1424 lines
42 KiB
C
1424 lines
42 KiB
C
/*-------------------------------------------------------------------------
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*
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* planner.c
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* The query optimizer external interface.
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*
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* Portions Copyright (c) 1996-2001, PostgreSQL Global Development Group
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* Portions Copyright (c) 1994, Regents of the University of California
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*
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*
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* IDENTIFICATION
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* $Header: /cvsroot/pgsql/src/backend/optimizer/plan/planner.c,v 1.103 2001/04/01 22:37:19 tgl Exp $
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*
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*-------------------------------------------------------------------------
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*/
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#include "postgres.h"
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#include "catalog/pg_type.h"
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#include "nodes/makefuncs.h"
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#include "optimizer/clauses.h"
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#include "optimizer/paths.h"
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#include "optimizer/planmain.h"
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#include "optimizer/planner.h"
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#include "optimizer/prep.h"
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#include "optimizer/subselect.h"
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#include "optimizer/tlist.h"
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#include "optimizer/var.h"
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#include "parser/analyze.h"
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#include "parser/parsetree.h"
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#include "parser/parse_expr.h"
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#include "rewrite/rewriteManip.h"
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#include "utils/lsyscache.h"
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/* Expression kind codes for preprocess_expression */
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#define EXPRKIND_TARGET 0
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#define EXPRKIND_WHERE 1
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#define EXPRKIND_HAVING 2
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static Node *pull_up_subqueries(Query *parse, Node *jtnode);
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static bool is_simple_subquery(Query *subquery);
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static void resolvenew_in_jointree(Node *jtnode, int varno, List *subtlist);
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static Node *preprocess_jointree(Query *parse, Node *jtnode);
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static Node *preprocess_expression(Query *parse, Node *expr, int kind);
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static void preprocess_qual_conditions(Query *parse, Node *jtnode);
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static Plan *inheritance_planner(Query *parse, List *inheritlist);
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static Plan *grouping_planner(Query *parse, double tuple_fraction);
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static List *make_subplanTargetList(Query *parse, List *tlist,
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AttrNumber **groupColIdx);
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static Plan *make_groupplan(List *group_tlist, bool tuplePerGroup,
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List *groupClause, AttrNumber *grpColIdx,
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bool is_presorted, Plan *subplan);
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static List *postprocess_setop_tlist(List *new_tlist, List *orig_tlist);
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/*****************************************************************************
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*
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* Query optimizer entry point
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*
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*****************************************************************************/
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Plan *
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planner(Query *parse)
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{
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Plan *result_plan;
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Index save_PlannerQueryLevel;
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List *save_PlannerParamVar;
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/*
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* The planner can be called recursively (an example is when
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* eval_const_expressions tries to pre-evaluate an SQL function). So,
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* these global state variables must be saved and restored.
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*
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* These vars cannot be moved into the Query structure since their whole
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* purpose is communication across multiple sub-Queries.
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*
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* Note we do NOT save and restore PlannerPlanId: it exists to assign
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* unique IDs to SubPlan nodes, and we want those IDs to be unique for
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* the life of a backend. Also, PlannerInitPlan is saved/restored in
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* subquery_planner, not here.
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*/
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save_PlannerQueryLevel = PlannerQueryLevel;
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save_PlannerParamVar = PlannerParamVar;
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/* Initialize state for handling outer-level references and params */
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PlannerQueryLevel = 0; /* will be 1 in top-level subquery_planner */
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PlannerParamVar = NIL;
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/* primary planning entry point (may recurse for subqueries) */
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result_plan = subquery_planner(parse, -1.0 /* default case */ );
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Assert(PlannerQueryLevel == 0);
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/* executor wants to know total number of Params used overall */
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result_plan->nParamExec = length(PlannerParamVar);
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/* final cleanup of the plan */
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set_plan_references(result_plan);
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/* restore state for outer planner, if any */
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PlannerQueryLevel = save_PlannerQueryLevel;
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PlannerParamVar = save_PlannerParamVar;
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return result_plan;
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}
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/*--------------------
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* subquery_planner
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* Invokes the planner on a subquery. We recurse to here for each
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* sub-SELECT found in the query tree.
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*
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* parse is the querytree produced by the parser & rewriter.
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* tuple_fraction is the fraction of tuples we expect will be retrieved.
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* tuple_fraction is interpreted as explained for grouping_planner, below.
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*
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* Basically, this routine does the stuff that should only be done once
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* per Query object. It then calls grouping_planner. At one time,
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* grouping_planner could be invoked recursively on the same Query object;
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* that's not currently true, but we keep the separation between the two
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* routines anyway, in case we need it again someday.
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*
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* subquery_planner will be called recursively to handle sub-Query nodes
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* found within the query's expressions and rangetable.
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*
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* Returns a query plan.
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*--------------------
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*/
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Plan *
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subquery_planner(Query *parse, double tuple_fraction)
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{
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List *saved_initplan = PlannerInitPlan;
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int saved_planid = PlannerPlanId;
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Plan *plan;
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List *newHaving;
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List *lst;
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/* Set up for a new level of subquery */
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PlannerQueryLevel++;
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PlannerInitPlan = NIL;
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#ifdef ENABLE_KEY_SET_QUERY
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/* this should go away sometime soon */
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transformKeySetQuery(parse);
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#endif
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/*
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* Check to see if any subqueries in the rangetable can be merged into
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* this query.
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*/
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parse->jointree = (FromExpr *)
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pull_up_subqueries(parse, (Node *) parse->jointree);
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/*
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* If so, we may have created opportunities to simplify the jointree.
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*/
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parse->jointree = (FromExpr *)
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preprocess_jointree(parse, (Node *) parse->jointree);
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/*
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* Do expression preprocessing on targetlist and quals.
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*/
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parse->targetList = (List *)
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preprocess_expression(parse, (Node *) parse->targetList,
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EXPRKIND_TARGET);
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preprocess_qual_conditions(parse, (Node *) parse->jointree);
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parse->havingQual = preprocess_expression(parse, parse->havingQual,
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EXPRKIND_HAVING);
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/*
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* A HAVING clause without aggregates is equivalent to a WHERE clause
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* (except it can only refer to grouped fields). Transfer any
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* agg-free clauses of the HAVING qual into WHERE. This may seem like
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* wasting cycles to cater to stupidly-written queries, but there are
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* other reasons for doing it. Firstly, if the query contains no aggs
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* at all, then we aren't going to generate an Agg plan node, and so
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* there'll be no place to execute HAVING conditions; without this
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* transfer, we'd lose the HAVING condition entirely, which is wrong.
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* Secondly, when we push down a qual condition into a sub-query, it's
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* easiest to push the qual into HAVING always, in case it contains
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* aggs, and then let this code sort it out.
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*
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* Note that both havingQual and parse->jointree->quals are in
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* implicitly-ANDed-list form at this point, even though they are
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* declared as Node *. Also note that contain_agg_clause does not
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* recurse into sub-selects, which is exactly what we need here.
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*/
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newHaving = NIL;
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foreach(lst, (List *) parse->havingQual)
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{
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Node *havingclause = (Node *) lfirst(lst);
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if (contain_agg_clause(havingclause))
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newHaving = lappend(newHaving, havingclause);
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else
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parse->jointree->quals = (Node *)
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lappend((List *) parse->jointree->quals, havingclause);
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}
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parse->havingQual = (Node *) newHaving;
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/*
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* Do the main planning. If we have an inherited target relation,
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* that needs special processing, else go straight to
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* grouping_planner.
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*/
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if (parse->resultRelation &&
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(lst = expand_inherted_rtentry(parse, parse->resultRelation)) != NIL)
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plan = inheritance_planner(parse, lst);
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else
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plan = grouping_planner(parse, tuple_fraction);
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/*
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* If any subplans were generated, or if we're inside a subplan, build
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* subPlan, extParam and locParam lists for plan nodes.
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*/
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if (PlannerPlanId != saved_planid || PlannerQueryLevel > 1)
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{
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(void) SS_finalize_plan(plan);
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/*
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* At the moment, SS_finalize_plan doesn't handle initPlans and so
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* we assign them to the topmost plan node.
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*/
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plan->initPlan = PlannerInitPlan;
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/* Must add the initPlans' extParams to the topmost node's, too */
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foreach(lst, plan->initPlan)
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{
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SubPlan *subplan = (SubPlan *) lfirst(lst);
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plan->extParam = set_unioni(plan->extParam,
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subplan->plan->extParam);
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}
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}
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/* Return to outer subquery context */
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PlannerQueryLevel--;
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PlannerInitPlan = saved_initplan;
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/* we do NOT restore PlannerPlanId; that's not an oversight! */
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return plan;
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}
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/*
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* pull_up_subqueries
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* Look for subqueries in the rangetable that can be pulled up into
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* the parent query. If the subquery has no special features like
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* grouping/aggregation then we can merge it into the parent's jointree.
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*
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* A tricky aspect of this code is that if we pull up a subquery we have
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* to replace Vars that reference the subquery's outputs throughout the
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* parent query, including quals attached to jointree nodes above the one
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* we are currently processing! We handle this by being careful not to
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* change the jointree structure while recursing: no nodes other than
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* subquery RangeTblRef entries will be replaced. Also, we can't turn
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* ResolveNew loose on the whole jointree, because it'll return a mutated
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* copy of the tree; we have to invoke it just on the quals, instead.
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*/
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static Node *
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pull_up_subqueries(Query *parse, Node *jtnode)
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{
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if (jtnode == NULL)
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return NULL;
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if (IsA(jtnode, RangeTblRef))
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{
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int varno = ((RangeTblRef *) jtnode)->rtindex;
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RangeTblEntry *rte = rt_fetch(varno, parse->rtable);
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Query *subquery = rte->subquery;
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/*
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* Is this a subquery RTE, and if so, is the subquery simple
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* enough to pull up? (If not, do nothing at this node.)
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*/
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if (subquery && is_simple_subquery(subquery))
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{
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int rtoffset;
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Node *subjointree;
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List *subtlist;
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List *l;
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/*
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* First, recursively pull up the subquery's subqueries, so
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* that this routine's processing is complete for its jointree
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* and rangetable. NB: if the same subquery is referenced
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* from multiple jointree items (which can't happen normally,
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* but might after rule rewriting), then we will invoke this
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* processing multiple times on that subquery. OK because
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* nothing will happen after the first time. We do have to be
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* careful to copy everything we pull up, however, or risk
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* having chunks of structure multiply linked.
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*/
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subquery->jointree = (FromExpr *)
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pull_up_subqueries(subquery, (Node *) subquery->jointree);
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/*
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* Append the subquery's rangetable to mine (currently, no
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* adjustments will be needed in the subquery's rtable).
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*/
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rtoffset = length(parse->rtable);
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parse->rtable = nconc(parse->rtable,
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copyObject(subquery->rtable));
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/*
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* Make copies of the subquery's jointree and targetlist with
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* varnos adjusted to match the merged rangetable.
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*/
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subjointree = copyObject(subquery->jointree);
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OffsetVarNodes(subjointree, rtoffset, 0);
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subtlist = copyObject(subquery->targetList);
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OffsetVarNodes((Node *) subtlist, rtoffset, 0);
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/*
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* Replace all of the top query's references to the subquery's
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* outputs with copies of the adjusted subtlist items, being
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* careful not to replace any of the jointree structure.
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*/
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parse->targetList = (List *)
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ResolveNew((Node *) parse->targetList,
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varno, 0, subtlist, CMD_SELECT, 0);
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resolvenew_in_jointree((Node *) parse->jointree, varno, subtlist);
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parse->havingQual =
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ResolveNew(parse->havingQual,
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varno, 0, subtlist, CMD_SELECT, 0);
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/*
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* Pull up any FOR UPDATE markers, too.
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*/
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foreach(l, subquery->rowMarks)
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{
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int submark = lfirsti(l);
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parse->rowMarks = lappendi(parse->rowMarks,
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submark + rtoffset);
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}
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/*
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* Miscellaneous housekeeping.
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*/
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parse->hasSubLinks |= subquery->hasSubLinks;
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/* subquery won't be pulled up if it hasAggs, so no work there */
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/*
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* Return the adjusted subquery jointree to replace the
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* RangeTblRef entry in my jointree.
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*/
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return subjointree;
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}
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}
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else if (IsA(jtnode, FromExpr))
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{
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FromExpr *f = (FromExpr *) jtnode;
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List *l;
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foreach(l, f->fromlist)
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lfirst(l) = pull_up_subqueries(parse, lfirst(l));
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}
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else if (IsA(jtnode, JoinExpr))
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{
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JoinExpr *j = (JoinExpr *) jtnode;
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j->larg = pull_up_subqueries(parse, j->larg);
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j->rarg = pull_up_subqueries(parse, j->rarg);
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}
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else
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elog(ERROR, "pull_up_subqueries: unexpected node type %d",
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nodeTag(jtnode));
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return jtnode;
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}
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/*
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* is_simple_subquery
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* Check a subquery in the range table to see if it's simple enough
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* to pull up into the parent query.
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*/
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static bool
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is_simple_subquery(Query *subquery)
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{
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/*
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* Let's just make sure it's a valid subselect ...
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*/
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if (!IsA(subquery, Query) ||
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subquery->commandType != CMD_SELECT ||
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subquery->resultRelation != 0 ||
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subquery->into != NULL ||
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subquery->isPortal)
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elog(ERROR, "is_simple_subquery: subquery is bogus");
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/*
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* Can't currently pull up a query with setops. Maybe after querytree
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* redesign...
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*/
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if (subquery->setOperations)
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return false;
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/*
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* Can't pull up a subquery involving grouping, aggregation, sorting,
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* or limiting.
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*/
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if (subquery->hasAggs ||
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subquery->groupClause ||
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subquery->havingQual ||
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subquery->sortClause ||
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subquery->distinctClause ||
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subquery->limitOffset ||
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subquery->limitCount)
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return false;
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/*
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* Hack: don't try to pull up a subquery with an empty jointree.
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* query_planner() will correctly generate a Result plan for a
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* jointree that's totally empty, but I don't think the right things
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* happen if an empty FromExpr appears lower down in a jointree. Not
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* worth working hard on this, just to collapse SubqueryScan/Result
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* into Result...
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*/
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if (subquery->jointree->fromlist == NIL)
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return false;
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return true;
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}
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/*
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* Helper routine for pull_up_subqueries: do ResolveNew on every expression
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* in the jointree, without changing the jointree structure itself. Ugly,
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* but there's no other way...
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*/
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static void
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resolvenew_in_jointree(Node *jtnode, int varno, List *subtlist)
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{
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if (jtnode == NULL)
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return;
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if (IsA(jtnode, RangeTblRef))
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{
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/* nothing to do here */
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}
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else if (IsA(jtnode, FromExpr))
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{
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FromExpr *f = (FromExpr *) jtnode;
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List *l;
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foreach(l, f->fromlist)
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resolvenew_in_jointree(lfirst(l), varno, subtlist);
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f->quals = ResolveNew(f->quals,
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varno, 0, subtlist, CMD_SELECT, 0);
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}
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else if (IsA(jtnode, JoinExpr))
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{
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JoinExpr *j = (JoinExpr *) jtnode;
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resolvenew_in_jointree(j->larg, varno, subtlist);
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resolvenew_in_jointree(j->rarg, varno, subtlist);
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j->quals = ResolveNew(j->quals,
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varno, 0, subtlist, CMD_SELECT, 0);
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/*
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* We don't bother to update the colvars list, since it won't be
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* used again ...
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*/
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}
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else
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elog(ERROR, "resolvenew_in_jointree: unexpected node type %d",
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nodeTag(jtnode));
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}
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/*
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* preprocess_jointree
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* Attempt to simplify a query's jointree.
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*
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* If we succeed in pulling up a subquery then we might form a jointree
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* in which a FromExpr is a direct child of another FromExpr. In that
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* case we can consider collapsing the two FromExprs into one. This is
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* an optional conversion, since the planner will work correctly either
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* way. But we may find a better plan (at the cost of more planning time)
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* if we merge the two nodes.
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*
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* NOTE: don't try to do this in the same jointree scan that does subquery
|
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* pullup! Since we're changing the jointree structure here, that wouldn't
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* work reliably --- see comments for pull_up_subqueries().
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*/
|
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static Node *
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preprocess_jointree(Query *parse, Node *jtnode)
|
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{
|
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if (jtnode == NULL)
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return NULL;
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if (IsA(jtnode, RangeTblRef))
|
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{
|
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/* nothing to do here... */
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}
|
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else if (IsA(jtnode, FromExpr))
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{
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FromExpr *f = (FromExpr *) jtnode;
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List *newlist = NIL;
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List *l;
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|
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foreach(l, f->fromlist)
|
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{
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Node *child = (Node *) lfirst(l);
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|
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/* Recursively simplify the child... */
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child = preprocess_jointree(parse, child);
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/* Now, is it a FromExpr? */
|
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if (child && IsA(child, FromExpr))
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{
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|
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/*
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* Yes, so do we want to merge it into parent? Always do
|
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* so if child has just one element (since that doesn't
|
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* make the parent's list any longer). Otherwise we have
|
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* to be careful about the increase in planning time
|
|
* caused by combining the two join search spaces into
|
|
* one. Our heuristic is to merge if the merge will
|
|
* produce a join list no longer than GEQO_RELS/2.
|
|
* (Perhaps need an additional user parameter?)
|
|
*/
|
|
FromExpr *subf = (FromExpr *) child;
|
|
int childlen = length(subf->fromlist);
|
|
int myothers = length(newlist) + length(lnext(l));
|
|
|
|
if (childlen <= 1 || (childlen + myothers) <= geqo_rels / 2)
|
|
{
|
|
newlist = nconc(newlist, subf->fromlist);
|
|
f->quals = make_and_qual(f->quals, subf->quals);
|
|
}
|
|
else
|
|
newlist = lappend(newlist, child);
|
|
}
|
|
else
|
|
newlist = lappend(newlist, child);
|
|
}
|
|
f->fromlist = newlist;
|
|
}
|
|
else if (IsA(jtnode, JoinExpr))
|
|
{
|
|
JoinExpr *j = (JoinExpr *) jtnode;
|
|
|
|
/* Can't usefully change the JoinExpr, but recurse on children */
|
|
j->larg = preprocess_jointree(parse, j->larg);
|
|
j->rarg = preprocess_jointree(parse, j->rarg);
|
|
}
|
|
else
|
|
elog(ERROR, "preprocess_jointree: unexpected node type %d",
|
|
nodeTag(jtnode));
|
|
return jtnode;
|
|
}
|
|
|
|
/*
|
|
* preprocess_expression
|
|
* Do subquery_planner's preprocessing work for an expression,
|
|
* which can be a targetlist, a WHERE clause (including JOIN/ON
|
|
* conditions), or a HAVING clause.
|
|
*/
|
|
static Node *
|
|
preprocess_expression(Query *parse, Node *expr, int kind)
|
|
{
|
|
|
|
/*
|
|
* Simplify constant expressions.
|
|
*
|
|
* Note that at this point quals have not yet been converted to
|
|
* implicit-AND form, so we can apply eval_const_expressions directly.
|
|
* Also note that we need to do this before SS_process_sublinks,
|
|
* because that routine inserts bogus "Const" nodes.
|
|
*/
|
|
expr = eval_const_expressions(expr);
|
|
|
|
/*
|
|
* If it's a qual or havingQual, canonicalize it, and convert it to
|
|
* implicit-AND format.
|
|
*
|
|
* XXX Is there any value in re-applying eval_const_expressions after
|
|
* canonicalize_qual?
|
|
*/
|
|
if (kind != EXPRKIND_TARGET)
|
|
{
|
|
expr = (Node *) canonicalize_qual((Expr *) expr, true);
|
|
|
|
#ifdef OPTIMIZER_DEBUG
|
|
printf("After canonicalize_qual()\n");
|
|
pprint(expr);
|
|
#endif
|
|
}
|
|
|
|
if (parse->hasSubLinks)
|
|
{
|
|
/* Expand SubLinks to SubPlans */
|
|
expr = SS_process_sublinks(expr);
|
|
|
|
if (kind != EXPRKIND_WHERE &&
|
|
(parse->groupClause != NIL || parse->hasAggs))
|
|
{
|
|
|
|
/*
|
|
* Check for ungrouped variables passed to subplans. Note we
|
|
* do NOT do this for subplans in WHERE (or JOIN/ON); it's
|
|
* legal there because WHERE is evaluated pre-GROUP.
|
|
*/
|
|
check_subplans_for_ungrouped_vars(expr, parse);
|
|
}
|
|
}
|
|
|
|
/* Replace uplevel vars with Param nodes */
|
|
if (PlannerQueryLevel > 1)
|
|
expr = SS_replace_correlation_vars(expr);
|
|
|
|
return expr;
|
|
}
|
|
|
|
/*
|
|
* preprocess_qual_conditions
|
|
* Recursively scan the query's jointree and do subquery_planner's
|
|
* preprocessing work on each qual condition found therein.
|
|
*/
|
|
static void
|
|
preprocess_qual_conditions(Query *parse, Node *jtnode)
|
|
{
|
|
if (jtnode == NULL)
|
|
return;
|
|
if (IsA(jtnode, RangeTblRef))
|
|
{
|
|
/* nothing to do here */
|
|
}
|
|
else if (IsA(jtnode, FromExpr))
|
|
{
|
|
FromExpr *f = (FromExpr *) jtnode;
|
|
List *l;
|
|
|
|
foreach(l, f->fromlist)
|
|
preprocess_qual_conditions(parse, lfirst(l));
|
|
|
|
f->quals = preprocess_expression(parse, f->quals, EXPRKIND_WHERE);
|
|
}
|
|
else if (IsA(jtnode, JoinExpr))
|
|
{
|
|
JoinExpr *j = (JoinExpr *) jtnode;
|
|
|
|
preprocess_qual_conditions(parse, j->larg);
|
|
preprocess_qual_conditions(parse, j->rarg);
|
|
|
|
j->quals = preprocess_expression(parse, j->quals, EXPRKIND_WHERE);
|
|
}
|
|
else
|
|
elog(ERROR, "preprocess_qual_conditions: unexpected node type %d",
|
|
nodeTag(jtnode));
|
|
}
|
|
|
|
/*--------------------
|
|
* inheritance_planner
|
|
* Generate a plan in the case where the result relation is an
|
|
* inheritance set.
|
|
*
|
|
* We have to handle this case differently from cases where a source
|
|
* relation is an inheritance set. Source inheritance is expanded at
|
|
* the bottom of the plan tree (see allpaths.c), but target inheritance
|
|
* has to be expanded at the top. The reason is that for UPDATE, each
|
|
* target relation needs a different targetlist matching its own column
|
|
* set. (This is not so critical for DELETE, but for simplicity we treat
|
|
* inherited DELETE the same way.) Fortunately, the UPDATE/DELETE target
|
|
* can never be the nullable side of an outer join, so it's OK to generate
|
|
* the plan this way.
|
|
*
|
|
* parse is the querytree produced by the parser & rewriter.
|
|
* inheritlist is an integer list of RT indexes for the result relation set.
|
|
*
|
|
* Returns a query plan.
|
|
*--------------------
|
|
*/
|
|
static Plan *
|
|
inheritance_planner(Query *parse, List *inheritlist)
|
|
{
|
|
int parentRTindex = parse->resultRelation;
|
|
Oid parentOID = getrelid(parentRTindex, parse->rtable);
|
|
List *subplans = NIL;
|
|
List *tlist = NIL;
|
|
List *l;
|
|
|
|
foreach(l, inheritlist)
|
|
{
|
|
int childRTindex = lfirsti(l);
|
|
Oid childOID = getrelid(childRTindex, parse->rtable);
|
|
Query *subquery;
|
|
Plan *subplan;
|
|
|
|
/* Generate modified query with this rel as target */
|
|
subquery = (Query *) adjust_inherited_attrs((Node *) parse,
|
|
parentRTindex, parentOID,
|
|
childRTindex, childOID);
|
|
/* Generate plan */
|
|
subplan = grouping_planner(subquery, 0.0 /* retrieve all tuples */ );
|
|
subplans = lappend(subplans, subplan);
|
|
/* Save preprocessed tlist from first rel for use in Append */
|
|
if (tlist == NIL)
|
|
tlist = subplan->targetlist;
|
|
}
|
|
|
|
/* Save the target-relations list for the executor, too */
|
|
parse->resultRelations = inheritlist;
|
|
|
|
return (Plan *) make_append(subplans, true, tlist);
|
|
}
|
|
|
|
/*--------------------
|
|
* grouping_planner
|
|
* Perform planning steps related to grouping, aggregation, etc.
|
|
* This primarily means adding top-level processing to the basic
|
|
* query plan produced by query_planner.
|
|
*
|
|
* parse is the querytree produced by the parser & rewriter.
|
|
* tuple_fraction is the fraction of tuples we expect will be retrieved
|
|
*
|
|
* tuple_fraction is interpreted as follows:
|
|
* < 0: determine fraction by inspection of query (normal case)
|
|
* 0: expect all tuples to be retrieved
|
|
* 0 < tuple_fraction < 1: expect the given fraction of tuples available
|
|
* from the plan to be retrieved
|
|
* tuple_fraction >= 1: tuple_fraction is the absolute number of tuples
|
|
* expected to be retrieved (ie, a LIMIT specification)
|
|
* The normal case is to pass -1, but some callers pass values >= 0 to
|
|
* override this routine's determination of the appropriate fraction.
|
|
*
|
|
* Returns a query plan.
|
|
*--------------------
|
|
*/
|
|
static Plan *
|
|
grouping_planner(Query *parse, double tuple_fraction)
|
|
{
|
|
List *tlist = parse->targetList;
|
|
Plan *result_plan;
|
|
List *current_pathkeys;
|
|
List *group_pathkeys;
|
|
List *sort_pathkeys;
|
|
AttrNumber *groupColIdx = NULL;
|
|
|
|
if (parse->setOperations)
|
|
{
|
|
|
|
/*
|
|
* Construct the plan for set operations. The result will not
|
|
* need any work except perhaps a top-level sort and/or LIMIT.
|
|
*/
|
|
result_plan = plan_set_operations(parse);
|
|
|
|
/*
|
|
* We should not need to call preprocess_targetlist, since we must
|
|
* be in a SELECT query node. Instead, use the targetlist
|
|
* returned by plan_set_operations (since this tells whether it
|
|
* returned any resjunk columns!), and transfer any sort key
|
|
* information from the original tlist.
|
|
*/
|
|
Assert(parse->commandType == CMD_SELECT);
|
|
|
|
tlist = postprocess_setop_tlist(result_plan->targetlist, tlist);
|
|
|
|
/*
|
|
* Can't handle FOR UPDATE here (parser should have checked
|
|
* already, but let's make sure).
|
|
*/
|
|
if (parse->rowMarks)
|
|
elog(ERROR, "SELECT FOR UPDATE is not allowed with UNION/INTERSECT/EXCEPT");
|
|
|
|
/*
|
|
* We set current_pathkeys NIL indicating we do not know sort
|
|
* order. This is correct when the top set operation is UNION
|
|
* ALL, since the appended-together results are unsorted even if
|
|
* the subplans were sorted. For other set operations we could be
|
|
* smarter --- room for future improvement!
|
|
*/
|
|
current_pathkeys = NIL;
|
|
|
|
/*
|
|
* Calculate pathkeys that represent grouping/ordering
|
|
* requirements (grouping should always be null, but...)
|
|
*/
|
|
group_pathkeys = make_pathkeys_for_sortclauses(parse->groupClause,
|
|
tlist);
|
|
sort_pathkeys = make_pathkeys_for_sortclauses(parse->sortClause,
|
|
tlist);
|
|
}
|
|
else
|
|
{
|
|
List *sub_tlist;
|
|
|
|
/* Preprocess targetlist in case we are inside an INSERT/UPDATE. */
|
|
tlist = preprocess_targetlist(tlist,
|
|
parse->commandType,
|
|
parse->resultRelation,
|
|
parse->rtable);
|
|
|
|
/*
|
|
* Add TID targets for rels selected FOR UPDATE (should this be
|
|
* done in preprocess_targetlist?). The executor uses the TID to
|
|
* know which rows to lock, much as for UPDATE or DELETE.
|
|
*/
|
|
if (parse->rowMarks)
|
|
{
|
|
List *l;
|
|
|
|
/*
|
|
* We've got trouble if the FOR UPDATE appears inside
|
|
* grouping, since grouping renders a reference to individual
|
|
* tuple CTIDs invalid. This is also checked at parse time,
|
|
* but that's insufficient because of rule substitution, query
|
|
* pullup, etc.
|
|
*/
|
|
CheckSelectForUpdate(parse);
|
|
|
|
/*
|
|
* Currently the executor only supports FOR UPDATE at top
|
|
* level
|
|
*/
|
|
if (PlannerQueryLevel > 1)
|
|
elog(ERROR, "SELECT FOR UPDATE is not allowed in subselects");
|
|
|
|
foreach(l, parse->rowMarks)
|
|
{
|
|
Index rti = lfirsti(l);
|
|
char *resname;
|
|
Resdom *resdom;
|
|
Var *var;
|
|
TargetEntry *ctid;
|
|
|
|
resname = (char *) palloc(32);
|
|
sprintf(resname, "ctid%u", rti);
|
|
resdom = makeResdom(length(tlist) + 1,
|
|
TIDOID,
|
|
-1,
|
|
resname,
|
|
true);
|
|
|
|
var = makeVar(rti,
|
|
SelfItemPointerAttributeNumber,
|
|
TIDOID,
|
|
-1,
|
|
0);
|
|
|
|
ctid = makeTargetEntry(resdom, (Node *) var);
|
|
tlist = lappend(tlist, ctid);
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Generate appropriate target list for subplan; may be different
|
|
* from tlist if grouping or aggregation is needed.
|
|
*/
|
|
sub_tlist = make_subplanTargetList(parse, tlist, &groupColIdx);
|
|
|
|
/*
|
|
* Calculate pathkeys that represent grouping/ordering
|
|
* requirements
|
|
*/
|
|
group_pathkeys = make_pathkeys_for_sortclauses(parse->groupClause,
|
|
tlist);
|
|
sort_pathkeys = make_pathkeys_for_sortclauses(parse->sortClause,
|
|
tlist);
|
|
|
|
/*
|
|
* Figure out whether we need a sorted result from query_planner.
|
|
*
|
|
* If we have a GROUP BY clause, then we want a result sorted
|
|
* properly for grouping. Otherwise, if there is an ORDER BY
|
|
* clause, we want to sort by the ORDER BY clause. (Note: if we
|
|
* have both, and ORDER BY is a superset of GROUP BY, it would be
|
|
* tempting to request sort by ORDER BY --- but that might just
|
|
* leave us failing to exploit an available sort order at all.
|
|
* Needs more thought...)
|
|
*/
|
|
if (parse->groupClause)
|
|
parse->query_pathkeys = group_pathkeys;
|
|
else if (parse->sortClause)
|
|
parse->query_pathkeys = sort_pathkeys;
|
|
else
|
|
parse->query_pathkeys = NIL;
|
|
|
|
/*
|
|
* Figure out whether we expect to retrieve all the tuples that
|
|
* the plan can generate, or to stop early due to outside factors
|
|
* such as a cursor. If the caller passed a value >= 0, believe
|
|
* that value, else do our own examination of the query context.
|
|
*/
|
|
if (tuple_fraction < 0.0)
|
|
{
|
|
/* Initial assumption is we need all the tuples */
|
|
tuple_fraction = 0.0;
|
|
|
|
/*
|
|
* Check for retrieve-into-portal, ie DECLARE CURSOR.
|
|
*
|
|
* We have no real idea how many tuples the user will ultimately
|
|
* FETCH from a cursor, but it seems a good bet that he
|
|
* doesn't want 'em all. Optimize for 10% retrieval (you
|
|
* gotta better number? Should this be a SETtable parameter?)
|
|
*/
|
|
if (parse->isPortal)
|
|
tuple_fraction = 0.10;
|
|
}
|
|
|
|
/*
|
|
* Adjust tuple_fraction if we see that we are going to apply
|
|
* limiting/grouping/aggregation/etc. This is not overridable by
|
|
* the caller, since it reflects plan actions that this routine
|
|
* will certainly take, not assumptions about context.
|
|
*/
|
|
if (parse->limitCount != NULL)
|
|
{
|
|
/*
|
|
* A LIMIT clause limits the absolute number of tuples returned.
|
|
* However, if it's not a constant LIMIT then we have to punt;
|
|
* for lack of a better idea, assume 10% of the plan's result
|
|
* is wanted.
|
|
*/
|
|
double limit_fraction = 0.0;
|
|
|
|
if (IsA(parse->limitCount, Const))
|
|
{
|
|
Const *limitc = (Const *) parse->limitCount;
|
|
int32 count = DatumGetInt32(limitc->constvalue);
|
|
|
|
/*
|
|
* A NULL-constant LIMIT represents "LIMIT ALL", which
|
|
* we treat the same as no limit (ie, expect to
|
|
* retrieve all the tuples).
|
|
*/
|
|
if (!limitc->constisnull && count > 0)
|
|
{
|
|
limit_fraction = (double) count;
|
|
/* We must also consider the OFFSET, if present */
|
|
if (parse->limitOffset != NULL)
|
|
{
|
|
if (IsA(parse->limitOffset, Const))
|
|
{
|
|
int32 offset;
|
|
|
|
limitc = (Const *) parse->limitOffset;
|
|
offset = DatumGetInt32(limitc->constvalue);
|
|
if (!limitc->constisnull && offset > 0)
|
|
limit_fraction += (double) offset;
|
|
}
|
|
else
|
|
{
|
|
/* OFFSET is an expression ... punt ... */
|
|
limit_fraction = 0.10;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
/* LIMIT is an expression ... punt ... */
|
|
limit_fraction = 0.10;
|
|
}
|
|
|
|
if (limit_fraction > 0.0)
|
|
{
|
|
/*
|
|
* If we have absolute limits from both caller and LIMIT,
|
|
* use the smaller value; if one is fractional and the other
|
|
* absolute, treat the fraction as a fraction of the absolute
|
|
* value; else we can multiply the two fractions together.
|
|
*/
|
|
if (tuple_fraction >= 1.0)
|
|
{
|
|
if (limit_fraction >= 1.0)
|
|
{
|
|
/* both absolute */
|
|
tuple_fraction = Min(tuple_fraction, limit_fraction);
|
|
}
|
|
else
|
|
{
|
|
/* caller absolute, limit fractional */
|
|
tuple_fraction *= limit_fraction;
|
|
if (tuple_fraction < 1.0)
|
|
tuple_fraction = 1.0;
|
|
}
|
|
}
|
|
else if (tuple_fraction > 0.0)
|
|
{
|
|
if (limit_fraction >= 1.0)
|
|
{
|
|
/* caller fractional, limit absolute */
|
|
tuple_fraction *= limit_fraction;
|
|
if (tuple_fraction < 1.0)
|
|
tuple_fraction = 1.0;
|
|
}
|
|
else
|
|
{
|
|
/* both fractional */
|
|
tuple_fraction *= limit_fraction;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
/* no info from caller, just use limit */
|
|
tuple_fraction = limit_fraction;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (parse->groupClause)
|
|
{
|
|
|
|
/*
|
|
* In GROUP BY mode, we have the little problem that we don't
|
|
* really know how many input tuples will be needed to make a
|
|
* group, so we can't translate an output LIMIT count into an
|
|
* input count. For lack of a better idea, assume 25% of the
|
|
* input data will be processed if there is any output limit.
|
|
* However, if the caller gave us a fraction rather than an
|
|
* absolute count, we can keep using that fraction (which
|
|
* amounts to assuming that all the groups are about the same
|
|
* size).
|
|
*/
|
|
if (tuple_fraction >= 1.0)
|
|
tuple_fraction = 0.25;
|
|
|
|
/*
|
|
* If both GROUP BY and ORDER BY are specified, we will need
|
|
* two levels of sort --- and, therefore, certainly need to
|
|
* read all the input tuples --- unless ORDER BY is a subset
|
|
* of GROUP BY. (We have not yet canonicalized the pathkeys,
|
|
* so must use the slower noncanonical comparison method.)
|
|
*/
|
|
if (parse->groupClause && parse->sortClause &&
|
|
!noncanonical_pathkeys_contained_in(sort_pathkeys,
|
|
group_pathkeys))
|
|
tuple_fraction = 0.0;
|
|
}
|
|
else if (parse->hasAggs)
|
|
{
|
|
|
|
/*
|
|
* Ungrouped aggregate will certainly want all the input
|
|
* tuples.
|
|
*/
|
|
tuple_fraction = 0.0;
|
|
}
|
|
else if (parse->distinctClause)
|
|
{
|
|
|
|
/*
|
|
* SELECT DISTINCT, like GROUP, will absorb an unpredictable
|
|
* number of input tuples per output tuple. Handle the same
|
|
* way.
|
|
*/
|
|
if (tuple_fraction >= 1.0)
|
|
tuple_fraction = 0.25;
|
|
}
|
|
|
|
/* Generate the basic plan for this Query */
|
|
result_plan = query_planner(parse,
|
|
sub_tlist,
|
|
tuple_fraction);
|
|
|
|
/*
|
|
* query_planner returns actual sort order (which is not
|
|
* necessarily what we requested) in query_pathkeys.
|
|
*/
|
|
current_pathkeys = parse->query_pathkeys;
|
|
}
|
|
|
|
/*
|
|
* We couldn't canonicalize group_pathkeys and sort_pathkeys before
|
|
* running query_planner(), so do it now.
|
|
*/
|
|
group_pathkeys = canonicalize_pathkeys(parse, group_pathkeys);
|
|
sort_pathkeys = canonicalize_pathkeys(parse, sort_pathkeys);
|
|
|
|
/*
|
|
* If we have a GROUP BY clause, insert a group node (plus the
|
|
* appropriate sort node, if necessary).
|
|
*/
|
|
if (parse->groupClause)
|
|
{
|
|
bool tuplePerGroup;
|
|
List *group_tlist;
|
|
bool is_sorted;
|
|
|
|
/*
|
|
* Decide whether how many tuples per group the Group node needs
|
|
* to return. (Needs only one tuple per group if no aggregate is
|
|
* present. Otherwise, need every tuple from the group to do the
|
|
* aggregation.) Note tuplePerGroup is named backwards :-(
|
|
*/
|
|
tuplePerGroup = parse->hasAggs;
|
|
|
|
/*
|
|
* If there are aggregates then the Group node should just return
|
|
* the same set of vars as the subplan did (but we can exclude any
|
|
* GROUP BY expressions). If there are no aggregates then the
|
|
* Group node had better compute the final tlist.
|
|
*/
|
|
if (parse->hasAggs)
|
|
group_tlist = flatten_tlist(result_plan->targetlist);
|
|
else
|
|
group_tlist = tlist;
|
|
|
|
/*
|
|
* Figure out whether the path result is already ordered the way
|
|
* we need it --- if so, no need for an explicit sort step.
|
|
*/
|
|
if (pathkeys_contained_in(group_pathkeys, current_pathkeys))
|
|
{
|
|
is_sorted = true; /* no sort needed now */
|
|
/* current_pathkeys remains unchanged */
|
|
}
|
|
else
|
|
{
|
|
|
|
/*
|
|
* We will need to do an explicit sort by the GROUP BY clause.
|
|
* make_groupplan will do the work, but set current_pathkeys
|
|
* to indicate the resulting order.
|
|
*/
|
|
is_sorted = false;
|
|
current_pathkeys = group_pathkeys;
|
|
}
|
|
|
|
result_plan = make_groupplan(group_tlist,
|
|
tuplePerGroup,
|
|
parse->groupClause,
|
|
groupColIdx,
|
|
is_sorted,
|
|
result_plan);
|
|
}
|
|
|
|
/*
|
|
* If aggregate is present, insert the Agg node
|
|
*
|
|
* HAVING clause, if any, becomes qual of the Agg node
|
|
*/
|
|
if (parse->hasAggs)
|
|
{
|
|
result_plan = (Plan *) make_agg(tlist,
|
|
(List *) parse->havingQual,
|
|
result_plan);
|
|
/* Note: Agg does not affect any existing sort order of the tuples */
|
|
}
|
|
else
|
|
{
|
|
/* If there are no Aggs, we shouldn't have any HAVING qual anymore */
|
|
Assert(parse->havingQual == NULL);
|
|
}
|
|
|
|
/*
|
|
* If we were not able to make the plan come out in the right order,
|
|
* add an explicit sort step.
|
|
*/
|
|
if (parse->sortClause)
|
|
{
|
|
if (!pathkeys_contained_in(sort_pathkeys, current_pathkeys))
|
|
result_plan = make_sortplan(tlist, result_plan,
|
|
parse->sortClause);
|
|
}
|
|
|
|
/*
|
|
* If there is a DISTINCT clause, add the UNIQUE node.
|
|
*/
|
|
if (parse->distinctClause)
|
|
{
|
|
result_plan = (Plan *) make_unique(tlist, result_plan,
|
|
parse->distinctClause);
|
|
}
|
|
|
|
/*
|
|
* Finally, if there is a LIMIT/OFFSET clause, add the LIMIT node.
|
|
*/
|
|
if (parse->limitOffset || parse->limitCount)
|
|
{
|
|
result_plan = (Plan *) make_limit(tlist, result_plan,
|
|
parse->limitOffset,
|
|
parse->limitCount);
|
|
}
|
|
|
|
return result_plan;
|
|
}
|
|
|
|
/*---------------
|
|
* make_subplanTargetList
|
|
* Generate appropriate target list when grouping is required.
|
|
*
|
|
* When grouping_planner inserts Aggregate and/or Group plan nodes above
|
|
* the result of query_planner, we typically want to pass a different
|
|
* target list to query_planner than the outer plan nodes should have.
|
|
* This routine generates the correct target list for the subplan.
|
|
*
|
|
* The initial target list passed from the parser already contains entries
|
|
* for all ORDER BY and GROUP BY expressions, but it will not have entries
|
|
* for variables used only in HAVING clauses; so we need to add those
|
|
* variables to the subplan target list. Also, if we are doing either
|
|
* grouping or aggregation, we flatten all expressions except GROUP BY items
|
|
* into their component variables; the other expressions will be computed by
|
|
* the inserted nodes rather than by the subplan. For example,
|
|
* given a query like
|
|
* SELECT a+b,SUM(c+d) FROM table GROUP BY a+b;
|
|
* we want to pass this targetlist to the subplan:
|
|
* a,b,c,d,a+b
|
|
* where the a+b target will be used by the Sort/Group steps, and the
|
|
* other targets will be used for computing the final results. (In the
|
|
* above example we could theoretically suppress the a and b targets and
|
|
* use only a+b, but it's not really worth the trouble.)
|
|
*
|
|
* 'parse' is the query being processed.
|
|
* 'tlist' is the query's target list.
|
|
* 'groupColIdx' receives an array of column numbers for the GROUP BY
|
|
* expressions (if there are any) in the subplan's target list.
|
|
*
|
|
* The result is the targetlist to be passed to the subplan.
|
|
*---------------
|
|
*/
|
|
static List *
|
|
make_subplanTargetList(Query *parse,
|
|
List *tlist,
|
|
AttrNumber **groupColIdx)
|
|
{
|
|
List *sub_tlist;
|
|
List *extravars;
|
|
int numCols;
|
|
|
|
*groupColIdx = NULL;
|
|
|
|
/*
|
|
* If we're not grouping or aggregating, nothing to do here;
|
|
* query_planner should receive the unmodified target list.
|
|
*/
|
|
if (!parse->hasAggs && !parse->groupClause && !parse->havingQual)
|
|
return tlist;
|
|
|
|
/*
|
|
* Otherwise, start with a "flattened" tlist (having just the vars
|
|
* mentioned in the targetlist and HAVING qual --- but not upper-
|
|
* level Vars; they will be replaced by Params later on).
|
|
*/
|
|
sub_tlist = flatten_tlist(tlist);
|
|
extravars = pull_var_clause(parse->havingQual, false);
|
|
sub_tlist = add_to_flat_tlist(sub_tlist, extravars);
|
|
freeList(extravars);
|
|
|
|
/*
|
|
* If grouping, create sub_tlist entries for all GROUP BY expressions
|
|
* (GROUP BY items that are simple Vars should be in the list
|
|
* already), and make an array showing where the group columns are in
|
|
* the sub_tlist.
|
|
*/
|
|
numCols = length(parse->groupClause);
|
|
if (numCols > 0)
|
|
{
|
|
int keyno = 0;
|
|
AttrNumber *grpColIdx;
|
|
List *gl;
|
|
|
|
grpColIdx = (AttrNumber *) palloc(sizeof(AttrNumber) * numCols);
|
|
*groupColIdx = grpColIdx;
|
|
|
|
foreach(gl, parse->groupClause)
|
|
{
|
|
GroupClause *grpcl = (GroupClause *) lfirst(gl);
|
|
Node *groupexpr = get_sortgroupclause_expr(grpcl, tlist);
|
|
TargetEntry *te = NULL;
|
|
List *sl;
|
|
|
|
/* Find or make a matching sub_tlist entry */
|
|
foreach(sl, sub_tlist)
|
|
{
|
|
te = (TargetEntry *) lfirst(sl);
|
|
if (equal(groupexpr, te->expr))
|
|
break;
|
|
}
|
|
if (!sl)
|
|
{
|
|
te = makeTargetEntry(makeResdom(length(sub_tlist) + 1,
|
|
exprType(groupexpr),
|
|
exprTypmod(groupexpr),
|
|
NULL,
|
|
false),
|
|
groupexpr);
|
|
sub_tlist = lappend(sub_tlist, te);
|
|
}
|
|
|
|
/* and save its resno */
|
|
grpColIdx[keyno++] = te->resdom->resno;
|
|
}
|
|
}
|
|
|
|
return sub_tlist;
|
|
}
|
|
|
|
/*
|
|
* make_groupplan
|
|
* Add a Group node for GROUP BY processing.
|
|
* If we couldn't make the subplan produce presorted output for grouping,
|
|
* first add an explicit Sort node.
|
|
*/
|
|
static Plan *
|
|
make_groupplan(List *group_tlist,
|
|
bool tuplePerGroup,
|
|
List *groupClause,
|
|
AttrNumber *grpColIdx,
|
|
bool is_presorted,
|
|
Plan *subplan)
|
|
{
|
|
int numCols = length(groupClause);
|
|
|
|
if (!is_presorted)
|
|
{
|
|
|
|
/*
|
|
* The Sort node always just takes a copy of the subplan's tlist
|
|
* plus ordering information. (This might seem inefficient if the
|
|
* subplan contains complex GROUP BY expressions, but in fact Sort
|
|
* does not evaluate its targetlist --- it only outputs the same
|
|
* tuples in a new order. So the expressions we might be copying
|
|
* are just dummies with no extra execution cost.)
|
|
*/
|
|
List *sort_tlist = new_unsorted_tlist(subplan->targetlist);
|
|
int keyno = 0;
|
|
List *gl;
|
|
|
|
foreach(gl, groupClause)
|
|
{
|
|
GroupClause *grpcl = (GroupClause *) lfirst(gl);
|
|
TargetEntry *te = nth(grpColIdx[keyno] - 1, sort_tlist);
|
|
Resdom *resdom = te->resdom;
|
|
|
|
/*
|
|
* Check for the possibility of duplicate group-by clauses ---
|
|
* the parser should have removed 'em, but the Sort executor
|
|
* will get terribly confused if any get through!
|
|
*/
|
|
if (resdom->reskey == 0)
|
|
{
|
|
/* OK, insert the ordering info needed by the executor. */
|
|
resdom->reskey = ++keyno;
|
|
resdom->reskeyop = get_opcode(grpcl->sortop);
|
|
}
|
|
}
|
|
|
|
Assert(keyno > 0);
|
|
|
|
subplan = (Plan *) make_sort(sort_tlist, subplan, keyno);
|
|
}
|
|
|
|
return (Plan *) make_group(group_tlist, tuplePerGroup, numCols,
|
|
grpColIdx, subplan);
|
|
}
|
|
|
|
/*
|
|
* make_sortplan
|
|
* Add a Sort node to implement an explicit ORDER BY clause.
|
|
*/
|
|
Plan *
|
|
make_sortplan(List *tlist, Plan *plannode, List *sortcls)
|
|
{
|
|
List *sort_tlist;
|
|
List *i;
|
|
int keyno = 0;
|
|
|
|
/*
|
|
* First make a copy of the tlist so that we don't corrupt the
|
|
* original.
|
|
*/
|
|
sort_tlist = new_unsorted_tlist(tlist);
|
|
|
|
foreach(i, sortcls)
|
|
{
|
|
SortClause *sortcl = (SortClause *) lfirst(i);
|
|
TargetEntry *tle = get_sortgroupclause_tle(sortcl, sort_tlist);
|
|
Resdom *resdom = tle->resdom;
|
|
|
|
/*
|
|
* Check for the possibility of duplicate order-by clauses --- the
|
|
* parser should have removed 'em, but the executor will get
|
|
* terribly confused if any get through!
|
|
*/
|
|
if (resdom->reskey == 0)
|
|
{
|
|
/* OK, insert the ordering info needed by the executor. */
|
|
resdom->reskey = ++keyno;
|
|
resdom->reskeyop = get_opcode(sortcl->sortop);
|
|
}
|
|
}
|
|
|
|
Assert(keyno > 0);
|
|
|
|
return (Plan *) make_sort(sort_tlist, plannode, keyno);
|
|
}
|
|
|
|
/*
|
|
* postprocess_setop_tlist
|
|
* Fix up targetlist returned by plan_set_operations().
|
|
*
|
|
* We need to transpose sort key info from the orig_tlist into new_tlist.
|
|
* NOTE: this would not be good enough if we supported resjunk sort keys
|
|
* for results of set operations --- then, we'd need to project a whole
|
|
* new tlist to evaluate the resjunk columns. For now, just elog if we
|
|
* find any resjunk columns in orig_tlist.
|
|
*/
|
|
static List *
|
|
postprocess_setop_tlist(List *new_tlist, List *orig_tlist)
|
|
{
|
|
List *l;
|
|
|
|
foreach(l, new_tlist)
|
|
{
|
|
TargetEntry *new_tle = (TargetEntry *) lfirst(l);
|
|
TargetEntry *orig_tle;
|
|
|
|
/* ignore resjunk columns in setop result */
|
|
if (new_tle->resdom->resjunk)
|
|
continue;
|
|
|
|
Assert(orig_tlist != NIL);
|
|
orig_tle = (TargetEntry *) lfirst(orig_tlist);
|
|
orig_tlist = lnext(orig_tlist);
|
|
if (orig_tle->resdom->resjunk)
|
|
elog(ERROR, "postprocess_setop_tlist: resjunk output columns not implemented");
|
|
Assert(new_tle->resdom->resno == orig_tle->resdom->resno);
|
|
Assert(new_tle->resdom->restype == orig_tle->resdom->restype);
|
|
new_tle->resdom->ressortgroupref = orig_tle->resdom->ressortgroupref;
|
|
}
|
|
if (orig_tlist != NIL)
|
|
elog(ERROR, "postprocess_setop_tlist: resjunk output columns not implemented");
|
|
return new_tlist;
|
|
}
|