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129 lines
4.5 KiB
C++
129 lines
4.5 KiB
C++
#pragma once
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#include <vector>
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#include <Columns/ColumnArray.h>
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#include <Columns/ColumnString.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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}
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template <typename Name, typename Impl>
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struct MultiSearchFirstIndexImpl
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{
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using ResultType = UInt64;
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/// Variable for understanding, if we used offsets for the output, most
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/// likely to determine whether the function returns ColumnVector of ColumnArray.
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static constexpr bool is_column_array = false;
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static constexpr auto name = Name::name;
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static auto getReturnType() { return std::make_shared<DataTypeNumber<ResultType>>(); }
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static void vectorConstant(
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const ColumnString::Chars & haystack_data,
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const ColumnString::Offsets & haystack_offsets,
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const Array & needles_arr,
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PaddedPODArray<UInt64> & res,
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PaddedPODArray<UInt64> & /*offsets*/,
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bool /*allow_hyperscan*/,
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size_t /*max_hyperscan_regexp_length*/,
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size_t /*max_hyperscan_regexp_total_length*/)
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{
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// For performance of Volnitsky search, it is crucial to save only one byte for pattern number.
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if (needles_arr.size() > std::numeric_limits<UInt8>::max())
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throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
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"Number of arguments for function {} doesn't match: passed {}, should be at most {}",
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name, std::to_string(needles_arr.size()), std::to_string(std::numeric_limits<UInt8>::max()));
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std::vector<std::string_view> needles;
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needles.reserve(needles_arr.size());
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for (const auto & needle : needles_arr)
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needles.emplace_back(needle.get<String>());
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auto searcher = Impl::createMultiSearcherInBigHaystack(needles);
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const size_t haystack_size = haystack_offsets.size();
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res.resize(haystack_size);
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size_t iteration = 0;
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while (searcher.hasMoreToSearch())
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{
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size_t prev_haystack_offset = 0;
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for (size_t j = 0; j < haystack_size; ++j)
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{
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const auto * haystack = &haystack_data[prev_haystack_offset];
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const auto * haystack_end = haystack + haystack_offsets[j] - prev_haystack_offset - 1;
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/// hasMoreToSearch traverse needles in increasing order
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if (iteration == 0 || res[j] == 0)
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res[j] = searcher.searchOneFirstIndex(haystack, haystack_end);
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prev_haystack_offset = haystack_offsets[j];
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}
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++iteration;
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}
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if (iteration == 0)
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std::fill(res.begin(), res.end(), 0);
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}
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static void vectorVector(
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const ColumnString::Chars & haystack_data,
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const ColumnString::Offsets & haystack_offsets,
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const IColumn & needles_data,
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const ColumnArray::Offsets & needles_offsets,
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PaddedPODArray<ResultType> & res,
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PaddedPODArray<UInt64> & /*offsets*/,
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bool /*allow_hyperscan*/,
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size_t /*max_hyperscan_regexp_length*/,
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size_t /*max_hyperscan_regexp_total_length*/)
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{
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const size_t haystack_size = haystack_offsets.size();
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res.resize(haystack_size);
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size_t prev_haystack_offset = 0;
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size_t prev_needles_offset = 0;
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const ColumnString * needles_data_string = checkAndGetColumn<ColumnString>(&needles_data);
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std::vector<std::string_view> needles;
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for (size_t i = 0; i < haystack_size; ++i)
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{
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needles.reserve(needles_offsets[i] - prev_needles_offset);
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for (size_t j = prev_needles_offset; j < needles_offsets[i]; ++j)
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{
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needles.emplace_back(needles_data_string->getDataAt(j).toView());
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}
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auto searcher = Impl::createMultiSearcherInBigHaystack(needles); // sub-optimal
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const auto * const haystack = &haystack_data[prev_haystack_offset];
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const auto * haystack_end = haystack + haystack_offsets[i] - prev_haystack_offset - 1;
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size_t iteration = 0;
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while (searcher.hasMoreToSearch())
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{
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if (iteration == 0 || res[i] == 0)
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{
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res[i] = searcher.searchOneFirstIndex(haystack, haystack_end);
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}
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++iteration;
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}
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if (iteration == 0)
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{
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res[i] = 0;
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}
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prev_haystack_offset = haystack_offsets[i];
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prev_needles_offset = needles_offsets[i];
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needles.clear();
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}
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}
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};
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}
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