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Subselects in FROM clause, per ISO syntax: FROM (SELECT ...) [AS] alias.
(Don't forget that an alias is required.) Views reimplemented as expanding to subselect-in-FROM. Grouping, aggregates, DISTINCT in views actually work now (he says optimistically). No UNION support in subselects/views yet, but I have some ideas about that. Rule-related permissions checking moved out of rewriter and into executor. INITDB REQUIRED!
This commit is contained in:
@ -8,7 +8,7 @@
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*
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*
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* IDENTIFICATION
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* $Header: /cvsroot/pgsql/src/backend/optimizer/path/allpaths.c,v 1.64 2000/09/19 18:42:34 tgl Exp $
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* $Header: /cvsroot/pgsql/src/backend/optimizer/path/allpaths.c,v 1.65 2000/09/29 18:21:31 tgl Exp $
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*
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*-------------------------------------------------------------------------
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*/
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@ -19,6 +19,9 @@
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#include "optimizer/geqo.h"
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#include "optimizer/pathnode.h"
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#include "optimizer/paths.h"
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#include "optimizer/plancat.h"
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#include "optimizer/planner.h"
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#include "parser/parsetree.h"
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bool enable_geqo = true;
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@ -26,7 +29,6 @@ int geqo_rels = DEFAULT_GEQO_RELS;
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static void set_base_rel_pathlist(Query *root);
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static List *build_jointree_rels(Query *root);
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static RelOptInfo *make_one_rel_by_joins(Query *root, int levels_needed,
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List *initial_rels);
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@ -44,20 +46,7 @@ static void debug_print_rel(Query *root, RelOptInfo *rel);
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RelOptInfo *
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make_one_rel(Query *root)
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{
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int levels_needed;
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List *initial_rels;
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/*
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* Count the number of top-level jointree nodes. This is the depth
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* of the dynamic-programming algorithm we must employ to consider
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* all ways of joining the top-level nodes. Currently, we build
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* JoinExpr joins in exactly the order implied by the join expression,
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* so no dynamic-programming search is needed within a JoinExpr.
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*/
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levels_needed = length(root->jointree);
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if (levels_needed <= 0)
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return NULL; /* nothing to do? */
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RelOptInfo *rel;
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/*
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* Generate access paths for the base rels.
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@ -65,27 +54,18 @@ make_one_rel(Query *root)
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set_base_rel_pathlist(root);
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/*
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* Construct a list of rels corresponding to the toplevel jointree nodes.
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* This may contain both base rels and rels constructed according to
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* explicit JOIN directives.
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* Generate access paths for the entire join tree.
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*/
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initial_rels = build_jointree_rels(root);
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Assert(root->jointree != NULL && IsA(root->jointree, FromExpr));
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if (levels_needed == 1)
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{
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/*
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* Single jointree node, so we're done.
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*/
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return (RelOptInfo *) lfirst(initial_rels);
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}
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else
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{
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rel = make_fromexpr_rel(root, root->jointree);
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/*
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* Generate join tree.
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*/
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return make_one_rel_by_joins(root, levels_needed, initial_rels);
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}
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/*
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* The result should join all the query's rels.
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*/
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Assert(length(rel->relids) == length(root->base_rel_list));
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return rel;
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}
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/*
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@ -102,36 +82,67 @@ set_base_rel_pathlist(Query *root)
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foreach(rellist, root->base_rel_list)
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{
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RelOptInfo *rel = (RelOptInfo *) lfirst(rellist);
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List *indices = find_relation_indices(root, rel);
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RangeTblEntry *rte;
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/* Mark rel with estimated output rows, width, etc */
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set_baserel_size_estimates(root, rel);
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Assert(length(rel->relids) == 1); /* better be base rel */
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rte = rt_fetch(lfirsti(rel->relids), root->rtable);
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/*
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* Generate paths and add them to the rel's pathlist.
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*
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* Note: add_path() will discard any paths that are dominated by
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* another available path, keeping only those paths that are
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* superior along at least one dimension of cost or sortedness.
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*/
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if (rel->issubquery)
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{
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/* Subquery --- generate a separate plan for it */
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/* Consider sequential scan */
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add_path(rel, create_seqscan_path(rel));
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/*
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* XXX for now, we just apply any restrict clauses that came
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* from the outer query as qpquals of the SubqueryScan node.
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* Later, think about pushing them down into the subquery itself.
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*/
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/* Consider TID scans */
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create_tidscan_paths(root, rel);
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/* Generate the plan for the subquery */
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rel->subplan = planner(rte->subquery);
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/* Consider index paths for both simple and OR index clauses */
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create_index_paths(root, rel, indices,
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rel->baserestrictinfo,
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rel->joininfo);
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/* Copy number of output rows from subplan */
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rel->tuples = rel->subplan->plan_rows;
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/*
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* Note: create_or_index_paths depends on create_index_paths to
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* have marked OR restriction clauses with relevant indices; this
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* is why it doesn't need to be given the list of indices.
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*/
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create_or_index_paths(root, rel, rel->baserestrictinfo);
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/* Mark rel with estimated output rows, width, etc */
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set_baserel_size_estimates(root, rel);
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/* Generate appropriate path */
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add_path(rel, create_subqueryscan_path(rel));
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}
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else
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{
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/* Plain relation */
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List *indices = find_secondary_indexes(rte->relid);
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/* Mark rel with estimated output rows, width, etc */
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set_baserel_size_estimates(root, rel);
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/*
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* Generate paths and add them to the rel's pathlist.
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*
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* Note: add_path() will discard any paths that are dominated by
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* another available path, keeping only those paths that are
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* superior along at least one dimension of cost or sortedness.
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*/
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/* Consider sequential scan */
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add_path(rel, create_seqscan_path(rel));
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/* Consider TID scans */
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create_tidscan_paths(root, rel);
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/* Consider index paths for both simple and OR index clauses */
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create_index_paths(root, rel, indices,
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rel->baserestrictinfo,
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rel->joininfo);
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/*
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* Note: create_or_index_paths depends on create_index_paths to
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* have marked OR restriction clauses with relevant indices; this
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* is why it doesn't need to be given the list of indices.
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*/
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create_or_index_paths(root, rel, rel->baserestrictinfo);
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}
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/* Now find the cheapest of the paths for this rel */
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set_cheapest(rel);
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@ -139,26 +150,57 @@ set_base_rel_pathlist(Query *root)
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}
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/*
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* build_jointree_rels
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* Construct a RelOptInfo for each item in the query's jointree.
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*
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* At present, we handle explicit joins in the FROM clause exactly as
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* specified, with no search for other join orders. Only the cross-product
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* joins at the top level are involved in the dynamic-programming search.
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* make_fromexpr_rel
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* Build access paths for a FromExpr jointree node.
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*/
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static List *
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build_jointree_rels(Query *root)
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RelOptInfo *
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make_fromexpr_rel(Query *root, FromExpr *from)
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{
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List *rels = NIL;
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int levels_needed;
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List *initial_rels = NIL;
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List *jt;
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foreach(jt, root->jointree)
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/*
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* Count the number of child jointree nodes. This is the depth
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* of the dynamic-programming algorithm we must employ to consider
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* all ways of joining the child nodes.
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*/
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levels_needed = length(from->fromlist);
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if (levels_needed <= 0)
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return NULL; /* nothing to do? */
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/*
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* Construct a list of rels corresponding to the child jointree nodes.
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* This may contain both base rels and rels constructed according to
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* explicit JOIN directives.
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*/
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foreach(jt, from->fromlist)
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{
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Node *jtnode = (Node *) lfirst(jt);
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rels = lappend(rels, make_rel_from_jointree(root, jtnode));
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initial_rels = lappend(initial_rels,
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make_jointree_rel(root, jtnode));
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}
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if (levels_needed == 1)
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{
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/*
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* Single jointree node, so we're done.
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*/
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return (RelOptInfo *) lfirst(initial_rels);
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}
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else
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{
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/*
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* Consider the different orders in which we could join the rels,
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* using either GEQO or regular optimizer.
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*/
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if (enable_geqo && levels_needed >= geqo_rels)
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return geqo(root, levels_needed, initial_rels);
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else
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return make_one_rel_by_joins(root, levels_needed, initial_rels);
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}
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return rels;
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}
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/*
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@ -182,14 +224,6 @@ make_one_rel_by_joins(Query *root, int levels_needed, List *initial_rels)
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int lev;
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RelOptInfo *rel;
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/*******************************************
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* genetic query optimizer entry point *
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* <utesch@aut.tu-freiberg.de> *
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* rest will be skipped in case of GEQO *
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*******************************************/
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if (enable_geqo && levels_needed >= geqo_rels)
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return geqo(root, levels_needed, initial_rels);
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/*
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* We employ a simple "dynamic programming" algorithm: we first find
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* all ways to build joins of two jointree items, then all ways to
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@ -243,12 +277,11 @@ make_one_rel_by_joins(Query *root, int levels_needed, List *initial_rels)
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}
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/*
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* We should have a single rel at the final level,
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* representing the join of all the base rels.
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* We should have a single rel at the final level.
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*/
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Assert(length(joinitems[levels_needed]) == 1);
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rel = (RelOptInfo *) lfirst(joinitems[levels_needed]);
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Assert(length(rel->relids) == length(root->base_rel_list));
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return rel;
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}
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