diff --git a/be/src/vec/CMakeLists.txt b/be/src/vec/CMakeLists.txt
index 752d8b2f314a06..51b8fb32481f3d 100644
--- a/be/src/vec/CMakeLists.txt
+++ b/be/src/vec/CMakeLists.txt
@@ -22,6 +22,7 @@ set(EXECUTABLE_OUTPUT_PATH "${BUILD_DIR}/src/vec")
 set(VEC_FILES
   aggregate_functions/aggregate_function_avg.cpp
   aggregate_functions/aggregate_function_count.cpp
+  aggregate_functions/aggregate_function_distinct.cpp
   aggregate_functions/aggregate_function_sum.cpp
   aggregate_functions/aggregate_function_min_max.cpp
   aggregate_functions/aggregate_function_null.cpp
diff --git a/be/src/vec/aggregate_functions/aggregate_function_distinct.cpp b/be/src/vec/aggregate_functions/aggregate_function_distinct.cpp
new file mode 100644
index 00000000000000..7875b48c09972b
--- /dev/null
+++ b/be/src/vec/aggregate_functions/aggregate_function_distinct.cpp
@@ -0,0 +1,79 @@
+#include "vec/aggregate_functions/aggregate_function_distinct.h"
+
+#include <algorithm>
+
+#include "boost/algorithm/string.hpp"
+#include "vec/aggregate_functions/aggregate_function_combinator.h"
+#include "vec/aggregate_functions/aggregate_function_simple_factory.h"
+#include "vec/aggregate_functions/helpers.h"
+#include "vec/common/typeid_cast.h"
+#include "vec/data_types/data_type_nullable.h"
+// #include "registerAggregateFunctions.h"
+
+namespace doris::vectorized {
+namespace ErrorCodes {
+extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
+}
+
+class AggregateFunctionCombinatorDistinct final : public IAggregateFunctionCombinator {
+public:
+    String getName() const override { return "Distinct"; }
+
+    DataTypes transformArguments(const DataTypes& arguments) const override {
+        if (arguments.empty())
+            throw Exception(
+                    "Incorrect number of arguments for aggregate function with Distinct suffix",
+                    ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
+
+        return arguments;
+    }
+
+    AggregateFunctionPtr transformAggregateFunction(const AggregateFunctionPtr& nested_function,
+                                                    const DataTypes& arguments,
+                                                    const Array& params) const override {
+        AggregateFunctionPtr res;
+        if (arguments.size() == 1) {
+            res.reset(createWithNumericType<AggregateFunctionDistinct,
+                                            AggregateFunctionDistinctSingleNumericData>(
+                    *arguments[0], nested_function, arguments));
+
+            if (res) return res;
+
+            if (arguments[0]->isValueUnambiguouslyRepresentedInContiguousMemoryRegion())
+                return std::make_shared<AggregateFunctionDistinct<
+                        AggregateFunctionDistinctSingleGenericData<true>>>(nested_function,
+                                                                           arguments);
+            else
+                return std::make_shared<AggregateFunctionDistinct<
+                        AggregateFunctionDistinctSingleGenericData<false>>>(nested_function,
+                                                                            arguments);
+        }
+
+        return std::make_shared<
+                AggregateFunctionDistinct<AggregateFunctionDistinctMultipleGenericData>>(
+                nested_function, arguments);
+    }
+};
+
+const std::string DISTINCT_FUNCTION_PREFIX = "multi_distinct_";
+
+void registerAggregateFunctionCombinatorDistinct(AggregateFunctionSimpleFactory& factory) {
+    AggregateFunctionCreator creator = [&](const std::string& name, const DataTypes& types,
+                                           const Array& params) {
+        // 1. we should get not nullable types;
+        DataTypes nested_types(types.size());
+        std::transform(types.begin(), types.end(), nested_types.begin(),
+                       [](const auto& e) { return removeNullable(e); });
+        auto function_combinator = std::make_shared<AggregateFunctionCombinatorDistinct>();
+        auto transformArguments = function_combinator->transformArguments(nested_types);
+        if (!boost::algorithm::starts_with(name, DISTINCT_FUNCTION_PREFIX)) {
+            return AggregateFunctionPtr();
+        }
+        auto nested_function_name = name.substr(DISTINCT_FUNCTION_PREFIX.size());
+        auto nested_function = factory.get(nested_function_name, transformArguments, params);
+        return function_combinator->transformAggregateFunction(nested_function, types, params);
+    };
+    factory.registerDistinctFunctionCombinator(creator, DISTINCT_FUNCTION_PREFIX);
+    // factory.registerCombinator(std::make_shared<AggregateFunctionCombinatorDistinct>());
+}
+} // namespace doris::vectorized
diff --git a/be/src/vec/aggregate_functions/aggregate_function_distinct.h b/be/src/vec/aggregate_functions/aggregate_function_distinct.h
new file mode 100644
index 00000000000000..3648bed0f0ac29
--- /dev/null
+++ b/be/src/vec/aggregate_functions/aggregate_function_distinct.h
@@ -0,0 +1,203 @@
+#pragma once
+
+#include "vec/aggregate_functions/aggregate_function.h"
+#include "vec/aggregate_functions/key_holder_helpers.h"
+
+// #include <Columns/ColumnArray.h>
+// #include <DataTypes/DataTypeArray.h>
+#include "vec/common/aggregation_common.h"
+#include "vec/common/assert_cast.h"
+#include "vec/common/field_visitors.h"
+#include "vec/common/hash_table/hash_set.h"
+#include "vec/common/hash_table/hash_table.h"
+#include "vec/common/sip_hash.h"
+#include "vec/io/io_helper.h"
+
+namespace doris::vectorized {
+
+template <typename T>
+struct AggregateFunctionDistinctSingleNumericData {
+    /// When creating, the hash table must be small.
+    using Set = HashSetWithStackMemory<T, DefaultHash<T>, 4>;
+    using Self = AggregateFunctionDistinctSingleNumericData<T>;
+    Set set;
+
+    void add(const IColumn** columns, size_t /* columns_num */, size_t row_num, Arena*) {
+        const auto& vec = assert_cast<const ColumnVector<T>&>(*columns[0]).getData();
+        set.insert(vec[row_num]);
+    }
+
+    void merge(const Self& rhs, Arena*) { set.merge(rhs.set); }
+
+    void serialize(std::ostream& buf) const { set.write(buf); }
+
+    void deserialize(std::istream& buf, Arena*) { set.read(buf); }
+
+    MutableColumns getArguments(const DataTypes& argument_types) const {
+        MutableColumns argument_columns;
+        argument_columns.emplace_back(argument_types[0]->createColumn());
+        for (const auto& elem : set) argument_columns[0]->insert(elem.getValue());
+
+        return argument_columns;
+    }
+};
+
+struct AggregateFunctionDistinctGenericData {
+    /// When creating, the hash table must be small.
+    using Set = HashSetWithSavedHashWithStackMemory<StringRef, StringRefHash, 4>;
+    using Self = AggregateFunctionDistinctGenericData;
+    Set set;
+
+    void merge(const Self& rhs, Arena* arena) {
+        Set::LookupResult it;
+        bool inserted;
+        for (const auto& elem : rhs.set)
+            set.emplace(ArenaKeyHolder{elem.getValue(), *arena}, it, inserted);
+    }
+
+    void serialize(std::ostream& buf) const {
+        writeVarUInt(set.size(), buf);
+        for (const auto& elem : set) writeStringBinary(elem.getValue(), buf);
+    }
+
+    void deserialize(std::istream& buf, Arena* arena) {
+        size_t size;
+        readVarUInt(size, buf);
+        for (size_t i = 0; i < size; ++i) set.insert(readStringBinaryInto(*arena, buf));
+    }
+};
+
+template <bool is_plain_column>
+struct AggregateFunctionDistinctSingleGenericData : public AggregateFunctionDistinctGenericData {
+    void add(const IColumn** columns, size_t /* columns_num */, size_t row_num, Arena* arena) {
+        Set::LookupResult it;
+        bool inserted;
+        auto key_holder = getKeyHolder<is_plain_column>(*columns[0], row_num, *arena);
+        set.emplace(key_holder, it, inserted);
+    }
+
+    MutableColumns getArguments(const DataTypes& argument_types) const {
+        MutableColumns argument_columns;
+        argument_columns.emplace_back(argument_types[0]->createColumn());
+        for (const auto& elem : set)
+            deserializeAndInsert<is_plain_column>(elem.getValue(), *argument_columns[0]);
+
+        return argument_columns;
+    }
+};
+
+struct AggregateFunctionDistinctMultipleGenericData : public AggregateFunctionDistinctGenericData {
+    void add(const IColumn** columns, size_t columns_num, size_t row_num, Arena* arena) {
+        const char* begin = nullptr;
+        StringRef value(begin, 0);
+        for (size_t i = 0; i < columns_num; ++i) {
+            auto cur_ref = columns[i]->serializeValueIntoArena(row_num, *arena, begin);
+            value.data = cur_ref.data - value.size;
+            value.size += cur_ref.size;
+        }
+
+        Set::LookupResult it;
+        bool inserted;
+        auto key_holder = SerializedKeyHolder{value, *arena};
+        set.emplace(key_holder, it, inserted);
+    }
+
+    MutableColumns getArguments(const DataTypes& argument_types) const {
+        MutableColumns argument_columns(argument_types.size());
+        for (size_t i = 0; i < argument_types.size(); ++i)
+            argument_columns[i] = argument_types[i]->createColumn();
+
+        for (const auto& elem : set) {
+            const char* begin = elem.getValue().data;
+            for (auto& column : argument_columns)
+                begin = column->deserializeAndInsertFromArena(begin);
+        }
+
+        return argument_columns;
+    }
+};
+
+/** Adaptor for aggregate functions.
+  * Adding -Distinct suffix to aggregate function
+**/
+template <typename Data>
+class AggregateFunctionDistinct
+        : public IAggregateFunctionDataHelper<Data, AggregateFunctionDistinct<Data>> {
+private:
+    static constexpr auto prefix_size = sizeof(Data);
+    AggregateFunctionPtr nested_func;
+    size_t arguments_num;
+
+    AggregateDataPtr getNestedPlace(AggregateDataPtr __restrict place) const noexcept {
+        return place + prefix_size;
+    }
+
+    ConstAggregateDataPtr getNestedPlace(ConstAggregateDataPtr __restrict place) const noexcept {
+        return place + prefix_size;
+    }
+
+public:
+    AggregateFunctionDistinct(AggregateFunctionPtr nested_func_, const DataTypes& arguments)
+            : IAggregateFunctionDataHelper<Data, AggregateFunctionDistinct>(
+                      arguments, nested_func_->getParameters()),
+              nested_func(nested_func_),
+              arguments_num(arguments.size()) {}
+
+    void add(AggregateDataPtr __restrict place, const IColumn** columns, size_t row_num,
+             Arena* arena) const override {
+        this->data(place).add(columns, arguments_num, row_num, arena);
+    }
+
+    void merge(AggregateDataPtr __restrict place, ConstAggregateDataPtr rhs,
+               Arena* arena) const override {
+        this->data(place).merge(this->data(rhs), arena);
+    }
+
+    void serialize(ConstAggregateDataPtr place, std::ostream& buf) const override {
+        this->data(place).serialize(buf);
+    }
+
+    void deserialize(AggregateDataPtr place, std::istream& buf, Arena* arena) const override {
+        this->data(place).deserialize(buf, arena);
+    }
+
+    // void insertResultInto(AggregateDataPtr place, IColumn & to, Arena * arena) const override
+    void insertResultInto(ConstAggregateDataPtr targetplace, IColumn& to) const override {
+        auto place = const_cast<AggregateDataPtr>(targetplace);
+        auto arguments = this->data(place).getArguments(this->argument_types);
+        ColumnRawPtrs arguments_raw(arguments.size());
+        for (size_t i = 0; i < arguments.size(); ++i) arguments_raw[i] = arguments[i].get();
+
+        assert(!arguments.empty());
+        // nested_func->addBatchSinglePlace(arguments[0]->size(), getNestedPlace(place), arguments_raw.data(), arena);
+        // nested_func->insertResultInto(getNestedPlace(place), to, arena);
+
+        nested_func->addBatchSinglePlace(arguments[0]->size(), getNestedPlace(place),
+                                         arguments_raw.data(), nullptr);
+        nested_func->insertResultInto(getNestedPlace(place), to);
+    }
+
+    size_t sizeOfData() const override { return prefix_size + nested_func->sizeOfData(); }
+
+    void create(AggregateDataPtr place) const override {
+        new (place) Data;
+        nested_func->create(getNestedPlace(place));
+    }
+
+    void destroy(AggregateDataPtr place) const noexcept override {
+        this->data(place).~Data();
+        nested_func->destroy(getNestedPlace(place));
+    }
+
+    String getName() const override { return nested_func->getName() + "Distinct"; }
+
+    DataTypePtr getReturnType() const override { return nested_func->getReturnType(); }
+
+    bool allocatesMemoryInArena() const override { return true; }
+
+    const char* getHeaderFilePath() const override { return __FILE__; }
+
+    // AggregateFunctionPtr getNestedFunction() const override { return nested_func; }
+};
+
+} // namespace doris::vectorized
diff --git a/be/src/vec/aggregate_functions/aggregate_function_simple_factory.h b/be/src/vec/aggregate_functions/aggregate_function_simple_factory.h
index f408a2a8526ccc..f82a944f0a4833 100644
--- a/be/src/vec/aggregate_functions/aggregate_function_simple_factory.h
+++ b/be/src/vec/aggregate_functions/aggregate_function_simple_factory.h
@@ -36,6 +36,7 @@ void registerAggregateFunctionMinMax(AggregateFunctionSimpleFactory& factory);
 void registerAggregateFunctionAvg(AggregateFunctionSimpleFactory& factory);
 void registerAggregateFunctionCount(AggregateFunctionSimpleFactory& factory);
 void registerAggregateFunctionsUniq(AggregateFunctionSimpleFactory& factory);
+void registerAggregateFunctionCombinatorDistinct(AggregateFunctionSimpleFactory& factory);
 
 using DataTypePtr = std::shared_ptr<const IDataType>;
 using DataTypes = std::vector<DataTypePtr>;
@@ -61,6 +62,19 @@ class AggregateFunctionSimpleFactory {
         }
     }
 
+    void registerDistinctFunctionCombinator(Creator creator, const std::string& prefix) {
+        std::vector<std::string> need_insert;
+        for (auto entity : aggregate_functions) {
+            std::string target_value = prefix + entity.first;
+            if (aggregate_functions[target_value] == nullptr) {
+                need_insert.emplace_back(std::move(target_value));
+            }
+        }
+        for (const auto& function_name : need_insert) {
+            aggregate_functions[function_name] = creator;
+        }
+    }
+
     void registerFunction(const std::string& name, Creator creator, bool nullable = false) {
         if (nullable) {
             nullable_aggregate_functions[name] = creator;
@@ -98,6 +112,7 @@ class AggregateFunctionSimpleFactory {
             registerAggregateFunctionAvg(instance);
             registerAggregateFunctionCount(instance);
             registerAggregateFunctionsUniq(instance);
+            registerAggregateFunctionCombinatorDistinct(instance);
             registerAggregateFunctionCombinatorNull(instance);
         });
         return instance;
diff --git a/be/src/vec/aggregate_functions/helpers.h b/be/src/vec/aggregate_functions/helpers.h
index eb3e4e425b9d5f..744afe8111dca0 100644
--- a/be/src/vec/aggregate_functions/helpers.h
+++ b/be/src/vec/aggregate_functions/helpers.h
@@ -99,6 +99,20 @@ static IAggregateFunction* createWithNumericType(const IDataType& argument_type,
     return nullptr;
 }
 
+template <template <typename> class AggregateFunctionTemplate, template <typename> class Data,
+          typename... TArgs>
+static IAggregateFunction* createWithNumericType(const IDataType& argument_type, TArgs&&... args) {
+    WhichDataType which(argument_type);
+#define DISPATCH(TYPE)                \
+    if (which.idx == TypeIndex::TYPE) \
+        return new AggregateFunctionTemplate<Data<TYPE>>(std::forward<TArgs>(args)...);
+    FOR_NUMERIC_TYPES(DISPATCH)
+#undef DISPATCH
+    // if (which.idx == TypeIndex::Enum8) return new AggregateFunctionTemplate<Data<Int8>>(std::forward<TArgs>(args)...);
+    // if (which.idx == TypeIndex::Enum16) return new AggregateFunctionTemplate<Data<Int16>>(std::forward<TArgs>(args)...);
+    return nullptr;
+}
+
 template <template <typename, typename> class AggregateFunctionTemplate,
           template <typename> class Data, typename... TArgs>
 static IAggregateFunction* createWithUnsignedIntegerType(const IDataType& argument_type,
diff --git a/be/src/vec/aggregate_functions/key_holder_helpers.h b/be/src/vec/aggregate_functions/key_holder_helpers.h
new file mode 100644
index 00000000000000..7616919b03e381
--- /dev/null
+++ b/be/src/vec/aggregate_functions/key_holder_helpers.h
@@ -0,0 +1,28 @@
+#pragma once
+
+#include "vec/columns/column.h"
+#include "vec/common/hash_table/hash_table_key_holder.h"
+
+namespace doris::vectorized {
+
+template <bool is_plain_column = false>
+static auto getKeyHolder(const IColumn& column, size_t row_num, Arena& arena) {
+    if constexpr (is_plain_column) {
+        return ArenaKeyHolder{column.getDataAt(row_num), arena};
+    } else {
+        const char* begin = nullptr;
+        StringRef serialized = column.serializeValueIntoArena(row_num, arena, begin);
+        assert(serialized.data != nullptr);
+        return SerializedKeyHolder{serialized, arena};
+    }
+}
+
+template <bool is_plain_column>
+static void deserializeAndInsert(StringRef str, IColumn& data_to) {
+    if constexpr (is_plain_column)
+        data_to.insertData(str.data, str.size);
+    else
+        data_to.deserializeAndInsertFromArena(str.data);
+}
+
+} // namespace doris::vectorized
diff --git a/be/src/vec/common/hash_table/hash_set.h b/be/src/vec/common/hash_table/hash_set.h
index c1da860d6c3220..d84841e553d918 100644
--- a/be/src/vec/common/hash_table/hash_set.h
+++ b/be/src/vec/common/hash_table/hash_set.h
@@ -93,3 +93,15 @@ template <typename Key, typename Hash = DefaultHash<Key>, typename Grower = Hash
           typename Allocator = HashTableAllocator>
 using HashSetWithSavedHash =
         HashSetTable<Key, HashSetCellWithSavedHash<Key, Hash>, Hash, Grower, Allocator>;
+
+template <typename Key, typename Hash, size_t initial_size_degree>
+using HashSetWithStackMemory =
+        HashSet<Key, Hash, HashTableGrower<initial_size_degree>,
+                HashTableAllocatorWithStackMemory<(1ULL << initial_size_degree) *
+                                                  sizeof(HashTableCell<Key, Hash>)>>;
+
+template <typename Key, typename Hash, size_t initial_size_degree>
+using HashSetWithSavedHashWithStackMemory = HashSetWithSavedHash<
+        Key, Hash, HashTableGrower<initial_size_degree>,
+        HashTableAllocatorWithStackMemory<(1ULL << initial_size_degree) *
+                                          sizeof(HashSetCellWithSavedHash<Key, Hash>)>>;
\ No newline at end of file
diff --git a/be/src/vec/io/io_helper.h b/be/src/vec/io/io_helper.h
index 353f8ed82e40ac..41f293c83932ad 100644
--- a/be/src/vec/io/io_helper.h
+++ b/be/src/vec/io/io_helper.h
@@ -22,6 +22,7 @@
 #include <iostream>
 
 #include "gen_cpp/data.pb.h"
+#include "vec/common/arena.h"
 #include "vec/common/exception.h"
 #include "vec/common/string_ref.h"
 #include "vec/common/uint128.h"
@@ -208,6 +209,16 @@ inline void readStringBinary(std::string& s, std::istream& buf,
     }
 }
 
+inline StringRef readStringBinaryInto(Arena& arena, std::istream& buf) {
+    size_t size = 0;
+    readVarUInt(size, buf);
+
+    char* data = arena.alloc(size);
+    buf.read(data, size);
+
+    return StringRef(data, size);
+}
+
 template <typename Type>
 void readVectorBinary(std::vector<Type>& v, std::istream& buf,
                       size_t MAX_VECTOR_SIZE = DEFAULT_MAX_STRING_SIZE) {