/**
* Licensed 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.
*/
package org.apache.hive.benchmark.vectorization;
import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.expressions.LongColDivideLongColumn;
import org.apache.hadoop.hive.ql.exec.vector.expressions.gen.DoubleColAddDoubleColumn;
import org.apache.hadoop.hive.ql.exec.vector.expressions.gen.DoubleColDivideDoubleColumn;
import org.apache.hadoop.hive.ql.exec.vector.expressions.gen.LongColAddLongColumn;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;
/**
* This test measures the performance for vectorization.
* <p/>
* This test uses JMH framework for benchmarking.
* You may execute this benchmark tool using JMH command line in different ways:
* <p/>
* To use the settings shown in the main() function, use:
* $ java -cp target/benchmarks.jar org.apache.hive.benchmark.vectorization.VectorizedArithmeticBench
* <p/>
* To use the default settings used by JMH, use:
* $ java -jar target/benchmarks.jar org.apache.hive.benchmark.vectorization.VectorizedArithmeticBench
* <p/>
* To specify different parameters, use:
* - This command will use 10 warm-up iterations, 5 test iterations, and 2 forks. And it will
* display the Average Time (avgt) in Microseconds (us)
* - Benchmark mode. Available modes are:
* [Throughput/thrpt, AverageTime/avgt, SampleTime/sample, SingleShotTime/ss, All/all]
* - Output time unit. Available time units are: [m, s, ms, us, ns].
* <p/>
* $ java -jar target/benchmarks.jar org.apache.hive.benchmark.vectorization.VectorizedArithmeticBench
* -wi 10 -i 5 -f 2 -bm avgt -tu us
*/
@State(Scope.Benchmark)
public class VectorizedArithmeticBench {
public static class DoubleColAddRepeatingDoubleColumnBench extends AbstractExpression {
@Override
public void setup() {
rowBatch = buildRowBatch(new DoubleColumnVector(), 2, getDoubleColumnVector(),
getRepeatingDoubleColumnVector());
expression = new DoubleColAddDoubleColumn(0, 1, 2);
}
}
public static class LongColAddRepeatingLongColumnBench extends AbstractExpression {
@Override
public void setup() {
rowBatch = buildRowBatch(new LongColumnVector(), 2, getLongColumnVector(),
getRepeatingLongColumnVector());
expression = new LongColAddLongColumn(0, 1, 2);
}
}
public static class DoubleColDivideDoubleColumnBench extends AbstractExpression {
@Override
public void setup() {
rowBatch = buildRowBatch(new DoubleColumnVector(), 2, getDoubleColumnVector(),
getDoubleColumnVector());
expression = new DoubleColDivideDoubleColumn(0, 1, 2);
}
}
public static class DoubleColDivideRepeatingDoubleColumnBench extends AbstractExpression {
@Override
public void setup() {
rowBatch = buildRowBatch(new DoubleColumnVector(), 2, getDoubleColumnVector(),
getRepeatingDoubleColumnVector());
expression = new DoubleColDivideDoubleColumn(0, 1, 2);
}
}
public static class LongColDivideLongColumnBench extends AbstractExpression {
@Override
public void setup() {
rowBatch = buildRowBatch(new DoubleColumnVector(), 2, getLongColumnVector(),
getLongColumnVector());
expression = new LongColDivideLongColumn(0, 1, 2);
}
}
public static class LongColDivideRepeatingLongColumnBench extends AbstractExpression {
@Override
public void setup() {
rowBatch = buildRowBatch(new DoubleColumnVector(), 2, getLongColumnVector(),
getRepeatingLongColumnVector());
expression = new LongColDivideLongColumn(0, 1, 2);
}
}
public static void main(String[] args) throws RunnerException {
Options opt = new OptionsBuilder().include(".*" + VectorizedArithmeticBench.class.getSimpleName() +
".*").build();
new Runner(opt).run();
}
}