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Apache Apollo is a next-generation, high-performance, multi-protocol messaging agent congenital from the arena up to one day be a drop-in backup of ActiveMQ 5.x. I accept blogged about it in the past. Apollo’s non-blocking, asynchronous architectonics allows it to be cool fast and calibration absolute able-bodied on multi-core systems application a basal cardinal of threads. The accurate protocols accommodate AMQP, STOMP, MQTT, and ActiveMQ’s built-in bifold protocol, Openwire. In this post, we booty a afterpiece attending at the threading archetypal that Apollo is congenital upon: HawtDispatch.

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As Hirampointed out on his blog a brace years ago, convalescent the achievement of ActiveMQ appropriate a abysmal attending at the threading accomplishing and accepted bottlenecks / cilia altercation points. ActiveMQ was advised and implemented (2004?) back blocking IO and multithreaded shared-state systems were able-bodied accepted and understood, but as you try to clasp added and added achievement out of it, the basal limitations alpha to show. Over the added contempo years, it seems like non-blocking techniques (which accept been about for abundant longer, abnormally in Operating System development) and the libraries to abutment those techniques accept started to appear in the Java ecosystem. After abundant research, prototyping, benchmarking, analysis, abrade bathe and repeat, Hiram and the aboriginal Apollo designers acclimatized on a non-blocking, event-based admission pioneered by the engineers at Apple accepted as Grand Central Dispatch. This admission minimized shared-state locking, uses OS assets added calmly (this is huge), provides bigger scalability on big boxes (multi-cores) and is absolute able-bodied ill-fitted for messaging servers.

To the accomplishment comes HawtDispatch with its GCD archetypal right? Well, at the time (2008-2009-ish?) there weren’t absolute abounding options for message-system optimized non-blocking, asynchronous accident processing engines. Grand Central Celerity was absolutely a built-in Mac OS accomplishing (libdispatch) and there wasn’t any application-level equivalent. So the aboriginal Apollo developer(s) set out to body this archetypal befitting in apperception the abutting accord it will accept with the approaching messaging product.

And now we accept it. (It’s been about for a brace years)

And it’s accessible source.

And it has an Apache license!

So what is it?

HawtDispatch accouterments a threading archetypal based on an event-handling bend (actually, assorted event-handling loops… see the area beneath on pooling). An “event” or “task” (which is aloof a runnable in Java-speak) is submitted to a bagman and appointed to run on any of the HawtDispatch accoutrement in the cilia pool. The aforementioned concepts from Grand Central Celerity are acclimated for appointment tasks and active them either in alongside or serially. The abstraction of a “Global Celerity Queue” is acclimated to represent a anatomy to which tasks are submitted and from which tasks are dequeued and run on any of the accessible event-handling threads. The tasks are not affirmed to run in any adjustment as they will be broadcast to any accessible cilia in the basin and will be run in parallel. A “Serial Celerity Queue” is a simple abstracts anatomy that will run its tasks in a FIFO order. If tasks A, B, and C are added to a consecutive queue, A will run first, again B, again C. You can use consecutive queues to assure aggregate accompaniment and accomplish operation acclimation and they’re so failing you can actualize a ample cardinal of them as bare (for example, one per affiliation or one per destination on a bulletin agent ) A consecutive celerity chain will not actualize any added threads, it will run on the accessible HawtDispatch accoutrement in the cilia pool.

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For added capacity about Grand Central Dispatch, see the GCD advertence docs.

In adjustment for this accident processing/task beheading to assignment correctly, none of the tasks are accustomed to block (on IO) or accord on any aggregate accompaniment (using locks). But to do that, you’ll charge to accept accessible a non-blocking IO (NIO) library for that… HawtDispatch has you covered!

NIO through the Java NIO abutment is congenital appropriate into the library and added chiefly appropriate into anniversary one of the HawtDispatch threads. This agency if a accoutrement is not active active tasks, it will be application address selectors and active associated accident handlers.

Adding selectors is cool simple with HawtDispatch’s API:

This adjustment creates a new DispatchSource article that will accept on the defined access for contest that you’re absorbed in. Afore that DispatchSource will alpha administration events, you charge to accord it an accident abettor and alarm resume():

And that’s it! No charge to accord accurately with selectors or ambience up the bend to handle readiness, etc. Aloof a beeline advanced API that fits absolute accurately with the all-embracing HawtDispatch threading model.

In the aforementioned way that you can use the NIO abutment with HawtDispatch, you can actualize your own custom accident sources and associated handlers.One of the keys to this alive calmly is acceptance assorted contest to be accursed and alloyed calm afore absolutely carrying to the accident handler.

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Creating a custom celerity antecedent is simple:

The EventAggregator controls how assorted contest can be alloyed calm afore carrying to the accident handler.

Then you specify an accident abettor and alarm resume() aloof like above:

From aural your accident handler, you can admission the alloyed contest (represented now as a distinct event) with source.getData()

See the HawtDispatch affidavit on Custom Celerity Sources for added information

HawtDispatch will adjudge how abounding accoutrement to use for its basin based on the cardinal of cores you accept accessible on your machine. So if you accept 8 cores, HawtDispatch will actualize and use 8 accoutrement for it’s task-running pool. The absolute active of the accoutrement on anniversary core, or pinning the accoutrement to a core, isn’t configurable through HawtDispatch which is a aberration from the aboriginal libdispatch but the basal attempt still hold. Befitting the cardinal of accoutrement belted to the cardinal of cores allows anniversary amount to break adequately hot with beneath ambience switches and beneath level-1 accumulation misses.

Both Java and Scala are supported. The account of application Scala with HawtDispatch is a acutely bargain boilerplate cipher for appointment runnables. For example, checkout how abundant cipher it takes to assassinate a assignment with Java:

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Now analysis out the Scala code:

Writing closures and inline functions is abundant cleaner in Scala.

This is an alarming feature, and makes it so abundant easier to accord with altered transports aural your own applications. Let’s attending at the TcpTransport as a quick example.

The TcpTransport is amenable for reading/writing from an basal TCP stream. Under the covers it uses HawtDispatches NIO affiliation as able-bodied as the Custom Celerity Sources to acquiesce agreement administration to happen. Anniversary TcpTransport article will accept an associated ProtocolCodec article which is amenable for encoding/decoding the bytes that get beatific over the wire. This is area you charge to plugin your custom wire-implementation (for example, architecture the MQTT/AMQP bifold protocol, or ActiveMQ’s Openwire). An abstruse class, AbstractProtocolCodec already exists to apparatus a lot of the abundant appropriation of encoding/decoding, and all you accept to do is apparatus the encode() and initialDecodeAction() methods.

Using HawtDispatch’s Transport abstractions makes it easier to bound apparatus a wire-level agreement in a non-blocking way.

HawtDispatch is simple, lightweight, and accessible to use. I awful acclaim demography a attending at it abnormally if you’re attractive to body scalable applications application a non-blocking approach.

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