postgresql/src/backend/optimizer/util/pathnode.c

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/*-------------------------------------------------------------------------
*
* pathnode.c
* Routines to manipulate pathlists and create path nodes
*
* Portions Copyright (c) 1996-2000, PostgreSQL, Inc
* Portions Copyright (c) 1994, Regents of the University of California
*
*
* IDENTIFICATION
* $Header: /cvsroot/pgsql/src/backend/optimizer/util/pathnode.c,v 1.64 2000/05/30 00:49:49 momjian Exp $
*
*-------------------------------------------------------------------------
*/
#include <math.h>
#include "postgres.h"
#include "optimizer/cost.h"
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#include "optimizer/pathnode.h"
#include "optimizer/paths.h"
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#include "optimizer/restrictinfo.h"
/*****************************************************************************
* MISC. PATH UTILITIES
*****************************************************************************/
/*
* compare_path_costs
* Return -1, 0, or +1 according as path1 is cheaper, the same cost,
* or more expensive than path2 for the specified criterion.
*/
int
compare_path_costs(Path *path1, Path *path2, CostSelector criterion)
{
if (criterion == STARTUP_COST)
{
if (path1->startup_cost < path2->startup_cost)
return -1;
if (path1->startup_cost > path2->startup_cost)
return +1;
/*
* If paths have the same startup cost (not at all unlikely),
* order them by total cost.
*/
if (path1->total_cost < path2->total_cost)
return -1;
if (path1->total_cost > path2->total_cost)
return +1;
}
else
{
if (path1->total_cost < path2->total_cost)
return -1;
if (path1->total_cost > path2->total_cost)
return +1;
/*
* If paths have the same total cost, order them by startup cost.
*/
if (path1->startup_cost < path2->startup_cost)
return -1;
if (path1->startup_cost > path2->startup_cost)
return +1;
}
return 0;
}
/*
* compare_path_fractional_costs
* Return -1, 0, or +1 according as path1 is cheaper, the same cost,
* or more expensive than path2 for fetching the specified fraction
* of the total tuples.
*
* If fraction is <= 0 or > 1, we interpret it as 1, ie, we select the
* path with the cheaper total_cost.
*/
int
compare_fractional_path_costs(Path *path1, Path *path2,
double fraction)
{
Cost cost1,
cost2;
if (fraction <= 0.0 || fraction >= 1.0)
return compare_path_costs(path1, path2, TOTAL_COST);
cost1 = path1->startup_cost +
fraction * (path1->total_cost - path1->startup_cost);
cost2 = path2->startup_cost +
fraction * (path2->total_cost - path2->startup_cost);
if (cost1 < cost2)
return -1;
if (cost1 > cost2)
return +1;
return 0;
}
/*
* set_cheapest
* Find the minimum-cost paths from among a relation's paths,
* and save them in the rel's cheapest-path fields.
*
* This is normally called only after we've finished constructing the path
* list for the rel node.
*
* If we find two paths of identical costs, try to keep the better-sorted one.
* The paths might have unrelated sort orderings, in which case we can only
* guess which might be better to keep, but if one is superior then we
* definitely should keep it.
*/
void
set_cheapest(RelOptInfo *parent_rel)
{
List *pathlist = parent_rel->pathlist;
List *p;
Path *cheapest_startup_path;
Path *cheapest_total_path;
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Assert(IsA(parent_rel, RelOptInfo));
Assert(pathlist != NIL);
cheapest_startup_path = cheapest_total_path = (Path *) lfirst(pathlist);
foreach(p, lnext(pathlist))
{
Path *path = (Path *) lfirst(p);
int cmp;
cmp = compare_path_costs(cheapest_startup_path, path, STARTUP_COST);
if (cmp > 0 ||
(cmp == 0 &&
compare_pathkeys(cheapest_startup_path->pathkeys,
path->pathkeys) == PATHKEYS_BETTER2))
cheapest_startup_path = path;
cmp = compare_path_costs(cheapest_total_path, path, TOTAL_COST);
if (cmp > 0 ||
(cmp == 0 &&
compare_pathkeys(cheapest_total_path->pathkeys,
path->pathkeys) == PATHKEYS_BETTER2))
cheapest_total_path = path;
}
parent_rel->cheapest_startup_path = cheapest_startup_path;
parent_rel->cheapest_total_path = cheapest_total_path;
}
/*
* add_path
* Consider a potential implementation path for the specified parent rel,
* and add it to the rel's pathlist if it is worthy of consideration.
* A path is worthy if it has either a better sort order (better pathkeys)
* or cheaper cost (on either dimension) than any of the existing old paths.
*
* Unless parent_rel->pruneable is false, we also remove from the rel's
* pathlist any old paths that are dominated by new_path --- that is,
* new_path is both cheaper and at least as well ordered.
*
* NOTE: discarded Path objects are immediately pfree'd to reduce planner
* memory consumption. We dare not try to free the substructure of a Path,
* since much of it may be shared with other Paths or the query tree itself;
* but just recycling discarded Path nodes is a very useful savings in
* a large join tree.
*
* 'parent_rel' is the relation entry to which the path corresponds.
* 'new_path' is a potential path for parent_rel.
*
* Returns nothing, but modifies parent_rel->pathlist.
*/
void
add_path(RelOptInfo *parent_rel, Path *new_path)
{
bool accept_new = true; /* unless we find a superior old
* path */
List *p1_prev = NIL;
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List *p1;
/*
* Loop to check proposed new path against old paths. Note it is
* possible for more than one old path to be tossed out because
* new_path dominates it.
*/
foreach(p1, parent_rel->pathlist)
{
Path *old_path = (Path *) lfirst(p1);
bool remove_old = false; /* unless new proves superior */
int costcmp;
costcmp = compare_path_costs(new_path, old_path, TOTAL_COST);
/*
* If the two paths compare differently for startup and total
* cost, then we want to keep both, and we can skip the (much
* slower) comparison of pathkeys. If they compare the same,
* proceed with the pathkeys comparison. Note this test relies on
* the fact that compare_path_costs will only return 0 if both
* costs are equal (and, therefore, there's no need to call it
* twice in that case).
*/
if (costcmp == 0 ||
costcmp == compare_path_costs(new_path, old_path, STARTUP_COST))
{
switch (compare_pathkeys(new_path->pathkeys, old_path->pathkeys))
{
case PATHKEYS_EQUAL:
if (costcmp < 0)
remove_old = true; /* new dominates old */
else
accept_new = false; /* old equals or dominates
* new */
break;
case PATHKEYS_BETTER1:
if (costcmp <= 0)
remove_old = true; /* new dominates old */
break;
case PATHKEYS_BETTER2:
if (costcmp >= 0)
accept_new = false; /* old dominates new */
break;
case PATHKEYS_DIFFERENT:
/* keep both paths, since they have different ordering */
break;
}
}
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/*
* Remove current element from pathlist if dominated by new,
* unless xfunc told us not to remove any paths.
*/
if (remove_old && parent_rel->pruneable)
{
if (p1_prev)
lnext(p1_prev) = lnext(p1);
else
parent_rel->pathlist = lnext(p1);
pfree(old_path);
}
else
p1_prev = p1;
/*
* If we found an old path that dominates new_path, we can quit
* scanning the pathlist; we will not add new_path, and we assume
* new_path cannot dominate any other elements of the pathlist.
*/
if (!accept_new)
break;
}
if (accept_new)
{
/* Accept the path */
parent_rel->pathlist = lcons(new_path, parent_rel->pathlist);
}
else
{
/* Reject and recycle the path */
pfree(new_path);
}
}
/*****************************************************************************
* PATH NODE CREATION ROUTINES
*****************************************************************************/
/*
* create_seqscan_path
* Creates a path corresponding to a sequential scan, returning the
* pathnode.
*
*/
Path *
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create_seqscan_path(RelOptInfo *rel)
{
Path *pathnode = makeNode(Path);
pathnode->pathtype = T_SeqScan;
pathnode->parent = rel;
pathnode->pathkeys = NIL; /* seqscan has unordered result */
cost_seqscan(pathnode, rel);
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return pathnode;
}
/*
* create_index_path
* Creates a path node for an index scan.
*
* 'rel' is the parent rel
* 'index' is an index on 'rel'
* 'restriction_clauses' is a list of RestrictInfo nodes
* to be used as index qual conditions in the scan.
* 'indexscandir' is ForwardScanDirection or BackwardScanDirection
* if the caller expects a specific scan direction,
* or NoMovementScanDirection if the caller is willing to accept
* an unordered index.
*
* Returns the new path node.
*/
IndexPath *
create_index_path(Query *root,
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RelOptInfo *rel,
IndexOptInfo *index,
List *restriction_clauses,
ScanDirection indexscandir)
{
IndexPath *pathnode = makeNode(IndexPath);
List *indexquals;
pathnode->path.pathtype = T_IndexScan;
pathnode->path.parent = rel;
pathnode->path.pathkeys = build_index_pathkeys(root, rel, index,
indexscandir);
if (pathnode->path.pathkeys == NIL)
{
/* No ordering available from index, is that OK? */
if (!ScanDirectionIsNoMovement(indexscandir))
elog(ERROR, "create_index_path: failed to create ordered index scan");
}
else
{
/*
* The index is ordered, and build_index_pathkeys defaulted to
* forward scan, so make sure we mark the pathnode properly.
*/
if (ScanDirectionIsNoMovement(indexscandir))
indexscandir = ForwardScanDirection;
}
indexquals = get_actual_clauses(restriction_clauses);
/* expand special operators to indexquals the executor can handle */
indexquals = expand_indexqual_conditions(indexquals);
/*
* We are making a pathnode for a single-scan indexscan; therefore,
* both indexid and indexqual should be single-element lists.
*/
pathnode->indexid = lconsi(index->indexoid, NIL);
pathnode->indexqual = lcons(indexquals, NIL);
pathnode->indexscandir = indexscandir;
/*
* This routine is only used to generate "standalone" indexpaths, not
* nestloop inner indexpaths. So joinrelids is always NIL and the
* number of rows is the same as the parent rel's estimate.
*/
pathnode->joinrelids = NIL; /* no join clauses here */
pathnode->rows = rel->rows;
cost_index(&pathnode->path, root, rel, index, indexquals, false);
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return pathnode;
}
/*
* create_tidscan_path
* Creates a path corresponding to a tid_direct scan, returning the
* pathnode.
*
*/
TidPath *
create_tidscan_path(RelOptInfo *rel, List *tideval)
{
TidPath *pathnode = makeNode(TidPath);
pathnode->path.pathtype = T_TidScan;
pathnode->path.parent = rel;
pathnode->path.pathkeys = NIL;
pathnode->tideval = copyObject(tideval); /* is copy really
* necessary? */
pathnode->unjoined_relids = NIL;
cost_tidscan(&pathnode->path, rel, tideval);
/*
* divide selectivity for each clause to get an equal selectivity as
* IndexScan does OK ?
*/
return pathnode;
}
/*
* create_nestloop_path
* Creates a pathnode corresponding to a nestloop join between two
* relations.
*
* 'joinrel' is the join relation.
* 'outer_path' is the outer path
* 'inner_path' is the inner path
* 'restrict_clauses' are the RestrictInfo nodes to apply at the join
* 'pathkeys' are the path keys of the new join path
*
* Returns the resulting path node.
*
*/
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NestPath *
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create_nestloop_path(RelOptInfo *joinrel,
Path *outer_path,
Path *inner_path,
List *restrict_clauses,
List *pathkeys)
{
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NestPath *pathnode = makeNode(NestPath);
pathnode->path.pathtype = T_NestLoop;
pathnode->path.parent = joinrel;
pathnode->outerjoinpath = outer_path;
pathnode->innerjoinpath = inner_path;
pathnode->joinrestrictinfo = restrict_clauses;
pathnode->path.pathkeys = pathkeys;
cost_nestloop(&pathnode->path, outer_path, inner_path, restrict_clauses);
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return pathnode;
}
/*
* create_mergejoin_path
* Creates a pathnode corresponding to a mergejoin join between
* two relations
*
* 'joinrel' is the join relation
* 'outer_path' is the outer path
* 'inner_path' is the inner path
* 'restrict_clauses' are the RestrictInfo nodes to apply at the join
* 'pathkeys' are the path keys of the new join path
* 'mergeclauses' are the RestrictInfo nodes to use as merge clauses
* (this should be a subset of the restrict_clauses list)
* 'outersortkeys' are the sort varkeys for the outer relation
* 'innersortkeys' are the sort varkeys for the inner relation
*
*/
MergePath *
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create_mergejoin_path(RelOptInfo *joinrel,
Path *outer_path,
Path *inner_path,
List *restrict_clauses,
List *pathkeys,
List *mergeclauses,
List *outersortkeys,
List *innersortkeys)
{
MergePath *pathnode = makeNode(MergePath);
/*
* If the given paths are already well enough ordered, we can skip
* doing an explicit sort.
*/
if (outersortkeys &&
pathkeys_contained_in(outersortkeys, outer_path->pathkeys))
outersortkeys = NIL;
if (innersortkeys &&
pathkeys_contained_in(innersortkeys, inner_path->pathkeys))
innersortkeys = NIL;
pathnode->jpath.path.pathtype = T_MergeJoin;
pathnode->jpath.path.parent = joinrel;
pathnode->jpath.outerjoinpath = outer_path;
pathnode->jpath.innerjoinpath = inner_path;
pathnode->jpath.joinrestrictinfo = restrict_clauses;
pathnode->jpath.path.pathkeys = pathkeys;
pathnode->path_mergeclauses = mergeclauses;
pathnode->outersortkeys = outersortkeys;
pathnode->innersortkeys = innersortkeys;
cost_mergejoin(&pathnode->jpath.path,
outer_path,
inner_path,
restrict_clauses,
outersortkeys,
innersortkeys);
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return pathnode;
}
/*
* create_hashjoin_path
* Creates a pathnode corresponding to a hash join between two relations.
*
* 'joinrel' is the join relation
* 'outer_path' is the cheapest outer path
* 'inner_path' is the cheapest inner path
* 'restrict_clauses' are the RestrictInfo nodes to apply at the join
* 'hashclauses' is a list of the hash join clause (always a 1-element list)
* (this should be a subset of the restrict_clauses list)
* 'innerdisbursion' is an estimate of the disbursion of the inner hash key
*
*/
HashPath *
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create_hashjoin_path(RelOptInfo *joinrel,
Path *outer_path,
Path *inner_path,
List *restrict_clauses,
List *hashclauses,
Selectivity innerdisbursion)
{
HashPath *pathnode = makeNode(HashPath);
pathnode->jpath.path.pathtype = T_HashJoin;
pathnode->jpath.path.parent = joinrel;
pathnode->jpath.outerjoinpath = outer_path;
pathnode->jpath.innerjoinpath = inner_path;
pathnode->jpath.joinrestrictinfo = restrict_clauses;
/* A hashjoin never has pathkeys, since its ordering is unpredictable */
pathnode->jpath.path.pathkeys = NIL;
pathnode->path_hashclauses = hashclauses;
cost_hashjoin(&pathnode->jpath.path,
outer_path,
inner_path,
restrict_clauses,
innerdisbursion);
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return pathnode;
}