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/**
* 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
* <http://www.mongodb.com/licensing/server-side-public-license>.
*
* 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/platform/atomic_proxy.h"
#include "mongo/platform/atomic_word.h"
namespace mongo {
//
// multi-plan ranking
//
// Max number of times we call work() on plans before comparing them,
// for small collections.
extern AtomicInt32 internalQueryPlanEvaluationWorks;
// For large collections, the number times we work() candidate plans is
// taken as this fraction of the collection size.
extern AtomicDouble internalQueryPlanEvaluationCollFraction;
// Stop working plans once a plan returns this many results.
extern AtomicInt32 internalQueryPlanEvaluationMaxResults;
// Do we give a big ranking bonus to intersection plans?
extern AtomicBool internalQueryForceIntersectionPlans;
// Do we have ixisect on at all?
extern AtomicBool internalQueryPlannerEnableIndexIntersection;
// Do we use hash-based intersection for rooted $and queries?
extern AtomicBool internalQueryPlannerEnableHashIntersection;
//
// plan cache
//
// How many entries in the cache?
extern AtomicInt32 internalQueryCacheSize;
// How many feedback entries do we collect before possibly evicting from the cache based on bad
// performance?
extern AtomicInt32 internalQueryCacheFeedbacksStored;
// How many times more works must we perform in order to justify plan cache eviction
// and replanning?
extern AtomicDouble internalQueryCacheEvictionRatio;
//
// Planning and enumeration.
//
// How many indexed solutions will QueryPlanner::plan output?
extern AtomicInt32 internalQueryPlannerMaxIndexedSolutions;
// If set to true, instructs the plan enumerator to enumerate contained $ors in a special order. $or
// enumeration can generate an exponential number of plans, and is therefore limited at some
// arbitrary cutoff controlled by a parameter. When this limit is hit, the order of enumeration is
// important. For example, a query like the following has a 'contained $or' (within an $and): {a: 1,
// $or: [{b: 1, c: 1}, {b: 2, c: 2}]} For this query if there are indexes a_b={a: 1, b: 1} and
// a_c={a: 1, c: 1}, the normal enumeration order would output assignments [a_b, a_b], [a_c, a_b],
// [a_b, a_c], then [a_c, a_c]. This flag will instruct the enumerator to instead prefer a different
// order. It's hard to summarize, but perhaps the phrases 'lockstep enumeration', 'simultaneous
// advancement', or 'parallel iteration' will help the reader. The effect is to give earlier
// enumeration to plans which use the same choice across all branches. In this order, we would get
// assignments [a_b, a_b], [a_c, a_c], [a_c, a_b], then [a_b, a_c]. This is thought to be helpful in
// general, but particularly in cases where all children of the $or use the same fields and have the
// same indexes available, as in this example.
extern AtomicBool internalQueryEnumerationPreferLockstepOrEnumeration;
// How many solutions will the enumerator consider at each OR?
extern AtomicInt32 internalQueryEnumerationMaxOrSolutions;
// How many intersections will the enumerator consider at each AND?
extern AtomicInt32 internalQueryEnumerationMaxIntersectPerAnd;
// Do we want to plan each child of the OR independently?
extern AtomicBool internalQueryPlanOrChildrenIndependently;
// How many index scans are we willing to produce in order to obtain a sort order
// during explodeForSort?
extern AtomicInt32 internalQueryMaxScansToExplode;
// Allow the planner to generate covered whole index scans, rather than falling back to a COLLSCAN.
extern AtomicBool internalQueryPlannerGenerateCoveredWholeIndexScans;
// Ignore unknown JSON Schema keywords.
extern AtomicBool internalQueryIgnoreUnknownJSONSchemaKeywords;
//
// Query execution.
//
extern AtomicInt32 internalQueryExecMaxBlockingSortBytes;
// Yield after this many "should yield?" checks.
extern AtomicInt32 internalQueryExecYieldIterations;
// Yield if it's been at least this many milliseconds since we last yielded.
extern AtomicInt32 internalQueryExecYieldPeriodMS;
// Limit the size that we write without yielding to 16MB / 64 (max expected number of indexes)
const int64_t insertVectorMaxBytes = 256 * 1024;
// The number of bytes to buffer at once during a $facet stage.
extern AtomicInt32 internalQueryFacetBufferSizeBytes;
// The maximum size in bytes of the $facet stage's output document.
extern AtomicInt64 internalQueryFacetMaxOutputDocSizeBytes;
extern AtomicInt64 internalLookupStageIntermediateDocumentMaxSizeBytes;
extern AtomicInt32 internalInsertMaxBatchSize;
extern AtomicInt32 internalDocumentSourceCursorBatchSizeBytes;
extern AtomicInt32 internalDocumentSourceLookupCacheSizeBytes;
extern AtomicBool internalQueryProhibitBlockingMergeOnMongoS;
extern AtomicInt32 internalQueryMaxPushBytes;
extern AtomicInt32 internalQueryMaxAddToSetBytes;
} // namespace mongo
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