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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with | ||
* this work for additional information regarding copyright ownership. | ||
* The ASF licenses this file to You under the Apache License, Version 2.0 | ||
* (the "License"); you may not use this file except in compliance with | ||
* the License. You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
#include <Functions/SparkFunctionSortArray.h> | ||
#include <Functions/FunctionFactory.h> | ||
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namespace DB | ||
{ | ||
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namespace ErrorCodes | ||
{ | ||
extern const int LOGICAL_ERROR; | ||
} | ||
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namespace | ||
{ | ||
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template <bool positive> | ||
struct Less | ||
{ | ||
const IColumn & column; | ||
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explicit Less(const IColumn & column_) : column(column_) { } | ||
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bool operator()(size_t lhs, size_t rhs) const | ||
{ | ||
if constexpr (positive) | ||
/* | ||
Note: We use nan_direction_hint=-1 for ascending sort to make NULL the least value. | ||
However, NaN is also considered the least value, | ||
which results in different sorting results compared to Spark since Spark treats NaN as the greatest value. | ||
For now, we are temporarily ignoring this issue because cases with NaN are rare, | ||
and aligning with Spark would require tricky modifications to the CH underlying code. | ||
*/ | ||
return column.compareAt(lhs, rhs, column, -1) < 0; | ||
else | ||
return column.compareAt(lhs, rhs, column, -1) > 0; | ||
} | ||
}; | ||
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} | ||
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template <bool positive> | ||
ColumnPtr SparkSortArrayImpl<positive>::execute( | ||
const ColumnArray & array, | ||
ColumnPtr mapped, | ||
const ColumnWithTypeAndName * fixed_arguments [[maybe_unused]]) | ||
{ | ||
const ColumnArray::Offsets & offsets = array.getOffsets(); | ||
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size_t size = offsets.size(); | ||
size_t nested_size = array.getData().size(); | ||
IColumn::Permutation permutation(nested_size); | ||
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for (size_t i = 0; i < nested_size; ++i) | ||
permutation[i] = i; | ||
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ColumnArray::Offset current_offset = 0; | ||
for (size_t i = 0; i < size; ++i) | ||
{ | ||
auto next_offset = offsets[i]; | ||
::sort(&permutation[current_offset], &permutation[next_offset], Less<positive>(*mapped)); | ||
current_offset = next_offset; | ||
} | ||
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return ColumnArray::create(array.getData().permute(permutation, 0), array.getOffsetsPtr()); | ||
} | ||
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REGISTER_FUNCTION(SortArraySpark) | ||
{ | ||
factory.registerFunction<SparkFunctionSortArray>(); | ||
factory.registerFunction<SparkFunctionReverseSortArray>(); | ||
} | ||
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} |
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