mirror of
https://github.com/postgres/postgres.git
synced 2026-02-03 20:40:14 -05:00
node now does its own grouping of the input rows, and has no need for a preceding GROUP node in the plan pipeline. This allows elimination of the misnamed tuplePerGroup option for GROUP, and actually saves more code in nodeGroup.c than it costs in nodeAgg.c, as well as being presumably faster. Restructure the API of query_planner so that we do not commit to using a sorted or unsorted plan in query_planner; instead grouping_planner makes the decision. (Right now it isn't any smarter than query_planner was, but that will change as soon as it has the option to select a hash- based aggregation step.) Despite all the hackery, no initdb needed since only in-memory node types changed.
858 lines
23 KiB
C
858 lines
23 KiB
C
/*-------------------------------------------------------------------------
|
|
*
|
|
* allpaths.c
|
|
* Routines to find possible search paths for processing a query
|
|
*
|
|
* Portions Copyright (c) 1996-2002, PostgreSQL Global Development Group
|
|
* Portions Copyright (c) 1994, Regents of the University of California
|
|
*
|
|
*
|
|
* IDENTIFICATION
|
|
* $Header: /cvsroot/pgsql/src/backend/optimizer/path/allpaths.c,v 1.89 2002/11/06 00:00:44 tgl Exp $
|
|
*
|
|
*-------------------------------------------------------------------------
|
|
*/
|
|
|
|
#include "postgres.h"
|
|
|
|
#ifdef OPTIMIZER_DEBUG
|
|
#include "nodes/print.h"
|
|
#endif
|
|
#include "optimizer/clauses.h"
|
|
#include "optimizer/cost.h"
|
|
#include "optimizer/geqo.h"
|
|
#include "optimizer/pathnode.h"
|
|
#include "optimizer/paths.h"
|
|
#include "optimizer/plancat.h"
|
|
#include "optimizer/planner.h"
|
|
#include "optimizer/prep.h"
|
|
#include "parser/parsetree.h"
|
|
#include "rewrite/rewriteManip.h"
|
|
|
|
|
|
bool enable_geqo = true;
|
|
int geqo_rels = DEFAULT_GEQO_RELS;
|
|
|
|
|
|
static void set_base_rel_pathlists(Query *root);
|
|
static void set_plain_rel_pathlist(Query *root, RelOptInfo *rel,
|
|
RangeTblEntry *rte);
|
|
static void set_inherited_rel_pathlist(Query *root, RelOptInfo *rel,
|
|
Index rti, RangeTblEntry *rte,
|
|
List *inheritlist);
|
|
static void set_subquery_pathlist(Query *root, RelOptInfo *rel,
|
|
Index rti, RangeTblEntry *rte);
|
|
static void set_function_pathlist(Query *root, RelOptInfo *rel,
|
|
RangeTblEntry *rte);
|
|
static RelOptInfo *make_one_rel_by_joins(Query *root, int levels_needed,
|
|
List *initial_rels);
|
|
static bool subquery_is_pushdown_safe(Query *subquery, Query *topquery);
|
|
static bool recurse_pushdown_safe(Node *setOp, Query *topquery);
|
|
static void subquery_push_qual(Query *subquery, Index rti, Node *qual);
|
|
static void recurse_push_qual(Node *setOp, Query *topquery,
|
|
Index rti, Node *qual);
|
|
|
|
|
|
/*
|
|
* make_one_rel
|
|
* Finds all possible access paths for executing a query, returning a
|
|
* single rel that represents the join of all base rels in the query.
|
|
*/
|
|
RelOptInfo *
|
|
make_one_rel(Query *root)
|
|
{
|
|
RelOptInfo *rel;
|
|
|
|
/*
|
|
* Generate access paths for the base rels.
|
|
*/
|
|
set_base_rel_pathlists(root);
|
|
|
|
/*
|
|
* Generate access paths for the entire join tree.
|
|
*/
|
|
Assert(root->jointree != NULL && IsA(root->jointree, FromExpr));
|
|
|
|
rel = make_fromexpr_rel(root, root->jointree);
|
|
|
|
/*
|
|
* The result should join all the query's base rels.
|
|
*/
|
|
Assert(length(rel->relids) == length(root->base_rel_list));
|
|
|
|
return rel;
|
|
}
|
|
|
|
/*
|
|
* set_base_rel_pathlists
|
|
* Finds all paths available for scanning each base-relation entry.
|
|
* Sequential scan and any available indices are considered.
|
|
* Each useful path is attached to its relation's 'pathlist' field.
|
|
*/
|
|
static void
|
|
set_base_rel_pathlists(Query *root)
|
|
{
|
|
List *rellist;
|
|
|
|
foreach(rellist, root->base_rel_list)
|
|
{
|
|
RelOptInfo *rel = (RelOptInfo *) lfirst(rellist);
|
|
Index rti;
|
|
RangeTblEntry *rte;
|
|
List *inheritlist;
|
|
|
|
Assert(length(rel->relids) == 1); /* better be base rel */
|
|
rti = lfirsti(rel->relids);
|
|
rte = rt_fetch(rti, root->rtable);
|
|
|
|
if (rel->rtekind == RTE_SUBQUERY)
|
|
{
|
|
/* Subquery --- generate a separate plan for it */
|
|
set_subquery_pathlist(root, rel, rti, rte);
|
|
}
|
|
else if (rel->rtekind == RTE_FUNCTION)
|
|
{
|
|
/* RangeFunction --- generate a separate plan for it */
|
|
set_function_pathlist(root, rel, rte);
|
|
}
|
|
else if ((inheritlist = expand_inherted_rtentry(root, rti, true))
|
|
!= NIL)
|
|
{
|
|
/* Relation is root of an inheritance tree, process specially */
|
|
set_inherited_rel_pathlist(root, rel, rti, rte, inheritlist);
|
|
}
|
|
else
|
|
{
|
|
/* Plain relation */
|
|
set_plain_rel_pathlist(root, rel, rte);
|
|
}
|
|
|
|
#ifdef OPTIMIZER_DEBUG
|
|
debug_print_rel(root, rel);
|
|
#endif
|
|
}
|
|
}
|
|
|
|
/*
|
|
* set_plain_rel_pathlist
|
|
* Build access paths for a plain relation (no subquery, no inheritance)
|
|
*/
|
|
static void
|
|
set_plain_rel_pathlist(Query *root, RelOptInfo *rel, RangeTblEntry *rte)
|
|
{
|
|
/* Mark rel with estimated output rows, width, etc */
|
|
set_baserel_size_estimates(root, rel);
|
|
|
|
/*
|
|
* Generate paths and add them to the rel's pathlist.
|
|
*
|
|
* Note: add_path() will discard any paths that are dominated by another
|
|
* available path, keeping only those paths that are superior along at
|
|
* least one dimension of cost or sortedness.
|
|
*/
|
|
|
|
/* Consider sequential scan */
|
|
add_path(rel, create_seqscan_path(root, rel));
|
|
|
|
/* Consider TID scans */
|
|
create_tidscan_paths(root, rel);
|
|
|
|
/* Consider index paths for both simple and OR index clauses */
|
|
create_index_paths(root, rel);
|
|
|
|
/* create_index_paths must be done before create_or_index_paths */
|
|
create_or_index_paths(root, rel);
|
|
|
|
/* Now find the cheapest of the paths for this rel */
|
|
set_cheapest(rel);
|
|
}
|
|
|
|
/*
|
|
* set_inherited_rel_pathlist
|
|
* Build access paths for a inheritance tree rooted at rel
|
|
*
|
|
* inheritlist is a list of RT indexes of all tables in the inheritance tree,
|
|
* including a duplicate of the parent itself. Note we will not come here
|
|
* unless there's at least one child in addition to the parent.
|
|
*
|
|
* NOTE: the passed-in rel and RTE will henceforth represent the appended
|
|
* result of the whole inheritance tree. The members of inheritlist represent
|
|
* the individual tables --- in particular, the inheritlist member that is a
|
|
* duplicate of the parent RTE represents the parent table alone.
|
|
* We will generate plans to scan the individual tables that refer to
|
|
* the inheritlist RTEs, whereas Vars elsewhere in the plan tree that
|
|
* refer to the original RTE are taken to refer to the append output.
|
|
* In particular, this means we have separate RelOptInfos for the parent
|
|
* table and for the append output, which is a good thing because they're
|
|
* not the same size.
|
|
*/
|
|
static void
|
|
set_inherited_rel_pathlist(Query *root, RelOptInfo *rel,
|
|
Index rti, RangeTblEntry *rte,
|
|
List *inheritlist)
|
|
{
|
|
int parentRTindex = rti;
|
|
Oid parentOID = rte->relid;
|
|
List *subpaths = NIL;
|
|
List *il;
|
|
|
|
/*
|
|
* XXX for now, can't handle inherited expansion of FOR UPDATE; can we
|
|
* do better?
|
|
*/
|
|
if (intMember(parentRTindex, root->rowMarks))
|
|
elog(ERROR, "SELECT FOR UPDATE is not supported for inherit queries");
|
|
|
|
/*
|
|
* The executor will check the parent table's access permissions when
|
|
* it examines the parent's inheritlist entry. There's no need to
|
|
* check twice, so turn off access check bits in the original RTE.
|
|
*/
|
|
rte->checkForRead = false;
|
|
rte->checkForWrite = false;
|
|
|
|
/*
|
|
* Initialize to compute size estimates for whole inheritance tree
|
|
*/
|
|
rel->rows = 0;
|
|
rel->width = 0;
|
|
|
|
/*
|
|
* Generate access paths for each table in the tree (parent AND
|
|
* children), and pick the cheapest path for each table.
|
|
*/
|
|
foreach(il, inheritlist)
|
|
{
|
|
int childRTindex = lfirsti(il);
|
|
RangeTblEntry *childrte;
|
|
Oid childOID;
|
|
RelOptInfo *childrel;
|
|
|
|
childrte = rt_fetch(childRTindex, root->rtable);
|
|
childOID = childrte->relid;
|
|
|
|
/*
|
|
* Make a RelOptInfo for the child so we can do planning. Do NOT
|
|
* attach the RelOptInfo to the query's base_rel_list, however,
|
|
* since the child is not part of the main join tree. Instead,
|
|
* the child RelOptInfo is added to other_rel_list.
|
|
*/
|
|
childrel = build_other_rel(root, childRTindex);
|
|
|
|
/*
|
|
* Copy the parent's targetlist and restriction quals to the
|
|
* child, with attribute-number adjustment as needed. We don't
|
|
* bother to copy the join quals, since we can't do any joining of
|
|
* the individual tables.
|
|
*/
|
|
childrel->targetlist = (List *)
|
|
adjust_inherited_attrs((Node *) rel->targetlist,
|
|
parentRTindex,
|
|
parentOID,
|
|
childRTindex,
|
|
childOID);
|
|
childrel->baserestrictinfo = (List *)
|
|
adjust_inherited_attrs((Node *) rel->baserestrictinfo,
|
|
parentRTindex,
|
|
parentOID,
|
|
childRTindex,
|
|
childOID);
|
|
childrel->baserestrictcost = rel->baserestrictcost;
|
|
|
|
/*
|
|
* Now compute child access paths, and save the cheapest.
|
|
*/
|
|
set_plain_rel_pathlist(root, childrel, childrte);
|
|
|
|
subpaths = lappend(subpaths, childrel->cheapest_total_path);
|
|
|
|
/* Also update total size estimates */
|
|
rel->rows += childrel->rows;
|
|
if (childrel->width > rel->width)
|
|
rel->width = childrel->width;
|
|
}
|
|
|
|
/*
|
|
* Finally, build Append path and install it as the only access path
|
|
* for the parent rel.
|
|
*/
|
|
add_path(rel, (Path *) create_append_path(rel, subpaths));
|
|
|
|
/* Select cheapest path (pretty easy in this case...) */
|
|
set_cheapest(rel);
|
|
}
|
|
|
|
/*
|
|
* set_subquery_pathlist
|
|
* Build the (single) access path for a subquery RTE
|
|
*/
|
|
static void
|
|
set_subquery_pathlist(Query *root, RelOptInfo *rel,
|
|
Index rti, RangeTblEntry *rte)
|
|
{
|
|
Query *subquery = rte->subquery;
|
|
|
|
/*
|
|
* If there are any restriction clauses that have been attached to the
|
|
* subquery relation, consider pushing them down to become HAVING
|
|
* quals of the subquery itself. (Not WHERE clauses, since they may
|
|
* refer to subquery outputs that are aggregate results. But
|
|
* planner.c will transfer them into the subquery's WHERE if they do
|
|
* not.) This transformation is useful because it may allow us to
|
|
* generate a better plan for the subquery than evaluating all the
|
|
* subquery output rows and then filtering them.
|
|
*
|
|
* There are several cases where we cannot push down clauses.
|
|
* Restrictions involving the subquery are checked by
|
|
* subquery_is_pushdown_safe(). Also, we do not push down clauses
|
|
* that contain subselects, mainly because I'm not sure it will work
|
|
* correctly (the subplan hasn't yet transformed sublinks to
|
|
* subselects).
|
|
*
|
|
* Non-pushed-down clauses will get evaluated as qpquals of the
|
|
* SubqueryScan node.
|
|
*
|
|
* XXX Are there any cases where we want to make a policy decision not to
|
|
* push down, because it'd result in a worse plan?
|
|
*/
|
|
if (rel->baserestrictinfo != NIL &&
|
|
subquery_is_pushdown_safe(subquery, subquery))
|
|
{
|
|
/* OK to consider pushing down individual quals */
|
|
List *upperrestrictlist = NIL;
|
|
List *lst;
|
|
|
|
foreach(lst, rel->baserestrictinfo)
|
|
{
|
|
RestrictInfo *rinfo = (RestrictInfo *) lfirst(lst);
|
|
Node *clause = (Node *) rinfo->clause;
|
|
|
|
if (contain_subplans(clause))
|
|
{
|
|
/* Keep it in the upper query */
|
|
upperrestrictlist = lappend(upperrestrictlist, rinfo);
|
|
}
|
|
else
|
|
{
|
|
/* Push it down */
|
|
subquery_push_qual(subquery, rti, clause);
|
|
}
|
|
}
|
|
rel->baserestrictinfo = upperrestrictlist;
|
|
}
|
|
|
|
/* Generate the plan for the subquery */
|
|
rel->subplan = subquery_planner(subquery,
|
|
-1.0 /* default case */ );
|
|
|
|
/* Copy number of output rows from subplan */
|
|
rel->tuples = rel->subplan->plan_rows;
|
|
|
|
/* Mark rel with estimated output rows, width, etc */
|
|
set_baserel_size_estimates(root, rel);
|
|
|
|
/* Generate appropriate path */
|
|
add_path(rel, create_subqueryscan_path(rel));
|
|
|
|
/* Select cheapest path (pretty easy in this case...) */
|
|
set_cheapest(rel);
|
|
}
|
|
|
|
/*
|
|
* set_function_pathlist
|
|
* Build the (single) access path for a function RTE
|
|
*/
|
|
static void
|
|
set_function_pathlist(Query *root, RelOptInfo *rel, RangeTblEntry *rte)
|
|
{
|
|
/* Mark rel with estimated output rows, width, etc */
|
|
set_function_size_estimates(root, rel);
|
|
|
|
/* Generate appropriate path */
|
|
add_path(rel, create_functionscan_path(root, rel));
|
|
|
|
/* Select cheapest path (pretty easy in this case...) */
|
|
set_cheapest(rel);
|
|
}
|
|
|
|
/*
|
|
* make_fromexpr_rel
|
|
* Build access paths for a FromExpr jointree node.
|
|
*/
|
|
RelOptInfo *
|
|
make_fromexpr_rel(Query *root, FromExpr *from)
|
|
{
|
|
int levels_needed;
|
|
List *initial_rels = NIL;
|
|
List *jt;
|
|
|
|
/*
|
|
* Count the number of child jointree nodes. This is the depth of the
|
|
* dynamic-programming algorithm we must employ to consider all ways
|
|
* of joining the child nodes.
|
|
*/
|
|
levels_needed = length(from->fromlist);
|
|
|
|
if (levels_needed <= 0)
|
|
return NULL; /* nothing to do? */
|
|
|
|
/*
|
|
* Construct a list of rels corresponding to the child jointree nodes.
|
|
* This may contain both base rels and rels constructed according to
|
|
* explicit JOIN directives.
|
|
*/
|
|
foreach(jt, from->fromlist)
|
|
{
|
|
Node *jtnode = (Node *) lfirst(jt);
|
|
|
|
initial_rels = lappend(initial_rels,
|
|
make_jointree_rel(root, jtnode));
|
|
}
|
|
|
|
if (levels_needed == 1)
|
|
{
|
|
/*
|
|
* Single jointree node, so we're done.
|
|
*/
|
|
return (RelOptInfo *) lfirst(initial_rels);
|
|
}
|
|
else
|
|
{
|
|
/*
|
|
* Consider the different orders in which we could join the rels,
|
|
* using either GEQO or regular optimizer.
|
|
*/
|
|
if (enable_geqo && levels_needed >= geqo_rels)
|
|
return geqo(root, levels_needed, initial_rels);
|
|
else
|
|
return make_one_rel_by_joins(root, levels_needed, initial_rels);
|
|
}
|
|
}
|
|
|
|
/*
|
|
* make_one_rel_by_joins
|
|
* Find all possible joinpaths for a query by successively finding ways
|
|
* to join component relations into join relations.
|
|
*
|
|
* 'levels_needed' is the number of iterations needed, ie, the number of
|
|
* independent jointree items in the query. This is > 1.
|
|
*
|
|
* 'initial_rels' is a list of RelOptInfo nodes for each independent
|
|
* jointree item. These are the components to be joined together.
|
|
*
|
|
* Returns the final level of join relations, i.e., the relation that is
|
|
* the result of joining all the original relations together.
|
|
*/
|
|
static RelOptInfo *
|
|
make_one_rel_by_joins(Query *root, int levels_needed, List *initial_rels)
|
|
{
|
|
List **joinitems;
|
|
int lev;
|
|
RelOptInfo *rel;
|
|
|
|
/*
|
|
* We employ a simple "dynamic programming" algorithm: we first find
|
|
* all ways to build joins of two jointree items, then all ways to
|
|
* build joins of three items (from two-item joins and single items),
|
|
* then four-item joins, and so on until we have considered all ways
|
|
* to join all the items into one rel.
|
|
*
|
|
* joinitems[j] is a list of all the j-item rels. Initially we set
|
|
* joinitems[1] to represent all the single-jointree-item relations.
|
|
*/
|
|
joinitems = (List **) palloc((levels_needed + 1) * sizeof(List *));
|
|
MemSet(joinitems, 0, (levels_needed + 1) * sizeof(List *));
|
|
|
|
joinitems[1] = initial_rels;
|
|
|
|
for (lev = 2; lev <= levels_needed; lev++)
|
|
{
|
|
List *x;
|
|
|
|
/*
|
|
* Determine all possible pairs of relations to be joined at this
|
|
* level, and build paths for making each one from every available
|
|
* pair of lower-level relations.
|
|
*/
|
|
joinitems[lev] = make_rels_by_joins(root, lev, joinitems);
|
|
|
|
/*
|
|
* Do cleanup work on each just-processed rel.
|
|
*/
|
|
foreach(x, joinitems[lev])
|
|
{
|
|
rel = (RelOptInfo *) lfirst(x);
|
|
|
|
#ifdef NOT_USED
|
|
|
|
/*
|
|
* * for each expensive predicate in each path in each
|
|
* distinct rel, * consider doing pullup -- JMH
|
|
*/
|
|
if (XfuncMode != XFUNC_NOPULL && XfuncMode != XFUNC_OFF)
|
|
xfunc_trypullup(rel);
|
|
#endif
|
|
|
|
/* Find and save the cheapest paths for this rel */
|
|
set_cheapest(rel);
|
|
|
|
#ifdef OPTIMIZER_DEBUG
|
|
debug_print_rel(root, rel);
|
|
#endif
|
|
}
|
|
}
|
|
|
|
/*
|
|
* We should have a single rel at the final level.
|
|
*/
|
|
Assert(length(joinitems[levels_needed]) == 1);
|
|
|
|
rel = (RelOptInfo *) lfirst(joinitems[levels_needed]);
|
|
|
|
return rel;
|
|
}
|
|
|
|
/*****************************************************************************
|
|
* PUSHING QUALS DOWN INTO SUBQUERIES
|
|
*****************************************************************************/
|
|
|
|
/*
|
|
* subquery_is_pushdown_safe - is a subquery safe for pushing down quals?
|
|
*
|
|
* subquery is the particular component query being checked. topquery
|
|
* is the top component of a set-operations tree (the same Query if no
|
|
* set-op is involved).
|
|
*
|
|
* Conditions checked here:
|
|
*
|
|
* 1. If the subquery has a LIMIT clause or a DISTINCT ON clause, we must
|
|
* not push down any quals, since that could change the set of rows
|
|
* returned. (Actually, we could push down quals into a DISTINCT ON
|
|
* subquery if they refer only to DISTINCT-ed output columns, but
|
|
* checking that seems more work than it's worth. In any case, a
|
|
* plain DISTINCT is safe to push down past.)
|
|
*
|
|
* 2. If the subquery has any functions returning sets in its target list,
|
|
* we do not push down any quals, since the quals
|
|
* might refer to those tlist items, which would mean we'd introduce
|
|
* functions-returning-sets into the subquery's WHERE/HAVING quals.
|
|
* (It'd be sufficient to not push down quals that refer to those
|
|
* particular tlist items, but that's much clumsier to check.)
|
|
*
|
|
* 3. If the subquery contains EXCEPT or EXCEPT ALL set ops we cannot push
|
|
* quals into it, because that would change the results. For subqueries
|
|
* using UNION/UNION ALL/INTERSECT/INTERSECT ALL, we can push the quals
|
|
* into each component query, so long as all the component queries share
|
|
* identical output types. (That restriction could probably be relaxed,
|
|
* but it would take much more code to include type coercion code into
|
|
* the quals, and I'm also concerned about possible semantic gotchas.)
|
|
*/
|
|
static bool
|
|
subquery_is_pushdown_safe(Query *subquery, Query *topquery)
|
|
{
|
|
SetOperationStmt *topop;
|
|
|
|
/* Check points 1 and 2 */
|
|
if (subquery->limitOffset != NULL ||
|
|
subquery->limitCount != NULL ||
|
|
has_distinct_on_clause(subquery) ||
|
|
expression_returns_set((Node *) subquery->targetList))
|
|
return false;
|
|
|
|
/* Are we at top level, or looking at a setop component? */
|
|
if (subquery == topquery)
|
|
{
|
|
/* Top level, so check any component queries */
|
|
if (subquery->setOperations != NULL)
|
|
if (!recurse_pushdown_safe(subquery->setOperations, topquery))
|
|
return false;
|
|
}
|
|
else
|
|
{
|
|
/* Setop component must not have more components (too weird) */
|
|
if (subquery->setOperations != NULL)
|
|
return false;
|
|
/* Setop component output types must match top level */
|
|
topop = (SetOperationStmt *) topquery->setOperations;
|
|
Assert(topop && IsA(topop, SetOperationStmt));
|
|
if (!tlist_same_datatypes(subquery->targetList,
|
|
topop->colTypes,
|
|
true))
|
|
return false;
|
|
|
|
}
|
|
return true;
|
|
}
|
|
|
|
/*
|
|
* Helper routine to recurse through setOperations tree
|
|
*/
|
|
static bool
|
|
recurse_pushdown_safe(Node *setOp, Query *topquery)
|
|
{
|
|
if (IsA(setOp, RangeTblRef))
|
|
{
|
|
RangeTblRef *rtr = (RangeTblRef *) setOp;
|
|
RangeTblEntry *rte = rt_fetch(rtr->rtindex, topquery->rtable);
|
|
Query *subquery = rte->subquery;
|
|
|
|
Assert(subquery != NULL);
|
|
return subquery_is_pushdown_safe(subquery, topquery);
|
|
}
|
|
else if (IsA(setOp, SetOperationStmt))
|
|
{
|
|
SetOperationStmt *op = (SetOperationStmt *) setOp;
|
|
|
|
/* EXCEPT is no good */
|
|
if (op->op == SETOP_EXCEPT)
|
|
return false;
|
|
/* Else recurse */
|
|
if (!recurse_pushdown_safe(op->larg, topquery))
|
|
return false;
|
|
if (!recurse_pushdown_safe(op->rarg, topquery))
|
|
return false;
|
|
}
|
|
else
|
|
{
|
|
elog(ERROR, "recurse_pushdown_safe: unexpected node %d",
|
|
(int) nodeTag(setOp));
|
|
}
|
|
return true;
|
|
}
|
|
|
|
/*
|
|
* subquery_push_qual - push down a qual that we have determined is safe
|
|
*/
|
|
static void
|
|
subquery_push_qual(Query *subquery, Index rti, Node *qual)
|
|
{
|
|
if (subquery->setOperations != NULL)
|
|
{
|
|
/* Recurse to push it separately to each component query */
|
|
recurse_push_qual(subquery->setOperations, subquery, rti, qual);
|
|
}
|
|
else
|
|
{
|
|
/*
|
|
* We need to replace Vars in the qual (which must refer to
|
|
* outputs of the subquery) with copies of the subquery's
|
|
* targetlist expressions. Note that at this point, any uplevel
|
|
* Vars in the qual should have been replaced with Params, so they
|
|
* need no work.
|
|
*
|
|
* This step also ensures that when we are pushing into a setop tree,
|
|
* each component query gets its own copy of the qual.
|
|
*/
|
|
qual = ResolveNew(qual, rti, 0,
|
|
subquery->targetList,
|
|
CMD_SELECT, 0);
|
|
subquery->havingQual = make_and_qual(subquery->havingQual,
|
|
qual);
|
|
|
|
/*
|
|
* We need not change the subquery's hasAggs or hasSublinks flags,
|
|
* since we can't be pushing down any aggregates that weren't
|
|
* there before, and we don't push down subselects at all.
|
|
*/
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Helper routine to recurse through setOperations tree
|
|
*/
|
|
static void
|
|
recurse_push_qual(Node *setOp, Query *topquery,
|
|
Index rti, Node *qual)
|
|
{
|
|
if (IsA(setOp, RangeTblRef))
|
|
{
|
|
RangeTblRef *rtr = (RangeTblRef *) setOp;
|
|
RangeTblEntry *rte = rt_fetch(rtr->rtindex, topquery->rtable);
|
|
Query *subquery = rte->subquery;
|
|
|
|
Assert(subquery != NULL);
|
|
subquery_push_qual(subquery, rti, qual);
|
|
}
|
|
else if (IsA(setOp, SetOperationStmt))
|
|
{
|
|
SetOperationStmt *op = (SetOperationStmt *) setOp;
|
|
|
|
recurse_push_qual(op->larg, topquery, rti, qual);
|
|
recurse_push_qual(op->rarg, topquery, rti, qual);
|
|
}
|
|
else
|
|
{
|
|
elog(ERROR, "recurse_push_qual: unexpected node %d",
|
|
(int) nodeTag(setOp));
|
|
}
|
|
}
|
|
|
|
/*****************************************************************************
|
|
* DEBUG SUPPORT
|
|
*****************************************************************************/
|
|
|
|
#ifdef OPTIMIZER_DEBUG
|
|
|
|
static void
|
|
print_relids(Relids relids)
|
|
{
|
|
List *l;
|
|
|
|
foreach(l, relids)
|
|
{
|
|
printf("%d", lfirsti(l));
|
|
if (lnext(l))
|
|
printf(" ");
|
|
}
|
|
}
|
|
|
|
static void
|
|
print_restrictclauses(Query *root, List *clauses)
|
|
{
|
|
List *l;
|
|
|
|
foreach(l, clauses)
|
|
{
|
|
RestrictInfo *c = lfirst(l);
|
|
|
|
print_expr((Node *) c->clause, root->rtable);
|
|
if (lnext(l))
|
|
printf(", ");
|
|
}
|
|
}
|
|
|
|
static void
|
|
print_path(Query *root, Path *path, int indent)
|
|
{
|
|
const char *ptype;
|
|
bool join;
|
|
int i;
|
|
|
|
switch (nodeTag(path))
|
|
{
|
|
case T_Path:
|
|
ptype = "SeqScan";
|
|
join = false;
|
|
break;
|
|
case T_IndexPath:
|
|
ptype = "IdxScan";
|
|
join = false;
|
|
break;
|
|
case T_TidPath:
|
|
ptype = "TidScan";
|
|
join = false;
|
|
break;
|
|
case T_AppendPath:
|
|
ptype = "Append";
|
|
join = false;
|
|
break;
|
|
case T_ResultPath:
|
|
ptype = "Result";
|
|
join = false;
|
|
break;
|
|
case T_NestPath:
|
|
ptype = "Nestloop";
|
|
join = true;
|
|
break;
|
|
case T_MergePath:
|
|
ptype = "MergeJoin";
|
|
join = true;
|
|
break;
|
|
case T_HashPath:
|
|
ptype = "HashJoin";
|
|
join = true;
|
|
break;
|
|
default:
|
|
ptype = "???Path";
|
|
join = false;
|
|
break;
|
|
}
|
|
|
|
for (i = 0; i < indent; i++)
|
|
printf("\t");
|
|
printf("%s", ptype);
|
|
|
|
if (path->parent)
|
|
{
|
|
printf("(");
|
|
print_relids(path->parent->relids);
|
|
printf(") rows=%.0f", path->parent->rows);
|
|
}
|
|
printf(" cost=%.2f..%.2f\n", path->startup_cost, path->total_cost);
|
|
|
|
if (path->pathkeys)
|
|
{
|
|
for (i = 0; i < indent; i++)
|
|
printf("\t");
|
|
printf(" pathkeys: ");
|
|
print_pathkeys(path->pathkeys, root->rtable);
|
|
}
|
|
|
|
if (join)
|
|
{
|
|
JoinPath *jp = (JoinPath *) path;
|
|
|
|
for (i = 0; i < indent; i++)
|
|
printf("\t");
|
|
printf(" clauses: ");
|
|
print_restrictclauses(root, jp->joinrestrictinfo);
|
|
printf("\n");
|
|
|
|
if (IsA(path, MergePath))
|
|
{
|
|
MergePath *mp = (MergePath *) path;
|
|
|
|
if (mp->outersortkeys || mp->innersortkeys)
|
|
{
|
|
for (i = 0; i < indent; i++)
|
|
printf("\t");
|
|
printf(" sortouter=%d sortinner=%d\n",
|
|
((mp->outersortkeys) ? 1 : 0),
|
|
((mp->innersortkeys) ? 1 : 0));
|
|
}
|
|
}
|
|
|
|
print_path(root, jp->outerjoinpath, indent + 1);
|
|
print_path(root, jp->innerjoinpath, indent + 1);
|
|
}
|
|
}
|
|
|
|
void
|
|
debug_print_rel(Query *root, RelOptInfo *rel)
|
|
{
|
|
List *l;
|
|
|
|
printf("RELOPTINFO (");
|
|
print_relids(rel->relids);
|
|
printf("): rows=%.0f width=%d\n", rel->rows, rel->width);
|
|
|
|
if (rel->baserestrictinfo)
|
|
{
|
|
printf("\tbaserestrictinfo: ");
|
|
print_restrictclauses(root, rel->baserestrictinfo);
|
|
printf("\n");
|
|
}
|
|
|
|
foreach(l, rel->joininfo)
|
|
{
|
|
JoinInfo *j = (JoinInfo *) lfirst(l);
|
|
|
|
printf("\tjoininfo (");
|
|
print_relids(j->unjoined_relids);
|
|
printf("): ");
|
|
print_restrictclauses(root, j->jinfo_restrictinfo);
|
|
printf("\n");
|
|
}
|
|
|
|
printf("\tpath list:\n");
|
|
foreach(l, rel->pathlist)
|
|
print_path(root, lfirst(l), 1);
|
|
printf("\n\tcheapest startup path:\n");
|
|
print_path(root, rel->cheapest_startup_path, 1);
|
|
printf("\n\tcheapest total path:\n");
|
|
print_path(root, rel->cheapest_total_path, 1);
|
|
printf("\n");
|
|
fflush(stdout);
|
|
}
|
|
|
|
#endif /* OPTIMIZER_DEBUG */
|