#pragma once #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include "Aliases.h" namespace DB { namespace ErrorCodes { extern const int LOGICAL_ERROR; } ConfigurationPtr getConfigurationFromXMLString(const std::string & xml_data); String getQuotedTable(const String & database, const String & table); String getQuotedTable(const DatabaseAndTableName & db_and_table); enum class TaskState { Started = 0, Finished, Unknown }; /// Used to mark status of shard partition tasks struct TaskStateWithOwner { TaskStateWithOwner() = default; TaskStateWithOwner(TaskState state_, const String & owner_) : state(state_), owner(owner_) {} TaskState state{TaskState::Unknown}; String owner; static String getData(TaskState state, const String &owner) { return TaskStateWithOwner(state, owner).toString(); } String toString() { WriteBufferFromOwnString wb; wb << static_cast(state) << "\n" << escape << owner; return wb.str(); } static TaskStateWithOwner fromString(const String & data) { ReadBufferFromString rb(data); TaskStateWithOwner res; UInt32 state; rb >> state >> "\n" >> escape >> res.owner; if (state >= static_cast(TaskState::Unknown)) throw Exception("Unknown state " + data, ErrorCodes::LOGICAL_ERROR); res.state = static_cast(state); return res; } }; struct ShardPriority { UInt8 is_remote = 1; size_t hostname_difference = 0; UInt8 random = 0; static bool greaterPriority(const ShardPriority & current, const ShardPriority & other) { return std::forward_as_tuple(current.is_remote, current.hostname_difference, current.random) < std::forward_as_tuple(other.is_remote, other.hostname_difference, other.random); } }; /// Execution status of a task. /// Is used for: partition copying task status, partition piece copying task status, partition moving task status. enum class TaskStatus { Active, Finished, Error, }; struct MultiTransactionInfo { int32_t code; Coordination::Requests requests; Coordination::Responses responses; }; // Creates AST representing 'ENGINE = Distributed(cluster, db, table, [sharding_key]) std::shared_ptr createASTStorageDistributed( const String & cluster_name, const String & database, const String & table, const ASTPtr & sharding_key_ast = nullptr); Block getBlockWithAllStreamData(QueryPipeline pipeline); bool isExtendedDefinitionStorage(const ASTPtr & storage_ast); ASTPtr extractPartitionKey(const ASTPtr & storage_ast); /* * Choosing a Primary Key that Differs from the Sorting Key * It is possible to specify a primary key (an expression with values that are written in the index file for each mark) * that is different from the sorting key (an expression for sorting the rows in data parts). * In this case the primary key expression tuple must be a prefix of the sorting key expression tuple. * This feature is helpful when using the SummingMergeTree and AggregatingMergeTree table engines. * In a common case when using these engines, the table has two types of columns: dimensions and measures. * Typical queries aggregate values of measure columns with arbitrary GROUP BY and filtering by dimensions. * Because SummingMergeTree and AggregatingMergeTree aggregate rows with the same value of the sorting key, * it is natural to add all dimensions to it. As a result, the key expression consists of a long list of columns * and this list must be frequently updated with newly added dimensions. * In this case it makes sense to leave only a few columns in the primary key that will provide efficient * range scans and add the remaining dimension columns to the sorting key tuple. * ALTER of the sorting key is a lightweight operation because when a new column is simultaneously added t * o the table and to the sorting key, existing data parts don't need to be changed. * Since the old sorting key is a prefix of the new sorting key and there is no data in the newly added column, * the data is sorted by both the old and new sorting keys at the moment of table modification. * * */ ASTPtr extractPrimaryKey(const ASTPtr & storage_ast); ASTPtr extractOrderBy(const ASTPtr & storage_ast); Names extractPrimaryKeyColumnNames(const ASTPtr & storage_ast); bool isReplicatedTableEngine(const ASTPtr & storage_ast); ShardPriority getReplicasPriority(const Cluster::Addresses & replicas, const std::string & local_hostname, UInt8 random); }