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HdrHistogram supports the recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level.

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/**
 * Written by Gil Tene of Azul Systems, and released to the public domain,
 * as explained at http://creativecommons.org/publicdomain/zero/1.0/
 *
 * @author Gil Tene
 */

package org.HdrHistogram;

import java.util.Iterator;

/**
 * Used for iterating through all recorded histogram values using the finest granularity steps supported by the
 * underlying representation. The iteration steps through all non-zero recorded value counts, and terminates when
 * all recorded histogram values are exhausted.
 */

public class RecordedValuesIterator extends AbstractHistogramIterator implements Iterator {
    int visitedIndex;

    /**
     * Reset iterator for re-use in a fresh iteration over the same histogram data set.
     */
    public void reset() {
        reset(histogram);
    }

    private void reset(final AbstractHistogram histogram) {
        super.resetIterator(histogram);
        visitedIndex = -1;
    }

    /**
     * @param histogram The histogram this iterator will operate on
     */
    public RecordedValuesIterator(final AbstractHistogram histogram) {
        reset(histogram);
    }

    @Override
    void incrementIterationLevel() {
        visitedIndex = currentIndex;
    }

    @Override
    boolean reachedIterationLevel() {
        long currentCount = histogram.getCountAtIndex(currentIndex);
        return (currentCount != 0) && (visitedIndex != currentIndex);
    }
}