Package org.apache.flink.runtime.checkpoint

Class StatsSummarySnapshot

java.lang.Object

org.apache.flink.runtime.checkpoint.StatsSummarySnapshot

All Implemented Interfaces:

Serializable

@Internal
public class StatsSummarySnapshot
extends Object
implements Serializable

Immutable snapshot of StatsSummary.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
StatsSummarySnapshot(long min, long max, long sum, long count, org.apache.flink.metrics.HistogramStatistics histogram)

Method Summary

Modifier and Type	Method	Description
static StatsSummarySnapshot	empty()
long	getAverage()	Calculates the average over all seen values.
long	getCount()	Returns the count of all seen values.
long	getMaximum()	Returns the maximum seen value.
long	getMinimum()	Returns the minimum seen value.
double	getQuantile(double quantile)	Returns the value for the given quantile based on the represented histogram statistics or Double.NaN if the histogram was not built.
long	getSum()	Returns the sum of all seen values.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

StatsSummarySnapshot

public StatsSummarySnapshot(long min,
 long max,
 long sum,
 long count,
 @Nullable
 org.apache.flink.metrics.HistogramStatistics histogram)

Method Details

empty

public static StatsSummarySnapshot empty()

getMinimum

public long getMinimum()

Returns the minimum seen value.

Returns:

The current minimum value.

getMaximum

public long getMaximum()

Returns the maximum seen value.

Returns:

The current maximum value.

getSum

public long getSum()

Returns the sum of all seen values.

Returns:

Sum of all values.

getCount

public long getCount()

Returns the count of all seen values.

Returns:

Count of all values.

getAverage

public long getAverage()

Calculates the average over all seen values.

Returns:

Average over all seen values.

getQuantile

public double getQuantile(double quantile)

Returns the value for the given quantile based on the represented histogram statistics or Double.NaN if the histogram was not built.

Parameters:

quantile - Quantile to calculate the value for

Returns:

Value for the given quantile