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authorTom Lane <tgl@sss.pgh.pa.us>2000-07-24 03:11:01 +0000
committerTom Lane <tgl@sss.pgh.pa.us>2000-07-24 03:11:01 +0000
commitcd9f0ca5456c0fc2c6190321a8156609ef9f573d (patch)
treea2a304b236a0fd12901e781adc587ab2cbcef826 /src/backend/optimizer/path/pathkeys.c
parentc39c198bc333363c7a74e6e8c91b57466027ec3d (diff)
downloadpostgresql-cd9f0ca5456c0fc2c6190321a8156609ef9f573d.tar.gz
Deduce equality constraints that are implied by transitivity of
mergejoinable qual clauses, and add them to the query quals. For example, WHERE a = b AND b = c will cause us to add AND a = c. This is necessary to ensure that it's safe to use these variables as interchangeable sort keys, which is something 7.0 knows how to do. Should provide a useful improvement in planning ability, too.
Diffstat (limited to 'src/backend/optimizer/path/pathkeys.c')
-rw-r--r--src/backend/optimizer/path/pathkeys.c232
1 files changed, 84 insertions, 148 deletions
diff --git a/src/backend/optimizer/path/pathkeys.c b/src/backend/optimizer/path/pathkeys.c
index e51daddd04..e9906bfef2 100644
--- a/src/backend/optimizer/path/pathkeys.c
+++ b/src/backend/optimizer/path/pathkeys.c
@@ -3,12 +3,15 @@
* pathkeys.c
* Utilities for matching and building path keys
*
+ * See src/backend/optimizer/README for a great deal of information about
+ * the nature and use of 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 1.22 2000/05/30 00:49:47 momjian Exp $
+ * $Header: /cvsroot/pgsql/src/backend/optimizer/path/pathkeys.c,v 1.23 2000/07/24 03:10:56 tgl Exp $
*
*-------------------------------------------------------------------------
*/
@@ -18,156 +21,17 @@
#include "optimizer/clauses.h"
#include "optimizer/pathnode.h"
#include "optimizer/paths.h"
+#include "optimizer/planmain.h"
#include "optimizer/tlist.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
- *--------------------
- */
+ AttrNumber varattno);
/*
@@ -225,36 +89,108 @@ add_equijoined_keys(Query *root, RestrictInfo *restrictinfo)
* into our new set. When done, we add the new set to the front of
* equi_key_list.
*
+ * It may well be that the two items we're given are already known to
+ * be equijoin-equivalent, in which case we don't need to change our
+ * data structure. If we find both of them in the same equivalence
+ * set to start with, we can quit immediately.
+ *
* 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));
+ newset = NIL;
foreach(cursetlink, root->equi_key_list)
{
List *curset = lfirst(cursetlink);
+ bool item1here = member(item1, curset);
+ bool item2here = member(item2, curset);
- if (member(item1, curset) || member(item2, curset))
+ if (item1here || item2here)
{
+ /* If find both in same equivalence set, no need to do any more */
+ if (item1here && item2here)
+ {
+ /* Better not have seen only one in an earlier set... */
+ Assert(newset == NIL);
+ return;
+ }
+
+ /* Build the new set only when we know we must */
+ if (newset == NIL)
+ newset = lcons(item1, lcons(item2, NIL));
+
/* 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.
+ * change lnext(cursetlink), so the foreach loop doesn't break.
*/
root->equi_key_list = lremove(curset, root->equi_key_list);
freeList(curset); /* might as well recycle old cons cells */
}
}
+ /* Build the new set only when we know we must */
+ if (newset == NIL)
+ newset = lcons(item1, lcons(item2, NIL));
+
root->equi_key_list = lcons(newset, root->equi_key_list);
}
/*
+ * generate_implied_equalities
+ * Scan the completed equi_key_list for the query, and generate explicit
+ * qualifications (WHERE clauses) for all the pairwise equalities not
+ * already mentioned in the quals. This is useful because the additional
+ * clauses help the selectivity-estimation code, and in fact it's
+ * *necessary* to ensure that sort keys we think are equivalent really
+ * are (see src/backend/optimizer/README for more info).
+ *
+ * This routine just walks the equi_key_list to find all pairwise equalities.
+ * We call process_implied_equality (in plan/initsplan.c) to determine whether
+ * each is already known and add it to the proper restrictinfo list if not.
+ */
+void
+generate_implied_equalities(Query *root)
+{
+ List *cursetlink;
+
+ foreach(cursetlink, root->equi_key_list)
+ {
+ List *curset = lfirst(cursetlink);
+ List *ptr1;
+
+ /*
+ * A set containing only two items cannot imply any equalities
+ * beyond the one that created the set, so we can skip it.
+ */
+ if (length(curset) < 3)
+ continue;
+
+ /*
+ * Match each item in the set with all that appear after it
+ * (it's sufficient to generate A=B, need not process B=A too).
+ */
+ foreach(ptr1, curset)
+ {
+ PathKeyItem *item1 = (PathKeyItem *) lfirst(ptr1);
+ List *ptr2;
+
+ foreach(ptr2, lnext(ptr1))
+ {
+ PathKeyItem *item2 = (PathKeyItem *) lfirst(ptr2);
+
+ process_implied_equality(root, item1->key, item2->key,
+ item1->sortop, item2->sortop);
+ }
+ }
+ }
+}
+
+/*
* 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