westonpace commented on a change in pull request #12755: URL: https://github.com/apache/arrow/pull/12755#discussion_r838574799
########## File path: cpp/src/arrow/compute/exec/expression_execution_benchmark.cc ########## @@ -0,0 +1,56 @@ +// 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/cast.h" +#include "arrow/compute/exec/expression.h" +#include "arrow/compute/exec/test_util.h" +#include "arrow/dataset/partition.h" +#include "arrow/testing/generator.h" +#include "arrow/testing/gtest_util.h" +#include "arrow/type.h" + +namespace arrow { +namespace compute { + +auto expression = + and_(less(field_ref("x"), literal(20)), greater(field_ref("x"), literal(0))); + +static void Execution(benchmark::State& state) { + const auto array_batches = static_cast<int32_t>(state.range(0)); + const auto array_size = 10000000 / array_batches; + + ExecContext ctx; + auto dataset_schema = schema({ + field("x", int64()), + }); + ExecBatch input({Datum(ConstantArrayGenerator::Int64(array_size, 5))}, + /*length=*/1); + + ASSIGN_OR_ABORT(auto bound, expression.Bind(*dataset_schema)); + for (auto _ : state) { + for (int it = 0; it < array_batches; ++it) Review comment: It makes it so that each iteration is processing 10 million elements. Then the CPU/Time column is meaningful because it shows the time required to do the exact same amount of "work" at different batch sizes. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
