org.HdrHistogram
Class AtomicHistogram

java.lang.Object
  extended by org.HdrHistogram.EncodableHistogram
      extended by org.HdrHistogram.AbstractHistogram
          extended by org.HdrHistogram.Histogram
              extended by org.HdrHistogram.AtomicHistogram
All Implemented Interfaces:
Serializable

public class AtomicHistogram
extends Histogram

A High Dynamic Range (HDR) Histogram using atomic long count type

An AtomicHistogram guarantees lossless recording of values into the hsitogram even when the histogram is updated by mutliple 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 opertions, 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 SynchronizedHistogram variant, or (recommended) use the Recorder class, which is intended for this purpose.

See package description for org.HdrHistogram for details.

See Also:
Serialized Form

Nested Class Summary
 
Nested classes/interfaces inherited from class org.HdrHistogram.AbstractHistogram
AbstractHistogram.AllValues, AbstractHistogram.LinearBucketValues, AbstractHistogram.LogarithmicBucketValues, AbstractHistogram.Percentiles, AbstractHistogram.RecordedValues
 
Constructor Summary
AtomicHistogram(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)
AtomicHistogram(long highestTrackableValue, int numberOfSignificantValueDigits)
          Construct a AtomicHistogram given the Highest value to be tracked and a number of significant decimal digits.
AtomicHistogram(long lowestDiscernibleValue, long highestTrackableValue, int numberOfSignificantValueDigits)
          Construct a AtomicHistogram given the Lowest and Highest values to be tracked and a number of significant decimal digits.
 
Method Summary
 AtomicHistogram copy()
          Create a copy of this histogram, complete with data and everything.
 AtomicHistogram copyCorrectedForCoordinatedOmission(long expectedIntervalBetweenValueSamples)
          Get a copy of this histogram, corrected for coordinated omission.
static AtomicHistogram decodeFromByteBuffer(ByteBuffer buffer, long minBarForHighestTrackableValue)
          Construct a new histogram by decoding it from a ByteBuffer.
static AtomicHistogram decodeFromCompressedByteBuffer(ByteBuffer buffer, long minBarForHighestTrackableValue)
          Construct a new histogram by decoding it from a compressed form in a ByteBuffer.
 long getTotalCount()
          Get the total count of all recorded values in the histogram
 void setAutoResize(boolean autoResize)
           
 
Methods inherited from class org.HdrHistogram.AbstractHistogram
add, addWhileCorrectingForCoordinatedOmission, allValues, copyInto, copyIntoCorrectedForCoordinatedOmission, encodeIntoByteBuffer, encodeIntoCompressedByteBuffer, encodeIntoCompressedByteBuffer, equals, getCountAtValue, getCountBetweenValues, getEndTimeStamp, getEstimatedFootprintInBytes, getHighestTrackableValue, getLowestDiscernibleValue, getMaxValue, getMaxValueAsDouble, getMean, getMinNonZeroValue, getMinValue, getNeededByteBufferCapacity, getNumberOfSignificantValueDigits, getPercentileAtOrBelowValue, getStartTimeStamp, getStdDeviation, getValueAtPercentile, highestEquivalentValue, isAutoResize, linearBucketValues, logarithmicBucketValues, lowestEquivalentValue, medianEquivalentValue, nextNonEquivalentValue, outputPercentileDistribution, outputPercentileDistribution, outputPercentileDistribution, percentiles, recordedValues, recordValue, recordValue, recordValueWithCount, recordValueWithExpectedInterval, reset, setEndTimeStamp, setStartTimeStamp, shiftValuesLeft, shiftValuesRight, sizeOfEquivalentValueRange, subtract, valuesAreEquivalent
 
Methods inherited from class java.lang.Object
clone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

AtomicHistogram

public AtomicHistogram(long highestTrackableValue,
                       int numberOfSignificantValueDigits)
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.

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.

AtomicHistogram

public AtomicHistogram(long lowestDiscernibleValue,
                       long highestTrackableValue,
                       int 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.

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.

AtomicHistogram

public AtomicHistogram(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 - The source histogram to duplicate
Method Detail

setAutoResize

public void setAutoResize(boolean autoResize)
Overrides:
setAutoResize in class AbstractHistogram

copy

public AtomicHistogram copy()
Description copied from class: AbstractHistogram
Create a copy of this histogram, complete with data and everything.

Overrides:
copy in class Histogram
Returns:
A distinct copy of this histogram.

copyCorrectedForCoordinatedOmission

public AtomicHistogram copyCorrectedForCoordinatedOmission(long expectedIntervalBetweenValueSamples)
Description copied from class: AbstractHistogram
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.

Overrides:
copyCorrectedForCoordinatedOmission in class Histogram
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.

getTotalCount

public long getTotalCount()
Description copied from class: AbstractHistogram
Get the total count of all recorded values in the histogram

Overrides:
getTotalCount in class Histogram
Returns:
the total count of all recorded values in the histogram

decodeFromByteBuffer

public static AtomicHistogram decodeFromByteBuffer(ByteBuffer buffer,
                                                   long minBarForHighestTrackableValue)
Construct a new histogram by decoding it from a ByteBuffer.

Parameters:
buffer - The buffer to decode from
minBarForHighestTrackableValue - Force highestTrackableValue to be set at least this high
Returns:
The newly constructed histogram

decodeFromCompressedByteBuffer

public static AtomicHistogram 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 from
minBarForHighestTrackableValue - Force highestTrackableValue to be set at least this high
Returns:
The newly constructed histogram
Throws:
DataFormatException - on error parsing/decompressing the buffer


Copyright © 2014. All rights reserved.