#pragma once #include #include #include #include #include #include #include #include #include #include #include #include #include #include namespace DB { /** Data structure for implementation of JOIN. * It is just a hash table: keys -> rows of joined ("right") table. * Additionally, CROSS JOIN is supported: instead of hash table, it use just set of blocks without keys. * * JOIN-s could be of nine types: ANY/ALL × LEFT/INNER/RIGHT/FULL, and also CROSS. * * If ANY is specified - then select only one row from the "right" table, (first encountered row), even if there was more matching rows. * If ALL is specified - usual JOIN, when rows are multiplied by number of matching rows from the "right" table. * ANY is more efficient. * * If INNER is specified - leave only rows that have matching rows from "right" table. * If LEFT is specified - in case when there is no matching row in "right" table, fill it with default values instead. * If RIGHT is specified - first process as INNER, but track what rows from the right table was joined, * and at the end, add rows from right table that was not joined and substitute default values for columns of left table. * If FULL is specified - first process as LEFT, but track what rows from the right table was joined, * and at the end, add rows from right table that was not joined and substitute default values for columns of left table. * * Thus, LEFT and RIGHT JOINs are not symmetric in terms of implementation. * * All JOINs (except CROSS) are done by equality condition on keys (equijoin). * Non-equality and other conditions are not supported. * * Implementation: * * 1. Build hash table in memory from "right" table. * This hash table is in form of keys -> row in case of ANY or keys -> [rows...] in case of ALL. * This is done in insertFromBlock method. * * 2. Process "left" table and join corresponding rows from "right" table by lookups in the map. * This is done in joinBlock methods. * * In case of ANY LEFT JOIN - form new columns with found values or default values. * This is the most simple. Number of rows in left table does not change. * * In case of ANY INNER JOIN - form new columns with found values, * and also build a filter - in what rows nothing was found. * Then filter columns of "left" table. * * In case of ALL ... JOIN - form new columns with all found rows, * and also fill 'offsets' array, describing how many times we need to replicate values of "left" table. * Then replicate columns of "left" table. * * How Nullable keys are processed: * * NULLs never join to anything, even to each other. * During building of map, we just skip keys with NULL value of any component. * During joining, we simply treat rows with any NULLs in key as non joined. * * Default values for outer joins (LEFT, RIGHT, FULL): * * Behaviour is controlled by 'join_use_nulls' settings. * If it is false, we substitute (global) default value for the data type, for non-joined rows * (zero, empty string, etc. and NULL for Nullable data types). * If it is true, we always generate Nullable column and substitute NULLs for non-joined rows, * as in standard SQL. */ class Join { public: Join(const Names & key_names_right_, bool use_nulls_, const SizeLimits & limits, ASTTableJoin::Kind kind_, ASTTableJoin::Strictness strictness_, bool any_take_last_row_ = false); bool empty() { return type == Type::EMPTY; } /** Set information about structure of right hand of JOIN (joined data). * You must call this method before subsequent calls to insertFromBlock. */ void setSampleBlock(const Block & block); /** Add block of data from right hand of JOIN to the map. * Returns false, if some limit was exceeded and you should not insert more data. */ bool insertFromBlock(const Block & block); /** Join data from the map (that was previously built by calls to insertFromBlock) to the block with data from "left" table. * Could be called from different threads in parallel. */ void joinBlock(Block & block, const Names & key_names_left, const NamesAndTypesList & columns_added_by_join) const; /// Infer the return type for joinGet function DataTypePtr joinGetReturnType(const String & column_name) const; /// Used by joinGet function that turns StorageJoin into a dictionary void joinGet(Block & block, const String & column_name) const; /** Keep "totals" (separate part of dataset, see WITH TOTALS) to use later. */ void setTotals(const Block & block) { totals = block; } bool hasTotals() const { return totals; } void joinTotals(Block & block) const; /** For RIGHT and FULL JOINs. * A stream that will contain default values from left table, joined with rows from right table, that was not joined before. * Use only after all calls to joinBlock was done. * left_sample_block is passed without account of 'use_nulls' setting (columns will be converted to Nullable inside). */ BlockInputStreamPtr createStreamWithNonJoinedRows(const Block & left_sample_block, const Names & key_names_left, const NamesAndTypesList & columns_added_by_join, UInt64 max_block_size) const; /// Number of keys in all built JOIN maps. size_t getTotalRowCount() const; /// Sum size in bytes of all buffers, used for JOIN maps and for all memory pools. size_t getTotalByteCount() const; ASTTableJoin::Kind getKind() const { return kind; } /// Reference to the row in block. struct RowRef { const Block * block; size_t row_num; RowRef() {} RowRef(const Block * block_, size_t row_num_) : block(block_), row_num(row_num_) {} }; /// Single linked list of references to rows. Used for ALL JOINs (non-unique JOINs) struct RowRefList : RowRef { RowRefList * next = nullptr; RowRefList() {} RowRefList(const Block * block_, size_t row_num_) : RowRef(block_, row_num_) {} }; /** Depending on template parameter, adds or doesn't add a flag, that element was used (row was joined). * Depending on template parameter, decide whether to overwrite existing values when encountering the same key again * with_used is for implementation of RIGHT and FULL JOINs. * overwrite is for implementation of StorageJoin with overwrite setting enabled * NOTE: It is possible to store the flag in one bit of pointer to block or row_num. It seems not reasonable, because memory saving is minimal. */ template struct WithFlags; template struct WithFlags : Base { static constexpr bool overwrite = overwrite_; mutable std::atomic used {}; using Base::Base; using Base_t = Base; void setUsed() const { used.store(true, std::memory_order_relaxed); } /// Could be set simultaneously from different threads. bool getUsed() const { return used; } }; template struct WithFlags : Base { static constexpr bool overwrite = overwrite_; using Base::Base; using Base_t = Base; void setUsed() const {} bool getUsed() const { return true; } }; /// Different types of keys for maps. #define APPLY_FOR_JOIN_VARIANTS(M) \ M(key8) \ M(key16) \ M(key32) \ M(key64) \ M(key_string) \ M(key_fixed_string) \ M(keys128) \ M(keys256) \ M(hashed) /// Used for reading from StorageJoin and applying joinGet function #define APPLY_FOR_JOIN_VARIANTS_LIMITED(M) \ M(key8) \ M(key16) \ M(key32) \ M(key64) \ M(key_string) \ M(key_fixed_string) enum class Type { EMPTY, CROSS, #define M(NAME) NAME, APPLY_FOR_JOIN_VARIANTS(M) #undef M }; /** Different data structures, that are used to perform JOIN. */ template struct MapsTemplate { std::unique_ptr> key8; std::unique_ptr> key16; std::unique_ptr>> key32; std::unique_ptr>> key64; std::unique_ptr> key_string; std::unique_ptr> key_fixed_string; std::unique_ptr> keys128; std::unique_ptr> keys256; std::unique_ptr> hashed; }; using MapsAny = MapsTemplate>; using MapsAnyOverwrite = MapsTemplate>; using MapsAll = MapsTemplate>; using MapsAnyFull = MapsTemplate>; using MapsAnyFullOverwrite = MapsTemplate>; using MapsAllFull = MapsTemplate>; template struct KindTrait { // Affects the Adder trait so that when the right part is empty, adding a default value on the left static constexpr bool fill_left = static_in_v; // Affects the Map trait so that a `used` flag is attached to map slots in order to // generate default values on the right when the left part is empty static constexpr bool fill_right = static_in_v; }; template struct MapGetterImpl; template using Map = typename MapGetterImpl::fill_right, strictness, overwrite>::Map; static constexpr std::array STRICTNESSES = {ASTTableJoin::Strictness::Any, ASTTableJoin::Strictness::All}; static constexpr std::array KINDS = {ASTTableJoin::Kind::Left, ASTTableJoin::Kind::Inner, ASTTableJoin::Kind::Full, ASTTableJoin::Kind::Right}; struct MapInitTag {}; template bool dispatch(Func && func) { if (any_take_last_row) { return static_for<0, KINDS.size()>([&](auto i) { if (kind == KINDS[i] && strictness == ASTTableJoin::Strictness::Any) { if constexpr (std::is_same_v) maps = Map(); else func( std::integral_constant(), std::integral_constant(), std::get>(maps)); return true; } return false; }); } else { return static_for<0, KINDS.size() * STRICTNESSES.size()>([&](auto ij) { // NOTE: Avoid using nested static loop as GCC and CLANG have bugs in different ways // See https://stackoverflow.com/questions/44386415/gcc-and-clang-disagree-about-c17-constexpr-lambda-captures constexpr auto i = ij / STRICTNESSES.size(); constexpr auto j = ij % STRICTNESSES.size(); if (kind == KINDS[i] && strictness == STRICTNESSES[j]) { if constexpr (std::is_same_v) maps = Map(); else func( std::integral_constant(), std::integral_constant(), std::get>(maps)); return true; } return false; }); } } template bool dispatch(Func && func) const { return const_cast(*this).dispatch(std::forward(func)); } private: friend class NonJoinedBlockInputStream; friend class JoinBlockInputStream; ASTTableJoin::Kind kind; ASTTableJoin::Strictness strictness; /// Names of key columns (columns for equi-JOIN) in "right" table (in the order they appear in USING clause). const Names key_names_right; /// Substitute NULLs for non-JOINed rows. bool use_nulls; /// Overwrite existing values when encountering the same key again bool any_take_last_row; /** Blocks of "right" table. */ BlocksList blocks; std::variant maps; /// Additional data - strings for string keys and continuation elements of single-linked lists of references to rows. Arena pool; private: Type type = Type::EMPTY; static Type chooseMethod(const ColumnRawPtrs & key_columns, Sizes & key_sizes); Sizes key_sizes; /// Block with columns from the right-side table except key columns. Block sample_block_with_columns_to_add; /// Block with key columns in the same order they appear in the right-side table. Block sample_block_with_keys; Poco::Logger * log; /// Limits for maximum map size. SizeLimits limits; Block totals; /** Protect state for concurrent use in insertFromBlock and joinBlock. * Note that these methods could be called simultaneously only while use of StorageJoin, * and StorageJoin only calls these two methods. * That's why another methods are not guarded. */ mutable std::shared_mutex rwlock; void init(Type type_); /// Throw an exception if blocks have different types of key columns. void checkTypesOfKeys(const Block & block_left, const Names & key_names_left, const Block & block_right) const; template void joinBlockImpl( Block & block, const Names & key_names_left, const NamesAndTypesList & columns_added_by_join, const Block & block_with_columns_to_add, const Maps & maps) const; void joinBlockImplCross(Block & block) const; template void joinGetImpl(Block & block, const String & column_name, const Maps & maps) const; }; using JoinPtr = std::shared_ptr; using Joins = std::vector; template struct Join::MapGetterImpl { using Map = std::conditional_t; }; template struct Join::MapGetterImpl { using Map = std::conditional_t; }; template <> struct Join::MapGetterImpl { using Map = MapsAll; }; template <> struct Join::MapGetterImpl { using Map = MapsAllFull; }; }