/**
* 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_voltpatches;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.nio.ByteBuffer;
import java.nio.LongBuffer;
import java.util.concurrent.atomic.*;
import java.util.zip.DataFormatException;
/**
* <h3>A High Dynamic Range (HDR) Histogram using atomic <b><code>long</code></b> count type </h3>
* An AtomicHistogram guarantees lossless recording of values into the histogram even when the
* histogram is updated by multiple threads. It is important to note though that this lossless
* recording capability is the only thread-safe behavior provided by AtomicHistogram, and that it
* is not otherwise synchronized. Specifically, AtomicHistogram does not support auto-resizing,
* does not support value shift operations, and provides no implicit synchronization
* that would prevent the contents of the histogram from changing during iterations, copies, or
* addition operations on the histogram. Callers wishing to make potentially concurrent,
* multi-threaded updates that would safely work in the presence of queries, copies, or additions
* of histogram objects should either take care to externally synchronize and/or order their access,
* use the {@link org.HdrHistogram_voltpatches.SynchronizedHistogram} variant, or (recommended) use the
* {@link Recorder} class, which is intended for this purpose.
* <p>
* See package description for {@link org.HdrHistogram} for details.
*/
public class AtomicHistogram extends Histogram {
static final AtomicLongFieldUpdater<AtomicHistogram> totalCountUpdater =
AtomicLongFieldUpdater.newUpdater(AtomicHistogram.class, "totalCount");
volatile long totalCount;
volatile AtomicLongArray counts;
@Override
long getCountAtIndex(final int index) {
return counts.get(index);
}
@Override
long getCountAtNormalizedIndex(final int index) {
return counts.get(index);
}
@Override
void incrementCountAtIndex(final int index) {
counts.getAndIncrement(index);
}
@Override
void addToCountAtIndex(final int index, final long value) {
counts.getAndAdd(index, value);
}
@Override
void setCountAtIndex(int index, long value) {
counts.lazySet(index, value);
}
@Override
void setCountAtNormalizedIndex(int index, long value) {
counts.lazySet(index, value);
}
@Override
int getNormalizingIndexOffset() {
return 0;
}
@Override
void setNormalizingIndexOffset(int normalizingIndexOffset) {
if (normalizingIndexOffset != 0) {
throw new IllegalStateException(
"AtomicHistogram does not support non-zero normalizing index settings." +
" Use ConcurrentHistogram Instead.");
}
}
@Override
void shiftNormalizingIndexByOffset(int offsetToAdd, boolean lowestHalfBucketPopulated) {
throw new IllegalStateException(
"AtomicHistogram does not support Shifting operations." +
" Use ConcurrentHistogram Instead.");
}
@Override
void resize(long newHighestTrackableValue) {
throw new IllegalStateException(
"AtomicHistogram does not support resizing operations." +
" Use ConcurrentHistogram Instead.");
}
@Override
public void setAutoResize(boolean autoResize) {
throw new IllegalStateException(
"AtomicHistogram does not support AutoResize operation." +
" Use ConcurrentHistogram Instead.");
}
@Override
void clearCounts() {
for (int i = 0; i < counts.length(); i++) {
counts.lazySet(i, 0);
}
totalCountUpdater.set(this, 0);
}
@Override
public AtomicHistogram copy() {
AtomicHistogram copy = new AtomicHistogram(this);
copy.add(this);
return copy;
}
@Override
public AtomicHistogram copyCorrectedForCoordinatedOmission(final long expectedIntervalBetweenValueSamples) {
AtomicHistogram toHistogram = new AtomicHistogram(this);
toHistogram.addWhileCorrectingForCoordinatedOmission(this, expectedIntervalBetweenValueSamples);
return toHistogram;
}
@Override
public long getTotalCount() {
return totalCountUpdater.get(this);
}
@Override
void setTotalCount(final long totalCount) {
totalCountUpdater.set(this, totalCount);
}
@Override
void incrementTotalCount() {
totalCountUpdater.incrementAndGet(this);
}
@Override
void addToTotalCount(final long value) {
totalCountUpdater.addAndGet(this, value);
}
@Override
int _getEstimatedFootprintInBytes() {
return (512 + (8 * counts.length()));
}
/**
* Construct a AtomicHistogram given the Highest value to be tracked and a number of significant decimal digits. The
* histogram will be constructed to implicitly track (distinguish from 0) values as low as 1.
*
* @param highestTrackableValue The highest value to be tracked by the histogram. Must be a positive
* integer that is {@literal >=} 2.
* @param numberOfSignificantValueDigits Specifies the precision to use. This is the number of significant
* decimal digits to which the histogram will maintain value resolution
* and separation. Must be a non-negative integer between 0 and 5.
*/
public AtomicHistogram(final long highestTrackableValue, final int numberOfSignificantValueDigits) {
this(1, highestTrackableValue, numberOfSignificantValueDigits);
}
/**
* Construct a AtomicHistogram given the Lowest and Highest values to be tracked and a number of significant
* decimal digits. Providing a lowestDiscernibleValue is useful is situations where the units used
* for the histogram's values are much smaller that the minimal accuracy required. E.g. when tracking
* time values stated in nanosecond units, where the minimal accuracy required is a microsecond, the
* proper value for lowestDiscernibleValue would be 1000.
*
* @param lowestDiscernibleValue The lowest value that can be tracked (distinguished from 0) by the histogram.
* Must be a positive integer that is {@literal >=} 1. May be internally rounded
* down to nearest power of 2.
* @param highestTrackableValue The highest value to be tracked by the histogram. Must be a positive
* integer that is {@literal >=} (2 * lowestDiscernibleValue).
* @param numberOfSignificantValueDigits Specifies the precision to use. This is the number of significant
* decimal digits to which the histogram will maintain value resolution
* and separation. Must be a non-negative integer between 0 and 5.
*/
public AtomicHistogram(final long lowestDiscernibleValue, final long highestTrackableValue, final int numberOfSignificantValueDigits) {
super(lowestDiscernibleValue, highestTrackableValue, numberOfSignificantValueDigits, false);
counts = new AtomicLongArray(countsArrayLength);
wordSizeInBytes = 8;
}
/**
* Construct a histogram with the same range settings as a given source histogram,
* duplicating the source's start/end timestamps (but NOT it's contents)
* @param source The source histogram to duplicate
*/
public AtomicHistogram(final AbstractHistogram source) {
super(source, false);
counts = new AtomicLongArray(countsArrayLength);
wordSizeInBytes = 8;
}
/**
* Construct a new histogram by decoding it from a ByteBuffer.
* @param buffer The buffer to decode from
* @param minBarForHighestTrackableValue Force highestTrackableValue to be set at least this high
* @return The newly constructed histogram
*/
public static AtomicHistogram decodeFromByteBuffer(final ByteBuffer buffer,
final long minBarForHighestTrackableValue) {
return (AtomicHistogram) decodeFromByteBuffer(buffer, AtomicHistogram.class,
minBarForHighestTrackableValue);
}
/**
* Construct a new histogram by decoding it from a compressed form in a ByteBuffer.
* @param buffer The buffer to decode from
* @param minBarForHighestTrackableValue Force highestTrackableValue to be set at least this high
* @return The newly constructed histogram
* @throws DataFormatException on error parsing/decompressing the buffer
*/
public static AtomicHistogram decodeFromCompressedByteBuffer(final ByteBuffer buffer,
final long minBarForHighestTrackableValue) throws DataFormatException {
return decodeFromCompressedByteBuffer(buffer, AtomicHistogram.class, minBarForHighestTrackableValue);
}
private void readObject(final ObjectInputStream o)
throws IOException, ClassNotFoundException {
o.defaultReadObject();
}
@Override
synchronized void fillCountsArrayFromBuffer(final ByteBuffer buffer, final int length) {
LongBuffer logbuffer = buffer.asLongBuffer();
for (int i = 0; i < length; i++) {
counts.lazySet(i, logbuffer.get());
}
}
}