SqlMultipleApproxPercentileBenchmarks.java
/*
* 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 com.facebook.presto.benchmark;
import com.facebook.presto.testing.LocalQueryRunner;
import com.google.common.collect.ImmutableMap;
import java.util.ArrayList;
import java.util.List;
import static com.facebook.presto.benchmark.BenchmarkQueryRunner.createLocalQueryRunner;
import static java.lang.String.format;
public final class SqlMultipleApproxPercentileBenchmarks
{
private SqlMultipleApproxPercentileBenchmarks() {}
public static class SqlMultipleApproxPercentileBenchmark
extends AbstractSqlBenchmark
{
public SqlMultipleApproxPercentileBenchmark(LocalQueryRunner localQueryRunner, String sql)
{
super(localQueryRunner, "sql_multiple_approx_percentile", 10, 30, sql);
}
}
public static String getSql(int approxPercentileNumber)
{
List<String> list = new ArrayList<>();
double increment = 1.0 / (approxPercentileNumber + 1);
for (int i = 0; i < approxPercentileNumber; ++i) {
list.add(format(" approx_percentile(extendedprice, %f)", (i + 1) * increment));
}
String sql = format("select %s from lineitem", String.join(", ", list));
return sql;
}
public static void main(String[] args)
{
for (int i = 1; i < 20; ++i) {
System.out.println(format("%d approx_percentile functions", i));
System.out.println("Without optimization");
new SqlMultipleApproxPercentileBenchmark(createLocalQueryRunner(ImmutableMap.of("optimize_multiple_approx_percentile_on_same_field", "false")), getSql(i)).runBenchmark(new SimpleLineBenchmarkResultWriter(System.out));
System.out.println("With optimization");
new SqlMultipleApproxPercentileBenchmark(createLocalQueryRunner(), getSql(i)).runBenchmark(new SimpleLineBenchmarkResultWriter(System.out));
}
}
}