ArkTS Migration Background
This chapter explains why it makes sense to migrate from the standard TypeScript to ArkTS. In general, there are two reasons for doing this:
Program Stability
Dynamically typed languages like JavaScript are very good at allowing programs to write code fast. At the same time, these languages are
notorious for unexpected runtime errors. For example, a developer may forget to check some value for undefined, and as a result of this, the program may crash, which causes inconvenience to the users. Detecting such issues during development time would be much more beneficial. TypeScript helps greatly here: It allows to annotate the code with types, and many errors will be detected by the compiler, prior to deployment and usage of the code. However, even TypeScript has limitations and sometimes permits to annotate the code with types “loosely”, which still leaves a gap for runtime errors. ArkTS tries to overcome this drawback: It enforces static typing for even stricter type checking and less runtime errors.
The following case demonstrates how we can improve stability and correctness of our code by enforcing stricter type checking in ArkTS.
Explicit Initialization of Fields for Better Stability
ArkTS requires that all fields are explicitly initialized with some values either when the field is declared or in the constructor. This is similar to strictPropertyInitialization mode of the standard TypeScript.
Let’s take a look at the following TypeScript code:
class Person {
name: string // undefined
setName(n: string): void {
this.name = n
}
getName(): string {
// Return type "string" hides from the developers the fact that name can be undefined.
// The most correct would be to write the return type as "string | undefined". By doing so
// we tell the users of our API about all possible return values.
return this.name
}
}
let buddy = new Person()
// Let's assume that the developer forgets to call setName:
// buddy.setName("John")
buddy.getName().length; // runtime exception: name is undefined
Since ArkTS requires explicit initialization, the code looks like this:
class Person {
name: string = ''
setName(n: string): void {
this.name = n
}
// The type is string in all cases, null and undefined are impossible.
getName(): string {
return this.name
}
}
let buddy = new Person()
// Let's assume that the developer forgets to call setName:
// buddys.setName("John")
buddy.getName().length; // 0, no runtime error
If name can be undefined, this is also should be specified explicitly:
class Person {
name ?: string // The field may be undefined
setName(n: string): void {
this.name = n
}
// Compile-time error:
// name can be "undefined", so we cannot say to those who use this API
// that it returns only strings:
getNameWrong(): string {
return this.name
}
getName(): string | undefined { // Return type matches the type of name
return this.name
}
}
let buddy = new Person()
// Let's assume that the developer forgets to call setName:
// buddy.setName("John")
// Compile-time(!) error: Compiler suspects that we
// may possibly access something undefined and won't build the code:
buddy.getName().length; // The code won't build and run
buddy.getName()?.length; // Builds ok, no runtime error
Program Performance
To ensure correctness of the program, dynamically languages have to check actual types of objects when the program actually runs. Back to our example, JavaScript does not allow to read a property from undefined. But the only way to check if some value is undefined is to perform a runtime check, that all JavaScript engines do: if the value is not undefined, the property is read, otherwise an exception is thrown. Modern engines can optimize such checks greatly, but these checks cannot be eliminated completely, which leads to code slowdown. Since the standard TypeScript compiles to JavaScript, the code written in TypeScript has exactly the same issues as described above. ArkTS addresses this problem. Since static typing is enforced, ArkTS compiles the program not to JavaScript, but to ARK bytecode, which is faster to execute and easier to optimize even further.
Null Safety
Let’s take a look at the following code:
function notify(who: string, what: string) {
console.log(`Dear ${who}, a message for you: ${what}`)
}
notify('Jack', 'You look great today')
In most cases, the notify function will take two string variables as an input and produces a new string. However, what if we pass some “special” values to the function, for example notify(null, undefined)? The program will continue to work, the output will be as expected (Dear null, a message for you: undefined), so from the first glance everything is fine. But please note that the engine that runs our code should always check for such special cases to ensure correct behavior. In pseudocode, something like this happens:
function __internal_tostring(s: any): string {
if (typeof s === 'string')
return s
if (s === undefined)
return 'undefined'
if (s === null)
return 'null'
// ...
}
Now imagine that our notify function is a part of some complex heavy-loaded system which sends real notifications instead of just writing to the log. In
this scenario, executing all these checks from our __internal_tostring function may turn into a performance problem.
But what if we could somehow guarantee to our exectuion engine that the only values that are passed to the notify function are “real” strings, but not
some “special” values like null or undefined? In this case, checks like __internal_tostring become redundant because when we execute the program
we are 100% sure that there will be no corner cases. For this particular case this mechanism would be called “null-safety”, i.e. guarantee that null is
not a valid value of the string type. If we had such feature, the code would not simply build:
function notify(who: string, what: string) {
console.log(`Dear ${who}, a message for you: ${what}`)
}
notify('Jack', 'You look great today')
notify(null, undefined) // Compile-time error
In TypeScript such behavior can be turned on by a special compiler flag called strictNullChecks. But since the standard TypeScript is compiled to JavaScript, which does not have such feature, “strict null checks” work only in compile-time, for better type checking. However, ArkTS considers null-safety a very
important feature from both stability and performance points of view. That’s why it is enforced in the language and the example above always produces
compile-time errors. In exchange, we give our running engine much more information and guarantees about possible type values, which helps better optimize performance.
.ets Code Compatibility
Prior to API version 10, ArkTS (.ets file) completely adopted the syntax of standard TS. Since API version 10, the ArkTS syntax rules are clearly defined based on the preceding design considerations. In addition, the SDK adds the ArkTS syntax validation for .ets files to the compilation process, and prompts you to adapt to the new ArkTS syntax through warnings or errors.
Syntax issues are classified as warning or error, depending on the compatibleSdkVersion of the project:
- In compatible mode, where the value of compatibleSdkVersion is greater than or equal to 10, syntax issues are reported as errors and will block the compilation process. The compilation can be successful only after the ArkTS syntax is fully adapted.
- In compatible mode, where the value of compatibleSdkVersion is smaller than 10, syntax issues are reported as warnings and will not block the compilation process.
ArkCompiler Runtime Compatibility with TS/JS
The OpenHarmony SDK of API version 11 uses TypeScript 4.9.5, with the target field of es2017. In the application, you can use the syntax of ECMA2017+ for TS/JS development.
Application Environment Restrictions
- Force the use of strict mode (use strict)
- Prohibit the use of
eval() - Prohibit the use of
with() {} - Prohibit creating functions with strings as code
Differences from Standard TS/JS
In standard TS/JS, the number format of JSON, the decimal point must be followed by a number. Scientific notation such as 2.e3 is not allowed and throws SyntaxError. In the ArkCompiler Runtime, this type of scientific notation is allowed.