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support prewhere, row_filter, read_in_order and decent projection selection
TODO set index analysis in projection
This commit is contained in:
parent
f7f949c1f9
commit
9c069ebdbf
@ -477,6 +477,11 @@ InterpreterSelectQuery::InterpreterSelectQuery(
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}
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}
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addPrewhereAliasActions();
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query_info.syntax_analyzer_result = syntax_analyzer_result;
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query_info.required_columns = required_columns;
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source_header = metadata_snapshot->getSampleBlockForColumns(required_columns, storage->getVirtuals(), storage->getStorageID());
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}
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@ -589,6 +594,7 @@ Block InterpreterSelectQuery::getSampleBlockImpl()
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{
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from_stage = storage->getQueryProcessingStage(context, options.to_stage, metadata_snapshot, query_info);
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/// TODO how can we make IN index work if we cache parts before selecting a projection?
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/// XXX Used for IN set index analysis. Is this a proper way?
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if (query_info.projection)
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metadata_snapshot->selected_projection = query_info.projection->desc;
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@ -1043,7 +1049,10 @@ void InterpreterSelectQuery::executeImpl(QueryPlan & query_plan, const BlockInpu
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&& !expressions.has_window)
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{
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if (expressions.has_order_by)
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executeOrder(query_plan, query_info.input_order_info);
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executeOrder(
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query_plan,
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query_info.input_order_info ? query_info.input_order_info
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: (query_info.projection ? query_info.projection->input_order_info : nullptr));
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if (expressions.has_order_by && query.limitLength())
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executeDistinct(query_plan, false, expressions.selected_columns, true);
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@ -1169,9 +1178,24 @@ void InterpreterSelectQuery::executeImpl(QueryPlan & query_plan, const BlockInpu
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if (expressions.need_aggregate)
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{
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executeAggregation(query_plan, expressions.before_aggregation, aggregate_overflow_row, aggregate_final, query_info.input_order_info);
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/// We need to reset input order info, so that executeOrder can't use it
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query_info.input_order_info.reset();
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if (query_info.projection)
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{
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executeAggregation(
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query_plan,
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expressions.before_aggregation,
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aggregate_overflow_row,
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aggregate_final,
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query_info.projection->input_order_info);
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/// We need to reset input order info, so that executeOrder can't use it
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query_info.projection->input_order_info.reset();
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}
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else
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{
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executeAggregation(
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query_plan, expressions.before_aggregation, aggregate_overflow_row, aggregate_final, query_info.input_order_info);
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/// We need to reset input order info, so that executeOrder can't use it
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query_info.input_order_info.reset();
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}
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}
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// Now we must execute:
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@ -1301,7 +1325,10 @@ void InterpreterSelectQuery::executeImpl(QueryPlan & query_plan, const BlockInpu
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else if (!expressions.first_stage && !expressions.need_aggregate && !(query.group_by_with_totals && !aggregate_final))
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executeMergeSorted(query_plan, "for ORDER BY");
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else /// Otherwise, just sort.
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executeOrder(query_plan, query_info.input_order_info);
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executeOrder(
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query_plan,
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query_info.input_order_info ? query_info.input_order_info
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: (query_info.projection ? query_info.projection->input_order_info : nullptr));
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}
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/** Optimization - if there are several sources and there is LIMIT, then first apply the preliminary LIMIT,
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@ -1485,13 +1512,168 @@ void InterpreterSelectQuery::addEmptySourceToQueryPlan(
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query_plan.addStep(std::move(read_from_pipe));
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}
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void InterpreterSelectQuery::addPrewhereAliasActions()
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{
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auto & prewhere_info = analysis_result.prewhere_info;
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auto & columns_to_remove_after_prewhere = analysis_result.columns_to_remove_after_prewhere;
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/// Detect, if ALIAS columns are required for query execution
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auto alias_columns_required = false;
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const ColumnsDescription & storage_columns = metadata_snapshot->getColumns();
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for (const auto & column_name : required_columns)
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{
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auto column_default = storage_columns.getDefault(column_name);
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if (column_default && column_default->kind == ColumnDefaultKind::Alias)
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{
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alias_columns_required = true;
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break;
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}
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}
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/// There are multiple sources of required columns:
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/// - raw required columns,
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/// - columns deduced from ALIAS columns,
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/// - raw required columns from PREWHERE,
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/// - columns deduced from ALIAS columns from PREWHERE.
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/// PREWHERE is a special case, since we need to resolve it and pass directly to `IStorage::read()`
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/// before any other executions.
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if (alias_columns_required)
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{
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NameSet required_columns_from_prewhere; /// Set of all (including ALIAS) required columns for PREWHERE
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NameSet required_aliases_from_prewhere; /// Set of ALIAS required columns for PREWHERE
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if (prewhere_info)
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{
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/// Get some columns directly from PREWHERE expression actions
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auto prewhere_required_columns = prewhere_info->prewhere_actions->getRequiredColumns().getNames();
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required_columns_from_prewhere.insert(prewhere_required_columns.begin(), prewhere_required_columns.end());
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if (prewhere_info->row_level_filter_actions)
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{
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auto row_level_required_columns = prewhere_info->row_level_filter_actions->getRequiredColumns().getNames();
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required_columns_from_prewhere.insert(row_level_required_columns.begin(), row_level_required_columns.end());
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}
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}
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/// Expression, that contains all raw required columns
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ASTPtr required_columns_all_expr = std::make_shared<ASTExpressionList>();
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/// Expression, that contains raw required columns for PREWHERE
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ASTPtr required_columns_from_prewhere_expr = std::make_shared<ASTExpressionList>();
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/// Sort out already known required columns between expressions,
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/// also populate `required_aliases_from_prewhere`.
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for (const auto & column : required_columns)
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{
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ASTPtr column_expr;
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const auto column_default = storage_columns.getDefault(column);
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bool is_alias = column_default && column_default->kind == ColumnDefaultKind::Alias;
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if (is_alias)
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{
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auto column_decl = storage_columns.get(column);
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column_expr = column_default->expression->clone();
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// recursive visit for alias to alias
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replaceAliasColumnsInQuery(
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column_expr, metadata_snapshot->getColumns(), syntax_analyzer_result->getArrayJoinSourceNameSet(), context);
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column_expr = addTypeConversionToAST(
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std::move(column_expr), column_decl.type->getName(), metadata_snapshot->getColumns().getAll(), context);
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column_expr = setAlias(column_expr, column);
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}
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else
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column_expr = std::make_shared<ASTIdentifier>(column);
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if (required_columns_from_prewhere.count(column))
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{
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required_columns_from_prewhere_expr->children.emplace_back(std::move(column_expr));
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if (is_alias)
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required_aliases_from_prewhere.insert(column);
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}
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else
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required_columns_all_expr->children.emplace_back(std::move(column_expr));
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}
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/// Columns, which we will get after prewhere and filter executions.
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NamesAndTypesList required_columns_after_prewhere;
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NameSet required_columns_after_prewhere_set;
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/// Collect required columns from prewhere expression actions.
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if (prewhere_info)
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{
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NameSet columns_to_remove(columns_to_remove_after_prewhere.begin(), columns_to_remove_after_prewhere.end());
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Block prewhere_actions_result = prewhere_info->prewhere_actions->getResultColumns();
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/// Populate required columns with the columns, added by PREWHERE actions and not removed afterwards.
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/// XXX: looks hacky that we already know which columns after PREWHERE we won't need for sure.
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for (const auto & column : prewhere_actions_result)
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{
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if (prewhere_info->remove_prewhere_column && column.name == prewhere_info->prewhere_column_name)
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continue;
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if (columns_to_remove.count(column.name))
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continue;
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required_columns_all_expr->children.emplace_back(std::make_shared<ASTIdentifier>(column.name));
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required_columns_after_prewhere.emplace_back(column.name, column.type);
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}
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required_columns_after_prewhere_set
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= ext::map<NameSet>(required_columns_after_prewhere, [](const auto & it) { return it.name; });
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}
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auto syntax_result
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= TreeRewriter(context).analyze(required_columns_all_expr, required_columns_after_prewhere, storage, metadata_snapshot);
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alias_actions = ExpressionAnalyzer(required_columns_all_expr, syntax_result, context).getActionsDAG(true);
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/// The set of required columns could be added as a result of adding an action to calculate ALIAS.
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required_columns = alias_actions->getRequiredColumns().getNames();
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/// Do not remove prewhere filter if it is a column which is used as alias.
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if (prewhere_info && prewhere_info->remove_prewhere_column)
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if (required_columns.end() != std::find(required_columns.begin(), required_columns.end(), prewhere_info->prewhere_column_name))
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prewhere_info->remove_prewhere_column = false;
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/// Remove columns which will be added by prewhere.
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required_columns.erase(
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std::remove_if(
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required_columns.begin(),
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required_columns.end(),
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[&](const String & name) { return required_columns_after_prewhere_set.count(name) != 0; }),
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required_columns.end());
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if (prewhere_info)
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{
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/// Don't remove columns which are needed to be aliased.
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for (const auto & name : required_columns)
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prewhere_info->prewhere_actions->tryRestoreColumn(name);
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auto analyzed_result
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= TreeRewriter(context).analyze(required_columns_from_prewhere_expr, metadata_snapshot->getColumns().getAllPhysical());
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prewhere_info->alias_actions
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= ExpressionAnalyzer(required_columns_from_prewhere_expr, analyzed_result, context).getActionsDAG(true, false);
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/// Add (physical?) columns required by alias actions.
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auto required_columns_from_alias = prewhere_info->alias_actions->getRequiredColumns();
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Block prewhere_actions_result = prewhere_info->prewhere_actions->getResultColumns();
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for (auto & column : required_columns_from_alias)
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if (!prewhere_actions_result.has(column.name))
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if (required_columns.end() == std::find(required_columns.begin(), required_columns.end(), column.name))
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required_columns.push_back(column.name);
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/// Add physical columns required by prewhere actions.
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for (const auto & column : required_columns_from_prewhere)
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if (required_aliases_from_prewhere.count(column) == 0)
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if (required_columns.end() == std::find(required_columns.begin(), required_columns.end(), column))
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required_columns.push_back(column);
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}
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}
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}
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void InterpreterSelectQuery::executeFetchColumns(QueryProcessingStage::Enum processing_stage, QueryPlan & query_plan)
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{
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auto & query = getSelectQuery();
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const Settings & settings = context->getSettingsRef();
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auto & expressions = analysis_result;
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auto & prewhere_info = expressions.prewhere_info;
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auto & columns_to_remove_after_prewhere = expressions.columns_to_remove_after_prewhere;
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/// Optimization for trivial query like SELECT count() FROM table.
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bool optimize_trivial_count =
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@ -1560,160 +1742,6 @@ void InterpreterSelectQuery::executeFetchColumns(QueryProcessingStage::Enum proc
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}
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}
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/// Actions to calculate ALIAS if required.
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ActionsDAGPtr alias_actions;
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if (storage)
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{
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/// Detect, if ALIAS columns are required for query execution
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auto alias_columns_required = false;
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const ColumnsDescription & storage_columns = metadata_snapshot->getColumns();
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for (const auto & column_name : required_columns)
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{
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auto column_default = storage_columns.getDefault(column_name);
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if (column_default && column_default->kind == ColumnDefaultKind::Alias)
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{
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alias_columns_required = true;
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break;
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}
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}
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/// There are multiple sources of required columns:
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/// - raw required columns,
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/// - columns deduced from ALIAS columns,
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/// - raw required columns from PREWHERE,
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/// - columns deduced from ALIAS columns from PREWHERE.
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/// PREWHERE is a special case, since we need to resolve it and pass directly to `IStorage::read()`
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/// before any other executions.
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if (alias_columns_required)
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{
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NameSet required_columns_from_prewhere; /// Set of all (including ALIAS) required columns for PREWHERE
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NameSet required_aliases_from_prewhere; /// Set of ALIAS required columns for PREWHERE
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if (prewhere_info)
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{
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/// Get some columns directly from PREWHERE expression actions
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auto prewhere_required_columns = prewhere_info->prewhere_actions->getRequiredColumns().getNames();
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required_columns_from_prewhere.insert(prewhere_required_columns.begin(), prewhere_required_columns.end());
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if (prewhere_info->row_level_filter_actions)
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{
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auto row_level_required_columns = prewhere_info->row_level_filter_actions->getRequiredColumns().getNames();
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required_columns_from_prewhere.insert(row_level_required_columns.begin(), row_level_required_columns.end());
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}
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}
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/// Expression, that contains all raw required columns
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ASTPtr required_columns_all_expr = std::make_shared<ASTExpressionList>();
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/// Expression, that contains raw required columns for PREWHERE
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ASTPtr required_columns_from_prewhere_expr = std::make_shared<ASTExpressionList>();
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/// Sort out already known required columns between expressions,
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/// also populate `required_aliases_from_prewhere`.
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for (const auto & column : required_columns)
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{
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ASTPtr column_expr;
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const auto column_default = storage_columns.getDefault(column);
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bool is_alias = column_default && column_default->kind == ColumnDefaultKind::Alias;
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if (is_alias)
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{
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auto column_decl = storage_columns.get(column);
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column_expr = column_default->expression->clone();
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// recursive visit for alias to alias
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replaceAliasColumnsInQuery(column_expr, metadata_snapshot->getColumns(), syntax_analyzer_result->getArrayJoinSourceNameSet(), context);
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column_expr = addTypeConversionToAST(std::move(column_expr), column_decl.type->getName(), metadata_snapshot->getColumns().getAll(), context);
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column_expr = setAlias(column_expr, column);
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}
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else
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column_expr = std::make_shared<ASTIdentifier>(column);
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if (required_columns_from_prewhere.count(column))
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{
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required_columns_from_prewhere_expr->children.emplace_back(std::move(column_expr));
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if (is_alias)
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required_aliases_from_prewhere.insert(column);
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}
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else
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required_columns_all_expr->children.emplace_back(std::move(column_expr));
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}
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/// Columns, which we will get after prewhere and filter executions.
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NamesAndTypesList required_columns_after_prewhere;
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NameSet required_columns_after_prewhere_set;
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/// Collect required columns from prewhere expression actions.
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if (prewhere_info)
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{
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NameSet columns_to_remove(columns_to_remove_after_prewhere.begin(), columns_to_remove_after_prewhere.end());
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Block prewhere_actions_result = prewhere_info->prewhere_actions->getResultColumns();
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/// Populate required columns with the columns, added by PREWHERE actions and not removed afterwards.
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/// XXX: looks hacky that we already know which columns after PREWHERE we won't need for sure.
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for (const auto & column : prewhere_actions_result)
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{
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if (prewhere_info->remove_prewhere_column && column.name == prewhere_info->prewhere_column_name)
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continue;
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if (columns_to_remove.count(column.name))
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continue;
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required_columns_all_expr->children.emplace_back(std::make_shared<ASTIdentifier>(column.name));
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required_columns_after_prewhere.emplace_back(column.name, column.type);
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}
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required_columns_after_prewhere_set
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= ext::map<NameSet>(required_columns_after_prewhere, [](const auto & it) { return it.name; });
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}
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auto syntax_result = TreeRewriter(context).analyze(required_columns_all_expr, required_columns_after_prewhere, storage, metadata_snapshot);
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alias_actions = ExpressionAnalyzer(required_columns_all_expr, syntax_result, context).getActionsDAG(true);
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/// The set of required columns could be added as a result of adding an action to calculate ALIAS.
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required_columns = alias_actions->getRequiredColumns().getNames();
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/// Do not remove prewhere filter if it is a column which is used as alias.
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if (prewhere_info && prewhere_info->remove_prewhere_column)
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if (required_columns.end()
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!= std::find(required_columns.begin(), required_columns.end(), prewhere_info->prewhere_column_name))
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prewhere_info->remove_prewhere_column = false;
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/// Remove columns which will be added by prewhere.
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required_columns.erase(std::remove_if(required_columns.begin(), required_columns.end(), [&](const String & name)
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{
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return required_columns_after_prewhere_set.count(name) != 0;
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}), required_columns.end());
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if (prewhere_info)
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{
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/// Don't remove columns which are needed to be aliased.
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for (const auto & name : required_columns)
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prewhere_info->prewhere_actions->tryRestoreColumn(name);
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auto analyzed_result
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= TreeRewriter(context).analyze(required_columns_from_prewhere_expr, metadata_snapshot->getColumns().getAllPhysical());
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prewhere_info->alias_actions
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= ExpressionAnalyzer(required_columns_from_prewhere_expr, analyzed_result, context).getActionsDAG(true, false);
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/// Add (physical?) columns required by alias actions.
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auto required_columns_from_alias = prewhere_info->alias_actions->getRequiredColumns();
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Block prewhere_actions_result = prewhere_info->prewhere_actions->getResultColumns();
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for (auto & column : required_columns_from_alias)
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if (!prewhere_actions_result.has(column.name))
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if (required_columns.end() == std::find(required_columns.begin(), required_columns.end(), column.name))
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required_columns.push_back(column.name);
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/// Add physical columns required by prewhere actions.
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for (const auto & column : required_columns_from_prewhere)
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if (required_aliases_from_prewhere.count(column) == 0)
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if (required_columns.end() == std::find(required_columns.begin(), required_columns.end(), column))
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required_columns.push_back(column);
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}
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}
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}
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/// Limitation on the number of columns to read.
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/// It's not applied in 'only_analyze' mode, because the query could be analyzed without removal of unnecessary columns.
|
||||
if (!options.only_analyze && settings.max_columns_to_read && required_columns.size() > settings.max_columns_to_read)
|
||||
@ -1804,9 +1832,10 @@ void InterpreterSelectQuery::executeFetchColumns(QueryProcessingStage::Enum proc
|
||||
if (max_streams > 1 && !is_remote)
|
||||
max_streams *= settings.max_streams_to_max_threads_ratio;
|
||||
|
||||
query_info.syntax_analyzer_result = syntax_analyzer_result;
|
||||
// TODO figure out how to make set for projections
|
||||
query_info.sets = query_analyzer->getPreparedSets();
|
||||
auto actions_settings = ExpressionActionsSettings::fromContext(context);
|
||||
auto & prewhere_info = analysis_result.prewhere_info;
|
||||
|
||||
if (prewhere_info)
|
||||
{
|
||||
@ -1828,20 +1857,46 @@ void InterpreterSelectQuery::executeFetchColumns(QueryProcessingStage::Enum proc
|
||||
|
||||
/// Create optimizer with prepared actions.
|
||||
/// Maybe we will need to calc input_order_info later, e.g. while reading from StorageMerge.
|
||||
if ((analysis_result.optimize_read_in_order || analysis_result.optimize_aggregation_in_order) && !query_info.projection)
|
||||
if ((analysis_result.optimize_read_in_order || analysis_result.optimize_aggregation_in_order)
|
||||
&& (!query_info.projection || query_info.projection->complete))
|
||||
{
|
||||
if (analysis_result.optimize_read_in_order)
|
||||
query_info.order_optimizer = std::make_shared<ReadInOrderOptimizer>(
|
||||
analysis_result.order_by_elements_actions,
|
||||
getSortDescription(query, context),
|
||||
query_info.syntax_analyzer_result);
|
||||
{
|
||||
if (query_info.projection)
|
||||
{
|
||||
query_info.projection->order_optimizer = std::make_shared<ReadInOrderOptimizer>(
|
||||
// TODO Do we need a projection variant for this field?
|
||||
analysis_result.order_by_elements_actions,
|
||||
getSortDescription(query, context),
|
||||
query_info.syntax_analyzer_result);
|
||||
}
|
||||
else
|
||||
{
|
||||
query_info.order_optimizer = std::make_shared<ReadInOrderOptimizer>(
|
||||
analysis_result.order_by_elements_actions, getSortDescription(query, context), query_info.syntax_analyzer_result);
|
||||
}
|
||||
}
|
||||
else
|
||||
query_info.order_optimizer = std::make_shared<ReadInOrderOptimizer>(
|
||||
analysis_result.group_by_elements_actions,
|
||||
getSortDescriptionFromGroupBy(query),
|
||||
query_info.syntax_analyzer_result);
|
||||
{
|
||||
if (query_info.projection)
|
||||
{
|
||||
query_info.projection->order_optimizer = std::make_shared<ReadInOrderOptimizer>(
|
||||
query_info.projection->group_by_elements_actions,
|
||||
getSortDescriptionFromGroupBy(query),
|
||||
query_info.syntax_analyzer_result);
|
||||
}
|
||||
else
|
||||
{
|
||||
query_info.order_optimizer = std::make_shared<ReadInOrderOptimizer>(
|
||||
analysis_result.group_by_elements_actions, getSortDescriptionFromGroupBy(query), query_info.syntax_analyzer_result);
|
||||
}
|
||||
}
|
||||
|
||||
query_info.input_order_info = query_info.order_optimizer->getInputOrder(metadata_snapshot, context);
|
||||
if (query_info.projection)
|
||||
query_info.projection->input_order_info
|
||||
= query_info.projection->order_optimizer->getInputOrder(query_info.projection->desc->metadata, context);
|
||||
else
|
||||
query_info.input_order_info = query_info.order_optimizer->getInputOrder(metadata_snapshot, context);
|
||||
}
|
||||
|
||||
StreamLocalLimits limits;
|
||||
@ -2504,8 +2559,11 @@ void InterpreterSelectQuery::executeExtremes(QueryPlan & query_plan)
|
||||
|
||||
void InterpreterSelectQuery::executeSubqueriesInSetsAndJoins(QueryPlan & query_plan, SubqueriesForSets & subqueries_for_sets)
|
||||
{
|
||||
if (query_info.input_order_info)
|
||||
executeMergeSorted(query_plan, query_info.input_order_info->order_key_prefix_descr, 0, "before creating sets for subqueries and joins");
|
||||
const auto & input_order_info = query_info.input_order_info
|
||||
? query_info.input_order_info
|
||||
: (query_info.projection ? query_info.projection->input_order_info : nullptr);
|
||||
if (input_order_info)
|
||||
executeMergeSorted(query_plan, input_order_info->order_key_prefix_descr, 0, "before creating sets for subqueries and joins");
|
||||
|
||||
const Settings & settings = context->getSettingsRef();
|
||||
|
||||
|
@ -117,6 +117,8 @@ private:
|
||||
|
||||
ASTSelectQuery & getSelectQuery() { return query_ptr->as<ASTSelectQuery &>(); }
|
||||
|
||||
void addPrewhereAliasActions();
|
||||
|
||||
Block getSampleBlockImpl();
|
||||
|
||||
void executeImpl(QueryPlan & query_plan, const BlockInputStreamPtr & prepared_input, std::optional<Pipe> prepared_pipe);
|
||||
@ -183,6 +185,9 @@ private:
|
||||
/// Structure of query source (table, subquery, etc).
|
||||
Block source_header;
|
||||
|
||||
/// Actions to calculate ALIAS if required.
|
||||
ActionsDAGPtr alias_actions;
|
||||
|
||||
/// The subquery interpreter, if the subquery
|
||||
std::unique_ptr<InterpreterSelectWithUnionQuery> interpreter_subquery;
|
||||
|
||||
|
@ -33,7 +33,6 @@
|
||||
#include <Processors/Formats/InputStreamFromInputFormat.h>
|
||||
#include <Storages/AlterCommands.h>
|
||||
#include <Storages/MergeTree/MergeTreeData.h>
|
||||
#include <Storages/MergeTree/MergeTreeDataUtils.h>
|
||||
#include <Storages/MergeTree/MergeTreeDataPartCompact.h>
|
||||
#include <Storages/MergeTree/MergeTreeDataPartInMemory.h>
|
||||
#include <Storages/MergeTree/MergeTreeDataPartWide.h>
|
||||
@ -3800,6 +3799,358 @@ bool MergeTreeData::mayBenefitFromIndexForIn(
|
||||
}
|
||||
}
|
||||
|
||||
using PartitionIdToMaxBlock = std::unordered_map<String, Int64>;
|
||||
|
||||
static void selectBestProjection(
|
||||
const MergeTreeDataSelectExecutor & reader,
|
||||
const StorageMetadataPtr & metadata_snapshot,
|
||||
const SelectQueryInfo & query_info,
|
||||
ProjectionCandidate & candidate,
|
||||
ContextPtr query_context,
|
||||
const PartitionIdToMaxBlock * max_added_blocks,
|
||||
const Settings & settings,
|
||||
const MergeTreeData::DataPartsVector & parts,
|
||||
ProjectionCandidate *& selected_candidate,
|
||||
size_t & min_sum_marks)
|
||||
{
|
||||
MergeTreeData::DataPartsVector projection_parts;
|
||||
MergeTreeData::DataPartsVector normal_parts;
|
||||
for (const auto & part : parts)
|
||||
{
|
||||
const auto & projections = part->getProjectionParts();
|
||||
auto it = projections.find(candidate.desc->name);
|
||||
if (it != projections.end())
|
||||
projection_parts.push_back(it->second);
|
||||
else
|
||||
normal_parts.push_back(part);
|
||||
}
|
||||
|
||||
if (projection_parts.empty())
|
||||
return;
|
||||
|
||||
candidate.merge_tree_data_select_base_cache = std::make_unique<MergeTreeDataSelectCache>();
|
||||
candidate.merge_tree_data_select_projection_cache = std::make_unique<MergeTreeDataSelectCache>();
|
||||
reader.readFromParts(
|
||||
projection_parts,
|
||||
candidate.required_columns,
|
||||
metadata_snapshot,
|
||||
candidate.desc->metadata,
|
||||
query_info, // TODO syntax_analysis_result set in index
|
||||
query_context,
|
||||
0, // max_block_size is unused when getting cache
|
||||
settings.max_threads,
|
||||
max_added_blocks,
|
||||
candidate.merge_tree_data_select_projection_cache.get());
|
||||
|
||||
size_t sum_marks = candidate.merge_tree_data_select_projection_cache->sum_marks;
|
||||
if (normal_parts.empty())
|
||||
{
|
||||
// All parts are projection parts which allows us to use in_order_optimization.
|
||||
// TODO It might be better to use a complete projection even with more marks to read.
|
||||
candidate.complete = true;
|
||||
}
|
||||
else
|
||||
{
|
||||
reader.readFromParts(
|
||||
normal_parts,
|
||||
query_info.required_columns,
|
||||
metadata_snapshot,
|
||||
metadata_snapshot,
|
||||
query_info, // TODO syntax_analysis_result set in index
|
||||
query_context,
|
||||
0, // max_block_size is unused when getting cache
|
||||
settings.max_threads,
|
||||
max_added_blocks,
|
||||
candidate.merge_tree_data_select_base_cache.get());
|
||||
sum_marks += candidate.merge_tree_data_select_base_cache->sum_marks;
|
||||
}
|
||||
|
||||
// We choose the projection with least sum_marks to read.
|
||||
if (sum_marks < min_sum_marks)
|
||||
{
|
||||
selected_candidate = &candidate;
|
||||
min_sum_marks = sum_marks;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
bool MergeTreeData::getQueryProcessingStageWithAggregateProjection(
|
||||
ContextPtr query_context, const StorageMetadataPtr & metadata_snapshot, SelectQueryInfo & query_info) const
|
||||
{
|
||||
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;
|
||||
|
||||
/// 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;
|
||||
std::unordered_map<std::string_view, size_t> key_name_pos_map;
|
||||
size_t pos = 0;
|
||||
for (const auto & desc : select.getQueryAnalyzer()->aggregationKeys())
|
||||
{
|
||||
keys.insert(desc.name);
|
||||
key_name_pos_map.insert({desc.name, pos++});
|
||||
}
|
||||
auto actions_settings = ExpressionActionsSettings::fromSettings(settings);
|
||||
|
||||
// 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 & source_block, 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 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);
|
||||
}
|
||||
|
||||
// TODO wait for alias analysis to be moved into expression analyzer
|
||||
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());
|
||||
}
|
||||
|
||||
bool match = true;
|
||||
for (const auto & column : required_columns)
|
||||
{
|
||||
/// There are still missing columns, fail to match
|
||||
if (!source_block.has(column))
|
||||
{
|
||||
match = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
return match;
|
||||
};
|
||||
|
||||
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;
|
||||
|
||||
if (analysis_result.optimize_aggregation_in_order)
|
||||
{
|
||||
for (const auto & key : keys)
|
||||
{
|
||||
auto actions_dag = analysis_result.before_aggregation->clone();
|
||||
actions_dag->foldActionsByProjection({key}, projection.sample_block_for_keys);
|
||||
candidate.group_by_elements_actions.emplace_back(std::make_shared<ExpressionActions>(actions_dag, actions_settings));
|
||||
}
|
||||
}
|
||||
|
||||
// Reorder aggregation keys and attach aggregates
|
||||
candidate.before_aggregation->reorderAggregationKeysForProjection(key_name_pos_map);
|
||||
candidate.before_aggregation->addAggregatesViaProjection(aggregates);
|
||||
|
||||
if (rewrite_before_where(candidate, projection, required_columns, projection.sample_block_for_keys, 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()))
|
||||
{
|
||||
// TODO is it possible?
|
||||
if (!analysis_result.before_order_by)
|
||||
continue;
|
||||
|
||||
NameSet required_columns;
|
||||
for (const auto & column : analysis_result.before_order_by->getRequiredColumns())
|
||||
required_columns.insert(column.name);
|
||||
|
||||
if (rewrite_before_where(candidate, projection, required_columns, projection.sample_block, {}))
|
||||
{
|
||||
candidate.required_columns = {required_columns.begin(), required_columns.end()};
|
||||
candidates.push_back(std::move(candidate));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Let's select the best projection to execute the query.
|
||||
if (!candidates.empty())
|
||||
{
|
||||
// First build a MergeTreeDataSelectCache to check if a projection is indeed better than base
|
||||
query_info.merge_tree_data_select_cache = std::make_unique<MergeTreeDataSelectCache>();
|
||||
|
||||
std::unique_ptr<PartitionIdToMaxBlock> max_added_blocks;
|
||||
if (settings.select_sequential_consistency)
|
||||
{
|
||||
if (const StorageReplicatedMergeTree * replicated = dynamic_cast<const StorageReplicatedMergeTree *>(this))
|
||||
max_added_blocks = std::make_unique<PartitionIdToMaxBlock>(replicated->getMaxAddedBlocks());
|
||||
}
|
||||
|
||||
auto parts = getDataPartsVector();
|
||||
MergeTreeDataSelectExecutor reader(*this);
|
||||
reader.readFromParts(
|
||||
parts,
|
||||
query_info.required_columns,
|
||||
metadata_snapshot,
|
||||
metadata_snapshot,
|
||||
query_info, // TODO syntax_analysis_result set in index
|
||||
query_context,
|
||||
0, // max_block_size is unused when getting cache
|
||||
settings.max_threads,
|
||||
max_added_blocks.get(),
|
||||
query_info.merge_tree_data_select_cache.get());
|
||||
|
||||
size_t min_sum_marks = query_info.merge_tree_data_select_cache->sum_marks;
|
||||
ProjectionCandidate * selected_candidate = nullptr;
|
||||
/// Favor aggregate projections
|
||||
for (auto & candidate : candidates)
|
||||
{
|
||||
if (candidate.desc->type == ProjectionDescription::Type::Aggregate)
|
||||
{
|
||||
selectBestProjection(
|
||||
reader,
|
||||
metadata_snapshot,
|
||||
query_info,
|
||||
candidate,
|
||||
query_context,
|
||||
max_added_blocks.get(),
|
||||
settings,
|
||||
parts,
|
||||
selected_candidate,
|
||||
min_sum_marks);
|
||||
}
|
||||
}
|
||||
|
||||
/// Select the best normal projection if no aggregate projection is available
|
||||
if (!selected_candidate)
|
||||
{
|
||||
for (auto & candidate : candidates)
|
||||
{
|
||||
if (candidate.desc->type == ProjectionDescription::Type::Normal)
|
||||
{
|
||||
selectBestProjection(
|
||||
reader,
|
||||
metadata_snapshot,
|
||||
query_info,
|
||||
candidate,
|
||||
query_context,
|
||||
max_added_blocks.get(),
|
||||
settings,
|
||||
parts,
|
||||
selected_candidate,
|
||||
min_sum_marks);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
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;
|
||||
}
|
||||
|
||||
|
||||
QueryProcessingStage::Enum MergeTreeData::getQueryProcessingStage(
|
||||
ContextPtr query_context,
|
||||
|
@ -358,6 +358,9 @@ public:
|
||||
bool attach,
|
||||
BrokenPartCallback broken_part_callback_ = [](const String &){});
|
||||
|
||||
bool getQueryProcessingStageWithAggregateProjection(
|
||||
ContextPtr query_context, const StorageMetadataPtr & metadata_snapshot, SelectQueryInfo & query_info) const;
|
||||
|
||||
QueryProcessingStage::Enum getQueryProcessingStage(
|
||||
ContextPtr query_context,
|
||||
QueryProcessingStage::Enum to_stage,
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -13,6 +13,22 @@ namespace DB
|
||||
|
||||
class KeyCondition;
|
||||
|
||||
struct MergeTreeDataSelectSamplingData
|
||||
{
|
||||
bool use_sampling;
|
||||
std::shared_ptr<ASTFunction> filter_function;
|
||||
ActionsDAGPtr filter_expression;
|
||||
};
|
||||
|
||||
struct MergeTreeDataSelectCache
|
||||
{
|
||||
RangesInDataParts parts_with_ranges;
|
||||
MergeTreeDataSelectSamplingData sampling;
|
||||
std::unique_ptr<ReadFromMergeTree::IndexStats> index_stats;
|
||||
size_t sum_marks = 0;
|
||||
size_t sum_ranges = 0;
|
||||
bool use_cache = false;
|
||||
};
|
||||
|
||||
/** Executes SELECT queries on data from the merge tree.
|
||||
*/
|
||||
@ -36,18 +52,17 @@ public:
|
||||
QueryProcessingStage::Enum processed_stage,
|
||||
const PartitionIdToMaxBlock * max_block_numbers_to_read = nullptr) const;
|
||||
|
||||
|
||||
QueryPlanPtr readFromParts(
|
||||
MergeTreeData::DataPartsVector parts,
|
||||
const Names & column_names,
|
||||
const StorageMetadataPtr & metadata_snapshot_base,
|
||||
const StorageMetadataPtr & metadata_snapshot,
|
||||
const SelectQueryInfo & query_info,
|
||||
ContextPtr context,
|
||||
UInt64 max_block_size,
|
||||
unsigned num_streams,
|
||||
const PartitionIdToMaxBlock * max_block_numbers_to_read = nullptr,
|
||||
size_t * num_granules_to_read = nullptr,
|
||||
bool use_projection_metadata = false) const;
|
||||
MergeTreeDataSelectCache * cache = nullptr) const;
|
||||
|
||||
private:
|
||||
const MergeTreeData & data;
|
||||
@ -83,7 +98,8 @@ private:
|
||||
const Settings & settings,
|
||||
const MergeTreeReaderSettings & reader_settings,
|
||||
ActionsDAGPtr & out_projection,
|
||||
const String & query_id) const;
|
||||
const String & query_id,
|
||||
const InputOrderInfoPtr & input_order_info) const;
|
||||
|
||||
QueryPlanPtr spreadMarkRangesAmongStreamsFinal(
|
||||
RangesInDataParts && parts,
|
||||
|
@ -1,228 +0,0 @@
|
||||
#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;
|
||||
|
||||
/// 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;
|
||||
std::unordered_map<std::string_view, size_t> key_name_pos_map;
|
||||
size_t pos = 0;
|
||||
for (const auto & desc : select.getQueryAnalyzer()->aggregationKeys())
|
||||
{
|
||||
keys.insert(desc.name);
|
||||
key_name_pos_map.insert({desc.name, pos++});
|
||||
}
|
||||
|
||||
// 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 & source_block, 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());
|
||||
}
|
||||
|
||||
bool match = true;
|
||||
for (const auto & column : required_columns)
|
||||
{
|
||||
/// There are still missing columns, fail to match
|
||||
if (!source_block.has(column))
|
||||
{
|
||||
match = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
return match;
|
||||
};
|
||||
|
||||
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;
|
||||
|
||||
// Reorder aggregation keys and attach aggregates
|
||||
candidate.before_aggregation->reorderAggregationKeysForProjection(key_name_pos_map);
|
||||
candidate.before_aggregation->addAggregatesViaProjection(aggregates);
|
||||
|
||||
if (rewrite_before_where(candidate, projection, required_columns, projection.sample_block_for_keys, 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, projection.sample_block, {}))
|
||||
{
|
||||
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;
|
||||
}
|
||||
}
|
@ -1,13 +0,0 @@
|
||||
#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);
|
||||
|
||||
}
|
75
src/Storages/MergeTree/StorageFromBasePartsOfProjection.h
Normal file
75
src/Storages/MergeTree/StorageFromBasePartsOfProjection.h
Normal file
@ -0,0 +1,75 @@
|
||||
#pragma once
|
||||
|
||||
#include <Core/Defines.h>
|
||||
#include <Processors/QueryPipeline.h>
|
||||
#include <Processors/QueryPlan/BuildQueryPipelineSettings.h>
|
||||
#include <Processors/QueryPlan/Optimizations/QueryPlanOptimizationSettings.h>
|
||||
#include <Processors/QueryPlan/QueryPlan.h>
|
||||
#include <Storages/IStorage.h>
|
||||
#include <Storages/MergeTree/IMergeTreeDataPart.h>
|
||||
#include <Storages/MergeTree/MergeTreeDataSelectExecutor.h>
|
||||
|
||||
#include <ext/shared_ptr_helper.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
{
|
||||
/// A Storage that allows reading from a single MergeTree data part.
|
||||
class StorageFromBasePartsOfProjection final : public ext::shared_ptr_helper<StorageFromBasePartsOfProjection>, public IStorage
|
||||
{
|
||||
friend struct ext::shared_ptr_helper<StorageFromBasePartsOfProjection>;
|
||||
|
||||
public:
|
||||
String getName() const override { return "FromBasePartsOfProjection"; }
|
||||
|
||||
Pipe read(
|
||||
const Names & column_names,
|
||||
const StorageMetadataPtr & metadata_snapshot,
|
||||
SelectQueryInfo & query_info,
|
||||
ContextPtr context,
|
||||
QueryProcessingStage::Enum /*processed_stage*/,
|
||||
size_t max_block_size,
|
||||
unsigned num_streams) override
|
||||
{
|
||||
// NOTE: It's used to read normal parts only
|
||||
QueryPlan query_plan = std::move(*MergeTreeDataSelectExecutor(storage).readFromParts(
|
||||
{},
|
||||
column_names,
|
||||
metadata_snapshot,
|
||||
metadata_snapshot,
|
||||
query_info,
|
||||
context,
|
||||
max_block_size,
|
||||
num_streams,
|
||||
nullptr,
|
||||
query_info.projection ? query_info.projection->merge_tree_data_select_base_cache.get()
|
||||
: query_info.merge_tree_data_select_cache.get()));
|
||||
|
||||
return query_plan.convertToPipe(
|
||||
QueryPlanOptimizationSettings::fromContext(context), BuildQueryPipelineSettings::fromContext(context));
|
||||
}
|
||||
|
||||
|
||||
bool supportsIndexForIn() const override { return true; }
|
||||
|
||||
bool mayBenefitFromIndexForIn(
|
||||
const ASTPtr & left_in_operand, ContextPtr query_context, const StorageMetadataPtr & metadata_snapshot) const override
|
||||
{
|
||||
return storage.mayBenefitFromIndexForIn(left_in_operand, query_context, metadata_snapshot);
|
||||
}
|
||||
|
||||
NamesAndTypesList getVirtuals() const override { return storage.getVirtuals(); }
|
||||
|
||||
protected:
|
||||
StorageFromBasePartsOfProjection(const MergeTreeData & storage_, const StorageMetadataPtr & metadata_snapshot)
|
||||
: IStorage(storage_.getStorageID()), storage(storage_)
|
||||
{
|
||||
setInMemoryMetadata(*metadata_snapshot);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
const MergeTreeData & storage;
|
||||
};
|
||||
|
||||
}
|
@ -31,19 +31,23 @@ public:
|
||||
size_t max_block_size,
|
||||
unsigned num_streams) override
|
||||
{
|
||||
// NOTE: It's used to read normal parts only
|
||||
QueryPlan query_plan = std::move(*MergeTreeDataSelectExecutor(parts.front()->storage)
|
||||
.readFromParts(
|
||||
parts,
|
||||
column_names,
|
||||
metadata_snapshot,
|
||||
metadata_snapshot,
|
||||
query_info,
|
||||
context,
|
||||
max_block_size,
|
||||
num_streams,
|
||||
nullptr,
|
||||
&num_granules_from_last_read));
|
||||
query_info.projection ? query_info.projection->merge_tree_data_select_base_cache.get()
|
||||
: query_info.merge_tree_data_select_cache.get()));
|
||||
|
||||
return query_plan.convertToPipe(QueryPlanOptimizationSettings::fromContext(context), BuildQueryPipelineSettings::fromContext(context));
|
||||
return query_plan.convertToPipe(
|
||||
QueryPlanOptimizationSettings::fromContext(context), BuildQueryPipelineSettings::fromContext(context));
|
||||
}
|
||||
|
||||
|
||||
@ -70,8 +74,6 @@ public:
|
||||
return parts.front()->storage.getPartitionIDFromQuery(ast, context);
|
||||
}
|
||||
|
||||
size_t getNumGranulesFromLastRead() const { return num_granules_from_last_read; }
|
||||
|
||||
protected:
|
||||
StorageFromMergeTreeDataPart(const MergeTreeData::DataPartPtr & part_)
|
||||
: IStorage(getIDFromPart(part_))
|
||||
@ -90,8 +92,6 @@ protected:
|
||||
private:
|
||||
MergeTreeData::DataPartsVector parts;
|
||||
|
||||
size_t num_granules_from_last_read = 0;
|
||||
|
||||
static StorageID getIDFromPart(const MergeTreeData::DataPartPtr & part_)
|
||||
{
|
||||
auto table_id = part_->storage.getStorageID();
|
||||
|
@ -116,6 +116,10 @@ struct InputOrderInfo
|
||||
|
||||
class IMergeTreeDataPart;
|
||||
|
||||
using ManyExpressionActions = std::vector<ExpressionActionsPtr>;
|
||||
|
||||
struct MergeTreeDataSelectCache;
|
||||
|
||||
// The projection selected to execute current query
|
||||
struct ProjectionCandidate
|
||||
{
|
||||
@ -126,6 +130,12 @@ struct ProjectionCandidate
|
||||
Names required_columns;
|
||||
NamesAndTypesList aggregation_keys;
|
||||
AggregateDescriptions aggregate_descriptions;
|
||||
bool complete = false;
|
||||
ReadInOrderOptimizerPtr order_optimizer;
|
||||
InputOrderInfoPtr input_order_info;
|
||||
ManyExpressionActions group_by_elements_actions;
|
||||
std::shared_ptr<MergeTreeDataSelectCache> merge_tree_data_select_base_cache;
|
||||
std::shared_ptr<MergeTreeDataSelectCache> merge_tree_data_select_projection_cache;
|
||||
};
|
||||
|
||||
/** Query along with some additional data,
|
||||
@ -159,9 +169,12 @@ struct SelectQueryInfo
|
||||
|
||||
ClusterPtr getCluster() const { return !optimized_cluster ? cluster : optimized_cluster; }
|
||||
|
||||
Names required_columns;
|
||||
|
||||
/// If not null, it means we choose a projection to execute current query.
|
||||
std::optional<ProjectionCandidate> projection;
|
||||
bool ignore_projections = false;
|
||||
std::shared_ptr<MergeTreeDataSelectCache> merge_tree_data_select_cache;
|
||||
};
|
||||
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user