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10b4f3b41f
Previous set of QueryProcessingStage does not allow to do this. But after WithMergeableStateAfterAggregation had been introduced the following queries can be optimized too under optimize_distributed_group_by_sharding_key: - GROUP BY sharding_key LIMIT - GROUP BY sharding_key LIMIT BY - GROUP BY sharding_key ORDER BY And right now it is still not supports: - WITH TOTALS (looks like it can be supported) - WITH ROLLUP (looks like it can be supported) - WITH CUBE - SETTINGS extremes=1 (looks like it can be supported) But will be implemented separatelly. vX: fixes v2: fix WITH * v3: fix extremes v4: fix LIMIT OFFSET (and make a little bit cleaner) v5: fix HAVING v6: fix ORDER BY v7: rebase against 20.7 v8: move out WithMergeableStateAfterAggregation v9: add optimize_distributed_group_by_sharding_key into test names
1892 lines
80 KiB
C++
1892 lines
80 KiB
C++
#include <DataStreams/OneBlockInputStream.h>
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#include <DataStreams/materializeBlock.h>
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#include <DataTypes/DataTypeAggregateFunction.h>
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#include <Parsers/ASTFunction.h>
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#include <Parsers/ASTIdentifier.h>
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#include <Parsers/ASTLiteral.h>
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#include <Parsers/ASTOrderByElement.h>
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#include <Parsers/ASTSelectWithUnionQuery.h>
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#include <Parsers/ASTTablesInSelectQuery.h>
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#include <Parsers/ExpressionListParsers.h>
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#include <Parsers/parseQuery.h>
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#include <Access/AccessFlags.h>
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#include <Interpreters/InterpreterSelectQuery.h>
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#include <Interpreters/InterpreterSelectWithUnionQuery.h>
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#include <Interpreters/InterpreterSetQuery.h>
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#include <Interpreters/evaluateConstantExpression.h>
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#include <Interpreters/convertFieldToType.h>
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#include <Interpreters/addTypeConversionToAST.h>
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#include <Interpreters/ExpressionAnalyzer.h>
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#include <Interpreters/getTableExpressions.h>
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#include <Interpreters/JoinToSubqueryTransformVisitor.h>
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#include <Interpreters/CrossToInnerJoinVisitor.h>
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#include <Interpreters/TableJoin.h>
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#include <Interpreters/HashJoin.h>
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#include <Interpreters/JoinedTables.h>
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#include <Interpreters/QueryAliasesVisitor.h>
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#include <Processors/Pipe.h>
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#include <Processors/Sources/SourceFromInputStream.h>
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#include <Processors/Transforms/ExpressionTransform.h>
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#include <Processors/Transforms/InflatingExpressionTransform.h>
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#include <Processors/Transforms/AggregatingTransform.h>
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#include <Processors/QueryPlan/ArrayJoinStep.h>
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#include <Processors/QueryPlan/ReadFromStorageStep.h>
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#include <Processors/QueryPlan/ExpressionStep.h>
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#include <Processors/QueryPlan/FilterStep.h>
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#include <Processors/QueryPlan/ReadNothingStep.h>
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#include <Processors/QueryPlan/ReadFromPreparedSource.h>
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#include <Processors/QueryPlan/PartialSortingStep.h>
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#include <Processors/QueryPlan/MergeSortingStep.h>
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#include <Processors/QueryPlan/MergingSortedStep.h>
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#include <Processors/QueryPlan/DistinctStep.h>
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#include <Processors/QueryPlan/LimitByStep.h>
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#include <Processors/QueryPlan/LimitStep.h>
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#include <Processors/QueryPlan/MergingAggregatedStep.h>
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#include <Processors/QueryPlan/AddingDelayedSourceStep.h>
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#include <Processors/QueryPlan/AggregatingStep.h>
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#include <Processors/QueryPlan/CreatingSetsStep.h>
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#include <Processors/QueryPlan/TotalsHavingStep.h>
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#include <Processors/QueryPlan/RollupStep.h>
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#include <Processors/QueryPlan/CubeStep.h>
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#include <Processors/QueryPlan/FillingStep.h>
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#include <Processors/QueryPlan/ExtremesStep.h>
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#include <Processors/QueryPlan/OffsetStep.h>
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#include <Processors/QueryPlan/FinishSortingStep.h>
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#include <Processors/QueryPlan/QueryPlan.h>
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#include <Storages/MergeTree/MergeTreeData.h>
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#include <Storages/MergeTree/MergeTreeWhereOptimizer.h>
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#include <Storages/IStorage.h>
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#include <Storages/StorageView.h>
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#include <TableFunctions/ITableFunction.h>
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#include <Functions/IFunction.h>
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#include <Core/Field.h>
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#include <Core/Types.h>
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#include <Columns/Collator.h>
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#include <Common/FieldVisitorsAccurateComparison.h>
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#include <Common/typeid_cast.h>
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#include <Common/checkStackSize.h>
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#include <ext/map.h>
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#include <ext/scope_guard.h>
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#include <memory>
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#include <Processors/QueryPlan/ConvertingStep.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int TOO_DEEP_SUBQUERIES;
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extern const int SAMPLING_NOT_SUPPORTED;
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extern const int ILLEGAL_FINAL;
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extern const int ILLEGAL_PREWHERE;
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extern const int TOO_MANY_COLUMNS;
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extern const int LOGICAL_ERROR;
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extern const int NOT_IMPLEMENTED;
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extern const int PARAMETER_OUT_OF_BOUND;
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extern const int INVALID_LIMIT_EXPRESSION;
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extern const int INVALID_WITH_FILL_EXPRESSION;
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extern const int INVALID_SETTING_VALUE;
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}
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/// Assumes `storage` is set and the table filter (row-level security) is not empty.
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String InterpreterSelectQuery::generateFilterActions(
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ExpressionActionsPtr & actions, const ASTPtr & row_policy_filter, const Names & prerequisite_columns) const
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{
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const auto & db_name = table_id.getDatabaseName();
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const auto & table_name = table_id.getTableName();
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/// TODO: implement some AST builders for this kind of stuff
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ASTPtr query_ast = std::make_shared<ASTSelectQuery>();
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auto * select_ast = query_ast->as<ASTSelectQuery>();
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select_ast->setExpression(ASTSelectQuery::Expression::SELECT, std::make_shared<ASTExpressionList>());
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auto expr_list = select_ast->select();
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// The first column is our filter expression.
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expr_list->children.push_back(row_policy_filter);
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/// Keep columns that are required after the filter actions.
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for (const auto & column_str : prerequisite_columns)
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{
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ParserExpression expr_parser;
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expr_list->children.push_back(parseQuery(expr_parser, column_str, 0, context->getSettingsRef().max_parser_depth));
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}
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select_ast->setExpression(ASTSelectQuery::Expression::TABLES, std::make_shared<ASTTablesInSelectQuery>());
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auto tables = select_ast->tables();
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auto tables_elem = std::make_shared<ASTTablesInSelectQueryElement>();
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auto table_expr = std::make_shared<ASTTableExpression>();
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tables->children.push_back(tables_elem);
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tables_elem->table_expression = table_expr;
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tables_elem->children.push_back(table_expr);
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table_expr->database_and_table_name = createTableIdentifier(db_name, table_name);
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table_expr->children.push_back(table_expr->database_and_table_name);
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/// Using separate expression analyzer to prevent any possible alias injection
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auto syntax_result = TreeRewriter(*context).analyzeSelect(query_ast, TreeRewriterResult({}, storage, metadata_snapshot));
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SelectQueryExpressionAnalyzer analyzer(query_ast, syntax_result, *context, metadata_snapshot);
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actions = analyzer.simpleSelectActions();
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return expr_list->children.at(0)->getColumnName();
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}
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InterpreterSelectQuery::InterpreterSelectQuery(
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const ASTPtr & query_ptr_,
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const Context & context_,
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const SelectQueryOptions & options_,
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const Names & required_result_column_names_)
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: InterpreterSelectQuery(query_ptr_, context_, nullptr, std::nullopt, nullptr, options_, required_result_column_names_)
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{
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}
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InterpreterSelectQuery::InterpreterSelectQuery(
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const ASTPtr & query_ptr_,
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const Context & context_,
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const BlockInputStreamPtr & input_,
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const SelectQueryOptions & options_)
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: InterpreterSelectQuery(query_ptr_, context_, input_, std::nullopt, nullptr, options_.copy().noSubquery())
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{}
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InterpreterSelectQuery::InterpreterSelectQuery(
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const ASTPtr & query_ptr_,
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const Context & context_,
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Pipe input_pipe_,
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const SelectQueryOptions & options_)
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: InterpreterSelectQuery(query_ptr_, context_, nullptr, std::move(input_pipe_), nullptr, options_.copy().noSubquery())
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{}
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InterpreterSelectQuery::InterpreterSelectQuery(
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const ASTPtr & query_ptr_,
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const Context & context_,
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const StoragePtr & storage_,
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const StorageMetadataPtr & metadata_snapshot_,
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const SelectQueryOptions & options_)
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: InterpreterSelectQuery(query_ptr_, context_, nullptr, std::nullopt, storage_, options_.copy().noSubquery(), {}, metadata_snapshot_)
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{}
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InterpreterSelectQuery::~InterpreterSelectQuery() = default;
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/** There are no limits on the maximum size of the result for the subquery.
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* Since the result of the query is not the result of the entire query.
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*/
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static Context getSubqueryContext(const Context & context)
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{
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Context subquery_context = context;
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Settings subquery_settings = context.getSettings();
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subquery_settings.max_result_rows = 0;
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subquery_settings.max_result_bytes = 0;
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/// The calculation of extremes does not make sense and is not necessary (if you do it, then the extremes of the subquery can be taken for whole query).
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subquery_settings.extremes = false;
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subquery_context.setSettings(subquery_settings);
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return subquery_context;
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}
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static void rewriteMultipleJoins(ASTPtr & query, const TablesWithColumns & tables, const String & database, const Settings & settings)
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{
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ASTSelectQuery & select = query->as<ASTSelectQuery &>();
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Aliases aliases;
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if (ASTPtr with = select.with())
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QueryAliasesNoSubqueriesVisitor(aliases).visit(with);
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QueryAliasesNoSubqueriesVisitor(aliases).visit(select.select());
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CrossToInnerJoinVisitor::Data cross_to_inner{tables, aliases, database};
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CrossToInnerJoinVisitor(cross_to_inner).visit(query);
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size_t rewriter_version = settings.multiple_joins_rewriter_version;
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if (!rewriter_version || rewriter_version > 2)
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throw Exception("Bad multiple_joins_rewriter_version setting value: " + settings.multiple_joins_rewriter_version.toString(),
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ErrorCodes::INVALID_SETTING_VALUE);
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JoinToSubqueryTransformVisitor::Data join_to_subs_data{tables, aliases, rewriter_version};
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JoinToSubqueryTransformVisitor(join_to_subs_data).visit(query);
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}
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InterpreterSelectQuery::InterpreterSelectQuery(
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const ASTPtr & query_ptr_,
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const Context & context_,
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const BlockInputStreamPtr & input_,
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std::optional<Pipe> input_pipe_,
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const StoragePtr & storage_,
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const SelectQueryOptions & options_,
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const Names & required_result_column_names,
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const StorageMetadataPtr & metadata_snapshot_)
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: options(options_)
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/// NOTE: the query almost always should be cloned because it will be modified during analysis.
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, query_ptr(options.modify_inplace ? query_ptr_ : query_ptr_->clone())
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, context(std::make_shared<Context>(context_))
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, storage(storage_)
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, input(input_)
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, input_pipe(std::move(input_pipe_))
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, log(&Poco::Logger::get("InterpreterSelectQuery"))
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, metadata_snapshot(metadata_snapshot_)
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{
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checkStackSize();
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initSettings();
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const Settings & settings = context->getSettingsRef();
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if (settings.max_subquery_depth && options.subquery_depth > settings.max_subquery_depth)
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throw Exception("Too deep subqueries. Maximum: " + settings.max_subquery_depth.toString(),
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ErrorCodes::TOO_DEEP_SUBQUERIES);
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bool has_input = input || input_pipe;
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if (input)
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{
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/// Read from prepared input.
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source_header = input->getHeader();
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}
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else if (input_pipe)
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{
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/// Read from prepared input.
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source_header = input_pipe->getHeader();
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}
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JoinedTables joined_tables(getSubqueryContext(*context), getSelectQuery());
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if (!has_input && !storage)
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storage = joined_tables.getLeftTableStorage();
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if (storage)
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{
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table_lock = storage->lockForShare(context->getInitialQueryId(), context->getSettingsRef().lock_acquire_timeout);
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table_id = storage->getStorageID();
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if (metadata_snapshot == nullptr)
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metadata_snapshot = storage->getInMemoryMetadataPtr();
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}
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if (has_input || !joined_tables.resolveTables())
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joined_tables.makeFakeTable(storage, metadata_snapshot, source_header);
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/// Rewrite JOINs
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if (!has_input && joined_tables.tablesCount() > 1)
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{
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rewriteMultipleJoins(query_ptr, joined_tables.tablesWithColumns(), context->getCurrentDatabase(), settings);
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joined_tables.reset(getSelectQuery());
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joined_tables.resolveTables();
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if (storage && joined_tables.isLeftTableSubquery())
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{
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/// Rewritten with subquery. Free storage locks here.
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storage = {};
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table_lock.reset();
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table_id = StorageID::createEmpty();
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}
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}
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if (!has_input)
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{
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interpreter_subquery = joined_tables.makeLeftTableSubquery(options.subquery());
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if (interpreter_subquery)
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source_header = interpreter_subquery->getSampleBlock();
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}
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joined_tables.rewriteDistributedInAndJoins(query_ptr);
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max_streams = settings.max_threads;
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ASTSelectQuery & query = getSelectQuery();
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std::shared_ptr<TableJoin> table_join = joined_tables.makeTableJoin(query);
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ASTPtr row_policy_filter;
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if (storage)
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row_policy_filter = context->getRowPolicyCondition(table_id.getDatabaseName(), table_id.getTableName(), RowPolicy::SELECT_FILTER);
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StorageView * view = nullptr;
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if (storage)
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view = dynamic_cast<StorageView *>(storage.get());
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auto analyze = [&] (bool try_move_to_prewhere)
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{
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/// Allow push down and other optimizations for VIEW: replace with subquery and rewrite it.
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ASTPtr view_table;
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if (view)
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view->replaceWithSubquery(getSelectQuery(), view_table, metadata_snapshot);
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syntax_analyzer_result = TreeRewriter(*context).analyzeSelect(
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query_ptr,
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TreeRewriterResult(source_header.getNamesAndTypesList(), storage, metadata_snapshot),
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options, joined_tables.tablesWithColumns(), required_result_column_names, table_join);
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/// Save scalar sub queries's results in the query context
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if (!options.only_analyze && context->hasQueryContext())
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for (const auto & it : syntax_analyzer_result->getScalars())
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context->getQueryContext().addScalar(it.first, it.second);
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if (view)
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{
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/// Restore original view name. Save rewritten subquery for future usage in StorageView.
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query_info.view_query = view->restoreViewName(getSelectQuery(), view_table);
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view = nullptr;
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}
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if (try_move_to_prewhere && storage && !row_policy_filter && query.where() && !query.prewhere() && !query.final())
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{
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/// PREWHERE optimization: transfer some condition from WHERE to PREWHERE if enabled and viable
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if (const auto * merge_tree = dynamic_cast<const MergeTreeData *>(storage.get()))
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{
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SelectQueryInfo current_info;
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current_info.query = query_ptr;
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current_info.syntax_analyzer_result = syntax_analyzer_result;
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MergeTreeWhereOptimizer{current_info, *context, *merge_tree, metadata_snapshot, syntax_analyzer_result->requiredSourceColumns(), log};
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}
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}
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query_analyzer = std::make_unique<SelectQueryExpressionAnalyzer>(
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query_ptr, syntax_analyzer_result, *context, metadata_snapshot,
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NameSet(required_result_column_names.begin(), required_result_column_names.end()),
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!options.only_analyze, options);
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if (!options.only_analyze)
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{
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if (query.sampleSize() && (input || input_pipe || !storage || !storage->supportsSampling()))
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throw Exception("Illegal SAMPLE: table doesn't support sampling", ErrorCodes::SAMPLING_NOT_SUPPORTED);
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if (query.final() && (input || input_pipe || !storage || !storage->supportsFinal()))
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throw Exception((!input && !input_pipe && storage) ? "Storage " + storage->getName() + " doesn't support FINAL" : "Illegal FINAL", ErrorCodes::ILLEGAL_FINAL);
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if (query.prewhere() && (input || input_pipe || !storage || !storage->supportsPrewhere()))
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throw Exception((!input && !input_pipe && storage) ? "Storage " + storage->getName() + " doesn't support PREWHERE" : "Illegal PREWHERE", ErrorCodes::ILLEGAL_PREWHERE);
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/// Save the new temporary tables in the query context
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for (const auto & it : query_analyzer->getExternalTables())
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if (!context->tryResolveStorageID({"", it.first}, Context::ResolveExternal))
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context->addExternalTable(it.first, std::move(*it.second));
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}
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if (!options.only_analyze || options.modify_inplace)
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{
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if (syntax_analyzer_result->rewrite_subqueries)
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{
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/// remake interpreter_subquery when PredicateOptimizer rewrites subqueries and main table is subquery
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interpreter_subquery = joined_tables.makeLeftTableSubquery(options.subquery());
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}
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}
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if (interpreter_subquery)
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{
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/// If there is an aggregation in the outer query, WITH TOTALS is ignored in the subquery.
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if (query_analyzer->hasAggregation())
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interpreter_subquery->ignoreWithTotals();
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}
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required_columns = syntax_analyzer_result->requiredSourceColumns();
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if (storage)
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{
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source_header = metadata_snapshot->getSampleBlockForColumns(required_columns, storage->getVirtuals(), storage->getStorageID());
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/// Fix source_header for filter actions.
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if (row_policy_filter)
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{
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filter_info = std::make_shared<FilterInfo>();
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filter_info->column_name = generateFilterActions(filter_info->actions, row_policy_filter, required_columns);
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source_header = metadata_snapshot->getSampleBlockForColumns(
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filter_info->actions->getRequiredColumns(), storage->getVirtuals(), storage->getStorageID());
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}
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}
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if (!options.only_analyze && storage && filter_info && query.prewhere())
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throw Exception("PREWHERE is not supported if the table is filtered by row-level security expression", ErrorCodes::ILLEGAL_PREWHERE);
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/// Calculate structure of the result.
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result_header = getSampleBlockImpl();
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};
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analyze(settings.optimize_move_to_prewhere);
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bool need_analyze_again = false;
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if (analysis_result.prewhere_constant_filter_description.always_false || analysis_result.prewhere_constant_filter_description.always_true)
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{
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if (analysis_result.prewhere_constant_filter_description.always_true)
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query.setExpression(ASTSelectQuery::Expression::PREWHERE, {});
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else
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query.setExpression(ASTSelectQuery::Expression::PREWHERE, std::make_shared<ASTLiteral>(0u));
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need_analyze_again = true;
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}
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if (analysis_result.where_constant_filter_description.always_false || analysis_result.where_constant_filter_description.always_true)
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{
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if (analysis_result.where_constant_filter_description.always_true)
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query.setExpression(ASTSelectQuery::Expression::WHERE, {});
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else
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query.setExpression(ASTSelectQuery::Expression::WHERE, std::make_shared<ASTLiteral>(0u));
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need_analyze_again = true;
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}
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if (query.prewhere() && query.where())
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{
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/// Filter block in WHERE instead to get better performance
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query.setExpression(ASTSelectQuery::Expression::WHERE, makeASTFunction("and", query.prewhere()->clone(), query.where()->clone()));
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need_analyze_again = true;
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}
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if (need_analyze_again)
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{
|
|
/// Do not try move conditions to PREWHERE for the second time.
|
|
/// Otherwise, we won't be able to fallback from inefficient PREWHERE to WHERE later.
|
|
analyze(/* try_move_to_prewhere = */ false);
|
|
}
|
|
|
|
/// If there is no WHERE, filter blocks as usual
|
|
if (query.prewhere() && !query.where())
|
|
analysis_result.prewhere_info->need_filter = true;
|
|
|
|
const StorageID & left_table_id = joined_tables.leftTableID();
|
|
|
|
if (left_table_id)
|
|
context->checkAccess(AccessType::SELECT, left_table_id, required_columns);
|
|
|
|
/// Remove limits for some tables in the `system` database.
|
|
if (left_table_id.database_name == "system")
|
|
{
|
|
static const boost::container::flat_set<String> system_tables_ignoring_quota{"quotas", "quota_limits", "quota_usage", "quotas_usage", "one"};
|
|
if (system_tables_ignoring_quota.count(left_table_id.table_name))
|
|
{
|
|
options.ignore_quota = true;
|
|
options.ignore_limits = true;
|
|
}
|
|
}
|
|
|
|
/// Blocks used in expression analysis contains size 1 const columns for constant folding and
|
|
/// null non-const columns to avoid useless memory allocations. However, a valid block sample
|
|
/// requires all columns to be of size 0, thus we need to sanitize the block here.
|
|
sanitizeBlock(result_header, true);
|
|
}
|
|
|
|
|
|
Block InterpreterSelectQuery::getSampleBlock()
|
|
{
|
|
return result_header;
|
|
}
|
|
|
|
void InterpreterSelectQuery::buildQueryPlan(QueryPlan & query_plan)
|
|
{
|
|
executeImpl(query_plan, input, std::move(input_pipe));
|
|
|
|
/// We must guarantee that result structure is the same as in getSampleBlock()
|
|
if (!blocksHaveEqualStructure(query_plan.getCurrentDataStream().header, result_header))
|
|
{
|
|
auto converting = std::make_unique<ConvertingStep>(query_plan.getCurrentDataStream(), result_header, true);
|
|
query_plan.addStep(std::move(converting));
|
|
}
|
|
}
|
|
|
|
BlockIO InterpreterSelectQuery::execute()
|
|
{
|
|
BlockIO res;
|
|
QueryPlan query_plan;
|
|
|
|
buildQueryPlan(query_plan);
|
|
|
|
res.pipeline = std::move(*query_plan.buildQueryPipeline());
|
|
return res;
|
|
}
|
|
|
|
Block InterpreterSelectQuery::getSampleBlockImpl()
|
|
{
|
|
if (storage && !options.only_analyze)
|
|
from_stage = storage->getQueryProcessingStage(*context, options.to_stage, query_ptr);
|
|
|
|
/// Do I need to perform the first part of the pipeline - running on remote servers during distributed processing.
|
|
bool first_stage = from_stage < QueryProcessingStage::WithMergeableState
|
|
&& options.to_stage >= QueryProcessingStage::WithMergeableState;
|
|
/// Do I need to execute the second part of the pipeline - running on the initiating server during distributed processing.
|
|
bool second_stage = from_stage <= QueryProcessingStage::WithMergeableState
|
|
&& options.to_stage > QueryProcessingStage::WithMergeableState;
|
|
|
|
analysis_result = ExpressionAnalysisResult(
|
|
*query_analyzer,
|
|
metadata_snapshot,
|
|
first_stage,
|
|
second_stage,
|
|
options.only_analyze,
|
|
filter_info,
|
|
source_header);
|
|
|
|
if (options.to_stage == QueryProcessingStage::Enum::FetchColumns)
|
|
{
|
|
auto header = source_header;
|
|
|
|
if (analysis_result.prewhere_info)
|
|
{
|
|
analysis_result.prewhere_info->prewhere_actions->execute(header);
|
|
header = materializeBlock(header);
|
|
if (analysis_result.prewhere_info->remove_prewhere_column)
|
|
header.erase(analysis_result.prewhere_info->prewhere_column_name);
|
|
}
|
|
return header;
|
|
}
|
|
|
|
if (options.to_stage == QueryProcessingStage::Enum::WithMergeableState)
|
|
{
|
|
if (!analysis_result.need_aggregate)
|
|
return analysis_result.before_order_and_select->getSampleBlock();
|
|
|
|
auto header = analysis_result.before_aggregation->getSampleBlock();
|
|
|
|
Block res;
|
|
|
|
for (const auto & key : query_analyzer->aggregationKeys())
|
|
res.insert({nullptr, header.getByName(key.name).type, key.name});
|
|
|
|
for (const auto & aggregate : query_analyzer->aggregates())
|
|
{
|
|
size_t arguments_size = aggregate.argument_names.size();
|
|
DataTypes argument_types(arguments_size);
|
|
for (size_t j = 0; j < arguments_size; ++j)
|
|
argument_types[j] = header.getByName(aggregate.argument_names[j]).type;
|
|
|
|
DataTypePtr type = std::make_shared<DataTypeAggregateFunction>(aggregate.function, argument_types, aggregate.parameters);
|
|
|
|
res.insert({nullptr, type, aggregate.column_name});
|
|
}
|
|
|
|
return res;
|
|
}
|
|
|
|
if (options.to_stage == QueryProcessingStage::Enum::WithMergeableStateAfterAggregation)
|
|
{
|
|
return analysis_result.before_order_and_select->getSampleBlock();
|
|
}
|
|
|
|
return analysis_result.final_projection->getSampleBlock();
|
|
}
|
|
|
|
static Field getWithFillFieldValue(const ASTPtr & node, const Context & context)
|
|
{
|
|
const auto & [field, type] = evaluateConstantExpression(node, context);
|
|
|
|
if (!isColumnedAsNumber(type))
|
|
throw Exception("Illegal type " + type->getName() + " of WITH FILL expression, must be numeric type", ErrorCodes::INVALID_WITH_FILL_EXPRESSION);
|
|
|
|
return field;
|
|
}
|
|
|
|
static FillColumnDescription getWithFillDescription(const ASTOrderByElement & order_by_elem, const Context & context)
|
|
{
|
|
FillColumnDescription descr;
|
|
if (order_by_elem.fill_from)
|
|
descr.fill_from = getWithFillFieldValue(order_by_elem.fill_from, context);
|
|
if (order_by_elem.fill_to)
|
|
descr.fill_to = getWithFillFieldValue(order_by_elem.fill_to, context);
|
|
if (order_by_elem.fill_step)
|
|
descr.fill_step = getWithFillFieldValue(order_by_elem.fill_step, context);
|
|
else
|
|
descr.fill_step = order_by_elem.direction;
|
|
|
|
if (applyVisitor(FieldVisitorAccurateEquals(), descr.fill_step, Field{0}))
|
|
throw Exception("WITH FILL STEP value cannot be zero", ErrorCodes::INVALID_WITH_FILL_EXPRESSION);
|
|
|
|
if (order_by_elem.direction == 1)
|
|
{
|
|
if (applyVisitor(FieldVisitorAccurateLess(), descr.fill_step, Field{0}))
|
|
throw Exception("WITH FILL STEP value cannot be negative for sorting in ascending direction",
|
|
ErrorCodes::INVALID_WITH_FILL_EXPRESSION);
|
|
|
|
if (!descr.fill_from.isNull() && !descr.fill_to.isNull() &&
|
|
applyVisitor(FieldVisitorAccurateLess(), descr.fill_to, descr.fill_from))
|
|
{
|
|
throw Exception("WITH FILL TO value cannot be less than FROM value for sorting in ascending direction",
|
|
ErrorCodes::INVALID_WITH_FILL_EXPRESSION);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (applyVisitor(FieldVisitorAccurateLess(), Field{0}, descr.fill_step))
|
|
throw Exception("WITH FILL STEP value cannot be positive for sorting in descending direction",
|
|
ErrorCodes::INVALID_WITH_FILL_EXPRESSION);
|
|
|
|
if (!descr.fill_from.isNull() && !descr.fill_to.isNull() &&
|
|
applyVisitor(FieldVisitorAccurateLess(), descr.fill_from, descr.fill_to))
|
|
{
|
|
throw Exception("WITH FILL FROM value cannot be less than TO value for sorting in descending direction",
|
|
ErrorCodes::INVALID_WITH_FILL_EXPRESSION);
|
|
}
|
|
}
|
|
|
|
return descr;
|
|
}
|
|
|
|
static SortDescription getSortDescription(const ASTSelectQuery & query, const Context & context)
|
|
{
|
|
SortDescription order_descr;
|
|
order_descr.reserve(query.orderBy()->children.size());
|
|
SpecialSort special_sort = context.getSettings().special_sort.value;
|
|
for (const auto & elem : query.orderBy()->children)
|
|
{
|
|
String name = elem->children.front()->getColumnName();
|
|
const auto & order_by_elem = elem->as<ASTOrderByElement &>();
|
|
|
|
std::shared_ptr<Collator> collator;
|
|
if (order_by_elem.collation)
|
|
collator = std::make_shared<Collator>(order_by_elem.collation->as<ASTLiteral &>().value.get<String>());
|
|
|
|
if (order_by_elem.with_fill)
|
|
{
|
|
FillColumnDescription fill_desc = getWithFillDescription(order_by_elem, context);
|
|
order_descr.emplace_back(name, order_by_elem.direction,
|
|
order_by_elem.nulls_direction, collator, special_sort, true, fill_desc);
|
|
}
|
|
else
|
|
order_descr.emplace_back(name, order_by_elem.direction, order_by_elem.nulls_direction, collator, special_sort);
|
|
}
|
|
|
|
return order_descr;
|
|
}
|
|
|
|
static SortDescription getSortDescriptionFromGroupBy(const ASTSelectQuery & query)
|
|
{
|
|
SortDescription order_descr;
|
|
order_descr.reserve(query.groupBy()->children.size());
|
|
|
|
for (const auto & elem : query.groupBy()->children)
|
|
{
|
|
String name = elem->getColumnName();
|
|
order_descr.emplace_back(name, 1, 1);
|
|
}
|
|
|
|
return order_descr;
|
|
}
|
|
|
|
static UInt64 getLimitUIntValue(const ASTPtr & node, const Context & context, const std::string & expr)
|
|
{
|
|
const auto & [field, type] = evaluateConstantExpression(node, context);
|
|
|
|
if (!isNativeNumber(type))
|
|
throw Exception("Illegal type " + type->getName() + " of " + expr + " expression, must be numeric type", ErrorCodes::INVALID_LIMIT_EXPRESSION);
|
|
|
|
Field converted = convertFieldToType(field, DataTypeUInt64());
|
|
if (converted.isNull())
|
|
throw Exception("The value " + applyVisitor(FieldVisitorToString(), field) + " of " + expr + " expression is not representable as UInt64", ErrorCodes::INVALID_LIMIT_EXPRESSION);
|
|
|
|
return converted.safeGet<UInt64>();
|
|
}
|
|
|
|
|
|
static std::pair<UInt64, UInt64> getLimitLengthAndOffset(const ASTSelectQuery & query, const Context & context)
|
|
{
|
|
UInt64 length = 0;
|
|
UInt64 offset = 0;
|
|
|
|
if (query.limitLength())
|
|
{
|
|
length = getLimitUIntValue(query.limitLength(), context, "LIMIT");
|
|
if (query.limitOffset() && length)
|
|
offset = getLimitUIntValue(query.limitOffset(), context, "OFFSET");
|
|
}
|
|
else if (query.limitOffset())
|
|
offset = getLimitUIntValue(query.limitOffset(), context, "OFFSET");
|
|
return {length, offset};
|
|
}
|
|
|
|
|
|
static UInt64 getLimitForSorting(const ASTSelectQuery & query, const Context & context)
|
|
{
|
|
/// Partial sort can be done if there is LIMIT but no DISTINCT or LIMIT BY, neither ARRAY JOIN.
|
|
if (!query.distinct && !query.limitBy() && !query.limit_with_ties && !query.arrayJoinExpressionList() && query.limitLength())
|
|
{
|
|
auto [limit_length, limit_offset] = getLimitLengthAndOffset(query, context);
|
|
if (limit_length > std::numeric_limits<UInt64>::max() - limit_offset)
|
|
return 0;
|
|
|
|
return limit_length + limit_offset;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
|
|
static bool hasWithTotalsInAnySubqueryInFromClause(const ASTSelectQuery & query)
|
|
{
|
|
if (query.group_by_with_totals)
|
|
return true;
|
|
|
|
/** NOTE You can also check that the table in the subquery is distributed, and that it only looks at one shard.
|
|
* In other cases, totals will be computed on the initiating server of the query, and it is not necessary to read the data to the end.
|
|
*/
|
|
|
|
if (auto query_table = extractTableExpression(query, 0))
|
|
{
|
|
if (const auto * ast_union = query_table->as<ASTSelectWithUnionQuery>())
|
|
{
|
|
for (const auto & elem : ast_union->list_of_selects->children)
|
|
if (hasWithTotalsInAnySubqueryInFromClause(elem->as<ASTSelectQuery &>()))
|
|
return true;
|
|
}
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeImpl(QueryPlan & query_plan, const BlockInputStreamPtr & prepared_input, std::optional<Pipe> prepared_pipe)
|
|
{
|
|
/** Streams of data. When the query is executed in parallel, we have several data streams.
|
|
* If there is no GROUP BY, then perform all operations before ORDER BY and LIMIT in parallel, then
|
|
* if there is an ORDER BY, then glue the streams using ResizeProcessor, and then MergeSorting transforms,
|
|
* if not, then glue it using ResizeProcessor,
|
|
* then apply LIMIT.
|
|
* If there is GROUP BY, then we will perform all operations up to GROUP BY, inclusive, in parallel;
|
|
* a parallel GROUP BY will glue streams into one,
|
|
* then perform the remaining operations with one resulting stream.
|
|
*/
|
|
|
|
/// Now we will compose block streams that perform the necessary actions.
|
|
auto & query = getSelectQuery();
|
|
const Settings & settings = context->getSettingsRef();
|
|
auto & expressions = analysis_result;
|
|
const auto & subqueries_for_sets = query_analyzer->getSubqueriesForSets();
|
|
bool intermediate_stage = false;
|
|
bool to_aggregation_stage = false;
|
|
bool from_aggregation_stage = false;
|
|
|
|
if (options.only_analyze)
|
|
{
|
|
auto read_nothing = std::make_unique<ReadNothingStep>(source_header);
|
|
query_plan.addStep(std::move(read_nothing));
|
|
|
|
if (expressions.prewhere_info)
|
|
{
|
|
auto prewhere_step = std::make_unique<FilterStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expressions.prewhere_info->prewhere_actions,
|
|
expressions.prewhere_info->prewhere_column_name,
|
|
expressions.prewhere_info->remove_prewhere_column);
|
|
|
|
prewhere_step->setStepDescription("PREWHERE");
|
|
query_plan.addStep(std::move(prewhere_step));
|
|
|
|
// To remove additional columns in dry run
|
|
// For example, sample column which can be removed in this stage
|
|
if (expressions.prewhere_info->remove_columns_actions)
|
|
{
|
|
auto remove_columns = std::make_unique<ExpressionStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expressions.prewhere_info->remove_columns_actions);
|
|
|
|
remove_columns->setStepDescription("Remove unnecessary columns after PREWHERE");
|
|
query_plan.addStep(std::move(remove_columns));
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (prepared_input)
|
|
{
|
|
auto prepared_source_step = std::make_unique<ReadFromPreparedSource>(
|
|
Pipe(std::make_shared<SourceFromInputStream>(prepared_input)), context);
|
|
query_plan.addStep(std::move(prepared_source_step));
|
|
}
|
|
else if (prepared_pipe)
|
|
{
|
|
auto prepared_source_step = std::make_unique<ReadFromPreparedSource>(std::move(*prepared_pipe), context);
|
|
query_plan.addStep(std::move(prepared_source_step));
|
|
}
|
|
|
|
if (from_stage == QueryProcessingStage::WithMergeableState &&
|
|
options.to_stage == QueryProcessingStage::WithMergeableState)
|
|
intermediate_stage = true;
|
|
|
|
/// Support optimize_distributed_group_by_sharding_key
|
|
/// Is running on the initiating server during distributed processing?
|
|
if (from_stage == QueryProcessingStage::WithMergeableStateAfterAggregation)
|
|
from_aggregation_stage = true;
|
|
/// Is running on remote servers during distributed processing?
|
|
if (options.to_stage == QueryProcessingStage::WithMergeableStateAfterAggregation)
|
|
to_aggregation_stage = true;
|
|
|
|
if (storage && expressions.filter_info && expressions.prewhere_info)
|
|
throw Exception("PREWHERE is not supported if the table is filtered by row-level security expression", ErrorCodes::ILLEGAL_PREWHERE);
|
|
|
|
/** Read the data from Storage. from_stage - to what stage the request was completed in Storage. */
|
|
executeFetchColumns(from_stage, query_plan, expressions.prewhere_info, expressions.columns_to_remove_after_prewhere);
|
|
|
|
LOG_TRACE(log, "{} -> {}", QueryProcessingStage::toString(from_stage), QueryProcessingStage::toString(options.to_stage));
|
|
}
|
|
|
|
if (options.to_stage > QueryProcessingStage::FetchColumns)
|
|
{
|
|
/// Do I need to aggregate in a separate row rows that have not passed max_rows_to_group_by.
|
|
bool aggregate_overflow_row =
|
|
expressions.need_aggregate &&
|
|
query.group_by_with_totals &&
|
|
settings.max_rows_to_group_by &&
|
|
settings.group_by_overflow_mode == OverflowMode::ANY &&
|
|
settings.totals_mode != TotalsMode::AFTER_HAVING_EXCLUSIVE;
|
|
|
|
/// Do I need to immediately finalize the aggregate functions after the aggregation?
|
|
bool aggregate_final =
|
|
expressions.need_aggregate &&
|
|
options.to_stage > QueryProcessingStage::WithMergeableState &&
|
|
!query.group_by_with_totals && !query.group_by_with_rollup && !query.group_by_with_cube;
|
|
|
|
auto preliminary_sort = [&]()
|
|
{
|
|
/** For distributed query processing,
|
|
* if no GROUP, HAVING set,
|
|
* but there is an ORDER or LIMIT,
|
|
* then we will perform the preliminary sorting and LIMIT on the remote server.
|
|
*/
|
|
if (!expressions.second_stage && !expressions.need_aggregate && !expressions.hasHaving())
|
|
{
|
|
if (expressions.has_order_by)
|
|
executeOrder(query_plan, query_info.input_order_info);
|
|
|
|
if (expressions.has_order_by && query.limitLength())
|
|
executeDistinct(query_plan, false, expressions.selected_columns, true);
|
|
|
|
if (expressions.hasLimitBy())
|
|
{
|
|
executeExpression(query_plan, expressions.before_limit_by, "Before LIMIT BY");
|
|
executeLimitBy(query_plan);
|
|
}
|
|
|
|
if (query.limitLength())
|
|
executePreLimit(query_plan, true);
|
|
}
|
|
};
|
|
|
|
if (intermediate_stage)
|
|
{
|
|
if (expressions.first_stage || expressions.second_stage)
|
|
throw Exception("Query with intermediate stage cannot have any other stages", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
preliminary_sort();
|
|
if (expressions.need_aggregate)
|
|
executeMergeAggregated(query_plan, aggregate_overflow_row, aggregate_final);
|
|
}
|
|
if (from_aggregation_stage)
|
|
{
|
|
if (intermediate_stage || expressions.first_stage || expressions.second_stage)
|
|
throw Exception("Query with after aggregation stage cannot have any other stages", ErrorCodes::LOGICAL_ERROR);
|
|
}
|
|
|
|
|
|
if (expressions.first_stage)
|
|
{
|
|
if (expressions.hasFilter())
|
|
{
|
|
auto row_level_security_step = std::make_unique<FilterStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expressions.filter_info->actions,
|
|
expressions.filter_info->column_name,
|
|
expressions.filter_info->do_remove_column);
|
|
|
|
row_level_security_step->setStepDescription("Row-level security filter");
|
|
query_plan.addStep(std::move(row_level_security_step));
|
|
}
|
|
|
|
if (expressions.before_array_join)
|
|
{
|
|
QueryPlanStepPtr before_array_join_step = std::make_unique<ExpressionStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expressions.before_array_join);
|
|
before_array_join_step->setStepDescription("Before ARRAY JOIN");
|
|
query_plan.addStep(std::move(before_array_join_step));
|
|
}
|
|
|
|
if (expressions.array_join)
|
|
{
|
|
QueryPlanStepPtr array_join_step = std::make_unique<ArrayJoinStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expressions.array_join);
|
|
|
|
array_join_step->setStepDescription("ARRAY JOIN");
|
|
query_plan.addStep(std::move(array_join_step));
|
|
}
|
|
|
|
if (expressions.before_join)
|
|
{
|
|
QueryPlanStepPtr before_join_step = std::make_unique<ExpressionStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expressions.before_join);
|
|
before_join_step->setStepDescription("Before JOIN");
|
|
query_plan.addStep(std::move(before_join_step));
|
|
}
|
|
|
|
if (expressions.hasJoin())
|
|
{
|
|
Block join_result_sample;
|
|
JoinPtr join = expressions.join->getTableJoinAlgo();
|
|
|
|
join_result_sample = InflatingExpressionTransform::transformHeader(
|
|
query_plan.getCurrentDataStream().header, expressions.join);
|
|
|
|
QueryPlanStepPtr join_step = std::make_unique<InflatingExpressionStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expressions.join);
|
|
|
|
join_step->setStepDescription("JOIN");
|
|
query_plan.addStep(std::move(join_step));
|
|
|
|
if (auto stream = join->createStreamWithNonJoinedRows(join_result_sample, settings.max_block_size))
|
|
{
|
|
auto source = std::make_shared<SourceFromInputStream>(std::move(stream));
|
|
auto add_non_joined_rows_step = std::make_unique<AddingDelayedSourceStep>(
|
|
query_plan.getCurrentDataStream(), std::move(source));
|
|
|
|
add_non_joined_rows_step->setStepDescription("Add non-joined rows after JOIN");
|
|
query_plan.addStep(std::move(add_non_joined_rows_step));
|
|
}
|
|
}
|
|
|
|
if (expressions.hasWhere())
|
|
executeWhere(query_plan, expressions.before_where, expressions.remove_where_filter);
|
|
|
|
if (expressions.need_aggregate)
|
|
{
|
|
executeAggregation(query_plan, expressions.before_aggregation, aggregate_overflow_row, aggregate_final, query_info.input_order_info);
|
|
/// We need to reset input order info, so that executeOrder can't use it
|
|
query_info.input_order_info.reset();
|
|
}
|
|
else
|
|
{
|
|
executeExpression(query_plan, expressions.before_order_and_select, "Before ORDER BY and SELECT");
|
|
executeDistinct(query_plan, true, expressions.selected_columns, true);
|
|
}
|
|
|
|
preliminary_sort();
|
|
|
|
// If there is no global subqueries, we can run subqueries only when receive them on server.
|
|
if (!query_analyzer->hasGlobalSubqueries() && !subqueries_for_sets.empty())
|
|
executeSubqueriesInSetsAndJoins(query_plan, subqueries_for_sets);
|
|
}
|
|
|
|
if (expressions.second_stage || from_aggregation_stage)
|
|
{
|
|
if (from_aggregation_stage)
|
|
{
|
|
/// No need to aggregate anything, since this was done on remote shards.
|
|
}
|
|
else if (expressions.need_aggregate)
|
|
{
|
|
/// If you need to combine aggregated results from multiple servers
|
|
if (!expressions.first_stage)
|
|
executeMergeAggregated(query_plan, aggregate_overflow_row, aggregate_final);
|
|
|
|
if (!aggregate_final)
|
|
{
|
|
if (query.group_by_with_totals)
|
|
{
|
|
bool final = !query.group_by_with_rollup && !query.group_by_with_cube;
|
|
executeTotalsAndHaving(query_plan, expressions.hasHaving(), expressions.before_having, aggregate_overflow_row, final);
|
|
}
|
|
|
|
if (query.group_by_with_rollup)
|
|
executeRollupOrCube(query_plan, Modificator::ROLLUP);
|
|
else if (query.group_by_with_cube)
|
|
executeRollupOrCube(query_plan, Modificator::CUBE);
|
|
|
|
if ((query.group_by_with_rollup || query.group_by_with_cube) && expressions.hasHaving())
|
|
{
|
|
if (query.group_by_with_totals)
|
|
throw Exception("WITH TOTALS and WITH ROLLUP or CUBE are not supported together in presence of HAVING", ErrorCodes::NOT_IMPLEMENTED);
|
|
executeHaving(query_plan, expressions.before_having);
|
|
}
|
|
}
|
|
else if (expressions.hasHaving())
|
|
executeHaving(query_plan, expressions.before_having);
|
|
|
|
executeExpression(query_plan, expressions.before_order_and_select, "Before ORDER BY and SELECT");
|
|
executeDistinct(query_plan, true, expressions.selected_columns, true);
|
|
|
|
}
|
|
else if (query.group_by_with_totals || query.group_by_with_rollup || query.group_by_with_cube)
|
|
throw Exception("WITH TOTALS, ROLLUP or CUBE are not supported without aggregation", ErrorCodes::NOT_IMPLEMENTED);
|
|
|
|
if (expressions.has_order_by)
|
|
{
|
|
/** If there is an ORDER BY for distributed query processing,
|
|
* but there is no aggregation, then on the remote servers ORDER BY was made
|
|
* - therefore, we merge the sorted streams from remote servers.
|
|
*/
|
|
|
|
if (!expressions.first_stage && !expressions.need_aggregate && !(query.group_by_with_totals && !aggregate_final))
|
|
executeMergeSorted(query_plan, "for ORDER BY");
|
|
else /// Otherwise, just sort.
|
|
executeOrder(query_plan, query_info.input_order_info);
|
|
}
|
|
|
|
/** Optimization - if there are several sources and there is LIMIT, then first apply the preliminary LIMIT,
|
|
* limiting the number of rows in each up to `offset + limit`.
|
|
*/
|
|
bool has_prelimit = false;
|
|
if (!to_aggregation_stage &&
|
|
query.limitLength() && !query.limit_with_ties && !hasWithTotalsInAnySubqueryInFromClause(query) &&
|
|
!query.arrayJoinExpressionList() && !query.distinct && !expressions.hasLimitBy() && !settings.extremes)
|
|
{
|
|
executePreLimit(query_plan, false);
|
|
has_prelimit = true;
|
|
}
|
|
|
|
/** If there was more than one stream,
|
|
* then DISTINCT needs to be performed once again after merging all streams.
|
|
*/
|
|
if (query.distinct)
|
|
executeDistinct(query_plan, false, expressions.selected_columns, false);
|
|
|
|
if (expressions.hasLimitBy())
|
|
{
|
|
executeExpression(query_plan, expressions.before_limit_by, "Before LIMIT BY");
|
|
executeLimitBy(query_plan);
|
|
}
|
|
|
|
executeWithFill(query_plan);
|
|
|
|
/// If we have 'WITH TIES', we need execute limit before projection,
|
|
/// because in that case columns from 'ORDER BY' are used.
|
|
if (query.limit_with_ties)
|
|
{
|
|
executeLimit(query_plan);
|
|
has_prelimit = true;
|
|
}
|
|
|
|
/// Projection not be done on the shards, since then initiator will not find column in blocks.
|
|
/// (significant only for WithMergeableStateAfterAggregation).
|
|
if (!to_aggregation_stage)
|
|
{
|
|
/// We must do projection after DISTINCT because projection may remove some columns.
|
|
executeProjection(query_plan, expressions.final_projection);
|
|
}
|
|
|
|
/// Extremes are calculated before LIMIT, but after LIMIT BY. This is Ok.
|
|
executeExtremes(query_plan);
|
|
|
|
/// Limit is no longer needed if there is prelimit.
|
|
if (!to_aggregation_stage && !has_prelimit)
|
|
executeLimit(query_plan);
|
|
|
|
if (!to_aggregation_stage)
|
|
executeOffset(query_plan);
|
|
}
|
|
}
|
|
|
|
if (query_analyzer->hasGlobalSubqueries() && !subqueries_for_sets.empty())
|
|
executeSubqueriesInSetsAndJoins(query_plan, subqueries_for_sets);
|
|
}
|
|
|
|
void InterpreterSelectQuery::executeFetchColumns(
|
|
QueryProcessingStage::Enum processing_stage, QueryPlan & query_plan,
|
|
const PrewhereInfoPtr & prewhere_info, const Names & columns_to_remove_after_prewhere)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
/// Optimization for trivial query like SELECT count() FROM table.
|
|
bool optimize_trivial_count =
|
|
syntax_analyzer_result->optimize_trivial_count
|
|
&& storage
|
|
&& !filter_info
|
|
&& processing_stage == QueryProcessingStage::FetchColumns
|
|
&& query_analyzer->hasAggregation()
|
|
&& (query_analyzer->aggregates().size() == 1)
|
|
&& typeid_cast<AggregateFunctionCount *>(query_analyzer->aggregates()[0].function.get());
|
|
|
|
if (optimize_trivial_count)
|
|
{
|
|
const auto & desc = query_analyzer->aggregates()[0];
|
|
const auto & func = desc.function;
|
|
std::optional<UInt64> num_rows = storage->totalRows();
|
|
if (num_rows)
|
|
{
|
|
AggregateFunctionCount & agg_count = static_cast<AggregateFunctionCount &>(*func);
|
|
|
|
/// We will process it up to "WithMergeableState".
|
|
std::vector<char> state(agg_count.sizeOfData());
|
|
AggregateDataPtr place = state.data();
|
|
|
|
agg_count.create(place);
|
|
SCOPE_EXIT(agg_count.destroy(place));
|
|
|
|
agg_count.set(place, *num_rows);
|
|
|
|
auto column = ColumnAggregateFunction::create(func);
|
|
column->insertFrom(place);
|
|
|
|
auto header = analysis_result.before_aggregation->getSampleBlock();
|
|
size_t arguments_size = desc.argument_names.size();
|
|
DataTypes argument_types(arguments_size);
|
|
for (size_t j = 0; j < arguments_size; ++j)
|
|
argument_types[j] = header.getByName(desc.argument_names[j]).type;
|
|
|
|
Block block_with_count{
|
|
{std::move(column), std::make_shared<DataTypeAggregateFunction>(func, argument_types, desc.parameters), desc.column_name}};
|
|
|
|
auto istream = std::make_shared<OneBlockInputStream>(block_with_count);
|
|
auto prepared_count = std::make_unique<ReadFromPreparedSource>(Pipe(std::make_shared<SourceFromInputStream>(istream)), context);
|
|
prepared_count->setStepDescription("Optimized trivial count");
|
|
query_plan.addStep(std::move(prepared_count));
|
|
from_stage = QueryProcessingStage::WithMergeableState;
|
|
analysis_result.first_stage = false;
|
|
return;
|
|
}
|
|
}
|
|
|
|
/// Actions to calculate ALIAS if required.
|
|
ExpressionActionsPtr alias_actions;
|
|
|
|
if (storage)
|
|
{
|
|
/// Append columns from the table filter to required
|
|
auto row_policy_filter = context->getRowPolicyCondition(table_id.getDatabaseName(), table_id.getTableName(), RowPolicy::SELECT_FILTER);
|
|
if (row_policy_filter)
|
|
{
|
|
auto initial_required_columns = required_columns;
|
|
ExpressionActionsPtr actions;
|
|
generateFilterActions(actions, row_policy_filter, initial_required_columns);
|
|
auto required_columns_from_filter = actions->getRequiredColumns();
|
|
|
|
for (const auto & column : required_columns_from_filter)
|
|
{
|
|
if (required_columns.end() == std::find(required_columns.begin(), required_columns.end(), column))
|
|
required_columns.push_back(column);
|
|
}
|
|
}
|
|
|
|
/// Detect, if ALIAS columns are required for query execution
|
|
auto alias_columns_required = false;
|
|
const ColumnsDescription & storage_columns = metadata_snapshot->getColumns();
|
|
for (const auto & column_name : required_columns)
|
|
{
|
|
auto column_default = storage_columns.getDefault(column_name);
|
|
if (column_default && column_default->kind == ColumnDefaultKind::Alias)
|
|
{
|
|
alias_columns_required = true;
|
|
break;
|
|
}
|
|
}
|
|
|
|
/// There are multiple sources of required columns:
|
|
/// - raw required columns,
|
|
/// - columns deduced from ALIAS columns,
|
|
/// - raw required columns from PREWHERE,
|
|
/// - columns deduced from ALIAS columns from PREWHERE.
|
|
/// PREWHERE is a special case, since we need to resolve it and pass directly to `IStorage::read()`
|
|
/// before any other executions.
|
|
if (alias_columns_required)
|
|
{
|
|
NameSet required_columns_from_prewhere; /// Set of all (including ALIAS) required columns for PREWHERE
|
|
NameSet required_aliases_from_prewhere; /// Set of ALIAS required columns for PREWHERE
|
|
|
|
if (prewhere_info)
|
|
{
|
|
/// Get some columns directly from PREWHERE expression actions
|
|
auto prewhere_required_columns = prewhere_info->prewhere_actions->getRequiredColumns();
|
|
required_columns_from_prewhere.insert(prewhere_required_columns.begin(), prewhere_required_columns.end());
|
|
}
|
|
|
|
/// Expression, that contains all raw required columns
|
|
ASTPtr required_columns_all_expr = std::make_shared<ASTExpressionList>();
|
|
|
|
/// Expression, that contains raw required columns for PREWHERE
|
|
ASTPtr required_columns_from_prewhere_expr = std::make_shared<ASTExpressionList>();
|
|
|
|
/// Sort out already known required columns between expressions,
|
|
/// also populate `required_aliases_from_prewhere`.
|
|
for (const auto & column : required_columns)
|
|
{
|
|
ASTPtr column_expr;
|
|
const auto column_default = storage_columns.getDefault(column);
|
|
bool is_alias = column_default && column_default->kind == ColumnDefaultKind::Alias;
|
|
if (is_alias)
|
|
{
|
|
auto column_decl = storage_columns.get(column);
|
|
/// TODO: can make CAST only if the type is different (but requires SyntaxAnalyzer).
|
|
auto cast_column_default = addTypeConversionToAST(column_default->expression->clone(), column_decl.type->getName());
|
|
column_expr = setAlias(cast_column_default->clone(), column);
|
|
}
|
|
else
|
|
column_expr = std::make_shared<ASTIdentifier>(column);
|
|
|
|
if (required_columns_from_prewhere.count(column))
|
|
{
|
|
required_columns_from_prewhere_expr->children.emplace_back(std::move(column_expr));
|
|
|
|
if (is_alias)
|
|
required_aliases_from_prewhere.insert(column);
|
|
}
|
|
else
|
|
required_columns_all_expr->children.emplace_back(std::move(column_expr));
|
|
}
|
|
|
|
/// Columns, which we will get after prewhere and filter executions.
|
|
NamesAndTypesList required_columns_after_prewhere;
|
|
NameSet required_columns_after_prewhere_set;
|
|
|
|
/// Collect required columns from prewhere expression actions.
|
|
if (prewhere_info)
|
|
{
|
|
NameSet columns_to_remove(columns_to_remove_after_prewhere.begin(), columns_to_remove_after_prewhere.end());
|
|
Block prewhere_actions_result = prewhere_info->prewhere_actions->getSampleBlock();
|
|
|
|
/// Populate required columns with the columns, added by PREWHERE actions and not removed afterwards.
|
|
/// XXX: looks hacky that we already know which columns after PREWHERE we won't need for sure.
|
|
for (const auto & column : prewhere_actions_result)
|
|
{
|
|
if (prewhere_info->remove_prewhere_column && column.name == prewhere_info->prewhere_column_name)
|
|
continue;
|
|
|
|
if (columns_to_remove.count(column.name))
|
|
continue;
|
|
|
|
required_columns_all_expr->children.emplace_back(std::make_shared<ASTIdentifier>(column.name));
|
|
required_columns_after_prewhere.emplace_back(column.name, column.type);
|
|
}
|
|
|
|
required_columns_after_prewhere_set
|
|
= ext::map<NameSet>(required_columns_after_prewhere, [](const auto & it) { return it.name; });
|
|
}
|
|
|
|
auto syntax_result = TreeRewriter(*context).analyze(required_columns_all_expr, required_columns_after_prewhere, storage, metadata_snapshot);
|
|
alias_actions = ExpressionAnalyzer(required_columns_all_expr, syntax_result, *context).getActions(true);
|
|
|
|
/// The set of required columns could be added as a result of adding an action to calculate ALIAS.
|
|
required_columns = alias_actions->getRequiredColumns();
|
|
|
|
/// Do not remove prewhere filter if it is a column which is used as alias.
|
|
if (prewhere_info && prewhere_info->remove_prewhere_column)
|
|
if (required_columns.end()
|
|
!= std::find(required_columns.begin(), required_columns.end(), prewhere_info->prewhere_column_name))
|
|
prewhere_info->remove_prewhere_column = false;
|
|
|
|
/// Remove columns which will be added by prewhere.
|
|
required_columns.erase(std::remove_if(required_columns.begin(), required_columns.end(), [&](const String & name)
|
|
{
|
|
return required_columns_after_prewhere_set.count(name) != 0;
|
|
}), required_columns.end());
|
|
|
|
if (prewhere_info)
|
|
{
|
|
/// Don't remove columns which are needed to be aliased.
|
|
auto new_actions = std::make_shared<ExpressionActions>(prewhere_info->prewhere_actions->getRequiredColumnsWithTypes(), *context);
|
|
for (const auto & action : prewhere_info->prewhere_actions->getActions())
|
|
{
|
|
if (action.type != ExpressionAction::REMOVE_COLUMN
|
|
|| required_columns.end() == std::find(required_columns.begin(), required_columns.end(), action.source_name))
|
|
new_actions->add(action);
|
|
}
|
|
prewhere_info->prewhere_actions = std::move(new_actions);
|
|
|
|
auto analyzed_result
|
|
= TreeRewriter(*context).analyze(required_columns_from_prewhere_expr, metadata_snapshot->getColumns().getAllPhysical());
|
|
prewhere_info->alias_actions
|
|
= ExpressionAnalyzer(required_columns_from_prewhere_expr, analyzed_result, *context).getActions(true, false);
|
|
|
|
/// Add (physical?) columns required by alias actions.
|
|
auto required_columns_from_alias = prewhere_info->alias_actions->getRequiredColumns();
|
|
Block prewhere_actions_result = prewhere_info->prewhere_actions->getSampleBlock();
|
|
for (auto & column : required_columns_from_alias)
|
|
if (!prewhere_actions_result.has(column))
|
|
if (required_columns.end() == std::find(required_columns.begin(), required_columns.end(), column))
|
|
required_columns.push_back(column);
|
|
|
|
/// Add physical columns required by prewhere actions.
|
|
for (const auto & column : required_columns_from_prewhere)
|
|
if (required_aliases_from_prewhere.count(column) == 0)
|
|
if (required_columns.end() == std::find(required_columns.begin(), required_columns.end(), column))
|
|
required_columns.push_back(column);
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Limitation on the number of columns to read.
|
|
/// 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)
|
|
throw Exception("Limit for number of columns to read exceeded. "
|
|
"Requested: " + toString(required_columns.size())
|
|
+ ", maximum: " + settings.max_columns_to_read.toString(),
|
|
ErrorCodes::TOO_MANY_COLUMNS);
|
|
|
|
/// General limit for the number of threads.
|
|
query_plan.setMaxThreads(settings.max_threads);
|
|
|
|
/** With distributed query processing, almost no computations are done in the threads,
|
|
* but wait and receive data from remote servers.
|
|
* If we have 20 remote servers, and max_threads = 8, then it would not be very good
|
|
* connect and ask only 8 servers at a time.
|
|
* To simultaneously query more remote servers,
|
|
* instead of max_threads, max_distributed_connections is used.
|
|
*/
|
|
bool is_remote = false;
|
|
if (storage && storage->isRemote())
|
|
{
|
|
is_remote = true;
|
|
max_streams = settings.max_distributed_connections;
|
|
query_plan.setMaxThreads(max_streams);
|
|
}
|
|
|
|
UInt64 max_block_size = settings.max_block_size;
|
|
|
|
auto [limit_length, limit_offset] = getLimitLengthAndOffset(query, *context);
|
|
|
|
/** Optimization - if not specified DISTINCT, WHERE, GROUP, HAVING, ORDER, LIMIT BY, WITH TIES but LIMIT is specified, and limit + offset < max_block_size,
|
|
* then as the block size we will use limit + offset (not to read more from the table than requested),
|
|
* and also set the number of threads to 1.
|
|
*/
|
|
if (!query.distinct
|
|
&& !query.limit_with_ties
|
|
&& !query.prewhere()
|
|
&& !query.where()
|
|
&& !query.groupBy()
|
|
&& !query.having()
|
|
&& !query.orderBy()
|
|
&& !query.limitBy()
|
|
&& query.limitLength()
|
|
&& !query_analyzer->hasAggregation()
|
|
&& limit_length <= std::numeric_limits<UInt64>::max() - limit_offset
|
|
&& limit_length + limit_offset < max_block_size)
|
|
{
|
|
max_block_size = std::max(UInt64(1), limit_length + limit_offset);
|
|
max_streams = 1;
|
|
query_plan.setMaxThreads(max_streams);
|
|
}
|
|
|
|
if (!max_block_size)
|
|
throw Exception("Setting 'max_block_size' cannot be zero", ErrorCodes::PARAMETER_OUT_OF_BOUND);
|
|
|
|
/// Initialize the initial data streams to which the query transforms are superimposed. Table or subquery or prepared input?
|
|
if (query_plan.isInitialized())
|
|
{
|
|
/// Prepared input.
|
|
}
|
|
else if (interpreter_subquery)
|
|
{
|
|
/// Subquery.
|
|
/// If we need less number of columns that subquery have - update the interpreter.
|
|
if (required_columns.size() < source_header.columns())
|
|
{
|
|
ASTPtr subquery = extractTableExpression(query, 0);
|
|
if (!subquery)
|
|
throw Exception("Subquery expected", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
interpreter_subquery = std::make_unique<InterpreterSelectWithUnionQuery>(
|
|
subquery, getSubqueryContext(*context),
|
|
options.copy().subquery().noModify(), required_columns);
|
|
|
|
if (query_analyzer->hasAggregation())
|
|
interpreter_subquery->ignoreWithTotals();
|
|
}
|
|
|
|
interpreter_subquery->buildQueryPlan(query_plan);
|
|
query_plan.addInterpreterContext(context);
|
|
}
|
|
else if (storage)
|
|
{
|
|
/// Table.
|
|
if (max_streams == 0)
|
|
throw Exception("Logical error: zero number of streams requested", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
/// If necessary, we request more sources than the number of threads - to distribute the work evenly over the threads.
|
|
if (max_streams > 1 && !is_remote)
|
|
max_streams *= settings.max_streams_to_max_threads_ratio;
|
|
|
|
query_info.query = query_ptr;
|
|
query_info.syntax_analyzer_result = syntax_analyzer_result;
|
|
query_info.sets = query_analyzer->getPreparedSets();
|
|
query_info.prewhere_info = prewhere_info;
|
|
|
|
/// 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)
|
|
{
|
|
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);
|
|
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(storage, metadata_snapshot);
|
|
}
|
|
|
|
auto read_step = std::make_unique<ReadFromStorageStep>(
|
|
table_lock, metadata_snapshot, options, storage,
|
|
required_columns, query_info, context, processing_stage, max_block_size, max_streams);
|
|
|
|
read_step->setStepDescription("Read from " + storage->getName());
|
|
query_plan.addStep(std::move(read_step));
|
|
}
|
|
else
|
|
throw Exception("Logical error in InterpreterSelectQuery: nowhere to read", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
/// Aliases in table declaration.
|
|
if (processing_stage == QueryProcessingStage::FetchColumns && alias_actions)
|
|
{
|
|
auto table_aliases = std::make_unique<ExpressionStep>(query_plan.getCurrentDataStream(), alias_actions);
|
|
table_aliases->setStepDescription("Add table aliases");
|
|
query_plan.addStep(std::move(table_aliases));
|
|
}
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeWhere(QueryPlan & query_plan, const ExpressionActionsPtr & expression, bool remove_filter)
|
|
{
|
|
auto where_step = std::make_unique<FilterStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expression,
|
|
getSelectQuery().where()->getColumnName(),
|
|
remove_filter);
|
|
|
|
where_step->setStepDescription("WHERE");
|
|
query_plan.addStep(std::move(where_step));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeAggregation(QueryPlan & query_plan, const ExpressionActionsPtr & expression, bool overflow_row, bool final, InputOrderInfoPtr group_by_info)
|
|
{
|
|
auto expression_before_aggregation = std::make_unique<ExpressionStep>(query_plan.getCurrentDataStream(), expression);
|
|
expression_before_aggregation->setStepDescription("Before GROUP BY");
|
|
query_plan.addStep(std::move(expression_before_aggregation));
|
|
|
|
const auto & header_before_aggregation = query_plan.getCurrentDataStream().header;
|
|
ColumnNumbers keys;
|
|
for (const auto & key : query_analyzer->aggregationKeys())
|
|
keys.push_back(header_before_aggregation.getPositionByName(key.name));
|
|
|
|
AggregateDescriptions aggregates = query_analyzer->aggregates();
|
|
for (auto & descr : aggregates)
|
|
if (descr.arguments.empty())
|
|
for (const auto & name : descr.argument_names)
|
|
descr.arguments.push_back(header_before_aggregation.getPositionByName(name));
|
|
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
Aggregator::Params params(header_before_aggregation, keys, aggregates,
|
|
overflow_row, settings.max_rows_to_group_by, settings.group_by_overflow_mode,
|
|
settings.group_by_two_level_threshold,
|
|
settings.group_by_two_level_threshold_bytes,
|
|
settings.max_bytes_before_external_group_by,
|
|
settings.empty_result_for_aggregation_by_empty_set,
|
|
context->getTemporaryVolume(),
|
|
settings.max_threads,
|
|
settings.min_free_disk_space_for_temporary_data);
|
|
|
|
SortDescription group_by_sort_description;
|
|
|
|
if (group_by_info && settings.optimize_aggregation_in_order)
|
|
group_by_sort_description = getSortDescriptionFromGroupBy(getSelectQuery());
|
|
else
|
|
group_by_info = nullptr;
|
|
|
|
auto merge_threads = max_streams;
|
|
auto temporary_data_merge_threads = settings.aggregation_memory_efficient_merge_threads
|
|
? static_cast<size_t>(settings.aggregation_memory_efficient_merge_threads)
|
|
: static_cast<size_t>(settings.max_threads);
|
|
|
|
bool storage_has_evenly_distributed_read = storage && storage->hasEvenlyDistributedRead();
|
|
|
|
auto aggregating_step = std::make_unique<AggregatingStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
params, final,
|
|
settings.max_block_size,
|
|
merge_threads,
|
|
temporary_data_merge_threads,
|
|
storage_has_evenly_distributed_read,
|
|
std::move(group_by_info),
|
|
std::move(group_by_sort_description));
|
|
|
|
query_plan.addStep(std::move(aggregating_step));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeMergeAggregated(QueryPlan & query_plan, bool overflow_row, bool final)
|
|
{
|
|
const auto & header_before_merge = query_plan.getCurrentDataStream().header;
|
|
|
|
ColumnNumbers keys;
|
|
for (const auto & key : query_analyzer->aggregationKeys())
|
|
keys.push_back(header_before_merge.getPositionByName(key.name));
|
|
|
|
/** There are two modes of distributed aggregation.
|
|
*
|
|
* 1. In different threads read from the remote servers blocks.
|
|
* Save all the blocks in the RAM. Merge blocks.
|
|
* If the aggregation is two-level - parallelize to the number of buckets.
|
|
*
|
|
* 2. In one thread, read blocks from different servers in order.
|
|
* RAM stores only one block from each server.
|
|
* If the aggregation is a two-level aggregation, we consistently merge the blocks of each next level.
|
|
*
|
|
* The second option consumes less memory (up to 256 times less)
|
|
* in the case of two-level aggregation, which is used for large results after GROUP BY,
|
|
* but it can work more slowly.
|
|
*/
|
|
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
Aggregator::Params params(header_before_merge, keys, query_analyzer->aggregates(), overflow_row, settings.max_threads);
|
|
|
|
auto transform_params = std::make_shared<AggregatingTransformParams>(params, final);
|
|
|
|
auto merging_aggregated = std::make_unique<MergingAggregatedStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
std::move(transform_params),
|
|
settings.distributed_aggregation_memory_efficient,
|
|
settings.max_threads,
|
|
settings.aggregation_memory_efficient_merge_threads);
|
|
|
|
query_plan.addStep(std::move(merging_aggregated));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeHaving(QueryPlan & query_plan, const ExpressionActionsPtr & expression)
|
|
{
|
|
auto having_step = std::make_unique<FilterStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
expression, getSelectQuery().having()->getColumnName(), false);
|
|
|
|
having_step->setStepDescription("HAVING");
|
|
query_plan.addStep(std::move(having_step));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeTotalsAndHaving(QueryPlan & query_plan, bool has_having, const ExpressionActionsPtr & expression, bool overflow_row, bool final)
|
|
{
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
auto totals_having_step = std::make_unique<TotalsHavingStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
overflow_row, expression,
|
|
has_having ? getSelectQuery().having()->getColumnName() : "",
|
|
settings.totals_mode, settings.totals_auto_threshold, final);
|
|
|
|
query_plan.addStep(std::move(totals_having_step));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeRollupOrCube(QueryPlan & query_plan, Modificator modificator)
|
|
{
|
|
const auto & header_before_transform = query_plan.getCurrentDataStream().header;
|
|
|
|
ColumnNumbers keys;
|
|
|
|
for (const auto & key : query_analyzer->aggregationKeys())
|
|
keys.push_back(header_before_transform.getPositionByName(key.name));
|
|
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
Aggregator::Params params(header_before_transform, keys, query_analyzer->aggregates(),
|
|
false, settings.max_rows_to_group_by, settings.group_by_overflow_mode, 0, 0,
|
|
settings.max_bytes_before_external_group_by, settings.empty_result_for_aggregation_by_empty_set,
|
|
context->getTemporaryVolume(), settings.max_threads, settings.min_free_disk_space_for_temporary_data);
|
|
|
|
auto transform_params = std::make_shared<AggregatingTransformParams>(params, true);
|
|
|
|
QueryPlanStepPtr step;
|
|
if (modificator == Modificator::ROLLUP)
|
|
step = std::make_unique<RollupStep>(query_plan.getCurrentDataStream(), std::move(transform_params));
|
|
else
|
|
step = std::make_unique<CubeStep>(query_plan.getCurrentDataStream(), std::move(transform_params));
|
|
|
|
query_plan.addStep(std::move(step));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeExpression(QueryPlan & query_plan, const ExpressionActionsPtr & expression, const std::string & description)
|
|
{
|
|
auto expression_step = std::make_unique<ExpressionStep>(query_plan.getCurrentDataStream(), expression);
|
|
|
|
expression_step->setStepDescription(description);
|
|
query_plan.addStep(std::move(expression_step));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeOrderOptimized(QueryPlan & query_plan, InputOrderInfoPtr input_sorting_info, UInt64 limit, SortDescription & output_order_descr)
|
|
{
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
auto finish_sorting_step = std::make_unique<FinishSortingStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
input_sorting_info->order_key_prefix_descr,
|
|
output_order_descr,
|
|
settings.max_block_size,
|
|
limit);
|
|
|
|
query_plan.addStep(std::move(finish_sorting_step));
|
|
}
|
|
|
|
void InterpreterSelectQuery::executeOrder(QueryPlan & query_plan, InputOrderInfoPtr input_sorting_info)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
SortDescription output_order_descr = getSortDescription(query, *context);
|
|
UInt64 limit = getLimitForSorting(query, *context);
|
|
|
|
if (input_sorting_info)
|
|
{
|
|
/* Case of sorting with optimization using sorting key.
|
|
* We have several threads, each of them reads batch of parts in direct
|
|
* or reverse order of sorting key using one input stream per part
|
|
* and then merge them into one sorted stream.
|
|
* At this stage we merge per-thread streams into one.
|
|
*/
|
|
executeOrderOptimized(query_plan, input_sorting_info, limit, output_order_descr);
|
|
return;
|
|
}
|
|
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
auto partial_sorting = std::make_unique<PartialSortingStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
output_order_descr,
|
|
limit,
|
|
SizeLimits(settings.max_rows_to_sort, settings.max_bytes_to_sort, settings.sort_overflow_mode));
|
|
|
|
partial_sorting->setStepDescription("Sort each block for ORDER BY");
|
|
query_plan.addStep(std::move(partial_sorting));
|
|
|
|
/// Merge the sorted blocks.
|
|
auto merge_sorting_step = std::make_unique<MergeSortingStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
output_order_descr, settings.max_block_size, limit,
|
|
settings.max_bytes_before_remerge_sort,
|
|
settings.max_bytes_before_external_sort, context->getTemporaryVolume(),
|
|
settings.min_free_disk_space_for_temporary_data);
|
|
|
|
merge_sorting_step->setStepDescription("Merge sorted blocks for ORDER BY");
|
|
query_plan.addStep(std::move(merge_sorting_step));
|
|
|
|
/// If there are several streams, we merge them into one
|
|
executeMergeSorted(query_plan, output_order_descr, limit, "for ORDER BY");
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeMergeSorted(QueryPlan & query_plan, const std::string & description)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
SortDescription order_descr = getSortDescription(query, *context);
|
|
UInt64 limit = getLimitForSorting(query, *context);
|
|
|
|
executeMergeSorted(query_plan, order_descr, limit, description);
|
|
}
|
|
|
|
void InterpreterSelectQuery::executeMergeSorted(QueryPlan & query_plan, const SortDescription & sort_description, UInt64 limit, const std::string & description)
|
|
{
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
auto merging_sorted = std::make_unique<MergingSortedStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
sort_description,
|
|
settings.max_block_size, limit);
|
|
|
|
merging_sorted->setStepDescription("Merge sorted streams " + description);
|
|
query_plan.addStep(std::move(merging_sorted));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeProjection(QueryPlan & query_plan, const ExpressionActionsPtr & expression)
|
|
{
|
|
auto projection_step = std::make_unique<ExpressionStep>(query_plan.getCurrentDataStream(), expression);
|
|
projection_step->setStepDescription("Projection");
|
|
query_plan.addStep(std::move(projection_step));
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeDistinct(QueryPlan & query_plan, bool before_order, Names columns, bool pre_distinct)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
if (query.distinct)
|
|
{
|
|
const Settings & settings = context->getSettingsRef();
|
|
|
|
auto [limit_length, limit_offset] = getLimitLengthAndOffset(query, *context);
|
|
UInt64 limit_for_distinct = 0;
|
|
|
|
/// If after this stage of DISTINCT ORDER BY is not executed,
|
|
/// then you can get no more than limit_length + limit_offset of different rows.
|
|
if ((!query.orderBy() || !before_order) && limit_length <= std::numeric_limits<UInt64>::max() - limit_offset)
|
|
limit_for_distinct = limit_length + limit_offset;
|
|
|
|
SizeLimits limits(settings.max_rows_in_distinct, settings.max_bytes_in_distinct, settings.distinct_overflow_mode);
|
|
|
|
auto distinct_step = std::make_unique<DistinctStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
limits, limit_for_distinct, columns, pre_distinct);
|
|
|
|
if (pre_distinct)
|
|
distinct_step->setStepDescription("Preliminary DISTINCT");
|
|
|
|
query_plan.addStep(std::move(distinct_step));
|
|
}
|
|
}
|
|
|
|
|
|
/// Preliminary LIMIT - is used in every source, if there are several sources, before they are combined.
|
|
void InterpreterSelectQuery::executePreLimit(QueryPlan & query_plan, bool do_not_skip_offset)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
/// If there is LIMIT
|
|
if (query.limitLength())
|
|
{
|
|
auto [limit_length, limit_offset] = getLimitLengthAndOffset(query, *context);
|
|
|
|
if (do_not_skip_offset)
|
|
{
|
|
if (limit_length > std::numeric_limits<UInt64>::max() - limit_offset)
|
|
return;
|
|
|
|
limit_length += limit_offset;
|
|
limit_offset = 0;
|
|
}
|
|
|
|
auto limit = std::make_unique<LimitStep>(query_plan.getCurrentDataStream(), limit_length, limit_offset);
|
|
limit->setStepDescription("preliminary LIMIT");
|
|
query_plan.addStep(std::move(limit));
|
|
}
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeLimitBy(QueryPlan & query_plan)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
if (!query.limitByLength() || !query.limitBy())
|
|
return;
|
|
|
|
Names columns;
|
|
for (const auto & elem : query.limitBy()->children)
|
|
columns.emplace_back(elem->getColumnName());
|
|
|
|
UInt64 length = getLimitUIntValue(query.limitByLength(), *context, "LIMIT");
|
|
UInt64 offset = (query.limitByOffset() ? getLimitUIntValue(query.limitByOffset(), *context, "OFFSET") : 0);
|
|
|
|
auto limit_by = std::make_unique<LimitByStep>(query_plan.getCurrentDataStream(), length, offset, columns);
|
|
query_plan.addStep(std::move(limit_by));
|
|
}
|
|
|
|
void InterpreterSelectQuery::executeWithFill(QueryPlan & query_plan)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
if (query.orderBy())
|
|
{
|
|
SortDescription order_descr = getSortDescription(query, *context);
|
|
SortDescription fill_descr;
|
|
for (auto & desc : order_descr)
|
|
{
|
|
if (desc.with_fill)
|
|
fill_descr.push_back(desc);
|
|
}
|
|
|
|
if (fill_descr.empty())
|
|
return;
|
|
|
|
auto filling_step = std::make_unique<FillingStep>(query_plan.getCurrentDataStream(), std::move(fill_descr));
|
|
query_plan.addStep(std::move(filling_step));
|
|
}
|
|
}
|
|
|
|
|
|
void InterpreterSelectQuery::executeLimit(QueryPlan & query_plan)
|
|
{
|
|
auto & query = getSelectQuery();
|
|
/// If there is LIMIT
|
|
if (query.limitLength())
|
|
{
|
|
/** Rare case:
|
|
* if there is no WITH TOTALS and there is a subquery in FROM, and there is WITH TOTALS on one of the levels,
|
|
* then when using LIMIT, you should read the data to the end, rather than cancel the query earlier,
|
|
* because if you cancel the query, we will not get `totals` data from the remote server.
|
|
*
|
|
* Another case:
|
|
* if there is WITH TOTALS and there is no ORDER BY, then read the data to the end,
|
|
* otherwise TOTALS is counted according to incomplete data.
|
|
*/
|
|
bool always_read_till_end = false;
|
|
|
|
if (query.group_by_with_totals && !query.orderBy())
|
|
always_read_till_end = true;
|
|
|
|
if (!query.group_by_with_totals && hasWithTotalsInAnySubqueryInFromClause(query))
|
|
always_read_till_end = true;
|
|
|
|
UInt64 limit_length;
|
|
UInt64 limit_offset;
|
|
std::tie(limit_length, limit_offset) = getLimitLengthAndOffset(query, *context);
|
|
|
|
SortDescription order_descr;
|
|
if (query.limit_with_ties)
|
|
{
|
|
if (!query.orderBy())
|
|
throw Exception("LIMIT WITH TIES without ORDER BY", ErrorCodes::LOGICAL_ERROR);
|
|
order_descr = getSortDescription(query, *context);
|
|
}
|
|
|
|
auto limit = std::make_unique<LimitStep>(
|
|
query_plan.getCurrentDataStream(),
|
|
limit_length, limit_offset, always_read_till_end, query.limit_with_ties, order_descr);
|
|
|
|
if (query.limit_with_ties)
|
|
limit->setStepDescription("LIMIT WITH TIES");
|
|
|
|
query_plan.addStep(std::move(limit));
|
|
}
|
|
}
|
|
|
|
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void InterpreterSelectQuery::executeOffset(QueryPlan & query_plan)
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{
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auto & query = getSelectQuery();
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/// If there is not a LIMIT but an offset
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if (!query.limitLength() && query.limitOffset())
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{
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UInt64 limit_length;
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UInt64 limit_offset;
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std::tie(limit_length, limit_offset) = getLimitLengthAndOffset(query, *context);
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auto offsets_step = std::make_unique<OffsetStep>(query_plan.getCurrentDataStream(), limit_offset);
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query_plan.addStep(std::move(offsets_step));
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}
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}
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void InterpreterSelectQuery::executeExtremes(QueryPlan & query_plan)
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{
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if (!context->getSettingsRef().extremes)
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return;
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auto extremes_step = std::make_unique<ExtremesStep>(query_plan.getCurrentDataStream());
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query_plan.addStep(std::move(extremes_step));
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}
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void InterpreterSelectQuery::executeSubqueriesInSetsAndJoins(QueryPlan & query_plan, const SubqueriesForSets & subqueries_for_sets)
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{
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if (query_info.input_order_info)
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executeMergeSorted(query_plan, query_info.input_order_info->order_key_prefix_descr, 0, "before creating sets for subqueries and joins");
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const Settings & settings = context->getSettingsRef();
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auto creating_sets = std::make_unique<CreatingSetsStep>(
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query_plan.getCurrentDataStream(),
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subqueries_for_sets,
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SizeLimits(settings.max_rows_to_transfer, settings.max_bytes_to_transfer, settings.transfer_overflow_mode),
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*context);
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creating_sets->setStepDescription("Create sets for subqueries and joins");
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query_plan.addStep(std::move(creating_sets));
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}
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void InterpreterSelectQuery::ignoreWithTotals()
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{
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getSelectQuery().group_by_with_totals = false;
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}
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void InterpreterSelectQuery::initSettings()
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{
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auto & query = getSelectQuery();
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if (query.settings())
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InterpreterSetQuery(query.settings(), *context).executeForCurrentContext();
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}
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}
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