be/src/exprs/function/functions_comparison.h

Source
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.
// This file is copied from
// https://github.com/ClickHouse/ClickHouse/blob/master/src/Functions/FunctionsComparison.h
// and modified by Doris

#pragma once

#include <limits>
#include <type_traits>

#include "common/logging.h"
#include "core/accurate_comparison.h"
#include "core/assert_cast.h"
#include "core/column/column_const.h"
#include "core/column/column_decimal.h"
#include "core/column/column_nullable.h"
#include "core/column/column_string.h"
#include "core/data_type/data_type_number.h"
#include "core/data_type/data_type_string.h"
#include "core/data_type/define_primitive_type.h"
#include "core/decimal_comparison.h"
#include "core/memcmp_small.h"
#include "core/value/vdatetime_value.h"
#include "exprs/function/function.h"
#include "exprs/function/function_helpers.h"
#include "exprs/function/functions_logical.h"
#include "storage/index/index_reader_helper.h"

namespace doris {

/** Comparison functions: ==, !=, <, >, <=, >=.
  * The comparison functions always return 0 or 1 (UInt8).
  *
  * You can compare the following types:
  * - numbers and decimals;
  * - strings and fixed strings;
  * - dates;
  * - datetimes;
  *   within each group, but not from different groups;
  * - tuples (lexicographic comparison).
  *
  * Exception: You can compare the date and datetime with a constant string. Example: EventDate = '2015-01-01'.
  */

template <typename A, typename B, typename Op>
struct NumComparisonImpl {
    /// If you don't specify NO_INLINE, the compiler will inline this function, but we don't need this as this function contains tight loop inside.
    static void NO_INLINE vector_vector(const PaddedPODArray<A>& a, const PaddedPODArray<B>& b,
                                        PaddedPODArray<UInt8>& c) {
        size_t size = a.size();
        const A* __restrict a_pos = a.data();
        const B* __restrict b_pos = b.data();
        UInt8* __restrict c_pos = c.data();
        const A* __restrict a_end = a_pos + size;

        while (a_pos < a_end) {
            *c_pos = Op::apply(*a_pos, *b_pos);
            ++a_pos;
            ++b_pos;
            ++c_pos;
        }
    }

    static void NO_INLINE vector_constant(const PaddedPODArray<A>& a, B b,
                                          PaddedPODArray<UInt8>& c) {
        size_t size = a.size();
        const A* __restrict a_pos = a.data();
        UInt8* __restrict c_pos = c.data();
        const A* __restrict a_end = a_pos + size;

        while (a_pos < a_end) {
            *c_pos = Op::apply(*a_pos, b);
            ++a_pos;
            ++c_pos;
        }
    }

    static void constant_vector(A a, const PaddedPODArray<B>& b, PaddedPODArray<UInt8>& c) {
        NumComparisonImpl<B, A, typename Op::SymmetricOp>::vector_constant(b, a, c);
    }
};

/// Generic version, implemented for columns of same type.
template <typename Op>
struct GenericComparisonImpl {
    static void vector_vector(const IColumn& a, const IColumn& b, PaddedPODArray<UInt8>& c) {
        for (size_t i = 0, size = a.size(); i < size; ++i) {
            c[i] = Op::apply(a.compare_at(i, i, b, 1), 0);
        }
    }

    static void vector_constant(const IColumn& a, const IColumn& b, PaddedPODArray<UInt8>& c) {
        const auto& col_right = assert_cast<const ColumnConst&>(b).get_data_column();
        for (size_t i = 0, size = a.size(); i < size; ++i) {
            c[i] = Op::apply(a.compare_at(i, 0, col_right, 1), 0);
        }
    }

    static void constant_vector(const IColumn& a, const IColumn& b, PaddedPODArray<UInt8>& c) {
        GenericComparisonImpl<typename Op::SymmetricOp>::vector_constant(b, a, c);
    }
};

template <typename Op>
struct StringComparisonImpl {
    static void NO_INLINE string_vector_string_vector(const ColumnString::Chars& a_data,
                                                      const ColumnString::Offsets& a_offsets,
                                                      const ColumnString::Chars& b_data,
                                                      const ColumnString::Offsets& b_offsets,
                                                      PaddedPODArray<UInt8>& c) {
        size_t size = a_offsets.size();
        ColumnString::Offset prev_a_offset = 0;
        ColumnString::Offset prev_b_offset = 0;
        const auto* a_pos = a_data.data();
        const auto* b_pos = b_data.data();

        for (size_t i = 0; i < size; ++i) {
            c[i] = Op::apply(memcmp_small_allow_overflow15(
                                     a_pos + prev_a_offset, a_offsets[i] - prev_a_offset,
                                     b_pos + prev_b_offset, b_offsets[i] - prev_b_offset),
                             0);

            prev_a_offset = a_offsets[i];
            prev_b_offset = b_offsets[i];
        }
    }

    static void NO_INLINE string_vector_constant(const ColumnString::Chars& a_data,
                                                 const ColumnString::Offsets& a_offsets,
                                                 const ColumnString::Chars& b_data,
                                                 ColumnString::Offset b_size,
                                                 PaddedPODArray<UInt8>& c) {
        size_t size = a_offsets.size();
        ColumnString::Offset prev_a_offset = 0;
        const auto* a_pos = a_data.data();
        const auto* b_pos = b_data.data();

        for (size_t i = 0; i < size; ++i) {
            c[i] = Op::apply(
                    memcmp_small_allow_overflow15(a_pos + prev_a_offset,
                                                  a_offsets[i] - prev_a_offset, b_pos, b_size),
                    0);

            prev_a_offset = a_offsets[i];
        }
    }

    static void constant_string_vector(const ColumnString::Chars& a_data,
                                       ColumnString::Offset a_size,
                                       const ColumnString::Chars& b_data,
                                       const ColumnString::Offsets& b_offsets,
                                       PaddedPODArray<UInt8>& c) {
        StringComparisonImpl<typename Op::SymmetricOp>::string_vector_constant(b_data, b_offsets,
                                                                               a_data, a_size, c);
    }
};

template <bool positive>
struct StringEqualsImpl {
    static void NO_INLINE string_vector_string_vector(const ColumnString::Chars& a_data,
                                                      const ColumnString::Offsets& a_offsets,
                                                      const ColumnString::Chars& b_data,
                                                      const ColumnString::Offsets& b_offsets,
                                                      PaddedPODArray<UInt8>& c) {
        size_t size = a_offsets.size();
        ColumnString::Offset prev_a_offset = 0;
        ColumnString::Offset prev_b_offset = 0;
        const auto* a_pos = a_data.data();
        const auto* b_pos = b_data.data();

        for (size_t i = 0; i < size; ++i) {
            auto a_size = a_offsets[i] - prev_a_offset;
            auto b_size = b_offsets[i] - prev_b_offset;

            c[i] = positive == memequal_small_allow_overflow15(a_pos + prev_a_offset, a_size,
                                                               b_pos + prev_b_offset, b_size);

            prev_a_offset = a_offsets[i];
            prev_b_offset = b_offsets[i];
        }
    }

    static void NO_INLINE string_vector_constant(const ColumnString::Chars& a_data,
                                                 const ColumnString::Offsets& a_offsets,
                                                 const ColumnString::Chars& b_data,
                                                 ColumnString::Offset b_size,
                                                 PaddedPODArray<UInt8>& c) {
        size_t size = a_offsets.size();
        if (b_size == 0) {
            auto* __restrict data = c.data();
            auto* __restrict offsets = a_offsets.data();

            ColumnString::Offset prev_a_offset = 0;
            for (size_t i = 0; i < size; ++i) {
                data[i] = positive ? (offsets[i] == prev_a_offset) : (offsets[i] != prev_a_offset);
                prev_a_offset = offsets[i];
            }
        } else {
            ColumnString::Offset prev_a_offset = 0;
            const auto* a_pos = a_data.data();
            const auto* b_pos = b_data.data();
            for (size_t i = 0; i < size; ++i) {
                auto a_size = a_offsets[i] - prev_a_offset;
                c[i] = positive == memequal_small_allow_overflow15(a_pos + prev_a_offset, a_size,
                                                                   b_pos, b_size);
                prev_a_offset = a_offsets[i];
            }
        }
    }

    static void NO_INLINE constant_string_vector(const ColumnString::Chars& a_data,
                                                 ColumnString::Offset a_size,
                                                 const ColumnString::Chars& b_data,
                                                 const ColumnString::Offsets& b_offsets,
                                                 PaddedPODArray<UInt8>& c) {
        string_vector_constant(b_data, b_offsets, a_data, a_size, c);
    }
};

template <PrimitiveType PT>
struct StringComparisonImpl<EqualsOp<PT>> : StringEqualsImpl<true> {};

template <PrimitiveType PT>
struct StringComparisonImpl<NotEqualsOp<PT>> : StringEqualsImpl<false> {};

struct NameEquals {
    static constexpr auto name = "eq";
};
struct NameNotEquals {
    static constexpr auto name = "ne";
};
struct NameLess {
    static constexpr auto name = "lt";
};
struct NameGreater {
    static constexpr auto name = "gt";
};
struct NameLessOrEquals {
    static constexpr auto name = "le";
};
struct NameGreaterOrEquals {
    static constexpr auto name = "ge";
};

template <template <PrimitiveType> class Op, typename Name>
class FunctionComparison : public IFunction {
public:
    static constexpr auto name = Name::name;
    static FunctionPtr create() { return std::make_shared<FunctionComparison>(); }

    FunctionComparison() = default;

    double execute_cost() const override { return 0.5; }

private:
    template <PrimitiveType PT>
    Status execute_num_type(Block& block, uint32_t result, const ColumnPtr& col_left_ptr,
                            const ColumnPtr& col_right_ptr) const {
        auto [col_left_untype, left_is_const] = unpack_if_const(col_left_ptr);
        auto [col_right_untyped, right_is_const] = unpack_if_const(col_right_ptr);

        const auto* col_left = assert_cast<const ColumnVector<PT>*>(col_left_untype.get());
        const auto* col_right = assert_cast<const ColumnVector<PT>*>(col_right_untyped.get());

        DCHECK(!(left_is_const && right_is_const));

        if (!left_is_const && !right_is_const) {
            auto col_res = ColumnUInt8::create();

            ColumnUInt8::Container& vec_res = col_res->get_data();
            vec_res.resize(col_left->get_data().size());
            NumComparisonImpl<typename PrimitiveTypeTraits<PT>::CppType,
                              typename PrimitiveTypeTraits<PT>::CppType,
                              Op<PT>>::vector_vector(col_left->get_data(), col_right->get_data(),
                                                     vec_res);

            block.replace_by_position(result, std::move(col_res));
        } else if (!left_is_const && right_is_const) {
            auto col_res = ColumnUInt8::create();

            ColumnUInt8::Container& vec_res = col_res->get_data();
            vec_res.resize(col_left->size());
            NumComparisonImpl<typename PrimitiveTypeTraits<PT>::CppType,
                              typename PrimitiveTypeTraits<PT>::CppType,
                              Op<PT>>::vector_constant(col_left->get_data(),
                                                       col_right->get_element(0), vec_res);

            block.replace_by_position(result, std::move(col_res));
        } else if (left_is_const && !right_is_const) {
            auto col_res = ColumnUInt8::create();

            ColumnUInt8::Container& vec_res = col_res->get_data();
            vec_res.resize(col_right->size());
            NumComparisonImpl<typename PrimitiveTypeTraits<PT>::CppType,
                              typename PrimitiveTypeTraits<PT>::CppType,
                              Op<PT>>::constant_vector(col_left->get_element(0),
                                                       col_right->get_data(), vec_res);

            block.replace_by_position(result, std::move(col_res));
        }
        return Status::OK();
    }

    Status execute_decimal(Block& block, uint32_t result, const ColumnWithTypeAndName& col_left,
                           const ColumnWithTypeAndName& col_right) const {
        auto call = [&](const auto& type) -> bool {
            using DispatchType = std::decay_t<decltype(type)>;
            DecimalComparison<DispatchType::PType, DispatchType::PType, Op, false>(
                    block, result, col_left, col_right);
            return true;
        };

        if (col_left.type->get_primitive_type() != col_right.type->get_primitive_type()) {
            return Status::RuntimeError(
                    "type of left column {} is not equal to type of right column {}",
                    col_left.type->get_name(), col_right.type->get_name());
        }

        if (!dispatch_switch_decimal(col_right.type->get_primitive_type(), call)) {
            return Status::RuntimeError("Wrong call for {} with {} and {}", get_name(),
                                        col_left.type->get_name(), col_right.type->get_name());
        }
        return Status::OK();
    }

    Status execute_string(Block& block, uint32_t result, const IColumn* c0,
                          const IColumn* c1) const {
        const ColumnString* c0_string = check_and_get_column<ColumnString>(c0);
        const ColumnString* c1_string = check_and_get_column<ColumnString>(c1);
        const ColumnConst* c0_const = check_and_get_column_const_string_or_fixedstring(c0);
        const ColumnConst* c1_const = check_and_get_column_const_string_or_fixedstring(c1);
        if (!((c0_string || c0_const) && (c1_string || c1_const))) {
            return Status::NotSupported("Illegal columns {}, {} of argument of function {}",
                                        c0->get_name(), c1->get_name(), name);
        }
        DCHECK(!(c0_const && c1_const));
        const ColumnString::Chars* c0_const_chars = nullptr;
        const ColumnString::Chars* c1_const_chars = nullptr;
        ColumnString::Offset c0_const_size = 0;
        ColumnString::Offset c1_const_size = 0;

        if (c0_const) {
            const ColumnString* c0_const_string =
                    check_and_get_column<ColumnString>(&c0_const->get_data_column());

            if (c0_const_string) {
                c0_const_chars = &c0_const_string->get_chars();
                c0_const_size = c0_const_string->get_offsets()[0];
            } else {
                return Status::NotSupported("Illegal columns {}, of argument of function {}",
                                            c0->get_name(), name);
            }
        }

        if (c1_const) {
            const ColumnString* c1_const_string =
                    check_and_get_column<ColumnString>(&c1_const->get_data_column());

            if (c1_const_string) {
                c1_const_chars = &c1_const_string->get_chars();
                c1_const_size = c1_const_string->get_offsets()[0];
            } else {
                return Status::NotSupported("Illegal columns {}, of argument of function {}",
                                            c1->get_name(), name);
            }
        }

        using StringImpl = StringComparisonImpl<Op<TYPE_INT>>;

        auto c_res = ColumnUInt8::create();
        ColumnUInt8::Container& vec_res = c_res->get_data();
        vec_res.resize(c0->size());

        if (c0_string && c1_string) {
            StringImpl::string_vector_string_vector(
                    c0_string->get_chars(), c0_string->get_offsets(), c1_string->get_chars(),
                    c1_string->get_offsets(), vec_res);
        } else if (c0_string && c1_const) {
            StringImpl::string_vector_constant(c0_string->get_chars(), c0_string->get_offsets(),
                                               *c1_const_chars, c1_const_size, vec_res);
        } else if (c0_const && c1_string) {
            StringImpl::constant_string_vector(*c0_const_chars, c0_const_size,
                                               c1_string->get_chars(), c1_string->get_offsets(),
                                               vec_res);
        } else {
            return Status::NotSupported("Illegal columns {}, {} of argument of function {}",
                                        c0->get_name(), c1->get_name(), name);
        }
        block.replace_by_position(result, std::move(c_res));
        return Status::OK();
    }

    void execute_generic_identical_types(Block& block, uint32_t result, const IColumn* c0,
                                         const IColumn* c1) const {
        bool c0_const = is_column_const(*c0);
        bool c1_const = is_column_const(*c1);

        DCHECK(!(c0_const && c1_const));

        auto c_res = ColumnUInt8::create();
        ColumnUInt8::Container& vec_res = c_res->get_data();
        vec_res.resize(c0->size());

        if (c0_const) {
            GenericComparisonImpl<Op<TYPE_INT>>::constant_vector(*c0, *c1, vec_res);
        } else if (c1_const) {
            GenericComparisonImpl<Op<TYPE_INT>>::vector_constant(*c0, *c1, vec_res);
        } else {
            GenericComparisonImpl<Op<TYPE_INT>>::vector_vector(*c0, *c1, vec_res);
        }

        block.replace_by_position(result, std::move(c_res));
    }

    Status execute_generic(Block& block, uint32_t result, const ColumnWithTypeAndName& c0,
                           const ColumnWithTypeAndName& c1) const {
        execute_generic_identical_types(block, result, c0.column.get(), c1.column.get());
        return Status::OK();
    }

public:
    String get_name() const override { return name; }

    size_t get_number_of_arguments() const override { return 2; }

    /// Get result types by argument types. If the function does not apply to these arguments, throw an exception.
    DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
        return std::make_shared<DataTypeUInt8>();
    }

    Status evaluate_inverted_index(
            const ColumnsWithTypeAndName& arguments,
            const std::vector<IndexFieldNameAndTypePair>& data_type_with_names,
            std::vector<segment_v2::IndexIterator*> iterators, uint32_t num_rows,
            const InvertedIndexAnalyzerCtx* analyzer_ctx,
            segment_v2::InvertedIndexResultBitmap& bitmap_result) const override {
        DCHECK(arguments.size() == 1);
        DCHECK(data_type_with_names.size() == 1);
        DCHECK(iterators.size() == 1);
        auto* iter = iterators[0];
        auto data_type_with_name = data_type_with_names[0];
        if (iter == nullptr) {
            return Status::OK();
        }
        if (!segment_v2::IndexReaderHelper::has_string_or_bkd_index(iter)) {
            return Status::OK();
        }
        segment_v2::InvertedIndexQueryType query_type;
        std::string_view name_view(name);
        if (name_view == NameEquals::name || name_view == NameNotEquals::name) {
            query_type = segment_v2::InvertedIndexQueryType::EQUAL_QUERY;
        } else if (name_view == NameLess::name) {
            query_type = segment_v2::InvertedIndexQueryType::LESS_THAN_QUERY;
        } else if (name_view == NameLessOrEquals::name) {
            query_type = segment_v2::InvertedIndexQueryType::LESS_EQUAL_QUERY;
        } else if (name_view == NameGreater::name) {
            query_type = segment_v2::InvertedIndexQueryType::GREATER_THAN_QUERY;
        } else if (name_view == NameGreaterOrEquals::name) {
            query_type = segment_v2::InvertedIndexQueryType::GREATER_EQUAL_QUERY;
        } else {
            return Status::InvalidArgument("invalid comparison op type {}", Name::name);
        }

        if (segment_v2::is_range_query(query_type) &&
            iter->get_reader(segment_v2::InvertedIndexReaderType::STRING_TYPE)) {
            // untokenized strings exceed ignore_above, they are written as null, causing range query errors
            return Status::OK();
        }
        Field param_value;
        arguments[0].column->get(0, param_value);
        if (param_value.is_null()) {
            return Status::OK();
        }
        auto param_type = arguments[0].type->get_primitive_type();
        std::unique_ptr<segment_v2::InvertedIndexQueryParamFactory> query_param = nullptr;
        RETURN_IF_ERROR(segment_v2::InvertedIndexQueryParamFactory::create_query_value(
                param_type, &param_value, query_param));

        segment_v2::InvertedIndexParam param;
        param.column_name = data_type_with_name.first;
        param.column_type = data_type_with_name.second;
        param.query_value = query_param->get_value();
        param.query_type = query_type;
        param.num_rows = num_rows;
        param.roaring = std::make_shared<roaring::Roaring>();
        param.analyzer_ctx = analyzer_ctx;
        RETURN_IF_ERROR(iter->read_from_index(segment_v2::IndexParam {&param}));
        std::shared_ptr<roaring::Roaring> null_bitmap = std::make_shared<roaring::Roaring>();
        if (iter->has_null()) {
            segment_v2::InvertedIndexQueryCacheHandle null_bitmap_cache_handle;
            RETURN_IF_ERROR(iter->read_null_bitmap(&null_bitmap_cache_handle));
            null_bitmap = null_bitmap_cache_handle.get_bitmap();
        }
        segment_v2::InvertedIndexResultBitmap result(param.roaring, null_bitmap);
        bitmap_result = result;
        bitmap_result.mask_out_null();

        if (name_view == NameNotEquals::name) {
            roaring::Roaring full_result;
            full_result.addRange(0, num_rows);
            bitmap_result.op_not(&full_result);
        }

        return Status::OK();
    }

    Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
                        uint32_t result, size_t input_rows_count) const override {
        const auto& col_with_type_and_name_left = block.get_by_position(arguments[0]);
        const auto& col_with_type_and_name_right = block.get_by_position(arguments[1]);

        const auto& col_left_ptr = col_with_type_and_name_left.column;
        const auto& col_right_ptr = col_with_type_and_name_right.column;
        const IColumn* col_left_untyped = col_with_type_and_name_left.column.get();
        const IColumn* col_right_untyped = col_with_type_and_name_right.column.get();

        const DataTypePtr& left_type = col_with_type_and_name_left.type;
        const DataTypePtr& right_type = col_with_type_and_name_right.type;

        /// The case when arguments are the same (tautological comparison). Return constant.
        /// NOTE: Nullable types are special case. (BTW, this function use default implementation for Nullable, so Nullable types cannot be here. Check just in case.)
        /// NOTE: We consider NaN comparison to be implementation specific (and in our implementation NaNs are sometimes equal sometimes not).
        if (left_type->equals(*right_type) && !left_type->is_nullable() &&
            col_left_untyped == col_right_untyped) {
            /// Always true: =, <=, >=
            // TODO: Return const column in the future. But seems so far to do. We need a unified approach for passing const column.
            if constexpr (std::is_same_v<Op<TYPE_INT>, EqualsOp<TYPE_INT>> ||
                          std::is_same_v<Op<TYPE_INT>, LessOrEqualsOp<TYPE_INT>> ||
                          std::is_same_v<Op<TYPE_INT>, GreaterOrEqualsOp<TYPE_INT>>) {
                block.get_by_position(result).column =
                        DataTypeUInt8()
                                .create_column_const(input_rows_count,
                                                     Field::create_field<TYPE_BOOLEAN>(1))
                                ->convert_to_full_column_if_const();
                return Status::OK();
            } else {
                block.get_by_position(result).column =
                        DataTypeUInt8()
                                .create_column_const(input_rows_count,
                                                     Field::create_field<TYPE_BOOLEAN>(0))
                                ->convert_to_full_column_if_const();
                return Status::OK();
            }
        }

        auto can_compare = [](PrimitiveType t) -> bool {
            return is_int_or_bool(t) || is_float_or_double(t) || is_ip(t) || is_date_type(t);
        };

        if (can_compare(left_type->get_primitive_type()) &&
            can_compare(right_type->get_primitive_type())) {
            // check left type equals right type TODO: remove this after FE is aware of scales difference
            if (!left_type->equals_ignore_precision(*right_type)) {
                return Status::RuntimeError("not same type in function {} , left : {} , right : {}",
                                            get_name(), left_type->get_name(),
                                            right_type->get_name());
            }
        }

        auto compare_type = left_type->get_primitive_type();
        switch (compare_type) {
        case TYPE_BOOLEAN:
            return execute_num_type<TYPE_BOOLEAN>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_DATEV2:
            return execute_num_type<TYPE_DATEV2>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_DATETIMEV2:
            return execute_num_type<TYPE_DATETIMEV2>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_TIMESTAMPTZ:
            return execute_num_type<TYPE_TIMESTAMPTZ>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_TINYINT:
            return execute_num_type<TYPE_TINYINT>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_SMALLINT:
            return execute_num_type<TYPE_SMALLINT>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_INT:
            return execute_num_type<TYPE_INT>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_BIGINT:
            return execute_num_type<TYPE_BIGINT>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_LARGEINT:
            return execute_num_type<TYPE_LARGEINT>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_IPV4:
            return execute_num_type<TYPE_IPV4>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_IPV6:
            return execute_num_type<TYPE_IPV6>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_FLOAT:
            return execute_num_type<TYPE_FLOAT>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_DOUBLE:
            return execute_num_type<TYPE_DOUBLE>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_TIMEV2:
            return execute_num_type<TYPE_TIMEV2>(block, result, col_left_ptr, col_right_ptr);
        case TYPE_DECIMALV2:
        case TYPE_DECIMAL32:
        case TYPE_DECIMAL64:
        case TYPE_DECIMAL128I:
        case TYPE_DECIMAL256:
            return execute_decimal(block, result, col_with_type_and_name_left,
                                   col_with_type_and_name_right);
        case TYPE_CHAR:
        case TYPE_VARCHAR:
        case TYPE_STRING:
            return execute_string(block, result, col_left_untyped, col_right_untyped);
        default:
            return execute_generic(block, result, col_with_type_and_name_left,
                                   col_with_type_and_name_right);
        }
        return Status::OK();
    }
};

} // namespace doris

Coverage Report

Created: 2026-04-14 17:06