ClickHouse/src/Columns/IColumn.h

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#pragma once
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#include <Common/COW.h>
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#include <Common/PODArray_fwd.h>
#include <Common/Exception.h>
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#include <Common/typeid_cast.h>
#include <common/StringRef.h>
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#include <Core/Types.h>
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class SipHash;
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class Collator;
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namespace DB
{
namespace ErrorCodes
{
extern const int CANNOT_GET_SIZE_OF_FIELD;
extern const int NOT_IMPLEMENTED;
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extern const int BAD_COLLATION;
}
class Arena;
class ColumnGathererStream;
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class Field;
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class WeakHash32;
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/*
* Represents a set of equal ranges in previous column to perform sorting in current column.
* Used in sorting by tuples.
* */
using EqualRanges = std::vector<std::pair<size_t, size_t> >;
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/// Declares interface to store columns in memory.
class IColumn : public COW<IColumn>
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{
private:
friend class COW<IColumn>;
/// Creates the same column with the same data.
/// This is internal method to use from COW.
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/// It performs shallow copy with copy-ctor and not useful from outside.
/// If you want to copy column for modification, look at 'mutate' method.
virtual MutablePtr clone() const = 0;
public:
/// Name of a Column. It is used in info messages.
virtual std::string getName() const { return getFamilyName(); }
/// Name of a Column kind, without parameters (example: FixedString, Array).
virtual const char * getFamilyName() const = 0;
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/// Type of data that column contains. It's an underlying type: UInt16 for Date, UInt32 for DateTime, so on.
virtual TypeIndex getDataType() const = 0;
/** If column isn't constant, returns itself.
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* If column is constant, transforms constant to full column (if column type allows such transform) and return it.
*/
virtual Ptr convertToFullColumnIfConst() const { return getPtr(); }
/// If column isn't ColumnLowCardinality, return itself.
/// If column is ColumnLowCardinality, transforms is to full column.
virtual Ptr convertToFullColumnIfLowCardinality() const { return getPtr(); }
/// Creates empty column with the same type.
virtual MutablePtr cloneEmpty() const { return cloneResized(0); }
/// Creates column with the same type and specified size.
/// If size is less current size, then data is cut.
/// If size is greater, than default values are appended.
virtual MutablePtr cloneResized(size_t /*size*/) const { throw Exception("Cannot cloneResized() column " + getName(), ErrorCodes::NOT_IMPLEMENTED); }
/// Returns number of values in column.
virtual size_t size() const = 0;
/// There are no values in columns.
bool empty() const { return size() == 0; }
/// Returns value of n-th element in universal Field representation.
/// Is used in rare cases, since creation of Field instance is expensive usually.
virtual Field operator[](size_t n) const = 0;
/// Like the previous one, but avoids extra copying if Field is in a container, for example.
virtual void get(size_t n, Field & res) const = 0;
/// If possible, returns pointer to memory chunk which contains n-th element (if it isn't possible, throws an exception)
/// Is used to optimize some computations (in aggregation, for example).
virtual StringRef getDataAt(size_t n) const = 0;
/// Like getData, but has special behavior for columns that contain variable-length strings.
/// Returns zero-ending memory chunk (i.e. its size is 1 byte longer).
virtual StringRef getDataAtWithTerminatingZero(size_t n) const
{
return getDataAt(n);
}
/// If column stores integers, it returns n-th element transformed to UInt64 using static_cast.
/// If column stores floating point numbers, bits of n-th elements are copied to lower bits of UInt64, the remaining bits are zeros.
/// Is used to optimize some computations (in aggregation, for example).
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virtual UInt64 get64(size_t /*n*/) const
{
throw Exception("Method get64 is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
}
/// If column stores native numeric type, it returns n-th element casted to Float64
/// Is used in regression methods to cast each features into uniform type
virtual Float64 getFloat64(size_t /*n*/) const
{
throw Exception("Method getFloat64 is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
}
virtual Float32 getFloat32(size_t /*n*/) const
{
throw Exception("Method getFloat32 is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
}
/** If column is numeric, return value of n-th element, casted to UInt64.
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* For NULL values of Nullable column it is allowed to return arbitrary value.
* Otherwise throw an exception.
*/
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virtual UInt64 getUInt(size_t /*n*/) const
{
throw Exception("Method getUInt is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
}
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virtual Int64 getInt(size_t /*n*/) const
{
throw Exception("Method getInt is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
}
virtual bool isDefaultAt(size_t n) const { return get64(n) == 0; }
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virtual bool isNullAt(size_t /*n*/) const { return false; }
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/** If column is numeric, return value of n-th element, casted to bool.
* For NULL values of Nullable column returns false.
* Otherwise throw an exception.
*/
virtual bool getBool(size_t /*n*/) const
{
throw Exception("Method getBool is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
}
/// Removes all elements outside of specified range.
/// Is used in LIMIT operation, for example.
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virtual Ptr cut(size_t start, size_t length) const
{
MutablePtr res = cloneEmpty();
res->insertRangeFrom(*this, start, length);
return res;
}
/// Appends new value at the end of column (column's size is increased by 1).
/// Is used to transform raw strings to Blocks (for example, inside input format parsers)
virtual void insert(const Field & x) = 0;
/// Appends n-th element from other column with the same type.
/// Is used in merge-sort and merges. It could be implemented in inherited classes more optimally than default implementation.
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virtual void insertFrom(const IColumn & src, size_t n);
/// Appends range of elements from other column with the same type.
/// Could be used to concatenate columns.
virtual void insertRangeFrom(const IColumn & src, size_t start, size_t length) = 0;
/// Appends one element from other column with the same type multiple times.
virtual void insertManyFrom(const IColumn & src, size_t position, size_t length)
{
for (size_t i = 0; i < length; ++i)
insertFrom(src, position);
}
/// Appends data located in specified memory chunk if it is possible (throws an exception if it cannot be implemented).
/// Is used to optimize some computations (in aggregation, for example).
/// Parameter length could be ignored if column values have fixed size.
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/// All data will be inserted as single element
virtual void insertData(const char * pos, size_t length) = 0;
/// Appends "default value".
/// Is used when there are need to increase column size, but inserting value doesn't make sense.
/// For example, ColumnNullable(Nested) absolutely ignores values of nested column if it is marked as NULL.
virtual void insertDefault() = 0;
/// Appends "default value" multiple times.
virtual void insertManyDefaults(size_t length)
{
for (size_t i = 0; i < length; ++i)
insertDefault();
}
/** Removes last n elements.
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* Is used to support exception-safety of several operations.
* For example, sometimes insertion should be reverted if we catch an exception during operation processing.
* If column has less than n elements or n == 0 - undefined behavior.
*/
virtual void popBack(size_t n) = 0;
/** Serializes n-th element. Serialized element should be placed continuously inside Arena's memory.
* Serialized value can be deserialized to reconstruct original object. Is used in aggregation.
* The method is similar to getDataAt(), but can work when element's value cannot be mapped to existing continuous memory chunk,
* For example, to obtain unambiguous representation of Array of strings, strings data should be interleaved with their sizes.
* Parameter begin should be used with Arena::allocContinue.
*/
virtual StringRef serializeValueIntoArena(size_t n, Arena & arena, char const *& begin) const = 0;
/// Deserializes a value that was serialized using IColumn::serializeValueIntoArena method.
/// Returns pointer to the position after the read data.
virtual const char * deserializeAndInsertFromArena(const char * pos) = 0;
/// Update state of hash function with value of n-th element.
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/// On subsequent calls of this method for sequence of column values of arbitrary types,
/// passed bytes to hash must identify sequence of values unambiguously.
virtual void updateHashWithValue(size_t n, SipHash & hash) const = 0;
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/// Update hash function value. Hash is calculated for each element.
/// It's a fast weak hash function. Mainly need to scatter data between threads.
/// WeakHash32 must have the same size as column.
virtual void updateWeakHash32(WeakHash32 & hash) const = 0;
/// Update state of hash with all column.
virtual void updateHashFast(SipHash & hash) const = 0;
/** Removes elements that don't match the filter.
* Is used in WHERE and HAVING operations.
* If result_size_hint > 0, then makes advance reserve(result_size_hint) for the result column;
* if 0, then don't makes reserve(),
* otherwise (i.e. < 0), makes reserve() using size of source column.
*/
using Filter = PaddedPODArray<UInt8>;
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virtual Ptr filter(const Filter & filt, ssize_t result_size_hint) const = 0;
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/// Permutes elements using specified permutation. Is used in sorting.
/// limit - if it isn't 0, puts only first limit elements in the result.
using Permutation = PaddedPODArray<size_t>;
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virtual Ptr permute(const Permutation & perm, size_t limit) const = 0;
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/// Creates new column with values column[indexes[:limit]]. If limit is 0, all indexes are used.
/// Indexes must be one of the ColumnUInt. For default implementation, see selectIndexImpl from ColumnsCommon.h
virtual Ptr index(const IColumn & indexes, size_t limit) const = 0;
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/** Compares (*this)[n] and rhs[m]. Column rhs should have the same type.
* Returns negative number, 0, or positive number (*this)[n] is less, equal, greater than rhs[m] respectively.
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* Is used in sorting.
*
* If one of element's value is NaN or NULLs, then:
* - if nan_direction_hint == -1, NaN and NULLs are considered as least than everything other;
* - if nan_direction_hint == 1, NaN and NULLs are considered as greatest than everything other.
* For example, if nan_direction_hint == -1 is used by descending sorting, NaNs will be at the end.
*
* For non Nullable and non floating point types, nan_direction_hint is ignored.
*/
virtual int compareAt(size_t n, size_t m, const IColumn & rhs, int nan_direction_hint) const = 0;
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/// Equivalent to compareAt, but collator is used to compare values.
virtual int compareAtWithCollation(size_t, size_t, const IColumn &, int, const Collator &) const
{
throw Exception("Collations could be specified only for String, LowCardinality(String), Nullable(String) or for Array or Tuple, containing it.", ErrorCodes::BAD_COLLATION);
}
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/// Compare the whole column with single value from rhs column.
/// If row_indexes is nullptr, it's ignored. Otherwise, it is a set of rows to compare.
/// compare_results[i] will be equal to compareAt(row_indexes[i], rhs_row_num, rhs, nan_direction_hint) * direction
/// row_indexes (if not ignored) will contain row numbers for which compare result is 0
/// see compareImpl for default implementation.
virtual void compareColumn(const IColumn & rhs, size_t rhs_row_num,
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PaddedPODArray<UInt64> * row_indexes, PaddedPODArray<Int8> & compare_results,
int direction, int nan_direction_hint) const = 0;
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/** Returns a permutation that sorts elements of this column,
* i.e. perm[i]-th element of source column should be i-th element of sorted column.
* reverse - reverse ordering (acsending).
* limit - if isn't 0, then only first limit elements of the result column could be sorted.
* nan_direction_hint - see above.
*/
virtual void getPermutation(bool reverse, size_t limit, int nan_direction_hint, Permutation & res) const = 0;
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/*in updatePermutation we pass the current permutation and the intervals at which it should be sorted
* Then for each interval separately (except for the last one, if there is a limit)
* We sort it based on data about the current column, and find all the intervals within this
* interval that had the same values in this column. we can't tell about these values in what order they
* should have been, we form a new array with intervals that need to be sorted
* If there is a limit, then for the last interval we do partial sorting and all that is described above,
* but in addition we still find all the elements equal to the largest sorted, they will also need to be sorted.
*/
virtual void updatePermutation(bool reverse, size_t limit, int nan_direction_hint, Permutation & res, EqualRanges & equal_ranges) const = 0;
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/** Equivalent to getPermutation and updatePermutation but collator is used to compare values.
* Supported for String, LowCardinality(String), Nullable(String) and for Array and Tuple, containing them.
*/
virtual void getPermutationWithCollation(const Collator &, bool, size_t, int, Permutation &) const
{
throw Exception("Collations could be specified only for String, LowCardinality(String), Nullable(String) or for Array or Tuple, containing them.", ErrorCodes::BAD_COLLATION);
}
virtual void updatePermutationWithCollation(const Collator &, bool, size_t, int, Permutation &, EqualRanges&) const
{
throw Exception("Collations could be specified only for String, LowCardinality(String), Nullable(String) or for Array or Tuple, containing them.", ErrorCodes::BAD_COLLATION);
}
/** Copies each element according offsets parameter.
* (i-th element should be copied offsets[i] - offsets[i - 1] times.)
* It is necessary in ARRAY JOIN operation.
*/
using Offset = UInt64;
using Offsets = PaddedPODArray<Offset>;
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virtual Ptr replicate(const Offsets & offsets) const = 0;
/** Split column to smaller columns. Each value goes to column index, selected by corresponding element of 'selector'.
* Selector must contain values from 0 to num_columns - 1.
* For default implementation, see scatterImpl.
*/
using ColumnIndex = UInt64;
using Selector = PaddedPODArray<ColumnIndex>;
virtual std::vector<MutablePtr> scatter(ColumnIndex num_columns, const Selector & selector) const = 0;
/// Insert data from several other columns according to source mask (used in vertical merge).
/// For now it is a helper to de-virtualize calls to insert*() functions inside gather loop
/// (descendants should call gatherer_stream.gather(*this) to implement this function.)
/// TODO: interface decoupled from ColumnGathererStream that allows non-generic specializations.
virtual void gather(ColumnGathererStream & gatherer_stream) = 0;
/** Computes minimum and maximum element of the column.
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* In addition to numeric types, the function is completely implemented for Date and DateTime.
* For strings and arrays function should return default value.
* (except for constant columns; they should return value of the constant).
* If column is empty function should return default value.
*/
virtual void getExtremes(Field & min, Field & max) const = 0;
/// Reserves memory for specified amount of elements. If reservation isn't possible, does nothing.
/// It affects performance only (not correctness).
virtual void reserve(size_t /*n*/) {}
/// Size of column data in memory (may be approximate) - for profiling. Zero, if could not be determined.
virtual size_t byteSize() const = 0;
/// Size of memory, allocated for column.
/// This is greater or equals to byteSize due to memory reservation in containers.
/// Zero, if could not be determined.
virtual size_t allocatedBytes() const = 0;
/// Make memory region readonly with mprotect if it is large enough.
/// The operation is slow and performed only for debug builds.
virtual void protect() {}
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/// If the column contains subcolumns (such as Array, Nullable, etc), do callback on them.
/// Shallow: doesn't do recursive calls; don't do call for itself.
using ColumnCallback = std::function<void(WrappedPtr&)>;
virtual void forEachSubcolumn(ColumnCallback) {}
/// Columns have equal structure.
/// If true - you can use "compareAt", "insertFrom", etc. methods.
virtual bool structureEquals(const IColumn &) const
{
throw Exception("Method structureEquals is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
}
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static MutablePtr mutate(Ptr ptr)
{
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MutablePtr res = ptr->shallowMutate(); /// Now use_count is 2.
ptr.reset(); /// Reset use_count to 1.
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res->forEachSubcolumn([](WrappedPtr & subcolumn) { subcolumn = IColumn::mutate(std::move(subcolumn).detach()); });
return res;
}
/** Some columns can contain another columns inside.
* So, we have a tree of columns. But not all combinations are possible.
* There are the following rules:
*
* ColumnConst may be only at top. It cannot be inside any column.
* ColumnNullable can contain only simple columns.
*/
/// Various properties on behaviour of column type.
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/// True if column contains something nullable inside. It's true for ColumnNullable, can be true or false for ColumnConst, etc.
virtual bool isNullable() const { return false; }
/// It's a special kind of column, that contain single value, but is not a ColumnConst.
virtual bool isDummy() const { return false; }
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/** Memory layout properties.
*
* Each value of a column can be placed in memory contiguously or not.
*
* Example: simple columns like UInt64 or FixedString store their values contiguously in single memory buffer.
*
* Example: Tuple store values of each component in separate subcolumn, so the values of Tuples with at least two components are not contiguous.
* Another example is Nullable. Each value have null flag, that is stored separately, so the value is not contiguous in memory.
*
* There are some important cases, when values are not stored contiguously, but for each value, you can get contiguous memory segment,
* that will unambiguously identify the value. In this case, methods getDataAt and insertData are implemented.
* Example: String column: bytes of strings are stored concatenated in one memory buffer
* and offsets to that buffer are stored in another buffer. The same is for Array of fixed-size contiguous elements.
*
* To avoid confusion between these cases, we don't have isContiguous method.
*/
/// Values in column have fixed size (including the case when values span many memory segments).
virtual bool valuesHaveFixedSize() const { return isFixedAndContiguous(); }
/// Values in column are represented as continuous memory segment of fixed size. Implies valuesHaveFixedSize.
virtual bool isFixedAndContiguous() const { return false; }
/// If isFixedAndContiguous, returns the underlying data array, otherwise throws an exception.
virtual StringRef getRawData() const { throw Exception("Column " + getName() + " is not a contiguous block of memory", ErrorCodes::NOT_IMPLEMENTED); }
/// If valuesHaveFixedSize, returns size of value, otherwise throw an exception.
virtual size_t sizeOfValueIfFixed() const { throw Exception("Values of column " + getName() + " are not fixed size.", ErrorCodes::CANNOT_GET_SIZE_OF_FIELD); }
/// Column is ColumnVector of numbers or ColumnConst of it. Note that Nullable columns are not numeric.
virtual bool isNumeric() const { return false; }
/// If the only value column can contain is NULL.
/// Does not imply type of object, because it can be ColumnNullable(ColumnNothing) or ColumnConst(ColumnNullable(ColumnNothing))
virtual bool onlyNull() const { return false; }
/// Can be inside ColumnNullable.
virtual bool canBeInsideNullable() const { return false; }
virtual bool lowCardinality() const { return false; }
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virtual bool isCollationSupported() const { return false; }
virtual ~IColumn() = default;
IColumn() = default;
IColumn(const IColumn &) = default;
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/** Print column name, size, and recursively print all subcolumns.
*/
String dumpStructure() const;
protected:
/// Template is to devirtualize calls to insertFrom method.
/// In derived classes (that use final keyword), implement scatter method as call to scatterImpl.
template <typename Derived>
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std::vector<MutablePtr> scatterImpl(ColumnIndex num_columns, const Selector & selector) const;
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template <typename Derived, bool reversed, bool use_indexes>
void compareImpl(const Derived & rhs, size_t rhs_row_num,
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PaddedPODArray<UInt64> * row_indexes,
PaddedPODArray<Int8> & compare_results,
int nan_direction_hint) const;
template <typename Derived>
void doCompareColumn(const Derived & rhs, size_t rhs_row_num,
PaddedPODArray<UInt64> * row_indexes,
PaddedPODArray<Int8> & compare_results,
int direction, int nan_direction_hint) const;
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};
using ColumnPtr = IColumn::Ptr;
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using MutableColumnPtr = IColumn::MutablePtr;
using Columns = std::vector<ColumnPtr>;
using MutableColumns = std::vector<MutableColumnPtr>;
using ColumnRawPtrs = std::vector<const IColumn *>;
//using MutableColumnRawPtrs = std::vector<IColumn *>;
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template <typename ... Args>
struct IsMutableColumns;
template <typename Arg, typename ... Args>
struct IsMutableColumns<Arg, Args ...>
{
static const bool value = std::is_assignable<MutableColumnPtr &&, Arg>::value && IsMutableColumns<Args ...>::value;
};
template <>
struct IsMutableColumns<> { static const bool value = true; };
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template <typename Type>
const Type * checkAndGetColumn(const IColumn & column)
{
return typeid_cast<const Type *>(&column);
}
template <typename Type>
const Type * checkAndGetColumn(const IColumn * column)
{
return typeid_cast<const Type *>(column);
}
template <typename Type>
bool checkColumn(const IColumn & column)
{
return checkAndGetColumn<Type>(&column);
}
template <typename Type>
bool checkColumn(const IColumn * column)
{
return checkAndGetColumn<Type>(column);
}
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/// True if column's an ColumnConst instance. It's just a syntax sugar for type check.
bool isColumnConst(const IColumn & column);
/// True if column's an ColumnNullable instance. It's just a syntax sugar for type check.
bool isColumnNullable(const IColumn & column);
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}