mirror of
https://github.com/ClickHouse/ClickHouse.git
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517 lines
19 KiB
C++
517 lines
19 KiB
C++
#include <Columns/ColumnString.h>
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#include <Columns/ColumnsNumber.h>
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#include <DataTypes/DataTypeString.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionsStringSimilarity.h>
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#include <Common/PODArray.h>
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#include <Common/UTF8Helpers.h>
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#include <Common/iota.h>
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#include <numeric>
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#ifdef __SSE4_2__
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# include <nmmintrin.h>
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#endif
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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 BAD_ARGUMENTS;
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extern const int TOO_LARGE_STRING_SIZE;
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}
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template <typename Op>
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struct FunctionStringDistanceImpl
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{
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using ResultType = typename Op::ResultType;
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static void constantConstant(const String & haystack, const String & needle, ResultType & res)
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{
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res = Op::process(haystack.data(), haystack.size(), needle.data(), needle.size());
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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 ColumnString::Chars & needle_data,
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const ColumnString::Offsets & needle_offsets,
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PaddedPODArray<ResultType> & res)
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{
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size_t size = res.size();
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const char * haystack = reinterpret_cast<const char *>(haystack_data.data());
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const char * needle = reinterpret_cast<const char *>(needle_data.data());
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for (size_t i = 0; i < size; ++i)
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{
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res[i] = Op::process(
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haystack + haystack_offsets[i - 1],
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haystack_offsets[i] - haystack_offsets[i - 1] - 1,
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needle + needle_offsets[i - 1],
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needle_offsets[i] - needle_offsets[i - 1] - 1);
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}
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}
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static void constantVector(
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const String & haystack,
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const ColumnString::Chars & needle_data,
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const ColumnString::Offsets & needle_offsets,
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PaddedPODArray<ResultType> & res)
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{
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const char * haystack_data = haystack.data();
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size_t haystack_size = haystack.size();
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const char * needle = reinterpret_cast<const char *>(needle_data.data());
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size_t size = res.size();
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for (size_t i = 0; i < size; ++i)
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{
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res[i] = Op::process(haystack_data, haystack_size,
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needle + needle_offsets[i - 1], needle_offsets[i] - needle_offsets[i - 1] - 1);
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}
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}
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static void vectorConstant(
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const ColumnString::Chars & data,
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const ColumnString::Offsets & offsets,
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const String & needle,
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PaddedPODArray<ResultType> & res)
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{
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constantVector(needle, data, offsets, res);
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}
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};
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struct ByteHammingDistanceImpl
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{
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using ResultType = UInt64;
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static ResultType process(
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const char * __restrict haystack, size_t haystack_size, const char * __restrict needle, size_t needle_size)
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{
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UInt64 res = 0;
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const char * haystack_end = haystack + haystack_size;
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const char * needle_end = needle + needle_size;
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#ifdef __SSE4_2__
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static constexpr auto mode = _SIDD_UBYTE_OPS | _SIDD_CMP_EQUAL_EACH | _SIDD_NEGATIVE_POLARITY;
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const char * haystack_end16 = haystack + haystack_size / 16 * 16;
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const char * needle_end16 = needle + needle_size / 16 * 16;
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for (; haystack < haystack_end16 && needle < needle_end16; haystack += 16, needle += 16)
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{
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__m128i s1 = _mm_loadu_si128(reinterpret_cast<const __m128i *>(haystack));
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__m128i s2 = _mm_loadu_si128(reinterpret_cast<const __m128i *>(needle));
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auto result_mask = _mm_cmpestrm(s1, 16, s2, 16, mode);
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const __m128i mask_hi = _mm_unpackhi_epi64(result_mask, result_mask);
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res += _mm_popcnt_u64(_mm_cvtsi128_si64(result_mask)) + _mm_popcnt_u64(_mm_cvtsi128_si64(mask_hi));
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}
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#endif
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for (; haystack != haystack_end && needle != needle_end; ++haystack, ++needle)
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res += *haystack != *needle;
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res = res + (haystack_end - haystack) + (needle_end - needle);
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return res;
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}
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};
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template <bool is_utf8>
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struct ByteJaccardIndexImpl
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{
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using ResultType = Float64;
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static ResultType process(
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const char * __restrict haystack, size_t haystack_size, const char * __restrict needle, size_t needle_size)
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{
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if (haystack_size == 0 || needle_size == 0)
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return 0;
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const char * haystack_end = haystack + haystack_size;
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const char * needle_end = needle + needle_size;
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/// For byte strings use plain array as a set
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constexpr size_t max_size = std::numeric_limits<unsigned char>::max() + 1;
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std::array<UInt8, max_size> haystack_set;
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std::array<UInt8, max_size> needle_set;
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/// For UTF-8 strings we also use sets of code points greater than max_size
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std::set<UInt32> haystack_utf8_set;
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std::set<UInt32> needle_utf8_set;
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haystack_set.fill(0);
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needle_set.fill(0);
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while (haystack < haystack_end)
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{
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size_t len = 1;
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if constexpr (is_utf8)
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len = UTF8::seqLength(*haystack);
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if (len == 1)
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{
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haystack_set[static_cast<unsigned char>(*haystack)] = 1;
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++haystack;
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}
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else
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{
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auto code_point = UTF8::convertUTF8ToCodePoint(haystack, haystack_end - haystack);
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if (code_point.has_value())
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{
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haystack_utf8_set.insert(code_point.value());
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haystack += len;
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}
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else
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{
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throw Exception(ErrorCodes::BAD_ARGUMENTS, "Illegal UTF-8 sequence, while processing '{}'", StringRef(haystack, haystack_end - haystack));
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}
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}
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}
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while (needle < needle_end)
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{
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size_t len = 1;
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if constexpr (is_utf8)
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len = UTF8::seqLength(*needle);
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if (len == 1)
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{
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needle_set[static_cast<unsigned char>(*needle)] = 1;
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++needle;
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}
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else
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{
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auto code_point = UTF8::convertUTF8ToCodePoint(needle, needle_end - needle);
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if (code_point.has_value())
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{
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needle_utf8_set.insert(code_point.value());
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needle += len;
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}
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else
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{
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throw Exception(ErrorCodes::BAD_ARGUMENTS, "Illegal UTF-8 sequence, while processing '{}'", StringRef(needle, needle_end - needle));
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}
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}
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}
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UInt8 intersection = 0;
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UInt8 union_size = 0;
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if constexpr (is_utf8)
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{
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auto lit = haystack_utf8_set.begin();
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auto rit = needle_utf8_set.begin();
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while (lit != haystack_utf8_set.end() && rit != needle_utf8_set.end())
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{
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if (*lit == *rit)
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{
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++intersection;
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++lit;
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++rit;
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}
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else if (*lit < *rit)
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++lit;
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else
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++rit;
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}
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union_size = haystack_utf8_set.size() + needle_utf8_set.size() - intersection;
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}
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for (size_t i = 0; i < max_size; ++i)
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{
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intersection += haystack_set[i] & needle_set[i];
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union_size += haystack_set[i] | needle_set[i];
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}
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return static_cast<ResultType>(intersection) / static_cast<ResultType>(union_size);
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}
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};
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static constexpr size_t max_string_size = 1u << 16;
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struct ByteEditDistanceImpl
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{
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using ResultType = UInt64;
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static ResultType process(
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const char * __restrict haystack, size_t haystack_size, const char * __restrict needle, size_t needle_size)
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{
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if (haystack_size == 0 || needle_size == 0)
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return haystack_size + needle_size;
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/// Safety threshold against DoS, since we use two arrays to calculate the distance.
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if (haystack_size > max_string_size || needle_size > max_string_size)
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throw Exception(
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ErrorCodes::TOO_LARGE_STRING_SIZE,
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"The string size is too big for function editDistance, should be at most {}", max_string_size);
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PaddedPODArray<ResultType> distances0(haystack_size + 1, 0);
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PaddedPODArray<ResultType> distances1(haystack_size + 1, 0);
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ResultType substitution = 0;
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ResultType insertion = 0;
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ResultType deletion = 0;
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iota(distances0.data(), haystack_size + 1, ResultType(0));
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for (size_t pos_needle = 0; pos_needle < needle_size; ++pos_needle)
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{
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distances1[0] = pos_needle + 1;
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for (size_t pos_haystack = 0; pos_haystack < haystack_size; pos_haystack++)
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{
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deletion = distances0[pos_haystack + 1] + 1;
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insertion = distances1[pos_haystack] + 1;
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substitution = distances0[pos_haystack];
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if (*(needle + pos_needle) != *(haystack + pos_haystack))
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substitution += 1;
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distances1[pos_haystack + 1] = std::min(deletion, std::min(substitution, insertion));
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}
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distances0.swap(distances1);
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}
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return distances0[haystack_size];
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}
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};
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struct ByteDamerauLevenshteinDistanceImpl
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{
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using ResultType = UInt64;
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static ResultType process(
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const char * __restrict haystack, size_t haystack_size, const char * __restrict needle, size_t needle_size)
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{
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/// Safety threshold against DoS
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if (haystack_size > max_string_size || needle_size > max_string_size)
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throw Exception(
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ErrorCodes::TOO_LARGE_STRING_SIZE,
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"The string size is too big for function damerauLevenshteinDistance, should be at most {}", max_string_size);
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/// Shortcuts:
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if (haystack_size == 0)
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return needle_size;
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if (needle_size == 0)
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return haystack_size;
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if (haystack_size == needle_size && memcmp(haystack, needle, haystack_size) == 0)
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return 0;
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/// Implements the algorithm for optimal string alignment distance from
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/// https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance#Optimal_string_alignment_distance
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/// Dynamically allocate memory for the 2D array
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/// Allocating a 2D array, for convenience starts is an array of pointers to the start of the rows.
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std::vector<int> d((needle_size + 1) * (haystack_size + 1));
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std::vector<int *> starts(haystack_size + 1);
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/// Setting the pointers in starts to the beginning of (needle_size + 1)-long intervals.
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/// Also initialize the row values based on the mentioned algorithm.
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for (size_t i = 0; i <= haystack_size; ++i)
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{
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starts[i] = d.data() + (needle_size + 1) * i;
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starts[i][0] = static_cast<int>(i);
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}
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for (size_t j = 0; j <= needle_size; ++j)
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{
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starts[0][j] = static_cast<int>(j);
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}
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for (size_t i = 1; i <= haystack_size; ++i)
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{
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for (size_t j = 1; j <= needle_size; ++j)
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{
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int cost = (haystack[i - 1] == needle[j - 1]) ? 0 : 1;
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starts[i][j] = std::min(starts[i - 1][j] + 1, /// deletion
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std::min(starts[i][j - 1] + 1, /// insertion
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starts[i - 1][j - 1] + cost) /// substitution
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);
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if (i > 1 && j > 1 && haystack[i - 1] == needle[j - 2] && haystack[i - 2] == needle[j - 1])
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starts[i][j] = std::min(starts[i][j], starts[i - 2][j - 2] + 1); /// transposition
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}
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}
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return starts[haystack_size][needle_size];
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}
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};
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struct ByteJaroSimilarityImpl
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{
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using ResultType = Float64;
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static ResultType process(
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const char * __restrict haystack, size_t haystack_size, const char * __restrict needle, size_t needle_size)
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{
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/// Safety threshold against DoS
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if (haystack_size > max_string_size || needle_size > max_string_size)
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throw Exception(
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ErrorCodes::TOO_LARGE_STRING_SIZE,
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"The string size is too big for function jaroSimilarity, should be at most {}", max_string_size);
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/// Shortcuts:
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if (haystack_size == 0)
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return needle_size;
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if (needle_size == 0)
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return haystack_size;
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if (haystack_size == needle_size && memcmp(haystack, needle, haystack_size) == 0)
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return 1.0;
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const int s1len = static_cast<int>(haystack_size);
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const int s2len = static_cast<int>(needle_size);
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/// Window size to search for matches in the other string
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const int max_range = std::max(0, std::max(s1len, s2len) / 2 - 1);
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std::vector<int> s1_matching(s1len, -1);
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std::vector<int> s2_matching(s2len, -1);
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/// Calculate matching characters
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size_t matching_characters = 0;
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for (int i = 0; i < s1len; i++)
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{
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/// Matching window
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const int min_index = std::max(i - max_range, 0);
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const int max_index = std::min(i + max_range + 1, s2len);
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for (int j = min_index; j < max_index; j++)
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{
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if (s2_matching[j] == -1 && haystack[i] == needle[j])
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{
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s1_matching[i] = i;
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s2_matching[j] = j;
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matching_characters++;
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break;
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}
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}
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}
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if (matching_characters == 0)
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return 0.0;
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/// Transpositions (one-way only)
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double transpositions = 0.0;
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for (size_t i = 0, s1i = 0, s2i = 0; i < matching_characters; i++)
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{
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while (s1_matching[s1i] == -1)
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s1i++;
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while (s2_matching[s2i] == -1)
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s2i++;
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if (haystack[s1i] != needle[s2i])
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transpositions += 0.5;
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s1i++;
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s2i++;
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}
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double m = static_cast<double>(matching_characters);
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double jaro_similarity = 1.0 / 3.0 * (m / static_cast<double>(s1len)
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+ m / static_cast<double>(s2len)
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+ (m - transpositions) / m);
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return jaro_similarity;
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}
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};
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struct ByteJaroWinklerSimilarityImpl
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{
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using ResultType = Float64;
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static ResultType process(
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const char * __restrict haystack, size_t haystack_size, const char * __restrict needle, size_t needle_size)
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{
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static constexpr int max_prefix_length = 4;
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static constexpr double scaling_factor = 0.1;
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static constexpr double boost_threshold = 0.7;
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/// Safety threshold against DoS
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if (haystack_size > max_string_size || needle_size > max_string_size)
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throw Exception(
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ErrorCodes::TOO_LARGE_STRING_SIZE,
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"The string size is too big for function jaroWinklerSimilarity, should be at most {}", max_string_size);
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const int s1len = static_cast<int>(haystack_size);
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const int s2len = static_cast<int>(needle_size);
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ResultType jaro_winkler_similarity = ByteJaroSimilarityImpl::process(haystack, haystack_size, needle, needle_size);
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if (jaro_winkler_similarity > boost_threshold)
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{
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const int common_length = std::min(max_prefix_length, std::min(s1len, s2len));
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int common_prefix = 0;
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while (common_prefix < common_length && haystack[common_prefix] == needle[common_prefix])
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common_prefix++;
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jaro_winkler_similarity += common_prefix * scaling_factor * (1.0 - jaro_winkler_similarity);
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}
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return jaro_winkler_similarity;
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}
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};
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struct NameByteHammingDistance
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{
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static constexpr auto name = "byteHammingDistance";
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};
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using FunctionByteHammingDistance = FunctionsStringSimilarity<FunctionStringDistanceImpl<ByteHammingDistanceImpl>, NameByteHammingDistance>;
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struct NameEditDistance
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{
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static constexpr auto name = "editDistance";
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};
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using FunctionEditDistance = FunctionsStringSimilarity<FunctionStringDistanceImpl<ByteEditDistanceImpl>, NameEditDistance>;
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struct NameDamerauLevenshteinDistance
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{
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static constexpr auto name = "damerauLevenshteinDistance";
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};
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using FunctionDamerauLevenshteinDistance = FunctionsStringSimilarity<FunctionStringDistanceImpl<ByteDamerauLevenshteinDistanceImpl>, NameDamerauLevenshteinDistance>;
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struct NameJaccardIndex
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{
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static constexpr auto name = "stringJaccardIndex";
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};
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using FunctionStringJaccardIndex = FunctionsStringSimilarity<FunctionStringDistanceImpl<ByteJaccardIndexImpl<false>>, NameJaccardIndex>;
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struct NameJaccardIndexUTF8
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{
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static constexpr auto name = "stringJaccardIndexUTF8";
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};
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using FunctionStringJaccardIndexUTF8 = FunctionsStringSimilarity<FunctionStringDistanceImpl<ByteJaccardIndexImpl<true>>, NameJaccardIndexUTF8>;
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struct NameJaroSimilarity
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{
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static constexpr auto name = "jaroSimilarity";
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};
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using FunctionJaroSimilarity = FunctionsStringSimilarity<FunctionStringDistanceImpl<ByteJaroSimilarityImpl>, NameJaroSimilarity>;
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struct NameJaroWinklerSimilarity
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{
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static constexpr auto name = "jaroWinklerSimilarity";
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};
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using FunctionJaroWinklerSimilarity = FunctionsStringSimilarity<FunctionStringDistanceImpl<ByteJaroWinklerSimilarityImpl>, NameJaroWinklerSimilarity>;
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REGISTER_FUNCTION(StringDistance)
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{
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factory.registerFunction<FunctionByteHammingDistance>(
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FunctionDocumentation{.description = R"(Calculates Hamming distance between two byte-strings.)"});
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factory.registerAlias("mismatches", NameByteHammingDistance::name);
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factory.registerFunction<FunctionEditDistance>(
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FunctionDocumentation{.description = R"(Calculates the edit distance between two byte-strings.)"});
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factory.registerAlias("levenshteinDistance", NameEditDistance::name);
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factory.registerFunction<FunctionDamerauLevenshteinDistance>(
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FunctionDocumentation{.description = R"(Calculates the Damerau-Levenshtein distance two between two byte-string.)"});
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factory.registerFunction<FunctionStringJaccardIndex>(
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FunctionDocumentation{.description = R"(Calculates the Jaccard similarity index between two byte strings.)"});
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factory.registerFunction<FunctionStringJaccardIndexUTF8>(
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FunctionDocumentation{.description = R"(Calculates the Jaccard similarity index between two UTF8 strings.)"});
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factory.registerFunction<FunctionJaroSimilarity>(
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FunctionDocumentation{.description = R"(Calculates the Jaro similarity between two byte-string.)"});
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factory.registerFunction<FunctionJaroWinklerSimilarity>(
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FunctionDocumentation{.description = R"(Calculates the Jaro-Winkler similarity between two byte-string.)"});
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}
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}
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