Files
weave-scope/vendor/github.com/weaveworks/common/logging/dedupe.go
Marc Carré 652cc90f98 Update weaveworks/common to latest version
```
$ gvt delete github.com/weaveworks/common
$ gvt fetch --revision 4d96fd8dcf2c7b417912c6219b310112cb4a4626 github.com/weaveworks/common
2018/07/23 15:31:11 Fetching: github.com/weaveworks/common
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2018/07/23 15:32:37 ·· Fetching recursive dependency: github.com/grpc-ecosystem/go-grpc-middleware/logging
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```
2018-07-23 20:10:13 +02:00

138 lines
4.3 KiB
Go

package logging
import (
"fmt"
"strings"
"sync"
"time"
log "github.com/sirupsen/logrus"
)
const (
defaultDedupeInterval = time.Minute
)
// SetupDeduplication should be performed after any other logging setup.
// For all logs less severe or equal to the given log level (but still higher than the logger's configured log level),
// these logs will be 'deduplicated'. What this means is that, excluding certain special fields like time, multiple
// identical log entries will be grouped up and a summary message emitted.
// For example, instead of:
// 00:00:00 INFO User 123 did xyz
// 00:00:10 INFO User 123 did xyz
// 00:00:25 INFO User 123 did xyz
// 00:00:55 INFO User 123 did xyz
// you would get:
// 00:00:00 INFO User 123 did xyz
// 00:01:00 INFO Repeated 3 times: User 123 did xyz
// The interval argument controls how long to wait for additional messages to arrive before reporting.
// Increase it to deduplicate more aggressively, decrease it to lower latency from a log occurring to it appearing.
// Set it to 0 to pick a sensible default value (recommended).
// NOTE: For simplicity and efficiency, fields are considered 'equal' if and only if their string representations (%v) are equal.
func SetupDeduplication(logLevel string, interval time.Duration) error {
dedupeLevel, err := log.ParseLevel(logLevel)
if err != nil {
return fmt.Errorf("Error parsing log level: %v", err)
}
if interval <= 0 {
interval = defaultDedupeInterval
}
// We use a special Formatter to either format the log using the original formatter, or to return ""
// so nothing will be written for that event. The repeated entries are later logged along with a field flag
// that tells the formatter to ignore the message.
stdLogger := log.StandardLogger()
stdLogger.Formatter = newDedupeFormatter(stdLogger.Formatter, dedupeLevel, interval)
return nil
}
type entryCount struct {
entry log.Entry
count int
}
type dedupeFormatter struct {
innerFormatter log.Formatter
level log.Level
interval time.Duration
seen map[string]entryCount
lock sync.Mutex
}
func newDedupeFormatter(innerFormatter log.Formatter, level log.Level, interval time.Duration) *dedupeFormatter {
return &dedupeFormatter{
innerFormatter: innerFormatter,
level: level,
interval: interval,
seen: map[string]entryCount{},
}
}
func (f *dedupeFormatter) Format(entry *log.Entry) ([]byte, error) {
if f.shouldLog(entry) {
b, err := f.innerFormatter.Format(entry)
return b, err
}
return []byte{}, nil
}
func (f *dedupeFormatter) shouldLog(entry *log.Entry) bool {
if _, ok := entry.Data["deduplicated"]; ok {
// ignore our own logs about deduped messages
return true
}
if entry.Level < f.level {
// ignore logs more severe than our level
return true
}
key := fmt.Sprintf("%s %s", entry.Message, fieldsToString(entry.Data))
f.lock.Lock()
defer f.lock.Unlock()
if ec, ok := f.seen[key]; ok {
// already seen, increment count and do not log
ec.count++
f.seen[key] = ec
return false
}
// New message, log it but add it to seen.
// We need to copy because the pointer ceases to be valid after we return from Format
f.seen[key] = entryCount{entry: *entry}
go f.evictEntry(key) // queue to evict later
return true
}
// Wait for interval seconds then evict the entry and send the log
func (f *dedupeFormatter) evictEntry(key string) {
time.Sleep(f.interval)
var ec entryCount
func() {
f.lock.Lock()
defer f.lock.Unlock()
ec = f.seen[key]
delete(f.seen, key)
}()
if ec.count == 0 {
return
}
entry := log.WithFields(ec.entry.Data).WithField("deduplicated", ec.count)
message := fmt.Sprintf("Repeated %d times: %s", ec.count, ec.entry.Message)
// There's no way to choose the log level dynamically, so we have to do this hack
map[log.Level]func(args ...interface{}){
log.PanicLevel: entry.Panic,
log.FatalLevel: entry.Fatal,
log.ErrorLevel: entry.Error,
log.WarnLevel: entry.Warn,
log.InfoLevel: entry.Info,
log.DebugLevel: entry.Debug,
}[ec.entry.Level](message)
}
func fieldsToString(data log.Fields) string {
parts := make([]string, 0, len(data))
// traversal order here is arbitrary but stable, which is fine for our purposes
for k, v := range data {
parts = append(parts, fmt.Sprintf("%s=%v", k, v))
}
return strings.Join(parts, " ")
}