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742 lines
28 KiB
C++
742 lines
28 KiB
C++
#include "MutationsInterpreter.h"
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#include <Functions/FunctionFactory.h>
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#include <Functions/IFunction.h>
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#include <Interpreters/InDepthNodeVisitor.h>
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#include <Interpreters/InterpreterSelectQuery.h>
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#include <Interpreters/MutationsInterpreter.h>
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#include <Interpreters/SyntaxAnalyzer.h>
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#include <Storages/MergeTree/MergeTreeData.h>
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#include <DataStreams/FilterBlockInputStream.h>
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#include <DataStreams/ExpressionBlockInputStream.h>
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#include <DataStreams/CreatingSetsBlockInputStream.h>
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#include <DataStreams/MaterializingBlockInputStream.h>
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#include <DataStreams/NullBlockInputStream.h>
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#include <Parsers/ASTIdentifier.h>
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#include <Parsers/ASTFunction.h>
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#include <Parsers/ASTLiteral.h>
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#include <Parsers/ASTExpressionList.h>
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#include <Parsers/ASTSelectQuery.h>
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#include <Parsers/formatAST.h>
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#include <Parsers/ASTOrderByElement.h>
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#include <IO/WriteHelpers.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 BAD_ARGUMENTS;
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extern const int LOGICAL_ERROR;
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extern const int UNKNOWN_MUTATION_COMMAND;
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extern const int NO_SUCH_COLUMN_IN_TABLE;
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extern const int CANNOT_UPDATE_COLUMN;
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}
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namespace
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{
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struct FirstNonDeterministicFuncData
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{
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using TypeToVisit = ASTFunction;
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explicit FirstNonDeterministicFuncData(const Context & context_)
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: context{context_}
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{}
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const Context & context;
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std::optional<String> nondeterministic_function_name;
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void visit(ASTFunction & function, ASTPtr &)
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{
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if (nondeterministic_function_name)
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return;
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const auto func = FunctionFactory::instance().get(function.name, context);
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if (!func->isDeterministic())
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nondeterministic_function_name = func->getName();
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}
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};
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using FirstNonDeterministicFuncFinder =
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InDepthNodeVisitor<OneTypeMatcher<FirstNonDeterministicFuncData>, true>;
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std::optional<String> findFirstNonDeterministicFuncName(const MutationCommand & command, const Context & context)
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{
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FirstNonDeterministicFuncData finder_data(context);
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switch (command.type)
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{
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case MutationCommand::UPDATE:
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{
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auto update_assignments_ast = command.ast->as<const ASTAlterCommand &>().update_assignments->clone();
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FirstNonDeterministicFuncFinder(finder_data).visit(update_assignments_ast);
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if (finder_data.nondeterministic_function_name)
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return finder_data.nondeterministic_function_name;
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[[fallthrough]];
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}
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case MutationCommand::DELETE:
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{
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auto predicate_ast = command.predicate->clone();
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FirstNonDeterministicFuncFinder(finder_data).visit(predicate_ast);
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return finder_data.nondeterministic_function_name;
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}
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default:
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break;
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}
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return {};
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}
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ASTPtr prepareQueryAffectedAST(const std::vector<MutationCommand> & commands)
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{
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/// Execute `SELECT count() FROM storage WHERE predicate1 OR predicate2 OR ...` query.
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/// The result can differ from tne number of affected rows (e.g. if there is an UPDATE command that
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/// changes how many rows satisfy the predicates of the subsequent commands).
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/// But we can be sure that if count = 0, then no rows will be touched.
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auto select = std::make_shared<ASTSelectQuery>();
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select->setExpression(ASTSelectQuery::Expression::SELECT, std::make_shared<ASTExpressionList>());
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auto count_func = std::make_shared<ASTFunction>();
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count_func->name = "count";
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count_func->arguments = std::make_shared<ASTExpressionList>();
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select->select()->children.push_back(count_func);
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if (commands.size() == 1)
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select->setExpression(ASTSelectQuery::Expression::WHERE, commands[0].predicate->clone());
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else
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{
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auto coalesced_predicates = std::make_shared<ASTFunction>();
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coalesced_predicates->name = "or";
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coalesced_predicates->arguments = std::make_shared<ASTExpressionList>();
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coalesced_predicates->children.push_back(coalesced_predicates->arguments);
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for (const MutationCommand & command : commands)
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coalesced_predicates->arguments->children.push_back(command.predicate->clone());
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select->setExpression(ASTSelectQuery::Expression::WHERE, std::move(coalesced_predicates));
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}
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return select;
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}
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ColumnDependencies getAllColumnDependencies(const StoragePtr & storage, const NameSet & updated_columns)
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{
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NameSet new_updated_columns = updated_columns;
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ColumnDependencies dependencies;
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while (!new_updated_columns.empty())
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{
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auto new_dependencies = storage->getColumnDependencies(new_updated_columns);
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new_updated_columns.clear();
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for (const auto & dependency : new_dependencies)
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{
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if (!dependencies.count(dependency))
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{
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dependencies.insert(dependency);
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if (!dependency.isReadOnly())
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new_updated_columns.insert(dependency.column_name);
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}
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}
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}
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return dependencies;
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}
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};
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bool isStorageTouchedByMutations(
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StoragePtr storage,
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const std::vector<MutationCommand> & commands,
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Context context_copy)
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{
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if (commands.empty())
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return false;
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for (const MutationCommand & command : commands)
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{
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if (!command.predicate) /// The command touches all rows.
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return true;
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}
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context_copy.getSettingsRef().max_streams_to_max_threads_ratio = 1;
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context_copy.getSettingsRef().max_threads = 1;
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ASTPtr select_query = prepareQueryAffectedAST(commands);
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/// Interpreter must be alive, when we use result of execute() method.
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/// For some reason it may copy context and and give it into ExpressionBlockInputStream
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/// after that we will use context from destroyed stack frame in our stream.
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InterpreterSelectQuery interpreter(select_query, context_copy, storage, SelectQueryOptions().ignoreLimits());
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BlockInputStreamPtr in = interpreter.execute().in;
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Block block = in->read();
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if (!block.rows())
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return false;
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else if (block.rows() != 1)
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throw Exception("count() expression returned " + toString(block.rows()) + " rows, not 1",
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ErrorCodes::LOGICAL_ERROR);
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auto count = (*block.getByName("count()").column)[0].get<UInt64>();
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return count != 0;
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}
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MutationsInterpreter::MutationsInterpreter(
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StoragePtr storage_,
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MutationCommands commands_,
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const Context & context_,
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bool can_execute_)
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: storage(std::move(storage_))
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, commands(std::move(commands_))
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, context(context_)
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, can_execute(can_execute_)
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{
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mutation_ast = prepare(!can_execute);
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SelectQueryOptions limits = SelectQueryOptions().analyze(!can_execute).ignoreLimits();
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select_interpreter = std::make_unique<InterpreterSelectQuery>(mutation_ast, context, storage, limits);
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}
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static NameSet getKeyColumns(const StoragePtr & storage)
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{
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const MergeTreeData * merge_tree_data = dynamic_cast<const MergeTreeData *>(storage.get());
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if (!merge_tree_data)
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return {};
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NameSet key_columns;
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if (merge_tree_data->partition_key_expr)
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for (const String & col : merge_tree_data->partition_key_expr->getRequiredColumns())
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key_columns.insert(col);
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auto sorting_key_expr = merge_tree_data->sorting_key_expr;
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if (sorting_key_expr)
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for (const String & col : sorting_key_expr->getRequiredColumns())
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key_columns.insert(col);
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/// We don't process sample_by_ast separately because it must be among the primary key columns.
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if (!merge_tree_data->merging_params.sign_column.empty())
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key_columns.insert(merge_tree_data->merging_params.sign_column);
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if (!merge_tree_data->merging_params.version_column.empty())
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key_columns.insert(merge_tree_data->merging_params.version_column);
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return key_columns;
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}
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static void validateUpdateColumns(
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const StoragePtr & storage, const NameSet & updated_columns,
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const std::unordered_map<String, Names> & column_to_affected_materialized)
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{
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NameSet key_columns = getKeyColumns(storage);
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for (const String & column_name : updated_columns)
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{
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auto found = false;
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for (const auto & col : storage->getColumns().getOrdinary())
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{
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if (col.name == column_name)
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{
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found = true;
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break;
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}
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}
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if (!found)
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{
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for (const auto & col : storage->getColumns().getMaterialized())
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{
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if (col.name == column_name)
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throw Exception("Cannot UPDATE materialized column " + backQuote(column_name), ErrorCodes::CANNOT_UPDATE_COLUMN);
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}
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throw Exception("There is no column " + backQuote(column_name) + " in table", ErrorCodes::NO_SUCH_COLUMN_IN_TABLE);
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}
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if (key_columns.count(column_name))
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throw Exception("Cannot UPDATE key column " + backQuote(column_name), ErrorCodes::CANNOT_UPDATE_COLUMN);
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auto materialized_it = column_to_affected_materialized.find(column_name);
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if (materialized_it != column_to_affected_materialized.end())
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{
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for (const String & materialized : materialized_it->second)
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{
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if (key_columns.count(materialized))
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throw Exception("Updated column " + backQuote(column_name) + " affects MATERIALIZED column "
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+ backQuote(materialized) + ", which is a key column. Cannot UPDATE it.",
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ErrorCodes::CANNOT_UPDATE_COLUMN);
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}
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}
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}
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}
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ASTPtr MutationsInterpreter::prepare(bool dry_run)
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{
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if (is_prepared)
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throw Exception("MutationsInterpreter is already prepared. It is a bug.", ErrorCodes::LOGICAL_ERROR);
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if (commands.empty())
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throw Exception("Empty mutation commands list", ErrorCodes::LOGICAL_ERROR);
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const ColumnsDescription & columns_desc = storage->getColumns();
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const IndicesDescription & indices_desc = storage->getIndices();
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NamesAndTypesList all_columns = columns_desc.getAllPhysical();
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NameSet updated_columns;
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for (const MutationCommand & command : commands)
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{
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for (const auto & kv : command.column_to_update_expression)
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{
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updated_columns.insert(kv.first);
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}
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}
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/// We need to know which columns affect which MATERIALIZED columns and data skipping indices
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/// to recalculate them if dependencies are updated.
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std::unordered_map<String, Names> column_to_affected_materialized;
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if (!updated_columns.empty())
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{
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for (const auto & column : columns_desc)
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{
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if (column.default_desc.kind == ColumnDefaultKind::Materialized)
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{
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auto query = column.default_desc.expression->clone();
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auto syntax_result = SyntaxAnalyzer(context).analyze(query, all_columns);
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for (const String & dependency : syntax_result->requiredSourceColumns())
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{
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if (updated_columns.count(dependency))
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column_to_affected_materialized[dependency].push_back(column.name);
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}
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}
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}
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validateUpdateColumns(storage, updated_columns, column_to_affected_materialized);
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}
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/// Columns, that we need to read for calculation of skip indices or TTL expressions.
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auto dependencies = getAllColumnDependencies(storage, updated_columns);
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/// First, break a sequence of commands into stages.
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for (const auto & command : commands)
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{
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if (command.type == MutationCommand::DELETE)
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{
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if (stages.empty() || !stages.back().column_to_updated.empty())
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stages.emplace_back(context);
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auto negated_predicate = makeASTFunction("not", command.predicate->clone());
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stages.back().filters.push_back(negated_predicate);
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}
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else if (command.type == MutationCommand::UPDATE)
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{
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if (stages.empty() || !stages.back().column_to_updated.empty())
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stages.emplace_back(context);
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if (stages.size() == 1) /// First stage only supports filtering and can't update columns.
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stages.emplace_back(context);
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NameSet affected_materialized;
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for (const auto & kv : command.column_to_update_expression)
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{
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const String & column = kv.first;
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auto materialized_it = column_to_affected_materialized.find(column);
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if (materialized_it != column_to_affected_materialized.end())
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{
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for (const String & mat_column : materialized_it->second)
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affected_materialized.emplace(mat_column);
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}
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/// Just to be sure, that we don't change type
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/// after update expression execution.
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const auto & update_expr = kv.second;
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auto updated_column = makeASTFunction("CAST",
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makeASTFunction("if",
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command.predicate->clone(),
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update_expr->clone(),
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std::make_shared<ASTIdentifier>(column)),
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std::make_shared<ASTLiteral>(columns_desc.getPhysical(column).type->getName()));
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stages.back().column_to_updated.emplace(column, updated_column);
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}
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if (!affected_materialized.empty())
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{
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stages.emplace_back(context);
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for (const auto & column : columns_desc)
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{
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if (column.default_desc.kind == ColumnDefaultKind::Materialized)
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{
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stages.back().column_to_updated.emplace(
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column.name,
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column.default_desc.expression->clone());
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}
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}
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}
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}
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else if (command.type == MutationCommand::MATERIALIZE_INDEX)
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{
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auto it = std::find_if(
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std::cbegin(indices_desc.indices), std::end(indices_desc.indices),
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[&](const std::shared_ptr<ASTIndexDeclaration> & index)
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{
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return index->name == command.index_name;
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});
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if (it == std::cend(indices_desc.indices))
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throw Exception("Unknown index: " + command.index_name, ErrorCodes::BAD_ARGUMENTS);
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auto query = (*it)->expr->clone();
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auto syntax_result = SyntaxAnalyzer(context).analyze(query, all_columns);
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const auto required_columns = syntax_result->requiredSourceColumns();
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for (const auto & column : required_columns)
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dependencies.emplace(column, ColumnDependency::SKIP_INDEX);
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}
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else if (command.type == MutationCommand::MATERIALIZE_TTL)
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{
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if (storage->hasRowsTTL())
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{
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for (const auto & column : all_columns)
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dependencies.emplace(column.name, ColumnDependency::TTL_TARGET);
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}
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else
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{
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NameSet new_updated_columns;
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auto column_ttls = storage->getColumns().getColumnTTLs();
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for (const auto & elem : column_ttls)
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{
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dependencies.emplace(elem.first, ColumnDependency::TTL_TARGET);
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new_updated_columns.insert(elem.first);
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}
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auto all_columns_vec = all_columns.getNames();
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auto all_dependencies = getAllColumnDependencies(storage, NameSet(all_columns_vec.begin(), all_columns_vec.end()));
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for (const auto & dependency : all_dependencies)
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{
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if (dependency.kind == ColumnDependency::TTL_EXPRESSION)
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dependencies.insert(dependency);
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}
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/// Recalc only skip indices of columns, that could be updated by TTL.
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auto new_dependencies = storage->getColumnDependencies(new_updated_columns);
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for (const auto & dependency : new_dependencies)
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{
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if (dependency.kind == ColumnDependency::SKIP_INDEX)
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dependencies.insert(dependency);
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}
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if (dependencies.empty())
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{
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/// Very rare case. It can happen if we have only one MOVE TTL with constant expression.
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/// But we still have to read at least one column.
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dependencies.emplace(all_columns.front().name, ColumnDependency::TTL_EXPRESSION);
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}
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}
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}
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else if (command.type == MutationCommand::READ_COLUMN)
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{
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if (stages.empty() || !stages.back().column_to_updated.empty())
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stages.emplace_back(context);
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if (stages.size() == 1) /// First stage only supports filtering and can't update columns.
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stages.emplace_back(context);
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stages.back().column_to_updated.emplace(command.column_name, std::make_shared<ASTIdentifier>(command.column_name));
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}
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else
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throw Exception("Unknown mutation command type: " + DB::toString<int>(command.type), ErrorCodes::UNKNOWN_MUTATION_COMMAND);
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}
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/// We cares about affected indices because we also need to rewrite them
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/// when one of index columns updated or filtered with delete.
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/// The same about colums, that are needed for calculation of TTL expressions.
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if (!dependencies.empty())
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{
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NameSet changed_columns;
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NameSet unchanged_columns;
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for (const auto & dependency : dependencies)
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{
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if (dependency.isReadOnly())
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unchanged_columns.insert(dependency.column_name);
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else
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changed_columns.insert(dependency.column_name);
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}
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if (!changed_columns.empty())
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{
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if (stages.empty() || !stages.back().column_to_updated.empty())
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stages.emplace_back(context);
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if (stages.size() == 1) /// First stage only supports filtering and can't update columns.
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stages.emplace_back(context);
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for (const auto & column : changed_columns)
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stages.back().column_to_updated.emplace(
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column, std::make_shared<ASTIdentifier>(column));
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}
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if (!unchanged_columns.empty())
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{
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if (!stages.empty())
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{
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std::vector<Stage> stages_copy;
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/// Copy all filled stages except index calculation stage.
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for (const auto & stage : stages)
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{
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stages_copy.emplace_back(context);
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stages_copy.back().column_to_updated = stage.column_to_updated;
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stages_copy.back().output_columns = stage.output_columns;
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stages_copy.back().filters = stage.filters;
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}
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const ASTPtr select_query = prepareInterpreterSelectQuery(stages_copy, /* dry_run = */ true);
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InterpreterSelectQuery interpreter{select_query, context, storage, SelectQueryOptions().analyze(/* dry_run = */ false).ignoreLimits()};
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auto first_stage_header = interpreter.getSampleBlock();
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auto in = std::make_shared<NullBlockInputStream>(first_stage_header);
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updated_header = std::make_unique<Block>(addStreamsForLaterStages(stages_copy, in)->getHeader());
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}
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/// Special step to recalculate affected indices and TTL expressions.
|
|
stages.emplace_back(context);
|
|
for (const auto & column : unchanged_columns)
|
|
stages.back().column_to_updated.emplace(
|
|
column, std::make_shared<ASTIdentifier>(column));
|
|
}
|
|
}
|
|
|
|
is_prepared = true;
|
|
|
|
return prepareInterpreterSelectQuery(stages, dry_run);
|
|
}
|
|
|
|
ASTPtr MutationsInterpreter::prepareInterpreterSelectQuery(std::vector<Stage> & prepared_stages, bool dry_run)
|
|
{
|
|
NamesAndTypesList all_columns = storage->getColumns().getAllPhysical();
|
|
|
|
|
|
/// Next, for each stage calculate columns changed by this and previous stages.
|
|
for (size_t i = 0; i < prepared_stages.size(); ++i)
|
|
{
|
|
if (!prepared_stages[i].filters.empty())
|
|
{
|
|
for (const auto & column : all_columns)
|
|
prepared_stages[i].output_columns.insert(column.name);
|
|
continue;
|
|
}
|
|
|
|
if (i > 0)
|
|
prepared_stages[i].output_columns = prepared_stages[i - 1].output_columns;
|
|
|
|
if (prepared_stages[i].output_columns.size() < all_columns.size())
|
|
{
|
|
for (const auto & kv : prepared_stages[i].column_to_updated)
|
|
prepared_stages[i].output_columns.insert(kv.first);
|
|
}
|
|
}
|
|
|
|
/// Now, calculate `expressions_chain` for each stage except the first.
|
|
/// Do it backwards to propagate information about columns required as input for a stage to the previous stage.
|
|
for (size_t i = prepared_stages.size() - 1; i > 0; --i)
|
|
{
|
|
auto & stage = prepared_stages[i];
|
|
|
|
ASTPtr all_asts = std::make_shared<ASTExpressionList>();
|
|
|
|
for (const auto & ast : stage.filters)
|
|
all_asts->children.push_back(ast);
|
|
|
|
for (const auto & kv : stage.column_to_updated)
|
|
all_asts->children.push_back(kv.second);
|
|
|
|
/// Add all output columns to prevent ExpressionAnalyzer from deleting them from source columns.
|
|
for (const String & column : stage.output_columns)
|
|
all_asts->children.push_back(std::make_shared<ASTIdentifier>(column));
|
|
|
|
auto syntax_result = SyntaxAnalyzer(context).analyze(all_asts, all_columns);
|
|
stage.analyzer = std::make_unique<ExpressionAnalyzer>(all_asts, syntax_result, context);
|
|
|
|
ExpressionActionsChain & actions_chain = stage.expressions_chain;
|
|
|
|
for (const auto & ast : stage.filters)
|
|
{
|
|
if (!actions_chain.steps.empty())
|
|
actions_chain.addStep();
|
|
stage.analyzer->appendExpression(actions_chain, ast, dry_run);
|
|
stage.filter_column_names.push_back(ast->getColumnName());
|
|
}
|
|
|
|
if (!stage.column_to_updated.empty())
|
|
{
|
|
if (!actions_chain.steps.empty())
|
|
actions_chain.addStep();
|
|
|
|
for (const auto & kv : stage.column_to_updated)
|
|
stage.analyzer->appendExpression(actions_chain, kv.second, dry_run);
|
|
|
|
for (const auto & kv : stage.column_to_updated)
|
|
{
|
|
actions_chain.getLastActions()->add(ExpressionAction::copyColumn(
|
|
kv.second->getColumnName(), kv.first, /* can_replace = */ true));
|
|
}
|
|
}
|
|
|
|
/// Remove all intermediate columns.
|
|
actions_chain.addStep();
|
|
actions_chain.getLastStep().required_output.assign(stage.output_columns.begin(), stage.output_columns.end());
|
|
|
|
actions_chain.finalize();
|
|
|
|
/// Propagate information about columns needed as input.
|
|
for (const auto & column : actions_chain.steps.front().actions->getRequiredColumnsWithTypes())
|
|
prepared_stages[i - 1].output_columns.insert(column.name);
|
|
}
|
|
|
|
/// Execute first stage as a SELECT statement.
|
|
|
|
auto select = std::make_shared<ASTSelectQuery>();
|
|
|
|
select->setExpression(ASTSelectQuery::Expression::SELECT, std::make_shared<ASTExpressionList>());
|
|
for (const auto & column_name : prepared_stages[0].output_columns)
|
|
select->select()->children.push_back(std::make_shared<ASTIdentifier>(column_name));
|
|
|
|
if (!prepared_stages[0].filters.empty())
|
|
{
|
|
ASTPtr where_expression;
|
|
if (prepared_stages[0].filters.size() == 1)
|
|
where_expression = prepared_stages[0].filters[0];
|
|
else
|
|
{
|
|
auto coalesced_predicates = std::make_shared<ASTFunction>();
|
|
coalesced_predicates->name = "and";
|
|
coalesced_predicates->arguments = std::make_shared<ASTExpressionList>();
|
|
coalesced_predicates->children.push_back(coalesced_predicates->arguments);
|
|
coalesced_predicates->arguments->children = prepared_stages[0].filters;
|
|
where_expression = std::move(coalesced_predicates);
|
|
}
|
|
select->setExpression(ASTSelectQuery::Expression::WHERE, std::move(where_expression));
|
|
}
|
|
auto metadata = storage->getInMemoryMetadata();
|
|
/// We have to execute select in order of primary key
|
|
/// because we don't sort results additionaly and don't have
|
|
/// any guarantees on data order without ORDER BY. It's almost free, because we
|
|
/// have optimization for data read in primary key order.
|
|
if (metadata.order_by_ast)
|
|
{
|
|
ASTPtr dummy;
|
|
|
|
ASTPtr key_expr;
|
|
if (metadata.primary_key_ast)
|
|
key_expr = metadata.primary_key_ast;
|
|
else
|
|
key_expr = metadata.order_by_ast;
|
|
|
|
bool empty = false;
|
|
/// In all other cases we cannot have empty key
|
|
if (auto key_function = key_expr->as<ASTFunction>())
|
|
empty = key_function->arguments->children.size() == 0;
|
|
|
|
/// Not explicitely spicified empty key
|
|
if (!empty)
|
|
{
|
|
auto order_by_expr = std::make_shared<ASTOrderByElement>(1, 1, false, dummy, false, dummy, dummy, dummy);
|
|
|
|
|
|
order_by_expr->children.push_back(key_expr);
|
|
auto res = std::make_shared<ASTExpressionList>();
|
|
res->children.push_back(order_by_expr);
|
|
|
|
select->setExpression(ASTSelectQuery::Expression::ORDER_BY, std::move(res));
|
|
}
|
|
}
|
|
|
|
return select;
|
|
}
|
|
|
|
BlockInputStreamPtr MutationsInterpreter::addStreamsForLaterStages(const std::vector<Stage> & prepared_stages, BlockInputStreamPtr in) const
|
|
{
|
|
for (size_t i_stage = 1; i_stage < prepared_stages.size(); ++i_stage)
|
|
{
|
|
const Stage & stage = prepared_stages[i_stage];
|
|
|
|
for (size_t i = 0; i < stage.expressions_chain.steps.size(); ++i)
|
|
{
|
|
const auto & step = stage.expressions_chain.steps[i];
|
|
if (i < stage.filter_column_names.size())
|
|
{
|
|
/// Execute DELETEs.
|
|
in = std::make_shared<FilterBlockInputStream>(in, step.actions, stage.filter_column_names[i]);
|
|
}
|
|
else
|
|
{
|
|
/// Execute UPDATE or final projection.
|
|
in = std::make_shared<ExpressionBlockInputStream>(in, step.actions);
|
|
}
|
|
}
|
|
|
|
const SubqueriesForSets & subqueries_for_sets = stage.analyzer->getSubqueriesForSets();
|
|
if (!subqueries_for_sets.empty())
|
|
in = std::make_shared<CreatingSetsBlockInputStream>(in, subqueries_for_sets, context);
|
|
}
|
|
|
|
in = std::make_shared<MaterializingBlockInputStream>(in);
|
|
|
|
return in;
|
|
}
|
|
|
|
void MutationsInterpreter::validate(TableStructureReadLockHolder &)
|
|
{
|
|
/// For Replicated* storages mutations cannot employ non-deterministic functions
|
|
/// because that produces inconsistencies between replicas
|
|
if (startsWith(storage->getName(), "Replicated"))
|
|
{
|
|
for (const auto & command : commands)
|
|
{
|
|
const auto nondeterministic_func_name = findFirstNonDeterministicFuncName(command, context);
|
|
if (nondeterministic_func_name)
|
|
throw Exception(
|
|
"ALTER UPDATE/ALTER DELETE statements must use only deterministic functions! "
|
|
"Function '" + *nondeterministic_func_name + "' is non-deterministic",
|
|
ErrorCodes::BAD_ARGUMENTS);
|
|
}
|
|
}
|
|
|
|
/// Do not use getSampleBlock in order to check the whole pipeline.
|
|
Block first_stage_header = select_interpreter->execute().in->getHeader();
|
|
BlockInputStreamPtr in = std::make_shared<NullBlockInputStream>(first_stage_header);
|
|
addStreamsForLaterStages(stages, in)->getHeader();
|
|
}
|
|
|
|
BlockInputStreamPtr MutationsInterpreter::execute(TableStructureReadLockHolder &)
|
|
{
|
|
if (!can_execute)
|
|
throw Exception("Cannot execute mutations interpreter because can_execute flag set to false", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
BlockInputStreamPtr in = select_interpreter->execute().in;
|
|
auto result_stream = addStreamsForLaterStages(stages, in);
|
|
if (!updated_header)
|
|
updated_header = std::make_unique<Block>(result_stream->getHeader());
|
|
return result_stream;
|
|
}
|
|
|
|
const Block & MutationsInterpreter::getUpdatedHeader() const
|
|
{
|
|
return *updated_header;
|
|
}
|
|
|
|
|
|
size_t MutationsInterpreter::evaluateCommandsSize()
|
|
{
|
|
for (const MutationCommand & command : commands)
|
|
if (unlikely(!command.predicate)) /// The command touches all rows.
|
|
return mutation_ast->size();
|
|
|
|
return std::max(prepareQueryAffectedAST(commands)->size(), mutation_ast->size());
|
|
}
|
|
|
|
}
|