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Use ActionsDAG to rewrite projection queries
This commit is contained in:
parent
bf95b684a7
commit
35961c0c5d
@ -439,6 +439,87 @@ void ActionsDAG::removeUnusedActions(bool allow_remove_inputs)
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inputs.erase(it, inputs.end());
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}
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NameSet ActionsDAG::foldActionsByProjection(
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const NameSet & required_columns, const Block & projection_block_for_keys, const String & predicate_column_name)
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{
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std::unordered_set<const Node *> visited_nodes;
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std::unordered_set<std::string_view> visited_nodes_names;
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std::stack<Node *> stack;
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std::vector<const ColumnWithTypeAndName *> missing_input_from_projection_keys;
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for (const auto & node : index)
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{
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if (required_columns.find(node->result_name) != required_columns.end() || node->result_name == predicate_column_name)
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{
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visited_nodes.insert(node);
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visited_nodes_names.insert(node->result_name);
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stack.push(const_cast<Node *>(node));
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}
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}
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for (const auto & column : required_columns)
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{
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if (visited_nodes_names.find(column) == visited_nodes_names.end())
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{
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if (const ColumnWithTypeAndName * column_with_type_name = projection_block_for_keys.findByName(column))
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{
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const auto * node = &addInput(*column_with_type_name);
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index.push_back(node);
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visited_nodes.insert(node);
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}
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else
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{
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// Missing column
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return {};
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}
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}
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}
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while (!stack.empty())
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{
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auto * node = stack.top();
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stack.pop();
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if (const ColumnWithTypeAndName * column_with_type_name = projection_block_for_keys.findByName(node->result_name))
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{
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if (node->type != ActionsDAG::ActionType::INPUT)
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{
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/// Projection folding.
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node->type = ActionsDAG::ActionType::INPUT;
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node->result_type = std::move(column_with_type_name->type);
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node->result_name = std::move(column_with_type_name->name);
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node->children.clear();
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inputs.push_back(node);
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}
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}
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for (const auto * child : node->children)
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{
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if (visited_nodes.count(child) == 0)
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{
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stack.push(const_cast<Node *>(child));
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visited_nodes.insert(child);
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}
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}
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}
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nodes.remove_if([&](const Node & node) { return visited_nodes.count(&node) == 0; });
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std::erase_if(inputs, [&](const Node * node) { return visited_nodes.count(node) == 0; });
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std::erase_if(index, [&](const Node * node) { return visited_nodes.count(node) == 0; });
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NameSet next_required_columns;
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for (const auto & input : inputs)
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next_required_columns.insert(input->result_name);
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return next_required_columns;
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}
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void ActionsDAG::addAggregatesViaProjection(const Block & aggregates)
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{
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for (const auto & aggregate : aggregates)
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index.push_back(&addInput(aggregate));
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}
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void ActionsDAG::addAliases(const NamesWithAliases & aliases)
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{
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std::unordered_map<std::string_view, size_t> names_map;
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@ -168,6 +168,10 @@ public:
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void removeUnusedActions(const Names & required_names);
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void removeUnusedActions(const NameSet & required_names);
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NameSet
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foldActionsByProjection(const NameSet & keys, const Block & projection_block_for_keys, const String & predicate_column_name = {});
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void addAggregatesViaProjection(const Block & aggregates);
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bool hasArrayJoin() const;
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bool hasStatefulFunctions() const;
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bool trivial() const; /// If actions has no functions or array join.
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@ -590,7 +590,8 @@ Block InterpreterSelectQuery::getSampleBlockImpl()
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from_stage = storage->getQueryProcessingStage(context, options.to_stage, metadata_snapshot, query_info);
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/// XXX Used for IN set index analysis. Is this a proper way?
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metadata_snapshot->selected_projection = query_info.projection;
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if (query_info.projection)
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metadata_snapshot->selected_projection = query_info.projection->desc;
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}
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/// Do I need to perform the first part of the pipeline?
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@ -969,6 +970,7 @@ void InterpreterSelectQuery::executeImpl(QueryPlan & query_plan, const BlockInpu
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// To remove additional columns in dry run
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// For example, sample column which can be removed in this stage
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// TODO There seems to be no place initializing remove_columns_actions
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if (expressions.prewhere_info->remove_columns_actions)
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{
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auto remove_columns = std::make_unique<ExpressionStep>(
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@ -1409,19 +1411,23 @@ void InterpreterSelectQuery::addEmptySourceToQueryPlan(
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{
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Pipe pipe(std::make_shared<NullSource>(source_header));
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if (!query_info.key_actions.func_map.empty())
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if (query_info.projection)
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{
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ASTPtr expr = std::make_shared<ASTExpressionList>();
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NamesAndTypesList columns;
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for (const auto & [nt, func] : query_info.key_actions.func_map)
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if (query_info.projection->before_where)
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{
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expr->children.push_back(func);
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columns.push_back(nt);
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auto expression = std::make_shared<ExpressionActions>(
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query_info.projection->before_where, ExpressionActionsSettings::fromContext(context_));
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pipe.addSimpleTransform(
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[&expression](const Block & header) { return std::make_shared<ExpressionTransform>(header, expression); });
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}
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auto syntax_result = TreeRewriter(context_).analyze(expr, columns);
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auto expression = ExpressionAnalyzer(expr, syntax_result, context_).getActions(false);
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pipe.addSimpleTransform([&expression](const Block & header) { return std::make_shared<ExpressionTransform>(header, expression); });
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if (query_info.projection->before_aggregation)
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{
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auto expression = std::make_shared<ExpressionActions>(
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query_info.projection->before_aggregation, ExpressionActionsSettings::fromContext(context_));
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pipe.addSimpleTransform(
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[&expression](const Block & header) { return std::make_shared<ExpressionTransform>(header, expression); });
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}
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}
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if (query_info.prewhere_info)
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@ -1864,7 +1870,7 @@ void InterpreterSelectQuery::executeFetchColumns(QueryProcessingStage::Enum proc
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backQuoteIfNeed(local_storage_id.getDatabaseName()),
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local_storage_id.getFullTableName(),
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required_columns,
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query_info.projection ? query_info.projection->name : "");
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query_info.projection ? query_info.projection->desc->name : "");
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}
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/// Create step which reads from empty source if storage has no data.
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@ -1988,7 +1994,7 @@ void InterpreterSelectQuery::executeMergeAggregated(QueryPlan & query_plan, bool
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/// It is already added by storage (because of performance issues).
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/// TODO: We should probably add another one processing stage for storage?
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/// WithMergeableStateAfterAggregation is not ok because, e.g., it skips sorting after aggregation.
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if (query_info.projection && query_info.projection->type == ProjectionDescription::Type::Aggregate)
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if (query_info.projection && query_info.projection->desc->type == ProjectionDescription::Type::Aggregate)
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return;
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const auto & header_before_merge = query_plan.getCurrentDataStream().header;
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@ -19,7 +19,6 @@ ReadFromMergeTree::ReadFromMergeTree(
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RangesInDataParts parts_,
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IndexStatPtr index_stats_,
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PrewhereInfoPtr prewhere_info_,
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const ProjectionDescription * projection_,
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Names virt_column_names_,
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Settings settings_,
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size_t num_streams_,
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@ -36,7 +35,6 @@ ReadFromMergeTree::ReadFromMergeTree(
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, parts(std::move(parts_))
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, index_stats(std::move(index_stats_))
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, prewhere_info(std::move(prewhere_info_))
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, projection(projection_)
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, virt_column_names(std::move(virt_column_names_))
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, settings(std::move(settings_))
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, num_streams(num_streams_)
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@ -79,7 +77,7 @@ Pipe ReadFromMergeTree::readFromPool()
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i, pool, settings.min_marks_for_concurrent_read, settings.max_block_size,
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settings.preferred_block_size_bytes, settings.preferred_max_column_in_block_size_bytes,
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storage, metadata_snapshot, settings.use_uncompressed_cache,
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prewhere_info, projection, settings.reader_settings, virt_column_names);
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prewhere_info, settings.reader_settings, virt_column_names);
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if (i == 0)
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{
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@ -99,7 +97,7 @@ ProcessorPtr ReadFromMergeTree::createSource(const RangesInDataPart & part)
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return std::make_shared<TSource>(
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storage, metadata_snapshot, part.data_part, settings.max_block_size, settings.preferred_block_size_bytes,
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settings.preferred_max_column_in_block_size_bytes, required_columns, part.ranges, settings.use_uncompressed_cache,
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prewhere_info, projection, true, settings.reader_settings, virt_column_names, part.part_index_in_query);
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prewhere_info, true, settings.reader_settings, virt_column_names, part.part_index_in_query);
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}
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Pipe ReadFromMergeTree::readInOrder()
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@ -74,7 +74,6 @@ public:
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RangesInDataParts parts_,
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IndexStatPtr index_stats_,
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PrewhereInfoPtr prewhere_info_,
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const ProjectionDescription * projection_,
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Names virt_column_names_,
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Settings settings_,
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size_t num_streams_,
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@ -100,7 +99,6 @@ private:
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RangesInDataParts parts;
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IndexStatPtr index_stats;
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PrewhereInfoPtr prewhere_info;
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const ProjectionDescription * projection;
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Names virt_column_names;
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Settings settings;
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@ -105,7 +105,7 @@ void IStorage::read(
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auto pipe = read(column_names, metadata_snapshot, query_info, context, processed_stage, max_block_size, num_streams);
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if (pipe.empty())
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{
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auto header = (query_info.projection ? query_info.projection->metadata : metadata_snapshot)
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auto header = (query_info.projection ? query_info.projection->desc->metadata : metadata_snapshot)
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->getSampleBlockForColumns(column_names, getVirtuals(), getStorageID());
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InterpreterSelectQuery::addEmptySourceToQueryPlan(query_plan, header, query_info, context);
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}
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@ -26,7 +26,6 @@ MergeTreeBaseSelectProcessor::MergeTreeBaseSelectProcessor(
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const MergeTreeData & storage_,
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const StorageMetadataPtr & metadata_snapshot_,
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const PrewhereInfoPtr & prewhere_info_,
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const ProjectionDescription * projection_,
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UInt64 max_block_size_rows_,
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UInt64 preferred_block_size_bytes_,
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UInt64 preferred_max_column_in_block_size_bytes_,
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@ -37,7 +36,6 @@ MergeTreeBaseSelectProcessor::MergeTreeBaseSelectProcessor(
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, storage(storage_)
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, metadata_snapshot(metadata_snapshot_)
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, prewhere_info(prewhere_info_)
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, projection(projection_)
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, max_block_size_rows(max_block_size_rows_)
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, preferred_block_size_bytes(preferred_block_size_bytes_)
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, preferred_max_column_in_block_size_bytes(preferred_max_column_in_block_size_bytes_)
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@ -66,13 +64,6 @@ Chunk MergeTreeBaseSelectProcessor::generate()
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if (res.hasRows())
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{
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injectVirtualColumns(res, task.get(), partition_value_type, virt_column_names);
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if (projection)
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{
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auto info = std::make_shared<AggregatedChunkInfo>();
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info->bucket_num = -1;
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info->is_overflows = false;
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res.setChunkInfo(std::move(info));
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}
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return res;
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}
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}
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@ -260,24 +251,6 @@ static void injectVirtualColumnsImpl(
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inserter.insertStringColumn(column, virtual_column_name);
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}
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else if (virtual_column_name == "_projections")
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{
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ColumnPtr column;
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if (rows)
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{
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Array projections;
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for (const auto & [name, _] : part->getProjectionParts())
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projections.push_back(name);
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column = DataTypeArray(std::make_shared<DataTypeString>())
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.createColumnConst(rows, projections)
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->convertToFullColumnIfConst();
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}
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else
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column = DataTypeArray(std::make_shared<DataTypeString>()).createColumn();
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inserter.insertArrayOfStringsColumn(column, virtual_column_name);
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}
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else if (virtual_column_name == "_part_index")
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{
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ColumnPtr column;
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@ -24,7 +24,6 @@ public:
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const MergeTreeData & storage_,
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const StorageMetadataPtr & metadata_snapshot_,
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const PrewhereInfoPtr & prewhere_info_,
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const ProjectionDescription * projection_,
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UInt64 max_block_size_rows_,
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UInt64 preferred_block_size_bytes_,
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UInt64 preferred_max_column_in_block_size_bytes_,
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@ -62,7 +61,6 @@ protected:
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StorageMetadataPtr metadata_snapshot;
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PrewhereInfoPtr prewhere_info;
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const ProjectionDescription * projection;
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UInt64 max_block_size_rows;
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UInt64 preferred_block_size_bytes;
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@ -33,6 +33,7 @@
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#include <Processors/Formats/InputStreamFromInputFormat.h>
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#include <Storages/AlterCommands.h>
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#include <Storages/MergeTree/MergeTreeData.h>
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#include <Storages/MergeTree/MergeTreeDataUtils.h>
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#include <Storages/MergeTree/MergeTreeDataPartCompact.h>
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#include <Storages/MergeTree/MergeTreeDataPartInMemory.h>
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#include <Storages/MergeTree/MergeTreeDataPartWide.h>
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@ -3800,191 +3801,6 @@ bool MergeTreeData::mayBenefitFromIndexForIn(
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}
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bool MergeTreeData::getQueryProcessingStageWithAggregateProjection(
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ContextPtr query_context,
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const StorageMetadataPtr & metadata_snapshot,
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SelectQueryInfo & query_info)
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{
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const auto & settings = query_context->getSettingsRef();
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if (!settings.allow_experimental_projection_optimization || query_info.ignore_projections)
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return false;
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const auto & query_ptr = query_info.query;
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InterpreterSelectQuery select(
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query_ptr, query_context, SelectQueryOptions{QueryProcessingStage::WithMergeableState}.ignoreProjections().ignoreAlias());
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const auto & analysis_result = select.getAnalysisResult();
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bool can_use_aggregate_projection = true;
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/// If the first stage of the query pipeline is more complex than Aggregating - Expression - Filter - ReadFromStorage,
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/// we cannot use aggregate projection.
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if (analysis_result.join != nullptr || analysis_result.array_join != nullptr)
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can_use_aggregate_projection = false;
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auto query_block = select.getSampleBlock();
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const auto & required_query = select.getQuery()->as<const ASTSelectQuery &>();
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auto required_predicates = [&required_query]() -> ASTPtr
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{
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if (required_query.prewhere() && required_query.where())
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return makeASTFunction("and", required_query.prewhere()->clone(), required_query.where()->clone());
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else if (required_query.prewhere())
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return required_query.prewhere()->clone();
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else if (required_query.where())
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return required_query.where()->clone();
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else
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return nullptr;
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}();
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/// Check if all needed columns can be provided by some aggregate projection. Here we also try
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/// to find expression matches. For example, suppose an aggregate projection contains a column
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/// named sum(x) and the given query also has an expression called sum(x), it's a match. This is
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/// why we need to ignore all aliases during projection creation and the above query planning.
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/// It's also worth noting that, sqrt(sum(x)) will also work because we can treat sum(x) as a
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/// required column.
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/// TODO we can use ActionsDAG here to make proper check
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/// The ownership of ProjectionDescription is hold in metadata_snapshot which lives along with
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/// InterpreterSelect, thus we can store the raw pointer here.
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struct ProjectionCandidate
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{
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const ProjectionDescription * desc;
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ProjectionKeyActions key_actions;
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Names required_columns;
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NameSet required_columns_in_predicate;
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};
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std::vector<ProjectionCandidate> candidates;
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ParserFunction parse_function;
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for (const auto & projection : metadata_snapshot->projections)
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{
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if (projection.type == ProjectionDescription::Type::Aggregate && (!analysis_result.need_aggregate || !can_use_aggregate_projection))
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continue;
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if (projection.type == ProjectionDescription::Type::Normal && !(analysis_result.hasWhere() || analysis_result.hasPrewhere()))
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continue;
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bool covered = true;
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ASTs expr_names;
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Strings maybe_dimension_column_exprs;
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Block key_block = projection.metadata->primary_key.sample_block;
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/// First check if all columns in current query are provided by current projection.
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/// Collect missing columns and remove matching columns in key blocks so they aren't used twice.
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for (const auto & column_with_type_name : query_block)
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{
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if (!projection.sample_block.has(column_with_type_name.name))
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maybe_dimension_column_exprs.push_back(column_with_type_name.name);
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else
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{
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if (key_block.has(column_with_type_name.name))
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key_block.erase(column_with_type_name.name);
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}
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}
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ProjectionKeyActions key_actions;
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/// Check if the missing columns can be produced by key columns in projection.
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for (const auto & expr_name : maybe_dimension_column_exprs)
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{
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/// XXX We need AST out from string names. Have to resort to the parser here.
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Tokens tokens_number(expr_name.data(), expr_name.data() + expr_name.size());
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IParser::Pos pos(tokens_number, settings.max_parser_depth);
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Expected expected;
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ASTPtr ast;
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/// It should be a function call, or else we would match them already.
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if (!parse_function.parse(pos, ast, expected))
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{
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covered = false;
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break;
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}
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// It should be a function call that only requires unused key columns, or else some key
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// column might be transformed in different ways, which is not injective.
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if (!key_actions.add(ast, expr_name, key_block))
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{
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covered = false;
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break;
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}
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}
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if (covered)
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{
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Names required_column_names = query_block.getNames();
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// Calculate the correct required projection columns
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for (auto & name : required_column_names)
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{
|
||||
auto it = key_actions.name_map.find(name);
|
||||
if (it != key_actions.name_map.end())
|
||||
name = it->second;
|
||||
}
|
||||
|
||||
ProjectionCondition projection_condition(projection.column_names, required_column_names);
|
||||
if (required_predicates && !projection_condition.check(required_predicates))
|
||||
continue;
|
||||
candidates.push_back(
|
||||
{&projection,
|
||||
std::move(key_actions),
|
||||
projection_condition.getRequiredColumns(),
|
||||
projection_condition.getRequiredColumnsInPredicate()});
|
||||
}
|
||||
}
|
||||
|
||||
// Let's select the best aggregate projection to execute the query.
|
||||
if (!candidates.empty())
|
||||
{
|
||||
size_t min_key_size = std::numeric_limits<size_t>::max();
|
||||
const ProjectionCandidate * selected_candidate = nullptr;
|
||||
/// Favor aggregate projections
|
||||
for (const auto & candidate : candidates)
|
||||
{
|
||||
// TODO We choose the projection with least key_size. Perhaps we can do better? (key rollups)
|
||||
if (candidate.desc->type == ProjectionDescription::Type::Aggregate && candidate.desc->key_size < min_key_size)
|
||||
{
|
||||
selected_candidate = &candidate;
|
||||
min_key_size = candidate.desc->key_size;
|
||||
}
|
||||
}
|
||||
|
||||
/// Select the best normal projection if no aggregate projection is available
|
||||
if (!selected_candidate)
|
||||
{
|
||||
size_t max_num_of_matched_key_columns = 0;
|
||||
for (const auto & candidate : candidates)
|
||||
{
|
||||
NameSet column_names(
|
||||
candidate.desc->metadata->sorting_key.column_names.begin(), candidate.desc->metadata->sorting_key.column_names.end());
|
||||
|
||||
size_t num_of_matched_key_columns = 0;
|
||||
for (const auto & name : candidate.desc->metadata->sorting_key.column_names)
|
||||
{
|
||||
if (candidate.required_columns_in_predicate.find(name) != candidate.required_columns_in_predicate.end())
|
||||
++num_of_matched_key_columns;
|
||||
}
|
||||
|
||||
/// Select the normal projection that has the most matched key columns in predicate
|
||||
/// TODO What's the best strategy here?
|
||||
if (num_of_matched_key_columns > max_num_of_matched_key_columns)
|
||||
{
|
||||
selected_candidate = &candidate;
|
||||
max_num_of_matched_key_columns = num_of_matched_key_columns;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!selected_candidate)
|
||||
return false;
|
||||
|
||||
query_info.projection = selected_candidate->desc;
|
||||
query_info.key_actions = std::move(selected_candidate->key_actions);
|
||||
query_info.projection_names = std::move(selected_candidate->required_columns);
|
||||
query_info.projection_block = query_block;
|
||||
query_info.aggregation_keys = select.getQueryAnalyzer()->aggregationKeys();
|
||||
query_info.aggregate_descriptions = select.getQueryAnalyzer()->aggregates();
|
||||
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
QueryProcessingStage::Enum MergeTreeData::getQueryProcessingStage(
|
||||
ContextPtr query_context,
|
||||
QueryProcessingStage::Enum to_stage,
|
||||
@ -3995,7 +3811,7 @@ QueryProcessingStage::Enum MergeTreeData::getQueryProcessingStage(
|
||||
{
|
||||
if (getQueryProcessingStageWithAggregateProjection(query_context, metadata_snapshot, query_info))
|
||||
{
|
||||
if (query_info.projection->type == ProjectionDescription::Type::Aggregate)
|
||||
if (query_info.projection->desc->type == ProjectionDescription::Type::Aggregate)
|
||||
return QueryProcessingStage::Enum::WithMergeableState;
|
||||
}
|
||||
}
|
||||
|
@ -358,11 +358,6 @@ public:
|
||||
bool attach,
|
||||
BrokenPartCallback broken_part_callback_ = [](const String &){});
|
||||
|
||||
static bool getQueryProcessingStageWithAggregateProjection(
|
||||
ContextPtr query_context,
|
||||
const StorageMetadataPtr & metadata_snapshot,
|
||||
SelectQueryInfo & query_info);
|
||||
|
||||
QueryProcessingStage::Enum getQueryProcessingStage(
|
||||
ContextPtr query_context,
|
||||
QueryProcessingStage::Enum to_stage,
|
||||
|
@ -142,7 +142,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
const PartitionIdToMaxBlock * max_block_numbers_to_read) const
|
||||
{
|
||||
const auto & settings = context->getSettingsRef();
|
||||
if (query_info.projection == nullptr)
|
||||
if (!query_info.projection)
|
||||
{
|
||||
if (settings.allow_experimental_projection_optimization && settings.force_optimize_projection
|
||||
&& !metadata_snapshot->projections.empty())
|
||||
@ -165,7 +165,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
size_t no_projection_granules = 0;
|
||||
size_t with_projection_granules = 0;
|
||||
|
||||
if (query_info.projection->type == ProjectionDescription::Type::Normal)
|
||||
if (query_info.projection->desc->type == ProjectionDescription::Type::Normal)
|
||||
plan_no_projections = readFromParts(
|
||||
data.getDataPartsVector(),
|
||||
column_names_to_return,
|
||||
@ -177,7 +177,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
max_block_numbers_to_read,
|
||||
&no_projection_granules);
|
||||
|
||||
LOG_DEBUG(log, "Choose projection {}", query_info.projection->name);
|
||||
LOG_DEBUG(log, "Choose projection {}", query_info.projection->desc->name);
|
||||
|
||||
Pipes pipes;
|
||||
auto parts = data.getDataPartsVector();
|
||||
@ -187,7 +187,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
for (auto & part : parts)
|
||||
{
|
||||
const auto & projections = part->getProjectionParts();
|
||||
auto it = projections.find(query_info.projection->name);
|
||||
auto it = projections.find(query_info.projection->desc->name);
|
||||
if (it != projections.end())
|
||||
{
|
||||
projection_parts.push_back(it->second);
|
||||
@ -214,8 +214,8 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
{
|
||||
auto plan = readFromParts(
|
||||
std::move(projection_parts),
|
||||
query_info.projection_names, // raw columns without key transformation
|
||||
query_info.projection->metadata,
|
||||
query_info.projection->required_columns, // raw columns without key transformation
|
||||
query_info.projection->desc->metadata,
|
||||
query_info,
|
||||
context,
|
||||
max_block_size,
|
||||
@ -230,57 +230,32 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
|
||||
if (!projection_pipe.empty())
|
||||
{
|
||||
// If `key_actions` is not empty, transform input blocks by adding needed columns
|
||||
// If `before_where` is not empty, transform input blocks by adding needed columns
|
||||
// originated from key columns. We already project the block at the end, using
|
||||
// projection_block, so we can just add more columns here without worrying
|
||||
if (!query_info.key_actions.func_map.empty())
|
||||
// NOTE: prewhere is executed inside readFromParts
|
||||
if (query_info.projection->before_where)
|
||||
{
|
||||
ASTPtr expr = std::make_shared<ASTExpressionList>();
|
||||
NamesAndTypesList columns;
|
||||
for (const auto & [nt, func] : query_info.key_actions.func_map)
|
||||
{
|
||||
expr->children.push_back(func);
|
||||
columns.push_back(nt);
|
||||
}
|
||||
|
||||
auto syntax_result = TreeRewriter(context).analyze(expr, columns);
|
||||
auto expression = ExpressionAnalyzer(expr, syntax_result, context).getActions(false);
|
||||
auto expression = std::make_shared<ExpressionActions>(
|
||||
query_info.projection->before_where, ExpressionActionsSettings::fromContext(context));
|
||||
projection_pipe.addSimpleTransform(
|
||||
[&expression](const Block & header) { return std::make_shared<ExpressionTransform>(header, expression); });
|
||||
}
|
||||
|
||||
/// In sample block we use just key columns
|
||||
if (given_select.where())
|
||||
if (query_info.projection->before_aggregation)
|
||||
{
|
||||
// we can use the previous pipeline's sample block here
|
||||
Block filter_block = projection_pipe.getHeader();
|
||||
|
||||
ASTPtr where = given_select.where()->clone();
|
||||
ProjectionCondition projection_condition(filter_block.getNames(), {});
|
||||
projection_condition.rewrite(where);
|
||||
auto where_column_name = where->getColumnName();
|
||||
auto syntax_result = TreeRewriter(context).analyze(where, filter_block.getNamesAndTypesList());
|
||||
const auto actions = ExpressionAnalyzer(where, syntax_result, context).getActions(false);
|
||||
|
||||
projection_pipe.addSimpleTransform([&](const Block & header, QueryPipeline::StreamType)
|
||||
{
|
||||
return std::make_shared<FilterTransform>(header, actions, where_column_name, true);
|
||||
});
|
||||
auto expression = std::make_shared<ExpressionActions>(
|
||||
query_info.projection->before_aggregation, ExpressionActionsSettings::fromContext(context));
|
||||
projection_pipe.addSimpleTransform(
|
||||
[&expression](const Block & header) { return std::make_shared<ExpressionTransform>(header, expression); });
|
||||
}
|
||||
|
||||
// Project columns and set bucket number to -1
|
||||
// optionally holds the reference of parent parts
|
||||
projection_pipe.addSimpleTransform([&](const Block & header)
|
||||
{
|
||||
return std::make_shared<ProjectionPartTransform>(header, query_info.projection_block, std::move(parent_parts));
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
if (!normal_parts.empty())
|
||||
{
|
||||
auto storage_from_source_part = StorageFromMergeTreeDataPart::create(std::move(normal_parts));
|
||||
auto ast = query_info.projection->query_ast->clone();
|
||||
auto ast = query_info.projection->desc->query_ast->clone();
|
||||
auto & select = ast->as<ASTSelectQuery &>();
|
||||
if (given_select.where())
|
||||
select.setExpression(ASTSelectQuery::Expression::WHERE, given_select.where()->clone());
|
||||
@ -293,21 +268,14 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
ordinary_pipe = QueryPipeline::getPipe(interpreter.execute().pipeline);
|
||||
|
||||
with_projection_granules += storage_from_source_part->getNumGranulesFromLastRead();
|
||||
|
||||
if (!ordinary_pipe.empty() && processed_stage < QueryProcessingStage::Enum::WithMergeableState)
|
||||
{
|
||||
// projection and set bucket number to -1
|
||||
ordinary_pipe.addSimpleTransform(
|
||||
[&](const Block & header) { return std::make_shared<ProjectionPartTransform>(header, query_info.projection_block); });
|
||||
}
|
||||
}
|
||||
|
||||
/// Use normal projection only if we read less granules then without it.
|
||||
/// TODO: check if read-in-order optimization possible for normal projection.
|
||||
if (query_info.projection->type == ProjectionDescription::Type::Normal && with_projection_granules > no_projection_granules)
|
||||
if (query_info.projection->desc->type == ProjectionDescription::Type::Normal && with_projection_granules > no_projection_granules)
|
||||
return plan_no_projections;
|
||||
|
||||
if (query_info.projection->type == ProjectionDescription::Type::Aggregate)
|
||||
if (query_info.projection->desc->type == ProjectionDescription::Type::Aggregate)
|
||||
{
|
||||
/// Here we create shared ManyAggregatedData for both projection and ordinary data.
|
||||
/// For ordinary data, AggregatedData is filled in a usual way.
|
||||
@ -332,12 +300,12 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
std::cerr << "============ header before merge" << std::endl;
|
||||
std::cerr << header_before_merge.dumpStructure() << std::endl;
|
||||
ColumnNumbers keys;
|
||||
for (const auto & key : query_info.aggregation_keys)
|
||||
for (const auto & key : query_info.projection->aggregation_keys)
|
||||
keys.push_back(header_before_merge.getPositionByName(key.name));
|
||||
|
||||
/// Aggregates are needed to calc proper header for AggregatingTransform result.
|
||||
/// However, they are not filled cause header from projection pipe already contain aggregate functions.
|
||||
AggregateDescriptions aggregates = query_info.aggregate_descriptions;
|
||||
AggregateDescriptions aggregates = query_info.projection->aggregate_descriptions;
|
||||
|
||||
/// Aggregator::Params params(header_before_merge, keys, query_info.aggregate_descriptions, overflow_row, settings.max_threads);
|
||||
Aggregator::Params params(
|
||||
@ -390,10 +358,10 @@ QueryPlanPtr MergeTreeDataSelectExecutor::read(
|
||||
std::cerr << header_before_aggregation.dumpStructure() << std::endl;
|
||||
|
||||
ColumnNumbers keys;
|
||||
for (const auto & key : query_info.aggregation_keys)
|
||||
for (const auto & key : query_info.projection->aggregation_keys)
|
||||
keys.push_back(header_before_aggregation.getPositionByName(key.name));
|
||||
|
||||
AggregateDescriptions aggregates = query_info.aggregate_descriptions;
|
||||
AggregateDescriptions aggregates = query_info.projection->aggregate_descriptions;
|
||||
for (auto & descr : aggregates)
|
||||
if (descr.arguments.empty())
|
||||
for (const auto & name : descr.argument_names)
|
||||
@ -458,7 +426,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::readFromParts(
|
||||
bool use_projection_metadata) const
|
||||
{
|
||||
const StorageMetadataPtr & metadata_snapshot
|
||||
= (query_info.projection && use_projection_metadata) ? query_info.projection->metadata : metadata_snapshot_base;
|
||||
= (query_info.projection && use_projection_metadata) ? query_info.projection->desc->metadata : metadata_snapshot_base;
|
||||
|
||||
/// If query contains restrictions on the virtual column `_part` or `_part_index`, select only parts suitable for it.
|
||||
/// The virtual column `_sample_factor` (which is equal to 1 / used sample rate) can be requested in the query.
|
||||
@ -1269,6 +1237,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::readFromParts(
|
||||
plan->addStep(std::move(adding_column));
|
||||
}
|
||||
|
||||
// TODO There seems to be no place initializing remove_columns_actions
|
||||
if (query_info.prewhere_info && query_info.prewhere_info->remove_columns_actions)
|
||||
{
|
||||
auto expression_step = std::make_unique<ExpressionStep>(
|
||||
@ -1411,8 +1380,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::spreadMarkRangesAmongStreams(
|
||||
column_names,
|
||||
std::move(parts),
|
||||
std::move(index_stats),
|
||||
query_info.prewhere_info,
|
||||
query_info.projection,
|
||||
query_info.projection ? query_info.projection->prewhere_info : query_info.prewhere_info,
|
||||
virt_columns,
|
||||
step_settings,
|
||||
num_streams,
|
||||
@ -1621,8 +1589,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::spreadMarkRangesAmongStreamsWithOrder(
|
||||
column_names,
|
||||
std::move(new_parts),
|
||||
std::move(index_stats),
|
||||
query_info.prewhere_info,
|
||||
query_info.projection,
|
||||
query_info.projection ? query_info.projection->prewhere_info : query_info.prewhere_info,
|
||||
virt_columns,
|
||||
step_settings,
|
||||
num_streams,
|
||||
@ -1805,8 +1772,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::spreadMarkRangesAmongStreamsFinal(
|
||||
column_names,
|
||||
std::move(new_parts),
|
||||
std::move(index_stats),
|
||||
query_info.prewhere_info,
|
||||
query_info.projection,
|
||||
query_info.projection ? query_info.projection->prewhere_info : query_info.prewhere_info,
|
||||
virt_columns,
|
||||
step_settings,
|
||||
num_streams,
|
||||
@ -1897,8 +1863,7 @@ QueryPlanPtr MergeTreeDataSelectExecutor::spreadMarkRangesAmongStreamsFinal(
|
||||
column_names,
|
||||
std::move(lonely_parts),
|
||||
std::move(index_stats),
|
||||
query_info.prewhere_info,
|
||||
query_info.projection,
|
||||
query_info.projection ? query_info.projection->prewhere_info : query_info.prewhere_info,
|
||||
virt_columns,
|
||||
step_settings,
|
||||
num_streams_for_lonely_parts,
|
||||
|
222
src/Storages/MergeTree/MergeTreeDataUtils.cpp
Normal file
222
src/Storages/MergeTree/MergeTreeDataUtils.cpp
Normal file
@ -0,0 +1,222 @@
|
||||
#include <Storages/MergeTree/MergeTreeDataUtils.h>
|
||||
|
||||
#include <Interpreters/Context.h>
|
||||
#include <Interpreters/InterpreterSelectQuery.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
bool getQueryProcessingStageWithAggregateProjection(
|
||||
ContextPtr query_context, const StorageMetadataPtr & metadata_snapshot, SelectQueryInfo & query_info)
|
||||
{
|
||||
const auto & settings = query_context->getSettingsRef();
|
||||
if (!settings.allow_experimental_projection_optimization || query_info.ignore_projections)
|
||||
return false;
|
||||
|
||||
const auto & query_ptr = query_info.query;
|
||||
|
||||
InterpreterSelectQuery select(
|
||||
query_ptr, query_context, SelectQueryOptions{QueryProcessingStage::WithMergeableState}.ignoreProjections().ignoreAlias());
|
||||
const auto & analysis_result = select.getAnalysisResult();
|
||||
|
||||
bool can_use_aggregate_projection = true;
|
||||
/// If the first stage of the query pipeline is more complex than Aggregating - Expression - Filter - ReadFromStorage,
|
||||
/// we cannot use aggregate projection.
|
||||
if (analysis_result.join != nullptr || analysis_result.array_join != nullptr)
|
||||
can_use_aggregate_projection = false;
|
||||
|
||||
auto query_block = select.getSampleBlock();
|
||||
const auto & required_query = select.getQuery()->as<const ASTSelectQuery &>();
|
||||
auto required_predicates = [&required_query]() -> ASTPtr
|
||||
{
|
||||
if (required_query.prewhere() && required_query.where())
|
||||
return makeASTFunction("and", required_query.prewhere()->clone(), required_query.where()->clone());
|
||||
else if (required_query.prewhere())
|
||||
return required_query.prewhere()->clone();
|
||||
else if (required_query.where())
|
||||
return required_query.where()->clone();
|
||||
else
|
||||
return nullptr;
|
||||
}();
|
||||
|
||||
/// Check if all needed columns can be provided by some aggregate projection. Here we also try
|
||||
/// to find expression matches. For example, suppose an aggregate projection contains a column
|
||||
/// named sum(x) and the given query also has an expression called sum(x), it's a match. This is
|
||||
/// why we need to ignore all aliases during projection creation and the above query planning.
|
||||
/// It's also worth noting that, sqrt(sum(x)) will also work because we can treat sum(x) as a
|
||||
/// required column.
|
||||
|
||||
/// The ownership of ProjectionDescription is hold in metadata_snapshot which lives along with
|
||||
/// InterpreterSelect, thus we can store the raw pointer here.
|
||||
std::vector<ProjectionCandidate> candidates;
|
||||
NameSet keys;
|
||||
for (const auto & desc : select.getQueryAnalyzer()->aggregationKeys())
|
||||
keys.insert(desc.name);
|
||||
|
||||
// All required columns should be provided by either current projection or previous actions
|
||||
// Let's traverse backward to finish the check.
|
||||
// TODO what if there is a column with name sum(x) and an aggregate sum(x)?
|
||||
auto rewrite_before_where =
|
||||
[&](ProjectionCandidate & candidate, const ProjectionDescription & projection, NameSet & required_columns, const Block & aggregates)
|
||||
{
|
||||
if (analysis_result.before_where)
|
||||
{
|
||||
candidate.before_where = analysis_result.before_where->clone();
|
||||
required_columns = candidate.before_where->foldActionsByProjection(
|
||||
required_columns, projection.sample_block_for_keys, query_ptr->as<const ASTSelectQuery &>().where()->getColumnName());
|
||||
if (required_columns.empty())
|
||||
return false;
|
||||
candidate.before_where->addAggregatesViaProjection(aggregates);
|
||||
}
|
||||
|
||||
if (analysis_result.prewhere_info)
|
||||
{
|
||||
auto & prewhere_info = analysis_result.prewhere_info;
|
||||
candidate.prewhere_info = std::make_shared<PrewhereInfo>();
|
||||
candidate.prewhere_info->prewhere_column_name = prewhere_info->prewhere_column_name;
|
||||
candidate.prewhere_info->remove_prewhere_column = prewhere_info->remove_prewhere_column;
|
||||
candidate.prewhere_info->row_level_column_name = prewhere_info->row_level_column_name;
|
||||
candidate.prewhere_info->need_filter = prewhere_info->need_filter;
|
||||
|
||||
auto actions_settings = ExpressionActionsSettings::fromSettings(query_context->getSettingsRef());
|
||||
auto prewhere_actions = prewhere_info->prewhere_actions->clone();
|
||||
NameSet prewhere_required_columns;
|
||||
prewhere_required_columns = prewhere_actions->foldActionsByProjection(
|
||||
prewhere_required_columns, projection.sample_block_for_keys, prewhere_info->prewhere_column_name);
|
||||
if (prewhere_required_columns.empty())
|
||||
return false;
|
||||
candidate.prewhere_info->prewhere_actions = std::make_shared<ExpressionActions>(prewhere_actions, actions_settings);
|
||||
|
||||
if (prewhere_info->row_level_filter_actions)
|
||||
{
|
||||
auto row_level_filter_actions = prewhere_info->row_level_filter_actions->clone();
|
||||
prewhere_required_columns = row_level_filter_actions->foldActionsByProjection(
|
||||
prewhere_required_columns, projection.sample_block_for_keys, prewhere_info->row_level_column_name);
|
||||
if (prewhere_required_columns.empty())
|
||||
return false;
|
||||
candidate.prewhere_info->row_level_filter
|
||||
= std::make_shared<ExpressionActions>(row_level_filter_actions, actions_settings);
|
||||
}
|
||||
|
||||
if (prewhere_info->alias_actions)
|
||||
{
|
||||
auto alias_actions = prewhere_info->alias_actions->clone();
|
||||
prewhere_required_columns
|
||||
= alias_actions->foldActionsByProjection(prewhere_required_columns, projection.sample_block_for_keys);
|
||||
if (prewhere_required_columns.empty())
|
||||
return false;
|
||||
candidate.prewhere_info->alias_actions = std::make_shared<ExpressionActions>(alias_actions, actions_settings);
|
||||
}
|
||||
required_columns.insert(prewhere_required_columns.begin(), prewhere_required_columns.end());
|
||||
}
|
||||
return true;
|
||||
};
|
||||
|
||||
for (const auto & projection : metadata_snapshot->projections)
|
||||
{
|
||||
ProjectionCandidate candidate{};
|
||||
candidate.desc = &projection;
|
||||
|
||||
if (projection.type == ProjectionDescription::Type::Aggregate && analysis_result.need_aggregate && can_use_aggregate_projection)
|
||||
{
|
||||
bool match = true;
|
||||
Block aggregates;
|
||||
// Let's first check if all aggregates are provided by current projection
|
||||
for (const auto & aggregate : select.getQueryAnalyzer()->aggregates())
|
||||
{
|
||||
const auto * column = projection.sample_block.findByName(aggregate.column_name);
|
||||
if (column)
|
||||
{
|
||||
aggregates.insert(*column);
|
||||
}
|
||||
else
|
||||
{
|
||||
match = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (!match)
|
||||
continue;
|
||||
|
||||
// Check if all aggregation keys can be either provided by some action, or by current
|
||||
// projection directly. Reshape the `before_aggregation` action DAG so that it only
|
||||
// needs to provide aggregation keys, and certain children DAG might be substituted by
|
||||
// some keys in projection.
|
||||
candidate.before_aggregation = analysis_result.before_aggregation->clone();
|
||||
auto required_columns = candidate.before_aggregation->foldActionsByProjection(keys, projection.sample_block_for_keys);
|
||||
|
||||
if (required_columns.empty())
|
||||
continue;
|
||||
|
||||
// Attach aggregates
|
||||
candidate.before_aggregation->addAggregatesViaProjection(aggregates);
|
||||
|
||||
if (rewrite_before_where(candidate, projection, required_columns, aggregates))
|
||||
{
|
||||
candidate.required_columns = {required_columns.begin(), required_columns.end()};
|
||||
for (const auto & aggregate : aggregates)
|
||||
candidate.required_columns.push_back(aggregate.name);
|
||||
candidates.push_back(std::move(candidate));
|
||||
}
|
||||
}
|
||||
|
||||
if (projection.type == ProjectionDescription::Type::Normal && (analysis_result.hasWhere() || analysis_result.hasPrewhere()))
|
||||
{
|
||||
NameSet required_columns;
|
||||
if (analysis_result.hasWhere())
|
||||
{
|
||||
for (const auto & column : analysis_result.before_where->getResultColumns())
|
||||
required_columns.insert(column.name);
|
||||
}
|
||||
else
|
||||
{
|
||||
for (const auto & column : analysis_result.prewhere_info->prewhere_actions->getResultColumns())
|
||||
required_columns.insert(column.name);
|
||||
}
|
||||
if (rewrite_before_where(candidate, projection, required_columns, {}))
|
||||
{
|
||||
candidate.required_columns = {required_columns.begin(), required_columns.end()};
|
||||
candidates.push_back(std::move(candidate));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Let's select the best aggregate projection to execute the query.
|
||||
if (!candidates.empty())
|
||||
{
|
||||
size_t min_key_size = std::numeric_limits<size_t>::max();
|
||||
ProjectionCandidate * selected_candidate = nullptr;
|
||||
/// Favor aggregate projections
|
||||
for (auto & candidate : candidates)
|
||||
{
|
||||
// TODO We choose the projection with least key_size. Perhaps we can do better? (key rollups)
|
||||
if (candidate.desc->type == ProjectionDescription::Type::Aggregate && candidate.desc->key_size < min_key_size)
|
||||
{
|
||||
selected_candidate = &candidate;
|
||||
min_key_size = candidate.desc->key_size;
|
||||
}
|
||||
}
|
||||
|
||||
/// TODO Select the best normal projection if no aggregate projection is available
|
||||
if (!selected_candidate)
|
||||
{
|
||||
for (auto & candidate : candidates)
|
||||
selected_candidate = &candidate;
|
||||
}
|
||||
|
||||
if (!selected_candidate)
|
||||
return false;
|
||||
|
||||
if (selected_candidate->desc->type == ProjectionDescription::Type::Aggregate)
|
||||
{
|
||||
selected_candidate->aggregation_keys = select.getQueryAnalyzer()->aggregationKeys();
|
||||
selected_candidate->aggregate_descriptions = select.getQueryAnalyzer()->aggregates();
|
||||
}
|
||||
query_info.projection = std::move(*selected_candidate);
|
||||
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
}
|
13
src/Storages/MergeTree/MergeTreeDataUtils.h
Normal file
13
src/Storages/MergeTree/MergeTreeDataUtils.h
Normal file
@ -0,0 +1,13 @@
|
||||
#pragma once
|
||||
|
||||
#include <Interpreters/Context_fwd.h>
|
||||
#include <Storages/SelectQueryInfo.h>
|
||||
#include <Storages/StorageInMemoryMetadata.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
bool getQueryProcessingStageWithAggregateProjection(
|
||||
ContextPtr query_context, const StorageMetadataPtr & metadata_snapshot, SelectQueryInfo & query_info);
|
||||
|
||||
}
|
@ -23,7 +23,6 @@ MergeTreeReverseSelectProcessor::MergeTreeReverseSelectProcessor(
|
||||
MarkRanges mark_ranges_,
|
||||
bool use_uncompressed_cache_,
|
||||
const PrewhereInfoPtr & prewhere_info_,
|
||||
const ProjectionDescription * projection_,
|
||||
bool check_columns,
|
||||
const MergeTreeReaderSettings & reader_settings_,
|
||||
const Names & virt_column_names_,
|
||||
@ -32,7 +31,7 @@ MergeTreeReverseSelectProcessor::MergeTreeReverseSelectProcessor(
|
||||
:
|
||||
MergeTreeBaseSelectProcessor{
|
||||
metadata_snapshot_->getSampleBlockForColumns(required_columns_, storage_.getVirtuals(), storage_.getStorageID()),
|
||||
storage_, metadata_snapshot_, prewhere_info_, projection_, max_block_size_rows_,
|
||||
storage_, metadata_snapshot_, prewhere_info_, max_block_size_rows_,
|
||||
preferred_block_size_bytes_, preferred_max_column_in_block_size_bytes_,
|
||||
reader_settings_, use_uncompressed_cache_, virt_column_names_},
|
||||
required_columns{std::move(required_columns_)},
|
||||
|
@ -27,7 +27,6 @@ public:
|
||||
MarkRanges mark_ranges,
|
||||
bool use_uncompressed_cache,
|
||||
const PrewhereInfoPtr & prewhere_info,
|
||||
const ProjectionDescription * projection_,
|
||||
bool check_columns,
|
||||
const MergeTreeReaderSettings & reader_settings,
|
||||
const Names & virt_column_names = {},
|
||||
|
@ -23,7 +23,6 @@ MergeTreeSelectProcessor::MergeTreeSelectProcessor(
|
||||
MarkRanges mark_ranges_,
|
||||
bool use_uncompressed_cache_,
|
||||
const PrewhereInfoPtr & prewhere_info_,
|
||||
const ProjectionDescription * projection_,
|
||||
bool check_columns_,
|
||||
const MergeTreeReaderSettings & reader_settings_,
|
||||
const Names & virt_column_names_,
|
||||
@ -32,7 +31,7 @@ MergeTreeSelectProcessor::MergeTreeSelectProcessor(
|
||||
:
|
||||
MergeTreeBaseSelectProcessor{
|
||||
metadata_snapshot_->getSampleBlockForColumns(required_columns_, storage_.getVirtuals(), storage_.getStorageID()),
|
||||
storage_, metadata_snapshot_, prewhere_info_, projection_, max_block_size_rows_,
|
||||
storage_, metadata_snapshot_, prewhere_info_, max_block_size_rows_,
|
||||
preferred_block_size_bytes_, preferred_max_column_in_block_size_bytes_,
|
||||
reader_settings_, use_uncompressed_cache_, virt_column_names_},
|
||||
required_columns{std::move(required_columns_)},
|
||||
|
@ -27,7 +27,6 @@ public:
|
||||
MarkRanges mark_ranges,
|
||||
bool use_uncompressed_cache,
|
||||
const PrewhereInfoPtr & prewhere_info,
|
||||
const ProjectionDescription * projection_,
|
||||
bool check_columns,
|
||||
const MergeTreeReaderSettings & reader_settings,
|
||||
const Names & virt_column_names = {},
|
||||
|
@ -19,13 +19,11 @@ MergeTreeThreadSelectBlockInputProcessor::MergeTreeThreadSelectBlockInputProcess
|
||||
const StorageMetadataPtr & metadata_snapshot_,
|
||||
const bool use_uncompressed_cache_,
|
||||
const PrewhereInfoPtr & prewhere_info_,
|
||||
const ProjectionDescription * projection_,
|
||||
const MergeTreeReaderSettings & reader_settings_,
|
||||
const Names & virt_column_names_)
|
||||
:
|
||||
MergeTreeBaseSelectProcessor{
|
||||
pool_->getHeader(), storage_, metadata_snapshot_, prewhere_info_, projection_,
|
||||
max_block_size_rows_,
|
||||
pool_->getHeader(), storage_, metadata_snapshot_, prewhere_info_, max_block_size_rows_,
|
||||
preferred_block_size_bytes_, preferred_max_column_in_block_size_bytes_,
|
||||
reader_settings_, use_uncompressed_cache_, virt_column_names_},
|
||||
thread{thread_},
|
||||
|
@ -25,7 +25,6 @@ public:
|
||||
const StorageMetadataPtr & metadata_snapshot_,
|
||||
const bool use_uncompressed_cache_,
|
||||
const PrewhereInfoPtr & prewhere_info_,
|
||||
const ProjectionDescription * projection_,
|
||||
const MergeTreeReaderSettings & reader_settings_,
|
||||
const Names & virt_column_names_);
|
||||
|
||||
|
@ -69,6 +69,7 @@ ProjectionDescription ProjectionDescription::clone() const
|
||||
other.column_names = column_names;
|
||||
other.data_types = data_types;
|
||||
other.sample_block = sample_block;
|
||||
other.sample_block_for_keys = sample_block_for_keys;
|
||||
other.metadata = metadata;
|
||||
other.key_size = key_size;
|
||||
|
||||
@ -135,6 +136,13 @@ ProjectionDescription::getProjectionFromAST(const ASTPtr & definition_ast, const
|
||||
result.required_columns = select.getRequiredColumns();
|
||||
result.sample_block = select.getSampleBlock();
|
||||
|
||||
const auto & analysis_result = select.getAnalysisResult();
|
||||
if (analysis_result.need_aggregate)
|
||||
{
|
||||
for (const auto & key : select.getQueryAnalyzer()->aggregationKeys())
|
||||
result.sample_block_for_keys.insert({nullptr, key.type, key.name});
|
||||
}
|
||||
|
||||
for (size_t i = 0; i < result.sample_block.columns(); ++i)
|
||||
{
|
||||
const auto & column_with_type_name = result.sample_block.getByPosition(i);
|
||||
|
@ -56,6 +56,8 @@ struct ProjectionDescription
|
||||
/// Sample block with projection columns. (NOTE: columns in block are empty, but not nullptr)
|
||||
Block sample_block;
|
||||
|
||||
Block sample_block_for_keys;
|
||||
|
||||
StorageMetadataPtr metadata;
|
||||
|
||||
size_t key_size = 0;
|
||||
|
@ -116,6 +116,18 @@ struct InputOrderInfo
|
||||
|
||||
class IMergeTreeDataPart;
|
||||
|
||||
// The projection selected to execute current query
|
||||
struct ProjectionCandidate
|
||||
{
|
||||
const ProjectionDescription * desc;
|
||||
PrewhereInfoPtr prewhere_info;
|
||||
ActionsDAGPtr before_where;
|
||||
ActionsDAGPtr before_aggregation;
|
||||
Names required_columns;
|
||||
NamesAndTypesList aggregation_keys;
|
||||
AggregateDescriptions aggregate_descriptions;
|
||||
};
|
||||
|
||||
/** Query along with some additional data,
|
||||
* that can be used during query processing
|
||||
* inside storage engines.
|
||||
@ -148,21 +160,8 @@ struct SelectQueryInfo
|
||||
ClusterPtr getCluster() const { return !optimized_cluster ? cluster : optimized_cluster; }
|
||||
|
||||
/// If not null, it means we choose a projection to execute current query.
|
||||
const ProjectionDescription * projection{};
|
||||
ProjectionKeyActions key_actions;
|
||||
Names projection_names;
|
||||
Block projection_block;
|
||||
NamesAndTypesList aggregation_keys;
|
||||
AggregateDescriptions aggregate_descriptions;
|
||||
std::optional<ProjectionCandidate> projection;
|
||||
bool ignore_projections = false;
|
||||
|
||||
/// TODO Store to-be-scanned data parts if some aggregate projection is used
|
||||
using DataPart = IMergeTreeDataPart;
|
||||
using DataPartPtr = std::shared_ptr<const DataPart>;
|
||||
using DataPartsVector = std::vector<DataPartPtr>;
|
||||
DataPartsVector projection_parts;
|
||||
DataPartsVector parent_parts;
|
||||
DataPartsVector normal_parts;
|
||||
};
|
||||
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user