org.apache.cassandra.stress.operations.SampledOpDistributionFactory.java Source code

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Here is the source code for org.apache.cassandra.stress.operations.SampledOpDistributionFactory.java

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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.
 * 
 */

import java.util.*;

import org.apache.cassandra.stress.generate.*;
import org.apache.cassandra.stress.util.Timing;
import org.apache.commons.math3.distribution.EnumeratedDistribution;
import org.apache.commons.math3.util.Pair;

import org.apache.cassandra.stress.Operation;
import org.apache.cassandra.stress.generate.DistributionFactory;
import org.apache.cassandra.stress.generate.PartitionGenerator;
import org.apache.cassandra.stress.util.Timer;

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);

    protected abstract PartitionGenerator newGenerator();

    public OpDistribution get(Timing timing, int sampleCount) {
        PartitionGenerator generator = newGenerator();
        List<Pair<Operation, Double>> operations = new ArrayList<>();
        for (Map.Entry<T, Double> ratio : ratios.entrySet()) {
            List<? extends Operation> ops = get(timing.newTimer(ratio.getKey().toString(), sampleCount), generator,
                    ratio.getKey());
            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(Timing timing, int sampleCount) {
                    List<? extends Operation> ops = SampledOpDistributionFactory.this.get(
                            timing.newTimer(ratio.getKey().toString(), sampleCount), newGenerator(),
                            ratio.getKey());
                    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<Operation>(ratios),
                            new DistributionFixed(1));
                }

                public String desc() {
                    return ratio.getKey().toString();
                }

                public Iterable<OpDistributionFactory> each() {
                    return Collections.<OpDistributionFactory>singleton(this);
                }
            });
        }
        return out;
    }

}