<A, E>(self: TxEnqueue<A, E>): Effect.Effect<boolean>Shuts down the queue immediately by clearing all items and interrupting it (legacy compatibility).
Details
This operation clears all items from the queue using clear, then interrupts the queue using interrupt. This function mutates the original TxQueue by clearing its contents and marking it as shutdown. It does not return a new TxQueue reference.
Example (Shutting down queues)
import { Effect, TxQueue } from "effect"
const program = Effect.gen(function*() {
const queue = yield* TxQueue.bounded<number>(10)
yield* TxQueue.offerAll(queue, [1, 2, 3, 4, 5])
const sizeBefore = yield* TxQueue.size(queue)
console.log(sizeBefore) // 5
yield* TxQueue.shutdown(queue)
const sizeAfter = yield* TxQueue.size(queue)
console.log(sizeAfter) // 0 (cleared)
const isShutdown = yield* TxQueue.isShutdown(queue)
console.log(isShutdown) // true (interrupted)
})export const const shutdown: <A, E>(
self: TxEnqueue<A, E>
) => Effect.Effect<boolean>
Shuts down the queue immediately by clearing all items and interrupting it (legacy compatibility).
Details
This operation clears all items from the queue using clear, then interrupts the queue using interrupt. This function mutates the original TxQueue by clearing its contents and marking it as shutdown. It does not return a new TxQueue reference.
Example (Shutting down queues)
import { Effect, TxQueue } from "effect"
const program = Effect.gen(function*() {
const queue = yield* TxQueue.bounded<number>(10)
yield* TxQueue.offerAll(queue, [1, 2, 3, 4, 5])
const sizeBefore = yield* TxQueue.size(queue)
console.log(sizeBefore) // 5
yield* TxQueue.shutdown(queue)
const sizeAfter = yield* TxQueue.size(queue)
console.log(sizeAfter) // 0 (cleared)
const isShutdown = yield* TxQueue.isShutdown(queue)
console.log(isShutdown) // true (interrupted)
})
shutdown = <function (type parameter) A in <A, E>(self: TxEnqueue<A, E>): Effect.Effect<boolean>A, function (type parameter) E in <A, E>(self: TxEnqueue<A, E>): Effect.Effect<boolean>E>(self: TxEnqueue<A, E>(parameter) self: {
strategy: "bounded" | "unbounded" | "dropping" | "sliding";
capacity: number;
items: TxChunk.TxChunk<any>;
stateRef: TxRef.TxRef<State<any, any>>;
toString: () => string;
toJSON: () => unknown;
}
interface TxEnqueue<in A, in E = never>Namespace containing type definitions for TxEnqueue variance annotations.
A TxEnqueue represents the write-only interface of a transactional queue, providing
operations for adding elements (enqueue operations) and inspecting queue state.
Example (Offering values through enqueue handles)
import { Effect, TxQueue } from "effect"
import type { Cause } from "effect"
const program = Effect.gen(function*() {
// Queue without error channel
const queue = yield* TxQueue.bounded<number>(10)
const accepted = yield* TxQueue.offer(queue, 42)
// Queue with error channel for completion signaling
const faultTolerantQueue = yield* TxQueue.bounded<number, string>(10)
yield* TxQueue.offerAll(faultTolerantQueue, [1, 2, 3])
yield* TxQueue.fail(faultTolerantQueue, "processing complete")
// Works with Done for clean completion
const completableQueue = yield* TxQueue.bounded<
string,
Cause.Done
>(5)
yield* TxQueue.offer(completableQueue, "task")
yield* TxQueue.end(completableQueue)
})
TxEnqueue<function (type parameter) A in <A, E>(self: TxEnqueue<A, E>): Effect.Effect<boolean>A, function (type parameter) E in <A, E>(self: TxEnqueue<A, E>): Effect.Effect<boolean>E>): 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<boolean> =>
import EffectEffect.const gen: {
<Eff extends Effect<any, any, any>, AEff>(
f: () => Generator<Eff, AEff, never>
): Effect<
AEff,
[Eff] extends [never]
? never
: [Eff] extends [
Effect<infer _A, infer E, infer _R>
]
? E
: never,
[Eff] extends [never]
? never
: [Eff] extends [
Effect<infer _A, infer _E, infer R>
]
? R
: never
>
<Self, Eff extends Effect<any, any, any>, AEff>(
options: { readonly self: Self },
f: (this: Self) => Generator<Eff, AEff, never>
): Effect<
AEff,
[Eff] extends [never]
? never
: [Eff] extends [
Effect<infer _A, infer E, infer _R>
]
? E
: never,
[Eff] extends [never]
? never
: [Eff] extends [
Effect<infer _A, infer _E, infer R>
]
? R
: never
>
}
import EffectEffect.const ignore: <
Arg extends
| Effect<any, any, any>
| {
readonly log?:
| boolean
| Severity
| undefined
readonly message?: string | undefined
}
| undefined = {
readonly log?: boolean | Severity | undefined
readonly message?: string | undefined
}
>(
effectOrOptions?: Arg,
options?:
| {
readonly log?:
| boolean
| Severity
| undefined
readonly message?: string | undefined
}
| undefined
) => [Arg] extends [
Effect<infer _A, infer _E, infer _R>
]
? Effect<void, never, _R>
: <A, E, R>(
self: Effect<A, E, R>
) => Effect<void, never, R>
Discards both the success and failure values of an effect.
When to use
Use when an effect should run for its side effects while both success and
failure values are discarded.
Details
Use the log option to emit the full
Cause
when the effect fails,
and message to prepend a custom log message.
Example (Discarding success and failure values)
import { Effect } from "effect"
// ┌─── Effect<number, string, never>
// ▼
const task = Effect.fail("Uh oh!").pipe(Effect.as(5))
// ┌─── Effect<void, never, never>
// ▼
const program = task.pipe(Effect.ignore)
Example (Logging failures while ignoring results)
import { Effect } from "effect"
const task = Effect.fail("Uh oh!")
const program = task.pipe(Effect.ignore({ log: true }))
const programWarn = task.pipe(Effect.ignore({ log: "Warn", message: "Ignoring task failure" }))
ignore(const clear: <A, E>(
self: TxEnqueue<A, E>
) => Effect.Effect<Array<A>, ExcludeDone<E>>
Removes and returns all currently buffered elements without changing the
queue state.
Details
If the queue is already done with a Cause.Done error, returns an empty array. If the queue is done for any other cause, including interruption or failure, that cause is propagated.
Example (Clearing queues)
import { Effect, TxQueue } from "effect"
const program = Effect.gen(function*() {
const queue = yield* TxQueue.bounded<number>(10)
yield* TxQueue.offerAll(queue, [1, 2, 3, 4, 5])
const sizeBefore = yield* TxQueue.size(queue)
console.log(sizeBefore) // 5
const cleared = yield* TxQueue.clear(queue)
console.log(cleared) // [1, 2, 3, 4, 5]
const sizeAfter = yield* TxQueue.size(queue)
console.log(sizeAfter) // 0
})
clear(self: TxEnqueue<A, E>(parameter) self: {
strategy: "bounded" | "unbounded" | "dropping" | "sliding";
capacity: number;
items: TxChunk.TxChunk<any>;
stateRef: TxRef.TxRef<State<any, any>>;
toString: () => string;
toJSON: () => unknown;
}
const interrupt: <A, E>(
self: TxEnqueue<A, E>
) => Effect.Effect<boolean>
Interrupts the queue gracefully with the current fiber's interruption cause.
Details
If the queue still contains items, it enters the closing state so buffered items can be drained before consumers observe the interruption. If it is empty, it transitions directly to done. Returns false if the queue was already closing or done.
Example (Interrupting queues)
import { Effect, TxQueue } from "effect"
const program = Effect.gen(function*() {
const queue = yield* TxQueue.bounded<number>(10)
yield* TxQueue.offer(queue, 42)
// Interrupt gracefully - allows remaining items to be consumed
const result = yield* TxQueue.interrupt(queue)
console.log(result) // true
})
interrupt(self: TxEnqueue<A, E>(parameter) self: {
strategy: "bounded" | "unbounded" | "dropping" | "sliding";
capacity: number;
items: TxChunk.TxChunk<any>;
stateRef: TxRef.TxRef<State<any, any>>;
toString: () => string;
toJSON: () => unknown;
}
Pipeable.pipe<Effect.Effect<boolean, never, never>, Effect.Effect<boolean, never, never>>(this: Effect.Effect<boolean, never, never>, ab: (_: Effect.Effect<boolean, never, never>) => Effect.Effect<boolean, never, never>): Effect.Effect<boolean, never, never> (+21 overloads)pipe(import EffectEffect.const tx: <A, E, R>(
effect: Effect<A, E, R>
) => Effect<A, E, Exclude<R, Transaction>>
Defines a transaction boundary. Transactions are "all or nothing" with respect to changes
made to transactional values (i.e. TxRef) that occur within the transaction body.
Details
If called inside an active transaction, tx composes with the current transaction and reuses
its journal and retry state instead of creating a nested boundary.
Effect transactions are optimistic with retry. A transaction is retried when
its body explicitly calls Effect.txRetry and any accessed transactional
value changes, or when any accessed transactional value changes because a
different transaction commits before the current one.
The outermost tx call creates the transaction boundary and commits or rolls back the full
composed transaction.
Example (Running a transaction)
import { Effect, TxRef } from "effect"
const program = Effect.gen(function*() {
const ref1 = yield* TxRef.make(0)
const ref2 = yield* TxRef.make(0)
// Nested tx calls compose into the same transaction
yield* Effect.tx(Effect.gen(function*() {
yield* TxRef.set(ref1, 10)
yield* Effect.tx(TxRef.set(ref2, 20))
const sum = (yield* TxRef.get(ref1)) + (yield* TxRef.get(ref2))
console.log(`Transaction sum: ${sum}`)
}))
console.log(`Final ref1: ${yield* TxRef.get(ref1)}`) // 10
console.log(`Final ref2: ${yield* TxRef.get(ref2)}`) // 20
})
tx)