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242 lines
8.1 KiB
C++
242 lines
8.1 KiB
C++
#pragma once
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#include <Core/Block.h>
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#include <QueryPipeline/SizeLimits.h>
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#include <DataTypes/IDataType.h>
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#include <Interpreters/SetVariants.h>
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#include <Interpreters/SetKeys.h>
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#include <Parsers/IAST.h>
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#include <Storages/MergeTree/BoolMask.h>
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#include <Common/SharedMutex.h>
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namespace DB
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{
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struct Range;
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class Context;
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class IFunctionBase;
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using FunctionBasePtr = std::shared_ptr<const IFunctionBase>;
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class Chunk;
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/** Data structure for implementation of IN expression.
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*/
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class Set
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{
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public:
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/// 'fill_set_elements': in addition to hash table
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/// (that is useful only for checking that some value is in the set and may not store the original values),
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/// store all set elements in explicit form.
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/// This is needed for subsequent use for index.
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Set(const SizeLimits & limits_, size_t max_elements_to_fill_, bool transform_null_in_)
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: log(&Poco::Logger::get("Set")),
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limits(limits_), max_elements_to_fill(max_elements_to_fill_), transform_null_in(transform_null_in_)
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{
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}
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/** Set can be created either from AST or from a stream of data (subquery result).
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*/
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/** Create a Set from stream.
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* Call setHeader, then call insertFromBlock for each block.
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*/
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void setHeader(const ColumnsWithTypeAndName & header);
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/// Returns false, if some limit was exceeded and no need to insert more data.
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bool insertFromColumns(const Columns & columns);
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bool insertFromBlock(const ColumnsWithTypeAndName & columns);
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void fillSetElements();
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bool insertFromColumns(const Columns & columns, SetKeyColumns & holder);
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void appendSetElements(SetKeyColumns & holder);
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/// Call after all blocks were inserted. To get the information that set is already created.
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void finishInsert() { is_created = true; }
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/// finishInsert and isCreated are thread-safe
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bool isCreated() const { return is_created.load(); }
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void checkIsCreated() const;
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/** For columns of 'block', check belonging of corresponding rows to the set.
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* Return UInt8 column with the result.
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*/
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ColumnPtr execute(const ColumnsWithTypeAndName & columns, bool negative) const;
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bool empty() const;
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size_t getTotalRowCount() const;
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size_t getTotalByteCount() const;
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const DataTypes & getDataTypes() const { return data_types; }
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const DataTypes & getElementsTypes() const { return set_elements_types; }
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bool hasExplicitSetElements() const { return fill_set_elements || (!set_elements.empty() && set_elements.front()->size() == data.getTotalRowCount()); }
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Columns getSetElements() const { checkIsCreated(); return { set_elements.begin(), set_elements.end() }; }
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void checkColumnsNumber(size_t num_key_columns) const;
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bool areTypesEqual(size_t set_type_idx, const DataTypePtr & other_type) const;
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void checkTypesEqual(size_t set_type_idx, const DataTypePtr & other_type) const;
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static DataTypes getElementTypes(DataTypes types, bool transform_null_in);
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private:
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size_t keys_size = 0;
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Sizes key_sizes;
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SetVariants data;
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/** How IN works with Nullable types.
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*
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* For simplicity reasons, all NULL values and any tuples with at least one NULL element are ignored in the Set.
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* And for left hand side values, that are NULLs or contain any NULLs, we return 0 (means that element is not in Set).
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*
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* If we want more standard compliant behaviour, we must return NULL
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* if lhs is NULL and set is not empty or if lhs is not in set, but set contains at least one NULL.
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* It is more complicated with tuples.
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* For example,
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* (1, NULL, 2) IN ((1, NULL, 3)) must return 0,
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* but (1, NULL, 2) IN ((1, 1111, 2)) must return NULL.
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*
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* We have not implemented such sophisticated behaviour.
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*/
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/** The data types from which the set was created.
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* When checking for belonging to a set, the types of columns to be checked must match with them.
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*/
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DataTypes data_types;
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/// Types for set_elements.
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DataTypes set_elements_types;
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Poco::Logger * log;
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/// Limitations on the maximum size of the set
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SizeLimits limits;
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/// Do we need to additionally store all elements of the set in explicit form for subsequent use for index.
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bool fill_set_elements = false;
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size_t max_elements_to_fill;
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/// If true, insert NULL values to set.
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bool transform_null_in;
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/// Check if set contains all the data.
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std::atomic<bool> is_created = false;
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/// If in the left part columns contains the same types as the elements of the set.
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void executeOrdinary(
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const ColumnRawPtrs & key_columns,
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ColumnUInt8::Container & vec_res,
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bool negative,
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const PaddedPODArray<UInt8> * null_map) const;
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/// Collected elements of `Set`.
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/// It is necessary for the index to work on the primary key in the IN statement.
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std::vector<IColumn::WrappedPtr> set_elements;
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/** Protects work with the set in the functions `insertFromBlock` and `execute`.
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* These functions can be called simultaneously from different threads only when using StorageSet,
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*/
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mutable SharedMutex rwlock;
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template <typename Method>
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void insertFromBlockImpl(
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Method & method,
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const ColumnRawPtrs & key_columns,
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size_t rows,
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SetVariants & variants,
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ConstNullMapPtr null_map,
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ColumnUInt8::Container * out_filter);
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template <typename Method, bool has_null_map, bool build_filter>
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void insertFromBlockImplCase(
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Method & method,
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const ColumnRawPtrs & key_columns,
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size_t rows,
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SetVariants & variants,
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ConstNullMapPtr null_map,
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ColumnUInt8::Container * out_filter);
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template <typename Method>
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void executeImpl(
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Method & method,
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const ColumnRawPtrs & key_columns,
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ColumnUInt8::Container & vec_res,
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bool negative,
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size_t rows,
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ConstNullMapPtr null_map) const;
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template <typename Method, bool has_null_map>
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void executeImplCase(
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Method & method,
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const ColumnRawPtrs & key_columns,
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ColumnUInt8::Container & vec_res,
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bool negative,
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size_t rows,
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ConstNullMapPtr null_map) const;
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};
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using SetPtr = std::shared_ptr<Set>;
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using ConstSetPtr = std::shared_ptr<const Set>;
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using Sets = std::vector<SetPtr>;
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class IFunction;
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using FunctionPtr = std::shared_ptr<IFunction>;
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/** Class that represents single value with possible infinities.
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* Single field is stored in column for more optimal inplace comparisons with other regular columns.
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* Extracting fields from columns and further their comparison is suboptimal and requires extra copying.
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*/
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struct FieldValue
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{
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FieldValue(MutableColumnPtr && column_) : column(std::move(column_)) {}
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void update(const Field & x);
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bool isNormal() const { return !value.isPositiveInfinity() && !value.isNegativeInfinity(); }
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bool isPositiveInfinity() const { return value.isPositiveInfinity(); }
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bool isNegativeInfinity() const { return value.isNegativeInfinity(); }
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Field value; // Null, -Inf, +Inf
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// If value is Null, uses the actual value in column
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MutableColumnPtr column;
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};
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/// Class for checkInRange function.
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class MergeTreeSetIndex
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{
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public:
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/** Mapping for tuple positions from Set::set_elements to
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* position of pk index and functions chain applied to this column.
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*/
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struct KeyTuplePositionMapping
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{
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size_t tuple_index;
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size_t key_index;
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std::vector<FunctionBasePtr> functions;
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};
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MergeTreeSetIndex(const Columns & set_elements, std::vector<KeyTuplePositionMapping> && indexes_mapping_);
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size_t size() const { return ordered_set.at(0)->size(); }
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bool hasMonotonicFunctionsChain() const;
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BoolMask checkInRange(const std::vector<Range> & key_ranges, const DataTypes & data_types, bool single_point = false) const;
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private:
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// If all arguments in tuple are key columns, we can optimize NOT IN when there is only one element.
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bool has_all_keys;
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Columns ordered_set;
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std::vector<KeyTuplePositionMapping> indexes_mapping;
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using FieldValues = std::vector<FieldValue>;
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};
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}
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