Akka: Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Actors

Akka: Simpler Scalability, Fault-tolerance, Concurrency & Remoting through Actors http://akkasource.org Jonas Bonér Scalable Solutions AB Copyright 2009 - Scalable Solutions AB Wednesday, December 30, 2009

State 2 Wednesday, December 30, 2009

The devil is in the state 3 Wednesday, December 30, 2009

Wrong, let me rephrase 4 Wednesday, December 30, 2009

The devil is in the mutable state 5 Wednesday, December 30, 2009

Deﬁnitions & Philosophy 6 Wednesday, December 30, 2009

What is a Value? A Value is something that does not change Discussion based on http://clojure.org/state by Rich Hickey Wednesday, December 30, 2009

What is an Identity? A stable logical entity associated with a series of different Values over time Wednesday, December 30, 2009

What is State? The Value an entity with a speciﬁc Identity has at a particular point in time Wednesday, December 30, 2009

How do we know if something has State? If a function is invoked with the same arguments at two different points in time and returns different values... ...then it has state Wednesday, December 30, 2009

The Problem The uniﬁcation Of Identity & Value They are not the same Wednesday, December 30, 2009

We need to separate Identity & Value ...add a level of indirection Software Transactional Memory Managed References Message-Passing Concurrency Actors/Active Objects Dataﬂow Concurrency Dataﬂow (Single-Assignment) Variables Wednesday, December 30, 2009

The problems with Shared State Concurrency Wednesday, December 30, 2009

Shared-State Concurrency > Concurrent access to shared, mutable state. > Protect mutable state with locks > The  Java  C#  C/C++  Ruby  Python  etc. Wednesday, December 30, 2009

Shared-State Concurrency is incredibly hard > Inherentlyvery hard to use reliably > Even the experts get it wrong Wednesday, December 30, 2009

Example of Shared-State Concurrency Transfer funds between bank accounts Wednesday, December 30, 2009

Account public class Account {     private int balance;     public void withdraw(int amount) {      balance ‐= amount;    }     public void deposit(int amount) {      balance += amount;    }   }  Not thread-safe Wednesday, December 30, 2009

Let’s make it thread-safe public class Account {     private int balance;     public synchronized void withdraw(int amount) {      balance ‐= amount;    }     public synchronized void deposit(int amount) {      balance += amount;    }   }   Thread-safe right? Wednesday, December 30, 2009

It’s still broken Transfers are not atomic Wednesday, December 30, 2009

Let’s write an atomic transfer method public class Account {   ...     public synchronized void transferTo(       Account to, double amount) {       this.withdraw(amount);         to.deposit(amount);     }       ...   } This will work right? Wednesday, December 30, 2009

Let’s transfer funds Account alice = ...   Account bob = ...      // in one thread   alice.transferTo(bob, 10.0D);      // in another thread   bob.transferTo(alice, 3.0D);  Wednesday, December 30, 2009

Might lead to DEADLOCK Darn, this is really hard!!! Wednesday, December 30, 2009

We need to enforce lock ordering > How? > Javawon’t help us > Need to use code convention (names etc.) > Requires knowledge about the internal state and implementation of Account > …runs counter to the principles of encapsulation in OOP > Opens up a Can of Worms Wednesday, December 30, 2009

The problem with locks Locks do not compose Taking too few locks Taking too many locks Taking the wrong locks Taking locks in the wrong order Error recovery is hard Wednesday, December 30, 2009

It’s just too hard Wednesday, December 30, 2009

Java bet on the wrong horse? Perhaps, but we’re not completely screwed There are alternatives Wednesday, December 30, 2009

We need better and more high-level abstractions Wednesday, December 30, 2009

Alternative Paradigms >Software Transactional Memory (STM) >Message-Passing Concurrency (Actors) >Dataﬂow Concurrency 28 Wednesday, December 30, 2009

Actors Wednesday, December 30, 2009

Actors • Originates in a 1973 paper by Carl Hewitt • Implemented in Erlang, Occam, Oz • Encapsulates state and behavior • Closer to the deﬁnition of OO than classes Wednesday, December 30, 2009

Alan Kay (father of SmallTalk and OOP) “OOP to me means only messaging, local retention and protection and hiding of state-process, and extreme late-binding of all things.” “Actually I made up the term “object-oriented”, and I can tell you I did not have C++ in mind.” Replace C++ with Java or C# Wednesday, December 30, 2009

Actors • Implements Message-Passing Concurrency • Share NOTHING • Isolated lightweight processes • Communicates through messages • Asynchronous and non-blocking Wednesday, December 30, 2009

Actor Model of Concurrency • No shared state … hence, nothing to synchronize. • Each actor has a mailbox (message queue) Wednesday, December 30, 2009

Actor Model of Concurrency • Non-blocking send • Blocking receive • Messages are immutable • Highly performant and scalable • SEDA-style (Staged Event-Driven Architecture) Wednesday, December 30, 2009

Actor Model of Concurrency • Easier to reason about • Raised abstraction level • Easier to avoid –Race conditions –Deadlocks –Starvation –Live locks Wednesday, December 30, 2009

Akka Actors • Asynchronous –Fire-and-forget –Futures (Send Receive Reply Eventually) • Synchronous • Message loop with pattern (message) matching • Erlang-style Wednesday, December 30, 2009

Two different models • Thread-based • Event-based –Very lightweight –Can easily create millions on a single workstation (6.5 million on 4 G RAM) Wednesday, December 30, 2009

Actor libs for the JVM > Akka (Java/Scala) > Kilim (Java) > Jetlang (Java) > Actor’s Guild (Java) > ActorFoundry (Java) > Actorom (Java) > FunctionalJava (Java) > GParallelizer (Groovy) > Fan Actors (Fan) Wednesday, December 30, 2009

Fault tolerance & Scalablility Akka Transactors Supervisor hierarchies STM Distributed Secure Persistent RESTful Comet Wednesday, December 30, 2009

Actors case object Tick class Counter extends Actor {   private var counter = 0   def receive = {     case Tick =>        counter += 1       println(counter)   } } Wednesday, December 30, 2009

Actors anonymous val worker = actor {   case Work(fn) => fn() } Wednesday, December 30, 2009

Actors anonymous val worker = actor {   ... // init } receive {   case Work(fn) => fn() } Wednesday, December 30, 2009

Send: ! // fire‐forget  counter ! Tick  Wednesday, December 30, 2009

Reply class SomeActor extends Actor {   def receive = {     case User(name) =>        // use implicit sender       sender.get ! (“Hi ” + name)   } } Wednesday, December 30, 2009

Reply class SomeActor extends Actor {   def receive = {     case User(name) =>        // use reply       reply(“Hi ” + name)   } } Wednesday, December 30, 2009

Send: !! // uses Future with default timeout val resultOption = actor !! Message val result =    resultOption getOrElse defaultResult // uses Future with explicit timeout (actor !! (Message, 1000)).getOrElse(   throw new Exception(“Timed out”)) Wednesday, December 30, 2009

Reply class SomeActor extends Actor {   def receive = {     case User(name) =>        // use reply       reply(“Hi ” + name)   } } Wednesday, December 30, 2009

Reply class SomeActor extends Actor {   def receive = {     case User(name) =>        // store away the sender future       // to resolve later or        // somewhere else       ... = senderFuture   } } Wednesday, December 30, 2009

Start / Stop actor.start actor.stop spawn(classOf[MyActor]) // callback override def shutdown = {   ... // clean up before shutdown  } Wednesday, December 30, 2009

Active Objects: Java public class Counter {   private int counter = 0;   public void count() {     counter++;     System.out.println(counter);   } } Wednesday, December 30, 2009

Create: POJO Counter counter = (Counter)ActiveObject   .newInstance(Counter.class, 1000); Wednesday, December 30, 2009

Create: Interface & Implementation Counter counter = (Counter)ActiveObject   .newInstance(     Counter.class,      CounterImpl.class,      1000); Wednesday, December 30, 2009

Active Objects class Counter {   private var counter = 0   def count = {     counter += 1     println(counter)   } } Wednesday, December 30, 2009

Create: POSO val counter = ActiveObject.newInstance(     classOf[Counter], 1000) Wednesday, December 30, 2009

Send counter.count Wednesday, December 30, 2009

@oneway class Counter {   private var counter = 0   @oneway def count = {     counter += 1     println(counter)   } } Wednesday, December 30, 2009

Immutable messages // define the case class case class Register(user: User) // create and send a new case class message actor ! Register(user) // tuples actor ! (username, password) // lists actor ! List(“bill”, “bob”, “alice”) Wednesday, December 30, 2009

Actors: conﬁg <akka>   version = "0.6"   <actor>     timeout = 5000     serialize‐messages = off   </actor> </akka> Wednesday, December 30, 2009

Akka Dispatchers Wednesday, December 30, 2009

Dispatchers class Dispatchers {   def newThreadBasedDispatcher(actor: Actor)   def newExecutorBasedEventDrivenDispatcher(name:String)     ... } Wednesday, December 30, 2009

Set dispatcher class MyActor extends Actor {   dispatcher = Dispatchers     .newThreadBasedDispatcher(this)      ... } actor.dispatcher = dispatcher // before started Wednesday, December 30, 2009

EventBasedDispatcher Fluent DSL val dispatcher =   Dispatchers.newExecutorBasedEventDrivenDispatcher         .withNewThreadPoolWithBoundedBlockingQueue(100)     .setCorePoolSize(16)     .setMaxPoolSize(128)     .setKeepAliveTimeInMillis(60000)     .setRejectionPolicy(new CallerRunsPolicy)     .buildThreadPool Wednesday, December 30, 2009

When to use which dispatcher? Wednesday, December 30, 2009

Thread-based actors • One thread per Actor • Good: • Threads (actors) don’t block each other • Good for long-running tasks • Bad: • Poor scalability • Bad for short running tasks • Use for a limited number of Actors • Use for low frequency of messages Wednesday, December 30, 2009

Event-based actors • Backed by thread pool • Lightweight: • Can create millions of Actors • 6.5 million on 4 G RAM • Best scalability and performance • 2 million messages in 8 seconds Wednesday, December 30, 2009

Single threaded event-based actors • Best performance • Millions of Actors • Bad: • one actor can block all other actors • Does not take advantage of multicore Wednesday, December 30, 2009

MessageQueues Unbounded LinkedBlockingQueue Bounded LinkedBlockingQueue Bounded ArrayBlockingQueue Bounded SynchronousQueue Plus different options per queue Wednesday, December 30, 2009

Akka Supervision Wednesday, December 30, 2009

Stolen from Erlang Wednesday, December 30, 2009

9 nines Wednesday, December 30, 2009

Supervisor hierarchies OneForOne Wednesday, December 30, 2009

Supervisor hierarchies AllForOne Wednesday, December 30, 2009

Fault handlers AllForOneStrategy(   maxNrOfRetries,    withinTimeRange) OneForOneStrategy(   maxNrOfRetries,    withinTimeRange) Wednesday, December 30, 2009

Linking link(actor)  unlink(actor)  startLink(actor) spawnLink(classOf[MyActor]) Wednesday, December 30, 2009

trapExit trapExit = List(  classOf[ServiceException],   classOf[PersistenceException]) Wednesday, December 30, 2009

Supervision class Supervisor extends Actor {   trapExit = List(classOf[Throwable])   faultHandler =      Some(OneForOneStrategy(5, 5000))   def receive = {     case Register(actor) =>        link(actor)   } } Wednesday, December 30, 2009

Manage failure class FaultTolerant extends Actor {   ...   override def preRestart(reason: AnyRef) = {     ... // clean up before restart   }   override def postRestart(reason: AnyRef) = {     ... // init after restart   } } Wednesday, December 30, 2009

Declarative conﬁg RestartStrategy(   AllForOne,   // restart policy    10,          // max # of restart retries   5000)        // within time in millis LifeCycle(   // Permanent: always be restarted   // Temporary: restarted if exited through ERR   Permanent)        Wednesday, December 30, 2009

Declarative conﬁg object factory extends SupervisorFactory(   SupervisorConfig(     RestartStrategy(AllForOne, 3, 10000),      Supervise(       actor1,       LifeCycle(Permanent)) ::      Supervise(       actor2,       LifeCycle(Temporary)) ::     Nil)) factory.newSupervisor.start Wednesday, December 30, 2009

ActorRegistry val actors =    ActorRegistry.actorsFor(FQN) val actors =    ActorRegistry.actorsFor(classOf[..]) Wednesday, December 30, 2009

Initialize actor override def init = {   ... // init the actor } init is called on startup Wednesday, December 30, 2009

Akka Remote Actors Wednesday, December 30, 2009

Remote Server // use host & port in config RemoteNode.start RemoteNode.start(classLoader) RemoteNode.start(   "localhost", 9999) RemoteNode.start(   "localhost", 9999, classLoader) Wednesday, December 30, 2009

Remote Server // use host & port in config val server = new RemoteServer server.start("localhost", 9999) Wednesday, December 30, 2009

Remote actors spawnRemote(classOf[MyActor], host, port)  startLinkRemote(actor, host, port) spawnLinkRemote(classOf[MyActor], host, port) Wednesday, December 30, 2009

Remote conﬁg <akka>   <remote>     service = on     hostname = "localhost"     port = 9999     connection‐timeout = 1000   </remote> </akka> Wednesday, December 30, 2009

Akka STM Wednesday, December 30, 2009

Software Transactional Memory (STM) 88 Wednesday, December 30, 2009

What is STM? 89 Wednesday, December 30, 2009

STM: overview > See the memory (heap and stack) as a transactional dataset > Similar to a database  begin  commit  abort/rollback > Transactions are retried automatically upon collision > Rolls back the memory on abort Wednesday, December 30, 2009

STM: overview > Transactions can nest > Transactions compose (yipee!!)    atomic {         ..         atomic {            ..          }      }   Wednesday, December 30, 2009

STM: restrictions >All operations in scope of a transaction:  Need to be idempotent  Can’t have side-effects 92 Wednesday, December 30, 2009

Akka STM is based on the ideas of Clojure STM 93 Wednesday, December 30, 2009

2 things: 1. Managed References 2. Persistent Datastructures 94 Wednesday, December 30, 2009

Managed References Typical OO - Direct • Typical OO: direct Mutable Objects objects references to access to mutable foo :a ? :b ? :c 42 :d ? :e 6 Clojure - and value • Uniﬁes identity Indirect references • Managed Reference: separates Identity & Value • Anything can change at any time • Consistency is a user problem Objects to Immutable • Encapsulation doesn’t solve concurrency:a foo "fred" problems :b "ethel" @foo :c 42 :d 17 :e 6 Copyright Rich Hickey 2009 Wednesday, December 30, 2009 • Separates identity and value

Managed References • Separates Identity from Value - Values are immutable - Identity (Ref) holds Values • Change is a function • Compare-and-swap (CAS) • Abstraction of time • Can only be altered within a transaction Wednesday, December 30, 2009

Managed References val ref = TransactionalState.newRef(   HashTrie[String, User]()) val users = ref.get val newUsers = users + // creates new HashTrie   (“bill” ‐> new User(“bill”, “secret”) ref.swap(newUsers) Wednesday, December 30, 2009

Managed References val usersRef = TransactionalState.newRef(   HashTrie[String, User]()) for (users <‐ usersRef) {   users + (name ‐> user) } val user = for (users <‐ usersRef) yield {   users(name) } Wednesday, December 30, 2009

Managed References for {   users <‐ usersRef   user  <‐ users   roles <‐ rolesRef   role  <‐ roles   if user.hasRole(role) } {   ... // do stuff } Wednesday, December 30, 2009

Managed References convenience classes // wraps a Ref with a HashTrie  val users = TransactionalState.newMap[String, User] // wraps a Ref with a Vector  val users = TransactionalState.newVector[User] Wednesday, December 30, 2009

Persistent datastructures • Immutable • Change is a function • Old version still available after change • Very fast with performance guarantees (near constant time) • Thread safe • Iteration safe Wednesday, December 30, 2009

Bit-partitioned hash trie Bit-partitioned hash tries Copyright Rich Hickey 2009 Wednesday, December 30, 2009

Structural sharing with path copying Approach Path Copying • Programming with values is critical HashMap HashMap int count 16 int count 15 INode root INode root • By eschewing morphing in place, we just need to manage the succession of values (states) of an identity • A timeline coordination problem • Several semantics possible • Managed references • Variable-like cells with coordination semantics Hickey 2009 Copyright Rich Wednesday, December 30, 2009

Persistent datastructures ble HashTrie oordination import se.scalablesolutions.akka.collection._ val hashTrie = new HashTrie[K, V] // API (+ extends Map) def get(key: K): V def +[A >: V](pair: (K, A)): HashTrie[K, A] def ‐(key: K): HashTrie[K, A] def empty[A]: HashTrie[K, A] Wednesday, December 30, 2009

Persistent datastructures ble Vector oordination import se.scalablesolutions.akka.collection._ val vector = new Vector[T] // API (+ extends RandomAccessSeq) def apply(i: Int): T def +[A >: T](obj: A): Vector[A] def pop: HashTrie[K, A] // remove tail def update[A >: T](i: Int, obj: A): Vector[A] Wednesday, December 30, 2009

Akka STM • Transactional Memory - Atomic, Consistent, Isolated (ACI) - MVCC - Rolls back in memory and retries automatically on clash • Works together with Managed References • Map, Vector and Ref abstraction Wednesday, December 30, 2009

STM: declarative API class UserRegistry extends Transactor {      private lazy val storage =      TransactionalState.newMap[String, User]   def receive = {     case NewUser(user) =>       storage + (user.name ‐> user)     ...    } } Wednesday, December 30, 2009

STM: declarative API class UserRegistry extends Actor {   makeTransactionRequired      private lazy val storage =      TransactionalState.newMap[String, User]   def receive = {     case NewUser(user) =>       storage + (user.name ‐> user)     ...    } } Wednesday, December 30, 2009

STM: declarative Java API @transactionrequired class UserRegistry {     } Wednesday, December 30, 2009

STM: high-order fun API import se.scalablesolutions.akka.stm.Transaction._ atomic {   .. // do something within a transaction } atomic(maxNrOfRetries) {   .. // do something within a transaction } atomicReadOnly {   .. // do something within a transaction } Wednesday, December 30, 2009

STM: high-order fun API import se.scalablesolutions.akka.stm.Transaction._ atomically {   .. // try to do something } orElse {   .. // if tx clash; try do do something else } Wednesday, December 30, 2009

STM: monadic API val userStorage =    TransactionalState.newMap[String, User] for (tx <‐ Transaction()) {   userStorage.put(user.name, user) }  Wednesday, December 30, 2009

STM: monadic API val userStorage =    TransactionalState.newMap[String, User] val users = for {   tx <‐ Transaction()   name <‐ userNames   if userStorage.contains(name) } yield userStorage.get(name) // transactional Wednesday, December 30, 2009

STM: conﬁg <akka>   <stm>     service = on     distributed = off   </stm> </akka> Wednesday, December 30, 2009

STM: disable TransactionManagement.disableTransactions Wednesday, December 30, 2009

Akka Serialization Wednesday, December 30, 2009

Serializers ScalaJSON JavaJSON Protobuf SBinary Java Wednesday, December 30, 2009

Serializers Scala 2 JSON & JSON 2 Scala val foo = new Foo val json = Serializer.ScalaJSON.out(foo) val fooCopy =    Serializer.ScalaJSON.in(json).asInstanceOf[Foo] Wednesday, December 30, 2009

Serializers Scala 2 Binary & Binary 2 Scala import sbinary.DefaultProtocol._  val users =     ("user1", "passwd1") ::    ("user2", "passwd2") ::     ("user3", "passwd3") :: Nil val bytes = Serializer.SBinary.out(users) val usersCopy: List[Tuple2[String, String]]] =     Serializer.SBinary.in(bytes) Wednesday, December 30, 2009

Serializers Protobuf val pojo =    ProtobufPOJO.getDefaultInstance.toBuilder   .setId(1)   .setName("protobuf")   .setStatus(true).build val bytes = pojo.toByteArray val pojoCopy = Serializer.Protobuf.in(   bytes, classOf[ProtobufPOJO]) Wednesday, December 30, 2009

Serializable case class MyMessage(   id: String,    value: Tuple2[String, Int])    extends Serializable.ScalaJSON val message = MyMessage("id", ("hello", 34)) val json = message.toJSON Wednesday, December 30, 2009

Akka Persistence Wednesday, December 30, 2009

Persistence • Pluggable storage backend - Cassandra - MongoDB - Redis • Map, Vector and Ref abstraction • MVCC • Works together with STM Wednesday, December 30, 2009

Akka Persistence API // transactional Cassandra‐backed Map  val map = CassandraStorage.newMap // transactional Redis‐backed Vector  val vector = RedisStorage.newVector // transactional Mongo‐backed Ref val ref = MongoStorage.newRef Wednesday, December 30, 2009

Persistence: conﬁg <akka>   <storage>      <cassandra>       hostname = "127.0.0.1"               port = 9160       storage‐format = "protobuf"              consistency‐level = quorum     </cassandra>     <mongodb>       hostname = "127.0.0.1"               port = 27017       dbname = "mydb"     </mongodb>   </storage> </akka> Wednesday, December 30, 2009

Akka’s Cassandra API val sessions = new CassandraSessionPool(     keyspace,     StackPool(SocketProvider(host, port)),     Protocol.Binary,     consistencyLevel) Create a session pool Wednesday, December 30, 2009

Akka Cassandra API // get a column val column = sessions.withSession { session =>    session | (key, new ColumnPath(     columnFamily, superColumn, serializer.out(name)) } val value = if (column.isDefined)    Some(serializer.in(column.get.value, None)) else     None Automatic connection management Wednesday, December 30, 2009

Akka Cassandra API // add a column sessions.withSession { session =>    session ++|      (key,      new ColumnPath(cf, null, serializer.out(name)),     serializer.out(value),     System.currentTimeMillis,     consistencyLevel) } Wednesday, December 30, 2009

Akka REST Wednesday, December 30, 2009

RESTful actors @Path("/count") class Counter extends Actor {   private var counter = 0   @GET @Produces(Array("text/html"))   def count = (this !! Tick)     .getOrElse(<h1>Error in counter</h1>)   def receive = {     case Tick =>        counter += 1       reply(<h1>Tick: {counter}</h1>)     }   }} Wednesday, December 30, 2009

REST: conﬁg <akka>   <rest>     service = on     hostname = “localhost”     port = 9998   </rest> </akka> Wednesday, December 30, 2009

Boot classes class Boot {   object factory extends SupervisorFactory(     SupervisorConfig(       RestartStrategy(OneForOne, 3, 100),       Supervise(         new Counter, LifeCycle(Permanent)) ::       Supervise(         new Chat, LifeCycle(Permanent)) ::       Nil)))   val supervisor = factory.newInstance   supervisor.start } Wednesday, December 30, 2009

Boot conﬁg <akka>   boot = ["sample.rest.Boot",            "sample.comet.Boot"]    ... </akka> Wednesday, December 30, 2009

Akka Comet Wednesday, December 30, 2009

Comet actors • Based on Atmosphere project • Portable • Supports natively: • Tomcat 4, 5, 6 • Jetty 5, 6, 7 • GlassFish 1, 2, 3 • Weblogic 9.x, 10.x • Grizzly 1.9.x • JBossWeb 2.x • Annotation based Wednesday, December 30, 2009

Comet actors @Path("/chat") class Chat extends Actor {   case class Chat(who: String, what: String, message: String)   @Suspend // receiving endpoint   @GET @Produces(Array("text/html"))   def suspend = <!‐‐ suspend ‐‐>   // sending endpoint   @Broadcast(Array(classOf[XSSHtmlFilter], classOf[JsonFilter]))   @Consumes(Array("application/x‐www‐form‐urlencoded"))   @Produces(Array("text/html"))   @POST    def publishMessage(form: MultivaluedMap[String, String]) =     (this !! Chat(form.getFirst("name"), form.getFirst("action"),                form.getFirst("message"))).getOrElse("System error")   def receive = { case Chat(..) => ..} } Wednesday, December 30, 2009

Akka Security Wednesday, December 30, 2009

Security: service class SampleAuthenticationService    extends DigestAuthenticationActor {   // Use an in‐memory nonce‐map as default   override def mkNonceMap = new HashMap[String, Long]   // Change this to whatever you want   override def realm = “sample”   // Username, password and roles for a username   override def userInfo(uname: String): Option[UserInfo] = {     ... // get user with password and roles     Some(UserInfo(uname, password, roles))   } } Wednesday, December 30, 2009

Security: usage class SecuredActor extends Actor {   @RolesAllowed(Array(“admin”))   def resetSystem =      (this !! Reset).getOrElse(       <error>Could not reset system</error>)   def receive = {     case Reset => ...   } } Wednesday, December 30, 2009

Security: conﬁg <akka>   <rest>     service = on     hostname = “localhost”     port = 9998     filters = [“AkkaSecurityFilterFactory”]     authenticator = “SimpleAuthenticationService”   </rest> </akka> Wednesday, December 30, 2009

Akka Lift Wednesday, December 30, 2009

Lift integration class Boot { // Lift’s bootstrap class   def boot {     LiftRules.httpAuthProtectedResource.prepend {       case (ParsePath("akka‐lift" :: Nil, _, _, _)) =>          Full(AuthRole("admin"))     }     LiftRules.authentication = HttpBasicAuthentication("lift") {       case ("guest", "guest", req) => userRoles(AuthRole("admin"))     }     object factory extends SupervisorFactory(       SupervisorConfig(         RestartStrategy(OneForOne, 3, 100),         List(Supervise(new AkkaService, LifeCycle(Permanent))))     factory.newInstance.start   } } Wednesday, December 30, 2009

Lift integration <web‐app>   <servlet>     <servlet‐name>AkkaServlet</servlet‐name>     <servlet‐class>       se.ss.akka.rest.AkkaServlet     </servlet‐class>   </servlet>   <servlet‐mapping>     <servlet‐name>AkkaServlet</servlet‐name>     <url‐pattern>/*</url‐pattern>   </servlet‐mapping> </web‐app> Wednesday, December 30, 2009

Akka HotSwap Wednesday, December 30, 2009

HotSwap actor ! HotSwap(Some({   // new body   case Ping =>      ...    case Pong =>      ...   })) Wednesday, December 30, 2009

Akka AMQP Wednesday, December 30, 2009

AMQP: producer val producer = AMQP.newProducer(   config,    hostname, port,    exchangeName,    serializer,     None, None, // listeners    100) producer ! Message(“Hi there”, routingId)    Wednesday, December 30, 2009

AMQP: consumer val consumer = AMQP.newConsumer(   config, hostname, port, exchangeName,      ExchangeType.Direct, serializer,    None, 100, passive, durable,    Map[String, AnyRef()) consumer ! MessageConsumerListener(    queueName, routingId, actor {     case Message(payload, _, _, _, _) =>         ... // process message     }) Wednesday, December 30, 2009

Akka Kernel Wednesday, December 30, 2009

Start Kernel java ‐jar akka‐0.6.jar    ‐Dakka.config=<path>/akka.conf Or export AKKA_HOME=<path to akka dist> java ‐jar $AKKA_HOME/dist/akka‐0.6.jar Wednesday, December 30, 2009

Akka Deployment Wednesday, December 30, 2009

Akka as a library Using the Actor module Wednesday, December 30, 2009

Akka as a library Add STM module Wednesday, December 30, 2009

Akka as a library Add Persistence module as a Cache Wednesday, December 30, 2009

Akka as a library Add Persistence module as primary SoR Wednesday, December 30, 2009

Akka as a library Add REST and Comet modules Wednesday, December 30, 2009

Akka as stand-alone Kernel Wednesday, December 30, 2009

Logging <log>   console = on   filename = "./logs/akka.log"   roll = "daily"    level = "debug"   syslog_host = ".."   syslog_server_name = ".." </log> Wednesday, December 30, 2009

Monitoring & Management Provisioning and more... Part of commercial license Wednesday, December 30, 2009

Learn more http://akkasource.org Wednesday, December 30, 2009

Professional help Consulting Training Mentoring http://scalablesolutions.se jonas@jonasboner.com Wednesday, December 30, 2009

EOF Wednesday, December 30, 2009

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Akka: Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Actors

by jboner on Dec 29, 2009

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Akka: Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Actors — Presentation Transcript