* Portions Copyright (c) 1994, Regents of the University of California
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/executor/nodeAgg.c,v 1.95 2002/11/13 00:39:47 momjian Exp $
+ * $Header: /cvsroot/pgsql/src/backend/executor/nodeAgg.c,v 1.96 2002/11/19 23:21:57 tgl Exp $
*
*-------------------------------------------------------------------------
*/
Datum attr;
bool isNull;
+ /* rotate hashkey left 1 bit at each step */
+ hashkey = (hashkey << 1) | ((hashkey & 0x80000000) ? 1 : 0);
+
attr = heap_getattr(tuple, att, tupdesc, &isNull);
if (isNull)
continue; /* treat nulls as having hash key 0 */
* Portions Copyright (c) 1994, Regents of the University of California
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/nodes/copyfuncs.c,v 1.218 2002/11/15 02:50:06 momjian Exp $
+ * $Header: /cvsroot/pgsql/src/backend/nodes/copyfuncs.c,v 1.219 2002/11/19 23:21:58 tgl Exp $
*
*-------------------------------------------------------------------------
*/
/*
* We do not copy the planner internal fields: base_rel_list,
- * other_rel_list, join_rel_list, equi_key_list, query_pathkeys. Not
- * entirely clear if this is right?
+ * other_rel_list, join_rel_list, equi_key_list, query_pathkeys,
+ * hasJoinRTEs. Not entirely clear if this is right?
*/
return newnode;
* Portions Copyright (c) 1994, Regents of the University of California
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/nodes/equalfuncs.c,v 1.164 2002/11/15 02:50:06 momjian Exp $
+ * $Header: /cvsroot/pgsql/src/backend/nodes/equalfuncs.c,v 1.165 2002/11/19 23:21:58 tgl Exp $
*
*-------------------------------------------------------------------------
*/
/*
* We do not check the internal-to-the-planner fields: base_rel_list,
- * other_rel_list, join_rel_list, equi_key_list, query_pathkeys. They
- * might not be set yet, and in any case they should be derivable from
- * the other fields.
+ * other_rel_list, join_rel_list, equi_key_list, query_pathkeys,
+ * hasJoinRTEs. They might not be set yet, and in any case they should
+ * be derivable from the other fields.
*/
return true;
}
*
*
* 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 $
*
*-------------------------------------------------------------------------
*/
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;
node->aggstrategy = aggstrategy;
node->numCols = ngrp;
node->grpColIdx = grpColIdx;
+ node->numGroups = numGroups;
copy_plan_costsize(plan, lefttree);
* 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)
{
}
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;
make_group(List *tlist,
int ngrp,
AttrNumber *grpColIdx,
+ double numGroups,
Plan *lefttree)
{
Group *node = makeNode(Group);
*/
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;
/*
* 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;
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)
*
*
* 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 $
*
*-------------------------------------------------------------------------
*/
pull_varnos((Node *) clause));
}
+/*
+ * 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
*
*
* 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"
#include "parser/parse_expr.h"
#include "rewrite/rewriteManip.h"
#include "utils/lsyscache.h"
+#include "utils/selfuncs.h"
/* Expression kind codes for preprocess_expression */
parse->jointree = (FromExpr *)
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.
*/
static Node *
preprocess_expression(Query *parse, Node *expr, int kind)
{
- bool has_join_rtes;
- List *rt;
-
/*
* Simplify constant expressions.
*
* 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;
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. */
sort_pathkeys = make_pathkeys_for_sortclauses(parse->sortClause,
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 (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
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
+ }
}
}
AGG_HASHED,
length(parse->groupClause),
groupColIdx,
+ numGroups,
+ numAggs,
result_plan);
/* Hashed aggregation produces randomly-ordered results */
current_pathkeys = NIL;
aggstrategy,
length(parse->groupClause),
groupColIdx,
+ numGroups,
+ numAggs,
result_plan);
}
else
result_plan = (Plan *) make_group(tlist,
length(parse->groupClause),
groupColIdx,
+ dNumGroups,
result_plan);
}
}
{
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);
}
/*
*
*
* 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 $
*
*-------------------------------------------------------------------------
*/
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);
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,
*
*
* IDENTIFICATION
- * $Header: /cvsroot/pgsql/src/backend/utils/adt/selfuncs.c,v 1.120 2002/11/08 20:23:57 momjian Exp $
+ * $Header: /cvsroot/pgsql/src/backend/utils/adt/selfuncs.c,v 1.121 2002/11/19 23:21:59 tgl Exp $
*
*-------------------------------------------------------------------------
*/
#include "optimizer/cost.h"
#include "optimizer/pathnode.h"
#include "optimizer/plancat.h"
+#include "optimizer/planmain.h"
#include "optimizer/prep.h"
+#include "optimizer/tlist.h"
+#include "optimizer/var.h"
#include "parser/parse_func.h"
#include "parser/parse_oper.h"
#include "parser/parsetree.h"
*rightscan = 1.0;
}
+/*
+ * estimate_num_groups - Estimate number of groups in a grouped query
+ *
+ * Given a query having a GROUP BY clause, estimate how many groups there
+ * will be --- ie, the number of distinct combinations of the GROUP BY
+ * expressions.
+ *
+ * This routine is also used to estimate the number of rows emitted by
+ * a DISTINCT filtering step; that is an isomorphic problem. (Note:
+ * actually, we only use it for DISTINCT when there's no grouping or
+ * aggregation ahead of the DISTINCT.)
+ *
+ * Inputs:
+ * root - the query
+ * groupClauses - list of GroupClauses (or SortClauses for the DISTINCT
+ * case, but those are equivalent structs)
+ * input_rows - number of rows estimated to arrive at the group/unique
+ * filter step
+ *
+ * Given the lack of any cross-correlation statistics in the system, it's
+ * impossible to do anything really trustworthy with GROUP BY conditions
+ * involving multiple Vars. We should however avoid assuming the worst
+ * case (all possible cross-product terms actually appear as groups) since
+ * very often the grouped-by Vars are highly correlated. Our current approach
+ * is as follows:
+ * 1. Reduce the given expressions to a list of unique Vars used. For
+ * example, GROUP BY a, a + b is treated the same as GROUP BY a, b.
+ * It is clearly correct not to count the same Var more than once.
+ * It is also reasonable to treat f(x) the same as x: f() cannot
+ * increase the number of distinct values (unless it is volatile,
+ * which we consider unlikely for grouping), but it probably won't
+ * reduce the number of distinct values much either.
+ * 2. If the list contains Vars of different relations that are known equal
+ * due to equijoin clauses, then drop all but one of the Vars from each
+ * known-equal set, keeping the one with smallest estimated # of values
+ * (since the extra values of the others can't appear in joined rows).
+ * Note the reason we only consider Vars of different relations is that
+ * if we considered ones of the same rel, we'd be double-counting the
+ * restriction selectivity of the equality in the next step.
+ * 3. For Vars within a single source rel, we multiply together the numbers
+ * of values, clamp to the number of rows in the rel, and then multiply
+ * by the selectivity of the restriction clauses for that rel. The
+ * initial product is probably too high (it's the worst case) but since
+ * we can clamp to the rel's rows it won't be hugely bad. Multiplying
+ * by the restriction selectivity is effectively assuming that the
+ * restriction clauses are independent of the grouping, which is a crummy
+ * assumption, but it's hard to do better.
+ * 4. If there are Vars from multiple rels, we repeat step 3 for each such
+ * rel, and multiply the results together.
+ * Note that rels not containing grouped Vars are ignored completely, as are
+ * join clauses other than the equijoin clauses used in step 2. Such rels
+ * cannot increase the number of groups, and we assume such clauses do not
+ * reduce the number either (somewhat bogus, but we don't have the info to
+ * do better).
+ */
+double
+estimate_num_groups(Query *root, List *groupClauses, double input_rows)
+{
+ List *allvars = NIL;
+ List *varinfos = NIL;
+ double numdistinct;
+ List *l;
+ typedef struct { /* varinfos is a List of these */
+ Var *var;
+ double ndistinct;
+ } MyVarInfo;
+
+ /* We should not be called unless query has GROUP BY (or DISTINCT) */
+ Assert(groupClauses != NIL);
+
+ /* Step 1: get the unique Vars used */
+ foreach(l, groupClauses)
+ {
+ GroupClause *grpcl = (GroupClause *) lfirst(l);
+ Node *groupexpr = get_sortgroupclause_expr(grpcl,
+ root->targetList);
+ List *varshere;
+
+ varshere = pull_var_clause(groupexpr, false);
+ /*
+ * Replace any JOIN alias Vars with the underlying Vars. (This
+ * is not really right for FULL JOIN ...)
+ */
+ if (root->hasJoinRTEs)
+ {
+ varshere = (List *) flatten_join_alias_vars((Node *) varshere,
+ root->rtable,
+ true);
+ varshere = pull_var_clause((Node *) varshere, false);
+ }
+ /*
+ * If we find any variable-free GROUP BY item, then either it is
+ * a constant (and we can ignore it) or it contains a volatile
+ * function; in the latter case we punt and assume that each input
+ * row will yield a distinct group.
+ */
+ if (varshere == NIL)
+ {
+ if (contain_volatile_functions(groupexpr))
+ return input_rows;
+ continue;
+ }
+ allvars = nconc(allvars, varshere);
+ }
+
+ /* If now no Vars, we must have an all-constant GROUP BY list. */
+ if (allvars == NIL)
+ return 1.0;
+
+ /* Use set_union() to discard duplicates */
+ allvars = set_union(NIL, allvars);
+
+ /*
+ * Step 2: acquire statistical estimate of number of distinct values
+ * of each Var (total in its table, without regard for filtering).
+ * Also, detect known-equal Vars and discard the ones we don't want.
+ */
+ foreach(l, allvars)
+ {
+ Var *var = (Var *) lfirst(l);
+ Oid relid = getrelid(var->varno, root->rtable);
+ HeapTuple statsTuple = NULL;
+ Form_pg_statistic stats = NULL;
+ double ndistinct;
+ bool keep = true;
+ List *l2;
+
+ if (OidIsValid(relid))
+ {
+ statsTuple = SearchSysCache(STATRELATT,
+ ObjectIdGetDatum(relid),
+ Int16GetDatum(var->varattno),
+ 0, 0);
+ if (HeapTupleIsValid(statsTuple))
+ stats = (Form_pg_statistic) GETSTRUCT(statsTuple);
+ }
+ ndistinct = get_att_numdistinct(root, var, stats);
+ if (HeapTupleIsValid(statsTuple))
+ ReleaseSysCache(statsTuple);
+
+ foreach(l2, varinfos)
+ {
+ MyVarInfo *varinfo = (MyVarInfo *) lfirst(l2);
+
+ if (var->varno != varinfo->var->varno &&
+ vars_known_equal(root, var, varinfo->var))
+ {
+ /* Found a match */
+ if (varinfo->ndistinct <= ndistinct)
+ {
+ /* Keep older item, forget new one */
+ keep = false;
+ break;
+ }
+ else
+ {
+ /*
+ * Delete the older item. We assume lremove() will not
+ * break the lnext link of the item...
+ */
+ varinfos = lremove(varinfo, varinfos);
+ }
+ }
+ }
+
+ if (keep)
+ {
+ MyVarInfo *varinfo = (MyVarInfo *) palloc(sizeof(MyVarInfo));
+
+ varinfo->var = var;
+ varinfo->ndistinct = ndistinct;
+ varinfos = lcons(varinfo, varinfos);
+ }
+ }
+
+ /*
+ * Steps 3/4: group Vars by relation and estimate total numdistinct.
+ *
+ * For each iteration of the outer loop, we process the frontmost
+ * Var in varinfos, plus all other Vars in the same relation. We
+ * remove these Vars from the newvarinfos list for the next iteration.
+ * This is the easiest way to group Vars of same rel together.
+ */
+ Assert(varinfos != NIL);
+ numdistinct = 1.0;
+
+ do
+ {
+ MyVarInfo *varinfo1 = (MyVarInfo *) lfirst(varinfos);
+ RelOptInfo *rel = find_base_rel(root, varinfo1->var->varno);
+ double reldistinct = varinfo1->ndistinct;
+ List *newvarinfos = NIL;
+
+ /*
+ * Get the largest numdistinct estimate of the Vars for this rel.
+ * Also, construct new varinfos list of remaining Vars.
+ */
+ foreach(l, lnext(varinfos))
+ {
+ MyVarInfo *varinfo2 = (MyVarInfo *) lfirst(l);
+
+ if (varinfo2->var->varno == varinfo1->var->varno)
+ {
+ reldistinct *= varinfo2->ndistinct;
+ }
+ else
+ {
+ /* not time to process varinfo2 yet */
+ newvarinfos = lcons(varinfo2, newvarinfos);
+ }
+ }
+
+ /*
+ * Clamp to size of rel, multiply by restriction selectivity.
+ */
+ Assert(rel->reloptkind == RELOPT_BASEREL);
+ if (reldistinct > rel->tuples)
+ reldistinct = rel->tuples;
+ reldistinct *= rel->rows / rel->tuples;
+
+ /*
+ * Update estimate of total distinct groups.
+ */
+ numdistinct *= reldistinct;
+
+ varinfos = newvarinfos;
+ } while (varinfos != NIL);
+
+ /* Guard against out-of-range answers */
+ if (numdistinct > input_rows)
+ numdistinct = input_rows;
+ if (numdistinct < 1.0)
+ numdistinct = 1.0;
+
+ return numdistinct;
+}
+
+
+/*-------------------------------------------------------------------------
+ *
+ * Support routines
+ *
+ *-------------------------------------------------------------------------
+ */
+
/*
* get_var_maximum
* Estimate the maximum value of the specified variable.
/*
- * We want test whether the database's LC_COLLATE setting is safe for
+ * We want to test whether the database's LC_COLLATE setting is safe for
* LIKE/regexp index optimization.
*
* The key requirement here is that given a prefix string, say "foo",
*
* (In theory, locales other than C may be LIKE-safe so this function
* could be different from lc_collate_is_c(), but in a different
- * theory, non-C locales are completely unpredicable so it's unlikely
+ * theory, non-C locales are completely unpredictable so it's unlikely
* to happen.)
*
* Be sure to maintain the correspondence with the code in initdb.
* Portions Copyright (c) 1996-2002, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
- * $Id: parsenodes.h,v 1.215 2002/11/15 03:09:39 momjian Exp $
+ * $Id: parsenodes.h,v 1.216 2002/11/19 23:21:59 tgl Exp $
*
*-------------------------------------------------------------------------
*/
List *equi_key_list; /* list of lists of equijoined
* PathKeyItems */
List *query_pathkeys; /* desired pathkeys for query_planner() */
+ bool hasJoinRTEs; /* true if any RTEs are RTE_JOIN kind */
} Query;
* Portions Copyright (c) 1996-2002, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
- * $Id: planmain.h,v 1.61 2002/11/06 00:00:45 tgl Exp $
+ * $Id: planmain.h,v 1.62 2002/11/19 23:22:00 tgl Exp $
*
*-------------------------------------------------------------------------
*/
extern Sort *make_sort_from_pathkeys(Query *root, List *tlist,
Plan *lefttree, List *pathkeys);
extern Agg *make_agg(List *tlist, List *qual, AggStrategy aggstrategy,
- int ngrp, AttrNumber *grpColIdx, Plan *lefttree);
-extern Group *make_group(List *tlist, int ngrp, AttrNumber *grpColIdx,
+ int ngrp, AttrNumber *grpColIdx,
+ long numGroups, int numAggs,
+ Plan *lefttree);
+extern Group *make_group(List *tlist,
+ int ngrp, AttrNumber *grpColIdx, double numGroups,
Plan *lefttree);
extern Material *make_material(List *tlist, Plan *lefttree);
extern Unique *make_unique(List *tlist, Plan *lefttree, List *distinctList);
extern Relids distribute_quals_to_rels(Query *root, Node *jtnode);
extern void process_implied_equality(Query *root, Node *item1, Node *item2,
Oid sortop1, Oid sortop2);
+extern bool vars_known_equal(Query *root, Var *var1, Var *var2);
/*
* prototypes for plan/setrefs.c
* Portions Copyright (c) 1996-2002, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
- * $Id: selfuncs.h,v 1.9 2002/10/19 02:56:16 tgl Exp $
+ * $Id: selfuncs.h,v 1.10 2002/11/19 23:22:00 tgl Exp $
*
*-------------------------------------------------------------------------
*/
Selectivity *leftscan,
Selectivity *rightscan);
+extern double estimate_num_groups(Query *root, List *groupClauses,
+ double input_rows);
+
extern Datum btcostestimate(PG_FUNCTION_ARGS);
extern Datum rtcostestimate(PG_FUNCTION_ARGS);
extern Datum hashcostestimate(PG_FUNCTION_ARGS);
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