@InterfaceAudience.Private @InterfaceStability.Evolving public class FastLongHistogram extends Object
Modifier and Type | Field and Description |
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static int |
DEFAULT_NBINS
Default number of bins.
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static double[] |
DEFAULT_QUANTILES |
Constructor and Description |
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FastLongHistogram()
Constructor.
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FastLongHistogram(int numOfBins)
Constructor.
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FastLongHistogram(int numOfBins,
long min,
long max)
Constructor setting the bins assuming a uniform distribution within a range.
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Modifier and Type | Method and Description |
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void |
add(long value,
long count)
Adds a value to the histogram.
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long |
getCount() |
long |
getMax() |
long |
getMean() |
long |
getMin() |
long |
getNumAtOrBelow(long value) |
long[] |
getQuantiles() |
long[] |
getQuantiles(double[] quantiles)
Computes the quantiles give the ratios.
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Snapshot |
snapshotAndReset()
Resets the histogram for new counting.
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public static final int DEFAULT_NBINS
public static final double[] DEFAULT_QUANTILES
public FastLongHistogram()
public FastLongHistogram(int numOfBins)
numOfBins
- the number of bins for the histogram. A larger value results in more precise
results but with lower efficiency, and vice versus.public FastLongHistogram(int numOfBins, long min, long max)
numOfBins
- the number of bins for the histogram. A larger value results in more precise
results but with lower efficiency, and vice versus.min
- lower bound of the region, inclusive.max
- higher bound of the region, inclusive.public void add(long value, long count)
public long[] getQuantiles(double[] quantiles)
public long[] getQuantiles()
public long getMin()
public long getMax()
public long getCount()
public long getMean()
public long getNumAtOrBelow(long value)
public Snapshot snapshotAndReset()
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