<A>(f: (current: NoInfer<A>) => A): (
self: TxRef<A>
) => Effect.Effect<void>
<A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>Updates the value of the TxRef using the provided function.
When to use
Use to transform a TxRef when no result value is needed.
Example (Updating transactional references)
import { Effect, TxRef } from "effect"
const program = Effect.gen(function*() {
const counter = yield* TxRef.make(10)
// Update the value using a function
yield* Effect.tx(
TxRef.update(counter, (current) => current * 2)
)
console.log(yield* TxRef.get(counter)) // 20
})export const const update: {
<A>(f: (current: NoInfer<A>) => A): (
self: TxRef<A>
) => Effect.Effect<void>
<A>(
self: TxRef<A>,
f: (current: A) => A
): Effect.Effect<void>
}
Updates the value of the TxRef using the provided function.
When to use
Use to transform a TxRef when no result value is needed.
Example (Updating transactional references)
import { Effect, TxRef } from "effect"
const program = Effect.gen(function*() {
const counter = yield* TxRef.make(10)
// Update the value using a function
yield* Effect.tx(
TxRef.update(counter, (current) => current * 2)
)
console.log(yield* TxRef.get(counter)) // 20
})
update: {
<function (type parameter) A in <A>(f: (current: NoInfer<A>) => A): (self: TxRef<A>) => Effect.Effect<void>A>(f: (current: NoInfer<A>) => Af: (current: NoInfer<A>current: type NoInfer<A> = [A][A extends any ? 0 : never]Prevents TypeScript from inferring a type parameter from a specific
position.
When to use
Use when a function parameter must match an inferred type without becoming
an inference source.
Details
The parameter using NoInfer must still match the inferred type.
Example (Controlling inference)
import type { Types } from "effect"
declare function withDefault<T>(value: T, fallback: Types.NoInfer<T>): T
// T is inferred as "a" | "b" from the first argument only
const result = withDefault<"a" | "b">("a", "b")
NoInfer<function (type parameter) A in <A>(f: (current: NoInfer<A>) => A): (self: TxRef<A>) => Effect.Effect<void>A>) => function (type parameter) A in <A>(f: (current: NoInfer<A>) => A): (self: TxRef<A>) => Effect.Effect<void>A): (self: TxRef<A>(parameter) self: {
version: number;
pending: Map<unknown, () => void>;
value: A;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
interface TxRef<in out A>TxRef is a transactional value, it can be read and modified within the body of a transaction.
When to use
Use to store mutable state that must be read and modified inside Effect
transactions.
Details
Accessed values are tracked by the transaction in order to detect conflicts and in order to
track changes, a transaction will retry whenever a conflict is detected or whenever the
transaction explicitely calls to Effect.txRetry and any of the accessed TxRef values
change.
Example (Using a transactional reference)
import { Effect, TxRef } from "effect"
const program = Effect.gen(function*() {
// Create a transactional reference
const ref: TxRef.TxRef<number> = yield* TxRef.make(0)
// Use within a transaction
yield* Effect.tx(Effect.gen(function*() {
const current = yield* TxRef.get(ref)
yield* TxRef.set(ref, current + 1)
}))
const final = yield* TxRef.get(ref)
console.log(final) // 1
})
TxRef<function (type parameter) A in <A>(f: (current: NoInfer<A>) => A): (self: TxRef<A>) => Effect.Effect<void>A>) => import EffectEffect.interface Effect<out A, out E = never, out R = never>The Effect interface defines a value that lazily describes a workflow or
job. The workflow requires some context R, and may fail with an error of
type E, or succeed with a value of type A.
When to use
Use when you need to represent a lazy, composable workflow that can require
services, fail with a typed error, or succeed with a typed value.
Details
Effect values model resourceful interaction with the outside world,
including synchronous, asynchronous, concurrent, and parallel interaction.
They use a fiber-based concurrency model, with built-in support for
scheduling, fine-grained interruption, structured concurrency, and high
scalability.
To run an Effect value, you need a Runtime, which is a type that is
capable of executing Effect values.
Effect<void>
<function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A>(self: TxRef<A>(parameter) self: {
version: number;
pending: Map<unknown, () => void>;
value: A;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
interface TxRef<in out A>TxRef is a transactional value, it can be read and modified within the body of a transaction.
When to use
Use to store mutable state that must be read and modified inside Effect
transactions.
Details
Accessed values are tracked by the transaction in order to detect conflicts and in order to
track changes, a transaction will retry whenever a conflict is detected or whenever the
transaction explicitely calls to Effect.txRetry and any of the accessed TxRef values
change.
Example (Using a transactional reference)
import { Effect, TxRef } from "effect"
const program = Effect.gen(function*() {
// Create a transactional reference
const ref: TxRef.TxRef<number> = yield* TxRef.make(0)
// Use within a transaction
yield* Effect.tx(Effect.gen(function*() {
const current = yield* TxRef.get(ref)
yield* TxRef.set(ref, current + 1)
}))
const final = yield* TxRef.get(ref)
console.log(final) // 1
})
TxRef<function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A>, f: (current: A) => Af: (current: Acurrent: function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A) => function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A): import EffectEffect.interface Effect<out A, out E = never, out R = never>The Effect interface defines a value that lazily describes a workflow or
job. The workflow requires some context R, and may fail with an error of
type E, or succeed with a value of type A.
When to use
Use when you need to represent a lazy, composable workflow that can require
services, fail with a typed error, or succeed with a typed value.
Details
Effect values model resourceful interaction with the outside world,
including synchronous, asynchronous, concurrent, and parallel interaction.
They use a fiber-based concurrency model, with built-in support for
scheduling, fine-grained interruption, structured concurrency, and high
scalability.
To run an Effect value, you need a Runtime, which is a type that is
capable of executing Effect values.
Effect<void>
} = dual<(...args: Array<any>) => any, <A>(self: TxRef<A>, f: (current: A) => A) => Effect.Effect<void>>(arity: 2, body: <A>(self: TxRef<A>, f: (current: A) => A) => Effect.Effect<void>): ((...args: Array<any>) => any) & (<A>(self: TxRef<A>, f: (current: A) => A) => Effect.Effect<void>) (+1 overload)Creates a function that can be called in data-first style or data-last
(pipe-friendly) style.
When to use
Use to expose one implementation through both direct and pipe-friendly
call styles.
Details
Pass either the arity of the uncurried function or a predicate that decides
whether the current call is data-first. Arity is the common case. Use a
predicate when optional arguments make arity ambiguous.
Example (Selecting data-first or data-last style by arity)
import { Function, pipe } from "effect"
const sum = Function.dual<
(that: number) => (self: number) => number,
(self: number, that: number) => number
>(2, (self, that) => self + that)
console.log(sum(2, 3)) // 5
console.log(pipe(2, sum(3))) // 5
Example (Defining overloads with call signatures)
import { Function, pipe } from "effect"
const sum: {
(that: number): (self: number) => number
(self: number, that: number): number
} = Function.dual(2, (self: number, that: number): number => self + that)
console.log(sum(2, 3)) // 5
console.log(pipe(2, sum(3))) // 5
Example (Selecting data-first or data-last style with a predicate)
import { Function, pipe } from "effect"
const sum = Function.dual<
(that: number) => (self: number) => number,
(self: number, that: number) => number
>(
(args) => args.length === 2,
(self, that) => self + that
)
console.log(sum(2, 3)) // 5
console.log(pipe(2, sum(3))) // 5
dual(2, <function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A>(
self: TxRef<A>(parameter) self: {
version: number;
pending: Map<unknown, () => void>;
value: A;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
interface TxRef<in out A>TxRef is a transactional value, it can be read and modified within the body of a transaction.
When to use
Use to store mutable state that must be read and modified inside Effect
transactions.
Details
Accessed values are tracked by the transaction in order to detect conflicts and in order to
track changes, a transaction will retry whenever a conflict is detected or whenever the
transaction explicitely calls to Effect.txRetry and any of the accessed TxRef values
change.
Example (Using a transactional reference)
import { Effect, TxRef } from "effect"
const program = Effect.gen(function*() {
// Create a transactional reference
const ref: TxRef.TxRef<number> = yield* TxRef.make(0)
// Use within a transaction
yield* Effect.tx(Effect.gen(function*() {
const current = yield* TxRef.get(ref)
yield* TxRef.set(ref, current + 1)
}))
const final = yield* TxRef.get(ref)
console.log(final) // 1
})
TxRef<function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A>,
f: (current: A) => Af: (current: Acurrent: function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A) => function (type parameter) A in <A>(self: TxRef<A>, f: (current: A) => A): Effect.Effect<void>A
): import EffectEffect.interface Effect<out A, out E = never, out R = never>The Effect interface defines a value that lazily describes a workflow or
job. The workflow requires some context R, and may fail with an error of
type E, or succeed with a value of type A.
When to use
Use when you need to represent a lazy, composable workflow that can require
services, fail with a typed error, or succeed with a typed value.
Details
Effect values model resourceful interaction with the outside world,
including synchronous, asynchronous, concurrent, and parallel interaction.
They use a fiber-based concurrency model, with built-in support for
scheduling, fine-grained interruption, structured concurrency, and high
scalability.
To run an Effect value, you need a Runtime, which is a type that is
capable of executing Effect values.
Effect<void> => const modify: {
<A, R>(
f: (
current: NoInfer<A>
) => [returnValue: R, newValue: A]
): (self: TxRef<A>) => Effect.Effect<R>
<A, R>(
self: TxRef<A>,
f: (
current: A
) => [returnValue: R, newValue: A]
): Effect.Effect<R>
}
self: TxRef<A>(parameter) self: {
version: number;
pending: Map<unknown, () => void>;
value: A;
pipe: { <A>(this: A): A; <A, B = never>(this: A, ab: (_: A) => B): B; <A, B = never, C = never>(this: A, ab: (_: A) => B, bc: (_: B) => C): C; <A, B = never, C = never, D = never>(this: A, ab: (_: A) => B, bc: (_: B) => C, cd: (_: C) => D): D; <…;
}
current: Acurrent) => [void 0, f: (current: A) => Af(current: Acurrent)]))