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70d1adfe4b
* save format string for NetException * format exceptions * format exceptions 2 * format exceptions 3 * format exceptions 4 * format exceptions 5 * format exceptions 6 * fix * format exceptions 7 * format exceptions 8 * Update MergeTreeIndexGin.cpp * Update AggregateFunctionMap.cpp * Update AggregateFunctionMap.cpp * fix
125 lines
4.4 KiB
C++
125 lines
4.4 KiB
C++
#pragma once
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#include <Columns/ColumnString.h>
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#include <Columns/ColumnVector.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <Functions/FunctionHelpers.h>
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#include <Functions/IFunction.h>
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#include <Interpreters/Context_fwd.h>
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#include <Functions/FunctionFactory.h>
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#include <Interpreters/Context.h>
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namespace DB
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{
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/// Functions for text classification with different result types
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namespace ErrorCodes
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{
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int ILLEGAL_COLUMN;
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extern const int SUPPORT_IS_DISABLED;
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}
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template <typename Impl, typename Name>
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class FunctionTextClassificationString : public IFunction
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{
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public:
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static constexpr auto name = Name::name;
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static FunctionPtr create(ContextPtr context)
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{
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if (!context->getSettingsRef().allow_experimental_nlp_functions)
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throw Exception(ErrorCodes::SUPPORT_IS_DISABLED,
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"Natural language processing function '{}' is experimental. "
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"Set `allow_experimental_nlp_functions` setting to enable it", name);
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return std::make_shared<FunctionTextClassificationString>();
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}
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 1; }
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bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
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bool useDefaultImplementationForConstants() const override { return true; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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if (!isString(arguments[0]))
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
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"Illegal type {} of argument of function {}. Must be String.",
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arguments[0]->getName(), getName());
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return arguments[0];
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}
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & /*result_type*/, size_t /*input_rows_count*/) const override
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{
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const ColumnPtr & column = arguments[0].column;
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const ColumnString * col = checkAndGetColumn<ColumnString>(column.get());
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if (!col)
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throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of argument of function {}",
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arguments[0].column->getName(), getName());
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auto col_res = ColumnString::create();
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Impl::vector(col->getChars(), col->getOffsets(), col_res->getChars(), col_res->getOffsets());
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return col_res;
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}
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};
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template <typename Impl, typename Name>
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class FunctionTextClassificationFloat : public IFunction
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{
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public:
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static constexpr auto name = Name::name;
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static FunctionPtr create(ContextPtr context)
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{
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if (!context->getSettingsRef().allow_experimental_nlp_functions)
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throw Exception(ErrorCodes::SUPPORT_IS_DISABLED,
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"Natural language processing function '{}' is experimental. "
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"Set `allow_experimental_nlp_functions` setting to enable it", name);
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return std::make_shared<FunctionTextClassificationFloat>();
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}
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 1; }
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bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
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bool useDefaultImplementationForConstants() const override { return true; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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if (!isString(arguments[0]))
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
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"Illegal type {} of argument of function {}. Must be String.",
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arguments[0]->getName(), getName());
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return std::make_shared<DataTypeFloat32>();
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}
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & /*result_type*/, size_t /*input_rows_count*/) const override
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{
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const ColumnPtr & column = arguments[0].column;
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const ColumnString * col = checkAndGetColumn<ColumnString>(column.get());
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if (!col)
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throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of argument of function {}",
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arguments[0].column->getName(), getName());
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auto col_res = ColumnVector<Float32>::create();
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ColumnVector<Float32>::Container & vec_res = col_res->getData();
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vec_res.resize(col->size());
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Impl::vector(col->getChars(), col->getOffsets(), vec_res);
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return col_res;
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}
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};
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}
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