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* Add measurement docs to metric API Based on user feedback, how measurements are made with observable instruments is not immediately clear to new users. This adds documentation intended to help guide these users. * Apply feedback * Apply feedback * Remove backticks * Apply suggestions from code review Co-authored-by: Robert Pająk <pellared@hotmail.com> * Update metric/meter.go Co-authored-by: Robert Pająk <pellared@hotmail.com> --------- Co-authored-by: Robert Pająk <pellared@hotmail.com> Co-authored-by: Chester Cheung <cheung.zhy.csu@gmail.com>
171 lines
7.5 KiB
Go
171 lines
7.5 KiB
Go
// Copyright The OpenTelemetry Authors
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//
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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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//
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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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/*
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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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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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*/
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package metric // import "go.opentelemetry.io/otel/metric"
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