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284 lines
12 KiB
C++
284 lines
12 KiB
C++
/* queryoptimizer.h */
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/**
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* Copyright (C) 2008 10gen Inc.
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Affero General Public License, version 3,
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* as published by the Free Software Foundation.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Affero General Public License for more details.
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*
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* You should have received a copy of the GNU Affero General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#pragma once
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#include "cursor.h"
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#include "jsobj.h"
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#include "queryutil.h"
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namespace mongo {
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class IndexDetails;
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class IndexType;
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class QueryPlan : boost::noncopyable {
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public:
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QueryPlan(NamespaceDetails *_d,
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int _idxNo, // -1 = no index
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const FieldRangeSet &fbs,
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const BSONObj &order,
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const BSONObj &startKey = BSONObj(),
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const BSONObj &endKey = BSONObj() ,
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string special="" );
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/* If true, no other index can do better. */
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bool optimal() const { return optimal_; }
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/* ScanAndOrder processing will be required if true */
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bool scanAndOrderRequired() const { return scanAndOrderRequired_; }
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/* When true, the index we are using has keys such that it can completely resolve the
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query expression to match by itself without ever checking the main object.
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*/
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bool exactKeyMatch() const { return exactKeyMatch_; }
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/* If true, the startKey and endKey are unhelpful and the index order doesn't match the
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requested sort order */
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bool unhelpful() const { return unhelpful_; }
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int direction() const { return direction_; }
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shared_ptr<Cursor> newCursor( const DiskLoc &startLoc = DiskLoc() , int numWanted=0 ) const;
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shared_ptr<Cursor> newReverseCursor() const;
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BSONObj indexKey() const;
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const char *ns() const { return fbs_.ns(); }
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NamespaceDetails *nsd() const { return d; }
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BSONObj query() const { return fbs_.query(); }
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BSONObj simplifiedQuery( const BSONObj& fields = BSONObj() ) const { return fbs_.simplifiedQuery( fields ); }
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const FieldRange &range( const char *fieldName ) const { return fbs_.range( fieldName ); }
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void registerSelf( long long nScanned ) const;
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// just for testing
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BoundList indexBounds() const { return indexBounds_; }
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private:
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NamespaceDetails *d;
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int idxNo;
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const FieldRangeSet &fbs_;
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const BSONObj &order_;
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const IndexDetails *index_;
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bool optimal_;
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bool scanAndOrderRequired_;
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bool exactKeyMatch_;
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int direction_;
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BoundList indexBounds_;
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bool endKeyInclusive_;
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bool unhelpful_;
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string _special;
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IndexType * _type;
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};
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// Inherit from this interface to implement a new query operation.
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// The query optimizer will clone the QueryOp that is provided, giving
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// each clone its own query plan.
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class QueryOp {
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public:
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QueryOp() : _complete(), _stopRequested(), _qp(), _error() {}
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virtual ~QueryOp() {}
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/** this gets called after a query plan is set? ERH 2/16/10 */
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virtual void init() = 0;
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virtual void next() = 0;
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virtual bool mayRecordPlan() const = 0;
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/** @return a copy of the inheriting class, which will be run with its own
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query plan. If multiple plan sets are required for an $or query,
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the QueryOp of the winning plan from a given set will be cloned
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to generate QueryOps for the subsequent plan set.
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*/
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virtual QueryOp *clone() const = 0;
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bool complete() const { return _complete; }
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bool error() const { return _error; }
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string exceptionMessage() const { return _exceptionMessage; }
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const QueryPlan &qp() const { return *_qp; }
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// To be called by QueryPlanSet::Runner only.
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void setQueryPlan( const QueryPlan *qp ) { _qp = qp; }
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void setExceptionMessage( const string &exceptionMessage ) {
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_error = true;
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_exceptionMessage = exceptionMessage;
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}
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protected:
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void setComplete() { _complete = true; }
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void setStop() { setComplete(); _stopRequested = true; }
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private:
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bool _complete;
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bool _stopRequested;
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string _exceptionMessage;
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const QueryPlan *_qp;
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bool _error;
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};
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// Set of candidate query plans for a particular query. Used for running
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// a QueryOp on these plans.
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class QueryPlanSet {
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public:
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typedef boost::shared_ptr< QueryPlan > PlanPtr;
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typedef vector< PlanPtr > PlanSet;
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QueryPlanSet( const char *ns,
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const BSONObj &query,
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const BSONObj &order,
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const BSONElement *hint = 0,
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bool honorRecordedPlan = true,
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const BSONObj &min = BSONObj(),
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const BSONObj &max = BSONObj() );
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int nPlans() const { return plans_.size(); }
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shared_ptr< QueryOp > runOp( QueryOp &op );
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template< class T >
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shared_ptr< T > runOp( T &op ) {
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return dynamic_pointer_cast< T >( runOp( static_cast< QueryOp& >( op ) ) );
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}
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BSONObj explain() const;
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bool usingPrerecordedPlan() const { return usingPrerecordedPlan_; }
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PlanPtr getBestGuess() const;
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//for testing
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const FieldRangeSet &fbs() const { return fbs_; }
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private:
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void addOtherPlans( bool checkFirst );
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void addPlan( PlanPtr plan, bool checkFirst ) {
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if ( checkFirst && plan->indexKey().woCompare( plans_[ 0 ]->indexKey() ) == 0 )
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return;
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plans_.push_back( plan );
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}
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void init();
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void addHint( IndexDetails &id );
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struct Runner {
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Runner( QueryPlanSet &plans, QueryOp &op );
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shared_ptr< QueryOp > run();
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QueryOp &op_;
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QueryPlanSet &plans_;
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static void initOp( QueryOp &op );
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static void nextOp( QueryOp &op );
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};
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const char *ns;
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BSONObj query_;
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FieldRangeSet fbs_;
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PlanSet plans_;
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bool mayRecordPlan_;
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bool usingPrerecordedPlan_;
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BSONObj hint_;
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BSONObj order_;
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long long oldNScanned_;
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bool honorRecordedPlan_;
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BSONObj min_;
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BSONObj max_;
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string _special;
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};
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// Handles $or type queries by generating a QueryPlanSet for each $or clause
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// NOTE on our $or implementation: In our current qo implementation we don't
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// keep statistics on our data, but we can conceptualize the problem of
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// selecting an index when statistics exist for all index ranges. The
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// d-hitting set problem on k sets and n elements can be reduced to the
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// problem of index selection on k $or clauses and n index ranges (where
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// d is the max number of indexes, and the number of ranges n is unbounded).
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// In light of the fact that d-hitting set is np complete, and we don't even
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// track statistics (so cost calculations are expensive) our first
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// implementation uses the following greedy approach: We take one $or clause
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// at a time and treat each as a separate query for index selection purposes.
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// But if an index range is scanned for a particular $or clause, we eliminate
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// that range from all subsequent clauses. One could imagine an opposite
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// implementation where we select indexes based on the union of index ranges
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// for all $or clauses, but this can have much poorer worst case behavior.
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// (An index range that suits one $or clause may not suit another, and this
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// is worse than the typical case of index range choice staleness because
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// with $or the clauses may likely be logically distinct.) The greedy
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// implementation won't do any worse than all the $or clauses individually,
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// and it can often do better. In the first cut we are intentionally using
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// QueryPattern tracking to record successful plans on $or queries for use by
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// subsequent $or queries, even though there may be a significant aggregate
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// $nor component that would not be represented in QueryPattern.
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class MultiPlanScanner {
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public:
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MultiPlanScanner( const char *ns,
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const BSONObj &query,
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const BSONObj &order,
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const BSONElement *hint = 0,
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bool honorRecordedPlan = true,
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const BSONObj &min = BSONObj(),
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const BSONObj &max = BSONObj() );
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shared_ptr< QueryOp > runOp( QueryOp &op );
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template< class T >
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shared_ptr< T > runOp( T &op ) {
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return dynamic_pointer_cast< T >( runOp( static_cast< QueryOp& >( op ) ) );
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}
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shared_ptr< QueryOp > runOpOnce( QueryOp &op );
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template< class T >
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shared_ptr< T > runOpOnce( T &op ) {
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return dynamic_pointer_cast< T >( runOpOnce( static_cast< QueryOp& >( op ) ) );
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}
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bool mayRunMore() const { return _i < _n; }
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BSONObj explain() const { assertNotOr(); return _currentQps->explain(); }
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bool usingPrerecordedPlan() const { assertNotOr(); return _currentQps->usingPrerecordedPlan(); }
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QueryPlanSet::PlanPtr getBestGuess() const { assertNotOr(); return _currentQps->getBestGuess(); }
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private:
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//temp
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void assertNotOr() const {
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massert( 13266, "not implemented for $or query", !_or );
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}
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// temp (and yucky)
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BSONObj nextSimpleQuery() {
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massert( 13267, "only generate simple query if $or", _or );
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massert( 13270, "no more simple queries", mayRunMore() );
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BSONObjBuilder b;
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BSONArrayBuilder norb;
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BSONObjIterator i( _query );
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while( i.more() ) {
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BSONElement e = i.next();
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if ( strcmp( e.fieldName(), "$nor" ) == 0 ) {
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massert( 13269, "$nor must be array", e.type() == Array );
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BSONObjIterator j( e.embeddedObject() );
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while( j.more() ) {
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norb << j.next();
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}
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} else if ( strcmp( e.fieldName(), "$or" ) == 0 ) {
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BSONObjIterator j( e.embeddedObject() );
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for( int k = 0; k < _i; ++k ) {
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norb << j.next();
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}
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b << "$or" << BSON_ARRAY( j.next() );
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} else {
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b.append( e );
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}
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}
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BSONArray nor = norb.arr();
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if ( !nor.isEmpty() ) {
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b << "$nor" << nor;
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}
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++_i;
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BSONObj ret = b.obj();
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log() << "next simple: " << ret << endl;
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return ret;
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}
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const char * _ns;
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bool _or;
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BSONObj _query;
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// FieldRangeOrSet _fros;
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auto_ptr< QueryPlanSet > _currentQps;
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int _i;
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int _n;
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};
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// NOTE min, max, and keyPattern will be updated to be consistent with the selected index.
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IndexDetails *indexDetailsForRange( const char *ns, string &errmsg, BSONObj &min, BSONObj &max, BSONObj &keyPattern );
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inline bool isSimpleIdQuery( const BSONObj& query ){
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return
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strcmp( query.firstElement().fieldName() , "_id" ) == 0 &&
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query.nFields() == 1 &&
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query.firstElement().isSimpleType();
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}
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} // namespace mongo
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