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Diffstat (limited to 'vendor/go.opentelemetry.io/otel/sdk/metric')
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diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/LICENSE b/vendor/go.opentelemetry.io/otel/sdk/metric/LICENSE new file mode 100644 index 000000000..261eeb9e9 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/aggregation.go b/vendor/go.opentelemetry.io/otel/sdk/metric/aggregation.go new file mode 100644 index 000000000..faddbb0b6 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/aggregation.go @@ -0,0 +1,201 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "errors" + "fmt" +) + +// errAgg is wrapped by misconfigured aggregations. +var errAgg = errors.New("aggregation") + +// Aggregation is the aggregation used to summarize recorded measurements. +type Aggregation interface { + // copy returns a deep copy of the Aggregation. + copy() Aggregation + + // err returns an error for any misconfigured Aggregation. + err() error +} + +// AggregationDrop is an Aggregation that drops all recorded data. +type AggregationDrop struct{} // AggregationDrop has no parameters. + +var _ Aggregation = AggregationDrop{} + +// copy returns a deep copy of d. +func (d AggregationDrop) copy() Aggregation { return d } + +// err returns an error for any misconfiguration. A drop aggregation has no +// parameters and cannot be misconfigured, therefore this always returns nil. +func (AggregationDrop) err() error { return nil } + +// AggregationDefault is an Aggregation that uses the default instrument kind selection +// mapping to select another Aggregation. A metric reader can be configured to +// make an aggregation selection based on instrument kind that differs from +// the default. This Aggregation ensures the default is used. +// +// See the [DefaultAggregationSelector] for information about the default +// instrument kind selection mapping. +type AggregationDefault struct{} // AggregationDefault has no parameters. + +var _ Aggregation = AggregationDefault{} + +// copy returns a deep copy of d. +func (d AggregationDefault) copy() Aggregation { return d } + +// err returns an error for any misconfiguration. A default aggregation has no +// parameters and cannot be misconfigured, therefore this always returns nil. +func (AggregationDefault) err() error { return nil } + +// AggregationSum is an Aggregation that summarizes a set of measurements as their +// arithmetic sum. +type AggregationSum struct{} // AggregationSum has no parameters. + +var _ Aggregation = AggregationSum{} + +// copy returns a deep copy of s. +func (s AggregationSum) copy() Aggregation { return s } + +// err returns an error for any misconfiguration. A sum aggregation has no +// parameters and cannot be misconfigured, therefore this always returns nil. +func (AggregationSum) err() error { return nil } + +// AggregationLastValue is an Aggregation that summarizes a set of measurements as the +// last one made. +type AggregationLastValue struct{} // AggregationLastValue has no parameters. + +var _ Aggregation = AggregationLastValue{} + +// copy returns a deep copy of l. +func (l AggregationLastValue) copy() Aggregation { return l } + +// err returns an error for any misconfiguration. A last-value aggregation has +// no parameters and cannot be misconfigured, therefore this always returns +// nil. +func (AggregationLastValue) err() error { return nil } + +// AggregationExplicitBucketHistogram is an Aggregation that summarizes a set of +// measurements as an histogram with explicitly defined buckets. +type AggregationExplicitBucketHistogram struct { + // Boundaries are the increasing bucket boundary values. Boundary values + // define bucket upper bounds. Buckets are exclusive of their lower + // boundary and inclusive of their upper bound (except at positive + // infinity). A measurement is defined to fall into the greatest-numbered + // bucket with a boundary that is greater than or equal to the + // measurement. As an example, boundaries defined as: + // + // []float64{0, 5, 10, 25, 50, 75, 100, 250, 500, 1000} + // + // Will define these buckets: + // + // (-∞, 0], (0, 5.0], (5.0, 10.0], (10.0, 25.0], (25.0, 50.0], + // (50.0, 75.0], (75.0, 100.0], (100.0, 250.0], (250.0, 500.0], + // (500.0, 1000.0], (1000.0, +∞) + Boundaries []float64 + // NoMinMax indicates whether to not record the min and max of the + // distribution. By default, these extrema are recorded. + // + // Recording these extrema for cumulative data is expected to have little + // value, they will represent the entire life of the instrument instead of + // just the current collection cycle. It is recommended to set this to true + // for that type of data to avoid computing the low-value extrema. + NoMinMax bool +} + +var _ Aggregation = AggregationExplicitBucketHistogram{} + +// errHist is returned by misconfigured ExplicitBucketHistograms. +var errHist = fmt.Errorf("%w: explicit bucket histogram", errAgg) + +// err returns an error for any misconfiguration. +func (h AggregationExplicitBucketHistogram) err() error { + if len(h.Boundaries) <= 1 { + return nil + } + + // Check boundaries are monotonic. + i := h.Boundaries[0] + for _, j := range h.Boundaries[1:] { + if i >= j { + return fmt.Errorf("%w: non-monotonic boundaries: %v", errHist, h.Boundaries) + } + i = j + } + + return nil +} + +// copy returns a deep copy of h. +func (h AggregationExplicitBucketHistogram) copy() Aggregation { + b := make([]float64, len(h.Boundaries)) + copy(b, h.Boundaries) + return AggregationExplicitBucketHistogram{ + Boundaries: b, + NoMinMax: h.NoMinMax, + } +} + +// AggregationBase2ExponentialHistogram is an Aggregation that summarizes a set of +// measurements as an histogram with bucket widths that grow exponentially. +type AggregationBase2ExponentialHistogram struct { + // MaxSize is the maximum number of buckets to use for the histogram. + MaxSize int32 + // MaxScale is the maximum resolution scale to use for the histogram. + // + // MaxScale has a maximum value of 20. Using a value of 20 means the + // maximum number of buckets that can fit within the range of a + // signed 32-bit integer index could be used. + // + // MaxScale has a minimum value of -10. Using a value of -10 means only + // two buckets will be used. + MaxScale int32 + + // NoMinMax indicates whether to not record the min and max of the + // distribution. By default, these extrema are recorded. + // + // Recording these extrema for cumulative data is expected to have little + // value, they will represent the entire life of the instrument instead of + // just the current collection cycle. It is recommended to set this to true + // for that type of data to avoid computing the low-value extrema. + NoMinMax bool +} + +var _ Aggregation = AggregationBase2ExponentialHistogram{} + +// copy returns a deep copy of the Aggregation. +func (e AggregationBase2ExponentialHistogram) copy() Aggregation { + return e +} + +const ( + expoMaxScale = 20 + expoMinScale = -10 +) + +// errExpoHist is returned by misconfigured Base2ExponentialBucketHistograms. +var errExpoHist = fmt.Errorf("%w: exponential histogram", errAgg) + +// err returns an error for any misconfigured Aggregation. +func (e AggregationBase2ExponentialHistogram) err() error { + if e.MaxScale > expoMaxScale { + return fmt.Errorf("%w: max size %d is greater than maximum scale %d", errExpoHist, e.MaxSize, expoMaxScale) + } + if e.MaxSize <= 0 { + return fmt.Errorf("%w: max size %d is less than or equal to zero", errExpoHist, e.MaxSize) + } + return nil +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/cache.go b/vendor/go.opentelemetry.io/otel/sdk/metric/cache.go new file mode 100644 index 000000000..de9d6f001 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/cache.go @@ -0,0 +1,54 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "sync" +) + +// cache is a locking storage used to quickly return already computed values. +// +// The zero value of a cache is empty and ready to use. +// +// A cache must not be copied after first use. +// +// All methods of a cache are safe to call concurrently. +type cache[K comparable, V any] struct { + sync.Mutex + data map[K]V +} + +// Lookup returns the value stored in the cache with the associated key if it +// exists. Otherwise, f is called and its returned value is set in the cache +// for key and returned. +// +// Lookup is safe to call concurrently. It will hold the cache lock, so f +// should not block excessively. +func (c *cache[K, V]) Lookup(key K, f func() V) V { + c.Lock() + defer c.Unlock() + + if c.data == nil { + val := f() + c.data = map[K]V{key: val} + return val + } + if v, ok := c.data[key]; ok { + return v + } + val := f() + c.data[key] = val + return val +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/config.go b/vendor/go.opentelemetry.io/otel/sdk/metric/config.go new file mode 100644 index 000000000..0b1911284 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/config.go @@ -0,0 +1,148 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "fmt" + "sync" + + "go.opentelemetry.io/otel/sdk/resource" +) + +// config contains configuration options for a MeterProvider. +type config struct { + res *resource.Resource + readers []Reader + views []View +} + +// readerSignals returns a force-flush and shutdown function for a +// MeterProvider to call in their respective options. All Readers c contains +// will have their force-flush and shutdown methods unified into returned +// single functions. +func (c config) readerSignals() (forceFlush, shutdown func(context.Context) error) { + var fFuncs, sFuncs []func(context.Context) error + for _, r := range c.readers { + sFuncs = append(sFuncs, r.Shutdown) + if f, ok := r.(interface{ ForceFlush(context.Context) error }); ok { + fFuncs = append(fFuncs, f.ForceFlush) + } + } + + return unify(fFuncs), unifyShutdown(sFuncs) +} + +// unify unifies calling all of funcs into a single function call. All errors +// returned from calls to funcs will be unify into a single error return +// value. +func unify(funcs []func(context.Context) error) func(context.Context) error { + return func(ctx context.Context) error { + var errs []error + for _, f := range funcs { + if err := f(ctx); err != nil { + errs = append(errs, err) + } + } + return unifyErrors(errs) + } +} + +// unifyErrors combines multiple errors into a single error. +func unifyErrors(errs []error) error { + switch len(errs) { + case 0: + return nil + case 1: + return errs[0] + default: + return fmt.Errorf("%v", errs) + } +} + +// unifyShutdown unifies calling all of funcs once for a shutdown. If called +// more than once, an ErrReaderShutdown error is returned. +func unifyShutdown(funcs []func(context.Context) error) func(context.Context) error { + f := unify(funcs) + var once sync.Once + return func(ctx context.Context) error { + err := ErrReaderShutdown + once.Do(func() { err = f(ctx) }) + return err + } +} + +// newConfig returns a config configured with options. +func newConfig(options []Option) config { + conf := config{res: resource.Default()} + for _, o := range options { + conf = o.apply(conf) + } + return conf +} + +// Option applies a configuration option value to a MeterProvider. +type Option interface { + apply(config) config +} + +// optionFunc applies a set of options to a config. +type optionFunc func(config) config + +// apply returns a config with option(s) applied. +func (o optionFunc) apply(conf config) config { + return o(conf) +} + +// WithResource associates a Resource with a MeterProvider. This Resource +// represents the entity producing telemetry and is associated with all Meters +// the MeterProvider will create. +// +// By default, if this Option is not used, the default Resource from the +// go.opentelemetry.io/otel/sdk/resource package will be used. +func WithResource(res *resource.Resource) Option { + return optionFunc(func(conf config) config { + conf.res = res + return conf + }) +} + +// WithReader associates Reader r with a MeterProvider. +// +// By default, if this option is not used, the MeterProvider will perform no +// operations; no data will be exported without a Reader. +func WithReader(r Reader) Option { + return optionFunc(func(cfg config) config { + if r == nil { + return cfg + } + cfg.readers = append(cfg.readers, r) + return cfg + }) +} + +// WithView associates views a MeterProvider. +// +// Views are appended to existing ones in a MeterProvider if this option is +// used multiple times. +// +// By default, if this option is not used, the MeterProvider will use the +// default view. +func WithView(views ...View) Option { + return optionFunc(func(cfg config) config { + cfg.views = append(cfg.views, views...) + return cfg + }) +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/doc.go b/vendor/go.opentelemetry.io/otel/sdk/metric/doc.go new file mode 100644 index 000000000..53f80c428 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/doc.go @@ -0,0 +1,47 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +// Package metric provides an implementation of the OpenTelemetry metrics SDK. +// +// See https://opentelemetry.io/docs/concepts/signals/metrics/ for information +// about the concept of OpenTelemetry metrics and +// https://opentelemetry.io/docs/concepts/components/ for more information +// about OpenTelemetry SDKs. +// +// The entry point for the metric package is the MeterProvider. It is the +// object that all API calls use to create Meters, instruments, and ultimately +// make metric measurements. Also, it is an object that should be used to +// control the life-cycle (start, flush, and shutdown) of the SDK. +// +// A MeterProvider needs to be configured to export the measured data, this is +// done by configuring it with a Reader implementation (using the WithReader +// MeterProviderOption). Readers take two forms: ones that push to an endpoint +// (NewPeriodicReader), and ones that an endpoint pulls from. See +// [go.opentelemetry.io/otel/exporters] for exporters that can be used as +// or with these Readers. +// +// Each Reader, when registered with the MeterProvider, can be augmented with a +// View. Views allow users that run OpenTelemetry instrumented code to modify +// the generated data of that instrumentation. +// +// The data generated by a MeterProvider needs to include information about its +// origin. A MeterProvider needs to be configured with a Resource, using the +// WithResource MeterProviderOption, to include this information. This Resource +// should be used to describe the unique runtime environment instrumented code +// is being run on. That way when multiple instances of the code are collected +// at a single endpoint their origin is decipherable. +// +// See [go.opentelemetry.io/otel/metric] for more information about +// the metric API. +package metric // import "go.opentelemetry.io/otel/sdk/metric" diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/env.go b/vendor/go.opentelemetry.io/otel/sdk/metric/env.go new file mode 100644 index 000000000..940ba8159 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/env.go @@ -0,0 +1,50 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "os" + "strconv" + "time" + + "go.opentelemetry.io/otel/internal/global" +) + +// Environment variable names. +const ( + // The time interval (in milliseconds) between the start of two export attempts. + envInterval = "OTEL_METRIC_EXPORT_INTERVAL" + // Maximum allowed time (in milliseconds) to export data. + envTimeout = "OTEL_METRIC_EXPORT_TIMEOUT" +) + +// envDuration returns an environment variable's value as duration in milliseconds if it is exists, +// or the defaultValue if the environment variable is not defined or the value is not valid. +func envDuration(key string, defaultValue time.Duration) time.Duration { + v := os.Getenv(key) + if v == "" { + return defaultValue + } + d, err := strconv.Atoi(v) + if err != nil { + global.Error(err, "parse duration", "environment variable", key, "value", v) + return defaultValue + } + if d <= 0 { + global.Error(errNonPositiveDuration, "non-positive duration", "environment variable", key, "value", v) + return defaultValue + } + return time.Duration(d) * time.Millisecond +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/exporter.go b/vendor/go.opentelemetry.io/otel/sdk/metric/exporter.go new file mode 100644 index 000000000..da8941b37 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/exporter.go @@ -0,0 +1,88 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "fmt" + + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +// ErrExporterShutdown is returned if Export or Shutdown are called after an +// Exporter has been Shutdown. +var ErrExporterShutdown = fmt.Errorf("exporter is shutdown") + +// Exporter handles the delivery of metric data to external receivers. This is +// the final component in the metric push pipeline. +type Exporter interface { + // Temporality returns the Temporality to use for an instrument kind. + // + // This method needs to be concurrent safe with itself and all the other + // Exporter methods. + Temporality(InstrumentKind) metricdata.Temporality + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. + + // Aggregation returns the Aggregation to use for an instrument kind. + // + // This method needs to be concurrent safe with itself and all the other + // Exporter methods. + Aggregation(InstrumentKind) Aggregation + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. + + // Export serializes and transmits metric data to a receiver. + // + // This is called synchronously, there is no concurrency safety + // requirement. Because of this, it is critical that all timeouts and + // cancellations of the passed context be honored. + // + // All retry logic must be contained in this function. The SDK does not + // implement any retry logic. All errors returned by this function are + // considered unrecoverable and will be reported to a configured error + // Handler. + // + // The passed ResourceMetrics may be reused when the call completes. If an + // exporter needs to hold this data after it returns, it needs to make a + // copy. + Export(context.Context, *metricdata.ResourceMetrics) error + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. + + // ForceFlush flushes any metric data held by an exporter. + // + // The deadline or cancellation of the passed context must be honored. An + // appropriate error should be returned in these situations. + // + // This method needs to be concurrent safe. + ForceFlush(context.Context) error + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. + + // Shutdown flushes all metric data held by an exporter and releases any + // held computational resources. + // + // The deadline or cancellation of the passed context must be honored. An + // appropriate error should be returned in these situations. + // + // After Shutdown is called, calls to Export will perform no operation and + // instead will return an error indicating the shutdown state. + // + // This method needs to be concurrent safe. + Shutdown(context.Context) error + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/instrument.go b/vendor/go.opentelemetry.io/otel/sdk/metric/instrument.go new file mode 100644 index 000000000..bb52f6ec7 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/instrument.go @@ -0,0 +1,348 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +//go:generate stringer -type=InstrumentKind -trimprefix=InstrumentKind + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "errors" + "fmt" + "strings" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/metric" + "go.opentelemetry.io/otel/metric/embedded" + "go.opentelemetry.io/otel/sdk/instrumentation" + "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" +) + +var ( + zeroInstrumentKind InstrumentKind + zeroScope instrumentation.Scope +) + +// InstrumentKind is the identifier of a group of instruments that all +// performing the same function. +type InstrumentKind uint8 + +const ( + // instrumentKindUndefined is an undefined instrument kind, it should not + // be used by any initialized type. + instrumentKindUndefined InstrumentKind = iota // nolint:deadcode,varcheck,unused + // InstrumentKindCounter identifies a group of instruments that record + // increasing values synchronously with the code path they are measuring. + InstrumentKindCounter + // InstrumentKindUpDownCounter identifies a group of instruments that + // record increasing and decreasing values synchronously with the code path + // they are measuring. + InstrumentKindUpDownCounter + // InstrumentKindHistogram identifies a group of instruments that record a + // distribution of values synchronously with the code path they are + // measuring. + InstrumentKindHistogram + // InstrumentKindObservableCounter identifies a group of instruments that + // record increasing values in an asynchronous callback. + InstrumentKindObservableCounter + // InstrumentKindObservableUpDownCounter identifies a group of instruments + // that record increasing and decreasing values in an asynchronous + // callback. + InstrumentKindObservableUpDownCounter + // InstrumentKindObservableGauge identifies a group of instruments that + // record current values in an asynchronous callback. + InstrumentKindObservableGauge +) + +type nonComparable [0]func() // nolint: unused // This is indeed used. + +// Instrument describes properties an instrument is created with. +type Instrument struct { + // Name is the human-readable identifier of the instrument. + Name string + // Description describes the purpose of the instrument. + Description string + // Kind defines the functional group of the instrument. + Kind InstrumentKind + // Unit is the unit of measurement recorded by the instrument. + Unit string + // Scope identifies the instrumentation that created the instrument. + Scope instrumentation.Scope + + // Ensure forward compatibility if non-comparable fields need to be added. + nonComparable // nolint: unused +} + +// empty returns if all fields of i are their zero-value. +func (i Instrument) empty() bool { + return i.Name == "" && + i.Description == "" && + i.Kind == zeroInstrumentKind && + i.Unit == "" && + i.Scope == zeroScope +} + +// matches returns whether all the non-zero-value fields of i match the +// corresponding fields of other. If i is empty it will match all other, and +// true will always be returned. +func (i Instrument) matches(other Instrument) bool { + return i.matchesName(other) && + i.matchesDescription(other) && + i.matchesKind(other) && + i.matchesUnit(other) && + i.matchesScope(other) +} + +// matchesName returns true if the Name of i is "" or it equals the Name of +// other, otherwise false. +func (i Instrument) matchesName(other Instrument) bool { + return i.Name == "" || i.Name == other.Name +} + +// matchesDescription returns true if the Description of i is "" or it equals +// the Description of other, otherwise false. +func (i Instrument) matchesDescription(other Instrument) bool { + return i.Description == "" || i.Description == other.Description +} + +// matchesKind returns true if the Kind of i is its zero-value or it equals the +// Kind of other, otherwise false. +func (i Instrument) matchesKind(other Instrument) bool { + return i.Kind == zeroInstrumentKind || i.Kind == other.Kind +} + +// matchesUnit returns true if the Unit of i is its zero-value or it equals the +// Unit of other, otherwise false. +func (i Instrument) matchesUnit(other Instrument) bool { + return i.Unit == "" || i.Unit == other.Unit +} + +// matchesScope returns true if the Scope of i is its zero-value or it equals +// the Scope of other, otherwise false. +func (i Instrument) matchesScope(other Instrument) bool { + return (i.Scope.Name == "" || i.Scope.Name == other.Scope.Name) && + (i.Scope.Version == "" || i.Scope.Version == other.Scope.Version) && + (i.Scope.SchemaURL == "" || i.Scope.SchemaURL == other.Scope.SchemaURL) +} + +// Stream describes the stream of data an instrument produces. +type Stream struct { + // Name is the human-readable identifier of the stream. + Name string + // Description describes the purpose of the data. + Description string + // Unit is the unit of measurement recorded. + Unit string + // Aggregation the stream uses for an instrument. + Aggregation Aggregation + // AttributeFilter is an attribute Filter applied to the attributes + // recorded for an instrument's measurement. If the filter returns false + // the attribute will not be recorded, otherwise, if it returns true, it + // will record the attribute. + // + // Use NewAllowKeysFilter from "go.opentelemetry.io/otel/attribute" to + // provide an allow-list of attribute keys here. + AttributeFilter attribute.Filter +} + +// instID are the identifying properties of a instrument. +type instID struct { + // Name is the name of the stream. + Name string + // Description is the description of the stream. + Description string + // Kind defines the functional group of the instrument. + Kind InstrumentKind + // Unit is the unit of the stream. + Unit string + // Number is the number type of the stream. + Number string +} + +// Returns a normalized copy of the instID i. +// +// Instrument names are considered case-insensitive. Standardize the instrument +// name to always be lowercase for the returned instID so it can be compared +// without the name casing affecting the comparison. +func (i instID) normalize() instID { + i.Name = strings.ToLower(i.Name) + return i +} + +type int64Inst struct { + measures []aggregate.Measure[int64] + + embedded.Int64Counter + embedded.Int64UpDownCounter + embedded.Int64Histogram +} + +var ( + _ metric.Int64Counter = (*int64Inst)(nil) + _ metric.Int64UpDownCounter = (*int64Inst)(nil) + _ metric.Int64Histogram = (*int64Inst)(nil) +) + +func (i *int64Inst) Add(ctx context.Context, val int64, opts ...metric.AddOption) { + c := metric.NewAddConfig(opts) + i.aggregate(ctx, val, c.Attributes()) +} + +func (i *int64Inst) Record(ctx context.Context, val int64, opts ...metric.RecordOption) { + c := metric.NewRecordConfig(opts) + i.aggregate(ctx, val, c.Attributes()) +} + +func (i *int64Inst) aggregate(ctx context.Context, val int64, s attribute.Set) { // nolint:revive // okay to shadow pkg with method. + if err := ctx.Err(); err != nil { + return + } + for _, in := range i.measures { + in(ctx, val, s) + } +} + +type float64Inst struct { + measures []aggregate.Measure[float64] + + embedded.Float64Counter + embedded.Float64UpDownCounter + embedded.Float64Histogram +} + +var ( + _ metric.Float64Counter = (*float64Inst)(nil) + _ metric.Float64UpDownCounter = (*float64Inst)(nil) + _ metric.Float64Histogram = (*float64Inst)(nil) +) + +func (i *float64Inst) Add(ctx context.Context, val float64, opts ...metric.AddOption) { + c := metric.NewAddConfig(opts) + i.aggregate(ctx, val, c.Attributes()) +} + +func (i *float64Inst) Record(ctx context.Context, val float64, opts ...metric.RecordOption) { + c := metric.NewRecordConfig(opts) + i.aggregate(ctx, val, c.Attributes()) +} + +func (i *float64Inst) aggregate(ctx context.Context, val float64, s attribute.Set) { + if err := ctx.Err(); err != nil { + return + } + for _, in := range i.measures { + in(ctx, val, s) + } +} + +// observablID is a comparable unique identifier of an observable. +type observablID[N int64 | float64] struct { + name string + description string + kind InstrumentKind + unit string + scope instrumentation.Scope +} + +type float64Observable struct { + metric.Float64Observable + *observable[float64] + + embedded.Float64ObservableCounter + embedded.Float64ObservableUpDownCounter + embedded.Float64ObservableGauge +} + +var ( + _ metric.Float64ObservableCounter = float64Observable{} + _ metric.Float64ObservableUpDownCounter = float64Observable{} + _ metric.Float64ObservableGauge = float64Observable{} +) + +func newFloat64Observable(m *meter, kind InstrumentKind, name, desc, u string, meas []aggregate.Measure[float64]) float64Observable { + return float64Observable{ + observable: newObservable(m, kind, name, desc, u, meas), + } +} + +type int64Observable struct { + metric.Int64Observable + *observable[int64] + + embedded.Int64ObservableCounter + embedded.Int64ObservableUpDownCounter + embedded.Int64ObservableGauge +} + +var ( + _ metric.Int64ObservableCounter = int64Observable{} + _ metric.Int64ObservableUpDownCounter = int64Observable{} + _ metric.Int64ObservableGauge = int64Observable{} +) + +func newInt64Observable(m *meter, kind InstrumentKind, name, desc, u string, meas []aggregate.Measure[int64]) int64Observable { + return int64Observable{ + observable: newObservable(m, kind, name, desc, u, meas), + } +} + +type observable[N int64 | float64] struct { + metric.Observable + observablID[N] + + meter *meter + measures []aggregate.Measure[N] +} + +func newObservable[N int64 | float64](m *meter, kind InstrumentKind, name, desc, u string, meas []aggregate.Measure[N]) *observable[N] { + return &observable[N]{ + observablID: observablID[N]{ + name: name, + description: desc, + kind: kind, + unit: u, + scope: m.scope, + }, + meter: m, + measures: meas, + } +} + +// observe records the val for the set of attrs. +func (o *observable[N]) observe(val N, s attribute.Set) { + for _, in := range o.measures { + in(context.Background(), val, s) + } +} + +var errEmptyAgg = errors.New("no aggregators for observable instrument") + +// registerable returns an error if the observable o should not be registered, +// and nil if it should. An errEmptyAgg error is returned if o is effectively a +// no-op because it does not have any aggregators. Also, an error is returned +// if scope defines a Meter other than the one o was created by. +func (o *observable[N]) registerable(m *meter) error { + if len(o.measures) == 0 { + return errEmptyAgg + } + if m != o.meter { + return fmt.Errorf( + "invalid registration: observable %q from Meter %q, registered with Meter %q", + o.name, + o.scope.Name, + m.scope.Name, + ) + } + return nil +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/instrumentkind_string.go b/vendor/go.opentelemetry.io/otel/sdk/metric/instrumentkind_string.go new file mode 100644 index 000000000..d5f9e982c --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/instrumentkind_string.go @@ -0,0 +1,29 @@ +// Code generated by "stringer -type=InstrumentKind -trimprefix=InstrumentKind"; DO NOT EDIT. + +package metric + +import "strconv" + +func _() { + // An "invalid array index" compiler error signifies that the constant values have changed. + // Re-run the stringer command to generate them again. + var x [1]struct{} + _ = x[instrumentKindUndefined-0] + _ = x[InstrumentKindCounter-1] + _ = x[InstrumentKindUpDownCounter-2] + _ = x[InstrumentKindHistogram-3] + _ = x[InstrumentKindObservableCounter-4] + _ = x[InstrumentKindObservableUpDownCounter-5] + _ = x[InstrumentKindObservableGauge-6] +} + +const _InstrumentKind_name = "instrumentKindUndefinedCounterUpDownCounterHistogramObservableCounterObservableUpDownCounterObservableGauge" + +var _InstrumentKind_index = [...]uint8{0, 23, 30, 43, 52, 69, 92, 107} + +func (i InstrumentKind) String() string { + if i >= InstrumentKind(len(_InstrumentKind_index)-1) { + return "InstrumentKind(" + strconv.FormatInt(int64(i), 10) + ")" + } + return _InstrumentKind_name[_InstrumentKind_index[i]:_InstrumentKind_index[i+1]] +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/aggregate.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/aggregate.go new file mode 100644 index 000000000..8dec14237 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/aggregate.go @@ -0,0 +1,133 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" + +import ( + "context" + "time" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +// now is used to return the current local time while allowing tests to +// override the default time.Now function. +var now = time.Now + +// Measure receives measurements to be aggregated. +type Measure[N int64 | float64] func(context.Context, N, attribute.Set) + +// ComputeAggregation stores the aggregate of measurements into dest and +// returns the number of aggregate data-points output. +type ComputeAggregation func(dest *metricdata.Aggregation) int + +// Builder builds an aggregate function. +type Builder[N int64 | float64] struct { + // Temporality is the temporality used for the returned aggregate function. + // + // If this is not provided a default of cumulative will be used (except for + // the last-value aggregate function where delta is the only appropriate + // temporality). + Temporality metricdata.Temporality + // Filter is the attribute filter the aggregate function will use on the + // input of measurements. + Filter attribute.Filter +} + +func (b Builder[N]) filter(f Measure[N]) Measure[N] { + if b.Filter != nil { + fltr := b.Filter // Copy to make it immutable after assignment. + return func(ctx context.Context, n N, a attribute.Set) { + fAttr, _ := a.Filter(fltr) + f(ctx, n, fAttr) + } + } + return f +} + +// LastValue returns a last-value aggregate function input and output. +// +// The Builder.Temporality is ignored and delta is use always. +func (b Builder[N]) LastValue() (Measure[N], ComputeAggregation) { + // Delta temporality is the only temporality that makes semantic sense for + // a last-value aggregate. + lv := newLastValue[N]() + + return b.filter(lv.measure), func(dest *metricdata.Aggregation) int { + // Ignore if dest is not a metricdata.Gauge. The chance for memory + // reuse of the DataPoints is missed (better luck next time). + gData, _ := (*dest).(metricdata.Gauge[N]) + lv.computeAggregation(&gData.DataPoints) + *dest = gData + + return len(gData.DataPoints) + } +} + +// PrecomputedSum returns a sum aggregate function input and output. The +// arguments passed to the input are expected to be the precomputed sum values. +func (b Builder[N]) PrecomputedSum(monotonic bool) (Measure[N], ComputeAggregation) { + s := newPrecomputedSum[N](monotonic) + switch b.Temporality { + case metricdata.DeltaTemporality: + return b.filter(s.measure), s.delta + default: + return b.filter(s.measure), s.cumulative + } +} + +// Sum returns a sum aggregate function input and output. +func (b Builder[N]) Sum(monotonic bool) (Measure[N], ComputeAggregation) { + s := newSum[N](monotonic) + switch b.Temporality { + case metricdata.DeltaTemporality: + return b.filter(s.measure), s.delta + default: + return b.filter(s.measure), s.cumulative + } +} + +// ExplicitBucketHistogram returns a histogram aggregate function input and +// output. +func (b Builder[N]) ExplicitBucketHistogram(boundaries []float64, noMinMax, noSum bool) (Measure[N], ComputeAggregation) { + h := newHistogram[N](boundaries, noMinMax, noSum) + switch b.Temporality { + case metricdata.DeltaTemporality: + return b.filter(h.measure), h.delta + default: + return b.filter(h.measure), h.cumulative + } +} + +// ExponentialBucketHistogram returns a histogram aggregate function input and +// output. +func (b Builder[N]) ExponentialBucketHistogram(maxSize, maxScale int32, noMinMax, noSum bool) (Measure[N], ComputeAggregation) { + h := newExponentialHistogram[N](maxSize, maxScale, noMinMax, noSum) + switch b.Temporality { + case metricdata.DeltaTemporality: + return b.filter(h.measure), h.delta + default: + return b.filter(h.measure), h.cumulative + } +} + +// reset ensures s has capacity and sets it length. If the capacity of s too +// small, a new slice is returned with the specified capacity and length. +func reset[T any](s []T, length, capacity int) []T { + if cap(s) < capacity { + return make([]T, length, capacity) + } + return s[:length] +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/doc.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/doc.go new file mode 100644 index 000000000..e83a2693f --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/doc.go @@ -0,0 +1,18 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +// Package aggregate provides aggregate types used compute aggregations and +// cycle the state of metric measurements made by the SDK. These types and +// functionality are meant only for internal SDK use. +package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go new file mode 100644 index 000000000..98b7dc1e0 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go @@ -0,0 +1,432 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" + +import ( + "context" + "errors" + "math" + "sync" + "time" + + "go.opentelemetry.io/otel" + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +const ( + expoMaxScale = 20 + expoMinScale = -10 + + smallestNonZeroNormalFloat64 = 0x1p-1022 + + // These redefine the Math constants with a type, so the compiler won't coerce + // them into an int on 32 bit platforms. + maxInt64 int64 = math.MaxInt64 + minInt64 int64 = math.MinInt64 +) + +// expoHistogramDataPoint is a single data point in an exponential histogram. +type expoHistogramDataPoint[N int64 | float64] struct { + count uint64 + min N + max N + sum N + + maxSize int + noMinMax bool + noSum bool + + scale int + + posBuckets expoBuckets + negBuckets expoBuckets + zeroCount uint64 +} + +func newExpoHistogramDataPoint[N int64 | float64](maxSize, maxScale int, noMinMax, noSum bool) *expoHistogramDataPoint[N] { + f := math.MaxFloat64 + max := N(f) // if N is int64, max will overflow to -9223372036854775808 + min := N(-f) + if N(maxInt64) > N(f) { + max = N(maxInt64) + min = N(minInt64) + } + return &expoHistogramDataPoint[N]{ + min: max, + max: min, + maxSize: maxSize, + noMinMax: noMinMax, + noSum: noSum, + scale: maxScale, + } +} + +// record adds a new measurement to the histogram. It will rescale the buckets if needed. +func (p *expoHistogramDataPoint[N]) record(v N) { + p.count++ + + if !p.noMinMax { + if v < p.min { + p.min = v + } + if v > p.max { + p.max = v + } + } + if !p.noSum { + p.sum += v + } + + absV := math.Abs(float64(v)) + + if float64(absV) == 0.0 { + p.zeroCount++ + return + } + + bin := p.getBin(absV) + + bucket := &p.posBuckets + if v < 0 { + bucket = &p.negBuckets + } + + // If the new bin would make the counts larger than maxScale, we need to + // downscale current measurements. + if scaleDelta := p.scaleChange(bin, bucket.startBin, len(bucket.counts)); scaleDelta > 0 { + if p.scale-scaleDelta < expoMinScale { + // With a scale of -10 there is only two buckets for the whole range of float64 values. + // This can only happen if there is a max size of 1. + otel.Handle(errors.New("exponential histogram scale underflow")) + return + } + // Downscale + p.scale -= scaleDelta + p.posBuckets.downscale(scaleDelta) + p.negBuckets.downscale(scaleDelta) + + bin = p.getBin(absV) + } + + bucket.record(bin) +} + +// getBin returns the bin v should be recorded into. +func (p *expoHistogramDataPoint[N]) getBin(v float64) int { + frac, exp := math.Frexp(v) + if p.scale <= 0 { + // Because of the choice of fraction is always 1 power of two higher than we want. + correction := 1 + if frac == .5 { + // If v is an exact power of two the frac will be .5 and the exp + // will be one higher than we want. + correction = 2 + } + return (exp - correction) >> (-p.scale) + } + return exp<<p.scale + int(math.Log(frac)*scaleFactors[p.scale]) - 1 +} + +// scaleFactors are constants used in calculating the logarithm index. They are +// equivalent to 2^index/log(2). +var scaleFactors = [21]float64{ + math.Ldexp(math.Log2E, 0), + math.Ldexp(math.Log2E, 1), + math.Ldexp(math.Log2E, 2), + math.Ldexp(math.Log2E, 3), + math.Ldexp(math.Log2E, 4), + math.Ldexp(math.Log2E, 5), + math.Ldexp(math.Log2E, 6), + math.Ldexp(math.Log2E, 7), + math.Ldexp(math.Log2E, 8), + math.Ldexp(math.Log2E, 9), + math.Ldexp(math.Log2E, 10), + math.Ldexp(math.Log2E, 11), + math.Ldexp(math.Log2E, 12), + math.Ldexp(math.Log2E, 13), + math.Ldexp(math.Log2E, 14), + math.Ldexp(math.Log2E, 15), + math.Ldexp(math.Log2E, 16), + math.Ldexp(math.Log2E, 17), + math.Ldexp(math.Log2E, 18), + math.Ldexp(math.Log2E, 19), + math.Ldexp(math.Log2E, 20), +} + +// scaleChange returns the magnitude of the scale change needed to fit bin in +// the bucket. If no scale change is needed 0 is returned. +func (p *expoHistogramDataPoint[N]) scaleChange(bin, startBin, length int) int { + if length == 0 { + // No need to rescale if there are no buckets. + return 0 + } + + low := startBin + high := bin + if startBin >= bin { + low = bin + high = startBin + length - 1 + } + + count := 0 + for high-low >= p.maxSize { + low = low >> 1 + high = high >> 1 + count++ + if count > expoMaxScale-expoMinScale { + return count + } + } + return count +} + +// expoBuckets is a set of buckets in an exponential histogram. +type expoBuckets struct { + startBin int + counts []uint64 +} + +// record increments the count for the given bin, and expands the buckets if needed. +// Size changes must be done before calling this function. +func (b *expoBuckets) record(bin int) { + if len(b.counts) == 0 { + b.counts = []uint64{1} + b.startBin = bin + return + } + + endBin := b.startBin + len(b.counts) - 1 + + // if the new bin is inside the current range + if bin >= b.startBin && bin <= endBin { + b.counts[bin-b.startBin]++ + return + } + // if the new bin is before the current start add spaces to the counts + if bin < b.startBin { + origLen := len(b.counts) + newLength := endBin - bin + 1 + shift := b.startBin - bin + + if newLength > cap(b.counts) { + b.counts = append(b.counts, make([]uint64, newLength-len(b.counts))...) + } + + copy(b.counts[shift:origLen+shift], b.counts[:]) + b.counts = b.counts[:newLength] + for i := 1; i < shift; i++ { + b.counts[i] = 0 + } + b.startBin = bin + b.counts[0] = 1 + return + } + // if the new is after the end add spaces to the end + if bin > endBin { + if bin-b.startBin < cap(b.counts) { + b.counts = b.counts[:bin-b.startBin+1] + for i := endBin + 1 - b.startBin; i < len(b.counts); i++ { + b.counts[i] = 0 + } + b.counts[bin-b.startBin] = 1 + return + } + + end := make([]uint64, bin-b.startBin-len(b.counts)+1) + b.counts = append(b.counts, end...) + b.counts[bin-b.startBin] = 1 + } +} + +// downscale shrinks a bucket by a factor of 2*s. It will sum counts into the +// correct lower resolution bucket. +func (b *expoBuckets) downscale(delta int) { + // Example + // delta = 2 + // Original offset: -6 + // Counts: [ 3, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + // bins: -6 -5, -4, -3, -2, -1, 0, 1, 2, 3, 4 + // new bins:-2, -2, -1, -1, -1, -1, 0, 0, 0, 0, 1 + // new Offset: -2 + // new Counts: [4, 14, 30, 10] + + if len(b.counts) <= 1 || delta < 1 { + b.startBin = b.startBin >> delta + return + } + + steps := 1 << delta + offset := b.startBin % steps + offset = (offset + steps) % steps // to make offset positive + for i := 1; i < len(b.counts); i++ { + idx := i + offset + if idx%steps == 0 { + b.counts[idx/steps] = b.counts[i] + continue + } + b.counts[idx/steps] += b.counts[i] + } + + lastIdx := (len(b.counts) - 1 + offset) / steps + b.counts = b.counts[:lastIdx+1] + b.startBin = b.startBin >> delta +} + +// newExponentialHistogram returns an Aggregator that summarizes a set of +// measurements as an exponential histogram. Each histogram is scoped by attributes +// and the aggregation cycle the measurements were made in. +func newExponentialHistogram[N int64 | float64](maxSize, maxScale int32, noMinMax, noSum bool) *expoHistogram[N] { + return &expoHistogram[N]{ + noSum: noSum, + noMinMax: noMinMax, + maxSize: int(maxSize), + maxScale: int(maxScale), + + values: make(map[attribute.Set]*expoHistogramDataPoint[N]), + + start: now(), + } +} + +// expoHistogram summarizes a set of measurements as an histogram with exponentially +// defined buckets. +type expoHistogram[N int64 | float64] struct { + noSum bool + noMinMax bool + maxSize int + maxScale int + + values map[attribute.Set]*expoHistogramDataPoint[N] + valuesMu sync.Mutex + + start time.Time +} + +func (e *expoHistogram[N]) measure(_ context.Context, value N, attr attribute.Set) { + // Ignore NaN and infinity. + if math.IsInf(float64(value), 0) || math.IsNaN(float64(value)) { + return + } + + e.valuesMu.Lock() + defer e.valuesMu.Unlock() + + v, ok := e.values[attr] + if !ok { + v = newExpoHistogramDataPoint[N](e.maxSize, e.maxScale, e.noMinMax, e.noSum) + e.values[attr] = v + } + v.record(value) +} + +func (e *expoHistogram[N]) delta(dest *metricdata.Aggregation) int { + t := now() + + // If *dest is not a metricdata.ExponentialHistogram, memory reuse is missed. + // In that case, use the zero-value h and hope for better alignment next cycle. + h, _ := (*dest).(metricdata.ExponentialHistogram[N]) + h.Temporality = metricdata.DeltaTemporality + + e.valuesMu.Lock() + defer e.valuesMu.Unlock() + + n := len(e.values) + hDPts := reset(h.DataPoints, n, n) + + var i int + for a, b := range e.values { + hDPts[i].Attributes = a + hDPts[i].StartTime = e.start + hDPts[i].Time = t + hDPts[i].Count = b.count + hDPts[i].Scale = int32(b.scale) + hDPts[i].ZeroCount = b.zeroCount + hDPts[i].ZeroThreshold = 0.0 + + hDPts[i].PositiveBucket.Offset = int32(b.posBuckets.startBin) + hDPts[i].PositiveBucket.Counts = reset(hDPts[i].PositiveBucket.Counts, len(b.posBuckets.counts), len(b.posBuckets.counts)) + copy(hDPts[i].PositiveBucket.Counts, b.posBuckets.counts) + + hDPts[i].NegativeBucket.Offset = int32(b.negBuckets.startBin) + hDPts[i].NegativeBucket.Counts = reset(hDPts[i].NegativeBucket.Counts, len(b.negBuckets.counts), len(b.negBuckets.counts)) + + if !e.noSum { + hDPts[i].Sum = b.sum + } + if !e.noMinMax { + hDPts[i].Min = metricdata.NewExtrema(b.min) + hDPts[i].Max = metricdata.NewExtrema(b.max) + } + + delete(e.values, a) + i++ + } + e.start = t + h.DataPoints = hDPts + *dest = h + return n +} + +func (e *expoHistogram[N]) cumulative(dest *metricdata.Aggregation) int { + t := now() + + // If *dest is not a metricdata.ExponentialHistogram, memory reuse is missed. + // In that case, use the zero-value h and hope for better alignment next cycle. + h, _ := (*dest).(metricdata.ExponentialHistogram[N]) + h.Temporality = metricdata.CumulativeTemporality + + e.valuesMu.Lock() + defer e.valuesMu.Unlock() + + n := len(e.values) + hDPts := reset(h.DataPoints, n, n) + + var i int + for a, b := range e.values { + hDPts[i].Attributes = a + hDPts[i].StartTime = e.start + hDPts[i].Time = t + hDPts[i].Count = b.count + hDPts[i].Scale = int32(b.scale) + hDPts[i].ZeroCount = b.zeroCount + hDPts[i].ZeroThreshold = 0.0 + + hDPts[i].PositiveBucket.Offset = int32(b.posBuckets.startBin) + hDPts[i].PositiveBucket.Counts = reset(hDPts[i].PositiveBucket.Counts, len(b.posBuckets.counts), len(b.posBuckets.counts)) + copy(hDPts[i].PositiveBucket.Counts, b.posBuckets.counts) + + hDPts[i].NegativeBucket.Offset = int32(b.negBuckets.startBin) + hDPts[i].NegativeBucket.Counts = reset(hDPts[i].NegativeBucket.Counts, len(b.negBuckets.counts), len(b.negBuckets.counts)) + + if !e.noSum { + hDPts[i].Sum = b.sum + } + if !e.noMinMax { + hDPts[i].Min = metricdata.NewExtrema(b.min) + hDPts[i].Max = metricdata.NewExtrema(b.max) + } + + i++ + // TODO (#3006): This will use an unbounded amount of memory if there + // are unbounded number of attribute sets being aggregated. Attribute + // sets that become "stale" need to be forgotten so this will not + // overload the system. + } + + h.DataPoints = hDPts + *dest = h + return n +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/histogram.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/histogram.go new file mode 100644 index 000000000..62ec51e1f --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/histogram.go @@ -0,0 +1,231 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" + +import ( + "context" + "sort" + "sync" + "time" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +type buckets[N int64 | float64] struct { + counts []uint64 + count uint64 + total N + min, max N +} + +// newBuckets returns buckets with n bins. +func newBuckets[N int64 | float64](n int) *buckets[N] { + return &buckets[N]{counts: make([]uint64, n)} +} + +func (b *buckets[N]) sum(value N) { b.total += value } + +func (b *buckets[N]) bin(idx int, value N) { + b.counts[idx]++ + b.count++ + if value < b.min { + b.min = value + } else if value > b.max { + b.max = value + } +} + +// histValues summarizes a set of measurements as an histValues with +// explicitly defined buckets. +type histValues[N int64 | float64] struct { + noSum bool + bounds []float64 + + values map[attribute.Set]*buckets[N] + valuesMu sync.Mutex +} + +func newHistValues[N int64 | float64](bounds []float64, noSum bool) *histValues[N] { + // The responsibility of keeping all buckets correctly associated with the + // passed boundaries is ultimately this type's responsibility. Make a copy + // here so we can always guarantee this. Or, in the case of failure, have + // complete control over the fix. + b := make([]float64, len(bounds)) + copy(b, bounds) + sort.Float64s(b) + return &histValues[N]{ + noSum: noSum, + bounds: b, + values: make(map[attribute.Set]*buckets[N]), + } +} + +// Aggregate records the measurement value, scoped by attr, and aggregates it +// into a histogram. +func (s *histValues[N]) measure(_ context.Context, value N, attr attribute.Set) { + // This search will return an index in the range [0, len(s.bounds)], where + // it will return len(s.bounds) if value is greater than the last element + // of s.bounds. This aligns with the buckets in that the length of buckets + // is len(s.bounds)+1, with the last bucket representing: + // (s.bounds[len(s.bounds)-1], +∞). + idx := sort.SearchFloat64s(s.bounds, float64(value)) + + s.valuesMu.Lock() + defer s.valuesMu.Unlock() + + b, ok := s.values[attr] + if !ok { + // N+1 buckets. For example: + // + // bounds = [0, 5, 10] + // + // Then, + // + // buckets = (-∞, 0], (0, 5.0], (5.0, 10.0], (10.0, +∞) + b = newBuckets[N](len(s.bounds) + 1) + // Ensure min and max are recorded values (not zero), for new buckets. + b.min, b.max = value, value + s.values[attr] = b + } + b.bin(idx, value) + if !s.noSum { + b.sum(value) + } +} + +// newHistogram returns an Aggregator that summarizes a set of measurements as +// an histogram. +func newHistogram[N int64 | float64](boundaries []float64, noMinMax, noSum bool) *histogram[N] { + return &histogram[N]{ + histValues: newHistValues[N](boundaries, noSum), + noMinMax: noMinMax, + start: now(), + } +} + +// histogram summarizes a set of measurements as an histogram with explicitly +// defined buckets. +type histogram[N int64 | float64] struct { + *histValues[N] + + noMinMax bool + start time.Time +} + +func (s *histogram[N]) delta(dest *metricdata.Aggregation) int { + t := now() + + // If *dest is not a metricdata.Histogram, memory reuse is missed. In that + // case, use the zero-value h and hope for better alignment next cycle. + h, _ := (*dest).(metricdata.Histogram[N]) + h.Temporality = metricdata.DeltaTemporality + + s.valuesMu.Lock() + defer s.valuesMu.Unlock() + + // Do not allow modification of our copy of bounds. + bounds := make([]float64, len(s.bounds)) + copy(bounds, s.bounds) + + n := len(s.values) + hDPts := reset(h.DataPoints, n, n) + + var i int + for a, b := range s.values { + hDPts[i].Attributes = a + hDPts[i].StartTime = s.start + hDPts[i].Time = t + hDPts[i].Count = b.count + hDPts[i].Bounds = bounds + hDPts[i].BucketCounts = b.counts + + if !s.noSum { + hDPts[i].Sum = b.total + } + + if !s.noMinMax { + hDPts[i].Min = metricdata.NewExtrema(b.min) + hDPts[i].Max = metricdata.NewExtrema(b.max) + } + + // Unused attribute sets do not report. + delete(s.values, a) + i++ + } + // The delta collection cycle resets. + s.start = t + + h.DataPoints = hDPts + *dest = h + + return n +} + +func (s *histogram[N]) cumulative(dest *metricdata.Aggregation) int { + t := now() + + // If *dest is not a metricdata.Histogram, memory reuse is missed. In that + // case, use the zero-value h and hope for better alignment next cycle. + h, _ := (*dest).(metricdata.Histogram[N]) + h.Temporality = metricdata.CumulativeTemporality + + s.valuesMu.Lock() + defer s.valuesMu.Unlock() + + // Do not allow modification of our copy of bounds. + bounds := make([]float64, len(s.bounds)) + copy(bounds, s.bounds) + + n := len(s.values) + hDPts := reset(h.DataPoints, n, n) + + var i int + for a, b := range s.values { + // The HistogramDataPoint field values returned need to be copies of + // the buckets value as we will keep updating them. + // + // TODO (#3047): Making copies for bounds and counts incurs a large + // memory allocation footprint. Alternatives should be explored. + counts := make([]uint64, len(b.counts)) + copy(counts, b.counts) + + hDPts[i].Attributes = a + hDPts[i].StartTime = s.start + hDPts[i].Time = t + hDPts[i].Count = b.count + hDPts[i].Bounds = bounds + hDPts[i].BucketCounts = counts + + if !s.noSum { + hDPts[i].Sum = b.total + } + + if !s.noMinMax { + hDPts[i].Min = metricdata.NewExtrema(b.min) + hDPts[i].Max = metricdata.NewExtrema(b.max) + } + i++ + // TODO (#3006): This will use an unbounded amount of memory if there + // are unbounded number of attribute sets being aggregated. Attribute + // sets that become "stale" need to be forgotten so this will not + // overload the system. + } + + h.DataPoints = hDPts + *dest = h + + return n +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/lastvalue.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/lastvalue.go new file mode 100644 index 000000000..6af2d6061 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/lastvalue.go @@ -0,0 +1,68 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" + +import ( + "context" + "sync" + "time" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +// datapoint is timestamped measurement data. +type datapoint[N int64 | float64] struct { + timestamp time.Time + value N +} + +func newLastValue[N int64 | float64]() *lastValue[N] { + return &lastValue[N]{values: make(map[attribute.Set]datapoint[N])} +} + +// lastValue summarizes a set of measurements as the last one made. +type lastValue[N int64 | float64] struct { + sync.Mutex + + values map[attribute.Set]datapoint[N] +} + +func (s *lastValue[N]) measure(ctx context.Context, value N, attr attribute.Set) { + d := datapoint[N]{timestamp: now(), value: value} + s.Lock() + s.values[attr] = d + s.Unlock() +} + +func (s *lastValue[N]) computeAggregation(dest *[]metricdata.DataPoint[N]) { + s.Lock() + defer s.Unlock() + + n := len(s.values) + *dest = reset(*dest, n, n) + + var i int + for a, v := range s.values { + (*dest)[i].Attributes = a + // The event time is the only meaningful timestamp, StartTime is + // ignored. + (*dest)[i].Time = v.timestamp + (*dest)[i].Value = v.value + // Do not report stale values. + delete(s.values, a) + i++ + } +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/sum.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/sum.go new file mode 100644 index 000000000..1e52ff0d1 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/sum.go @@ -0,0 +1,222 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" + +import ( + "context" + "sync" + "time" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +// valueMap is the storage for sums. +type valueMap[N int64 | float64] struct { + sync.Mutex + values map[attribute.Set]N +} + +func newValueMap[N int64 | float64]() *valueMap[N] { + return &valueMap[N]{values: make(map[attribute.Set]N)} +} + +func (s *valueMap[N]) measure(_ context.Context, value N, attr attribute.Set) { + s.Lock() + s.values[attr] += value + s.Unlock() +} + +// newSum returns an aggregator that summarizes a set of measurements as their +// arithmetic sum. Each sum is scoped by attributes and the aggregation cycle +// the measurements were made in. +func newSum[N int64 | float64](monotonic bool) *sum[N] { + return &sum[N]{ + valueMap: newValueMap[N](), + monotonic: monotonic, + start: now(), + } +} + +// sum summarizes a set of measurements made as their arithmetic sum. +type sum[N int64 | float64] struct { + *valueMap[N] + + monotonic bool + start time.Time +} + +func (s *sum[N]) delta(dest *metricdata.Aggregation) int { + t := now() + + // If *dest is not a metricdata.Sum, memory reuse is missed. In that case, + // use the zero-value sData and hope for better alignment next cycle. + sData, _ := (*dest).(metricdata.Sum[N]) + sData.Temporality = metricdata.DeltaTemporality + sData.IsMonotonic = s.monotonic + + s.Lock() + defer s.Unlock() + + n := len(s.values) + dPts := reset(sData.DataPoints, n, n) + + var i int + for attr, value := range s.values { + dPts[i].Attributes = attr + dPts[i].StartTime = s.start + dPts[i].Time = t + dPts[i].Value = value + // Do not report stale values. + delete(s.values, attr) + i++ + } + // The delta collection cycle resets. + s.start = t + + sData.DataPoints = dPts + *dest = sData + + return n +} + +func (s *sum[N]) cumulative(dest *metricdata.Aggregation) int { + t := now() + + // If *dest is not a metricdata.Sum, memory reuse is missed. In that case, + // use the zero-value sData and hope for better alignment next cycle. + sData, _ := (*dest).(metricdata.Sum[N]) + sData.Temporality = metricdata.CumulativeTemporality + sData.IsMonotonic = s.monotonic + + s.Lock() + defer s.Unlock() + + n := len(s.values) + dPts := reset(sData.DataPoints, n, n) + + var i int + for attr, value := range s.values { + dPts[i].Attributes = attr + dPts[i].StartTime = s.start + dPts[i].Time = t + dPts[i].Value = value + // TODO (#3006): This will use an unbounded amount of memory if there + // are unbounded number of attribute sets being aggregated. Attribute + // sets that become "stale" need to be forgotten so this will not + // overload the system. + i++ + } + + sData.DataPoints = dPts + *dest = sData + + return n +} + +// newPrecomputedSum returns an aggregator that summarizes a set of +// observatrions as their arithmetic sum. Each sum is scoped by attributes and +// the aggregation cycle the measurements were made in. +func newPrecomputedSum[N int64 | float64](monotonic bool) *precomputedSum[N] { + return &precomputedSum[N]{ + valueMap: newValueMap[N](), + monotonic: monotonic, + start: now(), + } +} + +// precomputedSum summarizes a set of observatrions as their arithmetic sum. +type precomputedSum[N int64 | float64] struct { + *valueMap[N] + + monotonic bool + start time.Time + + reported map[attribute.Set]N +} + +func (s *precomputedSum[N]) delta(dest *metricdata.Aggregation) int { + t := now() + newReported := make(map[attribute.Set]N) + + // If *dest is not a metricdata.Sum, memory reuse is missed. In that case, + // use the zero-value sData and hope for better alignment next cycle. + sData, _ := (*dest).(metricdata.Sum[N]) + sData.Temporality = metricdata.DeltaTemporality + sData.IsMonotonic = s.monotonic + + s.Lock() + defer s.Unlock() + + n := len(s.values) + dPts := reset(sData.DataPoints, n, n) + + var i int + for attr, value := range s.values { + delta := value - s.reported[attr] + + dPts[i].Attributes = attr + dPts[i].StartTime = s.start + dPts[i].Time = t + dPts[i].Value = delta + + newReported[attr] = value + // Unused attribute sets do not report. + delete(s.values, attr) + i++ + } + // Unused attribute sets are forgotten. + s.reported = newReported + // The delta collection cycle resets. + s.start = t + + sData.DataPoints = dPts + *dest = sData + + return n +} + +func (s *precomputedSum[N]) cumulative(dest *metricdata.Aggregation) int { + t := now() + + // If *dest is not a metricdata.Sum, memory reuse is missed. In that case, + // use the zero-value sData and hope for better alignment next cycle. + sData, _ := (*dest).(metricdata.Sum[N]) + sData.Temporality = metricdata.CumulativeTemporality + sData.IsMonotonic = s.monotonic + + s.Lock() + defer s.Unlock() + + n := len(s.values) + dPts := reset(sData.DataPoints, n, n) + + var i int + for attr, value := range s.values { + dPts[i].Attributes = attr + dPts[i].StartTime = s.start + dPts[i].Time = t + dPts[i].Value = value + + // Unused attribute sets do not report. + delete(s.values, attr) + i++ + } + + sData.DataPoints = dPts + *dest = sData + + return n +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/reuse_slice.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/reuse_slice.go new file mode 100644 index 000000000..9695492b0 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/reuse_slice.go @@ -0,0 +1,24 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package internal // import "go.opentelemetry.io/otel/sdk/metric/internal" + +// ReuseSlice returns a zeroed view of slice if its capacity is greater than or +// equal to n. Otherwise, it returns a new []T with capacity equal to n. +func ReuseSlice[T any](slice []T, n int) []T { + if cap(slice) >= n { + return slice[:n] + } + return make([]T, n) +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/manual_reader.go b/vendor/go.opentelemetry.io/otel/sdk/metric/manual_reader.go new file mode 100644 index 000000000..7d524de9e --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/manual_reader.go @@ -0,0 +1,214 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "errors" + "fmt" + "sync" + "sync/atomic" + + "go.opentelemetry.io/otel/internal/global" + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +// ManualReader is a simple Reader that allows an application to +// read metrics on demand. +type ManualReader struct { + sdkProducer atomic.Value + shutdownOnce sync.Once + + mu sync.Mutex + isShutdown bool + externalProducers atomic.Value + + temporalitySelector TemporalitySelector + aggregationSelector AggregationSelector +} + +// Compile time check the manualReader implements Reader and is comparable. +var _ = map[Reader]struct{}{&ManualReader{}: {}} + +// NewManualReader returns a Reader which is directly called to collect metrics. +func NewManualReader(opts ...ManualReaderOption) *ManualReader { + cfg := newManualReaderConfig(opts) + r := &ManualReader{ + temporalitySelector: cfg.temporalitySelector, + aggregationSelector: cfg.aggregationSelector, + } + r.externalProducers.Store(cfg.producers) + return r +} + +// register stores the sdkProducer which enables the caller +// to read metrics from the SDK on demand. +func (mr *ManualReader) register(p sdkProducer) { + // Only register once. If producer is already set, do nothing. + if !mr.sdkProducer.CompareAndSwap(nil, produceHolder{produce: p.produce}) { + msg := "did not register manual reader" + global.Error(errDuplicateRegister, msg) + } +} + +// temporality reports the Temporality for the instrument kind provided. +func (mr *ManualReader) temporality(kind InstrumentKind) metricdata.Temporality { + return mr.temporalitySelector(kind) +} + +// aggregation returns what Aggregation to use for kind. +func (mr *ManualReader) aggregation(kind InstrumentKind) Aggregation { // nolint:revive // import-shadow for method scoped by type. + return mr.aggregationSelector(kind) +} + +// Shutdown closes any connections and frees any resources used by the reader. +// +// This method is safe to call concurrently. +func (mr *ManualReader) Shutdown(context.Context) error { + err := ErrReaderShutdown + mr.shutdownOnce.Do(func() { + // Any future call to Collect will now return ErrReaderShutdown. + mr.sdkProducer.Store(produceHolder{ + produce: shutdownProducer{}.produce, + }) + mr.mu.Lock() + defer mr.mu.Unlock() + mr.isShutdown = true + // release references to Producer(s) + mr.externalProducers.Store([]Producer{}) + err = nil + }) + return err +} + +// Collect gathers all metric data related to the Reader from +// the SDK and other Producers and stores the result in rm. +// +// Collect will return an error if called after shutdown. +// Collect will return an error if rm is a nil ResourceMetrics. +// Collect will return an error if the context's Done channel is closed. +// +// This method is safe to call concurrently. +func (mr *ManualReader) Collect(ctx context.Context, rm *metricdata.ResourceMetrics) error { + if rm == nil { + return errors.New("manual reader: *metricdata.ResourceMetrics is nil") + } + p := mr.sdkProducer.Load() + if p == nil { + return ErrReaderNotRegistered + } + + ph, ok := p.(produceHolder) + if !ok { + // The atomic.Value is entirely in the periodicReader's control so + // this should never happen. In the unforeseen case that this does + // happen, return an error instead of panicking so a users code does + // not halt in the processes. + err := fmt.Errorf("manual reader: invalid producer: %T", p) + return err + } + + err := ph.produce(ctx, rm) + if err != nil { + return err + } + var errs []error + for _, producer := range mr.externalProducers.Load().([]Producer) { + externalMetrics, err := producer.Produce(ctx) + if err != nil { + errs = append(errs, err) + } + rm.ScopeMetrics = append(rm.ScopeMetrics, externalMetrics...) + } + + global.Debug("ManualReader collection", "Data", rm) + + return unifyErrors(errs) +} + +// MarshalLog returns logging data about the ManualReader. +func (r *ManualReader) MarshalLog() interface{} { + r.mu.Lock() + down := r.isShutdown + r.mu.Unlock() + return struct { + Type string + Registered bool + Shutdown bool + }{ + Type: "ManualReader", + Registered: r.sdkProducer.Load() != nil, + Shutdown: down, + } +} + +// manualReaderConfig contains configuration options for a ManualReader. +type manualReaderConfig struct { + temporalitySelector TemporalitySelector + aggregationSelector AggregationSelector + producers []Producer +} + +// newManualReaderConfig returns a manualReaderConfig configured with options. +func newManualReaderConfig(opts []ManualReaderOption) manualReaderConfig { + cfg := manualReaderConfig{ + temporalitySelector: DefaultTemporalitySelector, + aggregationSelector: DefaultAggregationSelector, + } + for _, opt := range opts { + cfg = opt.applyManual(cfg) + } + return cfg +} + +// ManualReaderOption applies a configuration option value to a ManualReader. +type ManualReaderOption interface { + applyManual(manualReaderConfig) manualReaderConfig +} + +// WithTemporalitySelector sets the TemporalitySelector a reader will use to +// determine the Temporality of an instrument based on its kind. If this +// option is not used, the reader will use the DefaultTemporalitySelector. +func WithTemporalitySelector(selector TemporalitySelector) ManualReaderOption { + return temporalitySelectorOption{selector: selector} +} + +type temporalitySelectorOption struct { + selector func(instrument InstrumentKind) metricdata.Temporality +} + +// applyManual returns a manualReaderConfig with option applied. +func (t temporalitySelectorOption) applyManual(mrc manualReaderConfig) manualReaderConfig { + mrc.temporalitySelector = t.selector + return mrc +} + +// WithAggregationSelector sets the AggregationSelector a reader will use to +// determine the aggregation to use for an instrument based on its kind. If +// this option is not used, the reader will use the DefaultAggregationSelector +// or the aggregation explicitly passed for a view matching an instrument. +func WithAggregationSelector(selector AggregationSelector) ManualReaderOption { + return aggregationSelectorOption{selector: selector} +} + +type aggregationSelectorOption struct { + selector AggregationSelector +} + +// applyManual returns a manualReaderConfig with option applied. +func (t aggregationSelectorOption) applyManual(c manualReaderConfig) manualReaderConfig { + c.aggregationSelector = t.selector + return c +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/meter.go b/vendor/go.opentelemetry.io/otel/sdk/metric/meter.go new file mode 100644 index 000000000..7f51ec512 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/meter.go @@ -0,0 +1,595 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "errors" + "fmt" + + "go.opentelemetry.io/otel/internal/global" + "go.opentelemetry.io/otel/metric" + "go.opentelemetry.io/otel/metric/embedded" + "go.opentelemetry.io/otel/sdk/instrumentation" + "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" +) + +// ErrInstrumentName indicates the created instrument has an invalid name. +// Valid names must consist of 255 or fewer characters including alphanumeric, _, ., -, / and start with a letter. +var ErrInstrumentName = errors.New("invalid instrument name") + +// meter handles the creation and coordination of all metric instruments. A +// meter represents a single instrumentation scope; all metric telemetry +// produced by an instrumentation scope will use metric instruments from a +// single meter. +type meter struct { + embedded.Meter + + scope instrumentation.Scope + pipes pipelines + + int64Resolver resolver[int64] + float64Resolver resolver[float64] +} + +func newMeter(s instrumentation.Scope, p pipelines) *meter { + // viewCache ensures instrument conflicts, including number conflicts, this + // meter is asked to create are logged to the user. + var viewCache cache[string, instID] + + return &meter{ + scope: s, + pipes: p, + int64Resolver: newResolver[int64](p, &viewCache), + float64Resolver: newResolver[float64](p, &viewCache), + } +} + +// Compile-time check meter implements metric.Meter. +var _ metric.Meter = (*meter)(nil) + +// Int64Counter returns a new instrument identified by name and configured with +// options. The instrument is used to synchronously record increasing int64 +// measurements during a computational operation. +func (m *meter) Int64Counter(name string, options ...metric.Int64CounterOption) (metric.Int64Counter, error) { + cfg := metric.NewInt64CounterConfig(options...) + const kind = InstrumentKindCounter + p := int64InstProvider{m} + i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return i, err + } + + return i, validateInstrumentName(name) +} + +// Int64UpDownCounter returns a new instrument identified by name and +// configured with options. The instrument is used to synchronously record +// int64 measurements during a computational operation. +func (m *meter) Int64UpDownCounter(name string, options ...metric.Int64UpDownCounterOption) (metric.Int64UpDownCounter, error) { + cfg := metric.NewInt64UpDownCounterConfig(options...) + const kind = InstrumentKindUpDownCounter + p := int64InstProvider{m} + i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return i, err + } + + return i, validateInstrumentName(name) +} + +// Int64Histogram returns a new instrument identified by name and configured +// with options. The instrument is used to synchronously record the +// distribution of int64 measurements during a computational operation. +func (m *meter) Int64Histogram(name string, options ...metric.Int64HistogramOption) (metric.Int64Histogram, error) { + cfg := metric.NewInt64HistogramConfig(options...) + p := int64InstProvider{m} + i, err := p.lookupHistogram(name, cfg) + if err != nil { + return i, err + } + + return i, validateInstrumentName(name) +} + +// Int64ObservableCounter returns a new instrument identified by name and +// configured with options. The instrument is used to asynchronously record +// increasing int64 measurements once per a measurement collection cycle. +// Only the measurements recorded during the collection cycle are exported. +func (m *meter) Int64ObservableCounter(name string, options ...metric.Int64ObservableCounterOption) (metric.Int64ObservableCounter, error) { + cfg := metric.NewInt64ObservableCounterConfig(options...) + const kind = InstrumentKindObservableCounter + p := int64ObservProvider{m} + inst, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return nil, err + } + p.registerCallbacks(inst, cfg.Callbacks()) + return inst, validateInstrumentName(name) +} + +// Int64ObservableUpDownCounter returns a new instrument identified by name and +// configured with options. The instrument is used to asynchronously record +// int64 measurements once per a measurement collection cycle. Only the +// measurements recorded during the collection cycle are exported. +func (m *meter) Int64ObservableUpDownCounter(name string, options ...metric.Int64ObservableUpDownCounterOption) (metric.Int64ObservableUpDownCounter, error) { + cfg := metric.NewInt64ObservableUpDownCounterConfig(options...) + const kind = InstrumentKindObservableUpDownCounter + p := int64ObservProvider{m} + inst, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return nil, err + } + p.registerCallbacks(inst, cfg.Callbacks()) + return inst, validateInstrumentName(name) +} + +// Int64ObservableGauge returns a new instrument identified by name and +// configured with options. The instrument is used to asynchronously record +// instantaneous int64 measurements once per a measurement collection cycle. +// Only the measurements recorded during the collection cycle are exported. +func (m *meter) Int64ObservableGauge(name string, options ...metric.Int64ObservableGaugeOption) (metric.Int64ObservableGauge, error) { + cfg := metric.NewInt64ObservableGaugeConfig(options...) + const kind = InstrumentKindObservableGauge + p := int64ObservProvider{m} + inst, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return nil, err + } + p.registerCallbacks(inst, cfg.Callbacks()) + return inst, validateInstrumentName(name) +} + +// Float64Counter returns a new instrument identified by name and configured +// with options. The instrument is used to synchronously record increasing +// float64 measurements during a computational operation. +func (m *meter) Float64Counter(name string, options ...metric.Float64CounterOption) (metric.Float64Counter, error) { + cfg := metric.NewFloat64CounterConfig(options...) + const kind = InstrumentKindCounter + p := float64InstProvider{m} + i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return i, err + } + + return i, validateInstrumentName(name) +} + +// Float64UpDownCounter returns a new instrument identified by name and +// configured with options. The instrument is used to synchronously record +// float64 measurements during a computational operation. +func (m *meter) Float64UpDownCounter(name string, options ...metric.Float64UpDownCounterOption) (metric.Float64UpDownCounter, error) { + cfg := metric.NewFloat64UpDownCounterConfig(options...) + const kind = InstrumentKindUpDownCounter + p := float64InstProvider{m} + i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return i, err + } + + return i, validateInstrumentName(name) +} + +// Float64Histogram returns a new instrument identified by name and configured +// with options. The instrument is used to synchronously record the +// distribution of float64 measurements during a computational operation. +func (m *meter) Float64Histogram(name string, options ...metric.Float64HistogramOption) (metric.Float64Histogram, error) { + cfg := metric.NewFloat64HistogramConfig(options...) + p := float64InstProvider{m} + i, err := p.lookupHistogram(name, cfg) + if err != nil { + return i, err + } + + return i, validateInstrumentName(name) +} + +// Float64ObservableCounter returns a new instrument identified by name and +// configured with options. The instrument is used to asynchronously record +// increasing float64 measurements once per a measurement collection cycle. +// Only the measurements recorded during the collection cycle are exported. +func (m *meter) Float64ObservableCounter(name string, options ...metric.Float64ObservableCounterOption) (metric.Float64ObservableCounter, error) { + cfg := metric.NewFloat64ObservableCounterConfig(options...) + const kind = InstrumentKindObservableCounter + p := float64ObservProvider{m} + inst, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return nil, err + } + p.registerCallbacks(inst, cfg.Callbacks()) + return inst, validateInstrumentName(name) +} + +// Float64ObservableUpDownCounter returns a new instrument identified by name +// and configured with options. The instrument is used to asynchronously record +// float64 measurements once per a measurement collection cycle. Only the +// measurements recorded during the collection cycle are exported. +func (m *meter) Float64ObservableUpDownCounter(name string, options ...metric.Float64ObservableUpDownCounterOption) (metric.Float64ObservableUpDownCounter, error) { + cfg := metric.NewFloat64ObservableUpDownCounterConfig(options...) + const kind = InstrumentKindObservableUpDownCounter + p := float64ObservProvider{m} + inst, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return nil, err + } + p.registerCallbacks(inst, cfg.Callbacks()) + return inst, validateInstrumentName(name) +} + +// Float64ObservableGauge returns a new instrument identified by name and +// configured with options. The instrument is used to asynchronously record +// instantaneous float64 measurements once per a measurement collection cycle. +// Only the measurements recorded during the collection cycle are exported. +func (m *meter) Float64ObservableGauge(name string, options ...metric.Float64ObservableGaugeOption) (metric.Float64ObservableGauge, error) { + cfg := metric.NewFloat64ObservableGaugeConfig(options...) + const kind = InstrumentKindObservableGauge + p := float64ObservProvider{m} + inst, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) + if err != nil { + return nil, err + } + p.registerCallbacks(inst, cfg.Callbacks()) + return inst, validateInstrumentName(name) +} + +func validateInstrumentName(name string) error { + if len(name) == 0 { + return fmt.Errorf("%w: %s: is empty", ErrInstrumentName, name) + } + if len(name) > 255 { + return fmt.Errorf("%w: %s: longer than 255 characters", ErrInstrumentName, name) + } + if !isAlpha([]rune(name)[0]) { + return fmt.Errorf("%w: %s: must start with a letter", ErrInstrumentName, name) + } + if len(name) == 1 { + return nil + } + for _, c := range name[1:] { + if !isAlphanumeric(c) && c != '_' && c != '.' && c != '-' && c != '/' { + return fmt.Errorf("%w: %s: must only contain [A-Za-z0-9_.-/]", ErrInstrumentName, name) + } + } + return nil +} + +func isAlpha(c rune) bool { + return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') +} + +func isAlphanumeric(c rune) bool { + return isAlpha(c) || ('0' <= c && c <= '9') +} + +// RegisterCallback registers f to be called each collection cycle so it will +// make observations for insts during those cycles. +// +// The only instruments f can make observations for are insts. All other +// observations will be dropped and an error will be logged. +// +// Only instruments from this meter can be registered with f, an error is +// returned if other instrument are provided. +// +// Only observations made in the callback will be exported. Unlike synchronous +// instruments, asynchronous callbacks can "forget" attribute sets that are no +// longer relevant by omitting the observation during the callback. +// +// The returned Registration can be used to unregister f. +func (m *meter) RegisterCallback(f metric.Callback, insts ...metric.Observable) (metric.Registration, error) { + if len(insts) == 0 { + // Don't allocate a observer if not needed. + return noopRegister{}, nil + } + + reg := newObserver() + var errs multierror + for _, inst := range insts { + // Unwrap any global. + if u, ok := inst.(interface { + Unwrap() metric.Observable + }); ok { + inst = u.Unwrap() + } + + switch o := inst.(type) { + case int64Observable: + if err := o.registerable(m); err != nil { + if !errors.Is(err, errEmptyAgg) { + errs.append(err) + } + continue + } + reg.registerInt64(o.observablID) + case float64Observable: + if err := o.registerable(m); err != nil { + if !errors.Is(err, errEmptyAgg) { + errs.append(err) + } + continue + } + reg.registerFloat64(o.observablID) + default: + // Instrument external to the SDK. + return nil, fmt.Errorf("invalid observable: from different implementation") + } + } + + err := errs.errorOrNil() + if reg.len() == 0 { + // All insts use drop aggregation or are invalid. + return noopRegister{}, err + } + + // Some or all instruments were valid. + cback := func(ctx context.Context) error { return f(ctx, reg) } + return m.pipes.registerMultiCallback(cback), err +} + +type observer struct { + embedded.Observer + + float64 map[observablID[float64]]struct{} + int64 map[observablID[int64]]struct{} +} + +func newObserver() observer { + return observer{ + float64: make(map[observablID[float64]]struct{}), + int64: make(map[observablID[int64]]struct{}), + } +} + +func (r observer) len() int { + return len(r.float64) + len(r.int64) +} + +func (r observer) registerFloat64(id observablID[float64]) { + r.float64[id] = struct{}{} +} + +func (r observer) registerInt64(id observablID[int64]) { + r.int64[id] = struct{}{} +} + +var ( + errUnknownObserver = errors.New("unknown observable instrument") + errUnregObserver = errors.New("observable instrument not registered for callback") +) + +func (r observer) ObserveFloat64(o metric.Float64Observable, v float64, opts ...metric.ObserveOption) { + var oImpl float64Observable + switch conv := o.(type) { + case float64Observable: + oImpl = conv + case interface { + Unwrap() metric.Observable + }: + // Unwrap any global. + async := conv.Unwrap() + var ok bool + if oImpl, ok = async.(float64Observable); !ok { + global.Error(errUnknownObserver, "failed to record asynchronous") + return + } + default: + global.Error(errUnknownObserver, "failed to record") + return + } + + if _, registered := r.float64[oImpl.observablID]; !registered { + global.Error(errUnregObserver, "failed to record", + "name", oImpl.name, + "description", oImpl.description, + "unit", oImpl.unit, + "number", fmt.Sprintf("%T", float64(0)), + ) + return + } + c := metric.NewObserveConfig(opts) + oImpl.observe(v, c.Attributes()) +} + +func (r observer) ObserveInt64(o metric.Int64Observable, v int64, opts ...metric.ObserveOption) { + var oImpl int64Observable + switch conv := o.(type) { + case int64Observable: + oImpl = conv + case interface { + Unwrap() metric.Observable + }: + // Unwrap any global. + async := conv.Unwrap() + var ok bool + if oImpl, ok = async.(int64Observable); !ok { + global.Error(errUnknownObserver, "failed to record asynchronous") + return + } + default: + global.Error(errUnknownObserver, "failed to record") + return + } + + if _, registered := r.int64[oImpl.observablID]; !registered { + global.Error(errUnregObserver, "failed to record", + "name", oImpl.name, + "description", oImpl.description, + "unit", oImpl.unit, + "number", fmt.Sprintf("%T", int64(0)), + ) + return + } + c := metric.NewObserveConfig(opts) + oImpl.observe(v, c.Attributes()) +} + +type noopRegister struct{ embedded.Registration } + +func (noopRegister) Unregister() error { + return nil +} + +// int64InstProvider provides int64 OpenTelemetry instruments. +type int64InstProvider struct{ *meter } + +func (p int64InstProvider) aggs(kind InstrumentKind, name, desc, u string) ([]aggregate.Measure[int64], error) { + inst := Instrument{ + Name: name, + Description: desc, + Unit: u, + Kind: kind, + Scope: p.scope, + } + return p.int64Resolver.Aggregators(inst) +} + +func (p int64InstProvider) histogramAggs(name string, cfg metric.Int64HistogramConfig) ([]aggregate.Measure[int64], error) { + boundaries := cfg.ExplicitBucketBoundaries() + aggError := AggregationExplicitBucketHistogram{Boundaries: boundaries}.err() + if aggError != nil { + // If boundaries are invalid, ignore them. + boundaries = nil + } + inst := Instrument{ + Name: name, + Description: cfg.Description(), + Unit: cfg.Unit(), + Kind: InstrumentKindHistogram, + Scope: p.scope, + } + measures, err := p.int64Resolver.HistogramAggregators(inst, boundaries) + return measures, errors.Join(aggError, err) +} + +// lookup returns the resolved instrumentImpl. +func (p int64InstProvider) lookup(kind InstrumentKind, name, desc, u string) (*int64Inst, error) { + aggs, err := p.aggs(kind, name, desc, u) + return &int64Inst{measures: aggs}, err +} + +// lookupHistogram returns the resolved instrumentImpl. +func (p int64InstProvider) lookupHistogram(name string, cfg metric.Int64HistogramConfig) (*int64Inst, error) { + aggs, err := p.histogramAggs(name, cfg) + return &int64Inst{measures: aggs}, err +} + +// float64InstProvider provides float64 OpenTelemetry instruments. +type float64InstProvider struct{ *meter } + +func (p float64InstProvider) aggs(kind InstrumentKind, name, desc, u string) ([]aggregate.Measure[float64], error) { + inst := Instrument{ + Name: name, + Description: desc, + Unit: u, + Kind: kind, + Scope: p.scope, + } + return p.float64Resolver.Aggregators(inst) +} + +func (p float64InstProvider) histogramAggs(name string, cfg metric.Float64HistogramConfig) ([]aggregate.Measure[float64], error) { + boundaries := cfg.ExplicitBucketBoundaries() + aggError := AggregationExplicitBucketHistogram{Boundaries: boundaries}.err() + if aggError != nil { + // If boundaries are invalid, ignore them. + boundaries = nil + } + inst := Instrument{ + Name: name, + Description: cfg.Description(), + Unit: cfg.Unit(), + Kind: InstrumentKindHistogram, + Scope: p.scope, + } + measures, err := p.float64Resolver.HistogramAggregators(inst, boundaries) + return measures, errors.Join(aggError, err) +} + +// lookup returns the resolved instrumentImpl. +func (p float64InstProvider) lookup(kind InstrumentKind, name, desc, u string) (*float64Inst, error) { + aggs, err := p.aggs(kind, name, desc, u) + return &float64Inst{measures: aggs}, err +} + +// lookupHistogram returns the resolved instrumentImpl. +func (p float64InstProvider) lookupHistogram(name string, cfg metric.Float64HistogramConfig) (*float64Inst, error) { + aggs, err := p.histogramAggs(name, cfg) + return &float64Inst{measures: aggs}, err +} + +type int64ObservProvider struct{ *meter } + +func (p int64ObservProvider) lookup(kind InstrumentKind, name, desc, u string) (int64Observable, error) { + aggs, err := (int64InstProvider)(p).aggs(kind, name, desc, u) + return newInt64Observable(p.meter, kind, name, desc, u, aggs), err +} + +func (p int64ObservProvider) registerCallbacks(inst int64Observable, cBacks []metric.Int64Callback) { + if inst.observable == nil || len(inst.measures) == 0 { + // Drop aggregator. + return + } + + for _, cBack := range cBacks { + p.pipes.registerCallback(p.callback(inst, cBack)) + } +} + +func (p int64ObservProvider) callback(i int64Observable, f metric.Int64Callback) func(context.Context) error { + inst := int64Observer{int64Observable: i} + return func(ctx context.Context) error { return f(ctx, inst) } +} + +type int64Observer struct { + embedded.Int64Observer + int64Observable +} + +func (o int64Observer) Observe(val int64, opts ...metric.ObserveOption) { + c := metric.NewObserveConfig(opts) + o.observe(val, c.Attributes()) +} + +type float64ObservProvider struct{ *meter } + +func (p float64ObservProvider) lookup(kind InstrumentKind, name, desc, u string) (float64Observable, error) { + aggs, err := (float64InstProvider)(p).aggs(kind, name, desc, u) + return newFloat64Observable(p.meter, kind, name, desc, u, aggs), err +} + +func (p float64ObservProvider) registerCallbacks(inst float64Observable, cBacks []metric.Float64Callback) { + if inst.observable == nil || len(inst.measures) == 0 { + // Drop aggregator. + return + } + + for _, cBack := range cBacks { + p.pipes.registerCallback(p.callback(inst, cBack)) + } +} + +func (p float64ObservProvider) callback(i float64Observable, f metric.Float64Callback) func(context.Context) error { + inst := float64Observer{float64Observable: i} + return func(ctx context.Context) error { return f(ctx, inst) } +} + +type float64Observer struct { + embedded.Float64Observer + float64Observable +} + +func (o float64Observer) Observe(val float64, opts ...metric.ObserveOption) { + c := metric.NewObserveConfig(opts) + o.observe(val, c.Attributes()) +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/data.go b/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/data.go new file mode 100644 index 000000000..995d42b38 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/data.go @@ -0,0 +1,293 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metricdata // import "go.opentelemetry.io/otel/sdk/metric/metricdata" + +import ( + "time" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/instrumentation" + "go.opentelemetry.io/otel/sdk/resource" +) + +// ResourceMetrics is a collection of ScopeMetrics and the associated Resource +// that created them. +type ResourceMetrics struct { + // Resource represents the entity that collected the metrics. + Resource *resource.Resource + // ScopeMetrics are the collection of metrics with unique Scopes. + ScopeMetrics []ScopeMetrics +} + +// ScopeMetrics is a collection of Metrics Produces by a Meter. +type ScopeMetrics struct { + // Scope is the Scope that the Meter was created with. + Scope instrumentation.Scope + // Metrics are a list of aggregations created by the Meter. + Metrics []Metrics +} + +// Metrics is a collection of one or more aggregated timeseries from an Instrument. +type Metrics struct { + // Name is the name of the Instrument that created this data. + Name string + // Description is the description of the Instrument, which can be used in documentation. + Description string + // Unit is the unit in which the Instrument reports. + Unit string + // Data is the aggregated data from an Instrument. + Data Aggregation +} + +// Aggregation is the store of data reported by an Instrument. +// It will be one of: Gauge, Sum, Histogram. +type Aggregation interface { + privateAggregation() +} + +// Gauge represents a measurement of the current value of an instrument. +type Gauge[N int64 | float64] struct { + // DataPoints are the individual aggregated measurements with unique + // Attributes. + DataPoints []DataPoint[N] +} + +func (Gauge[N]) privateAggregation() {} + +// Sum represents the sum of all measurements of values from an instrument. +type Sum[N int64 | float64] struct { + // DataPoints are the individual aggregated measurements with unique + // Attributes. + DataPoints []DataPoint[N] + // Temporality describes if the aggregation is reported as the change from the + // last report time, or the cumulative changes since a fixed start time. + Temporality Temporality + // IsMonotonic represents if this aggregation only increases or decreases. + IsMonotonic bool +} + +func (Sum[N]) privateAggregation() {} + +// DataPoint is a single data point in a timeseries. +type DataPoint[N int64 | float64] struct { + // Attributes is the set of key value pairs that uniquely identify the + // timeseries. + Attributes attribute.Set + // StartTime is when the timeseries was started. (optional) + StartTime time.Time `json:",omitempty"` + // Time is the time when the timeseries was recorded. (optional) + Time time.Time `json:",omitempty"` + // Value is the value of this data point. + Value N + + // Exemplars is the sampled Exemplars collected during the timeseries. + Exemplars []Exemplar[N] `json:",omitempty"` +} + +// Histogram represents the histogram of all measurements of values from an instrument. +type Histogram[N int64 | float64] struct { + // DataPoints are the individual aggregated measurements with unique + // Attributes. + DataPoints []HistogramDataPoint[N] + // Temporality describes if the aggregation is reported as the change from the + // last report time, or the cumulative changes since a fixed start time. + Temporality Temporality +} + +func (Histogram[N]) privateAggregation() {} + +// HistogramDataPoint is a single histogram data point in a timeseries. +type HistogramDataPoint[N int64 | float64] struct { + // Attributes is the set of key value pairs that uniquely identify the + // timeseries. + Attributes attribute.Set + // StartTime is when the timeseries was started. + StartTime time.Time + // Time is the time when the timeseries was recorded. + Time time.Time + + // Count is the number of updates this histogram has been calculated with. + Count uint64 + // Bounds are the upper bounds of the buckets of the histogram. Because the + // last boundary is +infinity this one is implied. + Bounds []float64 + // BucketCounts is the count of each of the buckets. + BucketCounts []uint64 + + // Min is the minimum value recorded. (optional) + Min Extrema[N] + // Max is the maximum value recorded. (optional) + Max Extrema[N] + // Sum is the sum of the values recorded. + Sum N + + // Exemplars is the sampled Exemplars collected during the timeseries. + Exemplars []Exemplar[N] `json:",omitempty"` +} + +// ExponentialHistogram represents the histogram of all measurements of values from an instrument. +type ExponentialHistogram[N int64 | float64] struct { + // DataPoints are the individual aggregated measurements with unique + // attributes. + DataPoints []ExponentialHistogramDataPoint[N] + // Temporality describes if the aggregation is reported as the change from the + // last report time, or the cumulative changes since a fixed start time. + Temporality Temporality +} + +func (ExponentialHistogram[N]) privateAggregation() {} + +// ExponentialHistogramDataPoint is a single exponential histogram data point in a timeseries. +type ExponentialHistogramDataPoint[N int64 | float64] struct { + // Attributes is the set of key value pairs that uniquely identify the + // timeseries. + Attributes attribute.Set + // StartTime is when the timeseries was started. + StartTime time.Time + // Time is the time when the timeseries was recorded. + Time time.Time + + // Count is the number of updates this histogram has been calculated with. + Count uint64 + // Min is the minimum value recorded. (optional) + Min Extrema[N] + // Max is the maximum value recorded. (optional) + Max Extrema[N] + // Sum is the sum of the values recorded. + Sum N + + // Scale describes the resolution of the histogram. Boundaries are + // located at powers of the base, where: + // + // base = 2 ^ (2 ^ -Scale) + Scale int32 + // ZeroCount is the number of values whose absolute value + // is less than or equal to [ZeroThreshold]. + // When ZeroThreshold is 0, this is the number of values that + // cannot be expressed using the standard exponential formula + // as well as values that have been rounded to zero. + // ZeroCount represents the special zero count bucket. + ZeroCount uint64 + + // PositiveBucket is range of positive value bucket counts. + PositiveBucket ExponentialBucket + // NegativeBucket is range of negative value bucket counts. + NegativeBucket ExponentialBucket + + // ZeroThreshold is the width of the zero region. Where the zero region is + // defined as the closed interval [-ZeroThreshold, ZeroThreshold]. + ZeroThreshold float64 + + // Exemplars is the sampled Exemplars collected during the timeseries. + Exemplars []Exemplar[N] `json:",omitempty"` +} + +// ExponentialBucket are a set of bucket counts, encoded in a contiguous array +// of counts. +type ExponentialBucket struct { + // Offset is the bucket index of the first entry in the Counts slice. + Offset int32 + // Counts is an slice where Counts[i] carries the count of the bucket at + // index (Offset+i). Counts[i] is the count of values greater than + // base^(Offset+i) and less than or equal to base^(Offset+i+1). + Counts []uint64 +} + +// Extrema is the minimum or maximum value of a dataset. +type Extrema[N int64 | float64] struct { + value N + valid bool +} + +// NewExtrema returns an Extrema set to v. +func NewExtrema[N int64 | float64](v N) Extrema[N] { + return Extrema[N]{value: v, valid: true} +} + +// Value returns the Extrema value and true if the Extrema is defined. +// Otherwise, if the Extrema is its zero-value, defined will be false. +func (e Extrema[N]) Value() (v N, defined bool) { + return e.value, e.valid +} + +// Exemplar is a measurement sampled from a timeseries providing a typical +// example. +type Exemplar[N int64 | float64] struct { + // FilteredAttributes are the attributes recorded with the measurement but + // filtered out of the timeseries' aggregated data. + FilteredAttributes []attribute.KeyValue + // Time is the time when the measurement was recorded. + Time time.Time + // Value is the measured value. + Value N + // SpanID is the ID of the span that was active during the measurement. If + // no span was active or the span was not sampled this will be empty. + SpanID []byte `json:",omitempty"` + // TraceID is the ID of the trace the active span belonged to during the + // measurement. If no span was active or the span was not sampled this will + // be empty. + TraceID []byte `json:",omitempty"` +} + +// Summary metric data are used to convey quantile summaries, +// a Prometheus (see: https://prometheus.io/docs/concepts/metric_types/#summary) +// data type. +// +// These data points cannot always be merged in a meaningful way. The Summary +// type is only used by bridges from other metrics libraries, and cannot be +// produced using OpenTelemetry instrumentation. +type Summary struct { + // DataPoints are the individual aggregated measurements with unique + // attributes. + DataPoints []SummaryDataPoint +} + +func (Summary) privateAggregation() {} + +// SummaryDataPoint is a single data point in a timeseries that describes the +// time-varying values of a Summary metric. +type SummaryDataPoint struct { + // Attributes is the set of key value pairs that uniquely identify the + // timeseries. + Attributes attribute.Set + + // StartTime is when the timeseries was started. + StartTime time.Time + // Time is the time when the timeseries was recorded. + Time time.Time + + // Count is the number of updates this summary has been calculated with. + Count uint64 + + // Sum is the sum of the values recorded. + Sum float64 + + // (Optional) list of values at different quantiles of the distribution calculated + // from the current snapshot. The quantiles must be strictly increasing. + QuantileValues []QuantileValue +} + +// QuantileValue is the value at a given quantile of a summary. +type QuantileValue struct { + // Quantile is the quantile of this value. + // + // Must be in the interval [0.0, 1.0]. + Quantile float64 + + // Value is the value at the given quantile of a summary. + // + // Quantile values must NOT be negative. + Value float64 +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/temporality.go b/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/temporality.go new file mode 100644 index 000000000..9fceb18cb --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/temporality.go @@ -0,0 +1,41 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +//go:generate stringer -type=Temporality + +package metricdata // import "go.opentelemetry.io/otel/sdk/metric/metricdata" + +// Temporality defines the window that an aggregation was calculated over. +type Temporality uint8 + +const ( + // undefinedTemporality represents an unset Temporality. + //nolint:deadcode,unused,varcheck + undefinedTemporality Temporality = iota + + // CumulativeTemporality defines a measurement interval that continues to + // expand forward in time from a starting point. New measurements are + // added to all previous measurements since a start time. + CumulativeTemporality + + // DeltaTemporality defines a measurement interval that resets each cycle. + // Measurements from one cycle are recorded independently, measurements + // from other cycles do not affect them. + DeltaTemporality +) + +// MarshalText returns the byte encoded of t. +func (t Temporality) MarshalText() ([]byte, error) { + return []byte(t.String()), nil +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/temporality_string.go b/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/temporality_string.go new file mode 100644 index 000000000..4da833cdc --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/temporality_string.go @@ -0,0 +1,25 @@ +// Code generated by "stringer -type=Temporality"; DO NOT EDIT. + +package metricdata + +import "strconv" + +func _() { + // An "invalid array index" compiler error signifies that the constant values have changed. + // Re-run the stringer command to generate them again. + var x [1]struct{} + _ = x[undefinedTemporality-0] + _ = x[CumulativeTemporality-1] + _ = x[DeltaTemporality-2] +} + +const _Temporality_name = "undefinedTemporalityCumulativeTemporalityDeltaTemporality" + +var _Temporality_index = [...]uint8{0, 20, 41, 57} + +func (i Temporality) String() string { + if i >= Temporality(len(_Temporality_index)-1) { + return "Temporality(" + strconv.FormatInt(int64(i), 10) + ")" + } + return _Temporality_name[_Temporality_index[i]:_Temporality_index[i+1]] +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/periodic_reader.go b/vendor/go.opentelemetry.io/otel/sdk/metric/periodic_reader.go new file mode 100644 index 000000000..ff86999c7 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/periodic_reader.go @@ -0,0 +1,381 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "errors" + "fmt" + "sync" + "sync/atomic" + "time" + + "go.opentelemetry.io/otel" + "go.opentelemetry.io/otel/internal/global" + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +// Default periodic reader timing. +const ( + defaultTimeout = time.Millisecond * 30000 + defaultInterval = time.Millisecond * 60000 +) + +// periodicReaderConfig contains configuration options for a PeriodicReader. +type periodicReaderConfig struct { + interval time.Duration + timeout time.Duration + producers []Producer +} + +// newPeriodicReaderConfig returns a periodicReaderConfig configured with +// options. +func newPeriodicReaderConfig(options []PeriodicReaderOption) periodicReaderConfig { + c := periodicReaderConfig{ + interval: envDuration(envInterval, defaultInterval), + timeout: envDuration(envTimeout, defaultTimeout), + } + for _, o := range options { + c = o.applyPeriodic(c) + } + return c +} + +// PeriodicReaderOption applies a configuration option value to a PeriodicReader. +type PeriodicReaderOption interface { + applyPeriodic(periodicReaderConfig) periodicReaderConfig +} + +// periodicReaderOptionFunc applies a set of options to a periodicReaderConfig. +type periodicReaderOptionFunc func(periodicReaderConfig) periodicReaderConfig + +// applyPeriodic returns a periodicReaderConfig with option(s) applied. +func (o periodicReaderOptionFunc) applyPeriodic(conf periodicReaderConfig) periodicReaderConfig { + return o(conf) +} + +// WithTimeout configures the time a PeriodicReader waits for an export to +// complete before canceling it. This includes an export which occurs as part +// of Shutdown or ForceFlush if the user passed context does not have a +// deadline. If the user passed context does have a deadline, it will be used +// instead. +// +// This option overrides any value set for the +// OTEL_METRIC_EXPORT_TIMEOUT environment variable. +// +// If this option is not used or d is less than or equal to zero, 30 seconds +// is used as the default. +func WithTimeout(d time.Duration) PeriodicReaderOption { + return periodicReaderOptionFunc(func(conf periodicReaderConfig) periodicReaderConfig { + if d <= 0 { + return conf + } + conf.timeout = d + return conf + }) +} + +// WithInterval configures the intervening time between exports for a +// PeriodicReader. +// +// This option overrides any value set for the +// OTEL_METRIC_EXPORT_INTERVAL environment variable. +// +// If this option is not used or d is less than or equal to zero, 60 seconds +// is used as the default. +func WithInterval(d time.Duration) PeriodicReaderOption { + return periodicReaderOptionFunc(func(conf periodicReaderConfig) periodicReaderConfig { + if d <= 0 { + return conf + } + conf.interval = d + return conf + }) +} + +// NewPeriodicReader returns a Reader that collects and exports metric data to +// the exporter at a defined interval. By default, the returned Reader will +// collect and export data every 60 seconds, and will cancel any attempts that +// exceed 30 seconds, collect and export combined. The collect and export time +// are not counted towards the interval between attempts. +// +// The Collect method of the returned Reader continues to gather and return +// metric data to the user. It will not automatically send that data to the +// exporter. That is left to the user to accomplish. +func NewPeriodicReader(exporter Exporter, options ...PeriodicReaderOption) *PeriodicReader { + conf := newPeriodicReaderConfig(options) + ctx, cancel := context.WithCancel(context.Background()) + r := &PeriodicReader{ + interval: conf.interval, + timeout: conf.timeout, + exporter: exporter, + flushCh: make(chan chan error), + cancel: cancel, + done: make(chan struct{}), + rmPool: sync.Pool{ + New: func() interface{} { + return &metricdata.ResourceMetrics{} + }, + }, + } + r.externalProducers.Store(conf.producers) + + go func() { + defer func() { close(r.done) }() + r.run(ctx, conf.interval) + }() + + return r +} + +// PeriodicReader is a Reader that continuously collects and exports metric +// data at a set interval. +type PeriodicReader struct { + sdkProducer atomic.Value + + mu sync.Mutex + isShutdown bool + externalProducers atomic.Value + + interval time.Duration + timeout time.Duration + exporter Exporter + flushCh chan chan error + + done chan struct{} + cancel context.CancelFunc + shutdownOnce sync.Once + + rmPool sync.Pool +} + +// Compile time check the periodicReader implements Reader and is comparable. +var _ = map[Reader]struct{}{&PeriodicReader{}: {}} + +// newTicker allows testing override. +var newTicker = time.NewTicker + +// run continuously collects and exports metric data at the specified +// interval. This will run until ctx is canceled or times out. +func (r *PeriodicReader) run(ctx context.Context, interval time.Duration) { + ticker := newTicker(interval) + defer ticker.Stop() + + for { + select { + case <-ticker.C: + err := r.collectAndExport(ctx) + if err != nil { + otel.Handle(err) + } + case errCh := <-r.flushCh: + errCh <- r.collectAndExport(ctx) + ticker.Reset(interval) + case <-ctx.Done(): + return + } + } +} + +// register registers p as the producer of this reader. +func (r *PeriodicReader) register(p sdkProducer) { + // Only register once. If producer is already set, do nothing. + if !r.sdkProducer.CompareAndSwap(nil, produceHolder{produce: p.produce}) { + msg := "did not register periodic reader" + global.Error(errDuplicateRegister, msg) + } +} + +// temporality reports the Temporality for the instrument kind provided. +func (r *PeriodicReader) temporality(kind InstrumentKind) metricdata.Temporality { + return r.exporter.Temporality(kind) +} + +// aggregation returns what Aggregation to use for kind. +func (r *PeriodicReader) aggregation(kind InstrumentKind) Aggregation { // nolint:revive // import-shadow for method scoped by type. + return r.exporter.Aggregation(kind) +} + +// collectAndExport gather all metric data related to the periodicReader r from +// the SDK and exports it with r's exporter. +func (r *PeriodicReader) collectAndExport(ctx context.Context) error { + ctx, cancel := context.WithTimeout(ctx, r.timeout) + defer cancel() + + // TODO (#3047): Use a sync.Pool or persistent pointer instead of allocating rm every Collect. + rm := r.rmPool.Get().(*metricdata.ResourceMetrics) + err := r.Collect(ctx, rm) + if err == nil { + err = r.export(ctx, rm) + } + r.rmPool.Put(rm) + return err +} + +// Collect gathers all metric data related to the Reader from +// the SDK and other Producers and stores the result in rm. The metric +// data is not exported to the configured exporter, it is left to the caller to +// handle that if desired. +// +// Collect will return an error if called after shutdown. +// Collect will return an error if rm is a nil ResourceMetrics. +// Collect will return an error if the context's Done channel is closed. +// +// This method is safe to call concurrently. +func (r *PeriodicReader) Collect(ctx context.Context, rm *metricdata.ResourceMetrics) error { + if rm == nil { + return errors.New("periodic reader: *metricdata.ResourceMetrics is nil") + } + // TODO (#3047): When collect is updated to accept output as param, pass rm. + return r.collect(ctx, r.sdkProducer.Load(), rm) +} + +// collect unwraps p as a produceHolder and returns its produce results. +func (r *PeriodicReader) collect(ctx context.Context, p interface{}, rm *metricdata.ResourceMetrics) error { + if p == nil { + return ErrReaderNotRegistered + } + + ph, ok := p.(produceHolder) + if !ok { + // The atomic.Value is entirely in the periodicReader's control so + // this should never happen. In the unforeseen case that this does + // happen, return an error instead of panicking so a users code does + // not halt in the processes. + err := fmt.Errorf("periodic reader: invalid producer: %T", p) + return err + } + + err := ph.produce(ctx, rm) + if err != nil { + return err + } + var errs []error + for _, producer := range r.externalProducers.Load().([]Producer) { + externalMetrics, err := producer.Produce(ctx) + if err != nil { + errs = append(errs, err) + } + rm.ScopeMetrics = append(rm.ScopeMetrics, externalMetrics...) + } + + global.Debug("PeriodicReader collection", "Data", rm) + + return unifyErrors(errs) +} + +// export exports metric data m using r's exporter. +func (r *PeriodicReader) export(ctx context.Context, m *metricdata.ResourceMetrics) error { + return r.exporter.Export(ctx, m) +} + +// ForceFlush flushes pending telemetry. +// +// This method is safe to call concurrently. +func (r *PeriodicReader) ForceFlush(ctx context.Context) error { + // Prioritize the ctx timeout if it is set. + if _, ok := ctx.Deadline(); !ok { + var cancel context.CancelFunc + ctx, cancel = context.WithTimeout(ctx, r.timeout) + defer cancel() + } + + errCh := make(chan error, 1) + select { + case r.flushCh <- errCh: + select { + case err := <-errCh: + if err != nil { + return err + } + close(errCh) + case <-ctx.Done(): + return ctx.Err() + } + case <-r.done: + return ErrReaderShutdown + case <-ctx.Done(): + return ctx.Err() + } + return r.exporter.ForceFlush(ctx) +} + +// Shutdown flushes pending telemetry and then stops the export pipeline. +// +// This method is safe to call concurrently. +func (r *PeriodicReader) Shutdown(ctx context.Context) error { + err := ErrReaderShutdown + r.shutdownOnce.Do(func() { + // Prioritize the ctx timeout if it is set. + if _, ok := ctx.Deadline(); !ok { + var cancel context.CancelFunc + ctx, cancel = context.WithTimeout(ctx, r.timeout) + defer cancel() + } + + // Stop the run loop. + r.cancel() + <-r.done + + // Any future call to Collect will now return ErrReaderShutdown. + ph := r.sdkProducer.Swap(produceHolder{ + produce: shutdownProducer{}.produce, + }) + + if ph != nil { // Reader was registered. + // Flush pending telemetry. + m := r.rmPool.Get().(*metricdata.ResourceMetrics) + err = r.collect(ctx, ph, m) + if err == nil { + err = r.export(ctx, m) + } + r.rmPool.Put(m) + } + + sErr := r.exporter.Shutdown(ctx) + if err == nil || err == ErrReaderShutdown { + err = sErr + } + + r.mu.Lock() + defer r.mu.Unlock() + r.isShutdown = true + // release references to Producer(s) + r.externalProducers.Store([]Producer{}) + }) + return err +} + +// MarshalLog returns logging data about the PeriodicReader. +func (r *PeriodicReader) MarshalLog() interface{} { + r.mu.Lock() + down := r.isShutdown + r.mu.Unlock() + return struct { + Type string + Exporter Exporter + Registered bool + Shutdown bool + Interval time.Duration + Timeout time.Duration + }{ + Type: "PeriodicReader", + Exporter: r.exporter, + Registered: r.sdkProducer.Load() != nil, + Shutdown: down, + Interval: r.interval, + Timeout: r.timeout, + } +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/pipeline.go b/vendor/go.opentelemetry.io/otel/sdk/metric/pipeline.go new file mode 100644 index 000000000..48abcc8a7 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/pipeline.go @@ -0,0 +1,656 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "container/list" + "context" + "errors" + "fmt" + "strings" + "sync" + "sync/atomic" + + "go.opentelemetry.io/otel/internal/global" + "go.opentelemetry.io/otel/metric" + "go.opentelemetry.io/otel/metric/embedded" + "go.opentelemetry.io/otel/sdk/instrumentation" + "go.opentelemetry.io/otel/sdk/metric/internal" + "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" + "go.opentelemetry.io/otel/sdk/metric/metricdata" + "go.opentelemetry.io/otel/sdk/resource" +) + +var ( + errCreatingAggregators = errors.New("could not create all aggregators") + errIncompatibleAggregation = errors.New("incompatible aggregation") + errUnknownAggregation = errors.New("unrecognized aggregation") +) + +// instrumentSync is a synchronization point between a pipeline and an +// instrument's aggregate function. +type instrumentSync struct { + name string + description string + unit string + compAgg aggregate.ComputeAggregation +} + +func newPipeline(res *resource.Resource, reader Reader, views []View) *pipeline { + if res == nil { + res = resource.Empty() + } + return &pipeline{ + resource: res, + reader: reader, + views: views, + // aggregations is lazy allocated when needed. + } +} + +// pipeline connects all of the instruments created by a meter provider to a Reader. +// This is the object that will be `Reader.register()` when a meter provider is created. +// +// As instruments are created the instrument should be checked if it exists in +// the views of a the Reader, and if so each aggregate function should be added +// to the pipeline. +type pipeline struct { + resource *resource.Resource + + reader Reader + views []View + + sync.Mutex + aggregations map[instrumentation.Scope][]instrumentSync + callbacks []func(context.Context) error + multiCallbacks list.List +} + +// addSync adds the instrumentSync to pipeline p with scope. This method is not +// idempotent. Duplicate calls will result in duplicate additions, it is the +// callers responsibility to ensure this is called with unique values. +func (p *pipeline) addSync(scope instrumentation.Scope, iSync instrumentSync) { + p.Lock() + defer p.Unlock() + if p.aggregations == nil { + p.aggregations = map[instrumentation.Scope][]instrumentSync{ + scope: {iSync}, + } + return + } + p.aggregations[scope] = append(p.aggregations[scope], iSync) +} + +// addCallback registers a single instrument callback to be run when +// `produce()` is called. +func (p *pipeline) addCallback(cback func(context.Context) error) { + p.Lock() + defer p.Unlock() + p.callbacks = append(p.callbacks, cback) +} + +type multiCallback func(context.Context) error + +// addMultiCallback registers a multi-instrument callback to be run when +// `produce()` is called. +func (p *pipeline) addMultiCallback(c multiCallback) (unregister func()) { + p.Lock() + defer p.Unlock() + e := p.multiCallbacks.PushBack(c) + return func() { + p.Lock() + p.multiCallbacks.Remove(e) + p.Unlock() + } +} + +// produce returns aggregated metrics from a single collection. +// +// This method is safe to call concurrently. +func (p *pipeline) produce(ctx context.Context, rm *metricdata.ResourceMetrics) error { + p.Lock() + defer p.Unlock() + + var errs multierror + for _, c := range p.callbacks { + // TODO make the callbacks parallel. ( #3034 ) + if err := c(ctx); err != nil { + errs.append(err) + } + if err := ctx.Err(); err != nil { + rm.Resource = nil + rm.ScopeMetrics = rm.ScopeMetrics[:0] + return err + } + } + for e := p.multiCallbacks.Front(); e != nil; e = e.Next() { + // TODO make the callbacks parallel. ( #3034 ) + f := e.Value.(multiCallback) + if err := f(ctx); err != nil { + errs.append(err) + } + if err := ctx.Err(); err != nil { + // This means the context expired before we finished running callbacks. + rm.Resource = nil + rm.ScopeMetrics = rm.ScopeMetrics[:0] + return err + } + } + + rm.Resource = p.resource + rm.ScopeMetrics = internal.ReuseSlice(rm.ScopeMetrics, len(p.aggregations)) + + i := 0 + for scope, instruments := range p.aggregations { + rm.ScopeMetrics[i].Metrics = internal.ReuseSlice(rm.ScopeMetrics[i].Metrics, len(instruments)) + j := 0 + for _, inst := range instruments { + data := rm.ScopeMetrics[i].Metrics[j].Data + if n := inst.compAgg(&data); n > 0 { + rm.ScopeMetrics[i].Metrics[j].Name = inst.name + rm.ScopeMetrics[i].Metrics[j].Description = inst.description + rm.ScopeMetrics[i].Metrics[j].Unit = inst.unit + rm.ScopeMetrics[i].Metrics[j].Data = data + j++ + } + } + rm.ScopeMetrics[i].Metrics = rm.ScopeMetrics[i].Metrics[:j] + if len(rm.ScopeMetrics[i].Metrics) > 0 { + rm.ScopeMetrics[i].Scope = scope + i++ + } + } + + rm.ScopeMetrics = rm.ScopeMetrics[:i] + + return errs.errorOrNil() +} + +// inserter facilitates inserting of new instruments from a single scope into a +// pipeline. +type inserter[N int64 | float64] struct { + // aggregators is a cache that holds aggregate function inputs whose + // outputs have been inserted into the underlying reader pipeline. This + // cache ensures no duplicate aggregate functions are inserted into the + // reader pipeline and if a new request during an instrument creation asks + // for the same aggregate function input the same instance is returned. + aggregators *cache[instID, aggVal[N]] + + // views is a cache that holds instrument identifiers for all the + // instruments a Meter has created, it is provided from the Meter that owns + // this inserter. This cache ensures during the creation of instruments + // with the same name but different options (e.g. description, unit) a + // warning message is logged. + views *cache[string, instID] + + pipeline *pipeline +} + +func newInserter[N int64 | float64](p *pipeline, vc *cache[string, instID]) *inserter[N] { + if vc == nil { + vc = &cache[string, instID]{} + } + return &inserter[N]{ + aggregators: &cache[instID, aggVal[N]]{}, + views: vc, + pipeline: p, + } +} + +// Instrument inserts the instrument inst with instUnit into a pipeline. All +// views the pipeline contains are matched against, and any matching view that +// creates a unique aggregate function will have its output inserted into the +// pipeline and its input included in the returned slice. +// +// The returned aggregate function inputs are ensured to be deduplicated and +// unique. If another view in another pipeline that is cached by this +// inserter's cache has already inserted the same aggregate function for the +// same instrument, that functions input instance is returned. +// +// If another instrument has already been inserted by this inserter, or any +// other using the same cache, and it conflicts with the instrument being +// inserted in this call, an aggregate function input matching the arguments +// will still be returned but an Info level log message will also be logged to +// the OTel global logger. +// +// If the passed instrument would result in an incompatible aggregate function, +// an error is returned and that aggregate function output is not inserted nor +// is its input returned. +// +// If an instrument is determined to use a Drop aggregation, that instrument is +// not inserted nor returned. +func (i *inserter[N]) Instrument(inst Instrument, readerAggregation Aggregation) ([]aggregate.Measure[N], error) { + var ( + matched bool + measures []aggregate.Measure[N] + ) + + errs := &multierror{wrapped: errCreatingAggregators} + seen := make(map[uint64]struct{}) + for _, v := range i.pipeline.views { + stream, match := v(inst) + if !match { + continue + } + matched = true + in, id, err := i.cachedAggregator(inst.Scope, inst.Kind, stream, readerAggregation) + if err != nil { + errs.append(err) + } + if in == nil { // Drop aggregation. + continue + } + if _, ok := seen[id]; ok { + // This aggregate function has already been added. + continue + } + seen[id] = struct{}{} + measures = append(measures, in) + } + + if matched { + return measures, errs.errorOrNil() + } + + // Apply implicit default view if no explicit matched. + stream := Stream{ + Name: inst.Name, + Description: inst.Description, + Unit: inst.Unit, + } + in, _, err := i.cachedAggregator(inst.Scope, inst.Kind, stream, readerAggregation) + if err != nil { + errs.append(err) + } + if in != nil { + // Ensured to have not seen given matched was false. + measures = append(measures, in) + } + return measures, errs.errorOrNil() +} + +var aggIDCount uint64 + +// aggVal is the cached value in an aggregators cache. +type aggVal[N int64 | float64] struct { + ID uint64 + Measure aggregate.Measure[N] + Err error +} + +// readerDefaultAggregation returns the default aggregation for the instrument +// kind based on the reader's aggregation preferences. This is used unless the +// aggregation is overridden with a view. +func (i *inserter[N]) readerDefaultAggregation(kind InstrumentKind) Aggregation { + aggregation := i.pipeline.reader.aggregation(kind) + switch aggregation.(type) { + case nil, AggregationDefault: + // If the reader returns default or nil use the default selector. + aggregation = DefaultAggregationSelector(kind) + default: + // Deep copy and validate before using. + aggregation = aggregation.copy() + if err := aggregation.err(); err != nil { + orig := aggregation + aggregation = DefaultAggregationSelector(kind) + global.Error( + err, "using default aggregation instead", + "aggregation", orig, + "replacement", aggregation, + ) + } + } + return aggregation +} + +// cachedAggregator returns the appropriate aggregate input and output +// functions for an instrument configuration. If the exact instrument has been +// created within the inst.Scope, those aggregate function instances will be +// returned. Otherwise, new computed aggregate functions will be cached and +// returned. +// +// If the instrument configuration conflicts with an instrument that has +// already been created (e.g. description, unit, data type) a warning will be +// logged at the "Info" level with the global OTel logger. Valid new aggregate +// functions for the instrument configuration will still be returned without an +// error. +// +// If the instrument defines an unknown or incompatible aggregation, an error +// is returned. +func (i *inserter[N]) cachedAggregator(scope instrumentation.Scope, kind InstrumentKind, stream Stream, readerAggregation Aggregation) (meas aggregate.Measure[N], aggID uint64, err error) { + switch stream.Aggregation.(type) { + case nil: + // The aggregation was not overridden with a view. Use the aggregation + // provided by the reader. + stream.Aggregation = readerAggregation + case AggregationDefault: + // The view explicitly requested the default aggregation. + stream.Aggregation = DefaultAggregationSelector(kind) + } + + if err := isAggregatorCompatible(kind, stream.Aggregation); err != nil { + return nil, 0, fmt.Errorf( + "creating aggregator with instrumentKind: %d, aggregation %v: %w", + kind, stream.Aggregation, err, + ) + } + + id := i.instID(kind, stream) + // If there is a conflict, the specification says the view should + // still be applied and a warning should be logged. + i.logConflict(id) + + // If there are requests for the same instrument with different name + // casing, the first-seen needs to be returned. Use a normalize ID for the + // cache lookup to ensure the correct comparison. + normID := id.normalize() + cv := i.aggregators.Lookup(normID, func() aggVal[N] { + b := aggregate.Builder[N]{ + Temporality: i.pipeline.reader.temporality(kind), + } + b.Filter = stream.AttributeFilter + in, out, err := i.aggregateFunc(b, stream.Aggregation, kind) + if err != nil { + return aggVal[N]{0, nil, err} + } + if in == nil { // Drop aggregator. + return aggVal[N]{0, nil, nil} + } + i.pipeline.addSync(scope, instrumentSync{ + // Use the first-seen name casing for this and all subsequent + // requests of this instrument. + name: stream.Name, + description: stream.Description, + unit: stream.Unit, + compAgg: out, + }) + id := atomic.AddUint64(&aggIDCount, 1) + return aggVal[N]{id, in, err} + }) + return cv.Measure, cv.ID, cv.Err +} + +// logConflict validates if an instrument with the same case-insensitive name +// as id has already been created. If that instrument conflicts with id, a +// warning is logged. +func (i *inserter[N]) logConflict(id instID) { + // The API specification defines names as case-insensitive. If there is a + // different casing of a name it needs to be a conflict. + name := id.normalize().Name + existing := i.views.Lookup(name, func() instID { return id }) + if id == existing { + return + } + + const msg = "duplicate metric stream definitions" + args := []interface{}{ + "names", fmt.Sprintf("%q, %q", existing.Name, id.Name), + "descriptions", fmt.Sprintf("%q, %q", existing.Description, id.Description), + "kinds", fmt.Sprintf("%s, %s", existing.Kind, id.Kind), + "units", fmt.Sprintf("%s, %s", existing.Unit, id.Unit), + "numbers", fmt.Sprintf("%s, %s", existing.Number, id.Number), + } + + // The specification recommends logging a suggested view to resolve + // conflicts if possible. + // + // https://github.com/open-telemetry/opentelemetry-specification/blob/v1.21.0/specification/metrics/sdk.md#duplicate-instrument-registration + if id.Unit != existing.Unit || id.Number != existing.Number { + // There is no view resolution for these, don't make a suggestion. + global.Warn(msg, args...) + return + } + + var stream string + if id.Name != existing.Name || id.Kind != existing.Kind { + stream = `Stream{Name: "{{NEW_NAME}}"}` + } else if id.Description != existing.Description { + stream = fmt.Sprintf("Stream{Description: %q}", existing.Description) + } + + inst := fmt.Sprintf( + "Instrument{Name: %q, Description: %q, Kind: %q, Unit: %q}", + id.Name, id.Description, "InstrumentKind"+id.Kind.String(), id.Unit, + ) + args = append(args, "suggested.view", fmt.Sprintf("NewView(%s, %s)", inst, stream)) + + global.Warn(msg, args...) +} + +func (i *inserter[N]) instID(kind InstrumentKind, stream Stream) instID { + var zero N + return instID{ + Name: stream.Name, + Description: stream.Description, + Unit: stream.Unit, + Kind: kind, + Number: fmt.Sprintf("%T", zero), + } +} + +// aggregateFunc returns new aggregate functions matching agg, kind, and +// monotonic. If the agg is unknown or temporality is invalid, an error is +// returned. +func (i *inserter[N]) aggregateFunc(b aggregate.Builder[N], agg Aggregation, kind InstrumentKind) (meas aggregate.Measure[N], comp aggregate.ComputeAggregation, err error) { + switch a := agg.(type) { + case AggregationDefault: + return i.aggregateFunc(b, DefaultAggregationSelector(kind), kind) + case AggregationDrop: + // Return nil in and out to signify the drop aggregator. + case AggregationLastValue: + meas, comp = b.LastValue() + case AggregationSum: + switch kind { + case InstrumentKindObservableCounter: + meas, comp = b.PrecomputedSum(true) + case InstrumentKindObservableUpDownCounter: + meas, comp = b.PrecomputedSum(false) + case InstrumentKindCounter, InstrumentKindHistogram: + meas, comp = b.Sum(true) + default: + // InstrumentKindUpDownCounter, InstrumentKindObservableGauge, and + // instrumentKindUndefined or other invalid instrument kinds. + meas, comp = b.Sum(false) + } + case AggregationExplicitBucketHistogram: + var noSum bool + switch kind { + case InstrumentKindUpDownCounter, InstrumentKindObservableUpDownCounter, InstrumentKindObservableGauge: + // The sum should not be collected for any instrument that can make + // negative measurements: + // https://github.com/open-telemetry/opentelemetry-specification/blob/v1.21.0/specification/metrics/sdk.md#histogram-aggregations + noSum = true + } + meas, comp = b.ExplicitBucketHistogram(a.Boundaries, a.NoMinMax, noSum) + case AggregationBase2ExponentialHistogram: + var noSum bool + switch kind { + case InstrumentKindUpDownCounter, InstrumentKindObservableUpDownCounter, InstrumentKindObservableGauge: + // The sum should not be collected for any instrument that can make + // negative measurements: + // https://github.com/open-telemetry/opentelemetry-specification/blob/v1.21.0/specification/metrics/sdk.md#histogram-aggregations + noSum = true + } + meas, comp = b.ExponentialBucketHistogram(a.MaxSize, a.MaxScale, a.NoMinMax, noSum) + + default: + err = errUnknownAggregation + } + + return meas, comp, err +} + +// isAggregatorCompatible checks if the aggregation can be used by the instrument. +// Current compatibility: +// +// | Instrument Kind | Drop | LastValue | Sum | Histogram | Exponential Histogram | +// |--------------------------|------|-----------|-----|-----------|-----------------------| +// | Counter | ✓ | | ✓ | ✓ | ✓ | +// | UpDownCounter | ✓ | | ✓ | ✓ | ✓ | +// | Histogram | ✓ | | ✓ | ✓ | ✓ | +// | Observable Counter | ✓ | | ✓ | ✓ | ✓ | +// | Observable UpDownCounter | ✓ | | ✓ | ✓ | ✓ | +// | Observable Gauge | ✓ | ✓ | | ✓ | ✓ |. +func isAggregatorCompatible(kind InstrumentKind, agg Aggregation) error { + switch agg.(type) { + case AggregationDefault: + return nil + case AggregationExplicitBucketHistogram, AggregationBase2ExponentialHistogram: + switch kind { + case InstrumentKindCounter, + InstrumentKindUpDownCounter, + InstrumentKindHistogram, + InstrumentKindObservableCounter, + InstrumentKindObservableUpDownCounter, + InstrumentKindObservableGauge: + return nil + default: + return errIncompatibleAggregation + } + case AggregationSum: + switch kind { + case InstrumentKindObservableCounter, InstrumentKindObservableUpDownCounter, InstrumentKindCounter, InstrumentKindHistogram, InstrumentKindUpDownCounter: + return nil + default: + // TODO: review need for aggregation check after + // https://github.com/open-telemetry/opentelemetry-specification/issues/2710 + return errIncompatibleAggregation + } + case AggregationLastValue: + if kind == InstrumentKindObservableGauge { + return nil + } + // TODO: review need for aggregation check after + // https://github.com/open-telemetry/opentelemetry-specification/issues/2710 + return errIncompatibleAggregation + case AggregationDrop: + return nil + default: + // This is used passed checking for default, it should be an error at this point. + return fmt.Errorf("%w: %v", errUnknownAggregation, agg) + } +} + +// pipelines is the group of pipelines connecting Readers with instrument +// measurement. +type pipelines []*pipeline + +func newPipelines(res *resource.Resource, readers []Reader, views []View) pipelines { + pipes := make([]*pipeline, 0, len(readers)) + for _, r := range readers { + p := newPipeline(res, r, views) + r.register(p) + pipes = append(pipes, p) + } + return pipes +} + +func (p pipelines) registerCallback(cback func(context.Context) error) { + for _, pipe := range p { + pipe.addCallback(cback) + } +} + +func (p pipelines) registerMultiCallback(c multiCallback) metric.Registration { + unregs := make([]func(), len(p)) + for i, pipe := range p { + unregs[i] = pipe.addMultiCallback(c) + } + return unregisterFuncs{f: unregs} +} + +type unregisterFuncs struct { + embedded.Registration + f []func() +} + +func (u unregisterFuncs) Unregister() error { + for _, f := range u.f { + f() + } + return nil +} + +// resolver facilitates resolving aggregate functions an instrument calls to +// aggregate measurements with while updating all pipelines that need to pull +// from those aggregations. +type resolver[N int64 | float64] struct { + inserters []*inserter[N] +} + +func newResolver[N int64 | float64](p pipelines, vc *cache[string, instID]) resolver[N] { + in := make([]*inserter[N], len(p)) + for i := range in { + in[i] = newInserter[N](p[i], vc) + } + return resolver[N]{in} +} + +// Aggregators returns the Aggregators that must be updated by the instrument +// defined by key. +func (r resolver[N]) Aggregators(id Instrument) ([]aggregate.Measure[N], error) { + var measures []aggregate.Measure[N] + + errs := &multierror{} + for _, i := range r.inserters { + in, err := i.Instrument(id, i.readerDefaultAggregation(id.Kind)) + if err != nil { + errs.append(err) + } + measures = append(measures, in...) + } + return measures, errs.errorOrNil() +} + +// HistogramAggregators returns the histogram Aggregators that must be updated by the instrument +// defined by key. If boundaries were provided on instrument instantiation, those take precedence +// over boundaries provided by the reader. +func (r resolver[N]) HistogramAggregators(id Instrument, boundaries []float64) ([]aggregate.Measure[N], error) { + var measures []aggregate.Measure[N] + + errs := &multierror{} + for _, i := range r.inserters { + agg := i.readerDefaultAggregation(id.Kind) + if histAgg, ok := agg.(AggregationExplicitBucketHistogram); ok && len(boundaries) > 0 { + histAgg.Boundaries = boundaries + agg = histAgg + } + in, err := i.Instrument(id, agg) + if err != nil { + errs.append(err) + } + measures = append(measures, in...) + } + return measures, errs.errorOrNil() +} + +type multierror struct { + wrapped error + errors []string +} + +func (m *multierror) errorOrNil() error { + if len(m.errors) == 0 { + return nil + } + if m.wrapped == nil { + return errors.New(strings.Join(m.errors, "; ")) + } + return fmt.Errorf("%w: %s", m.wrapped, strings.Join(m.errors, "; ")) +} + +func (m *multierror) append(err error) { + m.errors = append(m.errors, err.Error()) +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/provider.go b/vendor/go.opentelemetry.io/otel/sdk/metric/provider.go new file mode 100644 index 000000000..7d1a9183c --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/provider.go @@ -0,0 +1,154 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "sync/atomic" + + "go.opentelemetry.io/otel/internal/global" + "go.opentelemetry.io/otel/metric" + "go.opentelemetry.io/otel/metric/embedded" + "go.opentelemetry.io/otel/metric/noop" + "go.opentelemetry.io/otel/sdk/instrumentation" +) + +// MeterProvider handles the creation and coordination of Meters. All Meters +// created by a MeterProvider will be associated with the same Resource, have +// the same Views applied to them, and have their produced metric telemetry +// passed to the configured Readers. +type MeterProvider struct { + embedded.MeterProvider + + pipes pipelines + meters cache[instrumentation.Scope, *meter] + + forceFlush, shutdown func(context.Context) error + stopped atomic.Bool +} + +// Compile-time check MeterProvider implements metric.MeterProvider. +var _ metric.MeterProvider = (*MeterProvider)(nil) + +// NewMeterProvider returns a new and configured MeterProvider. +// +// By default, the returned MeterProvider is configured with the default +// Resource and no Readers. Readers cannot be added after a MeterProvider is +// created. This means the returned MeterProvider, one created with no +// Readers, will perform no operations. +func NewMeterProvider(options ...Option) *MeterProvider { + conf := newConfig(options) + flush, sdown := conf.readerSignals() + + mp := &MeterProvider{ + pipes: newPipelines(conf.res, conf.readers, conf.views), + forceFlush: flush, + shutdown: sdown, + } + // Log after creation so all readers show correctly they are registered. + global.Info("MeterProvider created", + "Resource", conf.res, + "Readers", conf.readers, + "Views", len(conf.views), + ) + return mp +} + +// Meter returns a Meter with the given name and configured with options. +// +// The name should be the name of the instrumentation scope creating +// telemetry. This name may be the same as the instrumented code only if that +// code provides built-in instrumentation. +// +// Calls to the Meter method after Shutdown has been called will return Meters +// that perform no operations. +// +// This method is safe to call concurrently. +func (mp *MeterProvider) Meter(name string, options ...metric.MeterOption) metric.Meter { + if name == "" { + global.Warn("Invalid Meter name.", "name", name) + } + + if mp.stopped.Load() { + return noop.Meter{} + } + + c := metric.NewMeterConfig(options...) + s := instrumentation.Scope{ + Name: name, + Version: c.InstrumentationVersion(), + SchemaURL: c.SchemaURL(), + } + + global.Info("Meter created", + "Name", s.Name, + "Version", s.Version, + "SchemaURL", s.SchemaURL, + ) + + return mp.meters.Lookup(s, func() *meter { + return newMeter(s, mp.pipes) + }) +} + +// ForceFlush flushes all pending telemetry. +// +// This method honors the deadline or cancellation of ctx. An appropriate +// error will be returned in these situations. There is no guaranteed that all +// telemetry be flushed or all resources have been released in these +// situations. +// +// ForceFlush calls ForceFlush(context.Context) error +// on all Readers that implements this method. +// +// This method is safe to call concurrently. +func (mp *MeterProvider) ForceFlush(ctx context.Context) error { + if mp.forceFlush != nil { + return mp.forceFlush(ctx) + } + return nil +} + +// Shutdown shuts down the MeterProvider flushing all pending telemetry and +// releasing any held computational resources. +// +// This call is idempotent. The first call will perform all flush and +// releasing operations. Subsequent calls will perform no action and will +// return an error stating this. +// +// Measurements made by instruments from meters this MeterProvider created +// will not be exported after Shutdown is called. +// +// This method honors the deadline or cancellation of ctx. An appropriate +// error will be returned in these situations. There is no guaranteed that all +// telemetry be flushed or all resources have been released in these +// situations. +// +// This method is safe to call concurrently. +func (mp *MeterProvider) Shutdown(ctx context.Context) error { + // Even though it may seem like there is a synchronization issue between the + // call to `Store` and checking `shutdown`, the Go concurrency model ensures + // that is not the case, as all the atomic operations executed in a program + // behave as though executed in some sequentially consistent order. This + // definition provides the same semantics as C++'s sequentially consistent + // atomics and Java's volatile variables. + // See https://go.dev/ref/mem#atomic and https://pkg.go.dev/sync/atomic. + + mp.stopped.Store(true) + if mp.shutdown != nil { + return mp.shutdown(ctx) + } + return nil +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/reader.go b/vendor/go.opentelemetry.io/otel/sdk/metric/reader.go new file mode 100644 index 000000000..65cedaf3c --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/reader.go @@ -0,0 +1,200 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "context" + "fmt" + + "go.opentelemetry.io/otel/sdk/metric/metricdata" +) + +// errDuplicateRegister is logged by a Reader when an attempt to registered it +// more than once occurs. +var errDuplicateRegister = fmt.Errorf("duplicate reader registration") + +// ErrReaderNotRegistered is returned if Collect or Shutdown are called before +// the reader is registered with a MeterProvider. +var ErrReaderNotRegistered = fmt.Errorf("reader is not registered") + +// ErrReaderShutdown is returned if Collect or Shutdown are called after a +// reader has been Shutdown once. +var ErrReaderShutdown = fmt.Errorf("reader is shutdown") + +// errNonPositiveDuration is logged when an environmental variable +// has non-positive value. +var errNonPositiveDuration = fmt.Errorf("non-positive duration") + +// Reader is the interface used between the SDK and an +// exporter. Control flow is bi-directional through the +// Reader, since the SDK initiates ForceFlush and Shutdown +// while the exporter initiates collection. The Register() method here +// informs the Reader that it can begin reading, signaling the +// start of bi-directional control flow. +// +// Typically, push-based exporters that are periodic will +// implement PeroidicExporter themselves and construct a +// PeriodicReader to satisfy this interface. +// +// Pull-based exporters will typically implement Register +// themselves, since they read on demand. +// +// Warning: methods may be added to this interface in minor releases. +type Reader interface { + // register registers a Reader with a MeterProvider. + // The producer argument allows the Reader to signal the sdk to collect + // and send aggregated metric measurements. + register(sdkProducer) + + // temporality reports the Temporality for the instrument kind provided. + // + // This method needs to be concurrent safe with itself and all the other + // Reader methods. + temporality(InstrumentKind) metricdata.Temporality + + // aggregation returns what Aggregation to use for an instrument kind. + // + // This method needs to be concurrent safe with itself and all the other + // Reader methods. + aggregation(InstrumentKind) Aggregation // nolint:revive // import-shadow for method scoped by type. + + // Collect gathers and returns all metric data related to the Reader from + // the SDK and stores it in out. An error is returned if this is called + // after Shutdown or if out is nil. + // + // This method needs to be concurrent safe, and the cancellation of the + // passed context is expected to be honored. + Collect(ctx context.Context, rm *metricdata.ResourceMetrics) error + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. + + // Shutdown flushes all metric measurements held in an export pipeline and releases any + // held computational resources. + // + // This deadline or cancellation of the passed context are honored. An appropriate + // error will be returned in these situations. There is no guaranteed that all + // telemetry be flushed or all resources have been released in these + // situations. + // + // After Shutdown is called, calls to Collect will perform no operation and instead will return + // an error indicating the shutdown state. + // + // This method needs to be concurrent safe. + Shutdown(context.Context) error + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. +} + +// sdkProducer produces metrics for a Reader. +type sdkProducer interface { + // produce returns aggregated metrics from a single collection. + // + // This method is safe to call concurrently. + produce(context.Context, *metricdata.ResourceMetrics) error +} + +// Producer produces metrics for a Reader from an external source. +type Producer interface { + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. + + // Produce returns aggregated metrics from an external source. + // + // This method should be safe to call concurrently. + Produce(context.Context) ([]metricdata.ScopeMetrics, error) + // DO NOT CHANGE: any modification will not be backwards compatible and + // must never be done outside of a new major release. +} + +// produceHolder is used as an atomic.Value to wrap the non-concrete producer +// type. +type produceHolder struct { + produce func(context.Context, *metricdata.ResourceMetrics) error +} + +// shutdownProducer produces an ErrReaderShutdown error always. +type shutdownProducer struct{} + +// produce returns an ErrReaderShutdown error. +func (p shutdownProducer) produce(context.Context, *metricdata.ResourceMetrics) error { + return ErrReaderShutdown +} + +// TemporalitySelector selects the temporality to use based on the InstrumentKind. +type TemporalitySelector func(InstrumentKind) metricdata.Temporality + +// DefaultTemporalitySelector is the default TemporalitySelector used if +// WithTemporalitySelector is not provided. CumulativeTemporality will be used +// for all instrument kinds if this TemporalitySelector is used. +func DefaultTemporalitySelector(InstrumentKind) metricdata.Temporality { + return metricdata.CumulativeTemporality +} + +// AggregationSelector selects the aggregation and the parameters to use for +// that aggregation based on the InstrumentKind. +// +// If the Aggregation returned is nil or DefaultAggregation, the selection from +// DefaultAggregationSelector will be used. +type AggregationSelector func(InstrumentKind) Aggregation + +// DefaultAggregationSelector returns the default aggregation and parameters +// that will be used to summarize measurement made from an instrument of +// InstrumentKind. This AggregationSelector using the following selection +// mapping: Counter ⇨ Sum, Observable Counter ⇨ Sum, UpDownCounter ⇨ Sum, +// Observable UpDownCounter ⇨ Sum, Observable Gauge ⇨ LastValue, +// Histogram ⇨ ExplicitBucketHistogram. +func DefaultAggregationSelector(ik InstrumentKind) Aggregation { + switch ik { + case InstrumentKindCounter, InstrumentKindUpDownCounter, InstrumentKindObservableCounter, InstrumentKindObservableUpDownCounter: + return AggregationSum{} + case InstrumentKindObservableGauge: + return AggregationLastValue{} + case InstrumentKindHistogram: + return AggregationExplicitBucketHistogram{ + Boundaries: []float64{0, 5, 10, 25, 50, 75, 100, 250, 500, 750, 1000, 2500, 5000, 7500, 10000}, + NoMinMax: false, + } + } + panic("unknown instrument kind") +} + +// ReaderOption is an option which can be applied to manual or Periodic +// readers. +type ReaderOption interface { + PeriodicReaderOption + ManualReaderOption +} + +// WithProducers registers producers as an external Producer of metric data +// for this Reader. +func WithProducer(p Producer) ReaderOption { + return producerOption{p: p} +} + +type producerOption struct { + p Producer +} + +// applyManual returns a manualReaderConfig with option applied. +func (o producerOption) applyManual(c manualReaderConfig) manualReaderConfig { + c.producers = append(c.producers, o.p) + return c +} + +// applyPeriodic returns a periodicReaderConfig with option applied. +func (o producerOption) applyPeriodic(c periodicReaderConfig) periodicReaderConfig { + c.producers = append(c.producers, o.p) + return c +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/version.go b/vendor/go.opentelemetry.io/otel/sdk/metric/version.go new file mode 100644 index 000000000..edcf7cfc8 --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/version.go @@ -0,0 +1,20 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +// version is the current release version of the metric SDK in use. +func version() string { + return "1.21.0" +} diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/view.go b/vendor/go.opentelemetry.io/otel/sdk/metric/view.go new file mode 100644 index 000000000..65f243bef --- /dev/null +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/view.go @@ -0,0 +1,128 @@ +// Copyright The OpenTelemetry Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package metric // import "go.opentelemetry.io/otel/sdk/metric" + +import ( + "errors" + "regexp" + "strings" + + "go.opentelemetry.io/otel/internal/global" +) + +var ( + errMultiInst = errors.New("name replacement for multiple instruments") + errEmptyView = errors.New("no criteria provided for view") + + emptyView = func(Instrument) (Stream, bool) { return Stream{}, false } +) + +// View is an override to the default behavior of the SDK. It defines how data +// should be collected for certain instruments. It returns true and the exact +// Stream to use for matching Instruments. Otherwise, if the view does not +// match, false is returned. +type View func(Instrument) (Stream, bool) + +// NewView returns a View that applies the Stream mask for all instruments that +// match criteria. The returned View will only apply mask if all non-zero-value +// fields of criteria match the corresponding Instrument passed to the view. If +// no criteria are provided, all field of criteria are their zero-values, a +// view that matches no instruments is returned. If you need to match a +// zero-value field, create a View directly. +// +// The Name field of criteria supports wildcard pattern matching. The "*" +// wildcard is recognized as matching zero or more characters, and "?" is +// recognized as matching exactly one character. For example, a pattern of "*" +// matches all instrument names. +// +// The Stream mask only applies updates for non-zero-value fields. By default, +// the Instrument the View matches against will be use for the Name, +// Description, and Unit of the returned Stream and no Aggregation or +// AttributeFilter are set. All non-zero-value fields of mask are used instead +// of the default. If you need to zero out an Stream field returned from a +// View, create a View directly. +func NewView(criteria Instrument, mask Stream) View { + if criteria.empty() { + global.Error( + errEmptyView, "dropping view", + "mask", mask, + ) + return emptyView + } + + var matchFunc func(Instrument) bool + if strings.ContainsAny(criteria.Name, "*?") { + if mask.Name != "" { + global.Error( + errMultiInst, "dropping view", + "criteria", criteria, + "mask", mask, + ) + return emptyView + } + + // Handle branching here in NewView instead of criteria.matches so + // criteria.matches remains inlinable for the simple case. + pattern := regexp.QuoteMeta(criteria.Name) + pattern = "^" + pattern + "$" + pattern = strings.ReplaceAll(pattern, `\?`, ".") + pattern = strings.ReplaceAll(pattern, `\*`, ".*") + re := regexp.MustCompile(pattern) + matchFunc = func(i Instrument) bool { + return re.MatchString(i.Name) && + criteria.matchesDescription(i) && + criteria.matchesKind(i) && + criteria.matchesUnit(i) && + criteria.matchesScope(i) + } + } else { + matchFunc = criteria.matches + } + + var agg Aggregation + if mask.Aggregation != nil { + agg = mask.Aggregation.copy() + if err := agg.err(); err != nil { + global.Error( + err, "not using aggregation with view", + "criteria", criteria, + "mask", mask, + ) + agg = nil + } + } + + return func(i Instrument) (Stream, bool) { + if matchFunc(i) { + return Stream{ + Name: nonZero(mask.Name, i.Name), + Description: nonZero(mask.Description, i.Description), + Unit: nonZero(mask.Unit, i.Unit), + Aggregation: agg, + AttributeFilter: mask.AttributeFilter, + }, true + } + return Stream{}, false + } +} + +// nonZero returns v if it is non-zero-valued, otherwise alt. +func nonZero[T comparable](v, alt T) T { + var zero T + if v != zero { + return v + } + return alt +} |