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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.

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/*
 * 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.
 */
package org.apache.cassandra.metrics;

import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.clearspring.analytics.stream.StreamSummary;

import static java.util.concurrent.TimeUnit.MILLISECONDS;

/**
 * Find the most frequent sample. A sample adds to the sum of its key ie
 * add("x", 10); and add("x", 20); will result in "x" = 30 This uses StreamSummary to only store the
 * approximate cardinality (capacity) of keys. If the number of distinct keys exceed the capacity, the error of the
 * sample may increase depending on distribution of keys among the total set.
 * 
 * @param 
 */
public abstract class FrequencySampler extends Sampler
{
    private static final Logger logger = LoggerFactory.getLogger(FrequencySampler.class);
    private long endTimeNanos = -1;

    private StreamSummary summary;

    /**
     * Start to record samples
     *
     * @param capacity
     *            Number of sample items to keep in memory, the lower this is
     *            the less accurate results are. For best results use value
     *            close to cardinality, but understand the memory trade offs.
     */
    public synchronized void beginSampling(int capacity, int durationMillis)
    {
        if (endTimeNanos == -1 || clock.now() > endTimeNanos)
        {
            summary = new StreamSummary<>(capacity);
            endTimeNanos = clock.now() + MILLISECONDS.toNanos(durationMillis);
        }
        else
            throw new RuntimeException("Sampling already in progress");
    }

    /**
     * Call to stop collecting samples, and gather the results
     * @param count Number of most frequent items to return
     */
    public synchronized List> finishSampling(int count)
    {
        List> results = Collections.emptyList();
        if (endTimeNanos != -1)
        {
            endTimeNanos = -1;
            results = summary.topK(count)
                             .stream()
                             .map(c -> new Sample(c.getItem(), c.getCount(), c.getError()))
                             .collect(Collectors.toList());
        }
        return results;
    }

    protected synchronized void insert(final T item, final long value)
    {
        // samplerExecutor is single threaded but still need
        // synchronization against jmx calls to finishSampling
        if (value > 0 && clock.now() <= endTimeNanos)
        {
            try
            {
                summary.offer(item, (int) Math.min(value, Integer.MAX_VALUE));
            } catch (Exception e)
            {
                logger.trace("Failure to offer sample", e);
            }
        }
    }

    public boolean isEnabled()
    {
        return endTimeNanos != -1 && clock.now() <= endTimeNanos;
    }

}