Gabriel39 commented on code in PR #13039:
URL: https://github.com/apache/doris/pull/13039#discussion_r984361760


##########
be/src/vec/functions/function_timestamp.cpp:
##########
@@ -33,6 +33,16 @@ namespace doris::vectorized {
 struct StrToDate {
     static constexpr auto name = "str_to_date";
 
+    static bool is_variadic() { return false; }
+
+    static DataTypes get_variadic_argument_types() {

Review Comment:
   Since the function with variadic arguments are less efficient when we search 
it, I think you should keep these functions with no variadic arguments 



##########
be/src/vec/functions/function_timestamp.cpp:
##########
@@ -214,6 +234,90 @@ struct MakeDateImpl {
     }
 };
 
+template <typename DateValueType, typename ArgType>
+struct DateTrunc {
+    static constexpr auto name = "date_trunc";
+
+    static bool is_variadic() { return true; }
+
+    static DataTypes get_variadic_argument_types() {
+        if constexpr (std::is_same_v<DateValueType, VecDateTimeValue>) {
+            return {std::make_shared<DataTypeDateTime>(), 
std::make_shared<DataTypeString>()};
+        } else {
+            return {std::make_shared<DataTypeDateTimeV2>(), 
std::make_shared<DataTypeString>()};
+        }
+    }
+
+    static DataTypePtr get_return_type_impl(const DataTypes& arguments) {
+        if constexpr (std::is_same_v<DateValueType, VecDateTimeValue>) {
+            return make_nullable(std::make_shared<DataTypeDateTime>());
+        } else {
+            return make_nullable(std::make_shared<DataTypeDateTimeV2>());
+        }
+    }
+
+    static Status execute(FunctionContext* context, Block& block, const 
ColumnNumbers& arguments,
+                          size_t result, size_t input_rows_count) {
+        DCHECK_EQ(arguments.size(), 2);
+        ColumnPtr argument_columns[2];
+        auto null_map = ColumnUInt8::create(input_rows_count, 0);
+        argument_columns[0] =
+                
block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();
+        argument_columns[1] =
+                
block.get_by_position(arguments[1]).column->convert_to_full_column_if_const();
+        auto datetime_column = static_cast<const 
ColumnVector<ArgType>*>(argument_columns[0].get());
+        auto str_column = static_cast<const 
ColumnString*>(argument_columns[1].get());
+        auto& rdata = str_column->get_chars();
+        auto& roffsets = str_column->get_offsets();
+
+        ColumnPtr res = nullptr;
+
+        if constexpr (std::is_same_v<DateValueType, VecDateTimeValue>) {
+            res = ColumnVector<Int64>::create();
+            executeImpl(datetime_column->get_data(), rdata, roffsets,
+                        
static_cast<ColumnVector<Int64>*>(res->assume_mutable().get())->get_data(),
+                        null_map->get_data(), input_rows_count);
+        } else {
+            res = ColumnVector<UInt64>::create();
+            executeImpl(datetime_column->get_data(), rdata, roffsets,
+                        
static_cast<ColumnVector<UInt64>*>(res->assume_mutable().get())->get_data(),
+                        null_map->get_data(), input_rows_count);
+        }
+
+        block.get_by_position(result).column =
+                ColumnNullable::create(std::move(res), std::move(null_map));
+        return Status::OK();
+    }
+
+    static void executeImpl(const PaddedPODArray<ArgType>& ldata, const 
ColumnString::Chars& rdata,
+                            const ColumnString::Offsets& roffsets, 
PaddedPODArray<ArgType>& res,
+                            NullMap& null_map, size_t input_rows_count) {
+        res.resize(input_rows_count);
+        for (size_t i = 0; i < input_rows_count; ++i) {
+            auto& dt = (DateValueType&)ldata[i];
+            const char* str_data = reinterpret_cast<const 
char*>(&rdata[roffsets[i - 1]]);
+            if (std::strncmp("year", str_data, 4) == 0) {

Review Comment:
   Could you move this heavy `if-else` out of the for-loop?



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