HdrHistogram 2.1.12 · org.HdrHistogram.ShortCountsHistogram

Modifier and Type	Field and Description
pack-priv short[]	counts
pack-priv int	normalizingIndexOffset
pack-priv long	totalCount

Constructor Summary

Access	Constructor and Description
public	ShortCountsHistogram(final int 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. numberOfSignificantValueDigits) Construct an auto-resizing ShortCountsHistogram with a lowest discernible value of 1 and an auto-adjusting highestTrackableValue.
public	ShortCountsHistogram(final long The highest value to be tracked by the histogram. Must be a positive integer that is >= 2. highestTrackableValue, final int 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. numberOfSignificantValueDigits) Construct a ShortCountsHistogram given the Highest value to be tracked and a number of significant decimal digits.
public	ShortCountsHistogram(final long The lowest value that can be tracked (distinguished from 0) by the histogram. Must be a positive integer that is >= 1. May be internally rounded down to nearest power of 2. lowestDiscernibleValue, final long The highest value to be tracked by the histogram. Must be a positive integer that is >= (2 * lowestDiscernibleValue). highestTrackableValue, final int 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. numberOfSignificantValueDigits) Construct a ShortCountsHistogram given the Lowest and Highest values to be tracked and a number of significant decimal digits.
public	ShortCountsHistogram(final AbstractHistogram The source histogram to duplicate source) 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)

Method Summary

Modifier and Type	Method and Description
pack-priv int	_getEstimatedFootprintInBytes() Implements abstract org.HdrHistogram.AbstractHistogram._getEstimatedFootprintInBytes.
pack-priv void	addToCountAtIndex(final int index, final long value) Implements abstract org.HdrHistogram.AbstractHistogram.addToCountAtIndex.
pack-priv void	addToTotalCount(long value) Implements abstract org.HdrHistogram.AbstractHistogram.addToTotalCount.
pack-priv void	clearCounts() Implements abstract org.HdrHistogram.AbstractHistogram.clearCounts.
public ShortCountsHistogram	copy() Implements abstract org.HdrHistogram.AbstractHistogram.copy. Create a copy of this histogram, complete with data and everything.
public ShortCountsHistogram	copyCorrectedForCoordinatedOmission(final long If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples expectedIntervalBetweenValueSamples) Implements abstract org.HdrHistogram.AbstractHistogram.copyCorrectedForCoordinatedOmission. Get a copy of this histogram, corrected for coordinated omission.
public static ShortCountsHistogram	Returns: The newly constructed histogram decodeFromByteBuffer(final ByteBuffer The buffer to decode from buffer, final long Force highestTrackableValue to be set at least this high minBarForHighestTrackableValue) Construct a new histogram by decoding it from a ByteBuffer.
public static ShortCountsHistogram	Returns: The newly constructed histogram decodeFromCompressedByteBuffer(final ByteBuffer The buffer to decode from buffer, final long Force highestTrackableValue to be set at least this high minBarForHighestTrackableValue) Hides org.HdrHistogram.EncodableHistogram.decodeFromCompressedByteBuffer. Construct a new histogram by decoding it from a compressed form in a ByteBuffer.
public static ShortCountsHistogram	Returns: A ShortCountsHistogram decoded from the string fromString(final String A string containing a base64 encoding of a compressed histogram base64CompressedHistogramString) Construct a new ShortCountsHistogram by decoding it from a String containing a base64 encoded compressed histogram representation.
pack-priv long	getCountAtIndex(final int index) Implements abstract org.HdrHistogram.AbstractHistogram.getCountAtIndex.
pack-priv long	getCountAtNormalizedIndex(final int index) Implements abstract org.HdrHistogram.AbstractHistogram.getCountAtNormalizedIndex.
pack-priv int	getNormalizingIndexOffset() Implements abstract org.HdrHistogram.AbstractHistogram.getNormalizingIndexOffset.
public long	getTotalCount() Implements abstract org.HdrHistogram.AbstractHistogram.getTotalCount. Get the total count of all recorded values in the histogram
pack-priv void	incrementCountAtIndex(final int index) Implements abstract org.HdrHistogram.AbstractHistogram.incrementCountAtIndex.
pack-priv void	incrementTotalCount() Implements abstract org.HdrHistogram.AbstractHistogram.incrementTotalCount.
private void	readObject(final ObjectInputStream o) Hides org.HdrHistogram.AbstractHistogram.readObject.
pack-priv void	resize(long newHighestTrackableValue) Implements abstract org.HdrHistogram.AbstractHistogram.resize.
pack-priv void	setCountAtIndex(int index, long value) Implements abstract org.HdrHistogram.AbstractHistogram.setCountAtIndex.
pack-priv void	setCountAtNormalizedIndex(int index, long value) Implements abstract org.HdrHistogram.AbstractHistogram.setCountAtNormalizedIndex.
pack-priv void	setIntegerToDoubleValueConversionRatio(double integerToDoubleValueConversionRatio) Implements abstract org.HdrHistogram.AbstractHistogramBase.setIntegerToDoubleValueConversionRatio.
pack-priv void	setNormalizingIndexOffset(int normalizingIndexOffset) Implements abstract org.HdrHistogram.AbstractHistogram.setNormalizingIndexOffset.
pack-priv void	setTotalCount(final long totalCount) Implements abstract org.HdrHistogram.AbstractHistogram.setTotalCount.
pack-priv void	shiftNormalizingIndexByOffset(int offsetToAdd, boolean lowestHalfBucketPopulated, double newIntegerToDoubleValueConversionRatio) Implements abstract org.HdrHistogram.AbstractHistogram.shiftNormalizingIndexByOffset.

Inherited from org.HdrHistogram.AbstractHistogram:: add addWhileCorrectingForCoordinatedOmission allValues copyInto copyIntoCorrectedForCoordinatedOmission countsArrayIndex decodeFromByteBuffer decodeFromCompressedByteBuffer determineArrayLengthNeeded encodeIntoByteBuffer encodeIntoCompressedByteBuffer encodeIntoCompressedByteBuffer equals establishInternalTackingValues establishInternalTackingValues establishSize fillBufferFromCountsArray getBucketIndex getBucketsNeededToCoverValue getCountAtValue getCountBetweenValues getEndTimeStamp getEstimatedFootprintInBytes getHighestTrackableValue getLengthForNumberOfBuckets getLowestDiscernibleValue getMaxValue getMaxValueAsDouble getMean getMinNonZeroValue getMinValue getNeededByteBufferCapacity getNeededByteBufferCapacity getNeededPayloadByteBufferCapacity getNeededV0PayloadByteBufferCapacity getNumberOfSignificantValueDigits getPercentileAtOrBelowValue getStartTimeStamp getStdDeviation getSubBucketIndex getTag getValueAtPercentile hashCode highestEquivalentValue isAutoResize linearBucketValues logarithmicBucketValues lowestEquivalentValue medianEquivalentValue nextNonEquivalentValue nonConcurrentNormalizingIndexShift normalizeIndex numberOfSubbuckets outputPercentileDistribution outputPercentileDistribution outputPercentileDistribution percentiles recordConvertedDoubleValue recordConvertedDoubleValueWithCount recordedValues recordValue recordValue recordValueWithCount recordValueWithExpectedInterval reset setAutoResize setEndTimeStamp setStartTimeStamp setTag shiftValuesLeft shiftValuesLeft shiftValuesRight shiftValuesRight sizeOfEquivalentValueRange subtract supportsAutoResize toString updateMinAndMax valueFromIndex valuesAreEquivalent

Field Detail

counts	back to summary
pack-priv short[] counts

normalizingIndexOffset	back to summary
pack-priv int normalizingIndexOffset

totalCount	back to summary
pack-priv long totalCount

Constructor Detail

ShortCountsHistogram	back to summary
public ShortCountsHistogram(final int numberOfSignificantValueDigits) Construct an auto-resizing ShortCountsHistogram 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). Parameters numberOfSignificantValueDigits:int 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.

ShortCountsHistogram

back to summary

public ShortCountsHistogram(final int numberOfSignificantValueDigits)

Construct an auto-resizing ShortCountsHistogram 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).

Parameters

numberOfSignificantValueDigits:int: 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.

ShortCountsHistogram	back to summary
public ShortCountsHistogram(final long highestTrackableValue, final int numberOfSignificantValueDigits) Construct a ShortCountsHistogram 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. Parameters highestTrackableValue:long The highest value to be tracked by the histogram. Must be a positive integer that is >= 2. numberOfSignificantValueDigits:int 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.

ShortCountsHistogram

back to summary

public ShortCountsHistogram(final long highestTrackableValue, final int numberOfSignificantValueDigits)

Construct a ShortCountsHistogram 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.

Parameters

highestTrackableValue:long: The highest value to be tracked by the histogram. Must be a positive integer that is >= 2.
numberOfSignificantValueDigits:int: 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.

ShortCountsHistogram	back to summary
public ShortCountsHistogram(final long lowestDiscernibleValue, final long highestTrackableValue, final int numberOfSignificantValueDigits) Construct a ShortCountsHistogram 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. Parameters lowestDiscernibleValue:long The lowest value that can be tracked (distinguished from 0) by the histogram. Must be a positive integer that is >= 1. May be internally rounded down to nearest power of 2. highestTrackableValue:long The highest value to be tracked by the histogram. Must be a positive integer that is >= (2 * lowestDiscernibleValue). numberOfSignificantValueDigits:int 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.

ShortCountsHistogram

back to summary

public ShortCountsHistogram(final long lowestDiscernibleValue, final long highestTrackableValue, final int numberOfSignificantValueDigits)

Construct a ShortCountsHistogram 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.

Parameters

lowestDiscernibleValue:long: The lowest value that can be tracked (distinguished from 0) by the histogram. Must be a positive integer that is >= 1. May be internally rounded down to nearest power of 2.
highestTrackableValue:long: The highest value to be tracked by the histogram. Must be a positive integer that is >= (2 * lowestDiscernibleValue).
numberOfSignificantValueDigits:int: 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.

ShortCountsHistogram	back to summary
public ShortCountsHistogram(final AbstractHistogram source) 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) Parameters source:AbstractHistogram The source histogram to duplicate

ShortCountsHistogram

back to summary

public ShortCountsHistogram(final AbstractHistogram source)

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)

Parameters

source:AbstractHistogram: The source histogram to duplicate

Method Detail

_getEstimatedFootprintInBytes	back to summary
pack-priv int _getEstimatedFootprintInBytes() Implements abstract org.HdrHistogram.AbstractHistogram._getEstimatedFootprintInBytes. Annotations @Override

_getEstimatedFootprintInBytes

back to summary

pack-priv int _getEstimatedFootprintInBytes()

Implements abstract org.HdrHistogram.AbstractHistogram._getEstimatedFootprintInBytes.

Annotations

@Override

addToCountAtIndex	back to summary
pack-priv void addToCountAtIndex(final int index, final long value) Implements abstract org.HdrHistogram.AbstractHistogram.addToCountAtIndex. Annotations @Override

addToCountAtIndex

back to summary

pack-priv void addToCountAtIndex(final int index, final long value)

Implements abstract org.HdrHistogram.AbstractHistogram.addToCountAtIndex.

Annotations

@Override

addToTotalCount	back to summary
pack-priv void addToTotalCount(long value) Implements abstract org.HdrHistogram.AbstractHistogram.addToTotalCount. Annotations @Override

addToTotalCount

back to summary

pack-priv void addToTotalCount(long value)

Implements abstract org.HdrHistogram.AbstractHistogram.addToTotalCount.

Annotations

@Override

clearCounts	back to summary
pack-priv void clearCounts() Implements abstract org.HdrHistogram.AbstractHistogram.clearCounts. Annotations @Override

clearCounts

back to summary

pack-priv void clearCounts()

Implements abstract org.HdrHistogram.AbstractHistogram.clearCounts.

Annotations

@Override

copy	back to summary
public ShortCountsHistogram copy() Implements abstract org.HdrHistogram.AbstractHistogram.copy. Doc from org.HdrHistogram.AbstractHistogram.copy. Create a copy of this histogram, complete with data and everything. Returns:ShortCountsHistogram A distinct copy of this histogram. Annotations @Override

copy

back to summary

public ShortCountsHistogram copy()

Implements abstract org.HdrHistogram.AbstractHistogram.copy.

Doc from org.HdrHistogram.AbstractHistogram.copy.

Create a copy of this histogram, complete with data and everything.

Returns:ShortCountsHistogram

A distinct copy of this histogram.

Annotations

@Override

copyCorrectedForCoordinatedOmission back to summary

copyCorrectedForCoordinatedOmission	back to summary
public ShortCountsHistogram copyCorrectedForCoordinatedOmission(final long expectedIntervalBetweenValueSamples) Implements abstract org.HdrHistogram.AbstractHistogram.copyCorrectedForCoordinatedOmission. Doc from org.HdrHistogram.AbstractHistogram.copyCorrectedForCoordinatedOmission. Get a copy of this histogram, corrected for coordinated omission. To compensate for the loss of sampled values when a recorded value is larger than the expected interval between value samples, the new histogram will include an auto-generated additional series of decreasingly-smaller (down to the expectedIntervalBetweenValueSamples) value records for each count found in the current histogram that is larger than the expectedIntervalBetweenValueSamples. Note This is a post-correction method, as opposed to the at-recording correction method provided by `recordValueWithExpectedInterval`. The two methods are mutually exclusive, and only one of the two should be be used on a given data set to correct for the same coordinated omission issue. by See notes in the description of the Histogram calls for an illustration of why this corrective behavior is important. Parameters expectedIntervalBetweenValueSamples:long If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples Returns:ShortCountsHistogram a copy of this histogram, corrected for coordinated omission. Annotations @Override

public ShortCountsHistogram copyCorrectedForCoordinatedOmission(final long expectedIntervalBetweenValueSamples)

Implements abstract org.HdrHistogram.AbstractHistogram.copyCorrectedForCoordinatedOmission.

Doc from org.HdrHistogram.AbstractHistogram.copyCorrectedForCoordinatedOmission.

Get a copy of this histogram, corrected for coordinated omission.

To compensate for the loss of sampled values when a recorded value is larger than the expected interval between value samples, the new histogram will include an auto-generated additional series of decreasingly-smaller (down to the expectedIntervalBetweenValueSamples) value records for each count found in the current histogram that is larger than the expectedIntervalBetweenValueSamples.

Note

This is a post-correction method, as opposed to the at-recording correction method provided by recordValueWithExpectedInterval. The two methods are mutually exclusive, and only one of the two should be be used on a given data set to correct for the same coordinated omission issue. by

See notes in the description of the Histogram calls for an illustration of why this corrective behavior is important.

Parameters

expectedIntervalBetweenValueSamples:long: If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples

Returns:ShortCountsHistogram

a copy of this histogram, corrected for coordinated omission.

Annotations

@Override

decodeFromByteBuffer	back to summary
public static ShortCountsHistogram decodeFromByteBuffer(final ByteBuffer buffer, final long minBarForHighestTrackableValue) Construct a new histogram by decoding it from a ByteBuffer. Parameters buffer:ByteBuffer The buffer to decode from minBarForHighestTrackableValue:long Force highestTrackableValue to be set at least this high Returns:ShortCountsHistogram The newly constructed histogram

decodeFromByteBuffer

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public static ShortCountsHistogram decodeFromByteBuffer(final ByteBuffer buffer, final long minBarForHighestTrackableValue)

Construct a new histogram by decoding it from a ByteBuffer.

Parameters

buffer:ByteBuffer: The buffer to decode from
minBarForHighestTrackableValue:long: Force highestTrackableValue to be set at least this high

Returns:ShortCountsHistogram

The newly constructed histogram

decodeFromCompressedByteBuffer	back to summary
public static ShortCountsHistogram decodeFromCompressedByteBuffer(final ByteBuffer buffer, final long minBarForHighestTrackableValue) throws DataFormatException Hides org.HdrHistogram.EncodableHistogram.decodeFromCompressedByteBuffer. Construct a new histogram by decoding it from a compressed form in a ByteBuffer. Parameters buffer:ByteBuffer The buffer to decode from minBarForHighestTrackableValue:long Force highestTrackableValue to be set at least this high Returns:ShortCountsHistogram The newly constructed histogram Exceptions DataFormatException: on error parsing/decompressing the buffer

decodeFromCompressedByteBuffer

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public static ShortCountsHistogram decodeFromCompressedByteBuffer(final ByteBuffer buffer, final long minBarForHighestTrackableValue) throws DataFormatException

Hides org.HdrHistogram.EncodableHistogram.decodeFromCompressedByteBuffer.

Construct a new histogram by decoding it from a compressed form in a ByteBuffer.

Parameters

buffer:ByteBuffer: The buffer to decode from
minBarForHighestTrackableValue:long: Force highestTrackableValue to be set at least this high

Returns:ShortCountsHistogram

The newly constructed histogram

Exceptions

DataFormatException:: on error parsing/decompressing the buffer

fromString	back to summary
public static ShortCountsHistogram fromString(final String base64CompressedHistogramString) throws DataFormatException Construct a new ShortCountsHistogram by decoding it from a String containing a base64 encoded compressed histogram representation. Parameters base64CompressedHistogramString:String A string containing a base64 encoding of a compressed histogram Returns:ShortCountsHistogram A ShortCountsHistogram decoded from the string Exceptions DataFormatException: on error parsing/decompressing the input

fromString

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public static ShortCountsHistogram fromString(final String base64CompressedHistogramString) throws DataFormatException

Construct a new ShortCountsHistogram by decoding it from a String containing a base64 encoded compressed histogram representation.

Parameters

base64CompressedHistogramString:String: A string containing a base64 encoding of a compressed histogram

Returns:ShortCountsHistogram

A ShortCountsHistogram decoded from the string

Exceptions

DataFormatException:: on error parsing/decompressing the input

getCountAtIndex	back to summary
pack-priv long getCountAtIndex(final int index) Implements abstract org.HdrHistogram.AbstractHistogram.getCountAtIndex. Annotations @Override

getCountAtIndex

back to summary

pack-priv long getCountAtIndex(final int index)

Implements abstract org.HdrHistogram.AbstractHistogram.getCountAtIndex.

Annotations

@Override

getCountAtNormalizedIndex	back to summary
pack-priv long getCountAtNormalizedIndex(final int index) Implements abstract org.HdrHistogram.AbstractHistogram.getCountAtNormalizedIndex. Annotations @Override

getCountAtNormalizedIndex

back to summary

pack-priv long getCountAtNormalizedIndex(final int index)

Implements abstract org.HdrHistogram.AbstractHistogram.getCountAtNormalizedIndex.

Annotations

@Override

getNormalizingIndexOffset	back to summary
pack-priv int getNormalizingIndexOffset() Implements abstract org.HdrHistogram.AbstractHistogram.getNormalizingIndexOffset. Annotations @Override

getNormalizingIndexOffset

back to summary

pack-priv int getNormalizingIndexOffset()

Implements abstract org.HdrHistogram.AbstractHistogram.getNormalizingIndexOffset.

Annotations

@Override

getTotalCount	back to summary
public long getTotalCount() Implements abstract org.HdrHistogram.AbstractHistogram.getTotalCount. Doc from org.HdrHistogram.AbstractHistogram.getTotalCount. Get the total count of all recorded values in the histogram Returns:long the total count of all recorded values in the histogram Annotations @Override

getTotalCount

back to summary

public long getTotalCount()

Implements abstract org.HdrHistogram.AbstractHistogram.getTotalCount.

Doc from org.HdrHistogram.AbstractHistogram.getTotalCount.

Get the total count of all recorded values in the histogram

Returns:long

the total count of all recorded values in the histogram

Annotations

@Override

incrementCountAtIndex	back to summary
pack-priv void incrementCountAtIndex(final int index) Implements abstract org.HdrHistogram.AbstractHistogram.incrementCountAtIndex. Annotations @Override

incrementCountAtIndex

back to summary

pack-priv void incrementCountAtIndex(final int index)

Implements abstract org.HdrHistogram.AbstractHistogram.incrementCountAtIndex.

Annotations

@Override

incrementTotalCount	back to summary
pack-priv void incrementTotalCount() Implements abstract org.HdrHistogram.AbstractHistogram.incrementTotalCount. Annotations @Override

incrementTotalCount

back to summary

pack-priv void incrementTotalCount()

Implements abstract org.HdrHistogram.AbstractHistogram.incrementTotalCount.

Annotations

@Override

readObject	back to summary
private void readObject(final ObjectInputStream o) throws IOException, ClassNotFoundException Hides org.HdrHistogram.AbstractHistogram.readObject.

resize	back to summary
pack-priv void resize(long newHighestTrackableValue) Implements abstract org.HdrHistogram.AbstractHistogram.resize. Annotations @Override

resize

back to summary

pack-priv void resize(long newHighestTrackableValue)

Implements abstract org.HdrHistogram.AbstractHistogram.resize.

Annotations

@Override

setCountAtIndex	back to summary
pack-priv void setCountAtIndex(int index, long value) Implements abstract org.HdrHistogram.AbstractHistogram.setCountAtIndex. Annotations @Override

setCountAtIndex

back to summary

pack-priv void setCountAtIndex(int index, long value)

Implements abstract org.HdrHistogram.AbstractHistogram.setCountAtIndex.

Annotations

@Override

setCountAtNormalizedIndex	back to summary
pack-priv void setCountAtNormalizedIndex(int index, long value) Implements abstract org.HdrHistogram.AbstractHistogram.setCountAtNormalizedIndex. Annotations @Override

setCountAtNormalizedIndex

back to summary

pack-priv void setCountAtNormalizedIndex(int index, long value)

Implements abstract org.HdrHistogram.AbstractHistogram.setCountAtNormalizedIndex.

Annotations

@Override

setIntegerToDoubleValueConversionRatio	back to summary
pack-priv void setIntegerToDoubleValueConversionRatio(double integerToDoubleValueConversionRatio) Implements abstract org.HdrHistogram.AbstractHistogramBase.setIntegerToDoubleValueConversionRatio. Annotations @Override

setIntegerToDoubleValueConversionRatio

back to summary

pack-priv void setIntegerToDoubleValueConversionRatio(double integerToDoubleValueConversionRatio)

Implements abstract org.HdrHistogram.AbstractHistogramBase.setIntegerToDoubleValueConversionRatio.

Annotations

@Override

setNormalizingIndexOffset	back to summary
pack-priv void setNormalizingIndexOffset(int normalizingIndexOffset) Implements abstract org.HdrHistogram.AbstractHistogram.setNormalizingIndexOffset. Annotations @Override

setNormalizingIndexOffset

back to summary

pack-priv void setNormalizingIndexOffset(int normalizingIndexOffset)

Implements abstract org.HdrHistogram.AbstractHistogram.setNormalizingIndexOffset.

Annotations

@Override

setTotalCount	back to summary
pack-priv void setTotalCount(final long totalCount) Implements abstract org.HdrHistogram.AbstractHistogram.setTotalCount. Annotations @Override

setTotalCount

back to summary

pack-priv void setTotalCount(final long totalCount)

Implements abstract org.HdrHistogram.AbstractHistogram.setTotalCount.

Annotations

@Override

shiftNormalizingIndexByOffset	back to summary
pack-priv void shiftNormalizingIndexByOffset(int offsetToAdd, boolean lowestHalfBucketPopulated, double newIntegerToDoubleValueConversionRatio) Implements abstract org.HdrHistogram.AbstractHistogram.shiftNormalizingIndexByOffset. Annotations @Override

shiftNormalizingIndexByOffset

back to summary

pack-priv void shiftNormalizingIndexByOffset(int offsetToAdd, boolean lowestHalfBucketPopulated, double newIntegerToDoubleValueConversionRatio)

Implements abstract org.HdrHistogram.AbstractHistogram.shiftNormalizingIndexByOffset.

Annotations

@Override

public Class ShortCountsHistogram

A High Dynamic Range (HDR) Histogram using a `short` count type

Field Summary

Constructor Summary

Method Summary

Field Detail

Constructor Detail

Method Detail

public Class ShortCountsHistogram

A High Dynamic Range (HDR) Histogram using a short count type

Field Summary

Constructor Summary

Method Summary

Field Detail

Constructor Detail

Method Detail

A High Dynamic Range (HDR) Histogram using a `short` count type