Event-Driven Swift
Decoupling of discrete units of code contributes massively to the long-term maintainability of your project(s). While Observer Pattern is a great way of providing some degree of decoupling by only requiring that Observers conform to a mutually-agreed Interface (Protocol, in Swift), we can go significantly further using an Event-Driven Pattern.
With Event-Driven systems, there is absolutely no direct reference between discrete units of code. Instead, each discrete unit of code emits and listens for Events (as applicable). An Event is simply a structured object containing immutable information. Each unit of code can then operate based on the Event(s) it receives, and perform whatever operation(s) are necessary in the context of that particular unit of code.
Event Driven Swift is an extremely powerful library designed specifically to power your Event-Driven Applications in the Swift language.
Decoupled Topology
Where traditional software design principles would require communicating objects to reference each-other directly, Event-Driven design patterns eliminate the need for this.
Terminology
Understanding the Terminology used in this Library and its supporting examples/documentation will aid you considerably in immediately leveraging these tools to produce extremely powerful, high-performance, entirely-decoupled and easily maintained Event-Driven solutions.
Event
An Event is simply an immutable payload of information that can be used to drive logic and behaviour.
Think of an Event as being akin to an Operation Trigger. In response to receiving an Event of a known Type, a distinct unit of code would perform an appropriate operation based on the information received in that Event's payload.
In EventDrivenSwift
, we would typically define an Event as a struct
conforming to the Eventable
protocol.
Here is a simple example:
struct TemperatureEvent: Eventable {
var temperatureInCelsius: Float
}
Note that the above example, TemperatureEvent
, is the most basic example of an Event possible, in that it only contains one piece of information. In reality, your Events can encapsulate as much information as is logical for a single cohesive operation trigger.
Important Note: An Event should never include any Reference-Type values (such as class
instances). Events need to be immutable, meaning that none of their values can possibly change after they have been Dispatched.
Event Queue
An Event Queue is a sequencial collection (Array
) of Eventable
objects that will automatically be processed whenever the Queue is not empty. Queues are always processed in the order First-in-First-out (or FiFo).
Note that Events dispatched to a Queue will always be processed after Events dispatched to a Stack.
Event Stack
An Event Stack is virtually the same as an Event Queue, except that it is processed in the opposite order: Last-in-First-out (or LiFo)
Note that Events dispatched to a Stack will always be processed before Events dispatched to a Queue.
Event Priority
Events can be dispatched to a Queue or Stack with one of the following Priorities: .highest
will be processed first .high
will be processed second .normal
will be processed third .low
will be processed fourth .lowest
will be processed last
This means that we can enforce some degree of execution order over Events at the point of dispatch.
Dispatch
Dispatch is a term comparable to Broadcast. When we Dispatch an Event, it means that we are sending that information to every EventThread
(see next section) that is listening for that Event type.
Once an Event has been Dispatched, it cannot be cancelled or modified. This is by design. Think of it as saying that "you cannot unsay something once you have said it."
Events can be Dispatched from anywhere in your code, regardless of what Thread is invoking it. In this sense, Events are very much a fire and forget process.
EventThread
An EventThread
is a class
inheriting the base type provided by this library called EventThread
.
Beneath the surface, EventThread
descends from Thread
, and is literally what is known as a Persistent Thread
. This means that the Thread
would typically exist either for a long as your particular application would require it, or even for the entire lifetime of your application.
Unlike most Threads, EventThread
has been built specifically to operate with the lowest possible system resource footprint. When there are no Events waiting to be processed by your EventThread
, the Thread will consume absolutely no CPU time, and effectively no power at all.
Once your EventThread
receives an Event of an Eventable
type to which it has subscribed, it will wake up automatically and process any waiting Events in its respective Queue and Stack.
Note: any number of EventThread
s can receive the same Events. This means that you can process the same Event for any number of purposes, in any number of ways, with any number of outcomes.
Event Handler (or Callback)
When you define your EventThread
descendant, you will implement a function called registerEventListeners
. Within this function (which is invoked automatically every time an Instance of your EventThread
descendant type is initialised) you will register the Eventable
Types to which your EventThread
is interested; and for each of those, define a suitable Handler (or Callback) method to process those Events whenever they occur.
You will see detailed examples of this in the Usage section of this document later, but the key to understand here is that, for each Eventable
type that your EventThread
is interested in processing, you will be able to register your Event Handler for that Event type in a single line of code.
This makes it extremely easy to manage and maintain the Event Subscriptions that each EventThread
has been implemented to process.
Performance-Centric
EventDrivenSwift
is designed specifically to provide the best possible performance balance both at the point of Dispatching an Event, as well as at the point of Processing an Event.
With this in mind, EventDrivenSwift
provides a Central Event Dispatch Handler by default. Whenever you Dispatch an Event through either a Queue or Stack, it will be immediately enqueued within the Central Event Dispatch Handler, where it will subsequently be Dispatched to all registered EventThread
s through its own Thread.
This means that there is a near-zero wait time between instructing an Event to Dispatch, and continuing on in the invoking Thread's execution.
Despite using an intermediary Handler in this manner, the time between Dispatch of an Event and the Processing of that Event by each EventThread
is impressively short! This makes EventDrivenSwift
more than useful for performance-critical applications, including videogames!
Observable
Built on EventDrivenSwift
is built on top of our Observable
library, and EventThread
descends from ObservableThread
, meaning that it supports full Observer Pattern behaviour as well as Event-Driven behaviour.
Put simply: you can Observe EventThread
s anywhere in your code that it is necessary, including from SwiftUI Views.
This means that your application can dynamically update your Views in response to Events being received and processed, making your application truly and fully multi-threaded, without you having to produce code to handle the intra-Thread communication yourself.
ThreadSafeSwift
Built on EventDrivenSwift
is also built on top of our ThreadSafeSwift
library, and every public method and member of every type in EventDrivenSwift
is designed specifically to be Thread-Safe.
It is strongly recommended that your own implementations using EventDrivenSwift
adhere strictly to the best Thread-Safe standards. With that said, unless you are defining a var
or func
that is accessible publicly specifically for the purpose of displaying information on the UI, most back-end implemenations built with a pure Event-Driven methodology will not need to concern themselves too much with Thread-Safety.
Installation
Xcode Projects
Select File
-> Swift Packages
-> Add Package Dependency
and enter https://github.com/Flowduino/EventDrivenSwift.git
Swift Package Manager Projects
You can use EventDrivenSwift
as a Package Dependency in your own Packages' Package.swift
file:
let package = Package(
//...
dependencies: [
.package(
url: "https://github.com/Flowduino/EventDrivenSwift.git",
.upToNextMajor(from: "5.0.0")
),
],
//...
)
From there, refer to EventDrivenSwift
as a "target dependency" in any of your package's targets that need it.
targets: [
.target(
name: "YourLibrary",
dependencies: [
"EventDrivenSwift",
],
//...
),
//...
]
You can then do import EventDrivenSwift
in any code that requires it.
Usage
So, now that we've taken a look at what EventDrivenSwift
is, what it does, and we've covered a lot of the important Terminology, let's take a look at how we can actually use it.
Defining an Event type
You can make virtually any struct
type into an Event type simply by inheriting from Eventable
:
struct TemperatureEvent: Eventable {
var temperatureInCelsius: Float
}
It really is as simple as that!
Dispatching an Event
Now that we have a defined Event type, let's look at how we would Dispatch an Event of this type:
let temperatureEvent = TemperatureEvent(temperatureInCelsius: 23.25)
The above creates an instance of our TemperatureEvent
Event type. If we want to dispatch it via a Queue with the .normal
Priority, we can do so as easily as this:
temperatureEvent.queue()
We can also customise the Priority:
temperatureEvent.queue(priority: .highest)
The above would dispatch the Event via a Stack with the .highest
Priority.
The same works when dispatching via a Stack:
temperatureEvent.stack()
Above would again be with .normal
Priority...
temperatureEvent.stack(priority: .highest)
Above would be with .highest
Priority.
Scheduled Dispatching of an Event
Version 4.2.0 introduced Scheduled Dispatch into the library:
temperatureEvent.scheduleQueue(at: DispatchTime.now() + TimeInterval().advanced(by: 4), priority: .highest)
The above would Dispatch the temperatureEvent
after 4 seconds, via the Queue, with the highest Priority
temperatureEvent.scheduleStack(at: DispatchTime.now() + TimeInterval().advanced(by: 4), priority: .highest)
The above would Dispatch the temperatureEvent
after 4 seconds, via the Stack, with the highest Priority
Scheduled Event Dispatch is a massive advantage when your use-case requires a fixed or calculated time delay between the composition of an Event, and its Dispatch for processing.
EventThread
(Receiving & Processing Events - Method 1) Defining an So, we have an Event type, and we are able to Dispatch it through a Queue or a Stack, with whatever Priority we desire. Now we need a way to Receive our *
TemperatureEvents so that we can do something with them. One way of doing this is to define an
EventThreadto listen for and process our
TemperatureEvent`s.
class TemperatureProcessor: EventThread {
/// Register our Event Listeners for this EventThread
override func registerEventListeners() {
addEventCallback(onTemperatureEvent, forEventType: TemperatureEvent.self)
}
/// Define our Callback Function to process received TemperatureEvent Events
func onTemperatureEvent(_ event: TemperatureEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
}
}
Before we dig into the implementation of onTemperatureEvent
, which can basically do whatever we would want to do with the data provided in the TemperatureEvent
, let's take a moment to understand what is happening in the above code.
Firstly, TemperatureProcessor
inherits from EventThread
, which is where all of the magic happens to receive Events and register our Listeners (or Callbacks or Handlers).
The function registerEventListeners
will be called automatically when an instance of TemperatureProcessor
is created. Within this method, we call addEventCallback
to register onTemperatureEvent
so that it will be invoked every time an Event of type TemperatureEvent
is Dispatched.
Our Callback (or Handler or Listener Event) is called onTemperatureEvent
, which is where we will implement whatever Operation is to be performed against a TemperatureEvent
.
Version 5.0.0 introduces the new parameter, dispatchTime
, which will always provide the DispatchTime
reference at which the Event was Dispatched. You can use this to determine Delta (how much time has passed since the Event was Dispatched), which is particularly useful if you are performing interpolation and/or extrapolation.
Now, let's actually do something with our TemperatureEvent
in the onTemperatureEvent
method.
/// An Enum to map a Temperature value onto a Rating
enum TemperatureRating: String {
case belowFreezing = "Below Freezing"
case freezing = "Freezing"
case reallyCold = "Really Cold"
case cold = "Cold"
case chilly = "Chilly"
case warm = "Warm"
case hot = "Hot"
case reallyHot = "Really Hot"
case boiling = "Boiling"
case aboveBoiling = "Steam"
static func fromTemperature(temperatureInCelsius: Float) -> TemperatureRating {
if temperatureInCelsius < 0 { return .belowFreezing }
else if temperatureInCelsius == 0 { return .freezing }
else if temperatureInCelsius < 5 { return .reallyCold }
else if temperatureInCelsius < 10 { return .cold }
else if temperatureInCelsius < 16 { return .chilly }
else if temperatureInCelsius < 22 { return .warm }
else if temperatureInCelsius < 25 { return .hot }
else if temperatureInCelsius < 100 { return .reallyHot }
else if temperatureInCelsius == 100 { return .boiling }
else { return .aboveBoiling }
}
}
@ThreadSafeSemaphore public var temperatureInCelsius: Float = Float.zero
@ThreadSafeSemaphore public var temperatureRating: TemperatureRating = .freezing
func onTemperatureEvent(_ event: TemperatureEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
temperatureInCelsius = event.temperatureInCelsius
temperatureRating = TemperatureRating.fromTemperature(event.temperatureInCelsius)
}
}
The above code is intended to be illustrative, rather than useful. Our onTemperatureEvent
passes Event's encapsulated temperatureInCelsius
to a public variable (which could then be read by other code as necessary) as part of our EventThread
, and also pre-calculates a TemperatureRating
based on the Temperature value received in the Event.
Ultimately, your code can do whatever you wish with the Event's Payload data!
Playground Code to test everything so far
The only thing you're missing so far is how to create an instance of your EventListner
type. This is in fact remarkably simple. The following can be run in a Playground:
let temperatureProcessor = TemperatureProcessor()
That's all you need to do to create an instance of your TemperatureProcessor
.
Let's add a line to print the inital values of temperatureProcessor
:
print("Temp in C: \(temperatureProcessor.temperatureInCelsius)")
print("Temp Rating: \(temperatureProcessor.temperatureRating)")
We can now dispatch a TemperatureEvent
to be processed by temperatureProcessor
:
TemperatureEvent(temperatureInCelsius: 25.5).queue()
Because Events are processed Asynchronously, and because this is just a Playground test, let's add a 1-second sleep to give TemperatureProcessor
time to receive and process the Event. Note: In reality, this would need less than 1ms to process!
sleep(1)
Now let's print the same values again to see that they have changed:
print("Temp in C: \(temperatureProcessor.temperatureInCelsius)")
print("Temp Rating: \(temperatureProcessor.temperatureRating)")
Now you have a little Playground code to visually confirm that your Events are being processed. You can modify this to see what happens.
EventThread
Observing an Remember, EventThread
s are also Observable, so we can not only receive and operate on Events, we can also notify Observers in response to Events.
Let's take a look at a simple example based on the examples above. We shall begin by defining an Observer Protocol:
protocol TemperatureProcessorObserver: AnyObject {
func onTemperatureEvent(temperatureInCelsius: Float)
}
Now let's modify the onTemperatureEvent
method we implemented in the previous example:
func onTemperatureEvent(_ event: TemperatureEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
temperatureInCelsius = event.temperatureInCelsius
temperatureRating = TemperatureRating.fromTemperature(event.temperatureInCelsius)
/// Notify any Observers...
withObservers { (observer: TemperatureProcessorObserver) in
observer.onTemperatureEvent(temperatureInCelsius: event.temperatureInCelsius)
}
}
Now, every time a TemperatureEvent
is processed by the EventThread
, it will also notify any direct Observers as well.
It should be noted that this functionality serves as a complement to Event-Driven behaviour, as there is no "one size fits all" solution to every requirement in software. It is often neccessary to combine methodologies to achieve the best results.
Reciprocal Events
Typically, systems not only consume information, but also return information (results). This is not only true when it comes to Event-Driven systems, but also trivial to achieve.
Let's expand upon the previous example once more, this time emitting a reciprocal Event to encapsulate the Temperature, as well as the TemperatureRating
we calculated in response to the TemperatureEvent
.
We'll begin by defining the Reciprocal Event type:
enum TemperatureRatingEvent: Eventable {
var temperatureInCelsius: Float
var temperatureRating: TemperatureRating
}
With the Event type defined, we can now once more expand our onTemperatureEvent
to Dispatch our reciprocal TemperatureRatingEvent
:
func onTemperatureEvent(_ event: TemperatureEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
temperatureInCelsius = event.temperatureInCelsius
temperatureRating = TemperatureRating.fromTemperature(event.temperatureInCelsius)
/// Notify any Observers...
withObservers { (observer: TemperatureProcessorObserver) in
observer.onTemperatureEvent(temperatureInCelsius: event.temperatureInCelsius)
}
/// Dispatch our Reciprocal Event...
TemperatureRatingEvent(
temperatureInCelsius = temperatureInCelsius,
temperatureRating = temperatureRating
).queue()
}
As you can see, we can create and Dispatch an Event in a single operation. This is because Events should be considered to be "fire and forget". You need only retain a copy of the Event within the Dispatching Method if you wish to use its values later in the same operation. Otherwise, just create it and Dispatch it together, as shown above.
Now that we've walked through these basic Usage Examples, see if you can produce your own EventThread
to process TemperatureRatingEvent
s. Everything you need to achieve this has already been demonstrated in this document.
UIEventThread
Version 2.0.0 introduced the UIEventThread
base class, which operates exactly the same way as EventThread
, with the notable difference being that your registered Event Callbacks will always be invoked on the MainActor
(or "UI Thread"). You can simply inherit from UIEventThread
instead of EventThread
whenever it is imperative for one or more Event Callbacks to execute on the MainActor
.
EventListener
(Receiving & Processing Events - Method 2) Version 3.0.0 introduced the EventListener
concept to the Library. These are a universally-available means (available in any class
you define) of Receiving Events dispatched from anywhere in your code, and require considerably less code to use.
An EventListener
is a universal way of subscribing to Events, anywhere in your code, without having to define and operate within the constraints of an EventThread
.
By design, EventDrivenSwift
provides a Central Event Listener, which is automatically initialized should any of your code register a Listener for an Event by reference to the Eventable
type.
Important Note: EventListener
will (by default) invoke the associated Callbacks
on the same Thread (or DispatchQueue
) from whence the Listener registered! This is an extremely useful behaviour, because it means that Listeners registered from the MainActor
(or "UI Thread") will always execute on that Thread, with no additional overhead or code required by you.
Let's register a simple Listener in some arbitrary class
. For this example, let's produce a hypothetical View Model that will Listen for TemperatureRatingEvent
, and would invalidate an owning View
to show the newly-received values.
For the sake of this example, let's define this the pure SwiftUI way, without taking advantage of our Observable
library:
class TemperatureRatingViewModel: ObservableObject {
@Published var temperatureInCelsius: Float
@Published var temperatureRating: TemperatureRating
var listenerHandle: EventListenerHandling?
internal func onTemperatureRatingEvent(_ event: TemperatureRatingEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
temperatureInCelsius = event.temperatureInCelsius
temperatureRating = event.temperatureRating
}
init() {
// Let's register our Event Listener Callback!
listenerHandle = TemperatureRatingEvent.addListener(self, onTemperatureRatingEvent)
}
}
It really is that simple!
We can use a direct reference to an Eventable
type, and invoke the addListener
method, automatically bound to all Eventable
types, to register our Listener.
In the above example, whenever the Reciprocal Event named TemperatureRatingEvent
is dispatched, the onTemperatureRatingEvent
method of any TemperatureRatingViewModel
instance(s) will be invoked, in the context of that Event!
Don't worry about managing the lifetime of your Listener! If the object which owns the Listener is destroyed, the Listener will be automatically unregistered for you!
If you need your Event Callback to execute on the Listener's Thread, as of Version 3.1.0... you can!
listenerHandle = TemperatureRatingEvent.addListener(self, onTemperatureRatingEvent, executeOn: .listenerThread)
Remember: When executing an Event Callback on .listenerThread
, you will need to ensure that your Callback and all resources that it uses are 100% Thread-Safe! Important: Executing the Event Callback on .listnerThread
can potentially delay the invocation of other Event Callbacks. Only use this option when it is necessary.
You can also execute your Event Callback on an ad-hoc Task
:
listenerHandle = TemperatureRatingEvent.addListener(self, onTemperatureRatingEvent, executeOn: .taskThread)
Remember: When executing an Event Callback on .taskThread
, you will need to ensure that your Callback and all resources that it uses are 100% Thread-Safe!
Another thing to note about the above example is the listenerHandle
. Whenever you register a Listener, it will return an EventListenerHandling
object. You can use this value to Unregister your Listener at any time:
listenerHandle.remove()
This will remove your Listener Callback, meaning it will no longer be invoked any time a TemperatureRatingEvent
is Dispatched.
Note: This is an improvement for Version 4.1.0, as opposed to the use of an untyped UUID
from previous versions.
EventListener
s are an extremely versatile and very powerful addition to EventDrivenSwift
.
EventListener
with Latest-Only Interest
Version 4.3.0 of this library introduces the concept of Latest-Only Listeners. A Latest-Only Listener is a Listener that will only be invoked for the very latest Event of its requested Event Type. If there are a number of older Events of this type pending in a Queue/Stack, they will simply be skipped over... and only the very Latest will invoke your Listener.
We have made it incredibly simple for you to configure your Listener to be a Latest-Only Listener. Taking the previous code example, we can simply modify it as follows:
class TemperatureRatingViewModel: ObservableObject {
@Published var temperatureInCelsius: Float
@Published var temperatureRating: TemperatureRating
var listenerHandle: EventListenerHandling?
internal func onTemperatureRatingEvent(_ event: TemperatureRatingEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
temperatureInCelsius = event.temperatureInCelsius
temperatureRating = event.temperatureRating
}
init() {
// Let's register our Event Listener Callback!
listenerHandle = TemperatureRatingEvent.addListener(self, onTemperatureRatingEvent, interestedIn: .latestOnly)
}
}
By including the interestedIn
optional parameter when invoking addListener
against any Eventable
type, and passing for this parameter a value of .latestOnly
, we define that this Listener is only interested in the Latest TemperatureRatingEvent
to be Dispatched. Should a number of TemperatureRatingEvent
s build up in the Queue/Stack, the above-defined Listener will simply discard any older Events, and only invoke for the newest.
EventListener
with Maximum Age Interest
Version 5.1.0 of this library introduces the concent of Maximum Age Listeners. A Maximum Age Listener is a Listener that will only be invoked for Events of its registered Event Type that are younger than a defined Maximum Age. Any Event older than the defined Maximum Age will be skipped over, while any Event younger will invoke your Listener.
We have made it simple for you to configure your Listener to define a Maximum Age interest. Taking the previous code example, we can simply modify it as follows:
class TemperatureRatingViewModel: ObservableObject {
@Published var temperatureInCelsius: Float
@Published var temperatureRating: TemperatureRating
var listenerHandle: EventListenerHandling?
internal func onTemperatureRatingEvent(_ event: TemperatureRatingEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
temperatureInCelsius = event.temperatureInCelsius
temperatureRating = event.temperatureRating
}
init() {
// Let's register our Event Listener Callback!
listenerHandle = TemperatureRatingEvent.addListener(self, onTemperatureRatingEvent, interestedIn: .youngerThan, maximumAge: 1 * 1_000_000_000)
}
}
In the above code example, maximumAge
is a value defined in nanoseconds. With that in mind, 1 * 1_000_000_000
would be 1 second. This means that, any TemperatureRatingEvent
older than 1 second would be ignored by the Listener, while any TemperatureRatingEvent
younger than 1 second would invoke the onTemperatureRatingEvent
method.
This functionality is very useful when the context of an Event's usage would have a known, fixed expiry.
EventListener
with Custom Event Filtering Interest
Version 5.2.0 of this library introduces the concept of Custom Event Filtering for Listeners.
Now, when registering a Listener for an Eventable
type, you can specify a customFilter
Callback which, ultimately, returns a Bool
where true
means that the Listener is interested in the Event, and false
means that the Listener is not interested in the Event.
We have made it simple for you to configure a Custom Filter for your Listener. Taking the previous code example, we can simply modify it as follows:
class TemperatureRatingViewModel: ObservableObject {
@Published var temperatureInCelsius: Float
@Published var temperatureRating: TemperatureRating
var listenerHandle: EventListenerHandling?
internal func onTemperatureRatingEvent(_ event: TemperatureRatingEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) {
temperatureInCelsius = event.temperatureInCelsius
temperatureRating = event.temperatureRating
}
internal func onTemperatureRatingEventFilter(_ event: TemperatureRatingEvent, _ priority: EventPriority, _ dispatchTime: DispatchTime) -> Bool {
if event.temperatureInCelsius > 50 { return false } // If the Temperature is above 50 Degrees, this Listener is not interested in it!
return true // If the Temperature is NOT above 50 Degrees, the Listener IS interested in it!
}
init() {
// Let's register our Event Listener Callback!
listenerHandle = TemperatureRatingEvent.addListener(self, onTemperatureRatingEvent, interestedIn: .custom, customFilter: onTemperatureRatingEventFilter)
}
}
The above code will ensure that the onTemperatureRatingEvent
method is only invoked for a TemperatureRatingEvent
where its temperatureInCelsius
is less than or equal to 50 Degrees Celsius. Any TemperatureRatingEvent
with a temperatureInCelsius
greater than 50 will simply be ignored by this Listener.
EventPool
Version 4.0.0 introduces the extremely powerful EventPool
solution, making it possible to create managed groups of EventThread
s, where inbound Events will be directed to the best EventThread
in the EventPool
at any given moment.
EventDrivenSwift
makes it trivial to produce an EventPool
for any given EventThread
type.
To create an EventPool
of our TemperatureProcessor
example from earlier, we can use a single line of code:
var temperatureProcessorPool = EventPool<TemperatureProcessor>(capacity: 5)
The above example will create an EventPool
of TemperatureProcessor
s, with an initial Capacity of 5 instances. This means that your program can concurrently process 5 TemperatureEvent
s. Obviously, for a process so simple and quick to complete as our earlier example, it would not be neccessary to produce an EventPool
, but you can adapt this example for your own, more complex and time-consuming, EventThread
implementations to immediately parallelise them.
EventPool
s enable you to specify the most context-appropriate Balancer on initialization:
var temperatureProcessorPool = EventPool<TemperatureProcessor>(capacity: 5, balancer: EventPoolRoundRobinBalancer())
The above example would use the EventPoolRoundRobinBalancer
implementation, which simply directs each inbound Eventable
to the next EventThread
in the pool, rolling back around to the first after using the final EventThread
in the pool.
There is also another Balancer available in version 4.0.0:
var temperatureProcessorPool = EventPool<TemperatureProcessor>(capacity: 5, balancer: EventPoolLowestLoadBalancer())
The above example would use the EventPoolLowestLoadBalancer
implementation, which simply directs each inbound Eventable
to the EventThread
in the pool with the lowest number of pending Eventable
s in its own Queue and Stack.
NOTE: When no balancer
is declared, EventPool
will use EventPoolRoundRobinBalancer
by default.
Features Coming Soon
EventDrivenSwift
is an evolving and ever-improving Library, so here are lists of the features you can expect in future releases.
Version 5.1.0 (or 6.0.0 if interface-breaking changes are required):
- Event Pool Scalers - Dynamic Scaling for
EventPool
instances will be fully-implemented (for the moment, no automatic Scaling will occur, and you cannot change the scale of an Event Pool once it has been initialised)
License
EventDrivenSwift
is available under the MIT license. See the LICENSE file for more info.
Join us on Discord
If you require additional support, or would like to discuss EventDrivenSwift
, Swift, or any other topics related to Flowduino, you can join us on Discord.