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####################################
# Akka Actor Reference Config File #
####################################
# This is the reference config file that contains all the default settings.
# Make your edits/overrides in your application.conf.
# Akka version, checked against the runtime version of Akka. Loaded from generated conf file.
include "version"
akka {
# Home directory of Akka, modules in the deploy directory will be loaded
home = ""
# Loggers to register at boot time (akka.event.Logging$DefaultLogger logs
# to STDOUT)
loggers = ["akka.event.Logging$DefaultLogger"]
# Filter of log events that is used by the LoggingAdapter before
# publishing log events to the eventStream. It can perform
# fine grained filtering based on the log source. The default
# implementation filters on the `loglevel`.
# FQCN of the LoggingFilter. The Class of the FQCN must implement
# akka.event.LoggingFilter and have a public constructor with
# (akka.actor.ActorSystem.Settings, akka.event.EventStream) parameters.
logging-filter = "akka.event.DefaultLoggingFilter"
# Specifies the default loggers dispatcher
loggers-dispatcher = "akka.actor.default-dispatcher"
# Loggers are created and registered synchronously during ActorSystem
# start-up, and since they are actors, this timeout is used to bound the
# waiting time
logger-startup-timeout = 5s
# Log level used by the configured loggers (see "loggers") as soon
# as they have been started; before that, see "stdout-loglevel"
# Options: OFF, ERROR, WARNING, INFO, DEBUG
loglevel = "INFO"
# Log level for the very basic logger activated during ActorSystem startup.
# This logger prints the log messages to stdout (System.out).
# Options: OFF, ERROR, WARNING, INFO, DEBUG
stdout-loglevel = "WARNING"
# 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 = off
# Log at info level when messages are sent to dead letters.
# Possible values:
# on: all dead letters are logged
# off: no logging of dead letters
# n: positive integer, number of dead letters that will be logged
log-dead-letters = 10
# Possibility to turn off logging of dead letters while the actor system
# is shutting down. Logging is only done when enabled by 'log-dead-letters'
# setting.
log-dead-letters-during-shutdown = on
# List FQCN of extensions which shall be loaded at actor system startup.
# Library extensions are regular extensions that are loaded at startup and are
# available for third party library authors to enable auto-loading of extensions when
# present on the classpath. This is done by appending entries:
# 'library-extensions += "Extension"' in the library `reference.conf`.
#
# Should not be set by end user applications in 'application.conf', use the extensions property for that
#
library-extensions = ${?akka.library-extensions} ["akka.serialization.SerializationExtension"]
# List FQCN of extensions which shall be loaded at actor system startup.
# Should be on the format: 'extensions = ["foo", "bar"]' etc.
# See the Akka Documentation for more info about Extensions
extensions = []
# Toggles whether threads created by this ActorSystem should be daemons or not
daemonic = off
# JVM shutdown, System.exit(-1), in case of a fatal error,
# such as OutOfMemoryError
jvm-exit-on-fatal-error = on
# Akka installs JVM shutdown hooks by default, e.g. in CoordinatedShutdown and Artery. This property will
# not disable user-provided hooks registered using `CoordinatedShutdown#addCancellableJvmShutdownHook`.
# This property is related to `akka.coordinated-shutdown.run-by-jvm-shutdown-hook` below.
# This property makes it possible to disable all such hooks if the application itself
# or a higher level framework such as Play prefers to install the JVM shutdown hook and
# terminate the ActorSystem itself, with or without using CoordinatedShutdown.
jvm-shutdown-hooks = on
actor {
# Either one of "local", "remote" or "cluster" or the
# FQCN of the ActorRefProvider to be used; the below is the built-in default,
# note that "remote" and "cluster" requires the akka-remote and akka-cluster
# artifacts to be on the classpath.
provider = "local"
# The guardian "/user" will use this class to obtain its supervisorStrategy.
# It needs to be a subclass of akka.actor.SupervisorStrategyConfigurator.
# In addition to the default there is akka.actor.StoppingSupervisorStrategy.
guardian-supervisor-strategy = "akka.actor.DefaultSupervisorStrategy"
# Timeout for ActorSystem.actorOf
creation-timeout = 20s
# Serializes and deserializes (non-primitive) messages to ensure immutability,
# this is only intended for testing.
serialize-messages = off
# Additional serialization bindings which are enabled automatically when allow-java-serialization is disabled.
# settings are provided
java-serialization-disabled-additional-serialization-bindings = {}
# Serializes and deserializes creators (in Props) to ensure that they can be
# sent over the network, this is only intended for testing. Purely local deployments
# as marked with deploy.scope == LocalScope are exempt from verification.
serialize-creators = off
# Timeout for send operations to top-level actors which are in the process
# of being started. This is only relevant if using a bounded mailbox or the
# CallingThreadDispatcher for a top-level actor.
unstarted-push-timeout = 10s
typed {
# Default timeout for typed actor methods with non-void return type
timeout = 5s
}
# Mapping between ´deployment.router' short names to fully qualified class names
router.type-mapping {
from-code = "akka.routing.NoRouter"
round-robin-pool = "akka.routing.RoundRobinPool"
round-robin-group = "akka.routing.RoundRobinGroup"
random-pool = "akka.routing.RandomPool"
random-group = "akka.routing.RandomGroup"
balancing-pool = "akka.routing.BalancingPool"
smallest-mailbox-pool = "akka.routing.SmallestMailboxPool"
broadcast-pool = "akka.routing.BroadcastPool"
broadcast-group = "akka.routing.BroadcastGroup"
scatter-gather-pool = "akka.routing.ScatterGatherFirstCompletedPool"
scatter-gather-group = "akka.routing.ScatterGatherFirstCompletedGroup"
tail-chopping-pool = "akka.routing.TailChoppingPool"
tail-chopping-group = "akka.routing.TailChoppingGroup"
consistent-hashing-pool = "akka.routing.ConsistentHashingPool"
consistent-hashing-group = "akka.routing.ConsistentHashingGroup"
}
deployment {
# deployment id pattern - on the format: /parent/child etc.
default {
# The id of the dispatcher to use for this actor.
# If undefined or empty the dispatcher specified in code
# (Props.withDispatcher) is used, or default-dispatcher if not
# specified at all.
dispatcher = ""
# The id of the mailbox to use for this actor.
# If undefined or empty the default mailbox of the configured dispatcher
# is used or if there is no mailbox configuration the mailbox specified
# in code (Props.withMailbox) is used.
# If there is a mailbox defined in the configured dispatcher then that
# overrides this setting.
mailbox = ""
# routing (load-balance) scheme to use
# - available: "from-code", "round-robin", "random", "smallest-mailbox",
# "scatter-gather", "broadcast"
# - or: Fully qualified class name of the router class.
# The class must extend akka.routing.CustomRouterConfig and
# have a public constructor with com.typesafe.config.Config
# and optional akka.actor.DynamicAccess parameter.
# - default is "from-code";
# Whether or not an actor is transformed to a Router is decided in code
# only (Props.withRouter). The type of router can be overridden in the
# configuration; specifying "from-code" means that the values specified
# in the code shall be used.
# In case of routing, the actors to be routed to can be specified
# in several ways:
# - nr-of-instances: will create that many children
# - routees.paths: will route messages to these paths using ActorSelection,
# i.e. will not create children
# - resizer: dynamically resizable number of routees as specified in
# resizer below
router = "from-code"
# number of children to create in case of a router;
# this setting is ignored if routees.paths is given
nr-of-instances = 1
# within is the timeout used for routers containing future calls
within = 5 seconds
# number of virtual nodes per node for consistent-hashing router
virtual-nodes-factor = 10
tail-chopping-router {
# interval is duration between sending message to next routee
interval = 10 milliseconds
}
routees {
# Alternatively to giving nr-of-instances you can specify the full
# paths of those actors which should be routed to. This setting takes
# precedence over nr-of-instances
paths = []
}
# To use a dedicated dispatcher for the routees of the pool you can
# define the dispatcher configuration inline with the property name
# 'pool-dispatcher' in the deployment section of the router.
# For example:
# pool-dispatcher {
# fork-join-executor.parallelism-min = 5
# fork-join-executor.parallelism-max = 5
# }
# Routers with dynamically resizable number of routees; this feature is
# enabled by including (parts of) this section in the deployment
resizer {
enabled = off
# The fewest number of routees the router should ever have.
lower-bound = 1
# The most number of routees the router should ever have.
# Must be greater than or equal to lower-bound.
upper-bound = 10
# Threshold used to evaluate if a routee is considered to be busy
# (under pressure). Implementation depends on this value (default is 1).
# 0: number of routees currently processing a message.
# 1: number of routees currently processing a message has
# some messages in mailbox.
# > 1: number of routees with at least the configured pressure-threshold
# messages in their mailbox. Note that estimating mailbox size of
# default UnboundedMailbox is O(N) operation.
pressure-threshold = 1
# Percentage to increase capacity whenever all routees are busy.
# For example, 0.2 would increase 20% (rounded up), i.e. if current
# capacity is 6 it will request an increase of 2 more routees.
rampup-rate = 0.2
# Minimum fraction of busy routees before backing off.
# For example, if this is 0.3, then we'll remove some routees only when
# less than 30% of routees are busy, i.e. if current capacity is 10 and
# 3 are busy then the capacity is unchanged, but if 2 or less are busy
# the capacity is decreased.
# Use 0.0 or negative to avoid removal of routees.
backoff-threshold = 0.3
# Fraction of routees to be removed when the resizer reaches the
# backoffThreshold.
# For example, 0.1 would decrease 10% (rounded up), i.e. if current
# capacity is 9 it will request an decrease of 1 routee.
backoff-rate = 0.1
# Number of messages between resize operation.
# Use 1 to resize before each message.
messages-per-resize = 10
}
# Routers with dynamically resizable number of routees based on
# performance metrics.
# This feature is enabled by including (parts of) this section in
# the deployment, cannot be enabled together with default resizer.
optimal-size-exploring-resizer {
enabled = off
# The fewest number of routees the router should ever have.
lower-bound = 1
# The most number of routees the router should ever have.
# Must be greater than or equal to lower-bound.
upper-bound = 10
# probability of doing a ramping down when all routees are busy
# during exploration.
chance-of-ramping-down-when-full = 0.2
# Interval between each resize attempt
action-interval = 5s
# If the routees have not been fully utilized (i.e. all routees busy)
# for such length, the resizer will downsize the pool.
downsize-after-underutilized-for = 72h
# Duration exploration, the ratio between the largest step size and
# current pool size. E.g. if the current pool size is 50, and the
# explore-step-size is 0.1, the maximum pool size change during
# exploration will be +- 5
explore-step-size = 0.1
# Probability of doing an exploration v.s. optmization.
chance-of-exploration = 0.4
# When downsizing after a long streak of underutilization, the resizer
# will downsize the pool to the highest utiliziation multiplied by a
# a downsize ratio. This downsize ratio determines the new pools size
# in comparison to the highest utilization.
# E.g. if the highest utilization is 10, and the down size ratio
# is 0.8, the pool will be downsized to 8
downsize-ratio = 0.8
# When optimizing, the resizer only considers the sizes adjacent to the
# current size. This number indicates how many adjacent sizes to consider.
optimization-range = 16
# The weight of the latest metric over old metrics when collecting
# performance metrics.
# E.g. if the last processing speed is 10 millis per message at pool
# size 5, and if the new processing speed collected is 6 millis per
# message at pool size 5. Given a weight of 0.3, the metrics
# representing pool size 5 will be 6 * 0.3 + 10 * 0.7, i.e. 8.8 millis
# Obviously, this number should be between 0 and 1.
weight-of-latest-metric = 0.5
}
}
"/IO-DNS/inet-address" {
mailbox = "unbounded"
router = "consistent-hashing-pool"
nr-of-instances = 4
}
"/IO-DNS/inet-address/*" {
dispatcher = "akka.actor.default-blocking-io-dispatcher"
}
"/IO-DNS/async-dns" {
mailbox = "unbounded"
router = "round-robin-pool"
nr-of-instances = 1
}
}
default-dispatcher {
# Must be one of the following
# Dispatcher, PinnedDispatcher, or a FQCN to a class inheriting
# MessageDispatcherConfigurator with a public constructor with
# both com.typesafe.config.Config parameter and
# akka.dispatch.DispatcherPrerequisites parameters.
# PinnedDispatcher must be used together with executor=thread-pool-executor.
type = "Dispatcher"
# Which kind of ExecutorService to use for this dispatcher
# Valid options:
# - "default-executor" requires a "default-executor" section
# - "fork-join-executor" requires a "fork-join-executor" section
# - "thread-pool-executor" requires a "thread-pool-executor" section
# - "affinity-pool-executor" requires an "affinity-pool-executor" section
# - A FQCN of a class extending ExecutorServiceConfigurator
executor = "default-executor"
# This will be used if you have set "executor = "default-executor"".
# If an ActorSystem is created with a given ExecutionContext, this
# ExecutionContext will be used as the default executor for all
# dispatchers in the ActorSystem configured with
# executor = "default-executor". Note that "default-executor"
# is the default value for executor, and therefore used if not
# specified otherwise. If no ExecutionContext is given,
# the executor configured in "fallback" will be used.
default-executor {
fallback = "fork-join-executor"
}
# This will be used if you have set "executor = "affinity-pool-executor""
# Underlying thread pool implementation is akka.dispatch.affinity.AffinityPool.
# This executor is classified as "ApiMayChange".
affinity-pool-executor {
# Min number of threads to cap factor-based parallelism number to
parallelism-min = 4
# The parallelism factor is used to determine thread pool size using the
# following formula: ceil(available processors * factor). Resulting size
# is then bounded by the parallelism-min and parallelism-max values.
parallelism-factor = 0.8
# Max number of threads to cap factor-based parallelism number to.
parallelism-max = 64
# Each worker in the pool uses a separate bounded MPSC queue. This value
# indicates the upper bound of the queue. Whenever an attempt to enqueue
# a task is made and the queue does not have capacity to accommodate
# the task, the rejection handler created by the rejection handler specified
# in "rejection-handler" is invoked.
task-queue-size = 512
# FQCN of the Rejection handler used in the pool.
# Must have an empty public constructor and must
# implement akka.actor.affinity.RejectionHandlerFactory.
rejection-handler = "akka.dispatch.affinity.ThrowOnOverflowRejectionHandler"
# Level of CPU time used, on a scale between 1 and 10, during backoff/idle.
# The tradeoff is that to have low latency more CPU time must be used to be
# able to react quickly on incoming messages or send as fast as possible after
# backoff backpressure.
# Level 1 strongly prefer low CPU consumption over low latency.
# Level 10 strongly prefer low latency over low CPU consumption.
idle-cpu-level = 5
# FQCN of the akka.dispatch.affinity.QueueSelectorFactory.
# The Class of the FQCN must have a public constructor with a
# (com.typesafe.config.Config) parameter.
# A QueueSelectorFactory create instances of akka.dispatch.affinity.QueueSelector,
# that is responsible for determining which task queue a Runnable should be enqueued in.
queue-selector = "akka.dispatch.affinity.FairDistributionHashCache"
# When using the "akka.dispatch.affinity.FairDistributionHashCache" queue selector
# internally the AffinityPool uses two methods to determine which task
# queue to allocate a Runnable to:
# - map based - maintains a round robin counter and a map of Runnable
# hashcodes to queues that they have been associated with. This ensures
# maximum fairness in terms of work distribution, meaning that each worker
# will get approximately equal amount of mailboxes to execute. This is suitable
# in cases where we have a small number of actors that will be scheduled on
# the pool and we want to ensure the maximum possible utilization of the
# available threads.
# - hash based - the task - queue in which the runnable should go is determined
# by using an uniformly distributed int to int hash function which uses the
# hash code of the Runnable as an input. This is preferred in situations where we
# have enough number of distinct actors to ensure statistically uniform
# distribution of work across threads or we are ready to sacrifice the
# former for the added benefit of avoiding map look-ups.
fair-work-distribution {
# The value serves as a threshold which determines the point at which the
# pool switches from the first to the second work distribution schemes.
# For example, if the value is set to 128, the pool can observe up to
# 128 unique actors and schedule their mailboxes using the map based
# approach. Once this number is reached the pool switches to hash based
# task distribution mode. If the value is set to 0, the map based
# work distribution approach is disabled and only the hash based is
# used irrespective of the number of unique actors. Valid range is
# 0 to 2048 (inclusive)
threshold = 128
}
}
# This will be used if you have set "executor = "fork-join-executor""
# Underlying thread pool implementation is akka.dispatch.forkjoin.ForkJoinPool
fork-join-executor {
# Min number of threads to cap factor-based parallelism number to
parallelism-min = 8
# The parallelism factor is used to determine thread pool size using the
# following formula: ceil(available processors * factor). Resulting size
# is then bounded by the parallelism-min and parallelism-max values.
parallelism-factor = 3.0
# Max number of threads to cap factor-based parallelism number to
parallelism-max = 64
# Setting to "FIFO" to use queue like peeking mode which "poll" or "LIFO" to use stack
# like peeking mode which "pop".
task-peeking-mode = "FIFO"
}
# This will be used if you have set "executor = "thread-pool-executor""
# Underlying thread pool implementation is java.util.concurrent.ThreadPoolExecutor
thread-pool-executor {
# Keep alive time for threads
keep-alive-time = 60s
# Define a fixed thread pool size with this property. The corePoolSize
# and the maximumPoolSize of the ThreadPoolExecutor will be set to this
# value, if it is defined. Then the other pool-size properties will not
# be used.
#
# Valid values are: `off` or a positive integer.
fixed-pool-size = off
# Min number of threads to cap factor-based corePoolSize number to
core-pool-size-min = 8
# The core-pool-size-factor is used to determine corePoolSize of the
# ThreadPoolExecutor using the following formula:
# ceil(available processors * factor).
# Resulting size is then bounded by the core-pool-size-min and
# core-pool-size-max values.
core-pool-size-factor = 3.0
# Max number of threads to cap factor-based corePoolSize number to
core-pool-size-max = 64
# Minimum number of threads to cap factor-based maximumPoolSize number to
max-pool-size-min = 8
# The max-pool-size-factor is used to determine maximumPoolSize of the
# ThreadPoolExecutor using the following formula:
# ceil(available processors * factor)
# The maximumPoolSize will not be less than corePoolSize.
# It is only used if using a bounded task queue.
max-pool-size-factor = 3.0
# Max number of threads to cap factor-based maximumPoolSize number to
max-pool-size-max = 64
# Specifies the bounded capacity of the task queue (< 1 == unbounded)
task-queue-size = -1
# Specifies which type of task queue will be used, can be "array" or
# "linked" (default)
task-queue-type = "linked"
# Allow core threads to time out
allow-core-timeout = on
}
# How long time the dispatcher will wait for new actors until it shuts down
shutdown-timeout = 1s
# Throughput defines the number of messages that are processed in a batch
# before the thread is returned to the pool. Set to 1 for as fair as possible.
throughput = 5
# Throughput deadline for Dispatcher, set to 0 or negative for no deadline
throughput-deadline-time = 0ms
# For BalancingDispatcher: If the balancing dispatcher should attempt to
# schedule idle actors using the same dispatcher when a message comes in,
# and the dispatchers ExecutorService is not fully busy already.
attempt-teamwork = on
# If this dispatcher requires a specific type of mailbox, specify the
# fully-qualified class name here; the actually created mailbox will
# be a subtype of this type. The empty string signifies no requirement.
mailbox-requirement = ""
}
default-blocking-io-dispatcher {
type = "Dispatcher"
executor = "thread-pool-executor"
throughput = 1
thread-pool-executor {
fixed-pool-size = 16
}
}
default-mailbox {
# FQCN of the MailboxType. The Class of the FQCN must have a public
# constructor with
# (akka.actor.ActorSystem.Settings, com.typesafe.config.Config) parameters.
mailbox-type = "akka.dispatch.UnboundedMailbox"
# If the mailbox is bounded then it uses this setting to determine its
# capacity. The provided value must be positive.
# NOTICE:
# Up to version 2.1 the mailbox type was determined based on this setting;
# this is no longer the case, the type must explicitly be a bounded mailbox.
mailbox-capacity = 1000
# If the mailbox is bounded then this is the timeout for enqueueing
# in case the mailbox is full. Negative values signify infinite
# timeout, which should be avoided as it bears the risk of dead-lock.
mailbox-push-timeout-time = 10s
# For Actor with Stash: The default capacity of the stash.
# If negative (or zero) then an unbounded stash is used (default)
# If positive then a bounded stash is used and the capacity is set using
# the property
stash-capacity = -1
}
mailbox {
# Mapping between message queue semantics and mailbox configurations.
# Used by akka.dispatch.RequiresMessageQueue[T] to enforce different
# mailbox types on actors.
# If your Actor implements RequiresMessageQueue[T], then when you create
# an instance of that actor its mailbox type will be decided by looking
# up a mailbox configuration via T in this mapping
requirements {
"akka.dispatch.UnboundedMessageQueueSemantics" =
akka.actor.mailbox.unbounded-queue-based
"akka.dispatch.BoundedMessageQueueSemantics" =
akka.actor.mailbox.bounded-queue-based
"akka.dispatch.DequeBasedMessageQueueSemantics" =
akka.actor.mailbox.unbounded-deque-based
"akka.dispatch.UnboundedDequeBasedMessageQueueSemantics" =
akka.actor.mailbox.unbounded-deque-based
"akka.dispatch.BoundedDequeBasedMessageQueueSemantics" =
akka.actor.mailbox.bounded-deque-based
"akka.dispatch.MultipleConsumerSemantics" =
akka.actor.mailbox.unbounded-queue-based
"akka.dispatch.ControlAwareMessageQueueSemantics" =
akka.actor.mailbox.unbounded-control-aware-queue-based
"akka.dispatch.UnboundedControlAwareMessageQueueSemantics" =
akka.actor.mailbox.unbounded-control-aware-queue-based
"akka.dispatch.BoundedControlAwareMessageQueueSemantics" =
akka.actor.mailbox.bounded-control-aware-queue-based
"akka.event.LoggerMessageQueueSemantics" =
akka.actor.mailbox.logger-queue
}
unbounded-queue-based {
# FQCN of the MailboxType, The Class of the FQCN must have a public
# constructor with (akka.actor.ActorSystem.Settings,
# com.typesafe.config.Config) parameters.
mailbox-type = "akka.dispatch.UnboundedMailbox"
}
bounded-queue-based {
# FQCN of the MailboxType, The Class of the FQCN must have a public
# constructor with (akka.actor.ActorSystem.Settings,
# com.typesafe.config.Config) parameters.
mailbox-type = "akka.dispatch.BoundedMailbox"
}
unbounded-deque-based {
# FQCN of the MailboxType, The Class of the FQCN must have a public
# constructor with (akka.actor.ActorSystem.Settings,
# com.typesafe.config.Config) parameters.
mailbox-type = "akka.dispatch.UnboundedDequeBasedMailbox"
}
bounded-deque-based {
# FQCN of the MailboxType, The Class of the FQCN must have a public
# constructor with (akka.actor.ActorSystem.Settings,
# com.typesafe.config.Config) parameters.
mailbox-type = "akka.dispatch.BoundedDequeBasedMailbox"
}
unbounded-control-aware-queue-based {
# FQCN of the MailboxType, The Class of the FQCN must have a public
# constructor with (akka.actor.ActorSystem.Settings,
# com.typesafe.config.Config) parameters.
mailbox-type = "akka.dispatch.UnboundedControlAwareMailbox"
}
bounded-control-aware-queue-based {
# FQCN of the MailboxType, The Class of the FQCN must have a public
# constructor with (akka.actor.ActorSystem.Settings,
# com.typesafe.config.Config) parameters.
mailbox-type = "akka.dispatch.BoundedControlAwareMailbox"
}
# The LoggerMailbox will drain all messages in the mailbox
# when the system is shutdown and deliver them to the StandardOutLogger.
# Do not change this unless you know what you are doing.
logger-queue {
mailbox-type = "akka.event.LoggerMailboxType"
}
}
debug {
# enable function of Actor.loggable(), which is to log any received message
# at DEBUG level, see the “Testing Actor Systems” section of the Akka
# Documentation at http://akka.io/docs
receive = off
# enable DEBUG logging of all AutoReceiveMessages (Kill, PoisonPill etc.)
autoreceive = off
# enable DEBUG logging of actor lifecycle changes
lifecycle = off
# enable DEBUG logging of all LoggingFSMs for events, transitions and timers
fsm = off
# enable DEBUG logging of subscription changes on the eventStream
event-stream = off
# enable DEBUG logging of unhandled messages
unhandled = off
# enable WARN logging of misconfigured routers
router-misconfiguration = off
}
# SECURITY BEST-PRACTICE is to disable java serialization for its multiple
# known attack surfaces.
#
# This setting is a short-cut to
# - using DisabledJavaSerializer instead of JavaSerializer
# - enable-additional-serialization-bindings = on
#
# Completely disable the use of `akka.serialization.JavaSerialization` by the
# Akka Serialization extension, instead DisabledJavaSerializer will
# be inserted which will fail explicitly if attempts to use java serialization are made.
#
# The log messages emitted by such serializer SHOULD be treated as potential
# attacks which the serializer prevented, as they MAY indicate an external operator
# attempting to send malicious messages intending to use java serialization as attack vector.
# The attempts are logged with the SECURITY marker.
#
# Please note that this option does not stop you from manually invoking java serialization
#
# The default value for this might be changed to off in future versions of Akka.
allow-java-serialization = on
# Entries for pluggable serializers and their bindings.
serializers {
java = "akka.serialization.JavaSerializer"
bytes = "akka.serialization.ByteArraySerializer"
}
# Class to Serializer binding. You only need to specify the name of an
# interface or abstract base class of the messages. In case of ambiguity it
# is using the most specific configured class, or giving a warning and
# choosing the “first” one.
#
# To disable one of the default serializers, assign its class to "none", like
# "java.io.Serializable" = none
serialization-bindings {
"[B" = bytes
"java.io.Serializable" = java
}
# Additional serialization-bindings that are replacing Java serialization are
# defined in this section for backwards compatibility reasons. They are included
# by default but can be excluded for backwards compatibility with Akka 2.4.x.
# They can be disabled with enable-additional-serialization-bindings=off.
#
# This should only be needed for backwards compatibility reasons.
enable-additional-serialization-bindings = on
# Additional serialization-bindings that are replacing Java serialization are
# defined in this section for backwards compatibility reasons. They are included
# by default but can be excluded for backwards compatibility with Akka 2.4.x.
# They can be disabled with enable-additional-serialization-bindings=off.
additional-serialization-bindings {
}
# Log warnings when the default Java serialization is used to serialize messages.
# The default serializer uses Java serialization which is not very performant and should not
# be used in production environments unless you don't care about performance. In that case
# you can turn this off.
warn-about-java-serializer-usage = on
# To be used with the above warn-about-java-serializer-usage
# When warn-about-java-serializer-usage = on, and this warn-on-no-serialization-verification = off,
# warnings are suppressed for classes extending NoSerializationVerificationNeeded
# to reduce noize.
warn-on-no-serialization-verification = on
# Configuration namespace of serialization identifiers.
# Each serializer implementation must have an entry in the following format:
# `akka.actor.serialization-identifiers."FQCN" = ID`
# where `FQCN` is fully qualified class name of the serializer implementation
# and `ID` is globally unique serializer identifier number.
# Identifier values from 0 to 40 are reserved for Akka internal usage.
serialization-identifiers {
"akka.serialization.JavaSerializer" = 1
"akka.serialization.ByteArraySerializer" = 4
}
# Configuration items which are used by the akka.actor.ActorDSL._ methods
dsl {
# Maximum queue size of the actor created by newInbox(); this protects
# against faulty programs which use select() and consistently miss messages
inbox-size = 1000
# Default timeout to assume for operations like Inbox.receive et al
default-timeout = 5s
}
}
# Used to set the behavior of the scheduler.
# Changing the default values may change the system behavior drastically so make
# sure you know what you're doing! See the Scheduler section of the Akka
# Documentation for more details.
scheduler {
# The LightArrayRevolverScheduler is used as the default scheduler in the
# system. It does not execute the scheduled tasks on exact time, but on every
# tick, it will run everything that is (over)due. You can increase or decrease
# the accuracy of the execution timing by specifying smaller or larger tick
# duration. If you are scheduling a lot of tasks you should consider increasing
# the ticks per wheel.
# Note that it might take up to 1 tick to stop the Timer, so setting the
# tick-duration to a high value will make shutting down the actor system
# take longer.
tick-duration = 10ms
# The timer uses a circular wheel of buckets to store the timer tasks.
# This should be set such that the majority of scheduled timeouts (for high
# scheduling frequency) will be shorter than one rotation of the wheel
# (ticks-per-wheel * ticks-duration)
# THIS MUST BE A POWER OF TWO!
ticks-per-wheel = 512
# This setting selects the timer implementation which shall be loaded at
# system start-up.
# The class given here must implement the akka.actor.Scheduler interface
# and offer a public constructor which takes three arguments:
# 1) com.typesafe.config.Config
# 2) akka.event.LoggingAdapter
# 3) java.util.concurrent.ThreadFactory
implementation = akka.actor.LightArrayRevolverScheduler
# When shutting down the scheduler, there will typically be a thread which
# needs to be stopped, and this timeout determines how long to wait for
# that to happen. In case of timeout the shutdown of the actor system will
# proceed without running possibly still enqueued tasks.
shutdown-timeout = 5s
}
io {
# By default the select loops run on dedicated threads, hence using a
# PinnedDispatcher
pinned-dispatcher {
type = "PinnedDispatcher"
executor = "thread-pool-executor"
thread-pool-executor.allow-core-timeout = off
}
tcp {
# The number of selectors to stripe the served channels over; each of
# these will use one select loop on the selector-dispatcher.
nr-of-selectors = 1
# Maximum number of open channels supported by this TCP module; there is
# no intrinsic general limit, this setting is meant to enable DoS
# protection by limiting the number of concurrently connected clients.
# Also note that this is a "soft" limit; in certain cases the implementation
# will accept a few connections more or a few less than the number configured
# here. Must be an integer > 0 or "unlimited".
max-channels = 256000
# When trying to assign a new connection to a selector and the chosen
# selector is at full capacity, retry selector choosing and assignment
# this many times before giving up
selector-association-retries = 10
# The maximum number of connection that are accepted in one go,
# higher numbers decrease latency, lower numbers increase fairness on
# the worker-dispatcher
batch-accept-limit = 10
# The number of bytes per direct buffer in the pool used to read or write
# network data from the kernel.
direct-buffer-size = 128 KiB
# The maximal number of direct buffers kept in the direct buffer pool for
# reuse.
direct-buffer-pool-limit = 1000
# The duration a connection actor waits for a `Register` message from
# its commander before aborting the connection.
register-timeout = 5s
# The maximum number of bytes delivered by a `Received` message. Before
# more data is read from the network the connection actor will try to
# do other work.
# The purpose of this setting is to impose a smaller limit than the
# configured receive buffer size. When using value 'unlimited' it will
# try to read all from the receive buffer.
max-received-message-size = unlimited
# Enable fine grained logging of what goes on inside the implementation.
# Be aware that this may log more than once per message sent to the actors
# of the tcp implementation.
trace-logging = off
# Fully qualified config path which holds the dispatcher configuration
# to be used for running the select() calls in the selectors
selector-dispatcher = "akka.io.pinned-dispatcher"
# Fully qualified config path which holds the dispatcher configuration
# for the read/write worker actors
worker-dispatcher = "akka.actor.default-dispatcher"
# Fully qualified config path which holds the dispatcher configuration
# for the selector management actors
management-dispatcher = "akka.actor.default-dispatcher"
# Fully qualified config path which holds the dispatcher configuration
# on which file IO tasks are scheduled
file-io-dispatcher = "akka.actor.default-blocking-io-dispatcher"
# The maximum number of bytes (or "unlimited") to transfer in one batch
# when using `WriteFile` command which uses `FileChannel.transferTo` to
# pipe files to a TCP socket. On some OS like Linux `FileChannel.transferTo`
# may block for a long time when network IO is faster than file IO.
# Decreasing the value may improve fairness while increasing may improve
# throughput.
file-io-transferTo-limit = 512 KiB
# The number of times to retry the `finishConnect` call after being notified about
# OP_CONNECT. Retries are needed if the OP_CONNECT notification doesn't imply that
# `finishConnect` will succeed, which is the case on Android.
finish-connect-retries = 5
# On Windows connection aborts are not reliably detected unless an OP_READ is
# registered on the selector _after_ the connection has been reset. This
# workaround enables an OP_CONNECT which forces the abort to be visible on Windows.
# Enabling this setting on other platforms than Windows will cause various failures
# and undefined behavior.
# Possible values of this key are on, off and auto where auto will enable the
# workaround if Windows is detected automatically.
windows-connection-abort-workaround-enabled = off
}
udp {
# The number of selectors to stripe the served channels over; each of
# these will use one select loop on the selector-dispatcher.
nr-of-selectors = 1
# Maximum number of open channels supported by this UDP module Generally
# UDP does not require a large number of channels, therefore it is
# recommended to keep this setting low.
max-channels = 4096
# The select loop can be used in two modes:
# - setting "infinite" will select without a timeout, hogging a thread
# - setting a positive timeout will do a bounded select call,
# enabling sharing of a single thread between multiple selectors
# (in this case you will have to use a different configuration for the
# selector-dispatcher, e.g. using "type=Dispatcher" with size 1)
# - setting it to zero means polling, i.e. calling selectNow()
select-timeout = infinite
# When trying to assign a new connection to a selector and the chosen
# selector is at full capacity, retry selector choosing and assignment
# this many times before giving up
selector-association-retries = 10
# The maximum number of datagrams that are read in one go,
# higher numbers decrease latency, lower numbers increase fairness on
# the worker-dispatcher
receive-throughput = 3
# The number of bytes per direct buffer in the pool used to read or write
# network data from the kernel.
direct-buffer-size = 128 KiB
# The maximal number of direct buffers kept in the direct buffer pool for
# reuse.
direct-buffer-pool-limit = 1000
# Enable fine grained logging of what goes on inside the implementation.
# Be aware that this may log more than once per message sent to the actors
# of the tcp implementation.
trace-logging = off
# Fully qualified config path which holds the dispatcher configuration
# to be used for running the select() calls in the selectors
selector-dispatcher = "akka.io.pinned-dispatcher"
# Fully qualified config path which holds the dispatcher configuration
# for the read/write worker actors
worker-dispatcher = "akka.actor.default-dispatcher"
# Fully qualified config path which holds the dispatcher configuration
# for the selector management actors
management-dispatcher = "akka.actor.default-dispatcher"
}
udp-connected {
# The number of selectors to stripe the served channels over; each of
# these will use one select loop on the selector-dispatcher.
nr-of-selectors = 1
# Maximum number of open channels supported by this UDP module Generally
# UDP does not require a large number of channels, therefore it is
# recommended to keep this setting low.
max-channels = 4096
# The select loop can be used in two modes:
# - setting "infinite" will select without a timeout, hogging a thread
# - setting a positive timeout will do a bounded select call,
# enabling sharing of a single thread between multiple selectors
# (in this case you will have to use a different configuration for the
# selector-dispatcher, e.g. using "type=Dispatcher" with size 1)
# - setting it to zero means polling, i.e. calling selectNow()
select-timeout = infinite
# When trying to assign a new connection to a selector and the chosen
# selector is at full capacity, retry selector choosing and assignment
# this many times before giving up
selector-association-retries = 10
# The maximum number of datagrams that are read in one go,
# higher numbers decrease latency, lower numbers increase fairness on
# the worker-dispatcher
receive-throughput = 3
# The number of bytes per direct buffer in the pool used to read or write
# network data from the kernel.
direct-buffer-size = 128 KiB
# The maximal number of direct buffers kept in the direct buffer pool for
# reuse.
direct-buffer-pool-limit = 1000
# Enable fine grained logging of what goes on inside the implementation.
# Be aware that this may log more than once per message sent to the actors
# of the tcp implementation.
trace-logging = off
# Fully qualified config path which holds the dispatcher configuration
# to be used for running the select() calls in the selectors
selector-dispatcher = "akka.io.pinned-dispatcher"
# Fully qualified config path which holds the dispatcher configuration
# for the read/write worker actors
worker-dispatcher = "akka.actor.default-dispatcher"
# Fully qualified config path which holds the dispatcher configuration
# for the selector management actors
management-dispatcher = "akka.actor.default-dispatcher"
}
dns {
# Fully qualified config path which holds the dispatcher configuration
# for the manager and resolver router actors.
# For actual router configuration see akka.actor.deployment./IO-DNS/*
dispatcher = "akka.actor.default-dispatcher"
# Name of the subconfig at path akka.io.dns, see inet-address below
#
# Change to `async-dns` to use the new "native" DNS resolver,
# which is also capable of resolving SRV records.
resolver = "inet-address"
# To-be-deprecated DNS resolver implementation which uses the Java InetAddress to resolve DNS records.
# To be replaced by `akka.io.dns.async` which implements the DNS protocol natively and without blocking (which InetAddress does)
inet-address {
# Must implement akka.io.DnsProvider
provider-object = "akka.io.InetAddressDnsProvider"
# To set the time to cache name resolutions
# Possible values:
# default: sun.net.InetAddressCachePolicy.get() and getNegative()
# forever: cache forever
# never: no caching
# n [time unit]: positive timeout with unit, for example "30 s"
positive-ttl = default
negative-ttl = default
# How often to sweep out expired cache entries.
# Note that this interval has nothing to do with TTLs
cache-cleanup-interval = 120s
}
async-dns {
provider-object = "akka.io.dns.internal.AsyncDnsProvider"
# Configures nameservers to query during DNS resolution.
# Defaults to the nameservers that would be used by the JVM by default.
# Set to a list of IPs to override the servers, e.g. [ "8.8.8.8", "8.8.4.4" ] for Google's servers
# If multiple are defined then they are tried in order until one responds
nameservers = default
# The time that a request is allowed to live before being discarded
# given no reply. The lower bound of this should always be the amount
# of time to reasonably expect a DNS server to reply within.
# If multiple name servers are provided then each gets this long to response before trying
# the next one
resolve-timeout = 5s
# How often to sweep out expired cache entries.
# Note that this interval has nothing to do with TTLs
cache-cleanup-interval = 120s
}
}
}
# CoordinatedShutdown is an extension that will perform registered
# tasks in the order that is defined by the phases. It is started
# by calling CoordinatedShutdown(system).run(). This can be triggered
# by different things, for example:
# - JVM shutdown hook will by default run CoordinatedShutdown
# - Cluster node will automatically run CoordinatedShutdown when it
# sees itself as Exiting
# - A management console or other application specific command can
# run CoordinatedShutdown
coordinated-shutdown {
# The timeout that will be used for a phase if not specified with
# 'timeout' in the phase
default-phase-timeout = 5 s
# Terminate the ActorSystem in the last phase actor-system-terminate.
terminate-actor-system = on
# Exit the JVM (System.exit(0)) in the last phase actor-system-terminate
# if this is set to 'on'. It is done after termination of the
# ActorSystem if terminate-actor-system=on, otherwise it is done
# immediately when the last phase is reached.
exit-jvm = off
# Exit status to use on System.exit(int) when 'exit-jvm' is 'on'.
exit-code = 0
# Run the coordinated shutdown when the JVM process exits, e.g.
# via kill SIGTERM signal (SIGINT ctrl-c doesn't work).
# This property is related to `akka.jvm-shutdown-hooks` above.
run-by-jvm-shutdown-hook = on
# When Coordinated Shutdown is triggered an instance of `Reason` is
# required. That value can be used to override the default settings.
# Only 'exit-jvm', 'exit-code' and 'terminate-actor-system' may be
# overridden depending on the reason.
reason-overrides {
# Overrides are applied using the `reason.getClass.getName`. This
# default overrides the `exit-code` when the `Reason` is a cluster
# Downing event (identified by the object
# "akka.actor.CoordinatedShutdown$ClusterDowningReason$").
"akka.actor.CoordinatedShutdown$ClusterDowningReason$" {
exit-code = -1
}
}
#//#coordinated-shutdown-phases
# CoordinatedShutdown is enabled by default and will run the tasks that
# are added to these phases by individual Akka modules and user logic.
#
# The phases are ordered as a DAG by defining the dependencies between the phases
# to make sure shutdown tasks are run in the right order.
#
# In general user tasks belong in the first few phases, but there may be use
# cases where you would want to hook in new phases or register tasks later in
# the DAG.
#
# Each phase is defined as a named config section with the
# following optional properties:
# - timeout=15s: Override the default-phase-timeout for this phase.
# - recover=off: If the phase fails the shutdown is aborted
# and depending phases will not be executed.
# - enabled=off: Skip all tasks registered in this phase. DO NOT use
# this to disable phases unless you are absolutely sure what the
# consequences are. Many of the built in tasks depend on other tasks
# having been executed in earlier phases and may break if those are disabled.
# depends-on=[]: Run the phase after the given phases
phases {
# The first pre-defined phase that applications can add tasks to.
# Note that more phases can be added in the application's
# configuration by overriding this phase with an additional
# depends-on.
before-service-unbind {
}
# Stop accepting new incoming connections.
# This is where you can register tasks that makes a server stop accepting new connections. Already
# established connections should be allowed to continue and complete if possible.
service-unbind {
depends-on = [before-service-unbind]
}
# Wait for requests that are in progress to be completed.
# This is where you register tasks that will wait for already established connections to complete, potentially
# also first telling them that it is time to close down.
service-requests-done {
depends-on = [service-unbind]
}
# Final shutdown of service endpoints.
# This is where you would add tasks that forcefully kill connections that are still around.
service-stop {
depends-on = [service-requests-done]
}
# Phase for custom application tasks that are to be run
# after service shutdown and before cluster shutdown.
before-cluster-shutdown {
depends-on = [service-stop]
}
# Graceful shutdown of the Cluster Sharding regions.
# This phase is not meant for users to add tasks to.
cluster-sharding-shutdown-region {
timeout = 10 s
depends-on = [before-cluster-shutdown]
}
# Emit the leave command for the node that is shutting down.
# This phase is not meant for users to add tasks to.
cluster-leave {
depends-on = [cluster-sharding-shutdown-region]
}
# Shutdown cluster singletons
# This is done as late as possible to allow the shard region shutdown triggered in
# the "cluster-sharding-shutdown-region" phase to complete before the shard coordinator is shut down.
# This phase is not meant for users to add tasks to.
cluster-exiting {
timeout = 10 s
depends-on = [cluster-leave]
}
# Wait until exiting has been completed
# This phase is not meant for users to add tasks to.
cluster-exiting-done {
depends-on = [cluster-exiting]
}
# Shutdown the cluster extension
# This phase is not meant for users to add tasks to.
cluster-shutdown {
depends-on = [cluster-exiting-done]
}
# Phase for custom application tasks that are to be run
# after cluster shutdown and before ActorSystem termination.
before-actor-system-terminate {
depends-on = [cluster-shutdown]
}
# Last phase. See terminate-actor-system and exit-jvm above.
# Don't add phases that depends on this phase because the
# dispatcher and scheduler of the ActorSystem have been shutdown.
# This phase is not meant for users to add tasks to.
actor-system-terminate {
timeout = 10 s
depends-on = [before-actor-system-terminate]
}
}
#//#coordinated-shutdown-phases
}
}