HistogramSupport (micrometer-core 1.2.0 API)

All Superinterfaces:

Meter

All Known Subinterfaces:

DistributionSummary, Timer

All Known Implementing Classes:

AbstractDistributionSummary, AbstractTimer, CumulativeDistributionSummary, CumulativeTimer, DropwizardDistributionSummary, DropwizardTimer, NoopDistributionSummary, NoopTimer, StepDistributionSummary, StepTimer
```
public interface HistogramSupport
extends Meter
```

Nested Class Summary
- Nested classes/interfaces inherited from interface io.micrometer.core.instrument.Meter
  Meter.Builder, Meter.Id, Meter.Type

Method Summary

All Methods Instance Methods Abstract Methods Default Methods Deprecated Methods
Modifier and Type	Method	Description
`HistogramSnapshot`	`takeSnapshot()`	Summary statistics should be published off of a single snapshot instance so that, for example, there isn't disagreement between the distribution's bucket counts because more events continue to stream in.
`default HistogramSnapshot`	`takeSnapshot(boolean supportsAggregablePercentiles)`	Deprecated. Use `takeSnapshot()`.

Methods inherited from interface io.micrometer.core.instrument.Meter
close, getId, match, measure, use

- Method Detail
  - takeSnapshot
```
HistogramSnapshot takeSnapshot()
```
    Summary statistics should be published off of a single snapshot instance so that, for example, there isn't disagreement between the distribution's bucket counts because more events continue to stream in.
    
    Returns:
    
    A snapshot of all distribution statistics at a point in time.
  - takeSnapshot
```
@Deprecated
default HistogramSnapshot takeSnapshot(boolean supportsAggregablePercentiles)
```
    Deprecated.
    Use takeSnapshot().
    
    Summary statistics should be published off of a single snapshot instance so that, for example, there isn't disagreement between the distribution's bucket counts because more events continue to stream in.
    
    Parameters:
    
    supportsAggregablePercentiles - Ignored. The determination of aggregable percentile support is now made up front.
    
    Returns:
    
    A snapshot of all distribution statistics at a point in time.