io.micrometer.core.instrument.noop.NoopDistributionSummary Java Examples

The following examples show how to use io.micrometer.core.instrument.noop.NoopDistributionSummary. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.

Example #1

Source File: CompositeDistributionSummary.java From micrometer with Apache License 2.0

4 votes

@Override
DistributionSummary newNoopMeter() {
    return new NoopDistributionSummary(getId());
}

Example #2

Source File: DistributionSummaryMetricsConverterTest.java From cf-java-logging-support with Apache License 2.0

4 votes

public DistributionSummaryMetricsConverterTest() {
    super(new NoopDistributionSummary(ID), new DistributionSummaryMetricsConverter());
}

Example #3

Source File: NoopMeterRegistry.java From dolphin-platform with Apache License 2.0

4 votes

@Override
protected DistributionSummary newDistributionSummary(final Meter.Id id, final DistributionStatisticConfig distributionStatisticConfig, final double scale) {
    return new NoopDistributionSummary(id);
}

Example #4

Source File: NoopMeterRegistry.java From armeria with Apache License 2.0

4 votes

@Override
protected DistributionSummary newDistributionSummary(Id id, DistributionStatisticConfig distributionConfig,
        double scale) {
    return new NoopDistributionSummary(id);
}

Example #5

Source File: MeterRegistry.java From micrometer with Apache License 2.0

2 votes

/**
 * Only used by {@link DistributionSummary#builder(String)}.
 *
 * @param id                          The identifier for this distribution summary.
 * @param distributionStatisticConfig Configuration that governs how distribution statistics are computed.
 * @return A new or existing distribution summary.
 */
DistributionSummary summary(Meter.Id id, DistributionStatisticConfig distributionStatisticConfig, double scale) {
    return registerMeterIfNecessary(DistributionSummary.class, id, distributionStatisticConfig, (id2, filteredConfig) ->
            newDistributionSummary(id2, filteredConfig.merge(defaultHistogramConfig()), scale), NoopDistributionSummary::new);
}