[GitHub] [arrow] fsaintjacques commented on a change in pull request #7358: ARROW-9045: [C++] Expand / improve Take and Filter benchmarks for enhanced baseline

[GitBox <gi...@apache.org>]

fsaintjacques commented on a change in pull request #7358:
URL: https://github.com/apache/arrow/pull/7358#discussion_r436089235



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File path: cpp/src/arrow/compute/kernels/vector_selection_benchmark.cc
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@@ -0,0 +1,291 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+#include "benchmark/benchmark.h"
+
+#include "arrow/compute/api_vector.h"
+#include "arrow/compute/benchmark_util.h"
+#include "arrow/compute/kernels/test_util.h"
+#include "arrow/testing/gtest_util.h"
+#include "arrow/testing/random.h"
+
+namespace arrow {
+namespace compute {
+
+constexpr auto kSeed = 0x0ff1ce;
+
+struct FilterParams {
+  // proportion of nulls in the values array
+  const double values_null_proportion;
+
+  // proportion of true in filter
+  const double selected_proportion;
+
+  // proportion of nulls in the filter
+  const double filter_null_proportion;
+};
+
+std::vector<int64_t> g_data_sizes = {kL1Size, 1 << 20};
+
+// The benchmark state parameter references this vector of cases. Test high and
+// low selectivity filters.
+std::vector<FilterParams> g_filter_params = {
+    {0., 0.95, 0.05},   {0., 0.10, 0.05},   {0.001, 0.95, 0.05}, {0.001, 0.10, 0.05},
+    {0.01, 0.95, 0.05}, {0.01, 0.10, 0.05}, {0.1, 0.95, 0.05},   {0.1, 0.10, 0.05},
+    {0.9, 0.95, 0.05},  {0.9, 0.10, 0.05}};
+
+// RAII struct to handle some of the boilerplate in filter
+struct FilterArgs {
+  // size of memory tested (per iteration) in bytes
+  const int64_t size;
+
+  double values_null_proportion = 0.;
+  double selected_proportion = 0.;
+  double filter_null_proportion = 0.;
+
+  FilterArgs(benchmark::State& state, bool filter_has_nulls)
+      : size(state.range(0)), state_(state) {
+    auto params = g_filter_params[state.range(1)];
+    values_null_proportion = params.values_null_proportion;
+    selected_proportion = params.selected_proportion;
+    filter_null_proportion = filter_has_nulls ? params.filter_null_proportion : 0;
+  }
+
+  ~FilterArgs() {
+    state_.counters["size"] = static_cast<double>(size);
+    state_.counters["select%"] = selected_proportion * 100;
+    state_.counters["data null%"] = values_null_proportion * 100;
+    state_.counters["mask null%"] = filter_null_proportion * 100;
+    state_.SetBytesProcessed(state_.iterations() * size);
+  }
+
+ private:
+  benchmark::State& state_;
+};
+
+struct TakeBenchmark {
+  benchmark::State& state;
+  RegressionArgs args;
+  random::RandomArrayGenerator rand;
+  bool indices_have_nulls;
+  bool monotonic_indices = false;
+
+  TakeBenchmark(benchmark::State& state, bool indices_have_nulls,
+                bool monotonic_indices = false)
+      : state(state),
+        args(state),
+        rand(kSeed),
+        indices_have_nulls(indices_have_nulls),
+        monotonic_indices(false) {}
+
+  void Int64() {
+    const int64_t array_size = args.size / sizeof(int64_t);
+    auto values = rand.Int64(array_size, -100, 100, args.null_proportion);
+    Bench(values);
+  }
+
+  void FSLInt64() {
+    const int64_t array_size = args.size / sizeof(int64_t);
+    auto int_array = rand.Int64(array_size, -100, 100, args.null_proportion);
+    auto values = std::make_shared<FixedSizeListArray>(
+        fixed_size_list(int64(), 1), array_size, int_array, int_array->null_bitmap(),
+        int_array->null_count());
+    Bench(values);
+  }
+
+  void String() {
+    int32_t string_min_length = 0, string_max_length = 32;
+    int32_t string_mean_length = (string_max_length + string_min_length) / 2;
+    // for an array of 50% null strings, we need to generate twice as many strings
+    // to ensure that they have an average of args.size total characters
+    int64_t array_size = args.size;
+    if (args.null_proportion < 1) {
+      array_size = static_cast<int64_t>(args.size / string_mean_length /
+                                        (1 - args.null_proportion));
+    }
+    auto values = std::static_pointer_cast<StringArray>(rand.String(
+        array_size, string_min_length, string_max_length, args.null_proportion));
+    Bench(values);
+  }
+
+  void Bench(const std::shared_ptr<Array>& values) {
+    bool indices_null_proportion = indices_have_nulls ? args.null_proportion : 0;
+    auto indices =
+        rand.Int32(static_cast<int32_t>(values->length()), 0,
+                   static_cast<int32_t>(values->length() - 1), indices_null_proportion);
+
+    if (monotonic_indices) {
+      auto arg_sorter = *SortToIndices(*indices);
+      indices = *Take(*indices, *arg_sorter);
+    }
+
+    for (auto _ : state) {
+      ABORT_NOT_OK(Take(values, indices).status());
+    }
+  }
+};
+
+struct FilterBenchmark {
+  benchmark::State& state;
+  FilterArgs args;
+  random::RandomArrayGenerator rand;
+  bool filter_has_nulls;
+
+  FilterBenchmark(benchmark::State& state, bool filter_has_nulls)
+      : state(state),
+        args(state, filter_has_nulls),
+        rand(kSeed),
+        filter_has_nulls(filter_has_nulls) {}
+
+  void Int64() {
+    const int64_t array_size = args.size / sizeof(int64_t);
+    auto values = std::static_pointer_cast<NumericArray<Int64Type>>(
+        rand.Int64(array_size, -100, 100, args.values_null_proportion));
+    Bench(values);
+  }
+
+  void FSLInt64() {
+    const int64_t array_size = args.size / sizeof(int64_t);
+    auto int_array = std::static_pointer_cast<NumericArray<Int64Type>>(
+        rand.Int64(array_size, -100, 100, args.values_null_proportion));
+    auto values = std::make_shared<FixedSizeListArray>(
+        fixed_size_list(int64(), 1), array_size, int_array, int_array->null_bitmap(),
+        int_array->null_count());
+    Bench(values);
+  }
+
+  void String() {
+    int32_t string_min_length = 0, string_max_length = 32;
+    int32_t string_mean_length = (string_max_length + string_min_length) / 2;
+    // for an array of 50% null strings, we need to generate twice as many strings
+    // to ensure that they have an average of args.size total characters
+    int64_t array_size = args.size;
+    if (args.values_null_proportion < 1) {
+      array_size = static_cast<int64_t>(args.size / string_mean_length /
+                                        (1 - args.values_null_proportion));
+    }
+    auto values = std::static_pointer_cast<StringArray>(rand.String(
+        array_size, string_min_length, string_max_length, args.values_null_proportion));
+    Bench(values);
+  }
+
+  void Bench(const std::shared_ptr<Array>& values) {
+    auto filter = rand.Boolean(values->length(), args.selected_proportion,
+                               args.filter_null_proportion);
+    for (auto _ : state) {
+      ABORT_NOT_OK(Filter(values, filter).status());
+    }
+  }
+};
+
+static void FilterInt64FilterNoNulls(benchmark::State& state) {
+  return FilterBenchmark(state, false).Int64();

Review comment:
       You might get compiler warnings for returning in a void function.




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