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Compile aggregate functions without key
This commit is contained in:
parent
4862e9f80d
commit
3a6b37691a
@ -781,15 +781,48 @@ void NO_INLINE Aggregator::executeImplBatch(
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}
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template <bool use_compiled_functions>
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void NO_INLINE Aggregator::executeWithoutKeyImpl(
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AggregatedDataWithoutKey & res,
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size_t rows,
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AggregateFunctionInstruction * aggregate_instructions,
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Arena * arena)
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{
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/// Adding values
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for (AggregateFunctionInstruction * inst = aggregate_instructions; inst->that; ++inst)
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#if USE_EMBEDDED_COMPILER
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if constexpr (use_compiled_functions)
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{
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std::vector<ColumnData> columns_data;
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for (size_t i = 0; i < aggregate_functions.size(); ++i)
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{
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if (!is_aggregate_function_compiled[i])
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continue;
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AggregateFunctionInstruction * inst = aggregate_instructions + i;
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size_t arguments_size = inst->that->getArgumentTypes().size();
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for (size_t argument_index = 0; argument_index < arguments_size; ++argument_index)
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{
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columns_data.emplace_back(getColumnData(inst->batch_arguments[argument_index]));
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}
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}
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auto add_into_aggregate_states_function_single_place = compiled_aggregate_functions_holder->compiled_aggregate_functions.add_into_aggregate_states_function_single_place;
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add_into_aggregate_states_function_single_place(rows, columns_data.data(), res);
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}
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#endif
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/// Adding values
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for (size_t i = 0; i < aggregate_functions.size(); ++i)
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{
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AggregateFunctionInstruction * inst = aggregate_instructions + i;
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#if USE_EMBEDDED_COMPILER
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if constexpr (use_compiled_functions)
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if (is_aggregate_function_compiled[i])
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continue;
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#endif
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if (inst->offsets)
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inst->batch_that->addBatchSinglePlace(
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inst->offsets[static_cast<ssize_t>(rows - 1)], res + inst->state_offset, inst->batch_arguments, arena);
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@ -930,7 +963,16 @@ bool Aggregator::executeOnBlock(Columns columns, UInt64 num_rows, AggregatedData
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/// For the case when there are no keys (all aggregate into one row).
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if (result.type == AggregatedDataVariants::Type::without_key)
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{
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executeWithoutKeyImpl(result.without_key, num_rows, aggregate_functions_instructions.data(), result.aggregates_pool);
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#if USE_EMBEDDED_COMPILER
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if (compiled_aggregate_functions_holder)
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{
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executeWithoutKeyImpl<true>(result.without_key, num_rows, aggregate_functions_instructions.data(), result.aggregates_pool);
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}
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else
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#endif
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{
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executeWithoutKeyImpl<false>(result.without_key, num_rows, aggregate_functions_instructions.data(), result.aggregates_pool);
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}
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}
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else
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{
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@ -1121,7 +1121,7 @@ private:
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AggregateDataPtr overflow_row) const;
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/// Specialization for a particular value no_more_keys.
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template <bool no_more_keys, bool use_compiled_expressions, typename Method>
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template <bool no_more_keys, bool use_compiled_functions, typename Method>
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void executeImplBatch(
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Method & method,
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typename Method::State & state,
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@ -1131,7 +1131,8 @@ private:
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AggregateDataPtr overflow_row) const;
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/// For case when there are no keys (all aggregate into one row).
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static void executeWithoutKeyImpl(
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template <bool use_compiled_functions>
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void executeWithoutKeyImpl(
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AggregatedDataWithoutKey & res,
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size_t rows,
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AggregateFunctionInstruction * aggregate_instructions,
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@ -436,6 +436,133 @@ static void compileAddIntoAggregateStatesFunctions(llvm::Module & module, const
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b.CreateRetVoid();
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}
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static void compileAddIntoAggregateStatesFunctionsSinglePlace(llvm::Module & module, const std::vector<AggregateFunctionWithOffset> & functions, const std::string & name)
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{
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auto & context = module.getContext();
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llvm::IRBuilder<> b(context);
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auto * size_type = b.getIntNTy(sizeof(size_t) * 8);
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auto * places_type = b.getInt8Ty()->getPointerTo();
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auto * column_data_type = llvm::StructType::get(b.getInt8PtrTy(), b.getInt8PtrTy());
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auto * aggregate_loop_func_declaration = llvm::FunctionType::get(b.getVoidTy(), { size_type, column_data_type->getPointerTo(), places_type }, false);
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auto * aggregate_loop_func_definition = llvm::Function::Create(aggregate_loop_func_declaration, llvm::Function::ExternalLinkage, name, module);
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auto * arguments = aggregate_loop_func_definition->args().begin();
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llvm::Value * rows_count_arg = arguments++;
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llvm::Value * columns_arg = arguments++;
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llvm::Value * place_arg = arguments++;
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/// Initialize ColumnDataPlaceholder llvm representation of ColumnData
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auto * entry = llvm::BasicBlock::Create(b.getContext(), "entry", aggregate_loop_func_definition);
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b.SetInsertPoint(entry);
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std::vector<ColumnDataPlaceholder> columns;
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size_t previous_columns_size = 0;
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for (const auto & function : functions)
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{
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auto argument_types = function.function->getArgumentTypes();
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ColumnDataPlaceholder data_placeholder;
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size_t function_arguments_size = argument_types.size();
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for (size_t column_argument_index = 0; column_argument_index < function_arguments_size; ++column_argument_index)
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{
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const auto & argument_type = argument_types[column_argument_index];
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auto * data = b.CreateLoad(column_data_type, b.CreateConstInBoundsGEP1_64(column_data_type, columns_arg, previous_columns_size + column_argument_index));
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data_placeholder.data_init = b.CreatePointerCast(b.CreateExtractValue(data, {0}), toNativeType(b, removeNullable(argument_type))->getPointerTo());
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data_placeholder.null_init = argument_type->isNullable() ? b.CreateExtractValue(data, {1}) : nullptr;
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columns.emplace_back(data_placeholder);
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}
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previous_columns_size += function_arguments_size;
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}
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/// Initialize loop
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auto * end = llvm::BasicBlock::Create(b.getContext(), "end", aggregate_loop_func_definition);
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auto * loop = llvm::BasicBlock::Create(b.getContext(), "loop", aggregate_loop_func_definition);
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b.CreateCondBr(b.CreateICmpEQ(rows_count_arg, llvm::ConstantInt::get(size_type, 0)), end, loop);
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b.SetInsertPoint(loop);
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auto * counter_phi = b.CreatePHI(rows_count_arg->getType(), 2);
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counter_phi->addIncoming(llvm::ConstantInt::get(size_type, 0), entry);
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for (auto & col : columns)
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{
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col.data = b.CreatePHI(col.data_init->getType(), 2);
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col.data->addIncoming(col.data_init, entry);
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if (col.null_init)
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{
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col.null = b.CreatePHI(col.null_init->getType(), 2);
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col.null->addIncoming(col.null_init, entry);
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}
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}
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previous_columns_size = 0;
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for (const auto & function : functions)
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{
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size_t aggregate_function_offset = function.aggregate_data_offset;
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const auto * aggregate_function_ptr = function.function;
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auto arguments_types = function.function->getArgumentTypes();
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std::vector<llvm::Value *> arguments_values;
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size_t function_arguments_size = arguments_types.size();
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arguments_values.resize(function_arguments_size);
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for (size_t column_argument_index = 0; column_argument_index < function_arguments_size; ++column_argument_index)
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{
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auto * column_argument_data = columns[previous_columns_size + column_argument_index].data;
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auto * column_argument_null_data = columns[previous_columns_size + column_argument_index].null;
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auto & argument_type = arguments_types[column_argument_index];
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auto * value = b.CreateLoad(toNativeType(b, removeNullable(argument_type)), column_argument_data);
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if (!argument_type->isNullable())
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{
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arguments_values[column_argument_index] = value;
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continue;
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}
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auto * is_null = b.CreateICmpNE(b.CreateLoad(b.getInt8Ty(), column_argument_null_data), b.getInt8(0));
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auto * nullable_unitilized = llvm::Constant::getNullValue(toNativeType(b, argument_type));
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auto * nullable_value = b.CreateInsertValue(b.CreateInsertValue(nullable_unitilized, value, {0}), is_null, {1});
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arguments_values[column_argument_index] = nullable_value;
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}
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auto * aggregation_place_with_offset = b.CreateConstInBoundsGEP1_64(nullptr, place_arg, aggregate_function_offset);
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aggregate_function_ptr->compileAdd(b, aggregation_place_with_offset, arguments_types, arguments_values);
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previous_columns_size += function_arguments_size;
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}
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/// End of loop
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auto * cur_block = b.GetInsertBlock();
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for (auto & col : columns)
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{
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col.data->addIncoming(b.CreateConstInBoundsGEP1_64(nullptr, col.data, 1), cur_block);
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if (col.null)
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col.null->addIncoming(b.CreateConstInBoundsGEP1_64(nullptr, col.null, 1), cur_block);
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}
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auto * value = b.CreateAdd(counter_phi, llvm::ConstantInt::get(size_type, 1));
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counter_phi->addIncoming(value, cur_block);
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b.CreateCondBr(b.CreateICmpEQ(value, rows_count_arg), end, loop);
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b.SetInsertPoint(end);
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b.CreateRetVoid();
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}
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static void compileMergeAggregatesStates(llvm::Module & module, const std::vector<AggregateFunctionWithOffset> & functions, const std::string & name)
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{
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auto & context = module.getContext();
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@ -569,6 +696,7 @@ CompiledAggregateFunctions compileAggregateFunctions(CHJIT & jit, const std::vec
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std::string create_aggregate_states_functions_name = functions_dump_name + "_create";
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std::string add_aggregate_states_functions_name = functions_dump_name + "_add";
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std::string add_aggregate_states_functions_name_single_place = functions_dump_name + "_add_single_place";
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std::string merge_aggregate_states_functions_name = functions_dump_name + "_merge";
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std::string insert_aggregate_states_functions_name = functions_dump_name + "_insert";
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@ -576,17 +704,20 @@ CompiledAggregateFunctions compileAggregateFunctions(CHJIT & jit, const std::vec
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{
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compileCreateAggregateStatesFunctions(module, functions, create_aggregate_states_functions_name);
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compileAddIntoAggregateStatesFunctions(module, functions, add_aggregate_states_functions_name);
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compileAddIntoAggregateStatesFunctionsSinglePlace(module, functions, add_aggregate_states_functions_name_single_place);
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compileMergeAggregatesStates(module, functions, merge_aggregate_states_functions_name);
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compileInsertAggregatesIntoResultColumns(module, functions, insert_aggregate_states_functions_name);
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});
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auto create_aggregate_states_function = reinterpret_cast<JITCreateAggregateStatesFunction>(compiled_module.function_name_to_symbol[create_aggregate_states_functions_name]);
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auto add_into_aggregate_states_function = reinterpret_cast<JITAddIntoAggregateStatesFunction>(compiled_module.function_name_to_symbol[add_aggregate_states_functions_name]);
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auto add_into_aggregate_states_function_single_place = reinterpret_cast<JITAddIntoAggregateStatesFunctionSinglePlace>(compiled_module.function_name_to_symbol[add_aggregate_states_functions_name_single_place]);
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auto merge_aggregate_states_function = reinterpret_cast<JITMergeAggregateStatesFunction>(compiled_module.function_name_to_symbol[merge_aggregate_states_functions_name]);
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auto insert_aggregate_states_function = reinterpret_cast<JITInsertAggregateStatesIntoColumnsFunction>(compiled_module.function_name_to_symbol[insert_aggregate_states_functions_name]);
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assert(create_aggregate_states_function);
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assert(add_into_aggregate_states_function);
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assert(add_into_aggregate_states_function_single_place);
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assert(merge_aggregate_states_function);
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assert(insert_aggregate_states_function);
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@ -598,6 +729,7 @@ CompiledAggregateFunctions compileAggregateFunctions(CHJIT & jit, const std::vec
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{
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.create_aggregate_states_function = create_aggregate_states_function,
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.add_into_aggregate_states_function = add_into_aggregate_states_function,
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.add_into_aggregate_states_function_single_place = add_into_aggregate_states_function_single_place,
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.merge_aggregate_states_function = merge_aggregate_states_function,
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.insert_aggregates_into_columns_function = insert_aggregate_states_function,
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@ -54,6 +54,7 @@ struct AggregateFunctionWithOffset
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using JITCreateAggregateStatesFunction = void (*)(AggregateDataPtr);
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using JITAddIntoAggregateStatesFunction = void (*)(ColumnDataRowsSize, ColumnData *, AggregateDataPtr *);
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using JITAddIntoAggregateStatesFunctionSinglePlace = void (*)(ColumnDataRowsSize, ColumnData *, AggregateDataPtr);
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using JITMergeAggregateStatesFunction = void (*)(AggregateDataPtr, AggregateDataPtr);
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using JITInsertAggregateStatesIntoColumnsFunction = void (*)(ColumnDataRowsSize, ColumnData *, AggregateDataPtr *);
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@ -61,6 +62,8 @@ struct CompiledAggregateFunctions
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{
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JITCreateAggregateStatesFunction create_aggregate_states_function;
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JITAddIntoAggregateStatesFunction add_into_aggregate_states_function;
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JITAddIntoAggregateStatesFunctionSinglePlace add_into_aggregate_states_function_single_place;
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JITMergeAggregateStatesFunction merge_aggregate_states_function;
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JITInsertAggregateStatesIntoColumnsFunction insert_aggregates_into_columns_function;
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@ -75,6 +78,7 @@ struct CompiledAggregateFunctions
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*
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* JITCreateAggregateStatesFunction will initialize aggregate data ptr with initial aggregate states values.
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* JITAddIntoAggregateStatesFunction will update aggregate states for aggregate functions with specified ColumnData.
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* JITAddIntoAggregateStatesFunctionSinglePlace will update single aggregate state for aggregate functions with specified ColumnData.
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* JITMergeAggregateStatesFunction will merge aggregate states for aggregate functions.
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* JITInsertAggregateStatesIntoColumnsFunction will insert aggregate states for aggregate functions into result columns.
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*/
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@ -150,6 +150,44 @@
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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{function}(value_3)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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sum(toUInt256(value_3)),
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{function}(value_3)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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{function}If(value_3, predicate)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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sumIf(toUInt256(value_3), predicate),
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{function}If(value_3, predicate)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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@ -200,6 +238,51 @@
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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{function}(value_3),
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{function}(value_4),
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{function}(value_5)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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sum(toUInt256(value_3)),
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{function}(value_3),
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{function}(value_4),
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{function}(value_5)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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{function}If(value_3, predicate),
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{function}If(value_4, predicate),
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{function}If(value_5, predicate)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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sumIf(toUInt256(value_3), predicate),
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{function}If(value_3, predicate),
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{function}If(value_4, predicate),
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{function}If(value_5, predicate)
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FROM {table}
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FORMAT Null
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</query>
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<query>
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SELECT
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@ -247,6 +330,48 @@
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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{function}(ClientIP)
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FROM hits_100m_single
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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sum(toUInt256(ClientIP)),
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{function}(ClientIP)
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FROM hits_100m_single
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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{function}(ClientIP),
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{function}(IPNetworkID),
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{function}(SearchEngineID)
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FROM hits_100m_single
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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sum(toUInt256(ClientIP)),
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{function}(ClientIP),
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{function}(IPNetworkID),
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{function}(SearchEngineID)
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FROM hits_100m_single
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FORMAT Null
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</query>
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<query>
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WITH (WatchID % 2 == 0) AS predicate
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SELECT
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@ -297,5 +422,51 @@
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FORMAT Null
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</query>
|
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<query>
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WITH (WatchID % 2 == 0) AS predicate
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SELECT
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{function}If(WatchID, predicate),
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||||
{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>
|
||||
|
@ -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
|
||||
|
@ -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;
|
||||
|
Loading…
Reference in New Issue
Block a user