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// Copyright The OpenTelemetry Authors
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//
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2021-01-31 23:10:16 +00:00
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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2021-01-31 23:10:16 +00:00
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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2022-11-29 21:53:28 +00:00
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/*
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2023-05-10 06:13:50 +00:00
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Package metric provides the OpenTelemetry API used to measure metrics about
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source code operation.
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2023-05-10 06:13:50 +00:00
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This API is separate from its implementation so the instrumentation built from
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it is reusable. See [go.opentelemetry.io/otel/sdk/metric] for the official
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OpenTelemetry implementation of this API.
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All measurements made with this package are made via instruments. These
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instruments are created by a [Meter] which itself is created by a
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[MeterProvider]. Applications need to accept a [MeterProvider] implementation
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as a starting point when instrumenting. This can be done directly, or by using
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the OpenTelemetry global MeterProvider via [GetMeterProvider]. Using an
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appropriately named [Meter] from the accepted [MeterProvider], instrumentation
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can then be built from the [Meter]'s instruments.
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# Instruments
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Each instrument is designed to make measurements of a particular type. Broadly,
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all instruments fall into two overlapping logical categories: asynchronous or
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synchronous, and int64 or float64.
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All synchronous instruments ([Int64Counter], [Int64UpDownCounter],
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[Int64Histogram], [Float64Counter], [Float64UpDownCounter], and
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[Float64Histogram]) are used to measure the operation and performance of source
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code during the source code execution. These instruments only make measurements
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when the source code they instrument is run.
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All asynchronous instruments ([Int64ObservableCounter],
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[Int64ObservableUpDownCounter], [Int64ObservableGauge],
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[Float64ObservableCounter], [Float64ObservableUpDownCounter], and
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[Float64ObservableGauge]) are used to measure metrics outside of the execution
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of source code. They are said to make "observations" via a callback function
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called once every measurement collection cycle.
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Each instrument is also grouped by the value type it measures. Either int64 or
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float64. The value being measured will dictate which instrument in these
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categories to use.
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Outside of these two broad categories, instruments are described by the
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function they are designed to serve. All Counters ([Int64Counter],
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[Float64Counter], [Int64ObservableCounter], and [Float64ObservableCounter]) are
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designed to measure values that never decrease in value, but instead only
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incrementally increase in value. UpDownCounters ([Int64UpDownCounter],
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[Float64UpDownCounter], [Int64ObservableUpDownCounter], and
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[Float64ObservableUpDownCounter]) on the other hand, are designed to measure
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values that can increase and decrease. When more information needs to be
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conveyed about all the synchronous measurements made during a collection cycle,
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a Histogram ([Int64Histogram] and [Float64Histogram]) should be used. Finally,
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when just the most recent measurement needs to be conveyed about an
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asynchronous measurement, a Gauge ([Int64ObservableGauge] and
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[Float64ObservableGauge]) should be used.
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See the [OpenTelemetry documentation] for more information about instruments
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and their intended use.
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# Measurements
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Measurements are made by recording values and information about the values with
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an instrument. How these measurements are recorded depends on the instrument.
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Measurements for synchronous instruments ([Int64Counter], [Int64UpDownCounter],
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[Int64Histogram], [Float64Counter], [Float64UpDownCounter], and
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[Float64Histogram]) are recorded using the instrument methods directly. All
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counter instruments have an Add method that is used to measure an increment
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value, and all histogram instruments have a Record method to measure a data
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point.
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Asynchronous instruments ([Int64ObservableCounter],
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[Int64ObservableUpDownCounter], [Int64ObservableGauge],
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[Float64ObservableCounter], [Float64ObservableUpDownCounter], and
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[Float64ObservableGauge]) record measurements within a callback function. The
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callback is registered with the Meter which ensures the callback is called once
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per collection cycle. A callback can be registered two ways: during the
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instrument's creation using an option, or later using the RegisterCallback
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method of the [Meter] that created the instrument.
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If the following criteria are met, an option ([WithInt64Callback] or
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[WithFloat64Callback]) can be used during the asynchronous instrument's
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creation to register a callback ([Int64Callback] or [Float64Callback],
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respectively):
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- The measurement process is known when the instrument is created
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- Only that instrument will make a measurement within the callback
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- The callback never needs to be unregistered
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If the criteria are not met, use the RegisterCallback method of the [Meter] that
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created the instrument to register a [Callback].
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# API Implementations
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This package does not conform to the standard Go versioning policy, all of its
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interfaces may have methods added to them without a package major version bump.
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This non-standard API evolution could surprise an uninformed implementation
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author. They could unknowingly build their implementation in a way that would
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result in a runtime panic for their users that update to the new API.
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The API is designed to help inform an instrumentation author about this
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non-standard API evolution. It requires them to choose a default behavior for
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unimplemented interface methods. There are three behavior choices they can
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make:
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- Compilation failure
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- Panic
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- Default to another implementation
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All interfaces in this API embed a corresponding interface from
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[go.opentelemetry.io/otel/metric/embedded]. If an author wants the default
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behavior of their implementations to be a compilation failure, signaling to
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their users they need to update to the latest version of that implementation,
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they need to embed the corresponding interface from
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[go.opentelemetry.io/otel/metric/embedded] in their implementation. For
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example,
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import "go.opentelemetry.io/otel/metric/embedded"
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type MeterProvider struct {
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embedded.MeterProvider
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// ...
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}
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If an author wants the default behavior of their implementations to a panic,
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they need to embed the API interface directly.
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import "go.opentelemetry.io/otel/metric"
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type MeterProvider struct {
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metric.MeterProvider
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// ...
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}
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This is not a recommended behavior as it could lead to publishing packages that
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contain runtime panics when users update other package that use newer versions
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of [go.opentelemetry.io/otel/metric].
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Finally, an author can embed another implementation in theirs. The embedded
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implementation will be used for methods not defined by the author. For example,
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an author who want to default to silently dropping the call can use
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[go.opentelemetry.io/otel/metric/noop]:
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import "go.opentelemetry.io/otel/metric/noop"
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type MeterProvider struct {
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noop.MeterProvider
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// ...
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}
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It is strongly recommended that authors only embed
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[go.opentelemetry.io/otel/metric/noop] if they choose this default behavior.
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That implementation is the only one OpenTelemetry authors can guarantee will
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fully implement all the API interfaces when a user updates their API.
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[OpenTelemetry documentation]: https://opentelemetry.io/docs/concepts/signals/metrics/
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[GetMeterProvider]: https://pkg.go.dev/go.opentelemetry.io/otel#GetMeterProvider
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2022-11-29 21:53:28 +00:00
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*/
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package metric // import "go.opentelemetry.io/otel/metric"
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