mirror of
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117 lines
3 KiB
Go
117 lines
3 KiB
Go
// Copyright 2017 The Hugo Authors. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Package metrics provides simple metrics tracking features.
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package metrics
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import (
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"fmt"
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"io"
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"sort"
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"sync"
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"time"
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)
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// The Provider interface defines an interface for measuring metrics.
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type Provider interface {
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// MeasureSince adds a measurement for key to the metric store.
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// Used with defer and time.Now().
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MeasureSince(key string, start time.Time)
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// WriteMetrics will write a summary of the metrics to w.
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WriteMetrics(w io.Writer)
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// Reset clears the metric store.
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Reset()
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}
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// Store provides storage for a set of metrics.
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type Store struct {
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metrics map[string][]time.Duration
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mu *sync.Mutex
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}
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// NewProvider returns a new instance of a metric store.
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func NewProvider() Provider {
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return &Store{
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metrics: make(map[string][]time.Duration),
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mu: &sync.Mutex{},
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}
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}
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// Reset clears the metrics store.
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func (s *Store) Reset() {
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s.mu.Lock()
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s.metrics = make(map[string][]time.Duration)
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s.mu.Unlock()
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}
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// MeasureSince adds a measurement for key to the metric store.
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func (s *Store) MeasureSince(key string, start time.Time) {
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s.mu.Lock()
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s.metrics[key] = append(s.metrics[key], time.Since(start))
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s.mu.Unlock()
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}
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// WriteMetrics writes a summary of the metrics to w.
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func (s *Store) WriteMetrics(w io.Writer) {
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s.mu.Lock()
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results := make([]result, len(s.metrics))
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var i int
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for k, v := range s.metrics {
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var sum time.Duration
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var max time.Duration
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for _, d := range v {
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sum += d
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if d > max {
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max = d
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}
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}
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avg := time.Duration(int(sum) / len(v))
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results[i] = result{key: k, count: len(v), max: max, sum: sum, avg: avg}
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i++
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}
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s.mu.Unlock()
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// sort and print results
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fmt.Fprintf(w, " %13s %12s %12s %5s %s\n", "cumulative", "average", "maximum", "", "")
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fmt.Fprintf(w, " %13s %12s %12s %5s %s\n", "duration", "duration", "duration", "count", "template")
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fmt.Fprintf(w, " %13s %12s %12s %5s %s\n", "----------", "--------", "--------", "-----", "--------")
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sort.Sort(bySum(results))
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for _, v := range results {
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fmt.Fprintf(w, " %13s %12s %12s %5d %s\n", v.sum, v.avg, v.max, v.count, v.key)
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}
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}
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// A result represents the calculated results for a given metric.
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type result struct {
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key string
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count int
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sum time.Duration
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max time.Duration
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avg time.Duration
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}
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type bySum []result
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func (b bySum) Len() int { return len(b) }
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func (b bySum) Swap(i, j int) { b[i], b[j] = b[j], b[i] }
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func (b bySum) Less(i, j int) bool { return b[i].sum > b[j].sum }
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