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| author | Tom Lane <tgl@sss.pgh.pa.us> | 2000-07-24 03:11:01 +0000 |
|---|---|---|
| committer | Tom Lane <tgl@sss.pgh.pa.us> | 2000-07-24 03:11:01 +0000 |
| commit | cd9f0ca5456c0fc2c6190321a8156609ef9f573d (patch) | |
| tree | a2a304b236a0fd12901e781adc587ab2cbcef826 /src/backend/optimizer/path/pathkeys.c | |
| parent | c39c198bc333363c7a74e6e8c91b57466027ec3d (diff) | |
| download | postgresql-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.c | 232 |
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 |
