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https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-27 01:51:59 +00:00
Implement functions findClusterIndex and findClusterValue.
This commit is contained in:
parent
f17c3afef7
commit
e30c9242bc
@ -205,6 +205,24 @@ public:
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return *ptr;
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};
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template <typename T> bool tryGet(T & result)
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{
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const Types::Which requested = TypeToEnum<typename std::decay<T>::type>::value;
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if (which != requested)
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return false;
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result = get<T>();
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return true;
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}
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template <typename T> bool tryGet(T & result) const
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{
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const Types::Which requested = TypeToEnum<typename std::decay<T>::type>::value;
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if (which != requested)
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return false;
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result = get<T>();
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return true;
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}
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template <typename T> T & safeGet()
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{
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const Types::Which requested = TypeToEnum<typename std::decay<T>::type>::value;
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13
dbms/src/Functions/FunctionsFindCluster.cpp
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13
dbms/src/Functions/FunctionsFindCluster.cpp
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@ -0,0 +1,13 @@
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#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionsFindCluster.h>
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namespace DB
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{
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void registerFunctionsFindCluster(FunctionFactory & factory)
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{
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factory.registerFunction<FunctionFindClusterIndex>();
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factory.registerFunction<FunctionFindClusterValue>();
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}
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}
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343
dbms/src/Functions/FunctionsFindCluster.h
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343
dbms/src/Functions/FunctionsFindCluster.h
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@ -0,0 +1,343 @@
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#pragma once
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#include <cmath>
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#include <Core/FieldVisitors.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypeString.h>
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#include <DataTypes/DataTypeArray.h>
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#include <Columns/ColumnArray.h>
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#include <Columns/ColumnConst.h>
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#include <Columns/ColumnString.h>
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#include <Columns/ColumnsNumber.h>
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#include <Functions/IFunction.h>
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#include <Common/Arena.h>
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#include <Core/StringRef.h>
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#include <Common/HashTable/HashMap.h>
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#include <DataTypes/EnrichedDataTypePtr.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 BAD_ARGUMENTS;
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}
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enum ClusterOperation
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{
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FindClusterIndex = 0,
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FindCentroidValue = 1
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};
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/// Centroids of the clusters to match, as well as the cluster finding logic.
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///
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/// The centroid values are converted to Float64 for easier coding of
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/// distance calculations.
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///
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/// We assume to have 10th to 100th centroids, usually of type Float64, as a typical use case.
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/// While it is possible to sort centroids and use a modification of a binary search to find the
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/// nearest centroid, we think for arrays of 10th to 100th this might be an overkill.
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///
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/// Also, even though centroids of other types are feasible, this first implementation
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/// lacks support of them for simplicity. Date, DateTime and Strings (eg. with the
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/// Levenshtein distance) could be theoretically supported, as well as custom distance
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/// functions (eg. Hamming distance) using Clickhouse lambdas.
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template<typename CentroidsType>
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class Centroids
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{
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public:
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Centroids() {}
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Centroids(const Centroids & c): centroids(c.centroids) {}
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virtual ~Centroids() {}
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bool fill (const IColumn* centroids_array_untyped)
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{
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const ColumnArray * centroids_array = typeid_cast<const ColumnArray *>(centroids_array_untyped);
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if (centroids_array)
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{
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if (centroids_array->empty())
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throw Exception{"Centroids array must be not empty", ErrorCodes::ILLEGAL_COLUMN};
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for (size_t k = 0; k < centroids_array->size(); k++)
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{
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const Field& tmp_field = (*centroids_array)[k];
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CentroidsType value;
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if (!tmp_field.tryGet(value))
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return false;
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centroids.push_back(Float64(value));
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}
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}
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else
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{
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const ColumnConst<Array> * const_centroids_array = typeid_cast<const ColumnConst<Array> *>(centroids_array_untyped);
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if (!const_centroids_array)
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return false;
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if (const_centroids_array->getData().empty())
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throw Exception{"Centroids array must be not empty", ErrorCodes::ILLEGAL_COLUMN};
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for (size_t k = 0; k < const_centroids_array->getData().size(); ++k)
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{
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const Field& tmp_field = (const_centroids_array->getData())[k];
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CentroidsType value;
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if (!tmp_field.tryGet(value))
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return false;
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centroids.push_back(Float64(value));
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}
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}
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return true;
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}
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template <typename InputType>
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bool findCluster(
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const IColumn* in_untyped,
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IColumn* out_untyped,
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ClusterOperation operation)
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{
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if (operation == ClusterOperation::FindClusterIndex)
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return findClusterTyped<InputType, UInt64>(in_untyped, out_untyped, operation);
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else if (operation == ClusterOperation::FindCentroidValue)
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return findClusterTyped<InputType, CentroidsType>(in_untyped, out_untyped, operation);
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throw Exception{"Unexpected error in findCluster* function", ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
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}
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private:
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std::vector<Float64> centroids;
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// Centroids array has the same size as number of clusters. We expect it
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// to be small, maybe 10s or 100s in most real life situation, so we
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// choose the naive implementation
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size_t find_centroid(CentroidsType x)
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{
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Float64 y = Float64(x);
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// Centroids array has to have at least one element, and if it has only one element,
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// it is also the result of this Function.
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Float64 distance = abs(centroids[0]-y);
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size_t index = 0;
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// Check if we have more clusters and if we have, whether some is closer to src[i]
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for (size_t j = 1; j < centroids.size(); ++j)
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{
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Float64 next_distance = abs(centroids[j]-y);
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if (next_distance < distance)
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{
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distance = next_distance;
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index = j;
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}
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}
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// Index of the closest cluster, or 0 in case of just one cluster
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return index;
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}
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template <typename InputType, typename OutputType>
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bool findClusterTyped(
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const IColumn* in_untyped,
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IColumn* out_untyped,
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ClusterOperation operation)
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{
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ColumnVector<OutputType> * out = typeid_cast<ColumnVector<OutputType> *>(out_untyped);
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if (!out)
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return false;
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PaddedPODArray<OutputType> & dst = out->getData();
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const auto in_vector = typeid_cast<const ColumnVector<InputType> *>(in_untyped);
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if (in_vector)
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{
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const PaddedPODArray<InputType> & src = in_vector->getData();
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if (operation == ClusterOperation::FindClusterIndex)
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for (size_t i = 0; i < src.size(); ++i)
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// Note that array indexes start with 1 in Clickhouse
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dst.push_back(UInt64(find_centroid(CentroidsType(src[i]))+1));
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else if (operation == ClusterOperation::FindCentroidValue)
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for (size_t i = 0; i < src.size(); ++i)
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dst.push_back(centroids[find_centroid(CentroidsType(src[i]))]);
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else
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throw Exception{"Unexpected error in findCluster* function", ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
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return true;
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}
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else
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{
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const auto in_const = typeid_cast<const ColumnConst<InputType> *>(in_untyped);
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if (!in_const)
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return false;
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if (operation == ClusterOperation::FindClusterIndex)
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// Note that array indexes start with 1 in Clickhouse
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dst.push_back(UInt64(find_centroid(CentroidsType(in_const->getData()))+1));
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else if (operation == ClusterOperation::FindCentroidValue)
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dst.push_back(centroids[find_centroid(CentroidsType(in_const->getData()))]);
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else
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throw Exception{"Unexpected error in findCluster* function", ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
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}
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return true;
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}
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};
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/** findClusterIndex(x, centroids_array) - find index of element in centroids_array with the value nearest to x
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* findClusterValue(x, centroids_array) - find value of element in centroids_array with the value nearest to x
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*
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* Types:
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* findClusterIndex(T, Array(T)) -> UInt64
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* findClusterValue(T, Array(T)) -> T
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*
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* T can be any numeric type.
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*
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*/
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class FunctionFindClusterIndex : public IFunction
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{
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public:
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static constexpr auto name = "findClusterIndex";
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionFindClusterIndex>(); }
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String getName() const override
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{
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return FunctionFindClusterIndex::name;
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}
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bool isVariadic() const override { return true; }
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size_t getNumberOfArguments() const override { return 0; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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const auto args_size = arguments.size();
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if (args_size != 2)
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throw Exception{
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"Number of arguments for function " + getName() + " doesn't match: passed " +
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toString(args_size) + ", should be 2",
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ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH};
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const auto type_x = arguments[0];
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if (!type_x->isNumeric())
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throw Exception{"Unsupported type " + type_x->getName()
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+ " of first argument of function " + getName()
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+ ", must be a numeric type.", ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
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const DataTypeArray * type_arr_from = typeid_cast<const DataTypeArray *>(arguments[1].get());
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if (!type_arr_from)
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throw Exception{"Second argument of function " + getName()
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+ ", must be array.", ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
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return std::make_shared<DataTypeUInt64>();
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}
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void executeImpl(Block & block, const ColumnNumbers & arguments, const size_t result) override
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{
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const auto in_untyped = block.safeGetByPosition(arguments[0]).column.get();
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const auto centroids_array_untyped = block.safeGetByPosition(arguments[1]).column.get();
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auto column_result = block.safeGetByPosition(result).type->createColumn();
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auto out_untyped = column_result.get();
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if ( !executeByCentroidsType<UInt8>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<UInt16>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<UInt32>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<UInt64>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<Int8>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<Int16>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<Int32>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<Int64>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<Float32>(in_untyped, out_untyped, centroids_array_untyped)
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&& !executeByCentroidsType<Float64>(in_untyped, out_untyped, centroids_array_untyped)
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)
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{
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throw Exception{
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"Function " + getName() + " expects centroids_array of a numeric type",
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ErrorCodes::ILLEGAL_COLUMN};
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}
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block.safeGetByPosition(result).column = column_result;
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}
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protected:
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virtual ClusterOperation getOperation()
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{
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return ClusterOperation::FindClusterIndex;
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}
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template <typename CentroidsType>
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bool executeByCentroidsType(
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const IColumn* in_untyped,
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IColumn* out_untyped,
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const IColumn* centroids_array_untyped)
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{
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Centroids<typename NearestFieldType<CentroidsType>::Type> centroids;
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if (!centroids.fill(centroids_array_untyped))
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return false;
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if ( !centroids.template findCluster<UInt8>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<UInt16>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<UInt32>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<UInt64>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<Int8>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<Int16>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<Int32>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<Int64>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<Float32>(in_untyped, out_untyped, getOperation())
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&& !centroids.template findCluster<Float64>(in_untyped, out_untyped, getOperation())
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)
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{
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throw Exception{
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"Illegal column " + in_untyped->getName() + " of first argument of function " + getName(),
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ErrorCodes::ILLEGAL_COLUMN};
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}
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return true;
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}
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};
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class FunctionFindClusterValue : public FunctionFindClusterIndex
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{
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public:
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static constexpr auto name = "findClusterValue";
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionFindClusterValue>(); }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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FunctionFindClusterIndex::getReturnTypeImpl(arguments);
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const DataTypeArray * type_arr_from = typeid_cast<const DataTypeArray *>(arguments[1].get());
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return type_arr_from->getNestedType();
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}
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String getName() const override
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{
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return FunctionFindClusterValue::name;
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}
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protected:
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ClusterOperation getOperation() override
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{
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return ClusterOperation::FindCentroidValue;
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}
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};
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}
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@ -38,6 +38,7 @@ void registerFunctionsTransform(FunctionFactory &);
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void registerFunctionsGeo(FunctionFactory &);
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void registerFunctionsCharset(FunctionFactory &);
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void registerFunctionsNull(FunctionFactory &);
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void registerFunctionsFindCluster(FunctionFactory &);
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void registerFunctions()
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@ -71,6 +72,7 @@ void registerFunctions()
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registerFunctionsGeo(factory);
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registerFunctionsCharset(factory);
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registerFunctionsNull(factory);
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registerFunctionsFindCluster(factory);
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}
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}
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