/** * Copyright (C) 2018-present MongoDB, Inc. * * This program is free software: you can redistribute it and/or modify * it under the terms of the Server Side Public License, version 1, * as published by MongoDB, Inc. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * Server Side Public License for more details. * * You should have received a copy of the Server Side Public License * along with this program. If not, see * . * * As a special exception, the copyright holders give permission to link the * code of portions of this program with the OpenSSL library under certain * conditions as described in each individual source file and distribute * linked combinations including the program with the OpenSSL library. You * must comply with the Server Side Public License in all respects for * all of the code used other than as permitted herein. If you modify file(s) * with this exception, you may extend this exception to your version of the * file(s), but you are not obligated to do so. If you do not wish to do so, * delete this exception statement from your version. If you delete this * exception statement from all source files in the program, then also delete * it in the license file. */ #pragma once #include "mongo/db/query/canonical_query.h" #include "mongo/db/query/query_planner.h" #include "mongo/db/query/query_planner_params.h" #include "mongo/db/query/query_solution.h" namespace mongo { class Collection; class CollectionPtr; class QueryPlannerAnalysis { public: /** * Checks solution nodes for geo match expressions to apply an optimization. * * If a geo match expression is on a field with a corresponding 2dsphere index we can * skip expensive validation of geometries in the matcher, since those geometries were * validated when they were indexed. */ static void analyzeGeo(const QueryPlannerParams& params, QuerySolutionNode* solnRoot); /** * Takes an index key pattern and returns an object describing the "maximal sort" that this * index can provide. Returned object is in normalized sort form (all elements have value 1 * or -1). * * Examples: * - {a: 1, b: -1} => {a: 1, b: -1} * - {a: true} => {a: 1} * - {a: "hashed"} => {} * - {a: 1, b: "text", c: 1} => {a: 1} */ static BSONObj getSortPattern(const BSONObj& indexKeyPattern); /** * In brief: performs sort and covering analysis. * * The solution rooted at 'solnRoot' provides data for the query, whether through some * configuration of indices or through a collection scan. Additional stages may be required to * perform sorting, projection, or other operations that are independent of the source of the * data. These stages are added atop 'solnRoot'. * * Returns a null pointer if a solution cannot be constructed given the requirements in * 'params'. */ static std::unique_ptr analyzeDataAccess( const CanonicalQuery& query, const QueryPlannerParams& params, std::unique_ptr solnRoot); /** * Sort the results, if there is a sort required. * * The mandatory output parameters 'blockingSortOut' and 'explodeForSortOut' indicate if the * generated sub-plan contains a blocking QSN, such as 'SortNode', and if the sub-plan was * "exploded" to obtain an indexed sort (see QueryPlannerAnalysis::explodeForSort()). */ static std::unique_ptr analyzeSort( const CanonicalQuery& query, const QueryPlannerParams& params, std::unique_ptr solnRoot, bool* blockingSortOut, bool* explodeForSortOut); /** * Internal helper function used by analyzeSort. * * Rewrites an index scan over many point intervals as an OR of many index scans in order to * obtain an indexed sort. For full details, see SERVER-1205. * * Here is an example: * * Consider the query find({a: {$in: [1,2]}}).sort({b: 1}) with using the index {a:1, b:1}. * * Our default solution will be to construct one index scan with the bounds a:[[1,1],[2,2]] * and b: [MinKey, MaxKey]. * * However, this is logically equivalent to the union of the following scans: * a:[1,1], b:[MinKey, MaxKey] * a:[2,2], b:[MinKey, MaxKey] * * Since the bounds on 'a' are a point, each scan provides the sort order {b:1} in addition * to {a:1, b:1}. * * If we union these scans with a merge sort instead of a normal hashing OR, we can preserve * the sort order that each scan provides. */ static bool explodeForSort(const CanonicalQuery& query, const QueryPlannerParams& params, std::unique_ptr* solnRoot); /** * Walks the QuerySolutionNode tree rooted in 'soln', and looks for a ProjectionNodeSimple that * is a child of GroupNode, and has a dependency set that's a super set of the the dependency * set of the GroupNode. If that condition is met the ProjectionNodeSimple is redundant and can * thus be elimiated to improve performance of the plan. Otherwise, this is a noop. */ static std::unique_ptr removeInclusionProjectionBelowGroup( std::unique_ptr soln); /** * For the provided 'foreignCollName' and 'foreignFieldName' corresponding to an EqLookupNode, * returns what join algorithm should be used to execute it. In particular: * - An empty array is produced for each document if the foreign collection does not exist. * - An indexed nested loop join is chosen if an index on the foreign collection can be used to * answer the join predicate. Also returns which index on the foreign collection should be * used to answer the predicate. * - A hash join is chosen if disk use is allowed and if the foreign collection is sufficiently * small. * - A nested loop join is chosen in all other cases. */ static std::pair> determineLookupStrategy( const std::string& foreignCollName, const std::string& foreignField, const std::map& collectionsInfo, bool allowDiskUse, const CollatorInterface* collator); /** * Checks if the foreign collection is eligible for the hash join algorithm. We conservatively * choose the hash join algorithm for cases when the hash table is unlikely to spill to disk. */ static bool isEligibleForHashJoin(const SecondaryCollectionInfo& foreignCollInfo); }; } // namespace mongo