com.couchbase.client.core.deps.org.HdrHistogram.PackedHistogram Maven / Gradle / Ivy
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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 com.couchbase.client.core.deps.org.HdrHistogram;
import com.couchbase.client.core.deps.org.HdrHistogram.packedarray.PackedLongArray;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.nio.ByteBuffer;
import java.util.zip.DataFormatException;
/**
* A High Dynamic Range (HDR) Histogram that uses a packed internal representation
*
* {@link PackedHistogram} 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.
*
* {@link PackedHistogram} tracks value counts in a packed internal representation optimized
* for typical histogram recoded values are sparse in the value range and tend to be incremented in small unit counts.
* This packed representation tends to require significantly smaller amounts of stoarge when compared to unpacked
* representations, but can incur additional recording cost due to resizing and repacking operations that may
* occur as previously unrecorded values are encountered.
*
* For example, a {@link PackedHistogram} could be configured to track the counts of observed integer values between 0 and
* 3,600,000,000,000 while maintaining a value precision of 3 significant digits across that range. Value quantization
* within the range will thus be no larger than 1/1,000th (or 0.1%) of any value. This example Histogram could
* be used to track and analyze the counts of observed response times ranging between 1 nanosecond and 1 hour
* in magnitude, while maintaining a value resolution of 1 microsecond up to 1 millisecond, a resolution of
* 1 millisecond (or better) up to one second, and a resolution of 1 second (or better) up to 1,000 seconds. At its
* maximum tracked value (1 hour), it would still maintain a resolution of 3.6 seconds (or better).
*
* Auto-resizing: When constructed with no specified value range range (or when auto-resize is turned on with {@link
* Histogram#setAutoResize}) a {@link PackedHistogram} will auto-resize its dynamic range to include recorded values as
* they are encountered. Note that recording calls that cause auto-resizing may take longer to execute, as resizing
* incurs allocation and copying of internal data structures.
*
* See package description for {@link com.couchbase.client.core.deps.org.HdrHistogram} for details.
*/
public class PackedHistogram extends Histogram {
private PackedLongArray packedCounts;
@Override
long getCountAtIndex(final int index) {
return getCountAtNormalizedIndex(normalizeIndex(index, normalizingIndexOffset, countsArrayLength));
}
@Override
long getCountAtNormalizedIndex(final int index) {
long count = packedCounts.get(index);
return count;
}
@Override
void incrementCountAtIndex(final int index) {
packedCounts.increment(normalizeIndex(index, normalizingIndexOffset, countsArrayLength));
}
@Override
void addToCountAtIndex(final int index, final long value) {
packedCounts.add(normalizeIndex(index, normalizingIndexOffset, countsArrayLength), value);
}
@Override
void setCountAtIndex(int index, long value) {
setCountAtNormalizedIndex(normalizeIndex(index, normalizingIndexOffset, countsArrayLength), value);
}
@Override
void setCountAtNormalizedIndex(int index, long value) {
packedCounts.set(index, value);
}
@Override
void clearCounts() {
packedCounts.clear();
packedCounts.setVirtualLength(countsArrayLength);
totalCount = 0;
}
@Override
public PackedHistogram copy() {
PackedHistogram copy = new PackedHistogram(this);
copy.add(this);
return copy;
}
@Override
public PackedHistogram copyCorrectedForCoordinatedOmission(final long expectedIntervalBetweenValueSamples) {
PackedHistogram toHistogram = new PackedHistogram(this);
toHistogram.addWhileCorrectingForCoordinatedOmission(this, expectedIntervalBetweenValueSamples);
return toHistogram;
}
@Override
void resize(long newHighestTrackableValue) {
int oldNormalizedZeroIndex = normalizeIndex(0, normalizingIndexOffset, countsArrayLength);
int oldCountsArrayLength = countsArrayLength;
establishSize(newHighestTrackableValue);
if (oldNormalizedZeroIndex != 0) {
// We need to shift the stuff from the zero index and up to the end of the array:
// When things are shifted in a packed array its not simple to identify the region shifed,
// so re-record everything from the old normalized indexes to the new normalized indexes:
PackedLongArray newPackedCounts = new PackedLongArray(countsArrayLength, packedCounts.getPhysicalLength());
// Copy everything up to the oldNormalizedZeroIndex in place:
for (int fromIndex = 0; fromIndex < oldNormalizedZeroIndex; fromIndex++) {
long value = packedCounts.get(fromIndex);
if (value != 0) {
newPackedCounts.set(fromIndex, value);
}
}
// Copy everything from the oldNormalizedZeroIndex to the end with an index delta shift:
int countsDelta = countsArrayLength - oldCountsArrayLength;
for (int fromIndex = oldNormalizedZeroIndex; fromIndex < oldCountsArrayLength; fromIndex++) {
long value = packedCounts.get(fromIndex);
if (value != 0) {
int toIndex = fromIndex + countsDelta;
newPackedCounts.set(toIndex, value);
}
}
// All unrecorded values are implicitly zero in the packed array
packedCounts = newPackedCounts;
} else {
packedCounts.setVirtualLength(countsArrayLength);
}
}
@Override
int _getEstimatedFootprintInBytes() {
return 192 + (8 * packedCounts.getPhysicalLength());
}
/**
* Construct an auto-resizing PackedHistogram with a lowest discernible value of 1 and an auto-adjusting
* highestTrackableValue. Can auto-resize up to track values up to (Long.MAX_VALUE / 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 PackedHistogram(final int numberOfSignificantValueDigits) {
this(1, 2, numberOfSignificantValueDigits);
setAutoResize(true);
}
/**
* Construct a PackedHistogram 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 PackedHistogram(final long highestTrackableValue, final int numberOfSignificantValueDigits) {
this(1, highestTrackableValue, numberOfSignificantValueDigits);
}
/**
* Construct a PackedHistogram 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 PackedHistogram(final long lowestDiscernibleValue, final long highestTrackableValue, final int numberOfSignificantValueDigits) {
super(lowestDiscernibleValue, highestTrackableValue, numberOfSignificantValueDigits, false);
packedCounts = new PackedLongArray(countsArrayLength);
wordSizeInBytes = 8;
}
/**
* Construct a PackedHistogram 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 PackedHistogram(final AbstractHistogram source) {
super(source, false);
packedCounts = new PackedLongArray(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 PackedHistogram decodeFromByteBuffer(final ByteBuffer buffer,
final long minBarForHighestTrackableValue) {
return (PackedHistogram) decodeFromByteBuffer(buffer, PackedHistogram.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 PackedHistogram decodeFromCompressedByteBuffer(final ByteBuffer buffer,
final long minBarForHighestTrackableValue) throws DataFormatException {
return decodeFromCompressedByteBuffer(buffer, PackedHistogram.class, minBarForHighestTrackableValue);
}
private void readObject(final ObjectInputStream o)
throws IOException, ClassNotFoundException {
o.defaultReadObject();
}
}