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arrayElement.cpp
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#include <Functions/IFunction.h>
#include <Functions/FunctionFactory.h>
#include <Functions/FunctionHelpers.h>
#include <Functions/castTypeToEither.h>
#include <DataTypes/DataTypeArray.h>
#include <DataTypes/DataTypeNullable.h>
#include <DataTypes/DataTypeTuple.h>
#include <DataTypes/DataTypeMap.h>
#include <DataTypes/DataTypesNumber.h>
#include <Core/ColumnNumbers.h>
#include <Columns/ColumnArray.h>
#include <Core/Field.h>
#include <Columns/ColumnNullable.h>
#include <Columns/ColumnsNumber.h>
#include <Columns/ColumnString.h>
#include <Columns/ColumnFixedString.h>
#include <Columns/ColumnTuple.h>
#include <Columns/ColumnMap.h>
#include <Common/typeid_cast.h>
#include <Common/assert_cast.h>
namespace DB
{
namespace ErrorCodes
{
extern const int LOGICAL_ERROR;
extern const int ILLEGAL_COLUMN;
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
extern const int ZERO_ARRAY_OR_TUPLE_INDEX;
}
namespace ArrayImpl
{
class NullMapBuilder;
}
/** arrayElement(arr, i) - get the array element by index. If index is not constant and out of range - return default value of data type.
* The index begins with 1. Also, the index can be negative - then it is counted from the end of the array.
*/
class FunctionArrayElement : public IFunction
{
public:
static constexpr auto name = "arrayElement";
static FunctionPtr create(ContextPtr context);
String getName() const override;
bool useDefaultImplementationForConstants() const override { return true; }
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; }
size_t getNumberOfArguments() const override { return 2; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override;
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override;
private:
ColumnPtr perform(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type,
ArrayImpl::NullMapBuilder & builder, size_t input_rows_count) const;
template <typename DataType>
static ColumnPtr executeNumberConst(const ColumnsWithTypeAndName & arguments, const Field & index, ArrayImpl::NullMapBuilder & builder);
template <typename IndexType, typename DataType>
static ColumnPtr executeNumber(const ColumnsWithTypeAndName & arguments, const PaddedPODArray<IndexType> & indices, ArrayImpl::NullMapBuilder & builder);
static ColumnPtr executeStringConst(const ColumnsWithTypeAndName & arguments, const Field & index, ArrayImpl::NullMapBuilder & builder);
template <typename IndexType>
static ColumnPtr executeString(const ColumnsWithTypeAndName & arguments, const PaddedPODArray<IndexType> & indices, ArrayImpl::NullMapBuilder & builder);
static ColumnPtr executeGenericConst(const ColumnsWithTypeAndName & arguments, const Field & index, ArrayImpl::NullMapBuilder & builder);
template <typename IndexType>
static ColumnPtr executeGeneric(const ColumnsWithTypeAndName & arguments, const PaddedPODArray<IndexType> & indices, ArrayImpl::NullMapBuilder & builder);
template <typename IndexType>
static ColumnPtr executeConst(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type,
const PaddedPODArray <IndexType> & indices, ArrayImpl::NullMapBuilder & builder,
size_t input_rows_count);
template <typename IndexType>
ColumnPtr executeArgument(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type,
ArrayImpl::NullMapBuilder & builder, size_t input_rows_count) const;
/** For a tuple array, the function is evaluated component-wise for each element of the tuple.
*/
ColumnPtr executeTuple(const ColumnsWithTypeAndName & arguments, size_t input_rows_count) const;
/** For a map the function finds the matched value for a key.
* Currently implemented just as linear search in array.
* However, optimizations are possible.
*/
ColumnPtr executeMap(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const;
using Offsets = ColumnArray::Offsets;
static bool matchKeyToIndexNumber(
const IColumn & data, const Offsets & offsets, bool is_key_const,
const IColumn & index, PaddedPODArray<UInt64> & matched_idxs);
static bool matchKeyToIndexNumberConst(
const IColumn & data, const Offsets & offsets,
const Field & index, PaddedPODArray<UInt64> & matched_idxs);
static bool matchKeyToIndexString(
const IColumn & data, const Offsets & offsets, bool is_key_const,
const IColumn & index, PaddedPODArray<UInt64> & matched_idxs);
static bool matchKeyToIndexStringConst(
const IColumn & data, const Offsets & offsets,
const Field & index, PaddedPODArray<UInt64> & matched_idxs);
template <typename Matcher>
static void executeMatchKeyToIndex(const Offsets & offsets,
PaddedPODArray<UInt64> & matched_idxs, const Matcher & matcher);
template <typename Matcher>
static void executeMatchConstKeyToIndex(
size_t num_rows, size_t num_values,
PaddedPODArray<UInt64> & matched_idxs, const Matcher & matcher);
};
namespace ArrayImpl
{
class NullMapBuilder
{
public:
explicit operator bool() const { return src_null_map; }
bool operator!() const { return !src_null_map; }
void initSource(const UInt8 * src_null_map_)
{
src_null_map = src_null_map_;
}
void initSink(size_t size)
{
auto sink = ColumnUInt8::create(size);
sink_null_map = sink->getData().data();
sink_null_map_holder = std::move(sink);
}
void update(size_t from)
{
sink_null_map[index] = src_null_map && src_null_map[from];
++index;
}
void update()
{
sink_null_map[index] = static_cast<bool>(src_null_map);
++index;
}
ColumnPtr getNullMapColumnPtr() && { return std::move(sink_null_map_holder); }
private:
const UInt8 * src_null_map = nullptr;
UInt8 * sink_null_map = nullptr;
MutableColumnPtr sink_null_map_holder;
size_t index = 0;
};
}
namespace
{
template <typename T>
struct ArrayElementNumImpl
{
/** Implementation for constant index.
* If negative = false - index is from beginning of array, started from 0.
* If negative = true - index is from end of array, started from 0.
*/
template <bool negative>
static void vectorConst(
const PaddedPODArray<T> & data, const ColumnArray::Offsets & offsets,
const ColumnArray::Offset index,
PaddedPODArray<T> & result, ArrayImpl::NullMapBuilder & builder)
{
size_t size = offsets.size();
result.resize(size);
ColumnArray::Offset current_offset = 0;
for (size_t i = 0; i < size; ++i)
{
size_t array_size = offsets[i] - current_offset;
if (index < array_size)
{
size_t j = !negative ? (current_offset + index) : (offsets[i] - index - 1);
result[i] = data[j];
if (builder)
builder.update(j);
}
else
{
result[i] = T();
if (builder)
builder.update();
}
current_offset = offsets[i];
}
}
/** Implementation for non-constant index.
*/
template <typename TIndex>
static void vector(
const PaddedPODArray<T> & data, const ColumnArray::Offsets & offsets,
const PaddedPODArray<TIndex> & indices,
PaddedPODArray<T> & result, ArrayImpl::NullMapBuilder & builder)
{
size_t size = offsets.size();
result.resize(size);
ColumnArray::Offset current_offset = 0;
for (size_t i = 0; i < size; ++i)
{
size_t array_size = offsets[i] - current_offset;
TIndex index = indices[i];
if (index > 0 && static_cast<size_t>(index) <= array_size)
{
size_t j = current_offset + index - 1;
result[i] = data[j];
if (builder)
builder.update(j);
}
else if (index < 0 && -static_cast<size_t>(index) <= array_size)
{
size_t j = offsets[i] + index;
result[i] = data[j];
if (builder)
builder.update(j);
}
else
{
result[i] = T();
if (builder)
builder.update();
}
current_offset = offsets[i];
}
}
};
struct ArrayElementStringImpl
{
template <bool negative>
static void vectorConst(
const ColumnString::Chars & data, const ColumnArray::Offsets & offsets, const ColumnString::Offsets & string_offsets,
const ColumnArray::Offset index,
ColumnString::Chars & result_data, ColumnArray::Offsets & result_offsets,
ArrayImpl::NullMapBuilder & builder)
{
size_t size = offsets.size();
result_offsets.resize(size);
result_data.reserve(data.size());
ColumnArray::Offset current_offset = 0;
ColumnArray::Offset current_result_offset = 0;
for (size_t i = 0; i < size; ++i)
{
size_t array_size = offsets[i] - current_offset;
if (index < array_size)
{
size_t adjusted_index = !negative ? index : (array_size - index - 1);
size_t j = current_offset + adjusted_index;
if (builder)
builder.update(j);
ColumnArray::Offset string_pos = current_offset == 0 && adjusted_index == 0
? 0
: string_offsets[current_offset + adjusted_index - 1];
ColumnArray::Offset string_size = string_offsets[current_offset + adjusted_index] - string_pos;
result_data.resize(current_result_offset + string_size);
memcpySmallAllowReadWriteOverflow15(&result_data[current_result_offset], &data[string_pos], string_size);
current_result_offset += string_size;
result_offsets[i] = current_result_offset;
}
else
{
/// Insert an empty row.
result_data.resize(current_result_offset + 1);
result_data[current_result_offset] = 0;
current_result_offset += 1;
result_offsets[i] = current_result_offset;
if (builder)
builder.update();
}
current_offset = offsets[i];
}
}
/** Implementation for non-constant index.
*/
template <typename TIndex>
static void vector(
const ColumnString::Chars & data, const ColumnArray::Offsets & offsets, const ColumnString::Offsets & string_offsets,
const PaddedPODArray<TIndex> & indices,
ColumnString::Chars & result_data, ColumnArray::Offsets & result_offsets,
ArrayImpl::NullMapBuilder & builder)
{
size_t size = offsets.size();
result_offsets.resize(size);
result_data.reserve(data.size());
ColumnArray::Offset current_offset = 0;
ColumnArray::Offset current_result_offset = 0;
for (size_t i = 0; i < size; ++i)
{
size_t array_size = offsets[i] - current_offset;
size_t adjusted_index; /// index in array from zero
TIndex index = indices[i];
if (index > 0 && static_cast<size_t>(index) <= array_size)
adjusted_index = index - 1;
else if (index < 0 && -static_cast<size_t>(index) <= array_size)
adjusted_index = array_size + index;
else
adjusted_index = array_size; /// means no element should be taken
if (adjusted_index < array_size)
{
size_t j = current_offset + adjusted_index;
if (builder)
builder.update(j);
ColumnArray::Offset string_pos = current_offset == 0 && adjusted_index == 0
? 0
: string_offsets[current_offset + adjusted_index - 1];
ColumnArray::Offset string_size = string_offsets[current_offset + adjusted_index] - string_pos;
result_data.resize(current_result_offset + string_size);
memcpySmallAllowReadWriteOverflow15(&result_data[current_result_offset], &data[string_pos], string_size);
current_result_offset += string_size;
result_offsets[i] = current_result_offset;
}
else
{
/// Insert empty string
result_data.resize(current_result_offset + 1);
result_data[current_result_offset] = 0;
current_result_offset += 1;
result_offsets[i] = current_result_offset;
if (builder)
builder.update();
}
current_offset = offsets[i];
}
}
};
/// Generic implementation for other nested types.
struct ArrayElementGenericImpl
{
template <bool negative>
static void vectorConst(
const IColumn & data, const ColumnArray::Offsets & offsets,
const ColumnArray::Offset index,
IColumn & result, ArrayImpl::NullMapBuilder & builder)
{
size_t size = offsets.size();
result.reserve(size);
ColumnArray::Offset current_offset = 0;
for (size_t i = 0; i < size; ++i)
{
size_t array_size = offsets[i] - current_offset;
if (index < array_size)
{
size_t j = !negative ? current_offset + index : offsets[i] - index - 1;
result.insertFrom(data, j);
if (builder)
builder.update(j);
}
else
{
result.insertDefault();
if (builder)
builder.update();
}
current_offset = offsets[i];
}
}
/** Implementation for non-constant index.
*/
template <typename TIndex>
static void vector(
const IColumn & data, const ColumnArray::Offsets & offsets,
const PaddedPODArray<TIndex> & indices,
IColumn & result, ArrayImpl::NullMapBuilder & builder)
{
size_t size = offsets.size();
result.reserve(size);
ColumnArray::Offset current_offset = 0;
for (size_t i = 0; i < size; ++i)
{
size_t array_size = offsets[i] - current_offset;
TIndex index = indices[i];
if (index > 0 && static_cast<size_t>(index) <= array_size)
{
size_t j = current_offset + index - 1;
result.insertFrom(data, j);
if (builder)
builder.update(j);
}
else if (index < 0 && -static_cast<size_t>(index) <= array_size)
{
size_t j = offsets[i] + index;
result.insertFrom(data, j);
if (builder)
builder.update(j);
}
else
{
result.insertDefault();
if (builder)
builder.update();
}
current_offset = offsets[i];
}
}
};
}
FunctionPtr FunctionArrayElement::create(ContextPtr)
{
return std::make_shared<FunctionArrayElement>();
}
template <typename DataType>
ColumnPtr FunctionArrayElement::executeNumberConst(
const ColumnsWithTypeAndName & arguments, const Field & index, ArrayImpl::NullMapBuilder & builder)
{
const ColumnArray * col_array = checkAndGetColumn<ColumnArray>(arguments[0].column.get());
if (!col_array)
return nullptr;
const ColumnVector<DataType> * col_nested = checkAndGetColumn<ColumnVector<DataType>>(&col_array->getData());
if (!col_nested)
return nullptr;
auto col_res = ColumnVector<DataType>::create();
if (index.getType() == Field::Types::UInt64
|| (index.getType() == Field::Types::Int64 && index.get<Int64>() >= 0))
{
ArrayElementNumImpl<DataType>::template vectorConst<false>(
col_nested->getData(), col_array->getOffsets(), index.get<UInt64>() - 1, col_res->getData(), builder);
}
else if (index.getType() == Field::Types::Int64)
{
/// Cast to UInt64 before negation allows to avoid undefined behaviour for negation of the most negative number.
/// NOTE: this would be undefined behaviour in C++ sense, but nevertheless, compiler cannot see it on user provided data,
/// and generates the code that we want on supported CPU architectures (overflow in sense of two's complement arithmetic).
/// This is only needed to avoid UBSan report.
/// Negative array indices work this way:
/// arr[-1] is the element at offset 0 from the last
/// arr[-2] is the element at offset 1 from the last and so on.
ArrayElementNumImpl<DataType>::template vectorConst<true>(
col_nested->getData(), col_array->getOffsets(), -(static_cast<UInt64>(index.safeGet<Int64>()) + 1), col_res->getData(), builder);
}
else
throw Exception("Illegal type of array index", ErrorCodes::LOGICAL_ERROR);
return col_res;
}
template <typename IndexType, typename DataType>
ColumnPtr FunctionArrayElement::executeNumber(
const ColumnsWithTypeAndName & arguments, const PaddedPODArray<IndexType> & indices, ArrayImpl::NullMapBuilder & builder)
{
const ColumnArray * col_array = checkAndGetColumn<ColumnArray>(arguments[0].column.get());
if (!col_array)
return nullptr;
const ColumnVector<DataType> * col_nested = checkAndGetColumn<ColumnVector<DataType>>(&col_array->getData());
if (!col_nested)
return nullptr;
auto col_res = ColumnVector<DataType>::create();
ArrayElementNumImpl<DataType>::template vector<IndexType>(
col_nested->getData(), col_array->getOffsets(), indices, col_res->getData(), builder);
return col_res;
}
ColumnPtr
FunctionArrayElement::executeStringConst(const ColumnsWithTypeAndName & arguments, const Field & index, ArrayImpl::NullMapBuilder & builder)
{
const ColumnArray * col_array = checkAndGetColumn<ColumnArray>(arguments[0].column.get());
if (!col_array)
return nullptr;
const ColumnString * col_nested = checkAndGetColumn<ColumnString>(&col_array->getData());
if (!col_nested)
return nullptr;
auto col_res = ColumnString::create();
if (index.getType() == Field::Types::UInt64
|| (index.getType() == Field::Types::Int64 && index.get<Int64>() >= 0))
ArrayElementStringImpl::vectorConst<false>(
col_nested->getChars(),
col_array->getOffsets(),
col_nested->getOffsets(),
index.get<UInt64>() - 1,
col_res->getChars(),
col_res->getOffsets(),
builder);
else if (index.getType() == Field::Types::Int64)
ArrayElementStringImpl::vectorConst<true>(
col_nested->getChars(),
col_array->getOffsets(),
col_nested->getOffsets(),
-(UInt64(index.get<Int64>()) + 1),
col_res->getChars(),
col_res->getOffsets(),
builder);
else
throw Exception("Illegal type of array index", ErrorCodes::LOGICAL_ERROR);
return col_res;
}
template <typename IndexType>
ColumnPtr FunctionArrayElement::executeString(
const ColumnsWithTypeAndName & arguments, const PaddedPODArray<IndexType> & indices, ArrayImpl::NullMapBuilder & builder)
{
const ColumnArray * col_array = checkAndGetColumn<ColumnArray>(arguments[0].column.get());
if (!col_array)
return nullptr;
const ColumnString * col_nested = checkAndGetColumn<ColumnString>(&col_array->getData());
if (!col_nested)
return nullptr;
auto col_res = ColumnString::create();
ArrayElementStringImpl::vector<IndexType>(
col_nested->getChars(),
col_array->getOffsets(),
col_nested->getOffsets(),
indices,
col_res->getChars(),
col_res->getOffsets(),
builder);
return col_res;
}
ColumnPtr FunctionArrayElement::executeGenericConst(
const ColumnsWithTypeAndName & arguments, const Field & index, ArrayImpl::NullMapBuilder & builder)
{
const ColumnArray * col_array = checkAndGetColumn<ColumnArray>(arguments[0].column.get());
if (!col_array)
return nullptr;
const auto & col_nested = col_array->getData();
auto col_res = col_nested.cloneEmpty();
if (index.getType() == Field::Types::UInt64
|| (index.getType() == Field::Types::Int64 && index.get<Int64>() >= 0))
ArrayElementGenericImpl::vectorConst<false>(
col_nested, col_array->getOffsets(), index.get<UInt64>() - 1, *col_res, builder);
else if (index.getType() == Field::Types::Int64)
ArrayElementGenericImpl::vectorConst<true>(
col_nested, col_array->getOffsets(), -(static_cast<UInt64>(index.get<Int64>() + 1)), *col_res, builder);
else
throw Exception("Illegal type of array index", ErrorCodes::LOGICAL_ERROR);
return col_res;
}
template <typename IndexType>
ColumnPtr FunctionArrayElement::executeGeneric(
const ColumnsWithTypeAndName & arguments, const PaddedPODArray<IndexType> & indices, ArrayImpl::NullMapBuilder & builder)
{
const ColumnArray * col_array = checkAndGetColumn<ColumnArray>(arguments[0].column.get());
if (!col_array)
return nullptr;
const auto & col_nested = col_array->getData();
auto col_res = col_nested.cloneEmpty();
ArrayElementGenericImpl::vector<IndexType>(
col_nested, col_array->getOffsets(), indices, *col_res, builder);
return col_res;
}
template <typename IndexType>
ColumnPtr FunctionArrayElement::executeConst(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type,
const PaddedPODArray <IndexType> & indices, ArrayImpl::NullMapBuilder & builder,
size_t input_rows_count)
{
const ColumnArray * col_array = checkAndGetColumnConstData<ColumnArray>(arguments[0].column.get());
if (!col_array)
return nullptr;
auto res = result_type->createColumn();
size_t rows = input_rows_count;
const IColumn & array_elements = col_array->getData();
size_t array_size = array_elements.size();
for (size_t i = 0; i < rows; ++i)
{
IndexType index = indices[i];
if (index > 0 && static_cast<size_t>(index) <= array_size)
{
size_t j = index - 1;
res->insertFrom(array_elements, j);
if (builder)
builder.update(j);
}
else if (index < 0 && -static_cast<size_t>(index) <= array_size)
{
size_t j = array_size + index;
res->insertFrom(array_elements, j);
if (builder)
builder.update(j);
}
else
{
res->insertDefault();
if (builder)
builder.update();
}
}
return res;
}
template <typename IndexType>
ColumnPtr FunctionArrayElement::executeArgument(
const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, ArrayImpl::NullMapBuilder & builder, size_t input_rows_count) const
{
auto index = checkAndGetColumn<ColumnVector<IndexType>>(arguments[1].column.get());
if (!index)
return nullptr;
const auto & index_data = index->getData();
if (builder)
builder.initSink(index_data.size());
ColumnPtr res;
if (!((res = executeNumber<IndexType, UInt8>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, UInt16>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, UInt32>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, UInt64>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, Int8>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, Int16>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, Int32>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, Int64>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, Float32>(arguments, index_data, builder))
|| (res = executeNumber<IndexType, Float64>(arguments, index_data, builder))
|| (res = executeConst<IndexType>(arguments, result_type, index_data, builder, input_rows_count))
|| (res = executeString<IndexType>(arguments, index_data, builder))
|| (res = executeGeneric<IndexType>(arguments, index_data, builder))))
throw Exception("Illegal column " + arguments[0].column->getName()
+ " of first argument of function " + getName(), ErrorCodes::ILLEGAL_COLUMN);
return res;
}
ColumnPtr FunctionArrayElement::executeTuple(const ColumnsWithTypeAndName & arguments, size_t input_rows_count) const
{
const ColumnArray * col_array = typeid_cast<const ColumnArray *>(arguments[0].column.get());
if (!col_array)
return nullptr;
const ColumnTuple * col_nested = typeid_cast<const ColumnTuple *>(&col_array->getData());
if (!col_nested)
return nullptr;
const auto & tuple_columns = col_nested->getColumns();
size_t tuple_size = tuple_columns.size();
const DataTypes & tuple_types = typeid_cast<const DataTypeTuple &>(
*typeid_cast<const DataTypeArray &>(*arguments[0].type).getNestedType()).getElements();
/** We will calculate the function for the tuple of the internals of the array.
* To do this, create a temporary columns.
* It will consist of the following columns
* - the index of the array to be taken;
* - an array of the first elements of the tuples;
* - the result of taking the elements by the index for an array of the first elements of the tuples;
* - array of the second elements of the tuples;
* - result of taking elements by index for an array of second elements of tuples;
* ...
*/
ColumnsWithTypeAndName temporary_results(2);
temporary_results[1] = arguments[1];
/// results of taking elements by index for arrays from each element of the tuples;
Columns result_tuple_columns(tuple_size);
for (size_t i = 0; i < tuple_size; ++i)
{
ColumnWithTypeAndName array_of_tuple_section;
array_of_tuple_section.column = ColumnArray::create(tuple_columns[i], col_array->getOffsetsPtr());
array_of_tuple_section.type = std::make_shared<DataTypeArray>(tuple_types[i]);
temporary_results[0] = array_of_tuple_section;
auto type = getReturnTypeImpl({temporary_results[0].type, temporary_results[1].type});
auto col = executeImpl(temporary_results, type, input_rows_count);
result_tuple_columns[i] = std::move(col);
}
return ColumnTuple::create(result_tuple_columns);
}
namespace
{
template<typename DataColumn, typename IndexColumn>
struct MatcherString
{
const DataColumn & data;
const IndexColumn & index;
bool match(size_t row_data, size_t row_index) const
{
auto data_ref = data.getDataAt(row_data);
auto index_ref = index.getDataAt(row_index);
return memequalSmallAllowOverflow15(index_ref.data, index_ref.size, data_ref.data, data_ref.size);
}
};
template<typename DataColumn>
struct MatcherStringConst
{
const DataColumn & data;
const String & index;
bool match(size_t row_data, size_t /* row_index */) const
{
auto data_ref = data.getDataAt(row_data);
return index.size() == data_ref.size && memcmp(index.data(), data_ref.data, data_ref.size) == 0;
}
};
template <typename DataType, typename IndexType>
struct MatcherNumber
{
const PaddedPODArray<DataType> & data;
const PaddedPODArray<IndexType> & index;
bool match(size_t row_data, size_t row_index) const
{
return data[row_data] == static_cast<DataType>(index[row_index]);
}
};
template <typename DataType>
struct MatcherNumberConst
{
const PaddedPODArray<DataType> & data;
DataType index;
bool match(size_t row_data, size_t /* row_index */) const
{
return data[row_data] == index;
}
};
}
template <typename Matcher>
void FunctionArrayElement::executeMatchKeyToIndex(
const Offsets & offsets, PaddedPODArray<UInt64> & matched_idxs, const Matcher & matcher)
{
size_t rows = offsets.size();
for (size_t i = 0; i < rows; ++i)
{
bool matched = false;
size_t begin = offsets[i - 1];
size_t end = offsets[i];
for (size_t j = begin; j < end; ++j)
{
if (matcher.match(j, i))
{
matched_idxs.push_back(j - begin + 1);
matched = true;
break;
}
}
if (!matched)
matched_idxs.push_back(0);
}
}
template <typename Matcher>
void FunctionArrayElement::executeMatchConstKeyToIndex(
size_t num_rows, size_t num_values,
PaddedPODArray<UInt64> & matched_idxs, const Matcher & matcher)
{
for (size_t i = 0; i < num_rows; ++i)
{
bool matched = false;
for (size_t j = 0; j < num_values; ++j)
{
if (matcher.match(j, i))
{
matched_idxs.push_back(j + 1);
matched = true;
break;
}
}
if (!matched)
matched_idxs.push_back(0);
}
}
template <typename F>
static bool castColumnString(const IColumn * column, F && f)
{
return castTypeToEither<ColumnString, ColumnFixedString>(column, std::forward<F>(f));
}
bool FunctionArrayElement::matchKeyToIndexStringConst(
const IColumn & data, const Offsets & offsets,
const Field & index, PaddedPODArray<UInt64> & matched_idxs)
{
return castColumnString(&data, [&](const auto & data_column)
{
using DataColumn = std::decay_t<decltype(data_column)>;
if (index.getType() != Field::Types::String)
return false;
MatcherStringConst<DataColumn> matcher{data_column, index.get<const String &>()};
executeMatchKeyToIndex(offsets, matched_idxs, matcher);
return true;
});
}
bool FunctionArrayElement::matchKeyToIndexString(
const IColumn & data, const Offsets & offsets, bool is_key_const,
const IColumn & index, PaddedPODArray<UInt64> & matched_idxs)
{
return castColumnString(&data, [&](const auto & data_column)
{
return castColumnString(&index, [&](const auto & index_column)
{
using DataColumn = std::decay_t<decltype(data_column)>;
using IndexColumn = std::decay_t<decltype(index_column)>;
MatcherString<DataColumn, IndexColumn> matcher{data_column, index_column};
if (is_key_const)
executeMatchConstKeyToIndex(index.size(), data.size(), matched_idxs, matcher);
else
executeMatchKeyToIndex(offsets, matched_idxs, matcher);
return true;
});
});
}
template <typename FromType, typename ToType>
static constexpr bool areConvertibleTypes =
std::is_same_v<FromType, ToType>
|| (is_integer<FromType> && is_integer<ToType>
&& std::is_convertible_v<FromType, ToType>);
template <typename F>
static bool castColumnNumeric(const IColumn * column, F && f)
{
return castTypeToEither<
ColumnVector<UInt8>,
ColumnVector<UInt16>,
ColumnVector<UInt32>,
ColumnVector<UInt64>,
ColumnVector<UInt128>,
ColumnVector<UInt256>,
ColumnVector<Int8>,
ColumnVector<Int16>,
ColumnVector<Int32>,
ColumnVector<Int64>,
ColumnVector<Int128>,
ColumnVector<Int256>,
ColumnVector<UUID>
>(column, std::forward<F>(f));
}
bool FunctionArrayElement::matchKeyToIndexNumberConst(
const IColumn & data, const Offsets & offsets,
const Field & index, PaddedPODArray<UInt64> & matched_idxs)
{
return castColumnNumeric(&data, [&](const auto & data_column)
{
using DataType = typename std::decay_t<decltype(data_column)>::ValueType;
std::optional<DataType> index_as_integer;
Field::dispatch([&](const auto & value)
{
using FieldType = std::decay_t<decltype(value)>;
if constexpr (areConvertibleTypes<FieldType, DataType>)
index_as_integer = static_cast<DataType>(value);
}, index);
if (!index_as_integer)
return false;
MatcherNumberConst<DataType> matcher{data_column.getData(), *index_as_integer};
executeMatchKeyToIndex(offsets, matched_idxs, matcher);
return true;
});
}
bool FunctionArrayElement::matchKeyToIndexNumber(
const IColumn & data, const Offsets & offsets, bool is_key_const,
const IColumn & index, PaddedPODArray<UInt64> & matched_idxs)
{
return castColumnNumeric(&data, [&](const auto & data_column)
{
return castColumnNumeric(&index, [&](const auto & index_column)
{
using DataType = typename std::decay_t<decltype(data_column)>::ValueType;
using IndexType = typename std::decay_t<decltype(index_column)>::ValueType;
if constexpr (areConvertibleTypes<IndexType, DataType>)
{
MatcherNumber<DataType, IndexType> matcher{data_column.getData(), index_column.getData()};
if (is_key_const)
executeMatchConstKeyToIndex(index_column.size(), data_column.size(), matched_idxs, matcher);
else
executeMatchKeyToIndex(offsets, matched_idxs, matcher);
return true;
}
return false;
});
});
}
ColumnPtr FunctionArrayElement::executeMap(
const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const
{
const auto * col_map = checkAndGetColumn<ColumnMap>(arguments[0].column.get());
const auto * col_const_map = checkAndGetColumnConst<ColumnMap>(arguments[0].column.get());
assert(col_map || col_const_map);
if (col_const_map)
col_map = typeid_cast<const ColumnMap *>(&col_const_map->getDataColumn());
const auto & nested_column = col_map->getNestedColumn();
const auto & keys_data = col_map->getNestedData().getColumn(0);
const auto & values_data = col_map->getNestedData().getColumn(1);
const auto & offsets = nested_column.getOffsets();