/** * Copyright (C) 2013-2014 MongoDB Inc. * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU Affero General Public License, version 3, * as published by the Free Software Foundation. * * 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 * GNU Affero General Public License for more details. * * You should have received a copy of the GNU Affero General 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 GNU Affero General 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. */ #define MONGO_LOG_DEFAULT_COMPONENT ::mongo::logger::LogComponent::kQuery #include "mongo/platform/basic.h" #include "mongo/db/exec/subplan.h" #include #include #include "mongo/client/dbclientinterface.h" #include "mongo/db/exec/multi_plan.h" #include "mongo/db/exec/scoped_timer.h" #include "mongo/db/matcher/extensions_callback_real.h" #include "mongo/db/query/get_executor.h" #include "mongo/db/query/plan_executor.h" #include "mongo/db/query/planner_access.h" #include "mongo/db/query/planner_analysis.h" #include "mongo/db/query/query_planner.h" #include "mongo/db/query/query_planner_common.h" #include "mongo/db/query/stage_builder.h" #include "mongo/stdx/memory.h" #include "mongo/util/log.h" #include "mongo/util/scopeguard.h" #include "mongo/util/transitional_tools_do_not_use/vector_spooling.h" namespace mongo { using std::endl; using std::unique_ptr; using std::vector; using stdx::make_unique; const char* SubplanStage::kStageType = "SUBPLAN"; SubplanStage::SubplanStage(OperationContext* opCtx, Collection* collection, WorkingSet* ws, const QueryPlannerParams& params, CanonicalQuery* cq) : PlanStage(kStageType, opCtx), _collection(collection), _ws(ws), _plannerParams(params), _query(cq) { invariant(_collection); } namespace { /** * Returns true if 'expr' is an AND that contains a single OR child. */ bool isContainedOr(const MatchExpression* expr) { if (MatchExpression::AND != expr->matchType()) { return false; } size_t numOrs = 0; for (size_t i = 0; i < expr->numChildren(); ++i) { if (MatchExpression::OR == expr->getChild(i)->matchType()) { ++numOrs; } } return (numOrs == 1U); } } // namespace bool SubplanStage::canUseSubplanning(const CanonicalQuery& query) { const QueryRequest& qr = query.getQueryRequest(); const MatchExpression* expr = query.root(); // Hint provided if (!qr.getHint().isEmpty()) { return false; } // Min provided // Min queries are a special case of hinted queries. if (!qr.getMin().isEmpty()) { return false; } // Max provided // Similar to min, max queries are a special case of hinted queries. if (!qr.getMax().isEmpty()) { return false; } // Tailable cursors won't get cached, just turn into collscans. if (query.getQueryRequest().isTailable()) { return false; } // Snapshot is really a hint. if (query.getQueryRequest().isSnapshot()) { return false; } // TODO: For now we only allow rooted OR. We should consider also allowing contained OR that // does not have a TEXT or GEO_NEAR node. return MatchExpression::OR == expr->matchType(); } std::unique_ptr SubplanStage::rewriteToRootedOr( std::unique_ptr root) { dassert(isContainedOr(root.get())); // Detach the OR from the root. std::vector& rootChildren = *root->getChildVector(); std::unique_ptr orChild; for (size_t i = 0; i < rootChildren.size(); ++i) { if (MatchExpression::OR == rootChildren[i]->matchType()) { orChild.reset(rootChildren[i]); rootChildren.erase(rootChildren.begin() + i); break; } } // We should have found an OR, and the OR should have at least 2 children. invariant(orChild); invariant(orChild->getChildVector()); invariant(orChild->getChildVector()->size() > 1U); // AND the existing root with each OR child. std::vector& orChildren = *orChild->getChildVector(); for (size_t i = 0; i < orChildren.size(); ++i) { std::unique_ptr ama = stdx::make_unique(); ama->add(orChildren[i]); ama->add(root->shallowClone().release()); orChildren[i] = ama.release(); } // Normalize and sort the resulting match expression. orChild = std::unique_ptr(CanonicalQuery::normalizeTree(orChild.release())); CanonicalQuery::sortTree(orChild.get()); return orChild; } Status SubplanStage::planSubqueries() { _orExpression = _query->root()->shallowClone(); if (isContainedOr(_orExpression.get())) { _orExpression = rewriteToRootedOr(std::move(_orExpression)); invariant(CanonicalQuery::isValid(_orExpression.get(), _query->getQueryRequest()).isOK()); } for (size_t i = 0; i < _plannerParams.indices.size(); ++i) { const IndexEntry& ie = _plannerParams.indices[i]; _indexMap[ie.name] = i; LOG(5) << "Subplanner: index " << i << " is " << ie; } const ExtensionsCallbackReal extensionsCallback(getOpCtx(), &_collection->ns()); for (size_t i = 0; i < _orExpression->numChildren(); ++i) { // We need a place to shove the results from planning this branch. _branchResults.push_back(stdx::make_unique()); BranchPlanningResult* branchResult = _branchResults.back().get(); MatchExpression* orChild = _orExpression->getChild(i); // Turn the i-th child into its own query. auto statusWithCQ = CanonicalQuery::canonicalize(getOpCtx(), *_query, orChild, extensionsCallback); if (!statusWithCQ.isOK()) { mongoutils::str::stream ss; ss << "Can't canonicalize subchild " << orChild->toString() << " " << statusWithCQ.getStatus().reason(); return Status(ErrorCodes::BadValue, ss); } branchResult->canonicalQuery = std::move(statusWithCQ.getValue()); // Plan the i-th child. We might be able to find a plan for the i-th child in the plan // cache. If there's no cached plan, then we generate and rank plans using the MPS. CachedSolution* rawCS; if (PlanCache::shouldCacheQuery(*branchResult->canonicalQuery) && _collection->infoCache() ->getPlanCache() ->get(*branchResult->canonicalQuery, &rawCS) .isOK()) { // We have a CachedSolution. Store it for later. LOG(5) << "Subplanner: cached plan found for child " << i << " of " << _orExpression->numChildren(); branchResult->cachedSolution.reset(rawCS); } else { // No CachedSolution found. We'll have to plan from scratch. LOG(5) << "Subplanner: planning child " << i << " of " << _orExpression->numChildren(); // We don't set NO_TABLE_SCAN because peeking at the cache data will keep us from // considering any plan that's a collscan. invariant(branchResult->solutions.empty()); std::vector rawSolutions; Status status = QueryPlanner::plan(*branchResult->canonicalQuery, _plannerParams, &rawSolutions); branchResult->solutions = transitional_tools_do_not_use::spool_vector(rawSolutions); if (!status.isOK()) { mongoutils::str::stream ss; ss << "Can't plan for subchild " << branchResult->canonicalQuery->toString() << " " << status.reason(); return Status(ErrorCodes::BadValue, ss); } LOG(5) << "Subplanner: got " << branchResult->solutions.size() << " solutions"; if (0 == branchResult->solutions.size()) { // If one child doesn't have an indexed solution, bail out. mongoutils::str::stream ss; ss << "No solutions for subchild " << branchResult->canonicalQuery->toString(); return Status(ErrorCodes::BadValue, ss); } } } return Status::OK(); } namespace { /** * On success, applies the index tags from 'branchCacheData' (which represent the winning * plan for 'orChild') to 'compositeCacheData'. */ Status tagOrChildAccordingToCache(PlanCacheIndexTree* compositeCacheData, SolutionCacheData* branchCacheData, MatchExpression* orChild, const std::map& indexMap) { invariant(compositeCacheData); // We want a well-formed *indexed* solution. if (NULL == branchCacheData) { // For example, we don't cache things for 2d indices. mongoutils::str::stream ss; ss << "No cache data for subchild " << orChild->toString(); return Status(ErrorCodes::BadValue, ss); } if (SolutionCacheData::USE_INDEX_TAGS_SOLN != branchCacheData->solnType) { mongoutils::str::stream ss; ss << "No indexed cache data for subchild " << orChild->toString(); return Status(ErrorCodes::BadValue, ss); } // Add the index assignments to our original query. Status tagStatus = QueryPlanner::tagAccordingToCache(orChild, branchCacheData->tree.get(), indexMap); if (!tagStatus.isOK()) { mongoutils::str::stream ss; ss << "Failed to extract indices from subchild " << orChild->toString(); return Status(ErrorCodes::BadValue, ss); } // Add the child's cache data to the cache data we're creating for the main query. compositeCacheData->children.push_back(branchCacheData->tree->clone()); return Status::OK(); } } // namespace Status SubplanStage::choosePlanForSubqueries(PlanYieldPolicy* yieldPolicy) { // This is the skeleton of index selections that is inserted into the cache. std::unique_ptr cacheData(new PlanCacheIndexTree()); for (size_t i = 0; i < _orExpression->numChildren(); ++i) { MatchExpression* orChild = _orExpression->getChild(i); BranchPlanningResult* branchResult = _branchResults[i].get(); if (branchResult->cachedSolution.get()) { // We can get the index tags we need out of the cache. Status tagStatus = tagOrChildAccordingToCache( cacheData.get(), branchResult->cachedSolution->plannerData[0], orChild, _indexMap); if (!tagStatus.isOK()) { return tagStatus; } } else if (1 == branchResult->solutions.size()) { QuerySolution* soln = branchResult->solutions.front().get(); Status tagStatus = tagOrChildAccordingToCache( cacheData.get(), soln->cacheData.get(), orChild, _indexMap); if (!tagStatus.isOK()) { return tagStatus; } } else { // N solutions, rank them. // We already checked for zero solutions in planSubqueries(...). invariant(!branchResult->solutions.empty()); _ws->clear(); // We pass the SometimesCache option to the MPS because the SubplanStage currently does // not use the CachedPlanStage's eviction mechanism. We therefore are more conservative // about putting a potentially bad plan into the cache in the subplan path. // We temporarily add the MPS to _children to ensure that we pass down all // save/restore/invalidate messages that can be generated if pickBestPlan yields. invariant(_children.empty()); _children.emplace_back( stdx::make_unique(getOpCtx(), _collection, branchResult->canonicalQuery.get(), MultiPlanStage::CachingMode::SometimesCache)); ON_BLOCK_EXIT([&] { invariant(_children.size() == 1); // Make sure nothing else was added to _children. _children.pop_back(); }); MultiPlanStage* multiPlanStage = static_cast(child().get()); // Dump all the solutions into the MPS. for (size_t ix = 0; ix < branchResult->solutions.size(); ++ix) { PlanStage* nextPlanRoot; invariant(StageBuilder::build(getOpCtx(), _collection, *branchResult->canonicalQuery, *branchResult->solutions[ix], _ws, &nextPlanRoot)); // Takes ownership of solution with index 'ix' and 'nextPlanRoot'. multiPlanStage->addPlan(branchResult->solutions[ix].release(), nextPlanRoot, _ws); } Status planSelectStat = multiPlanStage->pickBestPlan(yieldPolicy); if (!planSelectStat.isOK()) { return planSelectStat; } if (!multiPlanStage->bestPlanChosen()) { mongoutils::str::stream ss; ss << "Failed to pick best plan for subchild " << branchResult->canonicalQuery->toString(); return Status(ErrorCodes::BadValue, ss); } QuerySolution* bestSoln = multiPlanStage->bestSolution(); // Check that we have good cache data. For example, we don't cache things // for 2d indices. if (NULL == bestSoln->cacheData.get()) { mongoutils::str::stream ss; ss << "No cache data for subchild " << orChild->toString(); return Status(ErrorCodes::BadValue, ss); } if (SolutionCacheData::USE_INDEX_TAGS_SOLN != bestSoln->cacheData->solnType) { mongoutils::str::stream ss; ss << "No indexed cache data for subchild " << orChild->toString(); return Status(ErrorCodes::BadValue, ss); } // Add the index assignments to our original query. Status tagStatus = QueryPlanner::tagAccordingToCache( orChild, bestSoln->cacheData->tree.get(), _indexMap); if (!tagStatus.isOK()) { mongoutils::str::stream ss; ss << "Failed to extract indices from subchild " << orChild->toString(); return Status(ErrorCodes::BadValue, ss); } cacheData->children.push_back(bestSoln->cacheData->tree->clone()); } } // Must do this before using the planner functionality. prepareForAccessPlanning(_orExpression.get()); // Use the cached index assignments to build solnRoot. Takes ownership of '_orExpression'. std::unique_ptr solnRoot(QueryPlannerAccess::buildIndexedDataAccess( *_query, _orExpression.release(), false, _plannerParams.indices, _plannerParams)); if (!solnRoot) { mongoutils::str::stream ss; ss << "Failed to build indexed data path for subplanned query\n"; return Status(ErrorCodes::BadValue, ss); } LOG(5) << "Subplanner: fully tagged tree is " << redact(solnRoot->toString()); // Takes ownership of 'solnRoot' _compositeSolution.reset( QueryPlannerAnalysis::analyzeDataAccess(*_query, _plannerParams, std::move(solnRoot))); if (NULL == _compositeSolution.get()) { mongoutils::str::stream ss; ss << "Failed to analyze subplanned query"; return Status(ErrorCodes::BadValue, ss); } LOG(5) << "Subplanner: Composite solution is " << redact(_compositeSolution->toString()); // Use the index tags from planning each branch to construct the composite solution, // and set that solution as our child stage. _ws->clear(); PlanStage* root; invariant(StageBuilder::build( getOpCtx(), _collection, *_query, *_compositeSolution.get(), _ws, &root)); invariant(_children.empty()); _children.emplace_back(root); return Status::OK(); } Status SubplanStage::choosePlanWholeQuery(PlanYieldPolicy* yieldPolicy) { // Clear out the working set. We'll start with a fresh working set. _ws->clear(); // Use the query planning module to plan the whole query. std::vector rawSolutions; Status status = QueryPlanner::plan(*_query, _plannerParams, &rawSolutions); std::vector> solutions = transitional_tools_do_not_use::spool_vector(rawSolutions); if (!status.isOK()) { return Status(ErrorCodes::BadValue, "error processing query: " + _query->toString() + " planner returned error: " + status.reason()); } // We cannot figure out how to answer the query. Perhaps it requires an index // we do not have? if (0 == solutions.size()) { return Status(ErrorCodes::BadValue, str::stream() << "error processing query: " << _query->toString() << " No query solutions"); } if (1 == solutions.size()) { PlanStage* root; // Only one possible plan. Run it. Build the stages from the solution. verify(StageBuilder::build(getOpCtx(), _collection, *_query, *solutions[0], _ws, &root)); invariant(_children.empty()); _children.emplace_back(root); // This SubplanStage takes ownership of the query solution. _compositeSolution = std::move(solutions.back()); solutions.pop_back(); return Status::OK(); } else { // Many solutions. Create a MultiPlanStage to pick the best, update the cache, // and so on. The working set will be shared by all candidate plans. invariant(_children.empty()); _children.emplace_back(new MultiPlanStage(getOpCtx(), _collection, _query)); MultiPlanStage* multiPlanStage = static_cast(child().get()); for (size_t ix = 0; ix < solutions.size(); ++ix) { if (solutions[ix]->cacheData.get()) { solutions[ix]->cacheData->indexFilterApplied = _plannerParams.indexFiltersApplied; } // version of StageBuild::build when WorkingSet is shared PlanStage* nextPlanRoot; verify(StageBuilder::build( getOpCtx(), _collection, *_query, *solutions[ix], _ws, &nextPlanRoot)); // Takes ownership of 'solutions[ix]' and 'nextPlanRoot'. multiPlanStage->addPlan(solutions[ix].release(), nextPlanRoot, _ws); } // Delegate the the MultiPlanStage's plan selection facility. Status planSelectStat = multiPlanStage->pickBestPlan(yieldPolicy); if (!planSelectStat.isOK()) { return planSelectStat; } return Status::OK(); } } Status SubplanStage::pickBestPlan(PlanYieldPolicy* yieldPolicy) { // Adds the amount of time taken by pickBestPlan() to executionTimeMillis. There's lots of // work that happens here, so this is needed for the time accounting to make sense. ScopedTimer timer(getClock(), &_commonStats.executionTimeMillis); // Plan each branch of the $or. Status subplanningStatus = planSubqueries(); if (!subplanningStatus.isOK()) { if (subplanningStatus == ErrorCodes::QueryPlanKilled) { // Query planning cannot continue if the plan for one of the subqueries was killed // because the collection or a candidate index may have been dropped. return subplanningStatus; } return choosePlanWholeQuery(yieldPolicy); } // Use the multi plan stage to select a winning plan for each branch, and then construct // the overall winning plan from the resulting index tags. Status subplanSelectStat = choosePlanForSubqueries(yieldPolicy); if (!subplanSelectStat.isOK()) { if (subplanSelectStat == ErrorCodes::QueryPlanKilled) { // Query planning cannot continue if the plan was killed because the collection or a // candidate index may have been dropped. return subplanSelectStat; } return choosePlanWholeQuery(yieldPolicy); } return Status::OK(); } bool SubplanStage::isEOF() { // If we're running we best have a runner. invariant(child()); return child()->isEOF(); } PlanStage::StageState SubplanStage::doWork(WorkingSetID* out) { if (isEOF()) { return PlanStage::IS_EOF; } invariant(child()); return child()->work(out); } unique_ptr SubplanStage::getStats() { _commonStats.isEOF = isEOF(); unique_ptr ret = make_unique(_commonStats, STAGE_SUBPLAN); ret->children.emplace_back(child()->getStats()); return ret; } bool SubplanStage::branchPlannedFromCache(size_t i) const { return NULL != _branchResults[i]->cachedSolution.get(); } const SpecificStats* SubplanStage::getSpecificStats() const { return NULL; } } // namespace mongo