Package io.micrometer.core.instrument
Class DistributionSummary.Builder
java.lang.Object
io.micrometer.core.instrument.DistributionSummary.Builder
- Enclosing interface:
DistributionSummary
Fluent builder for distribution summaries.
-
Method Summary
Modifier and TypeMethodDescriptiondescription
(String description) distributionStatisticBufferLength
(Integer bufferLength) Statistics emanating from a distribution summary like max, percentiles, and histogram counts decay over time to give greater weight to recent samples (exception: histogram counts are cumulative for those systems that expect cumulative histogram buckets).distributionStatisticExpiry
(Duration expiry) Statistics emanating from a distribution summary like max, percentiles, and histogram counts decay over time to give greater weight to recent samples (exception: histogram counts are cumulative for those systems that expect cumulative histogram buckets).Sets the maximum value that this distribution summary is expected to observe.maximumExpectedValue
(Long max) Deprecated.Sets the minimum value that this distribution summary is expected to observe.minimumExpectedValue
(Long min) Deprecated.UseminimumExpectedValue(Double)
instead since 1.4.0.percentilePrecision
(Integer digitsOfPrecision) Determines the number of digits of precision to maintain on the dynamic range histogram used to compute percentile approximations.Adds histogram buckets used to generate aggregable percentile approximations in monitoring systems that have query facilities to do so (e.g.publishPercentileHistogram
(Boolean enabled) Adds histogram buckets used to generate aggregable percentile approximations in monitoring systems that have query facilities to do so (e.g.publishPercentiles
(double... percentiles) Produces an additional time series for each requested percentile.register
(MeterRegistry registry) Add the distribution summary to a single registry, or return an existing distribution summary in that registry.scale
(double scale) Multiply values recorded to the distribution summary by a scaling factor.serviceLevelObjectives
(double... slos) Publish at a minimum a histogram containing your defined service level objective (SLO) boundaries.sla
(double... sla) Deprecated.Use {serviceLevelObjectives(double...)
} instead.sla
(long... sla) Deprecated.Use {serviceLevelObjectives(double...)
} instead.withRegistry
(MeterRegistry registry) Convenience method to create meters from the builder that only differ in tags.
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Method Details
-
tags
- Parameters:
tags
- Must be an even number of arguments representing key/value pairs of tags.- Returns:
- The distribution summmary builder with added tags.
-
tags
- Parameters:
tags
- Tags to add to the eventual distribution summary.- Returns:
- The distribution summary builder with added tags.
-
tag
- Parameters:
key
- The tag key.value
- The tag value.- Returns:
- The distribution summary builder with a single added tag.
-
description
- Parameters:
description
- Description text of the eventual distribution summary.- Returns:
- The distribution summary builder with added description.
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baseUnit
- Parameters:
unit
- Base unit of the eventual distribution summary.- Returns:
- The distribution summary builder with added base unit.
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publishPercentiles
Produces an additional time series for each requested percentile. This percentile is computed locally, and so can't be aggregated with percentiles computed across other dimensions (e.g. in a different instance). UsepublishPercentileHistogram()
to publish a histogram that can be used to generate aggregable percentile approximations.- Parameters:
percentiles
- Percentiles to compute and publish. The 95th percentile should be expressed as0.95
.- Returns:
- This builder.
-
percentilePrecision
Determines the number of digits of precision to maintain on the dynamic range histogram used to compute percentile approximations. The higher the degrees of precision, the more accurate the approximation is at the cost of more memory.- Parameters:
digitsOfPrecision
- The digits of precision to maintain for percentile approximations.- Returns:
- This builder.
-
publishPercentileHistogram
Adds histogram buckets used to generate aggregable percentile approximations in monitoring systems that have query facilities to do so (e.g. Prometheus'histogram_quantile
, Atlas':percentiles
).- Returns:
- This builder.
-
publishPercentileHistogram
Adds histogram buckets used to generate aggregable percentile approximations in monitoring systems that have query facilities to do so (e.g. Prometheus'histogram_quantile
, Atlas':percentiles
).- Parameters:
enabled
- Determines whether percentile histograms should be published.- Returns:
- This builder.
-
sla
Deprecated.Use {serviceLevelObjectives(double...)
} instead. "Service Level Agreement" is more formally the agreement between an engineering organization and the business. Service Level Objectives are set more conservatively than the SLA to provide some wiggle room while still satisfying the business requirement. SLOs are the threshold we intend to measure against, then.Publish at a minimum a histogram containing your defined service level objective (SLO) boundaries. When used in conjunction withTimer.Builder.publishPercentileHistogram()
, the boundaries defined here are included alongside other buckets used to generate aggregable percentile approximations.- Parameters:
sla
- Publish SLO boundaries in the set of histogram buckets shipped to the monitoring system.- Returns:
- This builder.
-
sla
Deprecated.Use {serviceLevelObjectives(double...)
} instead. "Service Level Agreement" is more formally the agreement between an engineering organization and the business. Service Level Objectives are set more conservatively than the SLA to provide some wiggle room while still satisfying the business requirement. SLOs are the threshold we intend to measure against, then.Publish at a minimum a histogram containing your defined service level objective (SLO) boundaries. When used in conjunction withTimer.Builder.publishPercentileHistogram()
, the boundaries defined here are included alongside other buckets used to generate aggregable percentile approximations.- Parameters:
sla
- Publish SLO boundaries in the set of histogram buckets shipped to the monitoring system.- Returns:
- This builder.
- Since:
- 1.4.0
-
serviceLevelObjectives
Publish at a minimum a histogram containing your defined service level objective (SLO) boundaries. When used in conjunction withTimer.Builder.publishPercentileHistogram()
, the boundaries defined here are included alongside other buckets used to generate aggregable percentile approximations.- Parameters:
slos
- Publish SLO boundaries in the set of histogram buckets shipped to the monitoring system.- Returns:
- This builder.
- Since:
- 1.5.0
-
minimumExpectedValue
Deprecated.UseminimumExpectedValue(Double)
instead since 1.4.0.Sets the minimum value that this distribution summary is expected to observe. Sets a lower bound on histogram buckets that are shipped to monitoring systems that support aggregable percentile approximations.- Parameters:
min
- The minimum value that this distribution summary is expected to observe.- Returns:
- This builder.
-
minimumExpectedValue
Sets the minimum value that this distribution summary is expected to observe. Sets a lower bound on histogram buckets that are shipped to monitoring systems that support aggregable percentile approximations.- Parameters:
min
- The minimum value that this distribution summary is expected to observe.- Returns:
- This builder.
- Since:
- 1.3.10
-
maximumExpectedValue
Deprecated.UsemaximumExpectedValue(Double)
instead since 1.4.0.Sets the maximum value that this distribution summary is expected to observe. Sets an upper bound on histogram buckets that are shipped to monitoring systems that support aggregable percentile approximations.- Parameters:
max
- The maximum value that this distribution summary is expected to observe.- Returns:
- This builder.
-
maximumExpectedValue
Sets the maximum value that this distribution summary is expected to observe. Sets an upper bound on histogram buckets that are shipped to monitoring systems that support aggregable percentile approximations.- Parameters:
max
- The maximum value that this distribution summary is expected to observe.- Returns:
- This builder.
- Since:
- 1.3.10
-
distributionStatisticExpiry
Statistics emanating from a distribution summary like max, percentiles, and histogram counts decay over time to give greater weight to recent samples (exception: histogram counts are cumulative for those systems that expect cumulative histogram buckets). Samples are accumulated to such statistics in ring buffers which rotate after this expiry, with a buffer length ofdistributionStatisticBufferLength(Integer)
.- Parameters:
expiry
- The amount of time samples are accumulated to a histogram before it is reset and rotated.- Returns:
- This builder.
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distributionStatisticBufferLength
public DistributionSummary.Builder distributionStatisticBufferLength(@Nullable Integer bufferLength) Statistics emanating from a distribution summary like max, percentiles, and histogram counts decay over time to give greater weight to recent samples (exception: histogram counts are cumulative for those systems that expect cumulative histogram buckets). Samples are accumulated to such statistics in ring buffers which rotate afterdistributionStatisticExpiry(Duration)
, with this buffer length.- Parameters:
bufferLength
- The number of histograms to keep in the ring buffer.- Returns:
- This builder.
-
scale
Multiply values recorded to the distribution summary by a scaling factor.- Parameters:
scale
- Factor to scale each recorded value by.- Returns:
- This builder.
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withRegistry
Convenience method to create meters from the builder that only differ in tags. This method can be used for dynamic tagging by creating the builder once and applying the dynamically changing tags using the returnedMeter.MeterProvider
.- Parameters:
registry
- A registry to add the meter to, if it doesn't already exist.- Returns:
- A
Meter.MeterProvider
that returns a meter based on the provided tags. - Since:
- 1.12.0
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register
Add the distribution summary to a single registry, or return an existing distribution summary in that registry. The returned distribution summary will be unique for each registry, but each registry is guaranteed to only create one distribution summary for the same combination of name and tags.- Parameters:
registry
- A registry to add the distribution summary to, if it doesn't already exist.- Returns:
- A new or existing distribution summary.
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maximumExpectedValue(Double)
instead since 1.4.0.