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Factorize constants
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37d8155773
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@ -25,6 +25,11 @@ namespace ErrorCodes
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extern const int LOGICAL_ERROR;
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}
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static constexpr auto DISTANCE_FUNCTION_L2 = "L2Distance";
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static constexpr auto DISTANCE_FUNCTION_COSINE = "cosineDistance";
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static constexpr auto DEFAULT_TREES = 100uz;
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static constexpr auto DEFAULT_DISTANCE_FUNCTION = DISTANCE_FUNCTION_L2;
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template <typename Distance>
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AnnoyIndexWithSerialization<Distance>::AnnoyIndexWithSerialization(size_t dimensions)
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@ -224,9 +229,9 @@ bool MergeTreeIndexConditionAnnoy::alwaysUnknownOrTrue() const
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std::vector<size_t> MergeTreeIndexConditionAnnoy::getUsefulRanges(MergeTreeIndexGranulePtr idx_granule) const
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{
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if (distance_function == "L2Distance")
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if (distance_function == DISTANCE_FUNCTION_L2)
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return getUsefulRangesImpl<Annoy::Euclidean>(idx_granule);
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else if (distance_function == "cosineDistance")
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else if (distance_function == DISTANCE_FUNCTION_COSINE)
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return getUsefulRangesImpl<Annoy::Angular>(idx_granule);
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std::unreachable();
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}
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@ -289,9 +294,9 @@ MergeTreeIndexAnnoy::MergeTreeIndexAnnoy(const IndexDescription & index_, UInt64
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MergeTreeIndexGranulePtr MergeTreeIndexAnnoy::createIndexGranule() const
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{
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if (distance_function == "L2Distance")
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if (distance_function == DISTANCE_FUNCTION_L2)
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return std::make_shared<MergeTreeIndexGranuleAnnoy<Annoy::Euclidean>>(index.name, index.sample_block);
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else if (distance_function == "cosineDistance")
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else if (distance_function == DISTANCE_FUNCTION_COSINE)
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return std::make_shared<MergeTreeIndexGranuleAnnoy<Annoy::Angular>>(index.name, index.sample_block);
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std::unreachable();
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}
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@ -299,9 +304,9 @@ MergeTreeIndexGranulePtr MergeTreeIndexAnnoy::createIndexGranule() const
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MergeTreeIndexAggregatorPtr MergeTreeIndexAnnoy::createIndexAggregator() const
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{
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/// TODO: Support more metrics. Available metrics: https://github.com/spotify/annoy/blob/master/src/annoymodule.cc#L151-L171
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if (distance_function == "L2Distance")
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if (distance_function == DISTANCE_FUNCTION_L2)
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return std::make_shared<MergeTreeIndexAggregatorAnnoy<Annoy::Euclidean>>(index.name, index.sample_block, trees);
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else if (distance_function == "cosineDistance")
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else if (distance_function == DISTANCE_FUNCTION_COSINE)
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return std::make_shared<MergeTreeIndexAggregatorAnnoy<Annoy::Angular>>(index.name, index.sample_block, trees);
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std::unreachable();
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}
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@ -313,14 +318,11 @@ MergeTreeIndexConditionPtr MergeTreeIndexAnnoy::createIndexCondition(const Selec
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MergeTreeIndexPtr annoyIndexCreator(const IndexDescription & index)
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{
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static constexpr auto default_trees = 100uz;
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static constexpr auto default_distance_function = "L2Distance";
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String distance_function = default_distance_function;
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String distance_function = DEFAULT_DISTANCE_FUNCTION;
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if (!index.arguments.empty())
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distance_function = index.arguments[0].get<String>();
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UInt64 trees = default_trees;
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UInt64 trees = DEFAULT_TREES;
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if (index.arguments.size() > 1)
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trees = index.arguments[1].get<UInt64>();
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@ -350,8 +352,8 @@ void annoyIndexValidator(const IndexDescription & index, bool /* attach */)
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if (!index.arguments.empty())
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{
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String distance_name = index.arguments[0].get<String>();
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if (distance_name != "L2Distance" && distance_name != "cosineDistance")
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throw Exception(ErrorCodes::INCORRECT_DATA, "Annoy index only supports distance functions 'L2Distance' and 'cosineDistance'");
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if (distance_name != DISTANCE_FUNCTION_L2 && distance_name != DISTANCE_FUNCTION_COSINE)
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throw Exception(ErrorCodes::INCORRECT_DATA, "Annoy index only supports distance functions '{}' and '{}'", DISTANCE_FUNCTION_L2, DISTANCE_FUNCTION_COSINE);
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}
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/// Check data type of indexed column:
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