Class SynchronizedHistogram
- All Implemented Interfaces:
Serializable,ValueRecorder
An integer values High Dynamic Range (HDR) Histogram that is synchronized as a whole
A SynchronizedHistogram is a variant of Histogram that is
synchronized as a whole, such that queries, copying, and addition operations are atomic with relation to
modification on the SynchronizedHistogram, and such that external accessors (e.g. iterations on the
histogram data) that synchronize on the SynchronizedHistogram instance can safely assume that no
modifications to the histogram data occur within their synchronized block.
It is important to note that synchronization can result in blocking recoding calls. If non-blocking recoding
operations are required, consider using ConcurrentHistogram, AtomicHistogram, or (recommended)
Recorder or SingleWriterRecorder which were intended for concurrent operations.
See package description for org.HdrHistogram and Histogram for more details.
- See Also:
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Nested Class Summary
Nested classes/interfaces inherited from class org.HdrHistogram.AbstractHistogram
AbstractHistogram.AllValues, AbstractHistogram.LinearBucketValues, AbstractHistogram.LogarithmicBucketValues, AbstractHistogram.Percentiles, AbstractHistogram.RecordedValues -
Constructor Summary
ConstructorsConstructorDescriptionSynchronizedHistogram(int numberOfSignificantValueDigits) Construct an auto-resizing SynchronizedHistogram with a lowest discernible value of 1 and an auto-adjusting highestTrackableValue.SynchronizedHistogram(long highestTrackableValue, int numberOfSignificantValueDigits) Construct a SynchronizedHistogram given the Highest value to be tracked and a number of significant decimal digits.SynchronizedHistogram(long lowestDiscernibleValue, long highestTrackableValue, int numberOfSignificantValueDigits) Construct a SynchronizedHistogram given the Lowest and Highest values to be tracked and a number of significant decimal digits.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 TypeMethodDescriptionvoidadd(AbstractHistogram otherHistogram) Add the contents of another histogram to this one.voidaddWhileCorrectingForCoordinatedOmission(AbstractHistogram fromHistogram, long expectedIntervalBetweenValueSamples) Add the contents of another histogram to this one, while correcting the incoming data for coordinated omission.Provide a means of iterating through all histogram values using the finest granularity steps supported by the underlying representation.copy()Create a copy of this histogram, complete with data and everything.copyCorrectedForCoordinatedOmission(long expectedIntervalBetweenValueSamples) Get a copy of this histogram, corrected for coordinated omission.voidcopyInto(AbstractHistogram targetHistogram) Copy this histogram into the target histogram, overwriting it's contents.voidcopyIntoCorrectedForCoordinatedOmission(AbstractHistogram targetHistogram, long expectedIntervalBetweenValueSamples) Copy this histogram, corrected for coordinated omission, into the target histogram, overwriting it's contents.static SynchronizedHistogramdecodeFromByteBuffer(ByteBuffer buffer, long minBarForHighestTrackableValue) Construct a new histogram by decoding it from a ByteBuffer.static SynchronizedHistogramdecodeFromCompressedByteBuffer(ByteBuffer buffer, long minBarForHighestTrackableValue) Construct a new histogram by decoding it from a compressed form in a ByteBuffer.intencodeIntoByteBuffer(ByteBuffer buffer) Encode this histogram into a ByteBufferintencodeIntoCompressedByteBuffer(ByteBuffer targetBuffer) Encode this histogram in compressed form into a byte arrayintencodeIntoCompressedByteBuffer(ByteBuffer targetBuffer, int compressionLevel) Encode this histogram in compressed form into a byte arraybooleanDetermine if this histogram is equivalent to another.static SynchronizedHistogramfromString(String base64CompressedHistogramString) Construct a new SynchronizedHistogram by decoding it from a String containing a base64 encoded compressed histogram representation.longgetCountAtValue(long value) Get the count of recorded values at a specific value (to within the histogram resolution at the value level).longgetCountBetweenValues(long lowValue, long highValue) Get the count of recorded values within a range of value levels (inclusive to within the histogram's resolution).longget the end time stamp [optionally] stored with this histogramintProvide a (conservatively high) estimate of the Histogram's total footprint in byteslongget the configured highestTrackableValuelongget the configured lowestDiscernibleValuelongGet the highest recorded value level in the histogram.doubleGet the highest recorded value level in the histogram as a doubledoublegetMean()Get the computed mean value of all recorded values in the histogramlongGet the lowest recorded non-zero value level in the histogram.longGet the lowest recorded value level in the histogram.intGet the capacity needed to encode this histogram into a ByteBufferintget the configured numberOfSignificantValueDigitsdoublegetPercentileAtOrBelowValue(long value) Get the percentile at a given value.longget the start time stamp [optionally] stored with this histogramdoubleGet the computed standard deviation of all recorded values in the histogramlongGet the total count of all recorded values in the histogramlonggetValueAtPercentile(double percentile) Get the value at a given percentile.inthashCode()longhighestEquivalentValue(long value) Get the highest value that is equivalent to the given value within the histogram's resolution.booleanIndicate whether or not the histogram is set to auto-resize and auto-adjust it's highestTrackableValuelinearBucketValues(long valueUnitsPerBucket) Provide a means of iterating through histogram values using linear steps.logarithmicBucketValues(long valueUnitsInFirstBucket, double logBase) Provide a means of iterating through histogram values at logarithmically increasing levels.longlowestEquivalentValue(long value) Get the lowest value that is equivalent to the given value within the histogram's resolution.longmedianEquivalentValue(long value) Get a value that lies in the middle (rounded up) of the range of values equivalent the given value.longnextNonEquivalentValue(long value) Get the next value that is not equivalent to the given value within the histogram's resolution.voidoutputPercentileDistribution(PrintStream printStream, int percentileTicksPerHalfDistance, Double outputValueUnitScalingRatio) Produce textual representation of the value distribution of histogram data by percentile.voidoutputPercentileDistribution(PrintStream printStream, int percentileTicksPerHalfDistance, Double outputValueUnitScalingRatio, boolean useCsvFormat) Produce textual representation of the value distribution of histogram data by percentile.voidoutputPercentileDistribution(PrintStream printStream, Double outputValueUnitScalingRatio) Produce textual representation of the value distribution of histogram data by percentile.percentiles(int percentileTicksPerHalfDistance) Provide a means of iterating through histogram values according to percentile levels.Provide a means of iterating through all recorded histogram values using the finest granularity steps supported by the underlying representation.voidrecordValue(long value) Record a value in the histogramvoidrecordValue(long value, long expectedIntervalBetweenValueSamples) Deprecated.voidrecordValueWithCount(long value, long count) Record a value in the histogram (adding to the value's current count)voidrecordValueWithExpectedInterval(long value, long expectedIntervalBetweenValueSamples) Record a value in the histogram.voidreset()Reset the contents and stats of this histogramvoidsetAutoResize(boolean autoResize) Control whether or not the histogram can auto-resize and auto-adjust it's highestTrackableValuevoidsetEndTimeStamp(long timeStampMsec) Set the end time stamp value associated with this histogram to a given value.voidsetStartTimeStamp(long timeStampMsec) Set the start time stamp value associated with this histogram to a given value.voidshiftValuesLeft(int numberOfBinaryOrdersOfMagnitude) Shift recorded values to the left (the equivalent of a << shift operation on all recorded values).voidshiftValuesRight(int numberOfBinaryOrdersOfMagnitude) Shift recorded values to the right (the equivalent of a >> shift operation on all recorded values).longsizeOfEquivalentValueRange(long value) Get the size (in value units) of the range of values that are equivalent to the given value within the histogram's resolution.voidsubtract(AbstractHistogram otherHistogram) Subtract the contents of another histogram from this one.booleanvaluesAreEquivalent(long value1, long value2) Determine if two values are equivalent with the histogram's resolution.Methods inherited from class org.HdrHistogram.AbstractHistogram
getTag, recordConvertedDoubleValueWithCount, setTag, supportsAutoResize, toString
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Constructor Details
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SynchronizedHistogram
public SynchronizedHistogram(int numberOfSignificantValueDigits) Construct an auto-resizing SynchronizedHistogram 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- 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.
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SynchronizedHistogram
public SynchronizedHistogram(long highestTrackableValue, int numberOfSignificantValueDigits) Construct a SynchronizedHistogram 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- The highest value to be tracked by the histogram. Must be a positive integer that is >= 2.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.
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SynchronizedHistogram
public SynchronizedHistogram(long lowestDiscernibleValue, long highestTrackableValue, int numberOfSignificantValueDigits) Construct a SynchronizedHistogram 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- 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- The highest value to be tracked by the histogram. Must be a positive integer that is >= (2 * lowestDiscernibleValue).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.
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SynchronizedHistogram
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- The source histogram to duplicate
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Method Details
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decodeFromByteBuffer
public static SynchronizedHistogram decodeFromByteBuffer(ByteBuffer buffer, long minBarForHighestTrackableValue) Construct a new histogram by decoding it from a ByteBuffer.- Parameters:
buffer- The buffer to decode fromminBarForHighestTrackableValue- Force highestTrackableValue to be set at least this high- Returns:
- The newly constructed histogram
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decodeFromCompressedByteBuffer
public static SynchronizedHistogram decodeFromCompressedByteBuffer(ByteBuffer buffer, long minBarForHighestTrackableValue) throws DataFormatException Construct a new histogram by decoding it from a compressed form in a ByteBuffer.- Parameters:
buffer- The buffer to decode fromminBarForHighestTrackableValue- Force highestTrackableValue to be set at least this high- Returns:
- The newly constructed histogram
- Throws:
DataFormatException- on error parsing/decompressing the buffer
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fromString
public static SynchronizedHistogram fromString(String base64CompressedHistogramString) throws DataFormatException Construct a new SynchronizedHistogram by decoding it from a String containing a base64 encoded compressed histogram representation.- Parameters:
base64CompressedHistogramString- A string containing a base64 encoding of a compressed histogram- Returns:
- A SynchronizedHistogram decoded from the string
- Throws:
DataFormatException- on error parsing/decompressing the input
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getTotalCount
public long getTotalCount()Description copied from class:AbstractHistogramGet the total count of all recorded values in the histogram- Overrides:
getTotalCountin classHistogram- Returns:
- the total count of all recorded values in the histogram
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isAutoResize
public boolean isAutoResize()Description copied from class:AbstractHistogramIndicate whether or not the histogram is set to auto-resize and auto-adjust it's highestTrackableValue- Overrides:
isAutoResizein classAbstractHistogram- Returns:
- autoResize setting
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setAutoResize
public void setAutoResize(boolean autoResize) Description copied from class:AbstractHistogramControl whether or not the histogram can auto-resize and auto-adjust it's highestTrackableValue- Overrides:
setAutoResizein classAbstractHistogram- Parameters:
autoResize- autoResize setting
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recordValue
Description copied from class:AbstractHistogramRecord a value in the histogram- Specified by:
recordValuein interfaceValueRecorder- Overrides:
recordValuein classAbstractHistogram- Parameters:
value- The value to be recorded- Throws:
ArrayIndexOutOfBoundsException- (may throw) if value is exceeds highestTrackableValue
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recordValueWithCount
Description copied from class:AbstractHistogramRecord a value in the histogram (adding to the value's current count)- Specified by:
recordValueWithCountin interfaceValueRecorder- Overrides:
recordValueWithCountin classAbstractHistogram- Parameters:
value- The value to be recordedcount- The number of occurrences of this value to record- Throws:
ArrayIndexOutOfBoundsException- (may throw) if value is exceeds highestTrackableValue
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recordValueWithExpectedInterval
public void recordValueWithExpectedInterval(long value, long expectedIntervalBetweenValueSamples) throws ArrayIndexOutOfBoundsException Description copied from class:AbstractHistogramRecord a value in the histogram.To compensate for the loss of sampled values when a recorded value is larger than the expected interval between value samples, Histogram will auto-generate an additional series of decreasingly-smaller (down to the expectedIntervalBetweenValueSamples) value records.
Note: This is a at-recording correction method, as opposed to the post-recording correction method provided by
AbstractHistogram.copyCorrectedForCoordinatedOmission(long). 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.See notes in the description of the Histogram calls for an illustration of why this corrective behavior is important.
- Specified by:
recordValueWithExpectedIntervalin interfaceValueRecorder- Overrides:
recordValueWithExpectedIntervalin classAbstractHistogram- Parameters:
value- The value to recordexpectedIntervalBetweenValueSamples- If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples- Throws:
ArrayIndexOutOfBoundsException- (may throw) if value is exceeds highestTrackableValue
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recordValue
public void recordValue(long value, long expectedIntervalBetweenValueSamples) throws ArrayIndexOutOfBoundsException Deprecated.- Overrides:
recordValuein classAbstractHistogram- Parameters:
value- The value to recordexpectedIntervalBetweenValueSamples- If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples- Throws:
ArrayIndexOutOfBoundsException- (may throw) if value is exceeds highestTrackableValue
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reset
public void reset()Description copied from class:AbstractHistogramReset the contents and stats of this histogram- Specified by:
resetin interfaceValueRecorder- Overrides:
resetin classAbstractHistogram
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copy
Description copied from class:AbstractHistogramCreate a copy of this histogram, complete with data and everything. -
copyCorrectedForCoordinatedOmission
public SynchronizedHistogram copyCorrectedForCoordinatedOmission(long expectedIntervalBetweenValueSamples) Description copied from class:AbstractHistogramGet 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. bySee notes in the description of the Histogram calls for an illustration of why this corrective behavior is important.
- Overrides:
copyCorrectedForCoordinatedOmissionin classHistogram- Parameters:
expectedIntervalBetweenValueSamples- If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples- Returns:
- a copy of this histogram, corrected for coordinated omission.
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copyInto
Description copied from class:AbstractHistogramCopy this histogram into the target histogram, overwriting it's contents.- Overrides:
copyIntoin classAbstractHistogram- Parameters:
targetHistogram- the histogram to copy into
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copyIntoCorrectedForCoordinatedOmission
public void copyIntoCorrectedForCoordinatedOmission(AbstractHistogram targetHistogram, long expectedIntervalBetweenValueSamples) Description copied from class:AbstractHistogramCopy this histogram, corrected for coordinated omission, into the target histogram, overwriting it's contents. (seeAbstractHistogram.copyCorrectedForCoordinatedOmission(long)for more detailed explanation about how correction is applied)- Overrides:
copyIntoCorrectedForCoordinatedOmissionin classAbstractHistogram- Parameters:
targetHistogram- the histogram to copy intoexpectedIntervalBetweenValueSamples- If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples
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add
Description copied from class:AbstractHistogramAdd the contents of another histogram to this one.As part of adding the contents, the start/end timestamp range of this histogram will be extended to include the start/end timestamp range of the other histogram.
- Overrides:
addin classAbstractHistogram- Parameters:
otherHistogram- The other histogram.
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subtract
public void subtract(AbstractHistogram otherHistogram) throws ArrayIndexOutOfBoundsException, IllegalArgumentException Description copied from class:AbstractHistogramSubtract the contents of another histogram from this one.The start/end timestamps of this histogram will remain unchanged.
- Overrides:
subtractin classAbstractHistogram- Parameters:
otherHistogram- The other histogram.- Throws:
ArrayIndexOutOfBoundsException- (may throw) if values in otherHistogram's are higher than highestTrackableValue.IllegalArgumentException
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addWhileCorrectingForCoordinatedOmission
public void addWhileCorrectingForCoordinatedOmission(AbstractHistogram fromHistogram, long expectedIntervalBetweenValueSamples) Description copied from class:AbstractHistogramAdd the contents of another histogram to this one, while correcting the incoming data 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 values added 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-recording 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. bySee notes in the description of the Histogram calls for an illustration of why this corrective behavior is important.
- Overrides:
addWhileCorrectingForCoordinatedOmissionin classAbstractHistogram- Parameters:
fromHistogram- The other histogram. highestTrackableValue and largestValueWithSingleUnitResolution must match.expectedIntervalBetweenValueSamples- If expectedIntervalBetweenValueSamples is larger than 0, add auto-generated value records as appropriate if value is larger than expectedIntervalBetweenValueSamples
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shiftValuesLeft
public void shiftValuesLeft(int numberOfBinaryOrdersOfMagnitude) Description copied from class:AbstractHistogramShift recorded values to the left (the equivalent of a << shift operation on all recorded values). The configured integer value range limits and value precision setting will remain unchanged. AnArrayIndexOutOfBoundsExceptionwill be thrown if any recorded values may be lost as a result of the attempted operation, reflecting an "overflow" conditions. Expect such an overflow exception if the operation would cause the current maxValue to be scaled to a value that is outside of the covered value range.- Overrides:
shiftValuesLeftin classAbstractHistogram- Parameters:
numberOfBinaryOrdersOfMagnitude- The number of binary orders of magnitude to shift by
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shiftValuesRight
public void shiftValuesRight(int numberOfBinaryOrdersOfMagnitude) Description copied from class:AbstractHistogramShift recorded values to the right (the equivalent of a >> shift operation on all recorded values). The configured integer value range limits and value precision setting will remain unchanged.Shift right operations that do not underflow are reversible with a shift left operation with no loss of information. An
ArrayIndexOutOfBoundsExceptionreflecting an "underflow" conditions will be thrown if any recorded values may lose representation accuracy as a result of the attempted shift operation.For a shift of a single order of magnitude, expect such an underflow exception if any recorded non-zero values up to [numberOfSignificantValueDigits (rounded up to nearest power of 2) multiplied by (2 ^ numberOfBinaryOrdersOfMagnitude) currently exist in the histogram.
- Overrides:
shiftValuesRightin classAbstractHistogram- Parameters:
numberOfBinaryOrdersOfMagnitude- The number of binary orders of magnitude to shift by
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equals
Description copied from class:AbstractHistogramDetermine if this histogram is equivalent to another.- Overrides:
equalsin classAbstractHistogram- Parameters:
other- the other histogram to compare to- Returns:
- True if this histogram are equivalent with the other.
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hashCode
public int hashCode()- Overrides:
hashCodein classAbstractHistogram
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getLowestDiscernibleValue
public long getLowestDiscernibleValue()Description copied from class:AbstractHistogramget the configured lowestDiscernibleValue- Overrides:
getLowestDiscernibleValuein classAbstractHistogram- Returns:
- lowestDiscernibleValue
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getHighestTrackableValue
public long getHighestTrackableValue()Description copied from class:AbstractHistogramget the configured highestTrackableValue- Overrides:
getHighestTrackableValuein classAbstractHistogram- Returns:
- highestTrackableValue
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getNumberOfSignificantValueDigits
public int getNumberOfSignificantValueDigits()Description copied from class:AbstractHistogramget the configured numberOfSignificantValueDigits- Overrides:
getNumberOfSignificantValueDigitsin classAbstractHistogram- Returns:
- numberOfSignificantValueDigits
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sizeOfEquivalentValueRange
public long sizeOfEquivalentValueRange(long value) Description copied from class:AbstractHistogramGet the size (in value units) of the range of values that are equivalent to the given value within the histogram's resolution. Where "equivalent" means that value samples recorded for any two equivalent values are counted in a common total count.- Overrides:
sizeOfEquivalentValueRangein classAbstractHistogram- Parameters:
value- The given value- Returns:
- The size of the range of values equivalent to the given value.
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lowestEquivalentValue
public long lowestEquivalentValue(long value) Description copied from class:AbstractHistogramGet the lowest value that is equivalent to the given value within the histogram's resolution. Where "equivalent" means that value samples recorded for any two equivalent values are counted in a common total count.- Overrides:
lowestEquivalentValuein classAbstractHistogram- Parameters:
value- The given value- Returns:
- The lowest value that is equivalent to the given value within the histogram's resolution.
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highestEquivalentValue
public long highestEquivalentValue(long value) Description copied from class:AbstractHistogramGet the highest value that is equivalent to the given value within the histogram's resolution. Where "equivalent" means that value samples recorded for any two equivalent values are counted in a common total count.- Overrides:
highestEquivalentValuein classAbstractHistogram- Parameters:
value- The given value- Returns:
- The highest value that is equivalent to the given value within the histogram's resolution.
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medianEquivalentValue
public long medianEquivalentValue(long value) Description copied from class:AbstractHistogramGet a value that lies in the middle (rounded up) of the range of values equivalent the given value. Where "equivalent" means that value samples recorded for any two equivalent values are counted in a common total count.- Overrides:
medianEquivalentValuein classAbstractHistogram- Parameters:
value- The given value- Returns:
- The value lies in the middle (rounded up) of the range of values equivalent the given value.
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nextNonEquivalentValue
public long nextNonEquivalentValue(long value) Description copied from class:AbstractHistogramGet the next value that is not equivalent to the given value within the histogram's resolution. Where "equivalent" means that value samples recorded for any two equivalent values are counted in a common total count.- Overrides:
nextNonEquivalentValuein classAbstractHistogram- Parameters:
value- The given value- Returns:
- The next value that is not equivalent to the given value within the histogram's resolution.
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valuesAreEquivalent
public boolean valuesAreEquivalent(long value1, long value2) Description copied from class:AbstractHistogramDetermine if two values are equivalent with the histogram's resolution. Where "equivalent" means that value samples recorded for any two equivalent values are counted in a common total count.- Overrides:
valuesAreEquivalentin classAbstractHistogram- Parameters:
value1- first value to comparevalue2- second value to compare- Returns:
- True if values are equivalent with the histogram's resolution.
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getEstimatedFootprintInBytes
public int getEstimatedFootprintInBytes()Description copied from class:AbstractHistogramProvide a (conservatively high) estimate of the Histogram's total footprint in bytes- Overrides:
getEstimatedFootprintInBytesin classAbstractHistogram- Returns:
- a (conservatively high) estimate of the Histogram's total footprint in bytes
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getStartTimeStamp
public long getStartTimeStamp()Description copied from class:AbstractHistogramget the start time stamp [optionally] stored with this histogram- Overrides:
getStartTimeStampin classAbstractHistogram- Returns:
- the start time stamp [optionally] stored with this histogram
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setStartTimeStamp
public void setStartTimeStamp(long timeStampMsec) Description copied from class:AbstractHistogramSet the start time stamp value associated with this histogram to a given value.- Overrides:
setStartTimeStampin classAbstractHistogram- Parameters:
timeStampMsec- the value to set the time stamp to, [by convention] in msec since the epoch.
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getEndTimeStamp
public long getEndTimeStamp()Description copied from class:AbstractHistogramget the end time stamp [optionally] stored with this histogram- Overrides:
getEndTimeStampin classAbstractHistogram- Returns:
- the end time stamp [optionally] stored with this histogram
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setEndTimeStamp
public void setEndTimeStamp(long timeStampMsec) Description copied from class:AbstractHistogramSet the end time stamp value associated with this histogram to a given value.- Overrides:
setEndTimeStampin classAbstractHistogram- Parameters:
timeStampMsec- the value to set the time stamp to, [by convention] in msec since the epoch.
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getMinValue
public long getMinValue()Description copied from class:AbstractHistogramGet the lowest recorded value level in the histogram. If the histogram has no recorded values, the value returned is undefined.- Overrides:
getMinValuein classAbstractHistogram- Returns:
- the Min value recorded in the histogram
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getMaxValue
public long getMaxValue()Description copied from class:AbstractHistogramGet the highest recorded value level in the histogram. If the histogram has no recorded values, the value returned is undefined.- Overrides:
getMaxValuein classAbstractHistogram- Returns:
- the Max value recorded in the histogram
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getMinNonZeroValue
public long getMinNonZeroValue()Description copied from class:AbstractHistogramGet the lowest recorded non-zero value level in the histogram. If the histogram has no recorded values, the value returned is undefined.- Overrides:
getMinNonZeroValuein classAbstractHistogram- Returns:
- the lowest recorded non-zero value level in the histogram
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getMaxValueAsDouble
public double getMaxValueAsDouble()Description copied from class:AbstractHistogramGet the highest recorded value level in the histogram as a double- Overrides:
getMaxValueAsDoublein classAbstractHistogram- Returns:
- the Max value recorded in the histogram
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getMean
public double getMean()Description copied from class:AbstractHistogramGet the computed mean value of all recorded values in the histogram- Overrides:
getMeanin classAbstractHistogram- Returns:
- the mean value (in value units) of the histogram data
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getStdDeviation
public double getStdDeviation()Description copied from class:AbstractHistogramGet the computed standard deviation of all recorded values in the histogram- Overrides:
getStdDeviationin classAbstractHistogram- Returns:
- the standard deviation (in value units) of the histogram data
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getValueAtPercentile
public long getValueAtPercentile(double percentile) Description copied from class:AbstractHistogramGet the value at a given percentile. Returns the largest value that (100% - percentile) [+/- 1 ulp] of the overall recorded value entries in the histogram are either larger than or equivalent to. Returns 0 if no recorded values exist.Note that two values are "equivalent" in this statement if
AbstractHistogram.valuesAreEquivalent(long, long)would return true.- Overrides:
getValueAtPercentilein classAbstractHistogram- Parameters:
percentile- The percentile for which to return the associated value- Returns:
- The largest value that (100% - percentile) [+/- 1 ulp] of the overall recorded value entries in the histogram are either larger than or equivalent to. Returns 0 if no recorded values exist.
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getPercentileAtOrBelowValue
public double getPercentileAtOrBelowValue(long value) Description copied from class:AbstractHistogramGet the percentile at a given value. The percentile returned is the percentile of values recorded in the histogram that are smaller than or equivalent to the given value.Note that two values are "equivalent" in this statement if
AbstractHistogram.valuesAreEquivalent(long, long)would return true.- Overrides:
getPercentileAtOrBelowValuein classAbstractHistogram- Parameters:
value- The value for which to return the associated percentile- Returns:
- The percentile of values recorded in the histogram that are smaller than or equivalent to the given value.
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getCountBetweenValues
public long getCountBetweenValues(long lowValue, long highValue) throws ArrayIndexOutOfBoundsException Description copied from class:AbstractHistogramGet the count of recorded values within a range of value levels (inclusive to within the histogram's resolution).- Overrides:
getCountBetweenValuesin classAbstractHistogram- Parameters:
lowValue- The lower value bound on the range for which to provide the recorded count. Will be rounded down withlowestEquivalentValue.highValue- The higher value bound on the range for which to provide the recorded count. Will be rounded up withhighestEquivalentValue.- Returns:
- the total count of values recorded in the histogram within the value range that is >= lowestEquivalentValue(lowValue) and <= highestEquivalentValue(highValue)
- Throws:
ArrayIndexOutOfBoundsException
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getCountAtValue
Description copied from class:AbstractHistogramGet the count of recorded values at a specific value (to within the histogram resolution at the value level).- Overrides:
getCountAtValuein classAbstractHistogram- Parameters:
value- The value for which to provide the recorded count- Returns:
- The total count of values recorded in the histogram within the value range that is >= lowestEquivalentValue(value) and <= highestEquivalentValue(value)
- Throws:
ArrayIndexOutOfBoundsException
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percentiles
Description copied from class:AbstractHistogramProvide a means of iterating through histogram values according to percentile levels. The iteration is performed in steps that start at 0% and reduce their distance to 100% according to the percentileTicksPerHalfDistance parameter, ultimately reaching 100% when all recorded histogram values are exhausted.- Overrides:
percentilesin classAbstractHistogram- Parameters:
percentileTicksPerHalfDistance- The number of iteration steps per half-distance to 100%.- Returns:
- An
Iterable<HistogramIterationValue> through the histogram using aPercentileIterator
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linearBucketValues
Description copied from class:AbstractHistogramProvide a means of iterating through histogram values using linear steps. The iteration is performed in steps of valueUnitsPerBucket in size, terminating when all recorded histogram values are exhausted.- Overrides:
linearBucketValuesin classAbstractHistogram- Parameters:
valueUnitsPerBucket- The size (in value units) of the linear buckets to use- Returns:
- An
Iterable<HistogramIterationValue> through the histogram using aLinearIterator
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logarithmicBucketValues
public AbstractHistogram.LogarithmicBucketValues logarithmicBucketValues(long valueUnitsInFirstBucket, double logBase) Description copied from class:AbstractHistogramProvide a means of iterating through histogram values at logarithmically increasing levels. The iteration is performed in steps that start at valueUnitsInFirstBucket and increase exponentially according to logBase, terminating when all recorded histogram values are exhausted.- Overrides:
logarithmicBucketValuesin classAbstractHistogram- Parameters:
valueUnitsInFirstBucket- The size (in value units) of the first bucket in the iterationlogBase- The multiplier by which bucket sizes will grow in each iteration step- Returns:
- An
Iterable<HistogramIterationValue> through the histogram using aLogarithmicIterator
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recordedValues
Description copied from class:AbstractHistogramProvide a means of 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.- Overrides:
recordedValuesin classAbstractHistogram- Returns:
- An
Iterable<HistogramIterationValue> through the histogram using aRecordedValuesIterator
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allValues
Description copied from class:AbstractHistogramProvide a means of iterating through all histogram values using the finest granularity steps supported by the underlying representation. The iteration steps through all possible unit value levels, regardless of whether or not there were recorded values for that value level, and terminates when all recorded histogram values are exhausted.- Overrides:
allValuesin classAbstractHistogram- Returns:
- An
Iterable<HistogramIterationValue> through the histogram using aAllValuesIterator
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outputPercentileDistribution
public void outputPercentileDistribution(PrintStream printStream, Double outputValueUnitScalingRatio) Description copied from class:AbstractHistogramProduce textual representation of the value distribution of histogram data by percentile. The distribution is output with exponentially increasing resolution, with each exponentially decreasing half-distance containing five (5) percentile reporting tick points.- Overrides:
outputPercentileDistributionin classAbstractHistogram- Parameters:
printStream- Stream into which the distribution will be outputoutputValueUnitScalingRatio- The scaling factor by which to divide histogram recorded values units in output
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outputPercentileDistribution
public void outputPercentileDistribution(PrintStream printStream, int percentileTicksPerHalfDistance, Double outputValueUnitScalingRatio) Description copied from class:AbstractHistogramProduce textual representation of the value distribution of histogram data by percentile. The distribution is output with exponentially increasing resolution, with each exponentially decreasing half-distance containing dumpTicksPerHalf percentile reporting tick points.- Overrides:
outputPercentileDistributionin classAbstractHistogram- Parameters:
printStream- Stream into which the distribution will be outputpercentileTicksPerHalfDistance- The number of reporting points per exponentially decreasing half-distanceoutputValueUnitScalingRatio- The scaling factor by which to divide histogram recorded values units in output
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outputPercentileDistribution
public void outputPercentileDistribution(PrintStream printStream, int percentileTicksPerHalfDistance, Double outputValueUnitScalingRatio, boolean useCsvFormat) Description copied from class:AbstractHistogramProduce textual representation of the value distribution of histogram data by percentile. The distribution is output with exponentially increasing resolution, with each exponentially decreasing half-distance containing dumpTicksPerHalf percentile reporting tick points.- Overrides:
outputPercentileDistributionin classAbstractHistogram- Parameters:
printStream- Stream into which the distribution will be outputpercentileTicksPerHalfDistance- The number of reporting points per exponentially decreasing half-distanceoutputValueUnitScalingRatio- The scaling factor by which to divide histogram recorded values units in outputuseCsvFormat- Output in CSV format if true. Otherwise use plain text form.
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getNeededByteBufferCapacity
public int getNeededByteBufferCapacity()Description copied from class:AbstractHistogramGet the capacity needed to encode this histogram into a ByteBuffer- Overrides:
getNeededByteBufferCapacityin classAbstractHistogram- Returns:
- the capacity needed to encode this histogram into a ByteBuffer
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encodeIntoByteBuffer
Description copied from class:AbstractHistogramEncode this histogram into a ByteBuffer- Overrides:
encodeIntoByteBufferin classAbstractHistogram- Parameters:
buffer- The buffer to encode into- Returns:
- The number of bytes written to the buffer
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encodeIntoCompressedByteBuffer
Description copied from class:AbstractHistogramEncode this histogram in compressed form into a byte array- Overrides:
encodeIntoCompressedByteBufferin classAbstractHistogram- Parameters:
targetBuffer- The buffer to encode intocompressionLevel- Compression level (for java.util.zip.Deflater).- Returns:
- The number of bytes written to the buffer
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encodeIntoCompressedByteBuffer
Description copied from class:AbstractHistogramEncode this histogram in compressed form into a byte array- Overrides:
encodeIntoCompressedByteBufferin classAbstractHistogram- Parameters:
targetBuffer- The buffer to encode into- Returns:
- The number of bytes written to the array
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