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https://github.com/ClickHouse/ClickHouse.git
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219 lines
6.8 KiB
C++
219 lines
6.8 KiB
C++
#include <Functions/FunctionsStringSimilarity.h>
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#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionsHashing.h>
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#include <Common/HashTable/ClearableHashMap.h>
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#include <Common/HashTable/Hash.h>
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#include <Common/UTF8Helpers.h>
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#include <Core/Defines.h>
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#include <algorithm>
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#include <cstring>
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#include <limits>
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#include <memory>
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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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/** Distance function implementation.
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* We calculate all the trigrams from left string and count by the index of
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* 16 bits hash of them in the map.
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* Then calculate all the trigrams from the right string and calculate
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* the trigram distance on the flight by adding and subtracting from the hashmap.
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* Then return the map into the condition of which it was after the left string
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* calculation. If the right string size is big (more than 2**15 bytes),
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* the strings are not similar at all and we return 1.
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*/
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struct TrigramDistanceImpl
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{
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using ResultType = Float32;
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using CodePoint = UInt32;
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/// map_size for trigram difference
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static constexpr size_t map_size = 1u << 16;
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/// If the haystack size is bigger than this, behaviour is unspecified for this function
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static constexpr size_t max_string_size = 1u << 15;
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/** This fits mostly in L2 cache all the time.
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* Actually use UInt16 as addings and subtractions do not UB overflow. But think of it as a signed
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* integer array.
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*/
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using TrigramStats = UInt16[map_size];
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static ALWAYS_INLINE UInt16 trigramHash(CodePoint one, CodePoint two, CodePoint three)
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{
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UInt64 combined = (static_cast<UInt64>(one) << 32) | two;
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#ifdef __SSE4_2__
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return _mm_crc32_u64(three, combined) & 0xFFFFu;
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#else
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return (intHashCRC32(combined) ^ intHashCRC32(three)) & 0xFFFFu;
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#endif
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}
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static ALWAYS_INLINE CodePoint readCodePoint(const char *& pos, const char * end) noexcept
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{
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size_t length = UTF8::seqLength(*pos);
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if (pos + length > end)
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length = end - pos;
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CodePoint res;
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/// This is faster than just memcpy because of compiler optimizations with moving bytes.
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switch (length)
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{
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case 1:
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res = 0;
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memcpy(&res, pos, 1);
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break;
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case 2:
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res = 0;
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memcpy(&res, pos, 2);
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break;
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case 3:
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res = 0;
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memcpy(&res, pos, 3);
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break;
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default:
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memcpy(&res, pos, 4);
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}
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pos += length;
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return res;
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}
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static inline size_t calculateNeedleStats(const char * data, const size_t size, TrigramStats & trigram_stats) noexcept
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{
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size_t len = 0;
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const char * start = data;
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const char * end = data + size;
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CodePoint cp1 = 0;
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CodePoint cp2 = 0;
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CodePoint cp3 = 0;
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while (start != end)
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{
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cp1 = cp2;
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cp2 = cp3;
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cp3 = readCodePoint(start, end);
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++len;
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if (len < 3)
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continue;
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++trigram_stats[trigramHash(cp1, cp2, cp3)];
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}
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return std::max(static_cast<Int64>(0), static_cast<Int64>(len) - 2);
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}
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static inline UInt64 calculateHaystackStatsAndMetric(const char * data, const size_t size, TrigramStats & trigram_stats, size_t & distance)
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{
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size_t len = 0;
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size_t trigram_cnt = 0;
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const char * start = data;
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const char * end = data + size;
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CodePoint cp1 = 0;
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CodePoint cp2 = 0;
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CodePoint cp3 = 0;
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/// allocation tricks, most strings are relatively small
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static constexpr size_t small_buffer_size = 256;
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std::unique_ptr<UInt16[]> big_buffer;
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UInt16 small_buffer[small_buffer_size];
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UInt16 * trigram_storage = small_buffer;
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if (size > small_buffer_size)
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{
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trigram_storage = new UInt16[size];
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big_buffer.reset(trigram_storage);
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}
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while (start != end)
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{
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cp1 = cp2;
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cp2 = cp3;
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cp3 = readCodePoint(start, end);
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++len;
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if (len < 3)
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continue;
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UInt16 hash = trigramHash(cp1, cp2, cp3);
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if (static_cast<Int16>(trigram_stats[hash]) > 0)
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--distance;
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else
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++distance;
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trigram_storage[trigram_cnt++] = hash;
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--trigram_stats[hash];
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}
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/// Return the state of hash map to its initial.
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for (size_t i = 0; i < trigram_cnt; ++i)
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++trigram_stats[trigram_storage[i]];
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return trigram_cnt;
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}
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static void constant_constant(const std::string & data, const std::string & needle, Float32 & res)
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{
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TrigramStats common_stats;
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memset(common_stats, 0, sizeof(common_stats));
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size_t second_size = calculateNeedleStats(needle.data(), needle.size(), common_stats);
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size_t distance = second_size;
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if (data.size() <= max_string_size)
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{
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size_t first_size = calculateHaystackStatsAndMetric(data.data(), data.size(), common_stats, distance);
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res = distance * 1.f / std::max(first_size + second_size, size_t(1));
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}
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else
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{
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res = 1.f;
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}
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}
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static void vector_constant(
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const ColumnString::Chars & data, const ColumnString::Offsets & offsets, const std::string & needle, PaddedPODArray<Float32> & res)
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{
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TrigramStats common_stats;
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memset(common_stats, 0, sizeof(common_stats));
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const size_t needle_stats_size = calculateNeedleStats(needle.data(), needle.size(), common_stats);
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size_t distance = needle_stats_size;
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size_t prev_offset = 0;
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for (size_t i = 0; i < offsets.size(); ++i)
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{
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const UInt8 * haystack = &data[prev_offset];
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const size_t haystack_size = offsets[i] - prev_offset - 1;
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if (haystack_size <= max_string_size)
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{
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size_t haystack_stats_size
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= calculateHaystackStatsAndMetric(reinterpret_cast<const char *>(haystack), haystack_size, common_stats, distance);
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res[i] = distance * 1.f / std::max(haystack_stats_size + needle_stats_size, size_t(1));
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}
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else
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{
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res[i] = 1.f;
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}
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distance = needle_stats_size;
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prev_offset = offsets[i];
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}
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}
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};
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struct TrigramDistanceName
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{
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static constexpr auto name = "trigramDistance";
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};
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using FunctionTrigramsDistance = FunctionsStringSimilarity<TrigramDistanceImpl, TrigramDistanceName>;
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void registerFunctionsStringSimilarity(FunctionFactory & factory)
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{
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factory.registerFunction<FunctionTrigramsDistance>();
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}
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}
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