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// 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. | ||
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package metric // import "go.opentelemetry.io/otel/sdk/metric" | ||
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import ( | ||
"errors" | ||
"fmt" | ||
) | ||
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// errAgg is wrapped by misconfigured aggregations. | ||
var errAgg = errors.New("aggregation") | ||
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// Aggregation is the aggregation used to summarize recorded measurements. | ||
type Aggregation interface { | ||
// copy returns a deep copy of the Aggregation. | ||
copy() Aggregation | ||
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// err returns an error for any misconfigured Aggregation. | ||
err() error | ||
} | ||
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// AggregationDrop is an Aggregation that drops all recorded data. | ||
type AggregationDrop struct{} // Drop has no parameters. | ||
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var _ Aggregation = AggregationDrop{} | ||
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// copy returns a deep copy of d. | ||
func (d AggregationDrop) copy() Aggregation { return d } | ||
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// 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 } | ||
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// 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 "go.opentelemetry.io/otel/sdk/metric".DefaultAggregationSelector | ||
// for information about the default instrument kind selection mapping. | ||
type AggregationDefault struct{} // Default has no parameters. | ||
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var _ Aggregation = AggregationDefault{} | ||
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// copy returns a deep copy of d. | ||
func (d AggregationDefault) copy() Aggregation { return d } | ||
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// 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 } | ||
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// Sum is an Aggregation that summarizes a set of measurements as their | ||
// arithmetic sum. | ||
type Sum struct{} // Sum has no parameters. | ||
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var _ Aggregation = Sum{} | ||
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// copy returns a deep copy of s. | ||
func (s Sum) copy() Aggregation { return s } | ||
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// err returns an error for any misconfiguration. A Sum aggregation has no | ||
// parameters and cannot be misconfigured, therefore this always returns nil. | ||
func (Sum) err() error { return nil } | ||
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// AggregationLastValue is an Aggregation that summarizes a set of measurements as the | ||
// last one made. | ||
type AggregationLastValue struct{} // LastValue has no parameters. | ||
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var _ Aggregation = AggregationLastValue{} | ||
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// copy returns a deep copy of l. | ||
func (l AggregationLastValue) copy() Aggregation { return l } | ||
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// err returns an error for any misconfiguration. A LastValue aggregation has | ||
// no parameters and cannot be misconfigured, therefore this always returns | ||
// nil. | ||
func (AggregationLastValue) err() error { return nil } | ||
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// 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 | ||
} | ||
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var _ Aggregation = AggregationExplicitBucketHistogram{} | ||
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// errHist is returned by misconfigured ExplicitBucketHistograms. | ||
var errHist = fmt.Errorf("%w: explicit bucket histogram", errAgg) | ||
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// err returns an error for any misconfiguration. | ||
func (h AggregationExplicitBucketHistogram) err() error { | ||
if len(h.Boundaries) <= 1 { | ||
return nil | ||
} | ||
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// 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 | ||
} | ||
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return nil | ||
} | ||
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// 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, | ||
} | ||
} | ||
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// 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 use. | ||
MaxScale int32 | ||
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// 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 | ||
} | ||
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var _ Aggregation = AggregationBase2ExponentialHistogram{} | ||
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// copy returns a deep copy of the Aggregation. | ||
func (e AggregationBase2ExponentialHistogram) copy() Aggregation { | ||
return e | ||
} | ||
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const ( | ||
expoMaxScale = 20 | ||
expoMinScale = -10 | ||
) | ||
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// errExpoHist is returned by misconfigured Base2ExponentialBucketHistograms. | ||
var errExpoHist = fmt.Errorf("%w: exponential histogram", errAgg) | ||
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// 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 | ||
} |
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// 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. | ||
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package metric | ||
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import ( | ||
"testing" | ||
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"github.com/stretchr/testify/assert" | ||
) | ||
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func TestAggregationErr(t *testing.T) { | ||
t.Run("DropOperation", func(t *testing.T) { | ||
assert.NoError(t, AggregationDrop{}.err()) | ||
}) | ||
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t.Run("SumOperation", func(t *testing.T) { | ||
assert.NoError(t, Sum{}.err()) | ||
}) | ||
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t.Run("LastValueOperation", func(t *testing.T) { | ||
assert.NoError(t, AggregationLastValue{}.err()) | ||
}) | ||
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t.Run("ExplicitBucketHistogramOperation", func(t *testing.T) { | ||
assert.NoError(t, AggregationExplicitBucketHistogram{}.err()) | ||
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assert.NoError(t, AggregationExplicitBucketHistogram{ | ||
Boundaries: []float64{0}, | ||
NoMinMax: true, | ||
}.err()) | ||
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assert.NoError(t, AggregationExplicitBucketHistogram{ | ||
Boundaries: []float64{0, 5, 10, 25, 50, 75, 100, 250, 500, 1000}, | ||
}.err()) | ||
}) | ||
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t.Run("NonmonotonicHistogramBoundaries", func(t *testing.T) { | ||
assert.ErrorIs(t, AggregationExplicitBucketHistogram{ | ||
Boundaries: []float64{2, 1}, | ||
}.err(), errAgg) | ||
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assert.ErrorIs(t, AggregationExplicitBucketHistogram{ | ||
Boundaries: []float64{0, 1, 2, 1, 3, 4}, | ||
}.err(), errAgg) | ||
}) | ||
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t.Run("ExponentialHistogramOperation", func(t *testing.T) { | ||
assert.NoError(t, AggregationBase2ExponentialHistogram{ | ||
MaxSize: 160, | ||
MaxScale: 20, | ||
}.err()) | ||
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assert.NoError(t, AggregationBase2ExponentialHistogram{ | ||
MaxSize: 1, | ||
NoMinMax: true, | ||
}.err()) | ||
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assert.NoError(t, AggregationBase2ExponentialHistogram{ | ||
MaxSize: 1024, | ||
MaxScale: -3, | ||
}.err()) | ||
}) | ||
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t.Run("InvalidExponentialHistogramOperation", func(t *testing.T) { | ||
// MazSize must be greater than 0 | ||
assert.ErrorIs(t, AggregationBase2ExponentialHistogram{}.err(), errAgg) | ||
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// MaxScale Must be <=20 | ||
assert.ErrorIs(t, AggregationBase2ExponentialHistogram{ | ||
MaxSize: 1, | ||
MaxScale: 30, | ||
}.err(), errAgg) | ||
}) | ||
} | ||
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func TestExplicitBucketHistogramDeepCopy(t *testing.T) { | ||
const orig = 0.0 | ||
b := []float64{orig} | ||
h := AggregationExplicitBucketHistogram{Boundaries: b} | ||
cpH := h.copy().(AggregationExplicitBucketHistogram) | ||
b[0] = orig + 1 | ||
assert.Equal(t, orig, cpH.Boundaries[0], "changing the underlying slice data should not affect the copy") | ||
} |
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