Hello Readers, CoolMonkTechie heartily welcomes you in this article (Unveiling Android Runtime: A Comprehensive Overview for Developers and Enthusiasts).
In this article, We will learn about Runtime in android. The Android operating system uses the Android Runtime (ART) as its managed runtime environment to run applications. It replaced the Dalvik runtime in Android 5.0 (Lollipop) as the default runtime. ART is responsible for executing and managing Android applications on the device.
A famous quote about learning is :
“In learning you will teach, and in teaching you will learn.”
So Let’s begin.
What is Android Runtime?
” Android Runtime (ART) is the managed runtime environment used by the Android operating system to run applications. It replaced the Dalvik runtime in Android 5.0 (Lollipop) as the default runtime. ART is responsible for executing and managing Android applications on the device.”
ART utilizes an Ahead-of-Time compilation approach, where the app’s bytecode is translated into native machine code during the app installation process. In contrast, the Dalvik runtime employed Just-in-Time (JIT) compilation, interpreting the bytecode at runtime.
When we write our code in Java/Kotlin and build the APK, it gets converted to bytecode. Subsequently, our APK contains .dex files that house this bytecode. However, our Android device cannot run bytecode format directly. Therefore, the translation of the app bytecode into native machine code becomes necessary. This translation process is facilitated by Android Runtime (ART).
Android Runtime Types and Their Evolutions
Android has undergone several changes in its runtime environments over the years. The primary runtimes in Android include Dalvik and Android Runtime (ART). Let’s explore their evolution:
Dalvik Runtime:
Dalvik was the original runtime environment which uses in Android before version 5.0 (Lollipop). It uses Just-in-Time (JIT) Compilation, which translated the application’s bytecode into native machine code at runtime. This allowed for flexibility but sometimes led to increased startup times.
Disadvantage: Increased startup times, Low performance and decreases battery performance.
Android Runtime (ART):
ART replaced Dalvik as the default runtime in Android 5.0 (Lollipop). It uses default runtime (Android 5.0 – Present).
Ahead-of-Time (AOT) Compilation: One significant change in ART is the shift from JIT to Ahead-of-Time (AOT) compilation. The app’s bytecode converts into native machine code during the app installation process, reducing runtime overhead and improving overall performance.
Improved Performance: AOT compilation contributes to faster app startup times and more efficient execution.
Compact Dalvik:
Compact Dalvik introduced in Android 4.4 (KitKat) as an intermediate step before transitioning to ART.
Performance Improvements: While still using JIT compilation, Compact Dalvik included optimizations to improve app performance compared to earlier versions.
Project Mainline (Android 10 and Later):
Starting with Android 10, Project Mainline introduced a modular approach to system updates, enabling the Google Play Store to update core parts of the Android runtime independently of full system updates
Security and Update Flexibility: Mainline improves the security and flexibility of Android updates. It enables more frequent updates for critical runtime components.
ART Compiler (Android 7.0 – Nougat):
Android 7.0 (Nougat) introduced significant changes to the ART compiler, including the introduction of the Just-In-Time (JIT) compiler alongside the existing Ahead-of-Time (AOT) compiler.
Mixed Compilation: The mixed compilation approach employed both Ahead-of-Time (AOT) and Just-In-Time (JIT) compilation to enhance performance. The system compiled frequently executed code ahead of time, and it compiled less frequently used code at runtime for adaptability.
Project Treble (Android 8.0 – Oreo):
While not directly a runtime, Project Treble, introduced in Android Oreo, rearchitected the Android OS to separate the vendor implementation from the Android framework. This separation aimed to streamline the update process for Android devices.
Android Runtime (ART) Optimizations:
Ongoing: With each new Android version, ART continues to receive optimizations and improvements to enhance the performance and resource efficiency of Android applications.
ART in Android 12:
Ongoing Evolution: Android 12 and subsequent versions continue to refine ART with optimizations, security enhancements, and improvements in resource management.
Dalvik vs ART
Dalvik
ART
JIT (Just In Time) based Compilation
AOT (Ahead-of-Time) based Compilation
Low performance
High performance
More startup time
Less startup time
Less install time
More install time
Less space on the disk
More space on the disk
Less boot time
More boot time
Decreases battery performance
Increases battery performance
Does not have a better Garbage collection as compared to ART
Better Garbage collection than Dalvik
Comparision between Dalvik and ART
That’s all about in this article.
Conclusion
In this article, we learned about Android Runtime (ART). Understanding the evolution of Android runtimes is crucial for developers to adapt their applications to leverage new features, performance improvements, and security enhancements introduced in each version.Developers should also consider the compatibility of their apps with different runtime environments across various Android versions. We also discussed the different comparison between Dalvik and ART in Android.
Thanks for reading ! I hope you enjoyed and learned about Activity Lifecycle Concept in Android. Reading is one thing, but the only way to master it is to do it yourself.
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Hello Readers, CoolMonkTechie heartily welcomes you in A Short Note Series (Service vs IntentService In Android).
In this note series, we will understand the differences between the Service and IntentService in Android.
So Let’s begin.
Service
Service is an android component that is used to perform some long-running operations in the background, such as in the Music app, where we run the app in the background while using other mobile apps at the same time. The best part is that we don’t need to provide some UI for the operations to be performed in the background. By using Service, we can perform some InterProcess Communication(IPC) also. So, with the help of Service, we can perform a number of operations together because any application component can start a Service and can run in background.
There are three ways of using Service:
1. Foreground Service :
A foreground service is a Service that will let the user know about what is happening in the background. For example, in the Music application, the user can see the ongoing song on the device as a form of notification. So, here displaying notification is a must.
2. Background Service :
Here, the user will never know about what is happening in the background of the application. For example, whatsapp messenger compresses the image file to reduce the size while sending some images over whatsapp. This task is done in background and the user have no idea about what is going in the background. But for the API level 21 or higher, the Android System imposes some restrictions while using the Background Service. So, we take care of those restrictions before using the Background Service.
3. Bound Service :
The Bound Service is used when one or more than one application component binds the Service by using the bindService() method. If the applications unbind the Service, then the Service will be destroyed.
IntentService
The Service is the base class for the IntentService. Basically, it uses “work queue process” pattern where the IntentService handles the on-demand requests (expressed as Intents) of clients. So, whenever a client sends a request then the Service will be started and after handling each and every Intent, the Service will be stopped. Clients can send the request to start a Service by using Context.startService(Intent) . Here, a worker thread is created and all requests are handled using the worker thread but at a time, only one request will be processed.
To use IntentService, we have to extend the IntentService and implement the onHandleIntent(android.content.Intent).
Service vs IntentService
In this section, we will look upon some of the differences between the Service and IntentService, so that it will be easier for us to find which one to use in which condition. Let’s see the difference:
If we want some background task to be performed for a very long period of time, then we should use the IntentService. But at the same time, we should take care that there is no or very less communication with the main thread. If the communication is required then we can use main thread handler or broadcast intents. We can use Service for the tasks that don’t require any UI and also it is not a very long running task.
To start a Service, we need to call the onStartService() method while in order to start IntentService, we have to use Intent i.e. start the IntentService by calling Context.startService(Intent).
Service always runs on the Main thread while the IntentService runs on a separate Worker thread that is triggered from the Main thread.
Service can be triggered from any thread while the IntentService can be triggered only from the Main thread i.e. firstly, the Intent is received on the Main thread and after that, the Worker thread will be executed.
If we are using Service then there are chances that our Main thread will be blocked because Service runs on the Main thread. But, in case of IntentService, there is no involvement of the Main thread. Here, the tasks are performed in the form of Queue i.e. on the First Come First Serve basis.
If we are using Service, then we have to stop the Service after using it otherwise the Service will be there for an infinite period of time i.e. until our phone is in normal state. So, to stop a Service, we have to use stopService() or stopSelf() . But in the case of IntentService, there is no need of stopping the Service because the Service will be automatically stopped once the work is done.
If we are using IntentService, then we will find it difficult to interact with the UI of the application. If we want to out some result of the IntentService in our UI, then we have to take help of some Activity.
Conclusion
In this note series, we understood about Service and IntentService differences and usages in android. We also discussed about fundamental concepts of Service and IntentService. If we have some limited amount of tasks to be performed in the background, then we can use Service, otherwise, we can use IntentService.
Thanks for reading! I hope you enjoyed and learned about Service vs IntentService in Android. Reading is one thing, but the only way to master it is to do it yourself.
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Hello Readers, CoolMonkTechie heartily welcomes you in this article (Are 20 Quick Valuable Concepts Best way to Learn Swift? ).
In this article, We will discuss 20 quick valuable concepts which is the best way to learn swift and helps to build iOS applications. We’ll need Swift Foundation Concepts as we start building apps. It means that we introduce each topic in a way. This provides enough background to understand the foundation concepts.
A famous quote about learning is :
” The beautiful thing about learning is that nobody can take it away from you.“
So Let’s begin.
1. Hello World
It is common to start any tutorial for a new language with the Hello World example so we’ll start out by showing how easy this is to do in Swift:
print("Hello World!") // Prints "Hello World!" to the output window in Xcode
To make this a little more personal, let’s look at one of the handy features of Swift (called string interpolation) where we can insert values into strings using the \(...) syntax. Below, we’ve inserted name into the middle of our string:
let name: String = "World"
print("Hello \(name)!") // Prints "Hello World!"
2. When to use let vs var
We’ll notice in the example above we’ve used let to create the new variable for the name “Bob”. In Swift, we’ll choose from the following 2 options when creating a new variable:
let => Use let when we are defining a constant (a value that will not change)
let numberOfContinents: Int = 7 // Seven continents will not change so we've used "let"
var => Use var when we are defining a variable (a value that might change)
var continentsVisited: Int = 2 // Continents visited increases over time so we've used "var"
In general, it is considered a best practice to use constants (let) whenever possible.
3. Numbers
The two most common types of numbers we’ll use in Swift are integers (Int) and doubles (Double):
Integers are whole numbers with no fractional component:
let minValue: Int = -42
let maxValue: Int = 55
Doubles can have a fractional component:
let pi: Double = 3.14159
let billAmount: Double = 10.25
4. Strings
Strings represent a series of characters:
let hello: String = "Hello"
let world: String = "World"
We can use string interpolation to construct new strings:
let helloWorld: String = "\(hello) \(world)" // "Hello World"
Or we can use the + operator to combine strings:
let helloWorld: String = hello + " " + world // "Hello World"
5. Booleans
Boolean is a very simple type in Swift as it can only ever be true or false:
let swiftIsCool: Bool = true
let iMissObjectiveC: Bool = false
6. Arrays
Arrays store a list of values that must be of the same type. Below we’ve kept track of the previous bill amounts (which is a list of doubles):
// Notice how we've used "var" here since we want to append new items to the array
var previousBillAmounts: [Double] = [10.25, 21.32, 15.54]
To check on how many bills there are in the array:
let count = previousBillAmounts.count // Result: 4
Or to check the first bill amount in the array:
let firstBillAmount = previousBillAmounts[0] // Result: 10.25
7. Dictionaries
Much like we might use a real-world dictionary to look up the definition for a word, you can use the dictionary data structure in Swift to create associations between keys (the word in the real-world dictionary) and values (the definition in the real-world dictionary).
For example, let’s say we want to keep track of the ages of people that are using our app. This will best done using the following dictionary:
Here, the key is the name of the person and the value is the person’s age.
Later on if we want to find out Bob’s age, we can look it up by doing:
let bobsAge = people["Bob"]
If we get a new user we can easily add them to our dictionary using the following syntax:
people["Dan"] = 56
8. Specifying Types
In most of the examples in this article, we are explicit with the types of our constants and variables. Explicit typing looks something like:
let name: String = "Bob" // Explicitly designating "name" to be of type "String"
However, Swift is smart enough to infer the type for us in a lot of cases. The short example of previous example is:
let name = "Bob" // Swift infers "name" is of type "String" since "Bob" is a String
In cases where Swift can infer the type, it’s not necessary to be explicit with the types for our constants and variables. We just do it in this guide so that the examples are easier to follow.
9. Any and AnyObject
Swift has two special “catch all types” that come in handy when a more specific type cannot determine.
AnyObject can represent an instance of any class type.
Any can represent an instance of any type at all.
In general, it’s a best practice to be as specific with our types as possible and avoid the use of AnyObject and Any, but they become particularly helpful when interacting with Objective-C code that is less strict on typing.
10. Optionals
Optionals is a very important concept in Swift and it means to improve the safety of Swift code. By simply placing a question mark (?) after any type, it declares that variable to be optional. An optional type allows that variable to exist in one of the following two states:
There is a value and it equals x
There isn’t a value at all
Let’s look at an example to make this more clear. Consider the following 2 examples where we are trying to convert a String to an Int:
// Example 1 (Conversion succeeds)
let input: String = "123"
let optionalConvertedInput: Int? = Int(input) // optionalConvertedInput = 123
// Example 2 (Conversion fails - input is not a number)
let input: String = "123abc"
let optionalConvertedInput: Int? = Int(input) // optionalConvertedInput = nil
Swift requires optionalConvertedInput to be of type Int? (or “optional Int”) so that it is explicit that convertedInput might not contain a value (in the case when the conversion fails). If we were to declare convertedInput as simply Int, we’d get a compile error.
There’s a handy syntax in Swift that we’ll use quite often when working with optionals. If we wanted to use the value of optionalConvertedInput later on in our code, we’d have to first check to make sure it’s not nil. We can do so using the following code:
if let convertedInput = optionalConvertedInput {
// Code that gets executed when optionalConvertedInput is NOT nil
} else {
// OptionalConvertedInput IS nil, do something else
}
In other languages like Java, NullPointerException is a common source of crashes. This exception fires when a null reference accesses. Swift’s Optionals go a long way to reduce this type of programming error.
Optionals in string interpolation
When using optionals in string interpolation, the value with either be Optional(...) or nil without being explicitly unwrapped. When the inner value needs, the optional must unwrap.
let maybeString: String? = "value"
print("\(maybeString)") // prints -> Optional("value")
print("\(maybeString!)") // prints -> "value"
11. Functions
Functions in Swift are very similar to other languages. The simplest function in Swift can write as:
// This prints "Hello!" to the output window
func printHello() {
print("Hello!")
}
// Calls this function
printHello()
We can extend this function to be a little more personable by taking in a name and returning the greeting instead of printing it out:
// Takes in a "personName" parameter of type String and returns the greeting as a String
func sayHello(personName: String) -> String {
// Implicitly returns when there is a single statement
"Hello \(personName)!"
}
// Calls this function
let greeting: String = sayHello("Bob")
Things get a little more interesting when we start to have multiple parameters as Swift has the concept of external and local parameter names. An external parameter name is used to label arguments passed to a function call. A local parameter name is a name used in the implementation of the function.
// "to" + "and" are the external parameter names
// "person" + "anotherPerson" are the local parameter names
func sayHello(to person: String, and anotherPerson: String) -> String {
"Hello \(person) and \(anotherPerson)!"
}
// Calls this function using the "external" parameter names
let greeting: String = sayHello(to: "Bill", and: "Ted")
12. Control Flow
Conditional Statements
If statements are very similar to other languages and can express as:
let temperatureInFahrenheit: Int = 90
if temperatureInFahrenheit <= 32 {
print("It's very cold. Consider wearing a scarf.")
} else if temperatureInFahrenheit >= 86 {
print("It's really warm. Don't forget to wear sunscreen.")
} else {
print("It's not that cold. Wear a t-shirt.")
}
Loops
The two most common types of loops we’ll need in Swift are for loops and for-in loops.
For loops work well when we want to do something until a particular condition is met (in the case below until index >= 3):
// Simple for loop that prints "Hello" 3 times
for var index = 0; index < 3; index++ {
print("Hello")
}
C-style for loops deprecated and will remove in future versions of Swift. For-in loops are preferred instead. The above example could be re-written as:
for _ in 0..<3 {
print("Hello")
}
For-in loops come in really handy when we want to do something to each item in a collection (such as an array):
let names = ["Anna", "Alex", "Brian", "Jack"]
// Loops over each name in "names" and prints out a greeting for each person
for name in names {
print("Hello, \(name)!")
}
Sometimes, we want to loop over each item in an array and also keep track of the index of the item. Array’s enumerated() method can help you achieve this:
let names = ["Anna", "Alex", "Brian", "Jack"]
for (index, value) in names.enumerated() {
print("Item \(index + 1): \(value)")
}
13. Classes
Classes are the building blocks of our app’s code. We define properties and methods to add functionality to our classes by using the same syntax as for variables and functions.
Below we can find a Person class that is meant to show an example of the types of things we’ll want to do when building our classes.
class Person {
// Custom initializer - takes in firstName and lastName
init(firstName: String, lastName: String) {
self.firstName = firstName
self.lastName = lastName
// Increment type property each time a new person is created
Person.numberOfPeople++
}
// *** Properties ***
// Stored Property - Stored as part of the current instance of the class
var firstName: String
var lastName: String
// Computed Property - computes "fullName" from "firstName" and "lastName"
var fullName: String {
get {
"\(firstName) \(lastName)"
}
}
// Type Property - Single instance for all instances of the class,
// similar to a static property in Java
static var numberOfPeople = 0
// *** Methods ***
// Instance Method
func greet() {
// Notice the use of "self" - self refers to the current instance and
// is similar to "this" in Java
print ("Hello \(self.firstName)")
}
// Type Method
class func printNumberOfPeople() {
print("Number of people = \(Person.numberOfPeople)")
}
}
// ... Using the Person Class ...
// Create a new instance of the Person class
let bob = Person(firstName: "Bob", lastName: "Smith")
// Call instance method
bob.greet() // Prints "Hello Bob"
// Accessing properies
print("Bob's first name is: \(bob.firstName)") // Prints "Bob's first name is: Bob"
print("Bob's full name is: \(bob.fullName)") // Prints "Bob's full name is: Bob Smith"
// Call type method
// Prints "Number of people = 1" (since we've only created one Person)
Person.printNumberOfPeople()
14. Protocols
Protocols are similar to interfaces in other languages. Think about a protocol as a contract. The contract includes a set of methods that must be implemented. Any classes that choose to implement a protocol sign this contract and implement all the methods that are in the protocol.
Let’s say we have the following protocol (MyFriendlyGreeterProtocol) that defines 2 methods sayHello() and sayBye():
Any classes that implement this protocol (you implement a protocol by adding its name after the class defintion as shown below), must implement both of these methods:
class MyEnglishPerson: MyFriendlyGreeterProtocol {
func sayHello() {
print("Hello!")
}
func sayBye() {
print("Bye!")
}
// ... other methods for this class ...
}
class MySpanishPerson: MyFriendlyGreeterProtocol {
func sayHello() {
print("Hola!")
}
func sayBye() {
print("Adios!")
}
// ... other methods for this class ...
}
There is a lot more you can do with protocols as they form one of the key design patterns in iOS. The code above merely shows how to get started with the syntax for protocols.
15. Swift Closures
Closures are self-contained blocks of code that can be passed around and used in our code. These are similar to blocks in Objective-C and lambdas in other programming languages.
Swift Closures can capture and store references to any constants and variables from the context in which they are defined. This is known as “closing” over those constants and variables. Swift handles all of the memory management of capturing for you.
Closure Example:
Example: A function called makeIncrementer which contains a nested function
Here’s an example of a function called makeIncrementer, which contains a nested function called incrementer. The nested incrementer() function captures two values, runningTotal and amount, from its surrounding context. After capturing these values, incrementer is returned by makeIncrementer as a closure that increments runningTotal by amount each time it is called.
func makeIncrementer(forIncrement amount: Int) -> () -> Int {
var runningTotal = 0
func incrementer() -> Int {
runningTotal += amount
return runningTotal
}
return incrementer
}
The return type of makeIncrementer is () -> Int. This means that it returns a function, rather than a simple value. The function it returns has no parameters, and returns an Int value each time it is called.
The makeIncrementer(forIncrement:) function defines an integer variable called runningTotal, to store the current running total of the incrementer that will be returned. This variable is initialized with a value of 0.
The makeIncrementer(forIncrement:) function has a single Int parameter with an external name of forIncrement, and a local name of amount. The argument value passed to this parameter specifies how much runningTotal should be incremented by each time the returned incrementer function is called.
makeIncrementer defines a nested function called incrementer, which performs the actual incrementing. This function simply adds amount to runningTotal, and returns the result.
When considered in isolation, the nested incrementer() function might seem unusual:
The incrementer() function doesn’t have any parameters, and yet it refers to runningTotal and amount from within its function body. It does this by capturing a reference to runningTotal and amount from the surrounding function and using them within its own function body. Capturing by reference ensures that runningTotal and amount do not disappear when the call to makeIncrementer ends, and also ensures that runningTotal is available the next time the incrementer function is called.
Example: a function called makeIncrementer in action
Here’s an example of makeIncrementer in action:
// This example sets a constant called incrementByTen to refer to an //incrementer function that
// adds 10 to its runningTotal variable each time it is called.
let incrementByTen = makeIncrementer(forIncrement: 10)
incrementByTen() // returns a value of 10
incrementByTen() // returns a value of 20
incrementByTen() // returns a value of 30
16. Type Casting (as, as?, as!)
Type casting changes the type of a particular instance to another compatible type. There are 3 ways to accomplish this with Swift:
Guaranteed conversion with as : This is the safest cast. It will never fail since the compiler can guarantee the cast will work. Use this when you are upcasting from a child class to its parent or doing something like 1 as Float.
// Guaranteed conversion as the compiler can verify this will succeed
let myFloat = 1 as Float
// Guaranteed conversion as upcasting from a type to its parent type is safe
// UIView is a parent of UITableView
let myView = myTableView as UIView
2. Conditional conversion with as? : This is a cautious cast. If the cast fails, it will return nil. This is needed when downcasting from a parent type to a child type.
// If myView is actually a tableView, the downcast will succeed, otherwise it will fail safely
if let myTableView = myView as? UITableView {
print("The downcast succeeded!")
} else {
print("The downcast failed!")
}
3. Forced conversion with as! : This is a dangerous cast that you should avoid using. If the cast fails, this will crash our app. Use this cast carefully.
// DANGEROUS: If myView is actually a tableView, the downcast will succeed
// Otherwise it will crash the app
let myTableView = myView as! UITableView
17. Understanding the Exclamation Mark (!)
There are various places you might come across an exclamation mark in Swift code. The following examples are meant to capture the major types of use cases for the exclamation mark operator that can cause confusion when first learning Swift.
When getting the actual value out of an optional (called unwrapping an optional):
let possibleString: String? = "An optional string."
// DANGEROUS: possibleString must NOT be nil or this will crash
let forcedString: String = possibleString!
// SAFE: Will only enter the if clause if possibleString is NOT nil
if let actualString = possibleString {
// do something with actualString
}
// SAFE: Generally preferred alternate syntax to "if let" that can exit early
guard let actualString = possibleString else {
// exit early or throw exception
}
// do something with actualString
When type casting (called forced conversion):
// DANGEROUS: If myView is actually a tableView, the downcast will succeed
// Otherwise it will crash the app
let myTableView = myView as! UITableView
When defining variables that are initially nil but get set soon afterwards and are guaranteed not to be nil after that (called implicitly unwrapped optionals):
let assumedString: String! = "An implicitly unwrapped optional string."
// no need for an exclamation mark since assumedString is an implicitly unwrapped optional
let implicitString: String = assumedString
18. Property Observers
A very useful inclusion of the Swift language is Property Observers. While the language might sound complex, it’s actually a literal explanation of what it does. It allows you to observe properties and respond to impending or finished property changes. It’s part of Apple’s goal to make Swift a cleaner language because a developer merely has to keep any logic related to updating properties in one convenient place.
Let’s look at an example.
Assume we have a Fitness tracking application and whenever a user enters their weight, we calculate and display their BMI to them.
Without property observers, and keeping in good practice (since BMI is calculated and not set in initialization), we might have a class like this –
In a view where we ask the user to enter their new weight, we would call profile.updateBMI() after the new weight is set. Isn’t this a little tedious? It’s almost a trap for developers. We have to actively remember that we should update our BMI every time we update our weight.
Thankfully, with property observers, we don’t have to actively watch every property change as a developer. Our class becomes –
It might not look like much, but now whenever we update BMI, we don’t have to worry about calling updateBMI() and to be honest, we can clean this up even more by making BMI private(set), changing Profile to a struct and adding a mutating func.
What is mutating we ask? Well, normally Struct’s are read only. This is because in order for them to be fast, they need to take up space on Stack instead of Heap. A simple way to explain this is to imagine that Stack is writing with a Pen and Heap is writing with a Pencil. Some of you might think “well what’s the big deal? they both write.” But think about all the extra work that comes with a Pencil – We need an eraser, we have to clean the eraser off the paper and can end up using more material if we edit a lot. A pen, on the other hand, we just write (we’re assuming you’re not using an erasable pen or white-out) and it’s set.
Mutating gives us the ability to say, “Hey, this Struct will be read-only, but if I make it a variable, I might want to update its properties, so please give me the ability to edit that Struct”.
There’s a little more to this under the hood, but Structs tend to be pretty thread-safe, so we can assume every Struct exists by itself and it’s pretty safe to edit like this.
Other Property Observers
There are other property observers for every stage of a state change – willSet, set/get are included. willSet has the added ability of being able to compare newValue to the original value (called the property name).
A few hints about where didSet can be quite powerful is when dealing with network data and data sources. When a user has the ability to get objects from a server with a regular network call, a search and tapping a keyword, it can be useful if the var dataSource: [Models] has didSet to reload the data of the view. That way we won’t have to do it manually.
19. Working with JSON
A lot of the time when working with REST API’s (like Instagram, Twitter, etc), the data that comes back will be JSON. JSON is a human readable data format (very similar to XML).
Below is an example of JSON that simulates the type of JSON. We might get back when using an endpoint that returns movies and their ratings:
An open curly brace means the start of a dictionary
Below is an example of how we extract the movies and ratings from that response:
// data returned from the network response will typically be of type
// NSData (which is a buffer of bytes)
let responseData: NSData = // ... some value retrieved from the network response ...
// Wrap our code in a do catch as our code might throw an exception which we need to handle
do {
// Start by converting the NSData to a dictionary - a dictionary for the entire response
if let responseDictionary = try NSJSONSerialization.JSONObjectWithData(responseData,
options:NSJSONReadingOptions(rawValue:0)) as? [String:AnyObject] {
// Dip inside the response to find the "movies" key and get the array of movies
if let movies = responseDictionary["movies"] as? [AnyObject] {
// Get each movie dictionary from the array of movies
for movie in movies {
// Use the movie "title" key and "rating" key to get their values
if let title = movie["title"] as? String {
if let rating = movie["rating"] as? Double {
print("Title:\(title), rating:\(rating)")
}
}
}
}
}
} catch {
print("Error parsing JSON")
}
20. Playgrounds
Xcode includes a very useful tool for learning Swift called “Playgrounds”. It’s very easy to create a new playground through Xcode.
Once inside a playground, we can write Swift code and see it run immediately (without needing to build and run a project each time). This allows you to try out different syntaxes and test out our code before including it in our app.
We highly recommend checking out Playgrounds while we are learning Swift.
In this article, We discussed 20 quick valuable concepts which are the best way to learn swift and help to build iOS applications.
Thanks for reading! I hope you enjoyed and learned about the 20 quick valuable Swift Foundation Concepts. Reading is one thing, but the only way to master it is to do it yourself.
Please follow and subscribe us on this blog and and support us in any way possible. Also like and share the article with others for spread valuable knowledge.
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Hello Readers, CoolMonkTechie heartily welcomes you in this article (Understanding Android Activity Lifecycle).
In this article, We will learn about Activity Lifecycle in android. Activity in Android is one of the most important components of Android. It is the Activity where we put the UI of our application. So, if we are new to Android development then we should learn what an Activity is in Android and what is the lifecycle of an Activity.
A famous quote about learning is :
“Change is the end result of all true learning.”
So Let’s begin.
What is an Activity in Android?
The Activity class is a crucial component of an Android app, and the way activities are launched and put together is a fundamental part of the platform’s application model.
Whenever we open an Android application, then we see some UI drawn over our screen. That screen is called an Activity. It is the basic component of Android and whenever we are opening an application, then we are opening some activity.
For example, when we open our Gmail application, then we see our emails on the screen. Those emails are present in an Activity. If we open some particular email, then that email will be opened in some other Activity.
When we all started with coding, we know about the main method from where the program begins execution. Similarly, in Android, Activity is the one from where the Android Application starts its process. Activity is one screen of the app’s user interface. There is a series of methods that run in an activity.
There is a lifecycle associated with every Activity and to make an error-free Android application, we have to understand the lifecycle of Activity and write the code accordingly.
What is the Android Activity Lifecycle ?
As a user navigates through, out of, and back to our app, the Activity instances in your app transition through different states in their lifecycle. The Activity class provides a number of callbacks that allow the activity to know that a state has changed: that the system is creating, stopping, or resuming an activity, or destroying the process in which the activity resides.
Within the lifecycle callback methods, we can declare how our activity behaves when the user leaves and re-enters the activity.
For example, if we’re building a streaming video player, we might pause the video and terminate the network connection when the user switches to another app. When the user returns, we can reconnect to the network and allow the user to resume the video from the same spot. In other words, each callback allows us to perform specific work that’s appropriate to a given change of state. Doing the right work at the right time and handling transitions properly make our app more robust and performant. For example, good implementation of the lifecycle callbacks can help ensure that our app avoids:
Crashing if the user receives a phone call or switches to another app while using our app.
Consuming valuable system resources when the user is not actively using it.
Losing the user’s progress if they leave our app and return to it at a later time.
Crashing or losing the user’s progress when the screen rotates between landscape and portrait orientation.
The Core Set Of Android Activity Lifecycle Callbacks
An Android activity undergoes through a number of states during its whole life cycle. To navigate transitions between stages of the activity lifecycle, the Activity class provides a core set of six callbacks: onCreate(), onStart(), onResume(), onPause(), onStop(), and onDestroy(). The system invokes each of these callbacks as an activity enters a new state.
The Activity lifecycle consists of 7 methods:
onCreate() : This method calls When a user first opens an activity. We must implement this callback, which fires when the system first creates the activity. On activity creation, the activity enters the Created state. In the onCreate() method, we perform basic application startup logic that should happen only once for the entire life of the activity.
onStart(): When the activity enters the Started state, the system invokes this callback. The onStart() call makes the activity visible to the user, as the app prepares for the activity to enter the foreground and become interactive..
onResume(): When the activity enters the Resumed state, it comes to the foreground, and then the system invokes the onResume() callback. This is the state in which the app interacts with the user.
onPause(): The system calls this method as the first indication that the user is leaving your activity. it indicates that the activity is no longer in the foreground. Use the onPause() method to pause or adjust operations that should not continue while the Activity is in the Paused state, and that we expect to resume shortly.
onStop(): When our activity is no longer visible to the user, it has entered the Stopped state, and the system invokes the onStop() callback. This may occur, for example, when a newly launched activity covers the entire screen. The system may also call onStop() when the activity has finished running, and is about to be terminated.
onRestart(): It calls when the activity in the stopped state is about to start again.
onDestroy(): It calls when the activity clears from the application stack.The system invokes this callback either because:
the activity is finishing (due to the user completely dismissing the activity or due to finish() being called on the activity), or
the system is temporarily destroying the activity due to a configuration change (such as device rotation or multi-window mode).
So, these are the 7 methods that associates with the lifecycle of an activity.
Use-cases of Activity Lifecycle
Now, let’s see real-life use-cases to understand the lifecycle for an activity.
Use Case 01
When we open the activity for the first time, the sequence of state change it goes through is,
onCreate -> onStart -> onResume
After this point, The user uses the activity when it is ready.
Use Case 02
Now, let’s say we are minimizing the app by pressing the home button of the phone. The state changes it will go through is,
onPause -> onStop
Use Case 03
When we are moving to and from between activities, let’s say Activity A and Activity B. So, we will break it down into steps.
First, it opens Activity A, where the following states call initially,
onCreate -> onStart -> onResume
Then let’s say on a click of a button we opened Activity B. While opening Activity B, first, onPause will be called for Activity A and then,
onCreate -> onStart -> onResume
will call for Activity B. Then to finish this off, onStop of Activity A will be called and finally, Activity B would be loaded.
Now, when we press the back button from Activity B to Activity A, then first,onPause of Activity B is called and then,
onRestart -> onStart -> onResume
calls for Activity A and it displays to the user. Here we can see onRestart gets called rather then onCreate as it is restarting the activity and not creating it.
Then after onResume of Activity A is called then,
onStop -> onDestroy
calls for Activity B and hence the activity destroys as the user has moved to Activity A.
Use Case 04
Pressing the lock button while activity is on then,
onPause -> onStop
calls and when we reopen the app again,
onRestart -> onStart -> onResume
calls.
Use Case 05
When we kill the app from the recent app’s tray,
onPause -> onStop -> onDestroy
it gets called. Here you can see we are getting the onDestroy state getting called as we are killing the instance of the activity.
When we now reopen the activity, it will call onCreate and not onRestart to start the activity.
Use Case 06
Consider a use-case where we need to ask permission from the user. Majority of the times we do it in onCreate.
Now, an edge case here is let’s say we navigate to a phone’s Settings app and deny the permission there, and then I came back to the initial app’s activity. Here, onCreate would not be called.
So, our permission check could not be satisfied here. To overcome this, onStart is the best place to put your permission check as it will handle the edge cases.
That’s all about in this article.
Conclusion
In this article, we learned about what an Activity is in Android and what is the lifecycle of an Activity . We also discussed the different Use-cases of Activity LifeCycle in Android.
Thanks for reading ! I hope you enjoyed and learned about Activity Lifecycle Concept in Android. Reading is one thing, but the only way to master it is to do it yourself.
Please follow and subscribe us on this blog and and support us in any way possible. Also like and share the article with others for spread valuable knowledge.
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Hello Readers, CoolMonkTechie heartily welcomes you in this article (An Overview Of Swift Closures In iOS) .
In this article, we will learn about Swift Closures in iOS. Swift Closures are other types of Swift functions which can be defined without using keyword func and a function name. Closures in Swift are similar to blocks in C and Objective-C and to lambdas in other programming languages. This article covers Swift Closures related concepts (like Closure Expressions, Trailing Closures, Capturing Values, Closure as Reference Types and Auto-closures) in iOS with an authentic example.
A famous quote about learning is :
” Develop a passion for learning. If you do, you will never cease to grow. ”
So Let’s begin.
Swift Closures Overview
” Closures are self-contained blocks of functionality that can be passed around and used in our code. It is similar to blocks in C and Objective-C and to lambdas in other programming languages.”
Swift Closures can capture and store references to any constants and variables from the context in which they are defined. We know this as closing over those constants and variables. Swift handles all the memory management of capturing for us.
Global and nested functions are special cases of closures. Closures take one of three forms:
Global functions are closures that have a name and don’t capture any values.
Nested functions are closures that have a name and can capture values from their enclosing function.
Closure expressions are unnamed closures written in a lightweight syntax that can capture values from their surrounding context.
Swift’s closure expressions have a clean and clear style, with optimizations that encourage brief, clutter-free syntax in common scenarios. These optimizations include:
Inferring parameter and return value types from context
Implicit returns from single-expression closures
Shorthand argument names
Trailing closure syntax
Swift Closure Expressions
Closure expressions are a way to write inline closures in a brief, focused syntax. Closure expressions provide several syntax optimizations for writing closures in a shortened form without loss of clarity or intent. The closure expression examples below illustrate these optimizations by refining a single example of the sorted(by:) method over several iterations, each of which expresses the same functionality in a more succinct way.
The Sorted Method
Swift’s standard library provides a method called sorted(by:), which sorts an array of values of a known type, based on the output of a sorting closure that we provide. Once it completes the sorting process, the sorted(by:) method returns a new array of the same type and size as the old one, with its elements in the correct sorted order. The original array is not modified by the sorted(by:) method.
The closure expression examples below use the sorted(by:) method to sort an array of String values in reverse alphabetical order. Here’s the initial array to be sorted:
let names = ["Chris", "Alex", "Ewa", "Barry", "Daniella"]
The sorted(by:) method accepts a closure that takes two arguments of the same type as the array’s contents, and returns a Bool value to say whether the first value should appear before or after the second value once the values are sorted. The sorting closure needs to return true if the first value should appear before the second value, and false otherwise.
This example is sorting an array of String values, and so the sorting closure needs to be a function of type (String, String) -> Bool.
One way to provide the sorting closure is to write a normal function of the correct type, and to pass it in as an argument to the sorted(by:) method:
func backward(_ s1: String, _ s2: String) -> Bool {
return s1 > s2
}
var reversedNames = names.sorted(by: backward)
// reversedNames is equal to ["Ewa", "Daniella", "Chris", "Barry", "Alex"]
In this example, if the first string (s1) is greater than the second string (s2), the backward (_:_:) function will return true, it is showing that s1 should appear before s2 in the sorted array. For characters in strings, “greater than” means “appears later in the alphabet than”. This means that the letter (B) is greater than the letter (A), and the string (Tom) is greater than the string (Tim). This gives a reverse alphabetical sort, with (Barry) being placed before (Alex), and so on.
However, this is a rather long-winded way to write what is essentially a single-expression function (a > b). In this example, it would be preferable to write the sorting closure inline, using closure expression syntax.
Closure Expression Syntax
Closure expression syntax has the following general form:
{ (parameters) -> return type in
statements
}
The parameters in closure expression syntax can be in-out parameters, but they can’t have a default value. Variadic parameters can be used if we name the variadic parameter. Tuples can also be used as parameter types and return types.
The example below shows a closure expression version of the backward(_:_:) function from above:
We are aware that the declaration of parameters and return type for this inline closure is identical to the declaration from the backward(_:_:) function. In both cases, it is written as (s1: String, s2: String) -> Bool. However, for the inline closure expression, the parameters and return type are written inside the curly braces, not outside of them.
The start of the closure’s body is introduced by the in keyword. This keyword indicates that the definition of the closure’s parameters and return type has finished, and the body of the closure is about to begin.
Inferring Type From Context
Because the sorting closure is passed as an argument to a method, Swift can infer the types of its parameters and the type of the value it returns. The sorted(by:) method is being called on an array of strings, so its argument must be a function of type (String, String) -> Bool. This means that the (String, String) and Bool types don’t need to be written as part of the closure expression’s definition. Because all of the types can be inferred, the return arrow (->) and the parentheses around the names of the parameters can also be omitted:
It is always possible to infer the parameter types and return type when passing a closure to a function or method as an inline closure expression. As a result, we never need to write an inline closure in its fullest form when the closure is used as a function or method argument.
In the case of the sorted(by:) method, the purpose of the closure is clear from the fact that sorting is taking place, and it is safe for a reader to assume that the closure is likely to be working with String values, because it is assisting with the sorting of an array of strings.
Implicit Returns from Single-Expression Closures
Single-expression closures can implicitly return the result of their single expression by omitting the return keyword from their declaration, as in this version of the previous example:
Here, the function type of the sorted(by:) method’s argument makes it clear that a Bool value must be returned by the closure. Because the closure’s body contains a single expression (s1 > s2) that returns a Bool value, there’s no ambiguity, and the return keyword can be omitted.
Shorthand Argument Names
Swift automatically provides shorthand argument names to inline closures, which can be used to refer to the values of the closure’s arguments by the names $0, $1, $2, and so on.
If we use these shorthand argument names within our closure expression, we can omit the closure’s argument list from its definition, and the number and type of the shorthand argument names will be inferred from the expected function type. The in keyword can also be omitted, because the closure expression is made up entirely of its body:
reversedNames = names.sorted(by: { $0 > $1 } )
Here, $0 and $1 refer to the closure’s first and second String arguments.
Operator Methods
This is an even shorter way to write the closure expression above. Swift’s String type defines its string-specific implementation of the greater-than operator (>) as a method that has two parameters of type String, and returns a value of type Bool. This exactly matches the method type needed by the sorted(by:) method. Therefore, we can simply pass in the greater-than operator, and Swift will infer that we want to use its string-specific implementation:
reversedNames = names.sorted(by: >)
Trailing Swift Closures
If we need to pass a closure expression to a function as the function’s final argument and the closure expression is long, it can be useful to write it as a trailing closure instead. We write a trailing closure after the function call’s parentheses, even though the trailing closure is still an argument to the function.When we use the trailing closure syntax, we don’t write the argument label for the first closure as part of the function call.
A function call can include multiple trailing closures; however, the first few examples below use a single trailing closure.
func someFunctionThatTakesAClosure(closure: () -> Void) {
// function body goes here
}
// Here's how you call this function without using a trailing closure:
someFunctionThatTakesAClosure(closure: {
// closure's body goes here
})
// Here's how you call this function with a trailing closure instead:
someFunctionThatTakesAClosure() {
// trailing closure's body goes here
}
The string-sorting closure from the Closure Expression Syntax section above can be written outside of the sorted(by:) method’s parentheses as a trailing closure:
reversedNames = names.sorted() { $0 > $1 }
If a closure expression is provided as the function’s or method’s only argument and we provide that expression as a trailing closure, we don’t need to write a pair of parentheses () after the function or method’s name when we call the function:
reversedNames = names.sorted { $0 > $1 }
Trailing closures are most useful when the closure is sufficiently long that it is not possible to write it inline on a single line.
Example
If a function takes multiple closures, we omit the argument label for the first trailing closure and we label the remaining trailing closures. For example, the function below loads a picture for a photo gallery:
When we call this function to load a picture, we provide two closures. The first closure is a completion handler that displays a picture after a successful download. The second closure is an error handler that displays an error to the user.
loadPicture(from: someServer) { picture in
someView.currentPicture = picture
} onFailure: {
print("Couldn't download the next picture.")
}
In this example, the loadPicture(from:completion:onFailure:) function dispatches its network task into the background, and calls one of the two completion handlers when the network task finishes. Writing the function this way lets us cleanly separate the code that’s responsible for handling a network failure from the code that updates the user interface after a successful download, instead of using just one closure that handles both circumstances.
Capturing Values In Swift Closures
A closure can capture constants and variables from the surrounding context in which it is defined. The closure can then refer to and modify the values of those constants and variables from within its body, even if the original scope that defined the constants and variables no longer exists.
In Swift, the simplest form of a closure that can capture values is a nested function, written within the body of another function. A nested function can capture any of its outer function’s arguments and can also capture any constants and variables defined within the outer function.
Example
Here’s an example of a function called makeIncrementer, which contains a nested function called incrementer. The nested incrementer() function captures two values, runningTotal and amount, from its surrounding context. After capturing these values, incrementer is returned by makeIncrementer as a closure that increments runningTotal by amount each time it is called.
Code Syntax 1: makeIncrementer() function
func makeIncrementer(forIncrement amount: Int) -> () -> Int {
var runningTotal = 0
func incrementer() -> Int {
runningTotal += amount
return runningTotal
}
return incrementer
}
The return type of makeIncrementer is () -> Int. This means that it returns a function, rather than a simple value. The function it returns has no parameters, and returns an Int value each time it is called.
The makeIncrementer(forIncrement:) function defines an integer variable called runningTotal, to store the current running total of the incrementer that will be returned. This variable is initialized with a value of 0.
The makeIncrementer(forIncrement:) function has a single Int parameter with an argument label of forIncrement, and a parameter name of amount. The argument value passed to this parameter specifies how much runningTotal should be incremented by each time the returned incrementer function is called. The makeIncrementer function defines a nested function called incrementer, which performs the actual incrementing. This function simply adds amount to runningTotal, and returns the result.
Code Syntax 2: incrementer() function
When considered in isolation, the nested incrementer() function might seem unusual:
The incrementer() function doesn’t have any parameters, and yet it refers to runningTotal and amount from within its function body. It does this by capturing a reference to runningTotal and amount from the surrounding function and using them within its own function body. Capturing by reference ensures that runningTotal and amount don’t disappear when the call to makeIncrementer ends, and also ensures that runningTotal is available the next time the incrementer function is called.
Code Syntax 3: makeIncrementer() function usage
Here’s an example of makeIncrementer usage is :
let incrementByTen = makeIncrementer(forIncrement: 10)
This example sets a constant called incrementByTen to refer to an incrementer function that adds 10 to its runningTotal variable each time it is called. Calling the function multiple times shows this behavior in action:
incrementByTen()
// returns a value of 10
incrementByTen()
// returns a value of 20
incrementByTen()
// returns a value of 30
If we create a second incrementer, it will have its own stored reference to a new, separate runningTotal variable:
let incrementBySeven = makeIncrementer(forIncrement: 7)
incrementBySeven()
// returns a value of 7
Calling the original incrementer (incrementByTen) again continues to increment its own runningTotal variable, and does not affect the variable captured by incrementBySeven:
incrementByTen()
// returns a value of 40
We are aware that Swift may instead capture and store a copy of a value as an optimization, if that value is not mutated by a closure, and if the value is not mutated after the closure is created.
Swift also handles all memory management involved in disposing of variables when they are no longer needed.
If we assign a closure to a property of a class instance, and the closure captures that instance by referring to the instance or its members, we will create a strong reference cycle between the closure and the instance. Swift uses capture lists to break these strong reference cycles.
Swift Closures As Reference Types
In the example above, incrementBySeven and incrementByTen are constants, but the closures these constants refer to are still able to increment the runningTotal variables that they have captured. This is because functions and closures are reference types.
Whenever we assign a function or a closure to a constant or a variable, we are actually setting that constant or variable to be a reference to the function or closure.
Example
In the example above, it is the choice of closure that incrementByTenrefers to that is constant, and not the contents of the closure itself.
This also means that if we assign a closure to two different constants or variables, both of those constants or variables refer to the same closure.
let alsoIncrementByTen = incrementByTen
alsoIncrementByTen()
// returns a value of 50
incrementByTen()
// returns a value of 60
The example above shows that calling alsoIncrementByTen is the same as calling incrementByTen. Because both of them refer to the same closure, they both increment and return the same running total.
Escaping Swift Closures
A closure is said to escape a function when the closure is passed as an argument to the function, but is called after the function returns. When we declare a function that takes a closure as one of its parameters, we can write @escaping before the parameter’s type to indicate that the closure is allowed to escape.
One way that a closure can escape is by being stored in a variable that’s defined outside the function.
Example
As an example, many functions that start an asynchronous operation take a closure argument as a completion handler. The function returns after it starts the operation, but the closure isn’t called until the operation is completed—the closure needs to escape, to be called later.
Code Syntax 1 : someFunctionWithEscapingClosure() function
The someFunctionWithEscapingClosure(_:) function takes a closure as its argument and adds it to an array that’s declared outside the function. If we didn’t mark the parameter of this function with @escaping, we would get a compile-time error.
An escaping closure that refers to self needs special consideration if self refers to an instance of a class. Capturing self in an escaping closure makes it easy to accidentally create a strong reference cycle.
Normally, a closure captures variables implicitly by using them in the body of the closure, but in this case we need to be explicit. If we want to capture self, write self explicitly when we use it, or include self in the closure’s capture list. Writing self explicitly lets we express our intent, and reminds us to confirm that there isn’t a reference cycle.
Code Syntax 2 : doSomething() function
For example, in the code below, the closure passed to someFunctionWithEscapingClosure(_:) refers to self explicitly. In contrast, the closure passed to someFunctionWithNonescapingClosure(_:) is a non-escaping closure, which means it can refer to self implicitly.
func someFunctionWithNonescapingClosure(closure: () -> Void) {
closure()
}
class SomeClass {
var x = 10
func doSomething() {
someFunctionWithEscapingClosure { self.x = 100 }
someFunctionWithNonescapingClosure { x = 200 }
}
}
let instance = SomeClass()
instance.doSomething()
print(instance.x)
// Prints "200"
completionHandlers.first?()
print(instance.x)
// Prints "100"
Here’s a version of doSomething() that captures self by including it in the closure’s capture list, and then refers to self implicitly:
class SomeOtherClass {
var x = 10
func doSomething() {
someFunctionWithEscapingClosure { [self] in x = 100 }
someFunctionWithNonescapingClosure { x = 200 }
}
}
If selfis an instance of a structure or an enumeration, we can always refer to self implicitly. However, an escaping closure can’t capture a mutable reference to self when self is an instance of a structure or an enumeration. Structures and enumerations don’t allow shared mutability.
struct SomeStruct {
var x = 10
mutating func doSomething() {
someFunctionWithNonescapingClosure { x = 200 } // Ok
someFunctionWithEscapingClosure { x = 100 } // Error
}
}
The call to the someFunctionWithEscapingClosure function in the example above is an error because it’s inside a mutating method, so self is mutable. That violates the rule that escaping closures can’t capture a mutable reference to self for structures.
Auto-closures
An auto-closure is a closure that is automatically created to wrap an expression that’s being passed as an argument to a function. It doesn’t take any arguments, and when it’s called, it returns the value of the expression that’s wrapped inside of it. This syntactic convenience lets us omit braces around a function’s parameter by writing a normal expression instead of an explicit closure. It’s common to call functions that take auto-closures, but it’s not common to implement that kind of function.
For example, the assert(condition:message:file:line:) function takes an auto-closure for its condition and message parameters; its condition parameter is evaluated only in debug builds and its message parameter is evaluated only if condition is false.
An auto-closure lets us delay evaluation, because the code inside isn’t run until we call the closure. Delaying evaluation is useful for code that has side effects or is computationally expensive, because it lets us control when that code is evaluated.
Code Syntax 1 : Closure delays evaluation
The code below shows how a closure delays evaluation.
var customersInLine = ["Chris", "Alex", "Ewa", "Barry", "Daniella"]
print(customersInLine.count)
// Prints "5"
let customerProvider = { customersInLine.remove(at: 0) }
print(customersInLine.count)
// Prints "5"
print("Now serving \(customerProvider())!")
// Prints "Now serving Chris!"
print(customersInLine.count)
// Prints "4"
Even though the first element of the customersInLine array is removed by the code inside the closure, the array element isn’t removed until the closure is actually called. If the closure is not called, the expression inside the closure is not evaluated. It means the array element is not removed. We are aware that the type of customerProvider is not String but () -> String — a function with no parameters that returns a string.
Code Syntax 2 : Closure as an argument to a function
We can get the same behavior of delayed evaluation when we pass a closure as an argument to a function.
The serve(customer:) function in the listing above takes an explicit closure that returns a customer’s name. The version of serve(customer:) below performs the same operation but, instead of taking an explicit closure, it takes an auto-closure by marking its parameter’s type with the @autoclosure attribute. Now we can call the function as if it took a String argument instead of a closure. The argument is automatically converted to a closure, because the customerProvider parameter’s type is marked with the @autoclosure attribute.
If we want an auto-closure that is allowed to escape, use both the @autoclosure and @escaping attributes.
// customersInLine is ["Barry", "Daniella"]
var customerProviders: [() -> String] = []
func collectCustomerProviders(_ customerProvider: @autoclosure @escaping () -> String) {
customerProviders.append(customerProvider)
}
collectCustomerProviders(customersInLine.remove(at: 0))
collectCustomerProviders(customersInLine.remove(at: 0))
print("Collected \(customerProviders.count) closures.")
// Prints "Collected 2 closures."
for customerProvider in customerProviders {
print("Now serving \(customerProvider())!")
}
// Prints "Now serving Barry!"
// Prints "Now serving Daniella!"
In the code above, instead of calling the closure passed to it as its customerProvider argument, the collectCustomerProviders(_:) function appends the closure to the customerProviders array. The array is declared outside the scope of the function, which means the closures in the array can be executed after the function returns. As a result, the value of the customerProvider argument must be allowed to escape the function’s scope.
In this article, we understood Swift Closures in iOS. This article reviewed Swift Closures related concepts (like Closure Expressions, Trailing Closures, Capturing Values, Closure as Reference Types and Auto-closures) in iOS with an authentic example.
Thanks for reading! I hope you enjoyed and learned about Swift Closures Concepts in iOS. Reading is one thing, but the only way to master it is to do it yourself.
Please follow and subscribe us on this blog and support us in any way possible. Also like and share the article with others for spread valuable knowledge.
You can find Other articles of CoolmonkTechie as below link :
Hello Readers, CoolMonkTechie heartily welcomes you in A Short Note Series (iOS Best Practices And Swift Coding Standards With Code Organization, Spacing and Comments).
In this note series, we will learn about iOS Best Practices and Swift Coding Standards With Code Organization, Spacing and Comments. Coding standards act as a guideline for ensuring quality and continuity in iOS code. We will discuss about iOS best practices and swift coding standards with Code Organization, Spacing and Comments which will helps to ensure our code as efficient, error-free, simple ,easy maintenance enabled and bug rectification.
So Let’s begin.
Code Organization
We can use extensions to organize our code into logical blocks of functionality. Each extension should be set off with a // MARK: – comment to keep things organised.
Protocol Conformance
We can prefer adding a separate extension for the protocol methods when adding protocol conformance to a model. This keeps the related methods grouped together with the protocol and can simplify instructions to add a protocol to a class with its associated methods.
Preferred :
class MyViewController: UIViewController {
// class stuff here
}
// MARK: - UITableViewDataSource
extension MyViewController: UITableViewDataSource {
// table view data source methods
}
// MARK: - UIScrollViewDelegate
extension MyViewController: UIScrollViewDelegate {
// scroll view delegate methods
}
Not Preferred :
class MyViewController: UIViewController, UITableViewDataSource, UIScrollViewDelegate {
// all methods
}
Since the compiler does not allow us to re-declare protocol conformance in a derived class, it is not always required to replicate the extension groups of the base class.
This is especially true if the derived class is a terminal class and a small number of methods are being overridden. When to preserve the extension groups is left to the discretion of the developer.
For UIKit view controllers, consider grouping lifecycle, custom accessors, and IBAction in separate class extensions.
Unused Code
Unused (dead) code, including Xcode template code and placeholder comments should be removed. An exception is when our tutorial or book instructs the user to use the commented code.
Aspirational methods not directly associated with the article whose implementation simply calls the superclass should also be removed. This includes any empty/unused UIApplicationDelegate methods.
override func didReceiveMemoryWarning() {
super.didReceiveMemoryWarning()
// Dispose of any resources that can be recreated.
}
override func numberOfSections(in tableView: UITableView) -> Int {
// #warning Incomplete implementation, return the number of sections
return 1
}
override func tableView(_ tableView: UITableView, numberOfRowsInSection section: Int) -> Int {
// #warning Incomplete implementation, return the number of rows
return Database.contacts.count
}
Minimal Imports
Import only the modules a source file requires. For example, don’t import UIKit when importing Foundation will suffice. Likewise, don’t import Foundation if we must import UIKit.
Preferred:
//1
import UIKit
var view: UIView
var deviceModels: [String]
//2
import Foundation
var deviceModels: [String]
Not Preferred:
//1
import UIKit
import Foundation
var view: UIView
var deviceModels: [String]
//2
import UIKit
var deviceModels: [String]
Spacing
Indent using 2 spaces rather than tabs to conserve space and help prevent line wrapping. Be sure to set this preference in Xcode and in the Project settings as shown below:
Method braces and other braces (if/else/switch/while etc.) always open on the same line as the statement but close on a new line.
There should be exactly one blank line between methods to aid in visual clarity and organization. Whitespace within methods should separate functionality, but having too many sections in a method often means we should refactor into several methods.
There should be no blank lines after an opening brace or before a closing brace.
Colons always have no space on the left and one space on the right. Exceptions are the ternary operator ? :, empty dictionary [:] and #selector syntax addTarget(_:action:).
Long lines should be wrapped at around 70 characters. A hard limit is intentionally not specified.
Avoid trailing whitespaces at the ends of lines.
Add a single newline character at the end of each file.
We can re-indent by selecting some code (or Command-A to select all) and then Control-I (or Editor ▸ Structure ▸ Re-Indent in the menu). Some of the Xcode template code will have 4-space tabs hard coded, so this is a good way to fix that.
Preferred:
//1
if user.isHappy {
// Do something
} else {
// Do something else
}
//2
class TestDatabase: Database {
var data: [String: CGFloat] = ["A": 1.2, "B": 3.2]
}
Not Preferred:
//1
if user.isHappy
{
// Do something
}
else {
// Do something else
}
//2
class TestDatabase : Database {
var data :[String:CGFloat] = ["A" : 1.2, "B":3.2]
}
Comments
When we are needed, we can use comments to explain why a particular piece of code does something. Comments must be kept up-to-date or deleted.
We should avoid block comments inline with code, as the code should be as self-documenting as possible.
Exception: This does not apply to those comments used to generate documentation.
We should also avoid the use of C-style comments (/* … */). We can prefer the use of double- or triple-slash.
Conclusion
In this note series, we understood about iOS Best Practices and Swift Coding Standards With Code Organization, Spacing and Comments. We discussed about iOS Swift based Code Organization, Spacing and Comments concepts which will helps to ensure our code as efficient, error-free, simple ,easy maintenance enabled and bug rectification.
Thanks for reading! I hope you enjoyed and learned about Code Organization, Spacing and Comments concepts in iOS Swift. Reading is one thing, but the only way to master it is to do it yourself.
Please follow and subscribe us on this blog and support us in any way possible. Also like and share the article with others for spread valuable knowledge.
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Hello Readers, CoolMonkTechie heartily welcomes you in A Short Note Series (iOS Best Practices And Swift Coding Standards With Naming Conventions).
In this note series, we will learn about iOS Best Practices and Swift Coding Standards With Naming Conventions. Coding standards act as a guideline for ensuring quality and continuity in iOS code. We will discuss about iOS best practices and swift coding standards with Naming Conventions which will helps to ensure our code as efficient, error-free, simple ,easy maintenance enabled and bug rectification.
So Let’s begin.
Overview of Naming Conventions
Descriptive and consistent naming makes code easier to read and understand. We can use the swift naming conventions described in the API Design Guidelines. Some key takeaways include:
Striving for clarity at the call site
Prioritizing clarity over brevity
Using camel case (not snake case)
Using uppercase for types (and protocols), lowercase for everything else
Including all needed words while omitting needless words
Using names based on roles, not types
Sometimes compensating for weak type information
Striving for fluent usage
Beginning factory methods with make
Naming methods for their side effects
Verb methods follow the -ed, -ing rule for the non-mutating version
Noun methods follow the formX rule for the mutating version
Boolean types should read like assertions
Protocols that describe what something is should read as nouns
Protocols that describe a capability should end in -able or -ible
Using terms that don’t surprise experts or confuse beginners
Generally avoiding abbreviations
Using precedent for names
Preferring methods and properties to free functions
Casing acronyms and initialisms uniformly up or down
Giving the same base name to methods that share the same meaning
Avoiding overloads on return type
Choosing good parameter names that serve as documentation
Preferring to name the first parameter instead of including its name in the method name, except as mentioned under Delegates
Labeling closure and tuple parameters
Taking advantage of default parameters
Prose
When we refer methods in prose, being unambiguous is critical. We can refer method name in the simplest form as possible.
Write method name with no parameters. Example: Next, we need to call addTarget.
Write method name with argument labels. Example: Next, we need to call addTarget(_:action:).
Write the full method name with argument labels and types. Example: Next, we need to call addTarget(_Any?,action:Selector?).
For example using UIGestureRecognizer, Write method name with no parameter is unambiguous and preferred. We can use Xcode’s jump bar to lookup methods with argument labels. We can put the cursor in the method name and press Shift-Control-Option-Command-C (all 4 modifier keys) and Xcode will kindly put the signature on our clipboard.
Delegates
When we create custom delegate methods, an unnamed first parameter should be the delegated source. UIkit contains numerous examples of custom delegates methods.
We can use compiler inferred context to write shorter, clear code.
Preferred:
let selector = #selector(viewDidLoad)
view.backgroundColor = .red
let toView = context.view(forKey: .to)
let view = UIView(frame: .zero)
Not Preferred:
let selector = #selector(ViewController.viewDidLoad)
view.backgroundColor = UIColor.red
let toView = context.view(forKey: UITransitionContextViewKey.to)
let view = UIView(frame: CGRect.zero)
Generics
Generic type parameters should be descriptive, upper camel case names. When a type name doesn’t have a meaningful relationship or role, use a traditional single uppercase letter such as T, U, or V.
Swift types are automatically namespaced by the module that contains them and we should not add a class prefix such as RW.
If two names from different modules collide, we can disambiguate by prefixing the type name with the module name. However, we can only specify the module name when there is possibility for confusion which should be rare.
import SomeModule
let myClass = MyModule.UsefulClass()
Language
We can use US English spelling to match Apple’s API.
Preferred:
let color = “red”
Not Preferred:
let colour = “red”
Conclusion
In this note series, we understood about iOS Best Practices and Swift Coding Standards With Naming Conventions. We discussed about Naming Conventions which will helps to ensure our code as efficient, error-free, simple ,easy maintenance enabled and bug rectification.
Thanks for reading! I hope you enjoyed and learned about Naming Conventions concepts in iOS. Reading is one thing, but the only way to master it is to do it yourself.
Please follow and subscribe us on this blog and support us in any way possible. Also like and share the article with others for spread valuable knowledge.
You can find Other articles of CoolmonkTechie as below link :
Hello Readers, CoolMonkTechie heartily welcomes you in this article (An Overview Of Strict Mode).
In this article, we will learn about Strict Mode in Android. Performing any kind of long blocking operations or disk IO operations on the Android Main thread can cause ANR (Application Not Responding) issues. We may not even realise that we have a potential ANR until it is too late and is already in our user’s hands. most of the cases, the library or framework which we are using in our application, will not allow us to perform disk operations on the main thread (Room for instance, makes it explicit when we want to turn it off).
So, how do we know and correct our mistakes done during android application development when the libraries or frameworks don’t explicitly prevent this kind of operation?
Android provides a Strict Mode developer tool for that.
To understand about the Strict Mode, we cover the below topics as below :
Overview
Strict Mode Policies
Different Ways to Notify Strict Mode
Enabling Strict Mode
Recommendations
A famous quote about learning is :
“If you live long enough, you’ll make mistakes. But if you learn from them, you’ll be a better person.“
So Let’s begin.
Overview
Strict Mode is a developer tool which detects things we might be doing by accident and brings them to our attention so we can fix them.
Best practice in Android says “keeping the disk and network operations off from the main thread makes applications much smoother and more responsive”. So StrictMode is use to catch the coding issues such as disk I/O or network access on the application’s main thread i.e. UI thread. By keeping our application’s main thread responsive, we also prevent ANR dialogs from being shown to users.
This is a debugging tool introduced in Android 2.3 (API level 9) but more features were added in Android 3.0.
StrictMode Policies
Strict Mode has two types of policies and each policy has various rules. Each policy also has various methods of showing when a rule is violated.
Thread Policy
Thread policies are focused on the things which is not recommended to do in main thread like disk or network operations. The Thread policy can monitor following violations:
Disk Reads
Disk Writes
Network access
Resource Mismatch
Custom Slow Code
VM Policy
VM policies are focused on memory leaks because of bad coding practices like forgot to close the SQLite cursor or leaks in Activities. The VM policy can monitor following violation:
Activity leaks
SQLite objects leaks
Closable objects leaks
Registration objects leaks
Class instance limit
File URL exposure
Different Ways to Notify Strict Mode
There are variety of different ways by which user/developer get to know when a rule you set has been violated. In terms of Strict Mode, it is known as Penalty.
Some of methods are listed below:
penaltyDeath(): Crash the whole process on violation.
penaltyDeathOnNetwork(): Crash the whole process on any network usage.
penaltyDialog(): Show an annoying dialog to the developer on detected violations.
penaltyFlashScreen(): Flash the screen during a violation.
penaltyLog(): Log detected violations to the system log.
Enabling Strict Mode
To enable and configure the Strict Mode in our application, we require to use setThreadPolicy() and setVmPolicy() methods of Strict Mode. It is a good practice to set policies either in Application , Activity or other application component’s Application.onCreate() method:
Now, we can decide what should happen when a violation is detected like in the above example we have used only penaltyLog() for Thread Policy but in the VM Policy we used penaltyLog() as well as penaltyDeath() to notify. We can watch the output of adb logcat while we use our application to see the violations as they happen.
Here is the example of penaltyLog() showing the logs which explains Strict Mode is warning us that we are using disk write operation on the main thread.
DEBUG/StrictMode(3134): StrictMode policy violation; ~duration=319 ms: android.os.StrictMode$StrictModeDiskWriteViolation: policy=31 violation=1
DEBUG/StrictMode(3134): at android.os.StrictMode$AndroidBlockGuardPolicy.onWriteToDisk(StrictMode.java:1041)
DEBUG/StrictMode(3134): at android.database.sqlite.SQLiteStatement.acquireAndLock(SQLiteStatement.java:219)
DEBUG/StrictMode(3134): at android.database.sqlite.SQLiteStatement.executeUpdateDelete(SQLiteStatement.java:83)
DEBUG/StrictMode(3134): at android.database.sqlite.SQLiteDatabase.updateWithOnConflict(SQLiteDatabase.java:1829)
DEBUG/StrictMode(3134): at android.database.sqlite.SQLiteDatabase.update(SQLiteDatabase.java:1780)
DEBUG/StrictMode(3134): at com.test.data.MainActivity.update(MainActivity.java:87)
Recommendations
If we find violations that we feel are problematic, there are a variety of tools to help solve them: threads, Handler, AsyncTask, IntentService, etc. But don’t feel compelled to fix everything that Strict Mode finds. In particular, many cases of disk access are often necessary during the normal activity lifecycle. Use Strict Mode to find things we did by accident. Network requests on the UI thread are almost always a problem, though.
It is not a security mechanism and is not guaranteed to find all disk or network accesses. While it does propagate its state across process boundaries when doing Binder calls, it’s still ultimately a best effort mechanism. Notably, disk or network access from JNI calls won’t necessarily trigger it.
Many of violations are not related to our application. We want to suppress these violations. For example- DiskRead checking (or suppress any other checkingof StrictMode that is it violating). Here, we want to do following things in function:
Turn off the Strict Mode checking
Running the function or the parameterized block of code
Turn on the original Strict Mode checking
The function looks like the below:
fun permitDiskReads(func: () -> Any?) : Any? {
if (BuildConfig.DEBUG) {
val oldThreadPolicy = StrictMode.getThreadPolicy()
StrictMode.setThreadPolicy(
StrictMode.ThreadPolicy.Builder(oldThreadPolicy)
.permitDiskReads().build())
val anyValue = func()
StrictMode.setThreadPolicy(oldThreadPolicy)
return anyValue
} else {
return func()
}
}
The above example, we are just suppressing the detectDiskReads(), we could perform other suppression if required. it‘s not only running the function, but returning Any value (i.e. nothing or something if we don’t know what Any means) the function might return.
This is useful when the code that we want to suppress the check might be a function that returns something. For example, we have a SampleManager.getInstance() that also have some disk reads violation we want to suppress. So we could do as below:
val sampleManager =
permitDiskReads { SampleManager.getInstance() } as SampleManager
That’s all about in this article.
Conclusion
In this article, we understood about about Strict Mode in Android. This article explained about Strict Mode which is a very useful tool to find and fix performance issues, object leaks, and other hard-to-find runtime issues for Android developers. We may think that we are doing everything off the main thread, but sometimes small things can creep in and cause these issues. It helps keep our applications in check and should definitely be enabled whilst developing our applications.
Thanks for reading! I hope you enjoyed and learned about Strict Modeconcepts in Android. Reading is one thing, but the only way to master it is to do it yourself.
Please follow and subscribe to the blog and support us in any way possible. Also like and share the article with others for spread valuable knowledge.
You can find other articles of CoolMonkTechie as below link :
Hello Readers, CoolMonkTechie heartily welcomes you in this article (An Overview Of Memory Safety In Swift) .
In this article, we will learn about an overview of Memory Safety in Swift. Swift handles most memory safety automatically, to avoid conflicts. However, certain functions may cause conflicts and will either cause compile time or runtime errors. This article reviews the access conflict to memory (like In-Out Parameters, self in Methods and Properties) in swift.
A famous quote about learning is :
” One learns from books and example only that certain things can be done. Actual learning requires that you do those things.”
So Let’s begin.
Memory Safety Overview
Swift monitors risky behaviour that may occur in the code. For example, Swift ensures that variables are introduced before they’re utilized, likewise, memory isn’t accessed once its deallocated, and array indices are checked for out-of-bounds errors.
Swift also makes sure that multiple accesses to the same area of memory don’t conflict, by requiring code that modifies a location in memory to have exclusive access to that memory. Because Swift manages memory automatically, most of the time we don’t have to think about accessing memory at all. However, it’s important to understand where potential conflicts can occur, so we can avoid writing code that has conflicting access to memory. If our code does contain conflicts, we’ll get a compile-time or runtime error.
Understanding Conflicting Access to Memory
Memory access happens in our code when we do things like set the value of a variable or pass an argument to a function. For example, the following code contains both a read access and a write access:
// A write access to the memory where one is stored.
var one = 1
// A read access from the memory where one is stored.
print("We're number \(one)!")
A conflicting access to memory can occur when different parts of our code are trying to access the same location in memory at the same time. Multiple accesses to a location in memory at the same time can produce unpredictable or inconsistent behavior. In Swift, there are ways to modify a value that span several lines of code, making it possible to attempt to access a value in the middle of its own modification.
We can see a similar problem by thinking about how we update a budget that’s written on a piece of paper. Updating the budget is a two-step process: First, we add the items’ names and prices, and then we change the total amount to reflect the items currently on the list. Before and after the update, we can read any information from the budget and get a correct answer, as shown in the figure below.
While we’re adding items to the budget, it’s in a temporary, invalid state because the total amount hasn’t been updated to reflect the newly added items. Reading the total amount during the process of adding an item gives us incorrect information.
This example also demonstrates a challenge we may encounter when fixing conflicting access to memory: There are sometimes multiple ways to fix the conflict that produce different answers, and it’s not always obvious which answer is correct. In this example, depending on whether we wanted the original total amount or the updated total amount, either $5 or $320 could be the correct answer. Before we can fix the conflicting access, we have to determine what it was intended to do.
” If we’ve written concurrent or multithreaded code, conflicting access to memory might be a familiar problem. However, the conflicting access discussed here can happen on a single thread and doesn’t involve concurrent or multithreaded code. ”
” If we have conflicting access to memory from within a single thread, Swift guarantees that we’ll get an error at either compile time or runtime. For multithreaded code, use Thread Sanitizer to help detect conflicting access across threads. “
Characteristics of Memory Access
There are three characteristics of memory access to consider in the context of conflicting access: whether the access is a read or a write, the duration of the access, and the location in memory being accessed. Specifically, a conflict occurs if we have two accesses that meet all of the following conditions:
At least one is a write access or a nonatomic access.
They access the same location in memory.
Their durations overlap.
The difference between a read and write access is usually obvious: a write access changes the location in memory, but a read access doesn’t. The location in memory refers to what is being accessed—for example, a variable, constant, or property. The duration of a memory access is either instantaneous or long-term.
An operation is atomic if it uses only C atomic operations; otherwise it’s nonatomic. An access is instantaneous if it’s not possible for other code to run after that access starts but before it ends. By their nature, two instantaneous accesses can’t happen at the same time. Most memory access is instantaneous. For example, all the read and write accesses in the code listing below are instantaneous:
func oneMore(than number: Int) -> Int {
return number + 1
}
var myNumber = 1
myNumber = oneMore(than: myNumber)
print(myNumber)
// Prints "2"
However, there are several ways to access memory, called long-term accesses, that span the execution of other code. The difference between instantaneous access and long-term access is that it’s possible for other code to run after a long-term access starts but before it ends, which is called overlap. A long-term access can overlap with other long-term accesses and instantaneous accesses.
Overlapping accesses appear primarily in code that uses in-out parameters in functions and methods or mutating methods of a structure.
Conflicting Access to In-Out Parameters
In this section, we will discuss the specific kinds of Swift code that use long-term accesses. A function has long-term write access to all of its in-out parameters. The write access for an in-out parameter starts after all of the non-in-out parameters have been evaluated and lasts for the entire duration of that function call. If there are multiple in-out parameters, the write accesses start in the same order as the parameters appear.
One consequence of this long-term write access is that we can’t access the original variable that was passed as in-out, even if scoping rules and access control would otherwise permit it—any access to the original creates a conflict. For example:
var stepSize = 1
func increment(_ number: inout Int) {
number += stepSize
}
increment(&stepSize)
// Error: conflicting accesses to stepSize
In the code above, stepSize is a global variable, and it is normally accessible from within increment(_:). However, the read access to stepSize overlaps with the write access to number.
As shown in the figure above, both number and stepSize refer to the same location in memory. The read and write accesses refer to the same memory and they overlap, producing a conflict.
One way to solve this conflict is to make an explicit copy of stepSize:
When we make a copy of stepSize before calling increment(_:), it’s clear that the value of copyOfStepSize is incremented by the current step size. The read access ends before the write access starts, so there isn’t a conflict.
Another consequence of long-term write access to in-out parameters is that passing a single variable as the argument for multiple in-out parameters of the same function produces a conflict. For example:
func balance(_ x: inout Int, _ y: inout Int) {
let sum = x + y
x = sum / 2
y = sum - x
}
var playerOneScore = 42
var playerTwoScore = 30
balance(&playerOneScore, &playerTwoScore) // OK
balance(&playerOneScore, &playerOneScore)
// Error: conflicting accesses to playerOneScore
In the above code, the balance(_:_:) function modifies its two parameters to divide the total value evenly between them. Calling it with playerOneScore and playerTwoScore as arguments doesn’t produce a conflict—there are two write accesses that overlap in time, but they access different locations in memory. In contrast, passing playerOneScore as the value for both parameters produces a conflict because it tries to perform two write accesses to the same location in memory at the same time.
Because operators are functions, they can also have long-term accesses to their in-out parameters. For example, if balance(_:_:) was an operator function named <^>, writing playerOneScore <^> playerOneScore would result in the same conflict as balance(&playerOneScore, &playerOneScore).
Conflicting Access to self in Methods
A mutating method on a structure has write access to self for the duration of the method call. For example, consider a game where each player has a health amount, which decreases when taking damage, and an energy amount, which decreases when using special abilities.
struct Player {
var name: String
var health: Int
var energy: Int
static let maxHealth = 10
mutating func restoreHealth() {
health = Player.maxHealth
}
}
In the restoreHealth() method above, a write access to self starts at the beginning of the method and lasts until the method returns. In this case, there’s no other code inside restoreHealth() that could have an overlapping access to the properties of a Player instance. The shareHealth(with:) method below takes another Player instance as an in-out parameter, creating the possibility of overlapping accesses.
extension Player {
mutating func shareHealth(with teammate: inout Player) {
balance(&teammate.health, &health)
}
}
var oscar = Player(name: "Oscar", health: 10, energy: 10)
var maria = Player(name: "Maria", health: 5, energy: 10)
oscar.shareHealth(with: &maria) // OK
In the example above, calling the shareHealth(with:) method for Oscar’s player to share health with Maria’s player doesn’t cause a conflict. There’s a write access to oscar during the method call because oscar is the value of self in a mutating method, and there’s a write access to maria for the same duration because maria was passed as an in-out parameter. As shown in the figure below, they access different locations in memory. Even though the two write accesses overlap in time, they don’t conflict.
However, if we pass oscar as the argument to shareHealth(with:), there’s a conflict:
oscar.shareHealth(with: &oscar)
// Error: conflicting accesses to oscar
The mutating method needs write access to self for the duration of the method, and the in-out parameter needs write access to teammate for the same duration. Within the method, both self and teammate refer to the same location in memory—as shown in the figure below. The two write accesses refer to the same memory and they overlap, producing a conflict.
Conflicting Access to Properties
Types like structures, tuples, and enumerations are made up of individual constituent values, such as the properties of a structure or the elements of a tuple. Because these are value types, mutating any piece of the value mutates the whole value, meaning read or write access to one of the properties requires read or write access to the whole value. For example, overlapping write accesses to the elements of a tuple produces a conflict:
var playerInformation = (health: 10, energy: 20)
balance(&playerInformation.health, &playerInformation.energy)
// Error: conflicting access to properties of playerInformation
In the example above, calling balance(_:_:) on the elements of a tuple produces a conflict because there are overlapping write accesses to playerInformation. Both playerInformation.health and playerInformation.energy are passed as in-out parameters, which means balance(_:_:) needs write access to them for the duration of the function call. In both cases, a write access to the tuple element requires a write access to the entire tuple. This means there are two write accesses to playerInformation with durations that overlap, causing a conflict.
The code below shows that the same error appears for overlapping write accesses to the properties of a structure that’s stored in a global variable.
In practice, most access to the properties of a structure can overlap safely. For example, if the variable holly in the example above is changed to a local variable instead of a global variable, the compiler can prove that overlapping access to stored properties of the structure is safe:
func someFunction() {
var oscar = Player(name: "Oscar", health: 10, energy: 10)
balance(&oscar.health, &oscar.energy) // OK
}
In the example above, Oscar’s health and energy are passed as the two in-out parameters to balance(_:_:). The compiler can prove that memory safety is preserved because the two stored properties don’t interact in any way.
The restriction against overlapping access to properties of a structure isn’t always necessary to preserve memory safety. Memory safety is the desired guarantee, but exclusive access is a stricter requirement than memory safety—which means some code preserves memory safety, even though it violates exclusive access to memory. Swift allows this memory-safe code if the compiler can prove that the nonexclusive access to memory is still safe. Specifically, it can prove that overlapping access to properties of a structure is safe if the following conditions apply:
We’re accessing only stored properties of an instance, not computed properties or class properties.
The structure is the value of a local variable, not a global variable.
The structure is either not captured by any closures, or it’s captured only by non-escaping closures.
If the compiler can’t prove the access is safe, it doesn’t allow the access.
That’s all about in this article.
Conclusion
In this article, we understood an overview of Memory Safety in Swift. This article reviewed the access conflict to memory (like In-Out Parameters, self in Methods and Properties) in swift.
Thanks for reading! I hope you enjoyed and learned about Memory Safety Concepts in Swift. Reading is one thing, but the only way to master it is to do it yourself.
Please follow and subscribe us on this blog and support us in any way possible. Also like and share the article with others for spread valuable knowledge.
You can find Other articles of CoolmonkTechie as below link :
Hello Readers, CoolMonkTechie heartily welcomes you in this article (An Overview Of Jetpack DataStore).
In this article, we will learn about Google’s new library Jetpack DataStore in Android. JetpackDataStore is Google’s new library to persist data as key-value pairs or typed objects using protocol buffers. Using Kotlin coroutines and Flow as its foundation, it aims to replace SharedPreferences. This is part of the Jetpack suite of libraries. This article explains about Jetpack DataStore types implementations and address the limitations of the SharedPreferences API in Android.
To understand the Jetpack DataStore, we cover the below topics as below :
Overview
Limitation of SharedPreferences
Types of Jetpack DataStore Implementations
Jetpack DataStore Setup
Store key-value pairs with Preferences DataStore
Store typed objects with Proto DataStore
Use Jetpack DataStore in synchronous code
A famous quote about learning is :
“One learns from books and example only that certain things can be done. Actual learning requires that you do those things.”
So Let’s begin.
Overview
Jetpack DataStore is a data storage solution that allows us to store key-value pairs or typed objects with protocol buffers. DataStore uses Kotlin coroutines and Flow to store data asynchronously, consistently, and transactionally. Google introduced DataStore to address the limitations in the SharedPreferences API.
Limitation of SharedPreferences
To understand the DataStore’s advantages, we need to know about the limitations of SharedPreferences API. Even though SharedPreferences has been around since API level 1, it has drawbacks that have persisted over time:
SharedPreferences is not always safe call on the UI thread. It can cause junk by blocking the UI thread.
There is no way for SharedPreferences to signal errors except for parsing errors as runtime exceptions.
SharedPreferences has no support for data migration. If we want to change the type of a value, we have to write the entire logic manually.
SharedPreferences doesn’t provide type safety. Application will compile fine If we try to store both Booleans and Integers using the same key.
Google introduced DataStore to address the above limitations.
Types of Jetpack DataStore Implementations
DataStore provides two different implementations: Preferences DataStore and Proto DataStore.
Preferences DataStore: Stores and accesses data using keys. This implementation does not require a predefined schema, and it does not provide type safety. This is similar to SharedPreferences. We use this to store and retrieve primitive data types.
Proto DataStore: Uses protocol buffers to store custom data types. When using Proto DataStore, we need to define a schema for the custom data type.
SharedPreferences uses XML to store data. As the amount of data increases, the file size increases dramatically and it’s more expensive for the CPU to read the file.
Protocol buffers are a new way to represent structured data that’s faster and than XML and has a smaller size. They’re helpful when the read-time of stored data affects the performance of our application.
Jetpack DataStore Setup
To use Jetpack DataStore in application, we add the following dependencies to Gradle file depending on which implementation we want to use:
Datastore Typed
// Typed DataStore (Typed API surface, such as Proto)
dependencies {
implementation("androidx.datastore:datastore:1.0.0")
// optional - RxJava2 support
implementation("androidx.datastore:datastore-rxjava2:1.0.0")
// optional - RxJava3 support
implementation("androidx.datastore:datastore-rxjava3:1.0.0")
}
// Alternatively - use the following artifact without an Android dependency.
dependencies {
implementation("androidx.datastore:datastore-core:1.0.0")
}
Datastore Preferences
// Preferences DataStore (SharedPreferences like APIs)
dependencies {
implementation("androidx.datastore:datastore-preferences:1.0.0")
// optional - RxJava2 support
implementation("androidx.datastore:datastore-preferences-rxjava2:1.0.0")
// optional - RxJava3 support
implementation("androidx.datastore:datastore-preferences-rxjava3:1.0.0")
}
// Alternatively - use the following artifact without an Android dependency.
dependencies {
implementation("androidx.datastore:datastore-preferences-core:1.0.0")
}
If we use the datastore-preferences-core artifact with Proguard, we must manually add Proguard rules to our proguard-rules.pro file to keep our fields from being deleted.
Store key-value pairs with Preferences DataStore
The Preferences DataStore implementation uses the DataStore and Preferences classes to persist simple key-value pairs to disk.
Create a Preferences DataStore
// At the top level of our kotlin file:
val Context.dataStore: DataStore<Preferences> by preferencesDataStore(name = "settings")
Use the property delegate created by preferencesDataStore to create an instance of Datastore<Preferences>. Call it once at the top level of kotlin file, and access it through this property throughout the rest of application. This makes it easier to keep DataStore as singleton.
Read from a Preferences DataStore
val EXAMPLE_COUNTER = intPreferencesKey("example_counter")
val exampleCounterFlow: Flow<Int> = context.dataStore.data
.map { preferences ->
// No type safety.
preferences[EXAMPLE_COUNTER] ?: 0
}
Because Preferences DataStore does not use a predefined schema, we must use the corresponding key type function to define a key for each value that we need to store in the DataStore<Preferences> instance.
Preferences DataStore provides an edit() function that transactionally updates the data in a DataStore. The function’s transform parameter accepts a block of code where we can update the values as needed. All of the code in the transform block is treated as a single transaction.
Store typed objects with Proto DataStore
The Proto DataStore implementation uses DataStore and protocol buffers to persist typed objects to disk.
Define a schema
Proto DataStore requires a predefined schema in a proto file in the app/src/main/proto/ directory. This schema defines the type for the objects that we persist in our Proto DataStore.
The class for our stored objects is generated at compile time from the message defined in the proto file. Make sure we rebuild our project.
Create a Proto DataStore
There are two steps involved in creating a Proto DataStore to store typed objects:
Step 1 : Define a class that implements Serializer<T>, where T is the type defined in the proto file. This serializer class tells DataStore how to read and write data type. Make sure we include a default value for the serializer to be used if there is no file created yet.
Step 2 : Use the property delegate created by dataStore to create an instance of DataStore<T>, where T is the type defined in the proto file. Call this once at the top level of kotlin file and access it through this property delegate throughout the rest of application. The filename parameter tells DataStore which file to use to store the data, and the serializer parameter tells DataStore the name of the serializer class defined in step 1.
We use DataStore.datato expose a Flow of the appropriate property from our stored object.
val exampleCounterFlow: Flow<Int> = context.settingsDataStore.data
.map { settings ->
// The exampleCounter property is generated from the proto schema.
settings.exampleCounter
}
Write to a Proto DataStore
Proto DataStore provides an updateData() function that transactionally updates a stored object. updateData() gives us the current state of the data as an instance of our data type and updates the data transactionally in an atomic read-write-modify operation.
Asynchronous API is one of the primary benefits of DataStore. It may not always be feasible to change our surrounding code to be asynchronous. This might be the case if we’re working with an existing codebase that uses synchronous disk I/O or if we have a dependency that doesn’t provide an asynchronous API.
Kotlin coroutines provide the runBlocking() coroutine builder to help bridge the gap between synchronous and asynchronous code. We can use runBlocking() to read data from DataStore synchronously. RxJava offers blocking methods on Flowable. The following code blocks the calling thread until DataStore returns data:
val exampleData = runBlocking { context.dataStore.data.first() }
Performing synchronous I/O operations on the UI thread can cause ANRs or UI junk. We can mitigate these issues by asynchronously preloading the data from DataStore:
override fun onCreate(savedInstanceState: Bundle?) {
lifecycleScope.launch {
context.dataStore.data.first()
// You should also handle IOExceptions here.
}
}
This way, DataStore asynchronously reads the data and caches it in memory. Later synchronous reads using runBlocking() may be faster or may avoid a disk I/O operation altogether if the initial read has completed.
That’s all about in this article.
Conclusion
In this article, we understood about Google’s new library Jetpack DataStore in Android. This article explained about Jetpack DataStore types implementations and address the limitations of the SharedPreferences API in Android.
Thanks for reading! I hope you enjoyed and learned about Jetpack DataStoreconcepts in Android. Reading is one thing, but the only way to master it is to do it yourself.
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