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/*-------------------------------------------------------------------------
*
* pathkeys.c
* Utilities for matching and building path keys
*
* Portions Copyright (c) 1996-2000, PostgreSQL, Inc
* Portions Copyright (c) 1994, Regents of the University of California
*
*
* IDENTIFICATION
* $Header: /cvsroot/pgsql/src/backend/optimizer/path/pathkeys.c,v 1.21 2000/04/12 17:15:20 momjian Exp $
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
#include "nodes/makefuncs.h"
#include "optimizer/clauses.h"
#include "optimizer/joininfo.h"
#include "optimizer/pathnode.h"
#include "optimizer/paths.h"
#include "optimizer/tlist.h"
#include "optimizer/var.h"
#include "parser/parsetree.h"
#include "parser/parse_func.h"
#include "utils/lsyscache.h"
static PathKeyItem *makePathKeyItem(Node *key, Oid sortop);
static List *make_canonical_pathkey(Query *root, PathKeyItem *item);
static Var *find_indexkey_var(Query *root, RelOptInfo *rel,
AttrNumber varattno);
/*--------------------
* Explanation of Path.pathkeys
*
* Path.pathkeys is a List of Lists of PathKeyItem nodes that represent
* the sort order of the result generated by the Path. The n'th sublist
* represents the n'th sort key of the result.
*
* In single/base relation RelOptInfo's, the Paths represent various ways
* of scanning the relation and the resulting ordering of the tuples.
* Sequential scan Paths have NIL pathkeys, indicating no known ordering.
* Index scans have Path.pathkeys that represent the chosen index's ordering,
* if any. A single-key index would create a pathkey with a single sublist,
* e.g. ( (tab1.indexkey1/sortop1) ). A multi-key index generates a sublist
* per key, e.g. ( (tab1.indexkey1/sortop1) (tab1.indexkey2/sortop2) ) which
* shows major sort by indexkey1 (ordering by sortop1) and minor sort by
* indexkey2 with sortop2.
*
* Note that a multi-pass indexscan (OR clause scan) has NIL pathkeys since
* we can say nothing about the overall order of its result. Also, an
* indexscan on an unordered type of index generates NIL pathkeys. However,
* we can always create a pathkey by doing an explicit sort. The pathkeys
* for a sort plan's output just represent the sort key fields and the
* ordering operators used.
*
* Things get more interesting when we consider joins. Suppose we do a
* mergejoin between A and B using the mergeclause A.X = B.Y. The output
* of the mergejoin is sorted by X --- but it is also sorted by Y. We
* represent this fact by listing both keys in a single pathkey sublist:
* ( (A.X/xsortop B.Y/ysortop) ). This pathkey asserts that the major
* sort order of the Path can be taken to be *either* A.X or B.Y.
* They are equal, so they are both primary sort keys. By doing this,
* we allow future joins to use either var as a pre-sorted key, so upper
* Mergejoins may be able to avoid having to re-sort the Path. This is
* why pathkeys is a List of Lists.
*
* We keep a sortop associated with each PathKeyItem because cross-data-type
* mergejoins are possible; for example int4 = int8 is mergejoinable.
* In this case we need to remember that the left var is ordered by int4lt
* while the right var is ordered by int8lt. So the different members of
* each sublist could have different sortops.
*
* Note that while the order of the top list is meaningful (primary vs.
* secondary sort key), the order of each sublist is arbitrary. Each sublist
* should be regarded as a set of equivalent keys, with no significance
* to the list order.
*
* With a little further thought, it becomes apparent that pathkeys for
* joins need not only come from mergejoins. For example, if we do a
* nestloop join between outer relation A and inner relation B, then any
* pathkeys relevant to A are still valid for the join result: we have
* not altered the order of the tuples from A. Even more interesting,
* if there was a mergeclause (more formally, an "equijoin clause") A.X=B.Y,
* and A.X was a pathkey for the outer relation A, then we can assert that
* B.Y is a pathkey for the join result; X was ordered before and still is,
* and the joined values of Y are equal to the joined values of X, so Y
* must now be ordered too. This is true even though we used no mergejoin.
*
* More generally, whenever we have an equijoin clause A.X = B.Y and a
* pathkey A.X, we can add B.Y to that pathkey if B is part of the joined
* relation the pathkey is for, *no matter how we formed the join*.
*
* In short, then: when producing the pathkeys for a merge or nestloop join,
* we can keep all of the keys of the outer path, since the ordering of the
* outer path will be preserved in the result. Furthermore, we can add to
* each pathkey sublist any inner vars that are equijoined to any of the
* outer vars in the sublist; this works regardless of whether we are
* implementing the join using that equijoin clause as a mergeclause,
* or merely enforcing the clause after-the-fact as a qpqual filter.
*
* Although Hashjoins also work only with equijoin operators, it is *not*
* safe to consider the output of a Hashjoin to be sorted in any particular
* order --- not even the outer path's order. This is true because the
* executor might have to split the join into multiple batches. Therefore
* a Hashjoin is always given NIL pathkeys. (Also, we need to use only
* mergejoinable operators when deducing which inner vars are now sorted,
* because a mergejoin operator tells us which left- and right-datatype
* sortops can be considered equivalent, whereas a hashjoin operator
* doesn't imply anything about sort order.)
*
* Pathkeys are also useful to represent an ordering that we wish to achieve,
* since they are easily compared to the pathkeys of a potential candidate
* path. So, SortClause lists are turned into pathkeys lists for use inside
* the optimizer.
*
* OK, now for how it *really* works:
*
* We did implement pathkeys just as described above, and found that the
* planner spent a huge amount of time comparing pathkeys, because the
* representation of pathkeys as unordered lists made it expensive to decide
* whether two were equal or not. So, we've modified the representation
* as described next.
*
* If we scan the WHERE clause for equijoin clauses (mergejoinable clauses)
* during planner startup, we can construct lists of equivalent pathkey items
* for the query. There could be more than two items per equivalence set;
* for example, WHERE A.X = B.Y AND B.Y = C.Z AND D.R = E.S creates the
* equivalence sets { A.X B.Y C.Z } and { D.R E.S } (plus associated sortops).
* Any pathkey item that belongs to an equivalence set implies that all the
* other items in its set apply to the relation too, or at least all the ones
* that are for fields present in the relation. (Some of the items in the
* set might be for as-yet-unjoined relations.) Furthermore, any multi-item
* pathkey sublist that appears at any stage of planning the query *must* be
* a subset of one or another of these equivalence sets; there's no way we'd
* have put two items in the same pathkey sublist unless they were equijoined
* in WHERE.
*
* Now suppose that we allow a pathkey sublist to contain pathkey items for
* vars that are not yet part of the pathkey's relation. This introduces
* no logical difficulty, because such items can easily be seen to be
* irrelevant; we just mandate that they be ignored. But having allowed
* this, we can declare (by fiat) that any multiple-item pathkey sublist
* must be equal() to the appropriate equivalence set. In effect, whenever
* we make a pathkey sublist that mentions any var appearing in an
* equivalence set, we instantly add all the other vars equivalenced to it,
* whether they appear yet in the pathkey's relation or not. And we also
* mandate that the pathkey sublist appear in the same order as the
* equivalence set it comes from. (In practice, we simply return a pointer
* to the relevant equivalence set without building any new sublist at all.)
* This makes comparing pathkeys very simple and fast, and saves a lot of
* work and memory space for pathkey construction as well.
*
* Note that pathkey sublists having just one item still exist, and are
* not expected to be equal() to any equivalence set. This occurs when
* we describe a sort order that involves a var that's not mentioned in
* any equijoin clause of the WHERE. We could add singleton sets containing
* such vars to the query's list of equivalence sets, but there's little
* point in doing so.
*
* By the way, it's OK and even useful for us to build equivalence sets
* that mention multiple vars from the same relation. For example, if
* we have WHERE A.X = A.Y and we are scanning A using an index on X,
* we can legitimately conclude that the path is sorted by Y as well;
* and this could be handy if Y is the variable used in other join clauses
* or ORDER BY. So, any WHERE clause with a mergejoinable operator can
* contribute to an equivalence set, even if it's not a join clause.
*
* -- bjm & tgl
*--------------------
*/
/*
* makePathKeyItem
* create a PathKeyItem node
*/
static PathKeyItem *
makePathKeyItem(Node *key, Oid sortop)
{
PathKeyItem *item = makeNode(PathKeyItem);
item->key = key;
item->sortop = sortop;
return item;
}
/*
* add_equijoined_keys
* The given clause has a mergejoinable operator, so its two sides
* can be considered equal after restriction clause application; in
* particular, any pathkey mentioning one side (with the correct sortop)
* can be expanded to include the other as well. Record the vars and
* associated sortops in the query's equi_key_list for future use.
*
* The query's equi_key_list field points to a list of sublists of PathKeyItem
* nodes, where each sublist is a set of two or more vars+sortops that have
* been identified as logically equivalent (and, therefore, we may consider
* any two in a set to be equal). As described above, we will subsequently
* use direct pointers to one of these sublists to represent any pathkey
* that involves an equijoined variable.
*
* This code would actually work fine with expressions more complex than
* a single Var, but currently it won't see any because check_mergejoinable
* won't accept such clauses as mergejoinable.
*/
void
add_equijoined_keys(Query *root, RestrictInfo *restrictinfo)
{
Expr *clause = restrictinfo->clause;
PathKeyItem *item1 = makePathKeyItem((Node *) get_leftop(clause),
restrictinfo->left_sortop);
PathKeyItem *item2 = makePathKeyItem((Node *) get_rightop(clause),
restrictinfo->right_sortop);
List *newset,
*cursetlink;
/* We might see a clause X=X; don't make a single-element list from it */
if (equal(item1, item2))
return;
/*
* Our plan is to make a two-element set, then sweep through the
* existing equijoin sets looking for matches to item1 or item2. When
* we find one, we remove that set from equi_key_list and union it
* into our new set. When done, we add the new set to the front of
* equi_key_list.
*
* This is a standard UNION-FIND problem, for which there exist better
* data structures than simple lists. If this code ever proves to be
* a bottleneck then it could be sped up --- but for now, simple is
* beautiful.
*/
newset = lcons(item1, lcons(item2, NIL));
foreach(cursetlink, root->equi_key_list)
{
List *curset = lfirst(cursetlink);
if (member(item1, curset) || member(item2, curset))
{
/* Found a set to merge into our new set */
newset = LispUnion(newset, curset);
/*
* Remove old set from equi_key_list. NOTE this does not
* change lnext(cursetlink), so the outer foreach doesn't
* break.
*/
root->equi_key_list = lremove(curset, root->equi_key_list);
freeList(curset); /* might as well recycle old cons cells */
}
}
root->equi_key_list = lcons(newset, root->equi_key_list);
}
/*
* make_canonical_pathkey
* Given a PathKeyItem, find the equi_key_list subset it is a member of,
* if any. If so, return a pointer to that sublist, which is the
* canonical representation (for this query) of that PathKeyItem's
* equivalence set. If it is not found, return a single-element list
* containing the PathKeyItem (when the item has no equivalence peers,
* we just allow it to be a standalone list).
*
* Note that this function must not be used until after we have completed
* scanning the WHERE clause for equijoin operators.
*/
static List *
make_canonical_pathkey(Query *root, PathKeyItem *item)
{
List *cursetlink;
foreach(cursetlink, root->equi_key_list)
{
List *curset = lfirst(cursetlink);
if (member(item, curset))
return curset;
}
return lcons(item, NIL);
}
/*
* canonicalize_pathkeys
* Convert a not-necessarily-canonical pathkeys list to canonical form.
*
* Note that this function must not be used until after we have completed
* scanning the WHERE clause for equijoin operators.
*/
List *
canonicalize_pathkeys(Query *root, List *pathkeys)
{
List *new_pathkeys = NIL;
List *i;
foreach(i, pathkeys)
{
List *pathkey = (List *) lfirst(i);
PathKeyItem *item;
/*
* It's sufficient to look at the first entry in the sublist; if
* there are more entries, they're already part of an equivalence
* set by definition.
*/
Assert(pathkey != NIL);
item = (PathKeyItem *) lfirst(pathkey);
new_pathkeys = lappend(new_pathkeys,
make_canonical_pathkey(root, item));
}
return new_pathkeys;
}
/****************************************************************************
* PATHKEY COMPARISONS
****************************************************************************/
/*
* compare_pathkeys
* Compare two pathkeys to see if they are equivalent, and if not whether
* one is "better" than the other.
*
* A pathkey can be considered better than another if it is a superset:
* it contains all the keys of the other plus more. For example, either
* ((A) (B)) or ((A B)) is better than ((A)).
*
* Because we actually only expect to see canonicalized pathkey sublists,
* we don't have to do the full two-way-subset-inclusion test on each
* pair of sublists that is implied by the above statement. Instead we
* just do an equal(). In the normal case where multi-element sublists
* are pointers into the root's equi_key_list, equal() will be very fast:
* it will recognize pointer equality when the sublists are the same,
* and will fail at the first sublist element when they are not.
*
* Yes, this gets called enough to be worth coding it this tensely.
*/
PathKeysComparison
compare_pathkeys(List *keys1, List *keys2)
{
List *key1,
*key2;
for (key1 = keys1, key2 = keys2;
key1 != NIL && key2 != NIL;
key1 = lnext(key1), key2 = lnext(key2))
{
List *subkey1 = lfirst(key1);
List *subkey2 = lfirst(key2);
/*
* We will never have two subkeys where one is a subset of the
* other, because of the canonicalization explained above. Either
* they are equal or they ain't.
*/
if (!equal(subkey1, subkey2))
return PATHKEYS_DIFFERENT; /* no need to keep looking */
}
/*
* If we reached the end of only one list, the other is longer and
* therefore not a subset. (We assume the additional sublist(s) of
* the other list are not NIL --- no pathkey list should ever have a
* NIL sublist.)
*/
if (key1 == NIL && key2 == NIL)
return PATHKEYS_EQUAL;
if (key1 != NIL)
return PATHKEYS_BETTER1;/* key1 is longer */
return PATHKEYS_BETTER2; /* key2 is longer */
}
/*
* pathkeys_contained_in
* Common special case of compare_pathkeys: we just want to know
* if keys2 are at least as well sorted as keys1.
*/
bool
pathkeys_contained_in(List *keys1, List *keys2)
{
switch (compare_pathkeys(keys1, keys2))
{
case PATHKEYS_EQUAL:
case PATHKEYS_BETTER2:
return true;
default:
break;
}
return false;
}
/*
* get_cheapest_path_for_pathkeys
* Find the cheapest path (according to the specified criterion) that
* satisfies the given pathkeys. Return NULL if no such path.
*
* 'paths' is a list of possible paths that all generate the same relation
* 'pathkeys' represents a required ordering (already canonicalized!)
* 'cost_criterion' is STARTUP_COST or TOTAL_COST
*/
Path *
get_cheapest_path_for_pathkeys(List *paths, List *pathkeys,
CostSelector cost_criterion)
{
Path *matched_path = NULL;
List *i;
foreach(i, paths)
{
Path *path = (Path *) lfirst(i);
/*
* Since cost comparison is a lot cheaper than pathkey comparison,
* do that first. (XXX is that still true?)
*/
if (matched_path != NULL &&
compare_path_costs(matched_path, path, cost_criterion) <= 0)
continue;
if (pathkeys_contained_in(pathkeys, path->pathkeys))
matched_path = path;
}
return matched_path;
}
/*
* get_cheapest_fractional_path_for_pathkeys
* Find the cheapest path (for retrieving a specified fraction of all
* the tuples) that satisfies the given pathkeys.
* Return NULL if no such path.
*
* See compare_fractional_path_costs() for the interpretation of the fraction
* parameter.
*
* 'paths' is a list of possible paths that all generate the same relation
* 'pathkeys' represents a required ordering (already canonicalized!)
* 'fraction' is the fraction of the total tuples expected to be retrieved
*/
Path *
get_cheapest_fractional_path_for_pathkeys(List *paths,
List *pathkeys,
double fraction)
{
Path *matched_path = NULL;
List *i;
foreach(i, paths)
{
Path *path = (Path *) lfirst(i);
/*
* Since cost comparison is a lot cheaper than pathkey comparison,
* do that first.
*/
if (matched_path != NULL &&
compare_fractional_path_costs(matched_path, path, fraction) <= 0)
continue;
if (pathkeys_contained_in(pathkeys, path->pathkeys))
matched_path = path;
}
return matched_path;
}
/****************************************************************************
* NEW PATHKEY FORMATION
****************************************************************************/
/*
* build_index_pathkeys
* Build a pathkeys list that describes the ordering induced by an index
* scan using the given index. (Note that an unordered index doesn't
* induce any ordering; such an index will have no sortop OIDS in
* its "ordering" field, and we will return NIL.)
*
* If 'scandir' is BackwardScanDirection, attempt to build pathkeys
* representing a backwards scan of the index. Return NIL if can't do it.
*/
List *
build_index_pathkeys(Query *root,
RelOptInfo *rel,
IndexOptInfo *index,
ScanDirection scandir)
{
List *retval = NIL;
int *indexkeys = index->indexkeys;
Oid *ordering = index->ordering;
PathKeyItem *item;
Oid sortop;
if (!indexkeys || indexkeys[0] == 0 ||
!ordering || ordering[0] == InvalidOid)
return NIL; /* unordered index? */
if (index->indproc)
{
/* Functional index: build a representation of the function call */
Func *funcnode = makeNode(Func);
List *funcargs = NIL;
funcnode->funcid = index->indproc;
funcnode->functype = get_func_rettype(index->indproc);
funcnode->funcisindex = false;
funcnode->funcsize = 0;
funcnode->func_fcache = NULL;
/* we assume here that the function returns a base type... */
funcnode->func_tlist = setup_base_tlist(funcnode->functype);
funcnode->func_planlist = NIL;
while (*indexkeys != 0)
{
funcargs = lappend(funcargs,
find_indexkey_var(root, rel, *indexkeys));
indexkeys++;
}
sortop = *ordering;
if (ScanDirectionIsBackward(scandir))
{
sortop = get_commutator(sortop);
if (sortop == InvalidOid)
return NIL; /* oops, no reverse sort operator? */
}
/* Make a one-sublist pathkeys list for the function expression */
item = makePathKeyItem((Node *) make_funcclause(funcnode, funcargs),
sortop);
retval = lcons(make_canonical_pathkey(root, item), NIL);
}
else
{
/* Normal non-functional index */
while (*indexkeys != 0 && *ordering != InvalidOid)
{
Var *relvar = find_indexkey_var(root, rel, *indexkeys);
sortop = *ordering;
if (ScanDirectionIsBackward(scandir))
{
sortop = get_commutator(sortop);
if (sortop == InvalidOid)
break; /* oops, no reverse sort operator? */
}
/* OK, make a sublist for this sort key */
item = makePathKeyItem((Node *) relvar, sortop);
retval = lappend(retval, make_canonical_pathkey(root, item));
indexkeys++;
ordering++;
}
}
return retval;
}
/*
* Find or make a Var node for the specified attribute of the rel.
*
* We first look for the var in the rel's target list, because that's
* easy and fast. But the var might not be there (this should normally
* only happen for vars that are used in WHERE restriction clauses,
* but not in join clauses or in the SELECT target list). In that case,
* gin up a Var node the hard way.
*/
static Var *
find_indexkey_var(Query *root, RelOptInfo *rel, AttrNumber varattno)
{
List *temp;
int relid;
Oid reloid,
vartypeid;
int32 type_mod;
foreach(temp, rel->targetlist)
{
Var *tle_var = get_expr(lfirst(temp));
if (IsA(tle_var, Var) &&tle_var->varattno == varattno)
return tle_var;
}
relid = lfirsti(rel->relids);
reloid = getrelid(relid, root->rtable);
vartypeid = get_atttype(reloid, varattno);
type_mod = get_atttypmod(reloid, varattno);
return makeVar(relid, varattno, vartypeid, type_mod, 0);
}
/*
* build_join_pathkeys
* Build the path keys for a join relation constructed by mergejoin or
* nestloop join. These keys should include all the path key vars of the
* outer path (since the join will retain the ordering of the outer path)
* plus any vars of the inner path that are equijoined to the outer vars.
*
* Per the discussion at the top of this file, equijoined inner vars
* can be considered path keys of the result, just the same as the outer
* vars they were joined with; furthermore, it doesn't matter what kind
* of join algorithm is actually used.
*
* 'outer_pathkeys' is the list of the outer path's path keys
* 'join_rel_tlist' is the target list of the join relation
* 'equi_key_list' is the query's list of pathkeyitem equivalence sets
*
* Returns the list of new path keys.
*/
List *
build_join_pathkeys(List *outer_pathkeys,
List *join_rel_tlist,
List *equi_key_list)
{
/*
* This used to be quite a complex bit of code, but now that all
* pathkey sublists start out life canonicalized, we don't have to do
* a darn thing here! The inner-rel vars we used to need to add are
* *already* part of the outer pathkey!
*
* I'd remove the routine entirely, but maybe someday we'll need it...
*/
return outer_pathkeys;
}
/****************************************************************************
* PATHKEYS AND SORT CLAUSES
****************************************************************************/
/*
* make_pathkeys_for_sortclauses
* Generate a pathkeys list that represents the sort order specified
* by a list of SortClauses (GroupClauses will work too!)
*
* NB: the result is NOT in canonical form, but must be passed through
* canonicalize_pathkeys() before it can be used for comparisons or
* labeling relation sort orders. (We do things this way because
* union_planner needs to be able to construct requested pathkeys before
* the pathkey equivalence sets have been created for the query.)
*
* 'sortclauses' is a list of SortClause or GroupClause nodes
* 'tlist' is the targetlist to find the referenced tlist entries in
*/
List *
make_pathkeys_for_sortclauses(List *sortclauses,
List *tlist)
{
List *pathkeys = NIL;
List *i;
foreach(i, sortclauses)
{
SortClause *sortcl = (SortClause *) lfirst(i);
Node *sortkey;
PathKeyItem *pathkey;
sortkey = get_sortgroupclause_expr(sortcl, tlist);
pathkey = makePathKeyItem(sortkey, sortcl->sortop);
/*
* The pathkey becomes a one-element sublist, for now;
* canonicalize_pathkeys() might replace it with a longer sublist
* later.
*/
pathkeys = lappend(pathkeys, lcons(pathkey, NIL));
}
return pathkeys;
}
/****************************************************************************
* PATHKEYS AND MERGECLAUSES
****************************************************************************/
/*
* find_mergeclauses_for_pathkeys
* This routine attempts to find a set of mergeclauses that can be
* used with a specified ordering for one of the input relations.
* If successful, it returns a list of mergeclauses.
*
* 'pathkeys' is a pathkeys list showing the ordering of an input path.
* It doesn't matter whether it is for the inner or outer path.
* 'restrictinfos' is a list of mergejoinable restriction clauses for the
* join relation being formed.
*
* The result is NIL if no merge can be done, else a maximal list of
* usable mergeclauses (represented as a list of their restrictinfo nodes).
*
* XXX Ideally we ought to be considering context, ie what path orderings
* are available on the other side of the join, rather than just making
* an arbitrary choice among the mergeclause orders that will work for
* this side of the join.
*/
List *
find_mergeclauses_for_pathkeys(List *pathkeys, List *restrictinfos)
{
List *mergeclauses = NIL;
List *i;
foreach(i, pathkeys)
{
List *pathkey = lfirst(i);
RestrictInfo *matched_restrictinfo = NULL;
List *j;
/*
* We can match any of the keys in this pathkey sublist, since
* they're all equivalent. And we can match against either left
* or right side of any mergejoin clause we haven't used yet. For
* the moment we use a dumb "greedy" algorithm with no
* backtracking. Is it worth being any smarter to make a longer
* list of usable mergeclauses? Probably not.
*/
foreach(j, pathkey)
{
PathKeyItem *keyitem = lfirst(j);
Node *key = keyitem->key;
Oid keyop = keyitem->sortop;
List *k;
foreach(k, restrictinfos)
{
RestrictInfo *restrictinfo = lfirst(k);
Assert(restrictinfo->mergejoinoperator != InvalidOid);
if (((keyop == restrictinfo->left_sortop &&
equal(key, get_leftop(restrictinfo->clause))) ||
(keyop == restrictinfo->right_sortop &&
equal(key, get_rightop(restrictinfo->clause)))) &&
!member(restrictinfo, mergeclauses))
{
matched_restrictinfo = restrictinfo;
break;
}
}
if (matched_restrictinfo)
break;
}
/*
* If we didn't find a mergeclause, we're done --- any additional
* sort-key positions in the pathkeys are useless. (But we can
* still mergejoin if we found at least one mergeclause.)
*/
if (!matched_restrictinfo)
break;
/*
* If we did find a usable mergeclause for this sort-key position,
* add it to result list.
*/
mergeclauses = lappend(mergeclauses, matched_restrictinfo);
}
return mergeclauses;
}
/*
* make_pathkeys_for_mergeclauses
* Builds a pathkey list representing the explicit sort order that
* must be applied to a path in order to make it usable for the
* given mergeclauses.
*
* 'mergeclauses' is a list of RestrictInfos for mergejoin clauses
* that will be used in a merge join.
* 'tlist' is a relation target list for either the inner or outer
* side of the proposed join rel. (Not actually needed anymore)
*
* Returns a pathkeys list that can be applied to the indicated relation.
*
* Note that it is not this routine's job to decide whether sorting is
* actually needed for a particular input path. Assume a sort is necessary;
* just make the keys, eh?
*/
List *
make_pathkeys_for_mergeclauses(Query *root,
List *mergeclauses,
List *tlist)
{
List *pathkeys = NIL;
List *i;
foreach(i, mergeclauses)
{
RestrictInfo *restrictinfo = (RestrictInfo *) lfirst(i);
Node *key;
Oid sortop;
PathKeyItem *item;
List *pathkey;
Assert(restrictinfo->mergejoinoperator != InvalidOid);
/*
* Find the key and sortop needed for this mergeclause.
*
* Both sides of the mergeclause should appear in one of the query's
* pathkey equivalence classes, so it doesn't matter which one we
* use here.
*/
key = (Node *) get_leftop(restrictinfo->clause);
sortop = restrictinfo->left_sortop;
/*
* Find pathkey sublist for this sort item. We expect to find the
* canonical set including the mergeclause's left and right sides;
* if we get back just the one item, something is rotten.
*/
item = makePathKeyItem(key, sortop);
pathkey = make_canonical_pathkey(root, item);
Assert(length(pathkey) > 1);
/*
* Since the item we just made is not in the returned canonical
* set, we can free it --- this saves a useful amount of storage
* in a big join tree.
*/
pfree(item);
pathkeys = lappend(pathkeys, pathkey);
}
return pathkeys;
}
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