ClickHouse/src/Interpreters/HashJoin.h

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#pragma once
#include <variant>
#include <optional>
#include <shared_mutex>
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#include <deque>
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#include <Parsers/ASTTablesInSelectQuery.h>
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#include <Interpreters/IJoin.h>
#include <Interpreters/AggregationCommon.h>
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#include <Interpreters/RowRefs.h>
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#include <Common/Arena.h>
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#include <Common/ColumnsHashing.h>
#include <Common/HashTable/HashMap.h>
A Proper lookup table that uses HashTable's API This is the first step of allowing heterogeneous cells in hash tables. performance test results are ``` 1. HashMap<UInt16, UInt8, TrivialHash, HashTableFixedGrower<16>>; 2. NewLookupMap<UInt16, UInt8> ResolutionWidth 30000 1 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................223550276.46 ResolutionWidth 30000 2 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................248772721.24 Best: 2 - 24877272124 ResolutionWidth 100000 1 ..........................................................................................................................................................................................................................................................238498413.99 ResolutionWidth 100000 2 ..........................................................................................................................................................................................................................................................261808889.98 Best: 2 - 26180888998 ResolutionWidth 300000 1 ...................................................................................239307348.81 ResolutionWidth 300000 2 ...................................................................................257592761.30 Best: 2 - 25759276130 ResolutionWidth 1000000 1 .........................240144759.26 ResolutionWidth 1000000 2 .........................257093531.91 Best: 2 - 25709353191 ResolutionWidth 5000000 1 .....241573260.35 ResolutionWidth 5000000 2 .....259314162.79 Best: 2 - 25931416279 ResolutionDepth 30000 1 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................217108119.84 ResolutionDepth 30000 2 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................249459504.41 Best: 2 - 24945950441 ResolutionDepth 100000 1 ..........................................................................................................................................................................................................................................................229065162.17 ResolutionDepth 100000 2 ..........................................................................................................................................................................................................................................................253769105.64 Best: 2 - 25376910564 ResolutionDepth 300000 1 ...................................................................................233079225.18 ResolutionDepth 300000 2 ...................................................................................256316273.78 Best: 2 - 25631627378 ResolutionDepth 1000000 1 .........................234184633.51 ResolutionDepth 1000000 2 .........................261100491.57 Best: 2 - 26110049157 ResolutionDepth 5000000 1 .....233118795.66 ResolutionDepth 5000000 2 .....252436160.41 Best: 2 - 25243616041 ```
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#include <Common/HashTable/FixedHashMap.h>
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#include <Columns/ColumnString.h>
#include <Columns/ColumnFixedString.h>
#include <DataStreams/SizeLimits.h>
#include <DataStreams/IBlockStream_fwd.h>
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namespace DB
{
class TableJoin;
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class DictionaryReader;
namespace JoinStuff
{
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/// Base class with optional flag attached that's needed to implement RIGHT and FULL JOINs.
template <typename T, bool with_used>
struct WithFlags;
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template <typename T>
struct WithFlags<T, true> : T
{
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using Base = T;
using T::T;
mutable std::atomic<bool> used {};
void setUsed() const { used.store(true, std::memory_order_relaxed); } /// Could be set simultaneously from different threads.
bool getUsed() const { return used; }
bool setUsedOnce() const
{
/// fast check to prevent heavy CAS with seq_cst order
if (used.load(std::memory_order_relaxed))
return false;
bool expected = false;
return used.compare_exchange_strong(expected, true);
}
};
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template <typename T>
struct WithFlags<T, false> : T
{
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using Base = T;
using T::T;
void setUsed() const {}
bool getUsed() const { return true; }
bool setUsedOnce() const { return true; }
};
using MappedOne = WithFlags<RowRef, false>;
using MappedAll = WithFlags<RowRefList, false>;
using MappedOneFlagged = WithFlags<RowRef, true>;
using MappedAllFlagged = WithFlags<RowRefList, true>;
using MappedAsof = WithFlags<AsofRowRefs, false>;
}
/** 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.
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*
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* JOIN-s could be of these types:
* - ALL × LEFT/INNER/RIGHT/FULL
* - ANY × LEFT/INNER/RIGHT
* - SEMI/ANTI x LEFT/RIGHT
* - ASOF x LEFT/INNER
* - CROSS
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*
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* ALL means usual JOIN, when rows are multiplied by number of matching rows from the "right" table.
* ANY uses one line per unique key from right talbe. For LEFT JOIN it would be any row (with needed joined key) from the right table,
* for RIGHT JOIN it would be any row from the left table and for INNER one it would be any row from right and any row from left.
* SEMI JOIN filter left table by keys that are present in right table for LEFT JOIN, and filter right table by keys from left table
* for RIGHT JOIN. In other words SEMI JOIN returns only rows which joining keys present in another table.
* ANTI JOIN is the same as SEMI JOIN but returns rows with joining keys that are NOT present in another table.
* SEMI/ANTI JOINs allow to get values from both tables. For filter table it gets any row with joining same key. For ANTI JOIN it returns
* defaults other table columns.
* ASOF JOIN is not-equi join. For one key column it finds nearest value to join according to join inequality.
* It's expected that ANY|SEMI LEFT JOIN is more efficient that ALL one.
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*
* 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.
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*
* All JOINs (except CROSS) are done by equality condition on keys (equijoin).
* Non-equality and other conditions are not supported.
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*
* Implementation:
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*
* 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.
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*
* 2. Process "left" table and join corresponding rows from "right" table by lookups in the map.
* This is done in joinBlock methods.
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*
* 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.
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*
* 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.
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*
* 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.
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*/
class HashJoin : public IJoin
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{
public:
HashJoin(std::shared_ptr<TableJoin> table_join_, const Block & right_sample_block, bool any_take_last_row_ = false);
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bool empty() const { return data->type == Type::EMPTY; }
bool overDictionary() const { return data->type == Type::DICT; }
/** 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.
*/
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bool addJoinedBlock(const Block & block, bool check_limits) override;
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/** Join data from the map (that was previously built by calls to addJoinedBlock) to the block with data from "left" table.
* Could be called from different threads in parallel.
*/
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void joinBlock(Block & block, ExtraBlockPtr & not_processed) override;
/// Check joinGet arguments and infer the return type.
DataTypePtr joinGetCheckAndGetReturnType(const DataTypes & data_types, const String & column_name, bool or_null) const;
/// Used by joinGet function that turns StorageJoin into a dictionary.
ColumnWithTypeAndName joinGet(const Block & block, const Block & block_with_columns_to_add) const;
/** Keep "totals" (separate part of dataset, see WITH TOTALS) to use later.
*/
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void setTotals(const Block & block) override { totals = block; }
bool hasTotals() const override { return totals; }
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void joinTotals(Block & block) const override;
/** 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).
*/
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BlockInputStreamPtr createStreamWithNonJoinedRows(const Block & result_sample_block, UInt64 max_block_size) const override;
/// Number of keys in all built JOIN maps.
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size_t getTotalRowCount() const final;
/// Sum size in bytes of all buffers, used for JOIN maps and for all memory pools.
size_t getTotalByteCount() const final;
bool alwaysReturnsEmptySet() const final { return isInnerOrRight(getKind()) && data->empty && !overDictionary(); }
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ASTTableJoin::Kind getKind() const { return kind; }
ASTTableJoin::Strictness getStrictness() const { return strictness; }
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TypeIndex getAsofType() const { return *asof_type; }
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ASOF::Inequality getAsofInequality() const { return asof_inequality; }
bool anyTakeLastRow() const { return any_take_last_row; }
/// Different types of keys for maps.
#define APPLY_FOR_JOIN_VARIANTS(M) \
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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,
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DICT,
#define M(NAME) NAME,
APPLY_FOR_JOIN_VARIANTS(M)
#undef M
};
/** Different data structures, that are used to perform JOIN.
*/
template <typename Mapped>
struct MapsTemplate
{
A Proper lookup table that uses HashTable's API This is the first step of allowing heterogeneous cells in hash tables. performance test results are ``` 1. HashMap<UInt16, UInt8, TrivialHash, HashTableFixedGrower<16>>; 2. NewLookupMap<UInt16, UInt8> ResolutionWidth 30000 1 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................223550276.46 ResolutionWidth 30000 2 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................248772721.24 Best: 2 - 24877272124 ResolutionWidth 100000 1 ..........................................................................................................................................................................................................................................................238498413.99 ResolutionWidth 100000 2 ..........................................................................................................................................................................................................................................................261808889.98 Best: 2 - 26180888998 ResolutionWidth 300000 1 ...................................................................................239307348.81 ResolutionWidth 300000 2 ...................................................................................257592761.30 Best: 2 - 25759276130 ResolutionWidth 1000000 1 .........................240144759.26 ResolutionWidth 1000000 2 .........................257093531.91 Best: 2 - 25709353191 ResolutionWidth 5000000 1 .....241573260.35 ResolutionWidth 5000000 2 .....259314162.79 Best: 2 - 25931416279 ResolutionDepth 30000 1 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................217108119.84 ResolutionDepth 30000 2 .................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................249459504.41 Best: 2 - 24945950441 ResolutionDepth 100000 1 ..........................................................................................................................................................................................................................................................229065162.17 ResolutionDepth 100000 2 ..........................................................................................................................................................................................................................................................253769105.64 Best: 2 - 25376910564 ResolutionDepth 300000 1 ...................................................................................233079225.18 ResolutionDepth 300000 2 ...................................................................................256316273.78 Best: 2 - 25631627378 ResolutionDepth 1000000 1 .........................234184633.51 ResolutionDepth 1000000 2 .........................261100491.57 Best: 2 - 26110049157 ResolutionDepth 5000000 1 .....233118795.66 ResolutionDepth 5000000 2 .....252436160.41 Best: 2 - 25243616041 ```
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std::unique_ptr<FixedHashMap<UInt8, Mapped>> key8;
std::unique_ptr<FixedHashMap<UInt16, Mapped>> key16;
std::unique_ptr<HashMap<UInt32, Mapped, HashCRC32<UInt32>>> key32;
std::unique_ptr<HashMap<UInt64, Mapped, HashCRC32<UInt64>>> key64;
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std::unique_ptr<HashMapWithSavedHash<StringRef, Mapped>> key_string;
std::unique_ptr<HashMapWithSavedHash<StringRef, Mapped>> key_fixed_string;
std::unique_ptr<HashMap<UInt128, Mapped, UInt128HashCRC32>> keys128;
std::unique_ptr<HashMap<UInt256, Mapped, UInt256HashCRC32>> keys256;
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std::unique_ptr<HashMap<UInt128, Mapped, UInt128TrivialHash>> hashed;
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void create(Type which)
{
switch (which)
{
case Type::EMPTY: break;
case Type::CROSS: break;
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case Type::DICT: break;
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#define M(NAME) \
case Type::NAME: NAME = std::make_unique<typename decltype(NAME)::element_type>(); break;
APPLY_FOR_JOIN_VARIANTS(M)
#undef M
}
}
size_t getTotalRowCount(Type which) const
{
switch (which)
{
case Type::EMPTY: return 0;
case Type::CROSS: return 0;
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case Type::DICT: return 0;
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#define M(NAME) \
case Type::NAME: return NAME ? NAME->size() : 0;
APPLY_FOR_JOIN_VARIANTS(M)
#undef M
}
__builtin_unreachable();
}
size_t getTotalByteCountImpl(Type which) const
{
switch (which)
{
case Type::EMPTY: return 0;
case Type::CROSS: return 0;
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case Type::DICT: return 0;
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#define M(NAME) \
case Type::NAME: return NAME ? NAME->getBufferSizeInBytes() : 0;
APPLY_FOR_JOIN_VARIANTS(M)
#undef M
}
__builtin_unreachable();
}
};
using MapsOne = MapsTemplate<JoinStuff::MappedOne>;
using MapsAll = MapsTemplate<JoinStuff::MappedAll>;
using MapsOneFlagged = MapsTemplate<JoinStuff::MappedOneFlagged>;
using MapsAllFlagged = MapsTemplate<JoinStuff::MappedAllFlagged>;
using MapsAsof = MapsTemplate<JoinStuff::MappedAsof>;
using MapsVariant = std::variant<MapsOne, MapsAll, MapsOneFlagged, MapsAllFlagged, MapsAsof>;
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using BlockNullmapList = std::deque<std::pair<const Block *, ColumnPtr>>;
struct RightTableData
{
/// Protect state for concurrent use in insertFromBlock and joinBlock.
/// @note that these methods could be called simultaneously only while use of StorageJoin.
mutable std::shared_mutex rwlock;
Type type = Type::EMPTY;
bool empty = true;
MapsVariant maps;
Block sample_block; /// Block as it would appear in the BlockList
BlocksList blocks; /// Blocks of "right" table.
BlockNullmapList blocks_nullmaps; /// Nullmaps for blocks of "right" table (if needed)
/// Additional data - strings for string keys and continuation elements of single-linked lists of references to rows.
Arena pool;
};
void reuseJoinedData(const HashJoin & join)
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{
data = join.data;
}
std::shared_ptr<RightTableData> getJoinedData() const
{
return data;
}
private:
friend class NonJoinedBlockInputStream;
friend class JoinSource;
std::shared_ptr<TableJoin> table_join;
ASTTableJoin::Kind kind;
ASTTableJoin::Strictness strictness;
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/// Names of key columns in right-side table (in the order they appear in ON/USING clause). @note It could contain duplicates.
const Names & key_names_right;
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bool nullable_right_side; /// In case of LEFT and FULL joins, if use_nulls, convert right-side columns to Nullable.
bool nullable_left_side; /// In case of RIGHT and FULL joins, if use_nulls, convert left-side columns to Nullable.
bool any_take_last_row; /// Overwrite existing values when encountering the same key again
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std::optional<TypeIndex> asof_type;
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ASOF::Inequality asof_inequality;
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/// Right table data. StorageJoin shares it between many Join objects.
std::shared_ptr<RightTableData> data;
Sizes key_sizes;
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/// Block with columns from the right-side table.
Block right_sample_block;
/// Block with columns from the right-side table except key columns.
Block sample_block_with_columns_to_add;
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/// Block with key columns in the same order they appear in the right-side table (duplicates appear once).
Block right_table_keys;
/// Block with key columns right-side table keys that are needed in result (would be attached after joined columns).
Block required_right_keys;
/// Left table column names that are sources for required_right_keys columns
std::vector<String> required_right_keys_sources;
Poco::Logger * log;
Block totals;
void init(Type type_);
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const Block & savedBlockSample() const { return data->sample_block; }
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/// Modify (structure) right block to save it in block list
Block structureRightBlock(const Block & stored_block) const;
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void initRightBlockStructure(Block & saved_block_sample);
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template <ASTTableJoin::Kind KIND, ASTTableJoin::Strictness STRICTNESS, typename Maps>
void joinBlockImpl(
Block & block,
const Names & key_names_left,
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const Block & block_with_columns_to_add,
const Maps & maps) const;
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void joinBlockImplCross(Block & block, ExtraBlockPtr & not_processed) const;
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template <typename Maps>
ColumnWithTypeAndName joinGetImpl(const Block & block, const Block & block_with_columns_to_add, const Maps & maps_) const;
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static Type chooseMethod(const ColumnRawPtrs & key_columns, Sizes & key_sizes);
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};
}