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Fix duplicated tags in InfluxDB

This commit is contained in:
Michael 2018-04-16 10:28:04 +02:00 committed by Traefiker Bot
parent 749d833f65
commit ebd77f314d
20 changed files with 530 additions and 209 deletions

View file

@ -35,14 +35,15 @@
// idea to log simple values without formatting them. This practice allows
// the chosen logger to encode values in the most appropriate way.
//
// Log Context
// Contextual Loggers
//
// A log context stores keyvals that it includes in all log events. Building
// appropriate log contexts reduces repetition and aids consistency in the
// resulting log output. We can use a context to improve the RunTask example.
// A contextual logger stores keyvals that it includes in all log events.
// Building appropriate contextual loggers reduces repetition and aids
// consistency in the resulting log output. With and WithPrefix add context to
// a logger. We can use With to improve the RunTask example.
//
// func RunTask(task Task, logger log.Logger) string {
// logger = log.NewContext(logger).With("taskID", task.ID)
// logger = log.With(logger, "taskID", task.ID)
// logger.Log("event", "starting task")
// ...
// taskHelper(task.Cmd, logger)
@ -51,19 +52,18 @@
// }
//
// The improved version emits the same log events as the original for the
// first and last calls to Log. The call to taskHelper highlights that a
// context may be passed as a logger to other functions. Each log event
// created by the called function will include the task.ID even though the
// function does not have access to that value. Using log contexts this way
// simplifies producing log output that enables tracing the life cycle of
// individual tasks. (See the Context example for the full code of the
// above snippet.)
// first and last calls to Log. Passing the contextual logger to taskHelper
// enables each log event created by taskHelper to include the task.ID even
// though taskHelper does not have access to that value. Using contextual
// loggers this way simplifies producing log output that enables tracing the
// life cycle of individual tasks. (See the Contextual example for the full
// code of the above snippet.)
//
// Dynamic Context Values
// Dynamic Contextual Values
//
// A Valuer function stored in a log context generates a new value each time
// the context logs an event. The Valuer example demonstrates how this
// feature works.
// A Valuer function stored in a contextual logger generates a new value each
// time an event is logged. The Valuer example demonstrates how this feature
// works.
//
// Valuers provide the basis for consistently logging timestamps and source
// code location. The log package defines several valuers for that purpose.
@ -72,7 +72,7 @@
// entries contain a timestamp and source location looks like this:
//
// logger := log.NewLogfmtLogger(log.NewSyncWriter(os.Stdout))
// logger = log.NewContext(logger).With("ts", log.DefaultTimestampUTC, "caller", log.DefaultCaller)
// logger = log.With(logger, "ts", log.DefaultTimestampUTC, "caller", log.DefaultCaller)
//
// Concurrent Safety
//
@ -90,4 +90,27 @@
// handled atomically within the wrapped logger, but it typically serializes
// both the formatting and output logic. Use a SyncLogger if the formatting
// logger may perform multiple writes per log event.
//
// Error Handling
//
// This package relies on the practice of wrapping or decorating loggers with
// other loggers to provide composable pieces of functionality. It also means
// that Logger.Log must return an error because some
// implementations—especially those that output log data to an io.Writer—may
// encounter errors that cannot be handled locally. This in turn means that
// Loggers that wrap other loggers should return errors from the wrapped
// logger up the stack.
//
// Fortunately, the decorator pattern also provides a way to avoid the
// necessity to check for errors every time an application calls Logger.Log.
// An application required to panic whenever its Logger encounters
// an error could initialize its logger as follows.
//
// fmtlogger := log.NewLogfmtLogger(log.NewSyncWriter(os.Stdout))
// logger := log.LoggerFunc(func(keyvals ...interface{}) error {
// if err := fmtlogger.Log(keyvals...); err != nil {
// panic(err)
// }
// return nil
// })
package log