cpp/src/arrow/compute/kernels/vector_partition_benchmark.cc

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// distributed with this work for additional information
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// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
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//
//   http://www.apache.org/licenses/LICENSE-2.0
//
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#include "benchmark/benchmark.h"

#include "arrow/compute/api_vector.h"
#include "arrow/compute/kernels/test_util.h"
#include "arrow/testing/gtest_util.h"
#include "arrow/testing/random.h"
#include "arrow/util/benchmark_util.h"

namespace arrow {
namespace compute {
constexpr auto kSeed = 0x0ff1ce;

static void NthToIndicesBenchmark(benchmark::State& state,
                                  const std::shared_ptr<Array>& values, int64_t n) {
  for (auto _ : state) {
    ABORT_NOT_OK(NthToIndices(*values, n).status());
  }
  state.SetItemsProcessed(state.iterations() * values->length());
}

static void NthToIndicesInt64(benchmark::State& state) {
  RegressionArgs args(state);

  const int64_t array_size = args.size / sizeof(int64_t);
  auto rand = random::RandomArrayGenerator(kSeed);

  auto min = std::numeric_limits<int64_t>::min();
  auto max = std::numeric_limits<int64_t>::max();
  auto values = rand.Int64(array_size, min, max, args.null_proportion);

  NthToIndicesBenchmark(state, values, array_size / 2);
}

BENCHMARK(NthToIndicesInt64)
    ->Apply(RegressionSetArgs)
    ->Args({1 << 20, 100})
    ->Args({1 << 23, 100})
    ->MinTime(1.0)
    ->Unit(benchmark::TimeUnit::kNanosecond);

}  // namespace compute
}  // namespace arrow