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ARROW-10241: [C++][Compute] Add variance kernel benchmark #8407

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ARROW-10241: [C++][Compute] Add variance kernel benchmark #8407

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48 changes: 48 additions & 0 deletions cpp/src/arrow/compute/kernels/aggregate_benchmark.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -301,6 +301,10 @@ BENCHMARK_TEMPLATE(ReferenceSum, SumBitmapVectorizeUnroll<int64_t>)
->Apply(BenchmarkSetArgs);
#endif // ARROW_WITH_BENCHMARKS_REFERENCE

//
// Sum
//

template <typename ArrowType>
static void SumKernel(benchmark::State& state) {
using CType = typename TypeTraits<ArrowType>::CType;
Expand Down Expand Up @@ -330,6 +334,10 @@ SUM_KERNEL_BENCHMARK(SumKernelInt16, Int16Type);
SUM_KERNEL_BENCHMARK(SumKernelInt32, Int32Type);
SUM_KERNEL_BENCHMARK(SumKernelInt64, Int64Type);

//
// Mode
//

template <typename ArrowType>
void ModeKernelBench(benchmark::State& state) {
using CType = typename TypeTraits<ArrowType>::CType;
Expand Down Expand Up @@ -369,6 +377,10 @@ MODE_KERNEL_BENCHMARK(ModeKernelInt16, Int16Type);
MODE_KERNEL_BENCHMARK(ModeKernelInt32, Int32Type);
MODE_KERNEL_BENCHMARK(ModeKernelInt64, Int64Type);

//
// MinMax
//

template <typename ArrowType>
static void MinMaxKernelBench(benchmark::State& state) {
using CType = typename TypeTraits<ArrowType>::CType;
Expand Down Expand Up @@ -398,6 +410,10 @@ MINMAX_KERNEL_BENCHMARK(MinMaxKernelInt16, Int16Type);
MINMAX_KERNEL_BENCHMARK(MinMaxKernelInt32, Int32Type);
MINMAX_KERNEL_BENCHMARK(MinMaxKernelInt64, Int64Type);

//
// Count
//

static void CountKernelBenchInt64(benchmark::State& state) {
RegressionArgs args(state);
const int64_t array_size = args.size / sizeof(int64_t);
Expand All @@ -410,5 +426,37 @@ static void CountKernelBenchInt64(benchmark::State& state) {
}
BENCHMARK(CountKernelBenchInt64)->Args({1 * 1024 * 1024, 2}); // 1M with 50% null.

//
// Variance
//

template <typename ArrowType>
void VarianceKernelBench(benchmark::State& state) {
using CType = typename TypeTraits<ArrowType>::CType;

VarianceOptions options;
RegressionArgs args(state);
const int64_t array_size = args.size / sizeof(CType);
auto rand = random::RandomArrayGenerator(1925);
auto array = rand.Numeric<ArrowType>(array_size, -100000, 100000, args.null_proportion);

for (auto _ : state) {
ABORT_NOT_OK(Variance(array, options).status());
}
}

static void VarianceKernelBenchArgs(benchmark::internal::Benchmark* bench) {
BenchmarkSetArgsWithSizes(bench, {1 * 1024 * 1024});
}

#define VARIANCE_KERNEL_BENCHMARK(FuncName, Type) \
static void FuncName(benchmark::State& state) { VarianceKernelBench<Type>(state); } \
BENCHMARK(FuncName)->Apply(VarianceKernelBenchArgs)

VARIANCE_KERNEL_BENCHMARK(VarianceKernelInt32, Int32Type);
VARIANCE_KERNEL_BENCHMARK(VarianceKernelInt64, Int64Type);
VARIANCE_KERNEL_BENCHMARK(VarianceKernelFloat, FloatType);
VARIANCE_KERNEL_BENCHMARK(VarianceKernelDouble, DoubleType);

} // namespace compute
} // namespace arrow