Documentation ¶
Overview ¶
Package log provides a structured logger.
Deprecated: Use github.com/go-kit/log instead.
Structured logging produces logs easily consumed later by humans or machines. Humans might be interested in debugging errors, or tracing specific requests. Machines might be interested in counting interesting events, or aggregating information for off-line processing. In both cases, it is important that the log messages are structured and actionable. Package log is designed to encourage both of these best practices.
Basic Usage ¶
The fundamental interface is Logger. Loggers create log events from key/value data. The Logger interface has a single method, Log, which accepts a sequence of alternating key/value pairs, which this package names keyvals.
type Logger interface { Log(keyvals ...interface{}) error }
Here is an example of a function using a Logger to create log events.
func RunTask(task Task, logger log.Logger) string { logger.Log("taskID", task.ID, "event", "starting task") ... logger.Log("taskID", task.ID, "event", "task complete") }
The keys in the above example are "taskID" and "event". The values are task.ID, "starting task", and "task complete". Every key is followed immediately by its value.
Keys are usually plain strings. Values may be any type that has a sensible encoding in the chosen log format. With structured logging it is a good idea to log simple values without formatting them. This practice allows the chosen logger to encode values in the most appropriate way.
Contextual Loggers ¶
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, WithPrefix, and WithSuffix add context to a logger. We can use With to improve the RunTask example.
func RunTask(task Task, logger log.Logger) string { logger = log.With(logger, "taskID", task.ID) logger.Log("event", "starting task") ... taskHelper(task.Cmd, logger) ... logger.Log("event", "task complete") }
The improved version emits the same log events as the original for the 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 Contextual Values ¶
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. See Timestamp, DefaultTimestamp, DefaultTimestampUTC, Caller, and DefaultCaller. A common logger initialization sequence that ensures all log entries contain a timestamp and source location looks like this:
logger := log.NewLogfmtLogger(log.NewSyncWriter(os.Stdout)) logger = log.With(logger, "ts", log.DefaultTimestampUTC, "caller", log.DefaultCaller)
Concurrent Safety ¶
Applications with multiple goroutines want each log event written to the same logger to remain separate from other log events. Package log provides two simple solutions for concurrent safe logging.
NewSyncWriter wraps an io.Writer and serializes each call to its Write method. Using a SyncWriter has the benefit that the smallest practical portion of the logging logic is performed within a mutex, but it requires the formatting Logger to make only one call to Write per log event.
NewSyncLogger wraps any Logger and serializes each call to its Log method. Using a SyncLogger has the benefit that it guarantees each log event is 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 })
Example (Basic) ¶
package main import ( "os" "github.com/openmesh/kit/log" ) func main() { logger := log.NewLogfmtLogger(os.Stdout) type Task struct { ID int } RunTask := func(task Task, logger log.Logger) { logger.Log("taskID", task.ID, "event", "starting task") logger.Log("taskID", task.ID, "event", "task complete") } RunTask(Task{ID: 1}, logger) }
Output: taskID=1 event="starting task" taskID=1 event="task complete"
Example (Contextual) ¶
package main import ( "os" "time" "github.com/openmesh/kit/log" ) func main() { logger := log.NewLogfmtLogger(os.Stdout) type Task struct { ID int Cmd string } taskHelper := func(cmd string, logger log.Logger) { // execute(cmd) logger.Log("cmd", cmd, "dur", 42*time.Millisecond) } RunTask := func(task Task, logger log.Logger) { logger = log.With(logger, "taskID", task.ID) logger.Log("event", "starting task") taskHelper(task.Cmd, logger) logger.Log("event", "task complete") } RunTask(Task{ID: 1, Cmd: "echo Hello, world!"}, logger) }
Output: taskID=1 event="starting task" taskID=1 cmd="echo Hello, world!" dur=42ms taskID=1 event="task complete"
Example (DebugInfo) ¶
package main import ( "os" "time" "github.com/openmesh/kit/log" ) func main() { logger := log.NewLogfmtLogger(os.Stdout) // make time predictable for this test baseTime := time.Date(2015, time.February, 3, 10, 0, 0, 0, time.UTC) mockTime := func() time.Time { baseTime = baseTime.Add(time.Second) return baseTime } logger = log.With(logger, "time", log.Timestamp(mockTime), "caller", log.DefaultCaller) logger.Log("call", "first") logger.Log("call", "second") // ... logger.Log("call", "third") }
Output: time=2015-02-03T10:00:01Z caller=example_test.go:93 call=first time=2015-02-03T10:00:02Z caller=example_test.go:94 call=second time=2015-02-03T10:00:03Z caller=example_test.go:98 call=third
Example (SyncWriter) ¶
package main import ( "math/rand" "os" "sync" "time" "github.com/openmesh/kit/log" ) func main() { w := log.NewSyncWriter(os.Stdout) logger := log.NewLogfmtLogger(w) type Task struct { ID int } var wg sync.WaitGroup RunTask := func(task Task, logger log.Logger) { logger.Log("taskID", task.ID, "event", "starting task") time.Sleep(time.Duration(rand.Intn(200)) * time.Millisecond) logger.Log("taskID", task.ID, "event", "task complete") wg.Done() } wg.Add(2) go RunTask(Task{ID: 1}, logger) go RunTask(Task{ID: 2}, logger) wg.Wait() }
Output: taskID=1 event="starting task" taskID=2 event="starting task" taskID=1 event="task complete" taskID=2 event="task complete"
Example (Valuer) ¶
package main import ( "os" "github.com/openmesh/kit/log" ) func main() { logger := log.NewLogfmtLogger(os.Stdout) count := 0 counter := func() interface{} { count++ return count } logger = log.With(logger, "count", log.Valuer(counter)) logger.Log("call", "first") logger.Log("call", "second") }
Output: count=1 call=first count=2 call=second
Index ¶
- Variables
- func NewStdlibAdapter(logger Logger, options ...StdlibAdapterOption) io.Writer
- func NewSyncWriter(w io.Writer) io.Writer
- type Logger
- func NewJSONLogger(w io.Writer) Logger
- func NewLogfmtLogger(w io.Writer) Logger
- func NewNopLogger() Logger
- func NewSyncLogger(logger Logger) Logger
- func With(logger Logger, keyvals ...interface{}) Logger
- func WithPrefix(logger Logger, keyvals ...interface{}) Logger
- func WithSuffix(logger Logger, keyvals ...interface{}) Logger
- type LoggerFunc
- type StdlibAdapter
- type StdlibAdapterOption
- type StdlibWriter
- type SwapLogger
- type Valuer
Examples ¶
Constants ¶
This section is empty.
Variables ¶
var ( // DefaultTimestamp is a Valuer that returns the current wallclock time, // respecting time zones, when bound. DefaultTimestamp = log.DefaultTimestamp // DefaultTimestampUTC is a Valuer that returns the current time in UTC // when bound. DefaultTimestampUTC = log.DefaultTimestampUTC // DefaultCaller is a Valuer that returns the file and line where the Log // method was invoked. It can only be used with log.With. DefaultCaller = log.DefaultCaller )
var ErrMissingValue = log.ErrMissingValue
ErrMissingValue is appended to keyvals slices with odd length to substitute the missing value.
Functions ¶
func NewStdlibAdapter ¶
func NewStdlibAdapter(logger Logger, options ...StdlibAdapterOption) io.Writer
NewStdlibAdapter returns a new StdlibAdapter wrapper around the passed logger. It's designed to be passed to log.SetOutput.
func NewSyncWriter ¶
NewSyncWriter returns a new writer that is safe for concurrent use by multiple goroutines. Writes to the returned writer are passed on to w. If another write is already in progress, the calling goroutine blocks until the writer is available.
If w implements the following interface, so does the returned writer.
interface { Fd() uintptr }
Types ¶
type Logger ¶
Logger is the fundamental interface for all log operations. Log creates a log event from keyvals, a variadic sequence of alternating keys and values. Implementations must be safe for concurrent use by multiple goroutines. In particular, any implementation of Logger that appends to keyvals or modifies or retains any of its elements must make a copy first.
func NewJSONLogger ¶
NewJSONLogger returns a Logger that encodes keyvals to the Writer as a single JSON object. Each log event produces no more than one call to w.Write. The passed Writer must be safe for concurrent use by multiple goroutines if the returned Logger will be used concurrently.
func NewLogfmtLogger ¶
NewLogfmtLogger returns a logger that encodes keyvals to the Writer in logfmt format. Each log event produces no more than one call to w.Write. The passed Writer must be safe for concurrent use by multiple goroutines if the returned Logger will be used concurrently.
func NewNopLogger ¶
func NewNopLogger() Logger
NewNopLogger returns a logger that doesn't do anything.
func NewSyncLogger ¶
NewSyncLogger returns a logger that synchronizes concurrent use of the wrapped logger. When multiple goroutines use the SyncLogger concurrently only one goroutine will be allowed to log to the wrapped logger at a time. The other goroutines will block until the logger is available.
func With ¶
With returns a new contextual logger with keyvals prepended to those passed to calls to Log. If logger is also a contextual logger created by With, WithPrefix, or WithSuffix, keyvals is appended to the existing context.
The returned Logger replaces all value elements (odd indexes) containing a Valuer with their generated value for each call to its Log method.
func WithPrefix ¶
WithPrefix returns a new contextual logger with keyvals prepended to those passed to calls to Log. If logger is also a contextual logger created by With, WithPrefix, or WithSuffix, keyvals is prepended to the existing context.
The returned Logger replaces all value elements (odd indexes) containing a Valuer with their generated value for each call to its Log method.
func WithSuffix ¶
WithSuffix returns a new contextual logger with keyvals appended to those passed to calls to Log. If logger is also a contextual logger created by With, WithPrefix, or WithSuffix, keyvals is appended to the existing context.
The returned Logger replaces all value elements (odd indexes) containing a Valuer with their generated value for each call to its Log method.
type LoggerFunc ¶
type LoggerFunc = log.LoggerFunc
LoggerFunc is an adapter to allow use of ordinary functions as Loggers. If f is a function with the appropriate signature, LoggerFunc(f) is a Logger object that calls f.
type StdlibAdapter ¶
type StdlibAdapter = log.StdlibAdapter
StdlibAdapter wraps a Logger and allows it to be passed to the stdlib logger's SetOutput. It will extract date/timestamps, filenames, and messages, and place them under relevant keys.
type StdlibAdapterOption ¶
type StdlibAdapterOption = log.StdlibAdapterOption
StdlibAdapterOption sets a parameter for the StdlibAdapter.
func FileKey ¶
func FileKey(key string) StdlibAdapterOption
FileKey sets the key for the file and line field. By default, it's "caller".
func MessageKey ¶
func MessageKey(key string) StdlibAdapterOption
MessageKey sets the key for the actual log message. By default, it's "msg".
func Prefix ¶
func Prefix(prefix string, joinPrefixToMsg bool) StdlibAdapterOption
Prefix configures the adapter to parse a prefix from stdlib log events. If you provide a non-empty prefix to the stdlib logger, then your should provide that same prefix to the adapter via this option.
By default, the prefix isn't included in the msg key. Set joinPrefixToMsg to true if you want to include the parsed prefix in the msg.
func TimestampKey ¶
func TimestampKey(key string) StdlibAdapterOption
TimestampKey sets the key for the timestamp field. By default, it's "ts".
type StdlibWriter ¶
type StdlibWriter = log.StdlibWriter
StdlibWriter implements io.Writer by invoking the stdlib log.Print. It's designed to be passed to a Go kit logger as the writer, for cases where it's necessary to redirect all Go kit log output to the stdlib logger.
If you have any choice in the matter, you shouldn't use this. Prefer to redirect the stdlib log to the Go kit logger via NewStdlibAdapter.
type SwapLogger ¶
type SwapLogger = log.SwapLogger
SwapLogger wraps another logger that may be safely replaced while other goroutines use the SwapLogger concurrently. The zero value for a SwapLogger will discard all log events without error.
SwapLogger serves well as a package global logger that can be changed by importers.
type Valuer ¶
A Valuer generates a log value. When passed to With, WithPrefix, or WithSuffix in a value element (odd indexes), it represents a dynamic value which is re-evaluated with each log event.
func Caller ¶
Caller returns a Valuer that returns a file and line from a specified depth in the callstack. Users will probably want to use DefaultCaller.
func Timestamp ¶
Timestamp returns a timestamp Valuer. It invokes the t function to get the time; unless you are doing something tricky, pass time.Now.
Most users will want to use DefaultTimestamp or DefaultTimestampUTC, which are TimestampFormats that use the RFC3339Nano format.
func TimestampFormat ¶
TimestampFormat returns a timestamp Valuer with a custom time format. It invokes the t function to get the time to format; unless you are doing something tricky, pass time.Now. The layout string is passed to Time.Format.
Most users will want to use DefaultTimestamp or DefaultTimestampUTC, which are TimestampFormats that use the RFC3339Nano format.
Source Files ¶
Directories ¶
Path | Synopsis |
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Package levels implements leveled logging on top of Go kit's log package.
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Package levels implements leveled logging on top of Go kit's log package. |
Package level implements leveled logging on top of Go kit's log package.
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Package level implements leveled logging on top of Go kit's log package. |
Package logrus provides an adapter to the openmesh log.Logger interface.
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Package logrus provides an adapter to the openmesh log.Logger interface. |
Deprecated: Use github.com/go-kit/log/syslog instead.
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Deprecated: Use github.com/go-kit/log/syslog instead. |
Package term provides tools for logging to a terminal.
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Package term provides tools for logging to a terminal. |