Class ImmutableDoublePointData
java.lang.Object
io.opentelemetry.sdk.metrics.internal.data.ImmutableDoublePointData
- All Implemented Interfaces:
DoublePointData
,PointData
- Direct Known Subclasses:
AutoValue_ImmutableDoublePointData
DoublePoint is a single data point in a timeseries that describes the time-varying value of a
double metric.
This class is internal and is hence not for public use. Its APIs are unstable and can change at any time.
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic DoublePointData
create
(long startEpochNanos, long epochNanos, Attributes attributes, double value) Creates aImmutableDoublePointData
.static DoublePointData
create
(long startEpochNanos, long epochNanos, Attributes attributes, double value, List<DoubleExemplarData> exemplars) Creates aImmutableDoublePointData
.Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface io.opentelemetry.sdk.metrics.data.DoublePointData
getExemplars, getValue
Methods inherited from interface io.opentelemetry.sdk.metrics.data.PointData
getAttributes, getEpochNanos, getStartEpochNanos
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Constructor Details
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ImmutableDoublePointData
ImmutableDoublePointData()
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Method Details
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create
public static DoublePointData create(long startEpochNanos, long epochNanos, Attributes attributes, double value) Creates aImmutableDoublePointData
.- Parameters:
startEpochNanos
- The starting time for the period where this point was sampled. Note: While start time is optional in OTLP, all SDKs should produce it for all their metrics, so it is required here.epochNanos
- The ending time for the period when this value was sampled.attributes
- The set of attributes associated with this point.value
- The value that was sampled.
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create
public static DoublePointData create(long startEpochNanos, long epochNanos, Attributes attributes, double value, List<DoubleExemplarData> exemplars) Creates aImmutableDoublePointData
.- Parameters:
startEpochNanos
- The starting time for the period where this point was sampled. Note: While start time is optional in OTLP, all SDKs should produce it for all their metrics, so it is required here.epochNanos
- The ending time for the period when this value was sampled.attributes
- The set of attributes associated with this point.value
- The value that was sampled.exemplars
- A collection of interesting sampled values from this time period.
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