TypeScript is a typed language that allows you to specify the type of variables, function parameters, returned values, and object properties.
Here an advanced TypeScript Types cheat sheet with examples.
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Intersection Types
An intersection type is a way of combining multiple types into one. Meaning that you can merge a given type A with a type B or more and get back a single type with all properties.
type LeftType = {
id: number
left: string
}
type RightType = {
id: number
right: string
}
type IntersectionType = LeftType & RightType
function showType(args: IntersectionType) {
console.log(args)
}
showType({ id: 1, left: "test", right: "test" })
// Output: {id: 1, left: "test", right: "test"}
As you can see, IntersectionType
combines two types - LeftType
and RightType
and use the &
sign to construct the intersection type.
Union Types
Union types allow you to have different types annotation within a given variable.
type UnionType = string | number
function showType(arg: UnionType) {
console.log(arg)
}
showType("test")
// Output: test
showType(7)
// Output: 7
The function showType
is a union type that accepts both strings and numbers as a parameter.
Generic Types
A generic type is a way of reusing part of a given type. It helps to capture the type T
passed in as a parameter.
function showType<T>(args: T) {
console.log(args)
}
showType("test")
// Output: "test"
showType(1)
// Output: 1
To construct a generic type, you need to use the brackets and pass T
as a parameter.
Here, I use T
(the name is up to you) and then, call the function showType
twice with different type annotations because it's generic - it can be reused.
interface GenericType<T> {
id: number
name: T
}
function showType(args: GenericType<string>) {
console.log(args)
}
showType({ id: 1, name: "test" })
// Output: {id: 1, name: "test"}
function showTypeTwo(args: GenericType<number>) {
console.log(args)
}
showTypeTwo({ id: 1, name: 4 })
// Output: {id: 1, name: 4}
Here, we have another example that has an interface GenericType
which receives a generic type T
. And since it's reusable, we can call it with first a string, and then a number.
interface GenericType<T, U> {
id: T
name: U
}
function showType(args: GenericType<number, string>) {
console.log(args)
}
showType({ id: 1, name: "test" })
// Output: {id: 1, name: "test"}
function showTypeTwo(args: GenericType<string, string[]>) {
console.log(args)
}
showTypeTwo({ id: "001", name: ["This", "is", "a", "Test"] })
// Output: {id: "001", name: Array["This", "is", "a", "Test"]}
A generic type can receive several arguments. Here, we pass in two parameters: T
and U
, and then use them as type annotations for the properties. That said, we can now use the interface and provide different types as argument.
Utility Types
TypeScript provides handy built-in utilities that help to manipulate types easily. To use them, you need to pass into the <>
the type you want to transform.
Partial
Partial<T>
Partial allows you to make all properties of the type T
optional. It will add a ?
mark next to every field.
interface PartialType {
id: number
firstName: string
lastName: string
}
function showType(args: Partial<PartialType>) {
console.log(args)
}
showType({ id: 1 })
// Output: {id: 1}
showType({ firstName: "John", lastName: "Doe" })
// Output: {firstName: "John", lastName: "Doe"}
As you can see, we have an interface PartialType
which is used as type annotation for the parameters received by the function showType()
. And to make the properties optional, we have to use the Partial
keyword and pass in the type PartialType
as an argument. That said, now all fields become optional.
Required
Required<T>
Unlike Partial
, the Required
utility makes all properties of the type T
required.
interface RequiredType {
id: number
firstName?: string
lastName?: string
}
function showType(args: Required<RequiredType>) {
console.log(args)
}
showType({ id: 1, firstName: "John", lastName: "Doe" })
// Output: { id: 1, firstName: "John", lastName: "Doe" }
showType({ id: 1 })
// Error: Type '{ id: number: }' is missing the following properties from type 'Required<RequiredType>': firstName, lastName
The Required
utility will make all properties required even if we make them optional first before using the utility. And if a property is omitted, TypeScript will throw an error.
Readonly
Readonly<T>
This utility type will transform all properties of the type T
in order to make them not reassignable with a new value.
interface ReadonlyType {
id: number
name: string
}
function showType(args: Readonly<ReadonlyType>) {
args.id = 4
console.log(args)
}
showType({ id: 1, name: "Doe" })
// Error: Cannot assign to 'id' because it is a read-only property.
Here, we use the utility Readonly
to make the properties of ReadonlyType
not reassignable. That said, if you try to give a new value to one of these fields, an error will be thrown.
Besides that, you can also use the keyword readonly
in front of a property to make it not reassignable.
interface ReadonlyType {
readonly id: number
name: string
}
Pick
Pick<T, K>
It allows you to create a new type from an existing model T
by selecting some properties K
of that type.
interface PickType {
id: number
firstName: string
lastName: string
}
function showType(args: Pick<PickType, "firstName" | "lastName">) {
console.log(args)
}
showType({ firstName: "John", lastName: "Doe" })
// Output: {firstName: "John"}
showType({ id: 3 })
// Error: Object literal may only specify known properties, and 'id' does not exist in type 'Pick<PickType, "firstName" | "lastName">'
Pick
is a bit different from the previous utilities we have already seen. It expects two parameters - T
is the type you want to pick elements from and K
which is the property you want to select. You can also pick multiple fields by separating them with a pipe(|
) symbol.
Omit
Omit<T, K>
The Omit
utility is the opposite of the Pick
type. And instead of selecting elements, it will remove K
properties from the type T
.
interface PickType {
id: number
firstName: string
lastName: string
}
function showType(args: Omit<PickType, "firstName" | "lastName">) {
console.log(args)
}
showType({ id: 7 })
// Output: {id: 7}
showType({ firstName: "John" })
// Error: Object literal may only specify known properties, and 'firstName' does not exist in type 'Pick<PickType, "id">'
This utility is similar to the way Pick
works. It expects the type and the properties to omit from that type.
Extract
Extract<T, U>
Extract
allows you to construct a type by picking properties that are present in two different types. The utility will extract from T
all properties that are assignable to U
.
interface FirstType {
id: number
firstName: string
lastName: string
}
interface SecondType {
id: number
address: string
city: string
}
type ExtractType = Extract<keyof FirstType, keyof SecondType>
// Output: "id"
Here, we have two types that have in common the property id
. And hence by using the Extract
keyword, we get back the field id
since it's present in both interfaces. And if you have more than one shared field, the utility will extract all similar properties.
Exclude
Unlike Extract
, the Exclude
utility will construct a type by excluding properties that are already present in two different types. It excludes from T
all fields that are assignable to U
.
interface FirstType {
id: number
firstName: string
lastName: string
}
interface SecondType {
id: number
address: string
city: string
}
type ExcludeType = Exclude<keyof FirstType, keyof SecondType>
// Output; "firstName" | "lastName"
As you can see here, the properties firstName
and lastName
are assignable to the SecondType
type since they are not present there. And by using the Extract
keyword, we get back these fields as expected.
Record
Record<K,T>
This utility helps you to construct a type with a set of properties K
of a given type T
. Record
is really handy when it comes to mapping the properties of a type to another one.
interface EmployeeType {
id: number
fullname: string
role: string
}
let employees: Record<number, EmployeeType> = {
0: { id: 1, fullname: "John Doe", role: "Designer" },
1: { id: 2, fullname: "Ibrahima Fall", role: "Developer" },
2: { id: 3, fullname: "Sara Duckson", role: "Developer" },
}
// 0: { id: 1, fullname: "John Doe", role: "Designer" },
// 1: { id: 2, fullname: "Ibrahima Fall", role: "Developer" },
// 2: { id: 3, fullname: "Sara Duckson", role: "Developer" }
The way Record
works is relatively simple. Here, it expects a number
as a type which is why we have 0, 1, and 2 as keys for the employees
variable. And if you try to use a string as a property, an error will be thrown. Next, the set of properties is given by EmployeeType
hence the object with the fields id, fullName, and role.
NonNullable
NonNullable<T>
It allows you to remove null
and undefined
from the type T
.
type NonNullableType = string | number | null | undefined
function showType(args: NonNullable<NonNullableType>) {
console.log(args)
}
showType("test")
// Output: "test"
showType(1)
// Output: 1
showType(null)
// Error: Argument of type 'null' is not assignable to parameter of type 'string | number'.
showType(undefined)
// Error: Argument of type 'undefined' is not assignable to parameter of type 'string | number'.
Here, we pass the type NonNullableType
as an argument to the NonNullable
utility which constructs a new type by excluding null
and undefined
from that type. That said, if you pass a nullable value, TypeScript will throw an error.
By the way, if you add the --strictNullChecks
flag to the tsconfig
file, TypeScript will apply non-nullability rules.
Mapped types
Mapped types allow you to take an existing model and transform each of its properties into a new type. Note that some utility types covered earlier are also mapped types.
type StringMap<T> = {
[P in keyof T]: string
}
function showType(arg: StringMap<{ id: number; name: string }>) {
console.log(arg)
}
showType({ id: 1, name: "Test" })
// Error: Type 'number' is not assignable to type 'string'.
showType({ id: "testId", name: "This is a Test" })
// Output: {id: "testId", name: "This is a Test"}
StringMap<>
will transform whatever types that passed in into a string. That said, if we use it in the function showType()
, the parameters received must be a string - otherwise, an error will be thrown by TypeScript.
Type Guards
Type Guards allow you to check the type of a variable or an object with an operator. It's a conditional block that returns a type using typeof
, instanceof
, or in
.
typeof
function showType(x: number | string) {
if (typeof x === "number") {
return `The result is ${x + x}`
}
throw new Error(`This operation can't be done on a ${typeof x}`)
}
showType("I'm not a number")
// Error: This operation can't be done on a string
showType(7)
// Output: The result is 14
As you can see, we have a normal JavaScript conditional block that checks the type of the argument received with typeof
. With that in place, you can now guard your type with this condition.
instanceof
class Foo {
bar() {
return "Hello World"
}
}
class Bar {
baz = "123"
}
function showType(arg: Foo | Bar) {
if (arg instanceof Foo) {
console.log(arg.bar())
return arg.bar()
}
throw new Error("The type is not supported")
}
showType(new Foo())
// Output: Hello World
showType(new Bar())
// Error: The type is not supported
Like the previous example, this one is also a type guard that checks if the parameter received is part of the Foo
class or not and handles it consequently.
in
interface FirstType {
x: number
}
interface SecondType {
y: string
}
function showType(arg: FirstType | SecondType) {
if ("x" in arg) {
console.log(`The property ${arg.x} exists`)
return `The property ${arg.x} exists`
}
throw new Error("This type is not expected")
}
showType({ x: 7 })
// Output: The property 7 exists
showType({ y: "ccc" })
// Error: This type is not expected
The in
operator allows you to check whether a property x
exists or not on the object received as a parameter.
Conditional Types
It tests two types and selects one of them depending on the outcome of that test.
type NonNullable<T> = T extends null | undefined ? never : T
This example of the NonNullable
utility type checks if the type is null or not and handle it depending on that. And as you can note, it uses the JavaScript ternary operator.
Thanks for reading.