[GitHub] [arrow] wesm commented on a change in pull request #7417: ARROW-9079: [C++] Write benchmark for arithmetic kernels
wesm commented on a change in pull request #7417:
URL: https://github.com/apache/arrow/pull/7417#discussion_r439765330
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic_benchmark.cc
##
@@ -67,89 +68,35 @@ static void ArrayArrayKernel(benchmark::State& state) {
for (auto _ : state) {
ABORT_NOT_OK(Op(lhs, rhs, nullptr).status());
}
+ state.SetItemsProcessed(state.iterations() * array_size);
}
void SetArgs(benchmark::internal::Benchmark* bench) {
- bench->Unit(benchmark::kMicrosecond);
-
- for (const auto size : kMemorySizes) {
+ for (const auto size : {kL1Size, kL2Size}) {
Review comment:
I have a processor with 22MB L3 cache so generating that much random
data is quite expensive. If we want to benchmark arrays that big we should
generate a smaller sample of random data and repeat/tile it to make the bigger
array.
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[GitHub] [arrow] wesm commented on a change in pull request #7417: ARROW-9079: [C++] Write benchmark for arithmetic kernels
wesm commented on a change in pull request #7417:
URL: https://github.com/apache/arrow/pull/7417#discussion_r439765195
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic_benchmark.cc
##
@@ -0,0 +1,92 @@
+// 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
+
+#include "arrow/compute/api_scalar.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 = 0x94378165;
+
+template
+static void AddArrayScalarKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, Datum(CType(15))).status());
+ }
+}
+
+template
+static void AddArrayArrayKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+ auto rhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, rhs).status());
+ }
Review comment:
I just did this
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[GitHub] [arrow] wesm commented on a change in pull request #7417: ARROW-9079: [C++] Write benchmark for arithmetic kernels
wesm commented on a change in pull request #7417:
URL: https://github.com/apache/arrow/pull/7417#discussion_r439588572
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic_benchmark.cc
##
@@ -0,0 +1,92 @@
+// 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
+
+#include "arrow/compute/api_scalar.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 = 0x94378165;
+
+template
+static void AddArrayScalarKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, Datum(CType(15))).status());
+ }
+}
+
+template
+static void AddArrayArrayKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+ auto rhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, rhs).status());
+ }
Review comment:
It's not -- there's a toggle whether the "size" that is supplied is
bytes or items, but it's not possible to indicate both at the moment
https://github.com/apache/arrow/blob/master/cpp/src/arrow/compute/benchmark_util.h#L100-L104
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[GitHub] [arrow] wesm commented on a change in pull request #7417: ARROW-9079: [C++] Write benchmark for arithmetic kernels
wesm commented on a change in pull request #7417:
URL: https://github.com/apache/arrow/pull/7417#discussion_r439431785
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic_benchmark.cc
##
@@ -0,0 +1,92 @@
+// 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
+
+#include "arrow/compute/api_scalar.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 = 0x94378165;
+
+template
+static void AddArrayScalarKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, Datum(CType(15))).status());
+ }
+}
+
+template
+static void AddArrayArrayKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+ auto rhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, rhs).status());
+ }
Review comment:
can you add the items processed here also? (should be
`state.iterations() * lhs->length()`)
##
File path: cpp/src/arrow/compute/kernels/scalar_arithmetic_benchmark.cc
##
@@ -0,0 +1,92 @@
+// 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
+
+#include "arrow/compute/api_scalar.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 = 0x94378165;
+
+template
+static void AddArrayScalarKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, Datum(CType(15))).status());
+ }
+}
+
+template
+static void AddArrayArrayKernel(benchmark::State& state) {
+ RegressionArgs args(state);
+
+ const int64_t array_size = args.size / sizeof(CType);
+ auto min = std::numeric_limits::lowest();
+ auto max = std::numeric_limits::max();
+
+ auto rand = random::RandomArrayGenerator(kSeed);
+ auto lhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+ auto rhs = std::static_pointer_cast>(
+ rand.Numeric(array_size, min, max, args.null_proportion));
+
+ for (auto _ : state) {
+ABORT_NOT_OK(Add(lhs, rhs).status());
+ }
+}
+
+BENCHMARK_TEMPLATE(AddArrayArrayK
