Compile aggregate functions without key

src/Interpreters/Aggregator.cpp

@@ -781,15 +781,48 @@ void NO_INLINE Aggregator::executeImplBatch(
 }
 
 
+template <bool use_compiled_functions>
 void NO_INLINE Aggregator::executeWithoutKeyImpl(
     AggregatedDataWithoutKey & res,
     size_t rows,
     AggregateFunctionInstruction * aggregate_instructions,
     Arena * arena)
 {
-    /// Adding values
+#if USE_EMBEDDED_COMPILER
-    for (AggregateFunctionInstruction * inst = aggregate_instructions; inst->that; ++inst)
+    if constexpr (use_compiled_functions)
     {
+        std::vector<ColumnData> columns_data;
+
+        for (size_t i = 0; i < aggregate_functions.size(); ++i)
+        {
+            if (!is_aggregate_function_compiled[i])
+                continue;
+
+            AggregateFunctionInstruction * inst = aggregate_instructions + i;
+            size_t arguments_size = inst->that->getArgumentTypes().size();
+
+            for (size_t argument_index = 0; argument_index < arguments_size; ++argument_index)
+            {
+                columns_data.emplace_back(getColumnData(inst->batch_arguments[argument_index]));
+            }
+        }
+
+        auto add_into_aggregate_states_function_single_place = compiled_aggregate_functions_holder->compiled_aggregate_functions.add_into_aggregate_states_function_single_place;
+        add_into_aggregate_states_function_single_place(rows, columns_data.data(), res);
+    }
+#endif
+
+    /// Adding values
+    for (size_t i = 0; i < aggregate_functions.size(); ++i)
+    {
+        AggregateFunctionInstruction * inst = aggregate_instructions + i;
+
+#if USE_EMBEDDED_COMPILER
+        if constexpr (use_compiled_functions)
+            if (is_aggregate_function_compiled[i])
+                continue;
+#endif
+
         if (inst->offsets)
             inst->batch_that->addBatchSinglePlace(
                 inst->offsets[static_cast<ssize_t>(rows - 1)], res + inst->state_offset, inst->batch_arguments, arena);
@@ -930,7 +963,16 @@ bool Aggregator::executeOnBlock(Columns columns, UInt64 num_rows, AggregatedData
     /// For the case when there are no keys (all aggregate into one row).
     if (result.type == AggregatedDataVariants::Type::without_key)
     {
-        executeWithoutKeyImpl(result.without_key, num_rows, aggregate_functions_instructions.data(), result.aggregates_pool);
+#if USE_EMBEDDED_COMPILER
+        if (compiled_aggregate_functions_holder)
+        {
+            executeWithoutKeyImpl<true>(result.without_key, num_rows, aggregate_functions_instructions.data(), result.aggregates_pool);
+        }
+        else
+#endif
+        {
+            executeWithoutKeyImpl<false>(result.without_key, num_rows, aggregate_functions_instructions.data(), result.aggregates_pool);
+        }
     }
     else
     {

src/Interpreters/Aggregator.h

@@ -1121,7 +1121,7 @@ private:
         AggregateDataPtr overflow_row) const;
 
     /// Specialization for a particular value no_more_keys.
-    template <bool no_more_keys, bool use_compiled_expressions, typename Method>
+    template <bool no_more_keys, bool use_compiled_functions, typename Method>
     void executeImplBatch(
         Method & method,
         typename Method::State & state,
@@ -1131,7 +1131,8 @@ private:
         AggregateDataPtr overflow_row) const;
 
     /// For case when there are no keys (all aggregate into one row).
-    static void executeWithoutKeyImpl(
+    template <bool use_compiled_functions>
+    void executeWithoutKeyImpl(
         AggregatedDataWithoutKey & res,
         size_t rows,
         AggregateFunctionInstruction * aggregate_instructions,

src/Interpreters/JIT/compileFunction.cpp

@@ -436,6 +436,133 @@ static void compileAddIntoAggregateStatesFunctions(llvm::Module & module, const
     b.CreateRetVoid();
 }
 
+static void compileAddIntoAggregateStatesFunctionsSinglePlace(llvm::Module & module, const std::vector<AggregateFunctionWithOffset> & functions, const std::string & name)
+{
+    auto & context = module.getContext();
+    llvm::IRBuilder<> b(context);
+
+    auto * size_type = b.getIntNTy(sizeof(size_t) * 8);
+    auto * places_type = b.getInt8Ty()->getPointerTo();
+    auto * column_data_type = llvm::StructType::get(b.getInt8PtrTy(), b.getInt8PtrTy());
+
+    auto * aggregate_loop_func_declaration = llvm::FunctionType::get(b.getVoidTy(), { size_type, column_data_type->getPointerTo(), places_type }, false);
+    auto * aggregate_loop_func_definition = llvm::Function::Create(aggregate_loop_func_declaration, llvm::Function::ExternalLinkage, name, module);
+
+    auto * arguments = aggregate_loop_func_definition->args().begin();
+    llvm::Value * rows_count_arg = arguments++;
+    llvm::Value * columns_arg = arguments++;
+    llvm::Value * place_arg = arguments++;
+
+    /// Initialize ColumnDataPlaceholder llvm representation of ColumnData
+
+    auto * entry = llvm::BasicBlock::Create(b.getContext(), "entry", aggregate_loop_func_definition);
+    b.SetInsertPoint(entry);
+
+    std::vector<ColumnDataPlaceholder> columns;
+    size_t previous_columns_size = 0;
+
+    for (const auto & function : functions)
+    {
+        auto argument_types = function.function->getArgumentTypes();
+
+        ColumnDataPlaceholder data_placeholder;
+
+        size_t function_arguments_size = argument_types.size();
+
+        for (size_t column_argument_index = 0; column_argument_index < function_arguments_size; ++column_argument_index)
+        {
+            const auto & argument_type = argument_types[column_argument_index];
+            auto * data = b.CreateLoad(column_data_type, b.CreateConstInBoundsGEP1_64(column_data_type, columns_arg, previous_columns_size + column_argument_index));
+            data_placeholder.data_init = b.CreatePointerCast(b.CreateExtractValue(data, {0}), toNativeType(b, removeNullable(argument_type))->getPointerTo());
+            data_placeholder.null_init = argument_type->isNullable() ? b.CreateExtractValue(data, {1}) : nullptr;
+            columns.emplace_back(data_placeholder);
+        }
+
+        previous_columns_size += function_arguments_size;
+    }
+
+    /// Initialize loop
+
+    auto * end = llvm::BasicBlock::Create(b.getContext(), "end", aggregate_loop_func_definition);
+    auto * loop = llvm::BasicBlock::Create(b.getContext(), "loop", aggregate_loop_func_definition);
+
+    b.CreateCondBr(b.CreateICmpEQ(rows_count_arg, llvm::ConstantInt::get(size_type, 0)), end, loop);
+
+    b.SetInsertPoint(loop);
+
+    auto * counter_phi = b.CreatePHI(rows_count_arg->getType(), 2);
+    counter_phi->addIncoming(llvm::ConstantInt::get(size_type, 0), entry);
+
+    for (auto & col : columns)
+    {
+        col.data = b.CreatePHI(col.data_init->getType(), 2);
+        col.data->addIncoming(col.data_init, entry);
+
+        if (col.null_init)
+        {
+            col.null = b.CreatePHI(col.null_init->getType(), 2);
+            col.null->addIncoming(col.null_init, entry);
+        }
+    }
+
+    previous_columns_size = 0;
+    for (const auto & function : functions)
+    {
+        size_t aggregate_function_offset = function.aggregate_data_offset;
+        const auto * aggregate_function_ptr = function.function;
+
+        auto arguments_types = function.function->getArgumentTypes();
+        std::vector<llvm::Value *> arguments_values;
+
+        size_t function_arguments_size = arguments_types.size();
+        arguments_values.resize(function_arguments_size);
+
+        for (size_t column_argument_index = 0; column_argument_index < function_arguments_size; ++column_argument_index)
+        {
+            auto * column_argument_data = columns[previous_columns_size + column_argument_index].data;
+            auto * column_argument_null_data = columns[previous_columns_size + column_argument_index].null;
+
+            auto & argument_type = arguments_types[column_argument_index];
+
+            auto * value = b.CreateLoad(toNativeType(b, removeNullable(argument_type)), column_argument_data);
+            if (!argument_type->isNullable())
+            {
+                arguments_values[column_argument_index] = value;
+                continue;
+            }
+
+            auto * is_null = b.CreateICmpNE(b.CreateLoad(b.getInt8Ty(), column_argument_null_data), b.getInt8(0));
+            auto * nullable_unitilized = llvm::Constant::getNullValue(toNativeType(b, argument_type));
+            auto * nullable_value = b.CreateInsertValue(b.CreateInsertValue(nullable_unitilized, value, {0}), is_null, {1});
+            arguments_values[column_argument_index] = nullable_value;
+        }
+
+        auto * aggregation_place_with_offset = b.CreateConstInBoundsGEP1_64(nullptr, place_arg, aggregate_function_offset);
+        aggregate_function_ptr->compileAdd(b, aggregation_place_with_offset, arguments_types, arguments_values);
+
+        previous_columns_size += function_arguments_size;
+    }
+
+    /// End of loop
+
+    auto * cur_block = b.GetInsertBlock();
+    for (auto & col : columns)
+    {
+        col.data->addIncoming(b.CreateConstInBoundsGEP1_64(nullptr, col.data, 1), cur_block);
+
+        if (col.null)
+            col.null->addIncoming(b.CreateConstInBoundsGEP1_64(nullptr, col.null, 1), cur_block);
+    }
+
+    auto * value = b.CreateAdd(counter_phi, llvm::ConstantInt::get(size_type, 1));
+    counter_phi->addIncoming(value, cur_block);
+
+    b.CreateCondBr(b.CreateICmpEQ(value, rows_count_arg), end, loop);
+
+    b.SetInsertPoint(end);
+    b.CreateRetVoid();
+}
+
 static void compileMergeAggregatesStates(llvm::Module & module, const std::vector<AggregateFunctionWithOffset> & functions, const std::string & name)
 {
     auto & context = module.getContext();
@@ -569,6 +696,7 @@ CompiledAggregateFunctions compileAggregateFunctions(CHJIT & jit, const std::vec
 
     std::string create_aggregate_states_functions_name = functions_dump_name + "_create";
     std::string add_aggregate_states_functions_name = functions_dump_name + "_add";
+    std::string add_aggregate_states_functions_name_single_place = functions_dump_name + "_add_single_place";
     std::string merge_aggregate_states_functions_name = functions_dump_name + "_merge";
     std::string insert_aggregate_states_functions_name = functions_dump_name + "_insert";
 
@@ -576,17 +704,20 @@ CompiledAggregateFunctions compileAggregateFunctions(CHJIT & jit, const std::vec
     {
         compileCreateAggregateStatesFunctions(module, functions, create_aggregate_states_functions_name);
         compileAddIntoAggregateStatesFunctions(module, functions, add_aggregate_states_functions_name);
+        compileAddIntoAggregateStatesFunctionsSinglePlace(module, functions, add_aggregate_states_functions_name_single_place);
         compileMergeAggregatesStates(module, functions, merge_aggregate_states_functions_name);
         compileInsertAggregatesIntoResultColumns(module, functions, insert_aggregate_states_functions_name);
     });
 
     auto create_aggregate_states_function = reinterpret_cast<JITCreateAggregateStatesFunction>(compiled_module.function_name_to_symbol[create_aggregate_states_functions_name]);
     auto add_into_aggregate_states_function = reinterpret_cast<JITAddIntoAggregateStatesFunction>(compiled_module.function_name_to_symbol[add_aggregate_states_functions_name]);
+    auto add_into_aggregate_states_function_single_place = reinterpret_cast<JITAddIntoAggregateStatesFunctionSinglePlace>(compiled_module.function_name_to_symbol[add_aggregate_states_functions_name_single_place]);
     auto merge_aggregate_states_function = reinterpret_cast<JITMergeAggregateStatesFunction>(compiled_module.function_name_to_symbol[merge_aggregate_states_functions_name]);
     auto insert_aggregate_states_function = reinterpret_cast<JITInsertAggregateStatesIntoColumnsFunction>(compiled_module.function_name_to_symbol[insert_aggregate_states_functions_name]);
 
     assert(create_aggregate_states_function);
     assert(add_into_aggregate_states_function);
+    assert(add_into_aggregate_states_function_single_place);
     assert(merge_aggregate_states_function);
     assert(insert_aggregate_states_function);
 
@@ -598,6 +729,7 @@ CompiledAggregateFunctions compileAggregateFunctions(CHJIT & jit, const std::vec
     {
         .create_aggregate_states_function = create_aggregate_states_function,
         .add_into_aggregate_states_function = add_into_aggregate_states_function,
+        .add_into_aggregate_states_function_single_place = add_into_aggregate_states_function_single_place,
         .merge_aggregate_states_function = merge_aggregate_states_function,
         .insert_aggregates_into_columns_function = insert_aggregate_states_function,
 

src/Interpreters/JIT/compileFunction.h

@@ -54,6 +54,7 @@ struct AggregateFunctionWithOffset
 
 using JITCreateAggregateStatesFunction = void (*)(AggregateDataPtr);
 using JITAddIntoAggregateStatesFunction = void (*)(ColumnDataRowsSize, ColumnData *, AggregateDataPtr *);
+using JITAddIntoAggregateStatesFunctionSinglePlace = void (*)(ColumnDataRowsSize, ColumnData *, AggregateDataPtr);
 using JITMergeAggregateStatesFunction = void (*)(AggregateDataPtr, AggregateDataPtr);
 using JITInsertAggregateStatesIntoColumnsFunction = void (*)(ColumnDataRowsSize, ColumnData *, AggregateDataPtr *);
 
@@ -61,6 +62,8 @@ struct CompiledAggregateFunctions
 {
     JITCreateAggregateStatesFunction create_aggregate_states_function;
     JITAddIntoAggregateStatesFunction add_into_aggregate_states_function;
+    JITAddIntoAggregateStatesFunctionSinglePlace add_into_aggregate_states_function_single_place;
+
     JITMergeAggregateStatesFunction merge_aggregate_states_function;
     JITInsertAggregateStatesIntoColumnsFunction insert_aggregates_into_columns_function;
 
@@ -75,6 +78,7 @@ struct CompiledAggregateFunctions
   *
   * JITCreateAggregateStatesFunction will initialize aggregate data ptr with initial aggregate states values.
   * JITAddIntoAggregateStatesFunction will update aggregate states for aggregate functions with specified ColumnData.
+  * JITAddIntoAggregateStatesFunctionSinglePlace will update single aggregate state for aggregate functions with specified ColumnData.
   * JITMergeAggregateStatesFunction will merge aggregate states for aggregate functions.
   * JITInsertAggregateStatesIntoColumnsFunction will insert aggregate states for aggregate functions into result columns.
   */

tests/performance/jit_aggregate_functions.xml

@@ -150,6 +150,44 @@
         FORMAT Null
     </query>
 
+    <query>
+        SELECT
+            {function}(value_1),
+            {function}(value_2),
+            {function}(value_3)
+        FROM {table}
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}(value_1),
+            {function}(value_2),
+            sum(toUInt256(value_3)),
+            {function}(value_3)
+        FROM {table}
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}If(value_1, predicate),
+            {function}If(value_2, predicate),
+            {function}If(value_3, predicate)
+        FROM {table}
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}If(value_1, predicate),
+            {function}If(value_2, predicate),
+            sumIf(toUInt256(value_3), predicate),
+            {function}If(value_3, predicate)
+        FROM {table}
+        FORMAT Null
+    </query>
+
     <query>
         SELECT
             {function}(value_1),
@@ -200,6 +238,51 @@
         FORMAT Null
     </query>
 
+    <query>
+        SELECT
+            {function}(value_1),
+            {function}(value_2),
+            {function}(value_3),
+            {function}(value_4),
+            {function}(value_5)
+        FROM {table}
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}(value_1),
+            {function}(value_2),
+            sum(toUInt256(value_3)),
+            {function}(value_3),
+            {function}(value_4),
+            {function}(value_5)
+        FROM {table}
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}If(value_1, predicate),
+            {function}If(value_2, predicate),
+            {function}If(value_3, predicate),
+            {function}If(value_4, predicate),
+            {function}If(value_5, predicate)
+        FROM {table}
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}If(value_1, predicate),
+            {function}If(value_2, predicate),
+            sumIf(toUInt256(value_3), predicate),
+            {function}If(value_3, predicate),
+            {function}If(value_4, predicate),
+            {function}If(value_5, predicate)
+        FROM {table}
+        FORMAT Null
+    </query>
 
     <query>
         SELECT
@@ -247,6 +330,48 @@
         FORMAT Null
     </query>
 
+    <query>
+        SELECT
+            {function}(WatchID),
+            {function}(CounterID),
+            {function}(ClientIP)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}(WatchID),
+            {function}(CounterID),
+            sum(toUInt256(ClientIP)),
+            {function}(ClientIP)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}(WatchID),
+            {function}(CounterID),
+            {function}(ClientIP),
+            {function}(IPNetworkID),
+            {function}(SearchEngineID)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
+    <query>
+        SELECT
+            {function}(WatchID),
+            {function}(CounterID),
+            sum(toUInt256(ClientIP)),
+            {function}(ClientIP),
+            {function}(IPNetworkID),
+            {function}(SearchEngineID)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
     <query>
         WITH (WatchID % 2 == 0) AS predicate
         SELECT
@@ -297,5 +422,51 @@
         FORMAT Null
     </query>
 
+    <query>
+        WITH (WatchID % 2 == 0) AS predicate
+        SELECT
+            {function}If(WatchID, predicate),
+            {function}If(CounterID, predicate),
+            {function}If(ClientIP, predicate)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
+    <query>
+        WITH (WatchID % 2 == 0) AS predicate
+        SELECT
+            {function}If(WatchID, predicate),
+            {function}If(CounterID, predicate),
+            sumIf(toUInt256(ClientIP), predicate),
+            {function}If(ClientIP, predicate)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
+    <query>
+        WITH (WatchID % 2 == 0) AS predicate
+        SELECT
+            {function}If(WatchID, predicate),
+            {function}If(CounterID, predicate),
+            {function}If(ClientIP, predicate),
+            {function}If(IPNetworkID, predicate),
+            {function}If(SearchEngineID, predicate)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
+    <query>
+        WITH (WatchID % 2 == 0) AS predicate
+        SELECT
+            {function}If(WatchID, predicate),
+            {function}If(CounterID, predicate),
+            sumIf(toUInt256(ClientIP), predicate),
+            {function}If(ClientIP, predicate),
+            {function}If(IPNetworkID, predicate),
+            {function}If(SearchEngineID, predicate)
+        FROM hits_100m_single
+        FORMAT Null
+    </query>
+
     <drop_query>DROP TABLE IF EXISTS {table}</drop_query>
 </test>

tests/queries/1_stateful/00165_jit_aggregate_functions.reference

@@ -62,6 +62,12 @@ Simple functions if combinator
 11482817	4611990575414646848	9223302669582414438	9828522700609834800	378121905921203.2	34845264.2080656	25993	9223372036854775806	4611686018427387904	4689180182672571856
 63469	4612175339998036670	9222961628400798084	17239621485933250238	663164390134376.5	7825349797.6059	25996	9223372036854775806	4611686018427387904	2067736879306995526
 29103473	4611744585914335132	9223035551850347954	12590190375872647672	525927999326314.7	26049107.15514301	23939	9223372036854775806	4611686018427387904	8318055464870862444
+Simple functions without key
+4611686725751467379	9223371678237104442	3626326766789368100	408650940859.2896	104735.01095549858	8873898	9223372036854775807	4611686018427387904	3818489297630359920
+Simple functions with non compilable function without key
+4611686725751467379	9223371678237104442	3626326766789368100	61384643584599682996279588	408650940859.2896	104735.01095549858	8873898	9223372036854775807	4611686018427387904	3818489297630359920
+Simple functions if combinator without key
+4611687533683519016	9223371678237104442	4124667747700004330	930178817930.5122	321189.2280948817	4434274	9223372036854775806	4611686018427387904	2265422677606390266
 Aggregation without JIT compilation
 Simple functions
 1704509	4611700827100483880	9223360787015464643	10441337359398154812	19954243669348.844	9648741.579254271	523264	9223372036854775807	4611686018427387904	4544239379628300646
@@ -126,3 +132,9 @@ Simple functions if combinator
 11482817	4611990575414646848	9223302669582414438	9828522700609834800	378121905921203.2	34845264.2080656	25993	9223372036854775806	4611686018427387904	4689180182672571856
 63469	4612175339998036670	9222961628400798084	17239621485933250238	663164390134376.5	7825349797.6059	25996	9223372036854775806	4611686018427387904	2067736879306995526
 29103473	4611744585914335132	9223035551850347954	12590190375872647672	525927999326314.7	26049107.15514301	23939	9223372036854775806	4611686018427387904	8318055464870862444
+Simple functions without key
+4611686725751467379	9223371678237104442	3626326766789368100	408650940859.2896	104735.01095549858	8873898	9223372036854775807	4611686018427387904	3818489297630359920
+Simple functions with non compilable function without key
+4611686725751467379	9223371678237104442	3626326766789368100	61384643584599682996279588	408650940859.2896	104735.01095549858	8873898	9223372036854775807	4611686018427387904	3818489297630359920
+Simple functions if combinator without key
+4611687533683519016	9223371678237104442	4124667747700004330	930178817930.5122	321189.2280948817	4434274	9223372036854775806	4611686018427387904	2265422677606390266

tests/queries/1_stateful/00165_jit_aggregate_functions.sql

@@ -53,6 +53,54 @@ SELECT
 FROM test.hits
 GROUP BY CounterID ORDER BY count() DESC LIMIT 20;
 
+SELECT 'Simple functions without key';
+
+SELECT
+    min(WatchID) AS min_watch_id,
+    max(WatchID),
+    sum(WatchID),
+    avg(WatchID),
+    avgWeighted(WatchID, CounterID),
+    count(WatchID),
+    groupBitOr(WatchID),
+    groupBitAnd(WatchID),
+    groupBitXor(WatchID)
+FROM test.hits
+ORDER BY min_watch_id DESC LIMIT 20;
+
+SELECT 'Simple functions with non compilable function without key';
+
+SELECT
+    min(WatchID) AS min_watch_id,
+    max(WatchID),
+    sum(WatchID),
+    sum(toUInt128(WatchID)),
+    avg(WatchID),
+    avgWeighted(WatchID, CounterID),
+    count(WatchID),
+    groupBitOr(WatchID),
+    groupBitAnd(WatchID),
+    groupBitXor(WatchID)
+FROM test.hits
+ORDER BY min_watch_id DESC LIMIT 20;
+
+SELECT 'Simple functions if combinator without key';
+
+WITH (WatchID % 2 == 0) AS predicate
+SELECT
+    minIf(WatchID, predicate) as min_watch_id,
+    maxIf(WatchID, predicate),
+    sumIf(WatchID, predicate),
+    avgIf(WatchID, predicate),
+    avgWeightedIf(WatchID, CounterID, predicate),
+    countIf(WatchID, predicate),
+    groupBitOrIf(WatchID, predicate),
+    groupBitAndIf(WatchID, predicate),
+    groupBitXorIf(WatchID, predicate)
+FROM test.hits
+ORDER BY min_watch_id
+DESC LIMIT 20;
+
 SET compile_aggregate_expressions = 0;
 
 SELECT 'Aggregation without JIT compilation';
@@ -105,3 +153,51 @@ SELECT
     groupBitXorIf(WatchID, predicate)
 FROM test.hits
 GROUP BY CounterID ORDER BY count() DESC LIMIT 20;
+
+SELECT 'Simple functions without key';
+
+SELECT
+    min(WatchID) AS min_watch_id,
+    max(WatchID),
+    sum(WatchID),
+    avg(WatchID),
+    avgWeighted(WatchID, CounterID),
+    count(WatchID),
+    groupBitOr(WatchID),
+    groupBitAnd(WatchID),
+    groupBitXor(WatchID)
+FROM test.hits
+ORDER BY min_watch_id DESC LIMIT 20;
+
+SELECT 'Simple functions with non compilable function without key';
+
+SELECT
+    min(WatchID) AS min_watch_id,
+    max(WatchID),
+    sum(WatchID),
+    sum(toUInt128(WatchID)),
+    avg(WatchID),
+    avgWeighted(WatchID, CounterID),
+    count(WatchID),
+    groupBitOr(WatchID),
+    groupBitAnd(WatchID),
+    groupBitXor(WatchID)
+FROM test.hits
+ORDER BY min_watch_id DESC LIMIT 20;
+
+SELECT 'Simple functions if combinator without key';
+
+WITH (WatchID % 2 == 0) AS predicate
+SELECT
+    minIf(WatchID, predicate) as min_watch_id,
+    maxIf(WatchID, predicate),
+    sumIf(WatchID, predicate),
+    avgIf(WatchID, predicate),
+    avgWeightedIf(WatchID, CounterID, predicate),
+    countIf(WatchID, predicate),
+    groupBitOrIf(WatchID, predicate),
+    groupBitAndIf(WatchID, predicate),
+    groupBitXorIf(WatchID, predicate)
+FROM test.hits
+ORDER BY min_watch_id
+DESC LIMIT 20;