zhiqiang-hhhh commented on code in PR #32746:
URL: https://github.com/apache/doris/pull/32746#discussion_r1546156129

##########
be/src/vec/functions/round.h:
##########
@@ -446,6 +479,179 @@ struct Dispatcher {
             return nullptr;
         }
     }
+
+    // NOTE: This function is only tested for truncate
+    // DO NOT USE THIS METHOD FOR OTHER ROUNDING BASED FUNCTION UNTIL YOU KNOW 
EXACTLY WHAT YOU ARE DOING !!!
+    static ColumnPtr apply_vec_vec(const IColumn* col_general, const IColumn* 
col_scale) {
+        if constexpr (rounding_mode != RoundingMode::Trunc) {
+            throw doris::Exception(ErrorCode::INVALID_ARGUMENT,
+                                   "Using column as scale is only supported 
for function truncate");
+        }
+
+        const ColumnInt32& col_scale_i32 = assert_cast<const 
ColumnInt32&>(*col_scale);
+        const size_t input_row_count = col_scale_i32.size();
+        for (size_t i = 0; i < input_row_count; ++i) {
+            const Int32 scale_arg = col_scale_i32.get_data()[i];
+            if (scale_arg > std::numeric_limits<Int16>::max() ||
+                scale_arg < std::numeric_limits<Int16>::min()) {
+                throw doris::Exception(ErrorCode::OUT_OF_BOUND,
+                                       "Scale argument for function is out of 
bound: {}",
+                                       scale_arg);
+            }
+        }
+
+        if constexpr (IsNumber<T>) {
+            const auto* col = assert_cast<const ColumnVector<T>*>(col_general);
+            auto col_res = ColumnVector<T>::create();
+            typename ColumnVector<T>::Container& vec_res = col_res->get_data();
+            vec_res.resize(input_row_count);
+
+            for (size_t i = 0; i < input_row_count; ++i) {
+                const Int32 scale_arg = col_scale_i32.get_data()[i];
+                if (scale_arg == 0) {
+                    size_t scale = 1;
+                    
FunctionRoundingImpl<ScaleMode::Zero>::apply(col->get_data()[i], scale,
+                                                                 vec_res[i]);
+                } else if (scale_arg > 0) {
+                    size_t scale = int_exp10(scale_arg);
+                    
FunctionRoundingImpl<ScaleMode::Positive>::apply(col->get_data()[i], scale,
+                                                                     
vec_res[i]);
+                } else {
+                    size_t scale = int_exp10(-scale_arg);
+                    
FunctionRoundingImpl<ScaleMode::Negative>::apply(col->get_data()[i], scale,
+                                                                     
vec_res[i]);
+                }
+            }
+            return col_res;
+        } else if constexpr (IsDecimalNumber<T>) {
+            const auto* decimal_col = assert_cast<const 
ColumnDecimal<T>*>(col_general);
+
+            // For truncate, ALWAYS use SAME scale with source Decimal column
+            const Int32 input_scale = decimal_col->get_scale();
+            auto col_res = ColumnDecimal<T>::create(input_row_count, 
input_scale);
+
+            for (size_t i = 0; i < input_row_count; ++i) {
+                DecimalRoundingImpl<T, rounding_mode, 
tie_breaking_mode>::apply(
+                        decimal_col->get_element(i).value, input_scale,
+                        col_res->get_element(i).value, 
col_scale_i32.get_data()[i]);
+            }
+
+            for (size_t i = 0; i < input_row_count; ++i) {
+                // For truncate(ColumnDecimal, ColumnInt32), we should always 
have same scale with source Decimal column
+                // So we need this check to make sure the result have correct 
digits count
+                //
+                // Case 0: scale_arg <= -(integer part digits count)
+                //      do nothing, because result is 0
+                // Case 1: scale_arg <= 0 && scale_arg > -(integer part digits 
count)
+                //      decimal parts has been erased, so add them back by 
multiply 10^(scale_arg)
+                // Case 2: scale_arg > 0 && scale_arg < decimal part digits 
count
+                //      decimal part now has scale_arg digits, so multiply 
10^(input_scale - scal_arg)
+                // Case 3: scale_arg >= input_scale
+                //      do nothing
+                const Int32 scale_arg = col_scale_i32.get_data()[i];
+                if (scale_arg <= 0) {
+                    col_res->get_element(i).value *= int_exp10(input_scale);
+                } else if (scale_arg > 0 && scale_arg < input_scale) {
+                    col_res->get_element(i).value *= int_exp10(input_scale - 
scale_arg);
+                }
+            }
+
+            return col_res;
+        } else {
+            LOG(FATAL) << "__builtin_unreachable";
+            __builtin_unreachable();
+            return nullptr;
+        }
+    }
+
+    // NOTE: This function is only tested for truncate
+    // DO NOT USE THIS METHOD FOR OTHER ROUNDING BASED FUNCTION UNTIL YOU KNOW 
EXACTLY WHAT YOU ARE DOING !!! only test for truncate
+    static ColumnPtr apply_const_vec(const ColumnConst* const_col_general,
+                                     const IColumn* col_scale) {
+        if constexpr (rounding_mode != RoundingMode::Trunc) {
+            throw doris::Exception(ErrorCode::INVALID_ARGUMENT,
+                                   "Using column as scale is only supported 
for function truncate");
+        }
+
+        const ColumnInt32& col_scale_i32 = assert_cast<const 
ColumnInt32&>(*col_scale);
+        const size_t input_rows_count = col_scale->size();
+
+        for (size_t i = 0; i < input_rows_count; ++i) {
+            const Int32 scale_arg = col_scale_i32.get_data()[i];
+
+            if (scale_arg > std::numeric_limits<Int16>::max() ||
+                scale_arg < std::numeric_limits<Int16>::min()) {
+                throw doris::Exception(ErrorCode::OUT_OF_BOUND,

Review Comment:
   make sense



##########
be/src/vec/functions/function_truncate.h:
##########
@@ -0,0 +1,246 @@
+// 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.
+
+#include <cstddef>
+#include <functional>
+#include <type_traits>
+#include <utility>
+
+#include "common/exception.h"
+#include "common/status.h"
+#include "olap/olap_common.h"
+#include "round.h"
+#include "vec/columns/column.h"
+#include "vec/columns/column_const.h"
+#include "vec/columns/column_decimal.h"
+#include "vec/columns/column_vector.h"
+#include "vec/common/assert_cast.h"
+#include "vec/core/call_on_type_index.h"
+#include "vec/core/field.h"
+#include "vec/core/types.h"
+#include "vec/data_types/data_type.h"
+#include "vec/data_types/data_type_decimal.h"
+#include "vec/data_types/data_type_number.h"
+
+namespace doris::vectorized {
+
+struct TruncateFloatOneArgImpl {
+    static constexpr auto name = "truncate";
+    static DataTypes get_variadic_argument_types() { return 
{std::make_shared<DataTypeFloat64>()}; }
+};
+
+struct TruncateFloatTwoArgImpl {
+    static constexpr auto name = "truncate";
+    static DataTypes get_variadic_argument_types() {
+        return {std::make_shared<DataTypeFloat64>(), 
std::make_shared<DataTypeInt32>()};
+    }
+};
+
+struct TruncateDecimalOneArgImpl {
+    static constexpr auto name = "truncate";
+    static DataTypes get_variadic_argument_types() {
+        // All Decimal types are named Decimal, and real scale will be passed 
as type argument for execute function
+        // So we can just register Decimal32 here
+        return {std::make_shared<DataTypeDecimal<Decimal32>>(9, 0)};
+    }
+};
+
+struct TruncateDecimalTwoArgImpl {
+    static constexpr auto name = "truncate";
+    static DataTypes get_variadic_argument_types() {
+        return {std::make_shared<DataTypeDecimal<Decimal32>>(9, 0),
+                std::make_shared<DataTypeInt32>()};
+    }
+};
+
+template <typename Impl>
+class FunctionTruncate : public FunctionRounding<Impl, RoundingMode::Trunc, 
TieBreakingMode::Auto> {
+public:
+    static FunctionPtr create() { return std::make_shared<FunctionTruncate>(); 
}
+
+    ColumnNumbers get_arguments_that_are_always_constant() const override { 
return {}; }
+    // SELECT number, truncate(123.345, 1) FROM number("numbers"="10")
+    // should NOT behave like two column arguments, so we can not use const 
column default implementation
+    bool use_default_implementation_for_constants() const override { return 
false; }
+
+    Status execute_impl(FunctionContext* context, Block& block, const 
ColumnNumbers& arguments,
+                        size_t result, size_t input_rows_count) const override 
{
+        const ColumnWithTypeAndName& column_general = 
block.get_by_position(arguments[0]);
+        ColumnPtr res;
+
+        // potential argument types:
+        // 0. truncate(ColumnConst, ColumnConst)
+        // 1. truncate(Column), truncate(Column, ColumnConst)
+        // 2. truncate(Column, Column)
+        // 3. truncate(ColumnConst, Column)
+
+        if (arguments.size() == 2 && 
is_column_const(*block.get_by_position(arguments[0]).column) &&
+            is_column_const(*block.get_by_position(arguments[1]).column)) {
+            // truncate(ColumnConst, ColumnConst)
+            auto col_general = assert_cast<const 
ColumnConst&>(*column_general.column)
+                                       .get_data_column()

Review Comment:
   make sense



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