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13 changes: 4 additions & 9 deletions cpp/src/arrow/array/array_binary_test.cc
Original file line number Diff line number Diff line change
Expand Up @@ -43,11 +43,6 @@ namespace arrow {

using internal::checked_cast;

using StringTypes =
::testing::Types<StringType, LargeStringType, BinaryType, LargeBinaryType>;

using UTF8Types = ::testing::Types<StringType, LargeStringType>;

// ----------------------------------------------------------------------
// String / Binary tests

Expand Down Expand Up @@ -329,7 +324,7 @@ class TestStringArray : public ::testing::Test {
std::shared_ptr<ArrayType> strings_;
};

TYPED_TEST_SUITE(TestStringArray, StringTypes);
TYPED_TEST_SUITE(TestStringArray, BinaryArrowTypes);

TYPED_TEST(TestStringArray, TestArrayBasics) { this->TestArrayBasics(); }

Expand Down Expand Up @@ -386,7 +381,7 @@ class TestUTF8Array : public ::testing::Test {
}
};

TYPED_TEST_SUITE(TestUTF8Array, UTF8Types);
TYPED_TEST_SUITE(TestUTF8Array, StringArrowTypes);

TYPED_TEST(TestUTF8Array, TestValidateUTF8) { this->TestValidateUTF8(); }

Expand Down Expand Up @@ -666,7 +661,7 @@ class TestStringBuilder : public TestBuilder {
std::shared_ptr<ArrayType> result_;
};

TYPED_TEST_SUITE(TestStringBuilder, StringTypes);
TYPED_TEST_SUITE(TestStringBuilder, BinaryArrowTypes);

TYPED_TEST(TestStringBuilder, TestScalarAppend) { this->TestScalarAppend(); }

Expand Down Expand Up @@ -896,7 +891,7 @@ class TestBinaryDataVisitor : public ::testing::Test {
std::shared_ptr<DataType> type_;
};

TYPED_TEST_SUITE(TestBinaryDataVisitor, StringTypes);
TYPED_TEST_SUITE(TestBinaryDataVisitor, BinaryArrowTypes);

TYPED_TEST(TestBinaryDataVisitor, Basics) { this->TestBasics(); }

Expand Down
5 changes: 1 addition & 4 deletions cpp/src/arrow/array/concatenate_test.cc
Original file line number Diff line number Diff line change
Expand Up @@ -133,10 +133,7 @@ class PrimitiveConcatenateTest : public ConcatenateTest {
public:
};

using PrimitiveTypes =
::testing::Types<BooleanType, Int8Type, UInt8Type, Int16Type, UInt16Type, Int32Type,
UInt32Type, Int64Type, UInt64Type, FloatType, DoubleType>;
TYPED_TEST_SUITE(PrimitiveConcatenateTest, PrimitiveTypes);
TYPED_TEST_SUITE(PrimitiveConcatenateTest, PrimitiveArrowTypes);

TYPED_TEST(PrimitiveConcatenateTest, Primitives) {
this->Check([this](int64_t size, double null_probability, std::shared_ptr<Array>* out) {
Expand Down
11 changes: 6 additions & 5 deletions cpp/src/arrow/compute/kernels/aggregate_basic.cc
Original file line number Diff line number Diff line change
Expand Up @@ -607,10 +607,7 @@ void AddMinMaxKernels(KernelInit init,
const std::vector<std::shared_ptr<DataType>>& types,
ScalarAggregateFunction* func, SimdLevel::type simd_level) {
for (const auto& ty : types) {
// any[T] -> scalar[struct<min: T, max: T>]
auto out_ty = struct_({field("min", ty), field("max", ty)});
auto sig = KernelSignature::Make({InputType(ty->id())}, ValueDescr::Scalar(out_ty));
AddAggKernel(std::move(sig), init, func, simd_level);
AddMinMaxKernel(init, ty, func, simd_level);
}
}

Expand Down Expand Up @@ -764,8 +761,12 @@ void RegisterScalarAggregateBasic(FunctionRegistry* registry) {

func = std::make_shared<ScalarAggregateFunction>(
"min_max", Arity::Unary(), &min_max_doc, &default_scalar_aggregate_options);
aggregate::AddMinMaxKernels(aggregate::MinMaxInit, {boolean()}, func.get());
aggregate::AddMinMaxKernels(aggregate::MinMaxInit, {null(), boolean()}, func.get());
aggregate::AddMinMaxKernels(aggregate::MinMaxInit, NumericTypes(), func.get());
aggregate::AddMinMaxKernels(aggregate::MinMaxInit, TemporalTypes(), func.get());
aggregate::AddMinMaxKernels(aggregate::MinMaxInit, BaseBinaryTypes(), func.get());
aggregate::AddMinMaxKernel(aggregate::MinMaxInit, Type::FIXED_SIZE_BINARY, func.get());
aggregate::AddMinMaxKernel(aggregate::MinMaxInit, Type::INTERVAL_MONTHS, func.get());
aggregate::AddMinMaxKernel(aggregate::MinMaxInit, Type::DECIMAL128, func.get());
aggregate::AddMinMaxKernel(aggregate::MinMaxInit, Type::DECIMAL256, func.get());
// Add the SIMD variants for min max
Expand Down
22 changes: 12 additions & 10 deletions cpp/src/arrow/compute/kernels/aggregate_basic_avx2.cc
Original file line number Diff line number Diff line change
Expand Up @@ -55,30 +55,32 @@ Result<std::unique_ptr<KernelState>> MeanInitAvx2(KernelContext* ctx,

Result<std::unique_ptr<KernelState>> MinMaxInitAvx2(KernelContext* ctx,
const KernelInitArgs& args) {
ARROW_ASSIGN_OR_RAISE(auto out_type,
args.kernel->signature->out_type().Resolve(ctx, args.inputs));
MinMaxInitState<SimdLevel::AVX2> visitor(
ctx, *args.inputs[0].type, args.kernel->signature->out_type().type(),
ctx, *args.inputs[0].type, std::move(out_type.type),
static_cast<const ScalarAggregateOptions&>(*args.options));
return visitor.Create();
}

void AddSumAvx2AggKernels(ScalarAggregateFunction* func) {
AddBasicAggKernels(SumInitAvx2, internal::SignedIntTypes(), int64(), func,
SimdLevel::AVX2);
AddBasicAggKernels(SumInitAvx2, internal::UnsignedIntTypes(), uint64(), func,
SimdLevel::AVX2);
AddBasicAggKernels(SumInitAvx2, internal::FloatingPointTypes(), float64(), func,
SimdLevel::AVX2);
AddBasicAggKernels(SumInitAvx2, SignedIntTypes(), int64(), func, SimdLevel::AVX2);
AddBasicAggKernels(SumInitAvx2, UnsignedIntTypes(), uint64(), func, SimdLevel::AVX2);
AddBasicAggKernels(SumInitAvx2, FloatingPointTypes(), float64(), func, SimdLevel::AVX2);
}

void AddMeanAvx2AggKernels(ScalarAggregateFunction* func) {
AddBasicAggKernels(MeanInitAvx2, internal::NumericTypes(), float64(), func,
SimdLevel::AVX2);
AddBasicAggKernels(MeanInitAvx2, NumericTypes(), float64(), func, SimdLevel::AVX2);
}

void AddMinMaxAvx2AggKernels(ScalarAggregateFunction* func) {
// Enable int types for AVX2 variants.
// No auto vectorize for float/double as it use fmin/fmax which has NaN handling.
AddMinMaxKernels(MinMaxInitAvx2, internal::IntTypes(), func, SimdLevel::AVX2);
AddMinMaxKernels(MinMaxInitAvx2, IntTypes(), func, SimdLevel::AVX2);
AddMinMaxKernels(MinMaxInitAvx2, TemporalTypes(), func, SimdLevel::AVX2);
AddMinMaxKernels(MinMaxInitAvx2, BaseBinaryTypes(), func, SimdLevel::AVX2);
AddMinMaxKernel(MinMaxInitAvx2, Type::FIXED_SIZE_BINARY, func, SimdLevel::AVX2);
AddMinMaxKernel(MinMaxInitAvx2, Type::INTERVAL_MONTHS, func, SimdLevel::AVX2);
}

} // namespace aggregate
Expand Down
17 changes: 11 additions & 6 deletions cpp/src/arrow/compute/kernels/aggregate_basic_avx512.cc
Original file line number Diff line number Diff line change
Expand Up @@ -55,30 +55,35 @@ Result<std::unique_ptr<KernelState>> MeanInitAvx512(KernelContext* ctx,

Result<std::unique_ptr<KernelState>> MinMaxInitAvx512(KernelContext* ctx,
const KernelInitArgs& args) {
ARROW_ASSIGN_OR_RAISE(auto out_type,
args.kernel->signature->out_type().Resolve(ctx, args.inputs));
MinMaxInitState<SimdLevel::AVX512> visitor(
ctx, *args.inputs[0].type, args.kernel->signature->out_type().type(),
ctx, *args.inputs[0].type, std::move(out_type.type),
static_cast<const ScalarAggregateOptions&>(*args.options));
return visitor.Create();
}

void AddSumAvx512AggKernels(ScalarAggregateFunction* func) {
AddBasicAggKernels(SumInitAvx512, internal::SignedIntTypes(), int64(), func,
AddBasicAggKernels(SumInitAvx512, SignedIntTypes(), int64(), func, SimdLevel::AVX512);
AddBasicAggKernels(SumInitAvx512, UnsignedIntTypes(), uint64(), func,
SimdLevel::AVX512);
AddBasicAggKernels(SumInitAvx512, internal::UnsignedIntTypes(), uint64(), func,
SimdLevel::AVX512);
AddBasicAggKernels(SumInitAvx512, internal::FloatingPointTypes(), float64(), func,
AddBasicAggKernels(SumInitAvx512, FloatingPointTypes(), float64(), func,
SimdLevel::AVX512);
}

void AddMeanAvx512AggKernels(ScalarAggregateFunction* func) {
aggregate::AddBasicAggKernels(MeanInitAvx512, internal::NumericTypes(), float64(), func,
aggregate::AddBasicAggKernels(MeanInitAvx512, NumericTypes(), float64(), func,
SimdLevel::AVX512);
}

void AddMinMaxAvx512AggKernels(ScalarAggregateFunction* func) {
// Enable 32/64 int types for avx512 variants, no advantage on 8/16 int.
AddMinMaxKernels(MinMaxInitAvx512, {int32(), uint32(), int64(), uint64()}, func,
SimdLevel::AVX512);
AddMinMaxKernels(MinMaxInitAvx512, TemporalTypes(), func, SimdLevel::AVX512);
AddMinMaxKernels(MinMaxInitAvx512, BaseBinaryTypes(), func, SimdLevel::AVX2);
AddMinMaxKernel(MinMaxInitAvx512, Type::FIXED_SIZE_BINARY, func, SimdLevel::AVX2);
AddMinMaxKernel(MinMaxInitAvx512, Type::INTERVAL_MONTHS, func, SimdLevel::AVX512);
}

} // namespace aggregate
Expand Down
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