * plan->plan_rows * numAggs;
/*
* We will produce a single output tuple if not grouping,
- * and a tuple per group otherwise. For now, estimate the number of
- * groups as 10% of the number of tuples --- bogus, but how to do
- * better?
+ * and a tuple per group otherwise.
*/
if (aggstrategy == AGG_PLAIN)
{
@@ -1716,10 +1714,7 @@ make_agg(List *tlist, List *qual, AggStrategy aggstrategy,
}
else
{
- plan->plan_rows *= 0.1;
- if (plan->plan_rows < 1)
- plan->plan_rows = 1;
- node->numGroups = (long) plan->plan_rows;
+ plan->plan_rows = numGroups;
}
plan->state = (EState *) NULL;
@@ -1735,6 +1730,7 @@ Group *
make_group(List *tlist,
int ngrp,
AttrNumber *grpColIdx,
+ double numGroups,
Plan *lefttree)
{
Group *node = makeNode(Group);
@@ -1748,13 +1744,8 @@ make_group(List *tlist,
*/
plan->total_cost += cpu_operator_cost * plan->plan_rows * ngrp;
- /*
- * Estimate the number of groups as 10% of the number of tuples
- * --- bogus, but how to do better?
- */
- plan->plan_rows *= 0.1;
- if (plan->plan_rows < 1)
- plan->plan_rows = 1;
+ /* One output tuple per estimated result group */
+ plan->plan_rows = numGroups;
plan->state = (EState *) NULL;
plan->qual = NULL;
@@ -1786,17 +1777,16 @@ make_unique(List *tlist, Plan *lefttree, List *distinctList)
/*
* Charge one cpu_operator_cost per comparison per input tuple. We
- * assume all columns get compared at most of the tuples.
+ * assume all columns get compared at most of the tuples. (XXX probably
+ * this is an overestimate.)
*/
plan->total_cost += cpu_operator_cost * plan->plan_rows * numCols;
/*
- * As for Group, we make the unsupported assumption that there will be
- * 10% as many tuples out as in.
+ * plan->plan_rows is left as a copy of the input subplan's plan_rows;
+ * ie, we assume the filter removes nothing. The caller must alter this
+ * if he has a better idea.
*/
- plan->plan_rows *= 0.1;
- if (plan->plan_rows < 1)
- plan->plan_rows = 1;
plan->state = (EState *) NULL;
plan->targetlist = tlist;
@@ -1850,8 +1840,8 @@ make_setop(SetOpCmd cmd, List *tlist, Plan *lefttree,
plan->total_cost += cpu_operator_cost * plan->plan_rows * numCols;
/*
- * As for Group, we make the unsupported assumption that there will be
- * 10% as many tuples out as in.
+ * We make the unsupported assumption that there will be 10% as many
+ * tuples out as in. Any way to do better?
*/
plan->plan_rows *= 0.1;
if (plan->plan_rows < 1)
diff --git a/src/backend/optimizer/plan/initsplan.c b/src/backend/optimizer/plan/initsplan.c
index e06282c126..e43c52f6df 100644
--- a/src/backend/optimizer/plan/initsplan.c
+++ b/src/backend/optimizer/plan/initsplan.c
@@ -8,7 +8,7 @@
*
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/initsplan.c,v 1.75 2002/09/04 20:31:21 momjian Exp $
+ * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/initsplan.c,v 1.76 2002/11/19 23:21:58 tgl Exp $
*
*-------------------------------------------------------------------------
*/
@@ -785,6 +785,71 @@ process_implied_equality(Query *root, Node *item1, Node *item2,
}
/*
+ * vars_known_equal
+ * Detect whether two Vars are known equal due to equijoin clauses.
+ *
+ * This is not completely accurate since we avoid adding redundant restriction
+ * clauses to individual base rels (see qual_is_redundant). However, after
+ * the implied-equality-deduction phase, it is complete for Vars of different
+ * rels; that's sufficient for planned uses.
+ */
+bool
+vars_known_equal(Query *root, Var *var1, Var *var2)
+{
+ Index irel1;
+ Index irel2;
+ RelOptInfo *rel1;
+ List *restrictlist;
+ List *itm;
+
+ /*
+ * Would need more work here if we wanted to check for known equality
+ * of general clauses: there might be multiple base rels involved.
+ */
+ Assert(IsA(var1, Var));
+ irel1 = var1->varno;
+ Assert(IsA(var2, Var));
+ irel2 = var2->varno;
+
+ /*
+ * If both vars belong to same rel, we need to look at that rel's
+ * baserestrictinfo list. If different rels, each will have a
+ * joininfo node for the other, and we can scan either list.
+ */
+ rel1 = find_base_rel(root, irel1);
+ if (irel1 == irel2)
+ restrictlist = rel1->baserestrictinfo;
+ else
+ {
+ JoinInfo *joininfo = find_joininfo_node(rel1,
+ makeListi1(irel2));
+
+ restrictlist = joininfo->jinfo_restrictinfo;
+ }
+
+ /*
+ * Scan to see if equality is known.
+ */
+ foreach(itm, restrictlist)
+ {
+ RestrictInfo *restrictinfo = (RestrictInfo *) lfirst(itm);
+ Node *left,
+ *right;
+
+ if (restrictinfo->mergejoinoperator == InvalidOid)
+ continue; /* ignore non-mergejoinable clauses */
+ /* We now know the restrictinfo clause is a binary opclause */
+ left = (Node *) get_leftop(restrictinfo->clause);
+ right = (Node *) get_rightop(restrictinfo->clause);
+ if ((equal(var1, left) && equal(var2, right)) ||
+ (equal(var2, left) && equal(var1, right)))
+ return true; /* found a matching clause */
+ }
+
+ return false;
+}
+
+/*
* qual_is_redundant
* Detect whether an implied-equality qual that turns out to be a
* restriction clause for a single base relation is redundant with
diff --git a/src/backend/optimizer/plan/planner.c b/src/backend/optimizer/plan/planner.c
index ab51f0cedb..baccf2ffbd 100644
--- a/src/backend/optimizer/plan/planner.c
+++ b/src/backend/optimizer/plan/planner.c
@@ -8,14 +8,17 @@
*
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/planner.c,v 1.128 2002/11/14 19:00:36 tgl Exp $
+ * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/planner.c,v 1.129 2002/11/19 23:21:59 tgl Exp $
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
+#include <limits.h>
+
#include "catalog/pg_type.h"
+#include "miscadmin.h"
#include "nodes/makefuncs.h"
#ifdef OPTIMIZER_DEBUG
#include "nodes/print.h"
@@ -35,6 +38,7 @@
#include "parser/parse_expr.h"
#include "rewrite/rewriteManip.h"
#include "utils/lsyscache.h"
+#include "utils/selfuncs.h"
/* Expression kind codes for preprocess_expression */
@@ -161,6 +165,23 @@ subquery_planner(Query *parse, double tuple_fraction)
preprocess_jointree(parse, (Node *) parse->jointree);
/*
+ * Detect whether any rangetable entries are RTE_JOIN kind; if not,
+ * we can avoid the expense of doing flatten_join_alias_vars().
+ * This must be done after we have done pull_up_subqueries, of course.
+ */
+ parse->hasJoinRTEs = false;
+ foreach(lst, parse->rtable)
+ {
+ RangeTblEntry *rte = (RangeTblEntry *) lfirst(lst);
+
+ if (rte->rtekind == RTE_JOIN)
+ {
+ parse->hasJoinRTEs = true;
+ break;
+ }
+ }
+
+ /*
* Do expression preprocessing on targetlist and quals.
*/
parse->targetList = (List *)
@@ -694,9 +715,6 @@ preprocess_jointree(Query *parse, Node *jtnode)
static Node *
preprocess_expression(Query *parse, Node *expr, int kind)
{
- bool has_join_rtes;
- List *rt;
-
/*
* Simplify constant expressions.
*
@@ -737,22 +755,8 @@ preprocess_expression(Query *parse, Node *expr, int kind)
* with base-relation variables, to allow quals to be pushed down. We
* must do this after sublink processing, since it does not recurse
* into sublinks.
- *
- * The flattening pass is expensive enough that it seems worthwhile to
- * scan the rangetable to see if we can avoid it.
*/
- has_join_rtes = false;
- foreach(rt, parse->rtable)
- {
- RangeTblEntry *rte = lfirst(rt);
-
- if (rte->rtekind == RTE_JOIN)
- {
- has_join_rtes = true;
- break;
- }
- }
- if (has_join_rtes)
+ if (parse->hasJoinRTEs)
expr = flatten_join_alias_vars(expr, parse->rtable, false);
return expr;
@@ -931,6 +935,9 @@ grouping_planner(Query *parse, double tuple_fraction)
AttrNumber *groupColIdx = NULL;
Path *cheapest_path;
Path *sorted_path;
+ double dNumGroups = 0;
+ long numGroups = 0;
+ int numAggs = 0;
bool use_hashed_grouping = false;
/* Preprocess targetlist in case we are inside an INSERT/UPDATE. */
@@ -1007,6 +1014,19 @@ grouping_planner(Query *parse, double tuple_fraction)
tlist);
/*
+ * Will need actual number of aggregates for estimating costs.
+ * Also, it's possible that optimization has eliminated all
+ * aggregates, and we may as well check for that here.
+ */
+ if (parse->hasAggs)
+ {
+ numAggs = length(pull_agg_clause((Node *) tlist)) +
+ length(pull_agg_clause(parse->havingQual));
+ if (numAggs == 0)
+ parse->hasAggs = false;
+ }
+
+ /*
* Figure out whether we need a sorted result from query_planner.
*
* If we have a GROUP BY clause, then we want a result sorted
@@ -1216,6 +1236,14 @@ grouping_planner(Query *parse, double tuple_fraction)
if (parse->groupClause)
{
/*
+ * Always estimate the number of groups.
+ */
+ dNumGroups = estimate_num_groups(parse,
+ parse->groupClause,
+ cheapest_path->parent->rows);
+ numGroups = (long) Min(dNumGroups, (double) LONG_MAX);
+
+ /*
* Executor doesn't support hashed aggregation with DISTINCT
* aggregates. (Doing so would imply storing *all* the input
* values in the hash table, which seems like a certain loser.)
@@ -1226,10 +1254,30 @@ grouping_planner(Query *parse, double tuple_fraction)
use_hashed_grouping = false;
else
{
-#if 0 /* much more to do here */
- /* TEMPORARY HOTWIRE FOR TESTING */
- use_hashed_grouping = true;
+ /*
+ * Use hashed grouping if (a) we think we can fit the
+ * hashtable into SortMem, *and* (b) the estimated cost
+ * is no more than doing it the other way. While avoiding
+ * the need for sorted input is usually a win, the fact
+ * that the output won't be sorted may be a loss; so we
+ * need to do an actual cost comparison.
+ *
+ * In most cases we have no good way to estimate the size of
+ * the transition value needed by an aggregate; arbitrarily
+ * assume it is 100 bytes. Also set the overhead per hashtable
+ * entry at 64 bytes.
+ */
+ int hashentrysize = cheapest_path->parent->width + 64 +
+ numAggs * 100;
+
+ if (hashentrysize * dNumGroups <= SortMem * 1024L)
+ {
+ /* much more to do here */
+#if 0
+ /* TEMPORARY HOTWIRE FOR TESTING */
+ use_hashed_grouping = true;
#endif
+ }
}
}
@@ -1319,6 +1367,8 @@ grouping_planner(Query *parse, double tuple_fraction)
AGG_HASHED,
length(parse->groupClause),
groupColIdx,
+ numGroups,
+ numAggs,
result_plan);
/* Hashed aggregation produces randomly-ordered results */
current_pathkeys = NIL;
@@ -1356,6 +1406,8 @@ grouping_planner(Query *parse, double tuple_fraction)
aggstrategy,
length(parse->groupClause),
groupColIdx,
+ numGroups,
+ numAggs,
result_plan);
}
else
@@ -1387,6 +1439,7 @@ grouping_planner(Query *parse, double tuple_fraction)
result_plan = (Plan *) make_group(tlist,
length(parse->groupClause),
groupColIdx,
+ dNumGroups,
result_plan);
}
}
@@ -1410,6 +1463,16 @@ grouping_planner(Query *parse, double tuple_fraction)
{
result_plan = (Plan *) make_unique(tlist, result_plan,
parse->distinctClause);
+ /*
+ * If there was grouping or aggregation, leave plan_rows as-is
+ * (ie, assume the result was already mostly unique). If not,
+ * it's reasonable to assume the UNIQUE filter has effects
+ * comparable to GROUP BY.
+ */
+ if (!parse->groupClause && !parse->hasAggs)
+ result_plan->plan_rows = estimate_num_groups(parse,
+ parse->distinctClause,
+ result_plan->plan_rows);
}
/*
diff --git a/src/backend/optimizer/plan/setrefs.c b/src/backend/optimizer/plan/setrefs.c
index 66998b036f..4239d9c3c1 100644
--- a/src/backend/optimizer/plan/setrefs.c
+++ b/src/backend/optimizer/plan/setrefs.c
@@ -9,7 +9,7 @@
*
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/setrefs.c,v 1.81 2002/09/04 20:31:21 momjian Exp $
+ * $Header: /cvsroot/pgsql/src/backend/optimizer/plan/setrefs.c,v 1.82 2002/11/19 23:21:59 tgl Exp $
*
*-------------------------------------------------------------------------
*/
@@ -439,7 +439,14 @@ join_references_mutator(Node *node,
return (Node *) newvar;
}
- /* Perhaps it's a join alias that can be resolved to input vars? */
+ /* Return the Var unmodified, if it's for acceptable_rel */
+ if (var->varno == context->acceptable_rel)
+ return (Node *) copyObject(var);
+
+ /*
+ * Perhaps it's a join alias that can be resolved to input vars?
+ * We try this last since it's relatively slow.
+ */
newnode = flatten_join_alias_vars((Node *) var,
context->rtable,
true);
@@ -450,13 +457,8 @@ join_references_mutator(Node *node,
return newnode;
}
- /*
- * No referent found for Var --- either raise an error, or return
- * the Var unmodified if it's for acceptable_rel.
- */
- if (var->varno != context->acceptable_rel)
- elog(ERROR, "join_references: variable not in subplan target lists");
- return (Node *) copyObject(var);
+ /* No referent found for Var */
+ elog(ERROR, "join_references: variable not in subplan target lists");
}
return expression_tree_mutator(node,
join_references_mutator,