93 lines
4.2 KiB
Go
93 lines
4.2 KiB
Go
// Package log provides a structured logger.
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//
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// Structured logging produces logs easily consumed later by humans or
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// machines. Humans might be interested in debugging errors, or tracing
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// specific requests. Machines might be interested in counting interesting
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// events, or aggregating information for off-line processing. In both cases,
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// it is important that the log messages are structured and actionable.
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// Package log is designed to encourage both of these best practices.
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//
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// Basic Usage
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//
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// The fundamental interface is Logger. Loggers create log events from
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// key/value data. The Logger interface has a single method, Log, which
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// accepts a sequence of alternating key/value pairs, which this package names
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// keyvals.
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//
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// type Logger interface {
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// Log(keyvals ...interface{}) error
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// }
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//
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// Here is an example of a function using a Logger to create log events.
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//
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// func RunTask(task Task, logger log.Logger) string {
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// logger.Log("taskID", task.ID, "event", "starting task")
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// ...
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// logger.Log("taskID", task.ID, "event", "task complete")
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// }
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//
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// The keys in the above example are "taskID" and "event". The values are
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// task.ID, "starting task", and "task complete". Every key is followed
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// immediately by its value.
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//
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// Keys are usually plain strings. Values may be any type that has a sensible
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// encoding in the chosen log format. With structured logging it is a good
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// idea to log simple values without formatting them. This practice allows
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// the chosen logger to encode values in the most appropriate way.
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//
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// Log Context
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//
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// A log context stores keyvals that it includes in all log events. Building
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// appropriate log contexts reduces repetition and aids consistency in the
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// resulting log output. We can use a context to improve the RunTask example.
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//
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// func RunTask(task Task, logger log.Logger) string {
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// logger = log.NewContext(logger).With("taskID", task.ID)
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// logger.Log("event", "starting task")
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// ...
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// taskHelper(task.Cmd, logger)
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// ...
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// logger.Log("event", "task complete")
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// }
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//
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// The improved version emits the same log events as the original for the
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// first and last calls to Log. The call to taskHelper highlights that a
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// context may be passed as a logger to other functions. Each log event
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// created by the called function will include the task.ID even though the
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// function does not have access to that value. Using log contexts this way
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// simplifies producing log output that enables tracing the life cycle of
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// individual tasks. (See the Context example for the full code of the
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// above snippet.)
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//
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// Dynamic Context Values
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//
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// A Valuer function stored in a log context generates a new value each time
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// the context logs an event. The Valuer example demonstrates how this
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// feature works.
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//
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// Valuers provide the basis for consistently logging timestamps and source
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// code location. The log package defines several valuers for that purpose.
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// See Timestamp, DefaultTimestamp, DefaultTimestampUTC, Caller, and
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// DefaultCaller. A common logger initialization sequence that ensures all log
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// entries contain a timestamp and source location looks like this:
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//
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// logger := log.NewLogfmtLogger(log.NewSyncWriter(os.Stdout))
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// logger = log.NewContext(logger).With("ts", log.DefaultTimestampUTC, "caller", log.DefaultCaller)
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//
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// Concurrent Safety
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//
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// Applications with multiple goroutines want each log event written to the
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// same logger to remain separate from other log events. Package log provides
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// two simple solutions for concurrent safe logging.
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//
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// NewSyncWriter wraps an io.Writer and serializes each call to its Write
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// method. Using a SyncWriter has the benefit that the smallest practical
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// portion of the logging logic is performed within a mutex, but it requires
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// the formatting Logger to make only one call to Write per log event.
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//
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// NewSyncLogger wraps any Logger and serializes each call to its Log method.
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// Using a SyncLogger has the benefit that it guarantees each log event is
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// handled atomically within the wrapped logger, but it typically serializes
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// both the formatting and output logic. Use a SyncLogger if the formatting
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// logger may perform multiple writes per log event.
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package log
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