Logging
Logging in Akka is not tied to a specific logging backend. By default log messages are printed to STDOUT, but you can plug-in a SLF4J logger or your own logger. Logging is performed asynchronously to ensure that logging has minimal performance impact. Logging generally means IO and locks, which can slow down the operations of your code if it was performed synchronously.
How to Log
Create a LoggingAdapter
and use the error
, warning
, info
, or debug
methods,
as illustrated in this example:
import akka.event.Logging
class MyActor extends Actor {
val log = Logging(context.system, this)
override def preStart() = {
log.debug("Starting")
}
override def preRestart(reason: Throwable, message: Option[Any]) {
log.error(reason, "Restarting due to [{}] when processing [{}]",
reason.getMessage, message.getOrElse(""))
}
def receive = {
case "test" => log.info("Received test")
case x => log.warning("Received unknown message: {}", x)
}
}
For convenience you can mixin the log
member into actors, instead of defining it as above.
class MyActor extends Actor with akka.actor.ActorLogging {
...
}
The second parameter to the Logging
is the source of this logging channel.
The source object is translated to a String according to the following rules:
- if it is an Actor or ActorRef, its path is used
- in case of a String it is used as is
- in case of a class an approximation of its simpleName
- and in all other cases a compile error occurs unless and implicit
LogSource[T]
is in scope for the type in question.
The log message may contain argument placeholders {}
, which will be
substituted if the log level is enabled. Giving more arguments as there are
placeholders results in a warning being appended to the log statement (i.e. on
the same line with the same severity). You may pass a Java array as the only
substitution argument to have its elements be treated individually:
val args = Array("The", "brown", "fox", "jumps", 42)
system.log.debug("five parameters: {}, {}, {}, {}, {}", args)
The Java Class
of the log source is also included in the generated
LogEvent
. In case of a simple string this is replaced with a “marker”
class akka.event.DummyClassForStringSources
in order to allow special
treatment of this case, e.g. in the SLF4J event listener which will then use
the string instead of the class’ name for looking up the logger instance to
use.
Logging of Dead Letters
By default messages sent to dead letters are logged at info level. Existence of dead letters does not necessarily indicate a problem, but it might be, and therefore they are logged by default. After a few messages this logging is turned off, to avoid flooding the logs. You can disable this logging completely or adjust how many dead letters that are logged. During system shutdown it is likely that you see dead letters, since pending messages in the actor mailboxes are sent to dead letters. You can also disable logging of dead letters during shutdown.
akka {
log-dead-letters = 10
log-dead-letters-during-shutdown = on
}
To customize the logging further or take other actions for dead letters you can subscribe to the Event Stream.
Auxiliary logging options
Akka has a couple of configuration options for very low level debugging, that makes most sense in for developers and not for operations.
You almost definitely need to have logging set to DEBUG to use any of the options below:
akka {
loglevel = "DEBUG"
}
This config option is very good if you want to know what config settings are loaded by Akka:
akka {
# Log the complete configuration at INFO level when the actor system is started.
# This is useful when you are uncertain of what configuration is used.
log-config-on-start = on
}
If you want very detailed logging of user-level messages then wrap your actors' behaviors with
akka.event.LoggingReceive
and enable the receive
option:
akka {
actor {
debug {
# enable function of LoggingReceive, which is to log any received message at
# DEBUG level
receive = on
}
}
}
If you want very detailed logging of all automatically received messages that are processed by Actors:
akka {
actor {
debug {
# enable DEBUG logging of all AutoReceiveMessages (Kill, PoisonPill et.c.)
autoreceive = on
}
}
}
If you want very detailed logging of all lifecycle changes of Actors (restarts, deaths etc):
akka {
actor {
debug {
# enable DEBUG logging of actor lifecycle changes
lifecycle = on
}
}
}
If you want unhandled messages logged at DEBUG:
akka {
actor {
debug {
# enable DEBUG logging of unhandled messages
unhandled = on
}
}
}
If you want very detailed logging of all events, transitions and timers of FSM Actors that extend LoggingFSM:
akka {
actor {
debug {
# enable DEBUG logging of all LoggingFSMs for events, transitions and timers
fsm = on
}
}
}
If you want to monitor subscriptions (subscribe/unsubscribe) on the ActorSystem.eventStream:
akka {
actor {
debug {
# enable DEBUG logging of subscription changes on the eventStream
event-stream = on
}
}
}
Auxiliary remote logging options
If you want to see all messages that are sent through remoting at DEBUG log level: (This is logged as they are sent by the transport layer, not by the Actor)
akka {
remote {
# If this is "on", Akka will log all outbound messages at DEBUG level,
# if off then they are not logged
log-sent-messages = on
}
}
If you want to see all messages that are received through remoting at DEBUG log level: (This is logged as they are received by the transport layer, not by any Actor)
akka {
remote {
# If this is "on", Akka will log all inbound messages at DEBUG level,
# if off then they are not logged
log-received-messages = on
}
}
If you want to see message types with payload size in bytes larger than a specified limit at INFO log level:
akka {
remote {
# Logging of message types with payload size in bytes larger than
# this value. Maximum detected size per message type is logged once,
# with an increase threshold of 10%.
# By default this feature is turned off. Activate it by setting the property to
# a value in bytes, such as 1000b. Note that for all messages larger than this
# limit there will be extra performance and scalability cost.
log-frame-size-exceeding = 1000b
}
}
Also see the logging options for TestKit: Tracing Actor Invocations.
Translating Log Source to String and Class
The rules for translating the source object to the source string and class
which are inserted into the LogEvent
during runtime are implemented
using implicit parameters and thus fully customizable: simply create your own
instance of LogSource[T]
and have it in scope when creating the
logger.
import akka.actor.ActorSystem
import akka.event.LogSource
object MyType {
implicit val logSource: LogSource[AnyRef] = new LogSource[AnyRef] {
def genString(o: AnyRef): String = o.getClass.getName
override def getClazz(o: AnyRef): Class[_] = o.getClass
}
}
class MyType(system: ActorSystem) {
import MyType._
import akka.event.Logging
val log = Logging(system, this)
}
This example creates a log source which mimics traditional usage of Java
loggers, which are based upon the originating object’s class name as log
category. The override of getClazz
is only included for demonstration
purposes as it contains exactly the default behavior.
注釈
You may also create the string representation up front and pass that in as
the log source, but be aware that then the Class[_]
which will be
put in the LogEvent
is
akka.event.DummyClassForStringSources
.
The SLF4J event listener treats this case specially (using the actual string to look up the logger instance to use instead of the class’ name), and you might want to do this also in case you implement your own logging adapter.
Turn Off Logging
To turn off logging you can configure the log levels to be OFF
like this.
akka {
stdout-loglevel = "OFF"
loglevel = "OFF"
}
The stdout-loglevel
is only in effect during system startup and shutdown, and setting
it to OFF
as well, ensures that nothing gets logged during system startup or shutdown.
Loggers
Logging is performed asynchronously through an event bus. Log events are processed by an event handler actor and it will receive the log events in the same order as they were emitted.
注釈
The event handler actor does not have a bounded inbox and is run on the default dispatcher. This means that logging extreme amounts of data may affect your application badly. It can be somewhat mitigated by making sure to use an async logging backend though. (See Using the SLF4J API directly)
You can configure which event handlers are created at system start-up and listen to logging events. That is done using the
loggers
element in the 環境設定.
Here you can also define the log level. More fine grained filtering based on the log source
can be implemented in a custom LoggingFilter
, which can be defined in the logging-filter
configuration property.
akka {
# Loggers to register at boot time (akka.event.Logging$DefaultLogger logs
# to STDOUT)
loggers = ["akka.event.Logging$DefaultLogger"]
# Options: OFF, ERROR, WARNING, INFO, DEBUG
loglevel = "DEBUG"
}
The default one logs to STDOUT and is registered by default. It is not intended to be used for production. There is also an SLF4J logger available in the 'akka-slf4j' module.
Example of creating a listener:
import akka.event.Logging.Debug
import akka.event.Logging.Error
import akka.event.Logging.Info
import akka.event.Logging.InitializeLogger
import akka.event.Logging.LoggerInitialized
import akka.event.Logging.Warning
class MyEventListener extends Actor {
def receive = {
case InitializeLogger(_) => sender() ! LoggerInitialized
case Error(cause, logSource, logClass, message) => // ...
case Warning(logSource, logClass, message) => // ...
case Info(logSource, logClass, message) => // ...
case Debug(logSource, logClass, message) => // ...
}
}
Logging to stdout during startup and shutdown
When the actor system is starting up and shutting down the configured loggers
are not used.
Instead log messages are printed to stdout (System.out). The default log level for this
stdout logger is WARNING
and it can be silenced completely by setting
akka.stdout-loglevel=OFF
.
SLF4J
Akka provides a logger for SL4FJ. This module is available in the 'akka-slf4j.jar'. It has one single dependency; the slf4j-api jar. In runtime you also need a SLF4J backend, we recommend Logback:
libraryDependencies += "ch.qos.logback" % "logback-classic" % "1.1.3"
You need to enable the Slf4jLogger in the loggers
element in
the 環境設定. Here you can also define the log level of the event bus.
More fine grained log levels can be defined in the configuration of the SLF4J backend
(e.g. logback.xml). You should also define akka.event.slf4j.Slf4jLoggingFilter
in
the logging-filter
configuration property. It will filter the log events using the backend
configuration (e.g. logback.xml) before they are published to the event bus.
警告
If you set the loglevel
to a higher level than "DEBUG", any DEBUG events will be filtered
out already at the source and will never reach the logging backend, regardless of how the backend
is configured.
akka {
loggers = ["akka.event.slf4j.Slf4jLogger"]
loglevel = "DEBUG"
logging-filter = "akka.event.slf4j.Slf4jLoggingFilter"
}
One gotcha is that the timestamp is attributed in the event handler, not when actually doing the logging.
The SLF4J logger selected for each log event is chosen based on the
Class[_]
of the log source specified when creating the
LoggingAdapter
, unless that was given directly as a string in which
case that string is used (i.e. LoggerFactory.getLogger(c: Class[_])
is used in
the first case and LoggerFactory.getLogger(s: String)
in the second).
注釈
Beware that the actor system’s name is appended to a String
log
source if the LoggingAdapter was created giving an ActorSystem
to
the factory. If this is not intended, give a LoggingBus
instead as
shown below:
val log = Logging(system.eventStream, "my.nice.string")
Using the SLF4J API directly
If you use the SLF4J API directly in your application, remember that the logging operations will block while the underlying infrastructure writes the log statements.
This can be avoided by configuring the logging implementation to use
a non-blocking appender. Logback provides AsyncAppender
that does this. It also contains a feature which will drop INFO
and DEBUG
messages if the logging
load is high.
Logging Thread, Akka Source and Actor System in MDC
Since the logging is done asynchronously the thread in which the logging was performed is captured in
Mapped Diagnostic Context (MDC) with attribute name sourceThread
.
With Logback the thread name is available with %X{sourceThread}
specifier within the pattern layout configuration:
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>%date{ISO8601} %-5level %logger{36} %X{sourceThread} - %msg%n</pattern>
</encoder>
</appender>
注釈
It will probably be a good idea to use the sourceThread
MDC value also in
non-Akka parts of the application in order to have this property consistently
available in the logs.
Another helpful facility is that Akka captures the actor’s address when
instantiating a logger within it, meaning that the full instance identification
is available for associating log messages e.g. with members of a router. This
information is available in the MDC with attribute name akkaSource
:
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>%date{ISO8601} %-5level %logger{36} %X{akkaSource} - %msg%n</pattern>
</encoder>
</appender>
Finally, the actor system in which the logging was performed
is available in the MDC with attribute name sourceActorSystem
:
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>%date{ISO8601} %-5level %logger{36} %X{sourceActorSystem} - %msg%n</pattern>
</encoder>
</appender>
For more details on what this attribute contains—also for non-actors—please see How to Log.
More accurate timestamps for log output in MDC
Akka's logging is asynchronous which means that the timestamp of a log entry is taken from
when the underlying logger implementation is called, which can be surprising at first.
If you want to more accurately output the timestamp, use the MDC attribute akkaTimestamp
:
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>%X{akkaTimestamp} %-5level %logger{36} %X{akkaSource} - %msg%n</pattern>
</encoder>
</appender>
MDC values defined by the application
One useful feature available in Slf4j is MDC,
Akka has a way for let the application specify custom values, you just need to get a
specialized LoggingAdapter
, the DiagnosticLoggingAdapter
. In order to
get it you will use the factory receiving an Actor as logSource:
// Within your Actor
val log: DiagnosticLoggingAdapter = Logging(this);
Once you have the logger, you just need to add the custom values before you log something. This way, the values will be put in the SLF4J MDC right before appending the log and removed after.
注釈
The cleanup (removal) should be done in the actor at the end,
otherwise, next message will log with same mdc values,
if it is not set to a new map. Use log.clearMDC()
.
val mdc = Map("requestId" -> 1234, "visitorId" -> 5678)
log.mdc(mdc)
// Log something
log.info("Starting new request")
log.clearMDC()
For convenience you can mixin the log
member into actors, instead of defining it as above.
This trait also lets you override def mdc(msg: Any): MDC
for specifying MDC values
depending on current message and lets you forget about the cleanup as well, since it already does it for you.
import Logging.MDC
final case class Req(work: String, visitorId: Int)
class MdcActorMixin extends Actor with akka.actor.DiagnosticActorLogging {
var reqId = 0
override def mdc(currentMessage: Any): MDC = {
reqId += 1
val always = Map("requestId" -> reqId)
val perMessage = currentMessage match {
case r: Req => Map("visitorId" -> r.visitorId)
case _ => Map()
}
always ++ perMessage
}
def receive: Receive = {
case r: Req => {
log.info(s"Starting new request: ${r.work}")
}
}
}
Now, the values will be available in the MDC, so you can use them in the layout pattern:
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>
%-5level %logger{36} [req: %X{requestId}, visitor: %X{visitorId}] - %msg%n
</pattern>
</encoder>
</appender>
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