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https://github.com/ClickHouse/ClickHouse.git
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Normal Projections analysis using query plan [In progress]
This commit is contained in:
Nikolai Kochetov
parent
e6e486c4a1
commit
522a39f93f
@ -93,7 +93,8 @@ using Stack = std::vector<Frame>;
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void optimizePrimaryKeyCondition(const Stack & stack);
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void optimizeReadInOrder(QueryPlan::Node & node, QueryPlan::Nodes & nodes);
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void optimizeAggregationInOrder(QueryPlan::Node & node, QueryPlan::Nodes &);
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bool optimizeUseProjections(QueryPlan::Node & node, QueryPlan::Nodes &);
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bool optimizeUseAggProjections(QueryPlan::Node & node, QueryPlan::Nodes & nodes);
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bool optimizeUseNormalProjections(Stack & stack, QueryPlan::Nodes & nodes);
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/// Enable memory bound merging of aggregation states for remote queries
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/// in case it was enabled for local plan
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@ -122,7 +122,7 @@ void optimizeTreeSecondPass(const QueryPlanOptimizationSettings & optimization_s
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optimizeReadInOrder(*frame.node, nodes);
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if (optimization_settings.optimize_projection)
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applied_projection |= optimizeUseProjections(*frame.node, nodes);
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applied_projection |= optimizeUseAggProjections(*frame.node, nodes);
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if (optimization_settings.aggregation_in_order)
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optimizeAggregationInOrder(*frame.node, nodes);
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@ -140,6 +140,14 @@ void optimizeTreeSecondPass(const QueryPlanOptimizationSettings & optimization_s
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continue;
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}
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if (optimization_settings.optimize_projection)
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{
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bool applied = optimizeUseNormalProjections(stack, nodes);
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applied_projection |= applied;
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if (applied && stack.back().next_child == 0)
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continue;
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}
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optimizePrimaryKeyCondition(stack);
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enableMemoryBoundMerging(*frame.node, nodes);
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@ -12,6 +12,7 @@
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#include <Storages/MergeTree/MergeTreeDataSelectExecutor.h>
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#include <Storages/StorageReplicatedMergeTree.h>
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#include <Common/logger_useful.h>
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#include <Processors/QueryPlan/UnionStep.h>
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#include <AggregateFunctions/AggregateFunctionCount.h>
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#include <Processors/QueryPlan/ReadFromPreparedSource.h>
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#include <Processors/Sources/NullSource.h>
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@ -167,6 +168,16 @@ struct AggregateProjectionCandidate
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size_t sum_marks = 0;
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};
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struct NormalProjectionCandidate
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{
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const ProjectionDescription * projection;
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MergeTreeDataSelectAnalysisResultPtr merge_tree_projection_select_result_ptr;
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MergeTreeDataSelectAnalysisResultPtr merge_tree_normal_select_result_ptr;
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size_t sum_marks = 0;
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};
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ActionsDAGPtr analyzeAggregateProjection(
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const AggregateProjectionInfo & info,
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ActionsDAG & query_dag,
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@ -430,7 +441,7 @@ ActionsDAGPtr analyzeAggregateProjection(
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return proj_dag;
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}
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bool optimizeUseProjections(QueryPlan::Node & node, QueryPlan::Nodes & nodes)
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bool optimizeUseAggProjections(QueryPlan::Node & node, QueryPlan::Nodes & nodes)
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{
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if (node.children.size() != 1)
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return false;
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@ -724,4 +735,226 @@ bool optimizeUseProjections(QueryPlan::Node & node, QueryPlan::Nodes & nodes)
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return true;
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}
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bool optimizeUseNormalProjections(Stack & stack, QueryPlan::Nodes & nodes)
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{
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const auto & frame = stack.back();
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auto * reading = typeid_cast<ReadFromMergeTree *>(frame.node->step.get());
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if (!reading)
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return false;
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auto iter = stack.rbegin();
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while (iter != stack.rend())
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{
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auto next = std::next(iter);
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if (!typeid_cast<FilterStep *>(next->node->step.get()) &&
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!typeid_cast<ExpressionStep *>(next->node->step.get()))
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break;
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iter = next;
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}
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if (iter == stack.rbegin())
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return false;
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const auto metadata = reading->getStorageMetadata();
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const auto & projections = metadata->projections;
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std::vector<const ProjectionDescription *> normal_projections;
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for (const auto & projection : projections)
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if (projection.type == ProjectionDescription::Type::Normal)
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normal_projections.push_back(&projection);
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if (normal_projections.empty())
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return false;
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ActionsDAGPtr dag;
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ActionsDAG::NodeRawConstPtrs filter_nodes;
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if (!buildAggregatingDAG(*iter->node->children.front(), dag, filter_nodes))
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return false;
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LOG_TRACE(&Poco::Logger::get("optimizeUseProjections"), "Query DAG: {}", dag->dumpDAG());
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const ActionsDAG::Node * filter_node = nullptr;
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if (!filter_nodes.empty())
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{
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filter_node = filter_nodes.front();
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if (filter_nodes.size() > 1)
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{
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FunctionOverloadResolverPtr func_builder_and =
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std::make_unique<FunctionToOverloadResolverAdaptor>(
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std::make_shared<FunctionAnd>());
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filter_node = &dag->addFunction(func_builder_and, std::move(filter_nodes), {});
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}
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dag->getOutputs().push_back(filter_node);
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}
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std::list<NormalProjectionCandidate> candidates;
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NormalProjectionCandidate * best_candidate = nullptr;
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const Block & header = frame.node->step->getOutputStream().header;
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const Names & required_columns = reading->getRealColumnNames();
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const auto & parts = reading->getParts();
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const auto & query_info = reading->getQueryInfo();
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ContextPtr context = reading->getContext();
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MergeTreeDataSelectExecutor reader(reading->getMergeTreeData());
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std::shared_ptr<PartitionIdToMaxBlock> max_added_blocks;
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if (context->getSettingsRef().select_sequential_consistency)
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{
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if (const StorageReplicatedMergeTree * replicated = dynamic_cast<const StorageReplicatedMergeTree *>(&reading->getMergeTreeData()))
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max_added_blocks = std::make_shared<PartitionIdToMaxBlock>(replicated->getMaxAddedBlocks());
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}
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for (const auto * projection : normal_projections)
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{
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bool has_all_columns = true;
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for (const auto & col : required_columns)
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{
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if (!projection->sample_block.has(col))
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{
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has_all_columns = false;
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break;
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}
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}
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if (!has_all_columns)
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continue;
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MergeTreeData::DataPartsVector projection_parts;
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MergeTreeData::DataPartsVector normal_parts;
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for (const auto & part : parts)
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{
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const auto & created_projections = part->getProjectionParts();
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auto it = created_projections.find(projection->name);
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if (it != created_projections.end())
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projection_parts.push_back(it->second);
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else
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normal_parts.push_back(part);
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}
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if (projection_parts.empty())
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continue;
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ActionDAGNodes added_filter_nodes;
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if (filter_node)
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added_filter_nodes.nodes.push_back(filter_node);
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auto projection_result_ptr = reader.estimateNumMarksToRead(
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std::move(projection_parts),
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nullptr,
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header.getNames(),
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metadata,
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projection->metadata,
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query_info, /// How it is actually used? I hope that for index we need only added_filter_nodes
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added_filter_nodes,
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context,
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context->getSettingsRef().max_threads,
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max_added_blocks);
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if (projection_result_ptr->error())
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continue;
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auto & candidate = candidates.emplace_back();
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candidate.merge_tree_projection_select_result_ptr = std::move(projection_result_ptr);
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candidate.sum_marks += candidate.merge_tree_projection_select_result_ptr->marks();
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if (!normal_parts.empty())
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{
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auto normal_result_ptr = reading->selectRangesToRead(std::move(normal_parts));
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if (normal_result_ptr->error())
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continue;
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if (normal_result_ptr->marks() != 0)
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{
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candidate.sum_marks += normal_result_ptr->marks();
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candidate.merge_tree_normal_select_result_ptr = std::move(normal_result_ptr);
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}
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}
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if (best_candidate == nullptr || best_candidate->sum_marks > candidate.sum_marks)
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best_candidate = &candidate;
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}
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if (!best_candidate)
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return false;
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auto storage_snapshot = reading->getStorageSnapshot();
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auto proj_snapshot = std::make_shared<StorageSnapshot>(
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storage_snapshot->storage, storage_snapshot->metadata, storage_snapshot->object_columns); //, storage_snapshot->data);
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proj_snapshot->addProjection(best_candidate->projection);
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LOG_TRACE(&Poco::Logger::get("optimizeUseProjections"), "Proj snapshot {}", proj_snapshot->getColumns(GetColumnsOptions::Kind::All).toString());
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auto projection_reading = reader.readFromParts(
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{},
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header.getNames(),
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proj_snapshot,
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query_info,
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context,
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reading->getMaxBlockSize(),
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reading->getNumStreams(),
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max_added_blocks,
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best_candidate->merge_tree_projection_select_result_ptr,
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reading->isParallelReadingEnabled());
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if (!projection_reading)
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{
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Pipe pipe(std::make_shared<NullSource>(proj_snapshot->getSampleBlockForColumns(header.getNames())));
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projection_reading = std::make_unique<ReadFromPreparedSource>(std::move(pipe));
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}
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bool has_nornal_parts = best_candidate->merge_tree_normal_select_result_ptr != nullptr;
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if (has_nornal_parts)
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reading->setAnalyzedResult(std::move(best_candidate->merge_tree_normal_select_result_ptr));
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LOG_TRACE(&Poco::Logger::get("optimizeUseProjections"), "Projection reading header {}", projection_reading->getOutputStream().header.dumpStructure());
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projection_reading->setStepDescription(best_candidate->projection->name);
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auto & projection_reading_node = nodes.emplace_back(QueryPlan::Node{.step = std::move(projection_reading)});
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auto & expr_or_filter_node = nodes.emplace_back();
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if (filter_node)
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{
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expr_or_filter_node.step = std::make_unique<FilterStep>(
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projection_reading_node.step->getOutputStream(),
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dag,
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dag->getOutputs().front()->result_name,
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true);
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}
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else
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expr_or_filter_node.step = std::make_unique<ExpressionStep>(
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projection_reading_node.step->getOutputStream(),
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dag);
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expr_or_filter_node.children.push_back(&projection_reading_node);
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if (!has_nornal_parts)
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{
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/// All parts are taken from projection
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iter->node->children.front() = &expr_or_filter_node;
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//optimizeAggregationInOrder(node, nodes);
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}
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else
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{
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auto & union_node = nodes.emplace_back();
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DataStreams input_streams = {iter->node->children.front()->step->getOutputStream(), expr_or_filter_node.step->getOutputStream()};
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union_node.step = std::make_unique<UnionStep>(std::move(input_streams));
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union_node.children = {iter->node->children.front(), &expr_or_filter_node};
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iter->node->children.front() = &union_node;
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iter->next_child = 0;
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stack.resize(iter.base() - stack.begin() + 1);
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}
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return true;
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}
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}
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