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Minor renamings
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@ -273,7 +273,7 @@ private:
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};
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/// Apply target function by feeding it "stripes" of N columns
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/// Apply target function by feeding it "batches" of N columns
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/// Combining 10 columns per pass is the fastest for large block sizes.
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/// For small block sizes - more columns is faster.
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template <
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@ -281,21 +281,21 @@ template <
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struct OperationApplier
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{
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template <typename Columns, typename ResultColumn>
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static void run(Columns & in, ResultColumn & result)
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static void apply(Columns & in, ResultColumn & result)
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{
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while (in.size() > 1)
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{
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doRun(in, result->getData());
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doBatchedApply(in, result->getData());
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in.push_back(result.get());
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}
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}
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template <typename Columns, typename ResultData>
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static void NO_INLINE doRun(Columns & in, ResultData & result_data)
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static void NO_INLINE doBatchedApply(Columns & in, ResultData & result_data)
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{
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if (N > in.size())
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{
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OperationApplier<Op, OperationApplierImpl, N - 1>::doRun(in, result_data);
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OperationApplier<Op, OperationApplierImpl, N - 1>::doBatchedApply(in, result_data);
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return;
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}
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@ -313,10 +313,10 @@ template <
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struct OperationApplier<Op, OperationApplierImpl, 1>
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{
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template <typename Columns, typename Result>
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static void NO_INLINE doRun(Columns &, Result &)
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static void NO_INLINE doBatchedApply(Columns &, Result &)
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{
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throw Exception(
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"AssociativeOperationImpl::execute(...): not enough arguments to run this method",
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"OperationApplier<...>::apply(...): not enough arguments to run this method",
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ErrorCodes::LOGICAL_ERROR);
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}
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};
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@ -342,7 +342,7 @@ static void executeForTernaryLogicImpl(ColumnRawPtrs arguments, ColumnWithTypeAn
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const auto result_column = ColumnUInt8::create(input_rows_count);
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/// TODO: WARNING! This code is faulty for the case of constant
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OperationApplier<Op, AssociativeGenericApplierImpl>::run(arguments, result_column);
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OperationApplier<Op, AssociativeGenericApplierImpl>::apply(arguments, result_column);
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result_info.column = convertFromTernaryData(result_column->getData(), result_info.type->isNullable());
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}
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@ -352,30 +352,31 @@ template <typename Op, typename ... Types>
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struct TypedExecutorInvoker;
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template <typename Op>
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using FastExecutorImpl =
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using FastApplierImpl =
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TypedExecutorInvoker<Op, UInt8, UInt16, UInt32, UInt64, Int8, Int16, Int32, Int64, Float32, Float64>;
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template <typename Op, typename Type, typename ... Types>
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struct TypedExecutorInvoker<Op, Type, Types ...>
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{
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template <typename T, typename Result>
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static void call(const ColumnVector<T> & x, const IColumn & y, Result & result)
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static void apply(const ColumnVector<T> & x, const IColumn & y, Result & result)
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{
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if (const auto column = typeid_cast<const ColumnVector<Type> *>(&y))
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std::transform(
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x.cbegin(), x.cend(), column->cbegin(), column->cend(),
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x.getData().cbegin(), x.getData().cend(),
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column->getData().cbegin(), result.begin(),
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[](const auto x, const auto y) { return Op::apply(!!x, !!y); });
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else
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TypedExecutorInvoker<Op, Types ...>::template call<T>(x, y, result);
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TypedExecutorInvoker<Op, Types ...>::template apply<T>(x, y, result);
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}
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template <typename Result>
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static void call(const IColumn & x, const IColumn & y, Result & result)
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static void apply(const IColumn & x, const IColumn & y, Result & result)
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{
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if (const auto column = typeid_cast<const ColumnVector<Type> *>(&x))
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FastExecutorImpl<Op>::template call<Type>(*column, y, result);
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FastApplierImpl<Op>::template apply<Type>(*column, y, result);
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else
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TypedExecutorInvoker<Op, Types ...>::call(x, y, result);
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TypedExecutorInvoker<Op, Types ...>::apply(x, y, result);
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}
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};
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@ -383,32 +384,18 @@ template <typename Op>
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struct TypedExecutorInvoker<Op>
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{
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template <typename T, typename Result>
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static void call(const ColumnVector<T> &, const IColumn & y, Result &)
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static void apply(const ColumnVector<T> &, const IColumn & y, Result &)
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{
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throw Exception(std::string("Unknown numeric column y of type: ") + demangle(typeid(y).name()), ErrorCodes::LOGICAL_ERROR);
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}
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template <typename Result>
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static void call(const IColumn & x, const IColumn &, Result &)
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static void apply(const IColumn & x, const IColumn &, Result &)
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{
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throw Exception(std::string("Unknown numeric column x of type: ") + demangle(typeid(x).name()), ErrorCodes::LOGICAL_ERROR);
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}
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};
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template <typename Op>
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MutableColumnPtr fastPathApplyAll(ColumnRawPtrs & args)
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{
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if (args.size() != 2)
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throw Exception(
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"Algorithm inconsistency: Fast path is only implemented for 2 vectors currently",
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ErrorCodes::LOGICAL_ERROR);
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auto result_column = ColumnVector<typename Op::ResultType>::create(args[0]->size());
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FastExecutorImpl<Op>::call(*args[0], *args[1], result_column->getData());
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return std::move(result_column);
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}
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template <class Op>
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static void basicExecuteImpl(ColumnRawPtrs arguments, ColumnWithTypeAndName & result_info, size_t input_rows_count)
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@ -432,7 +419,6 @@ static void basicExecuteImpl(ColumnRawPtrs arguments, ColumnWithTypeAndName & re
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UInt8ColumnPtrs uint8_args;
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/// TODO: FastPath detection goes in here
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auto col_res = ColumnUInt8::create();
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UInt8Container & vec_res = col_res->getData();
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if (has_consts)
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@ -445,6 +431,18 @@ static void basicExecuteImpl(ColumnRawPtrs arguments, ColumnWithTypeAndName & re
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vec_res.resize(input_rows_count);
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}
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/// FastPath detection goes in here
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if (arguments.size() == (has_consts ? 1 : 2))
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{
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if (has_consts)
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FastApplierImpl<Op>::apply(*arguments[0], *col_res, col_res->getData());
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else
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FastApplierImpl<Op>::apply(*arguments[0], *arguments[1], col_res->getData());
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result_info.column = std::move(col_res);
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return;
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}
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/// Convert all columns to UInt8
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Columns converted_columns;
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for (const IColumn * column : arguments)
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@ -460,7 +458,7 @@ static void basicExecuteImpl(ColumnRawPtrs arguments, ColumnWithTypeAndName & re
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}
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}
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OperationApplier<Op, AssociativeApplierImpl>::run(uint8_args, col_res);
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OperationApplier<Op, AssociativeApplierImpl>::apply(uint8_args, col_res);
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/// This is possible if there is exactly one non-constant among the arguments, and it is of type UInt8.
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if (uint8_args[0] != col_res.get())
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