blob: 180003919f367d39cee884e5637cafce8376db74 [file] [log] [blame]
package org.apache.cassandra.stress.operations;
/*
*
* 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.
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*/
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import org.apache.cassandra.stress.Operation;
import org.apache.cassandra.stress.StressAction.MeasurementSink;
import org.apache.cassandra.stress.generate.DistributionFactory;
import org.apache.cassandra.stress.generate.DistributionFixed;
import org.apache.cassandra.stress.generate.PartitionGenerator;
import org.apache.cassandra.stress.report.Timer;
import org.apache.commons.math3.distribution.EnumeratedDistribution;
import org.apache.commons.math3.util.Pair;
public abstract class SampledOpDistributionFactory<T> implements OpDistributionFactory
{
final Map<T, Double> ratios;
final DistributionFactory clustering;
protected SampledOpDistributionFactory(Map<T, Double> ratios, DistributionFactory clustering)
{
this.ratios = ratios;
this.clustering = clustering;
}
protected abstract List<? extends Operation> get(Timer timer, PartitionGenerator generator, T key, boolean isWarmup);
protected abstract PartitionGenerator newGenerator();
public OpDistribution get(boolean isWarmup, MeasurementSink sink)
{
PartitionGenerator generator = newGenerator();
List<Pair<Operation, Double>> operations = new ArrayList<>();
for (Map.Entry<T, Double> ratio : ratios.entrySet())
{
List<? extends Operation> ops = get(new Timer(ratio.getKey().toString(), sink),
generator, ratio.getKey(), isWarmup);
for (Operation op : ops)
operations.add(new Pair<>(op, ratio.getValue() / ops.size()));
}
return new SampledOpDistribution(new EnumeratedDistribution<>(operations), clustering.get());
}
public String desc()
{
List<T> keys = new ArrayList<>();
for (Map.Entry<T, Double> ratio : ratios.entrySet())
keys.add(ratio.getKey());
return keys.toString();
}
public Iterable<OpDistributionFactory> each()
{
List<OpDistributionFactory> out = new ArrayList<>();
for (final Map.Entry<T, Double> ratio : ratios.entrySet())
{
out.add(new OpDistributionFactory()
{
public OpDistribution get(boolean isWarmup, MeasurementSink sink)
{
List<? extends Operation> ops = SampledOpDistributionFactory.this.get(new Timer(ratio.getKey().toString(), sink),
newGenerator(),
ratio.getKey(),
isWarmup);
if (ops.size() == 1)
return new FixedOpDistribution(ops.get(0));
List<Pair<Operation, Double>> ratios = new ArrayList<>();
for (Operation op : ops)
ratios.add(new Pair<>(op, 1d / ops.size()));
return new SampledOpDistribution(new EnumeratedDistribution<>(ratios), new DistributionFixed(1));
}
public String desc()
{
return ratio.getKey().toString();
}
public Iterable<OpDistributionFactory> each()
{
return Collections.<OpDistributionFactory>singleton(this);
}
});
}
return out;
}
}