akka { persistence.snapshot-store.plugin = "in-memory-snapshot-store" persistence.journal.plugin = "in-memory-journal" loggers = ["akka.testkit.TestEventListener", "akka.event.slf4j.Slf4jLogger"] actor { serializers { java = "akka.serialization.JavaSerializer" proto = "akka.remote.serialization.ProtobufSerializer" } serialization-bindings { "org.opendaylight.controller.cluster.datastore.modification.MutableCompositeModification" = java "com.google.protobuf.Message" = proto } } } in-memory-journal { class = "org.opendaylight.controller.cluster.datastore.utils.InMemoryJournal" } in-memory-snapshot-store { # Class name of the plugin. class = "org.opendaylight.controller.cluster.datastore.utils.InMemorySnapshotStore" # Dispatcher for the plugin actor. plugin-dispatcher = "akka.persistence.dispatchers.default-plugin-dispatcher" } bounded-mailbox { mailbox-type = "org.opendaylight.controller.cluster.common.actor.MeteredBoundedMailbox" mailbox-capacity = 1000 mailbox-push-timeout-time = 100ms } client-dispatcher { # Dispatcher is the name of the event-based dispatcher type = Dispatcher # What kind of ExecutionService to use executor = "fork-join-executor" # Configuration for the fork join pool fork-join-executor { # Min number of threads to cap factor-based parallelism number to parallelism-min = 2 # Parallelism (threads) ... ceil(available processors * factor) parallelism-factor = 2.0 # Max number of threads to cap factor-based parallelism number to parallelism-max = 10 } # Throughput defines the maximum number of messages to be # processed per actor before the thread jumps to the next actor. # Set to 1 for as fair as possible. throughput = 100 } transaction-dispatcher { # Dispatcher is the name of the event-based dispatcher type = Dispatcher # What kind of ExecutionService to use executor = "fork-join-executor" # Configuration for the fork join pool fork-join-executor { # Min number of threads to cap factor-based parallelism number to parallelism-min = 2 # Parallelism (threads) ... ceil(available processors * factor) parallelism-factor = 2.0 # Max number of threads to cap factor-based parallelism number to parallelism-max = 10 } # Throughput defines the maximum number of messages to be # processed per actor before the thread jumps to the next actor. # Set to 1 for as fair as possible. throughput = 100 } shard-dispatcher { # Dispatcher is the name of the event-based dispatcher type = Dispatcher # What kind of ExecutionService to use executor = "fork-join-executor" # Configuration for the fork join pool fork-join-executor { # Min number of threads to cap factor-based parallelism number to parallelism-min = 2 # Parallelism (threads) ... ceil(available processors * factor) parallelism-factor = 2.0 # Max number of threads to cap factor-based parallelism number to parallelism-max = 10 } # Throughput defines the maximum number of messages to be # processed per actor before the thread jumps to the next actor. # Set to 1 for as fair as possible. throughput = 100 } notification-dispatcher { # Dispatcher is the name of the event-based dispatcher type = Dispatcher # What kind of ExecutionService to use executor = "fork-join-executor" # Configuration for the fork join pool fork-join-executor { # Min number of threads to cap factor-based parallelism number to parallelism-min = 2 # Parallelism (threads) ... ceil(available processors * factor) parallelism-factor = 2.0 # Max number of threads to cap factor-based parallelism number to parallelism-max = 10 } # Throughput defines the maximum number of messages to be # processed per actor before the thread jumps to the next actor. # Set to 1 for as fair as possible. throughput = 100 }