add design docs as background info for IO layer, see #2890
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@ -6,6 +6,7 @@ Information for Developers
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building-akka
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multi-jvm-testing
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io-layer
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developer-guidelines
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documentation
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team
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107
akka-docs/rst/dev/io-layer.rst
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107
akka-docs/rst/dev/io-layer.rst
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.. _io-layer:
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#######################
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Design of the I/O Layer
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#######################
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The ``akka.io`` package has been developed in collaboration between the Akka
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team and Mathias Doenitz & Johannes Rudolph from the `Spray framework`_. It has
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been influenced by the experiences with the ``spray-io`` module and adapted for
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more general consumption as an actor-based service.
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The Underlying Requirements
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===========================
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In order to be suitable as the basic IO layer for Spray’s HTTP handling as well
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as for Akka remoting, the following requirements were driving the design:
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* scalability to millions of concurrent connections
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* lowest possible latency in getting data from the input channel into the
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target actor’s mailbox
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* maximize throughput at the same time
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* optional back-pressure in both directions (i.e. throttling local senders as
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well as allowing local readers to throttle remote senders where the protocol
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allows this)
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* a purely actor-based API with immutable representation of data
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* extensibility for integrating new transports by way of a very lean SPI; the
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goal is to not force I/O mechanisms into a lowest common denominator but
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instead allow completely protocol-specific user-level APIs.
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The Basic Principle
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===================
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Each transport implementation will be a separate Akka extension, offering an
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:class:`ActorRef` representing the main point of entry for client code: this
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manager accepts requests for establishing a communications channel (e.g.
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connect or listen on a TCP socket). Each communications channel is represented
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as one actor which is exposed to the client code for all interaction with this
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channel.
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The core piece of the implementation is the transport-specific “selector” actor;
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in the example of TCP this would wrap a :class:`java.nio.channels.Selector`.
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The channel actors register their interest in readability or writability of the
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underlying channel by sending corresponding messages to their assigned selector
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actor. An important point for achieving low latency is to hand off the actual
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reading and writing to the channel actor, so that the selector actor’s only
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responsibility is the management of the underlying selector’s key set and the
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actual select operation (which is typically blocking).
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The assignment of channels to selectors is done for the lifetime of a channel
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by the manager actor; the natural choice is to have the manager supervise the
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selectors, which in turn supervise their channels. In order to allow the
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manager to make informed decisions, the selectors keep the manager updated
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about their fill level by sending a message every time a channel is terminated.
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Back-pressure for output is enabled by allowing the writer to specify within
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the :class:`Write` messages whether it wants to receive an acknowledgement for
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enqueuing that write to the O/S kernel. Back-pressure for input is propagated
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by back sending a message to the channel actor which will take the underlying
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channel out of the selector until a corresponding resume command is received.
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In the case of transports with flow control—like TCP—the act of not consuming
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data from the stream at the receiving end is propagated back to the sender,
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linking these two mechanisms across the network.
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Benefits Resulting from this Design
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===================================
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Staying within the actor model for the whole implementation allows us to remove
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the need for explicit thread handling logic, and it also means that there are
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no locks involved (besides those which are part of the underlying transport
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library). Writing only actor code results in a cleaner implementation,
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while Akka’s efficient actor messaging does not impose a high tax for this
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benefit. In fact the event-based nature of I/O maps so well to the actor model
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that we expect clear performance and especially scalability benefits over
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traditional solutions with explicit thread management and synchronization.
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Another benefit of supervision hierarchies is that clean-up of resources comes
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naturally: shutting down a selector actor will automatically clean up all
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channel actors, allowing proper closing of the channels and sending the
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appropriate messages to user-level client actors. DeathWatch allow the channel
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actors to notice the demise of their user-level handler actors and terminate in
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an orderly fashion in that case as well; this naturally reduces the chances of
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leaking open channels.
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The choice of using :class:`ActorRef` for exposing all functionality entails
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that these references can be distributed or delegated freely and in general
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handled as the user sees fit, including the use of remoting and life-cycle
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monitoring (just to name two).
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How to go about Adding a New Transport
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======================================
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The best start is to study the TCP reference implementation to get a good grip
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on the basic working principle and then design an implementation which is
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similar in spirit, but adapted to the new protocol in question. There are vast
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differences between I/O mechanisms (e.g. compare file I/O to a message broker)
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and the goal of this I/O layer is explicitly **not** to shoehorn all of them
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into a uniform API, which is why only the basic working principle is documented
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here.
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.. _Spray framework: http://spray.io
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