(chunkSize: number, duration: Duration.Input): <A, E, R>(
self: Stream<A, E, R>
) => Stream<Array<A>, E, R>
<A, E, R>(
self: Stream<A, E, R>,
chunkSize: number,
duration: Duration.Input
): Stream<Array<A>, E, R>Partitions the stream into arrays, emitting when the chunk size is reached or the duration passes.
Example (Grouping elements by size or time)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
const values = yield* Stream.make(1, 2, 3).pipe(
Stream.groupedWithin(2, "5 seconds"),
Stream.runCollect
)
yield* Console.log(values)
})
Effect.runPromise(program)
// Output: [ [ 1, 2 ], [ 3 ] ]export const const groupedWithin: {
(chunkSize: number, duration: Duration.Input): <
A,
E,
R
>(
self: Stream<A, E, R>
) => Stream<Array<A>, E, R>
<A, E, R>(
self: Stream<A, E, R>,
chunkSize: number,
duration: Duration.Input
): Stream<Array<A>, E, R>
}
Partitions the stream into arrays, emitting when the chunk size is reached
or the duration passes.
Example (Grouping elements by size or time)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
const values = yield* Stream.make(1, 2, 3).pipe(
Stream.groupedWithin(2, "5 seconds"),
Stream.runCollect
)
yield* Console.log(values)
})
Effect.runPromise(program)
// Output: [ [ 1, 2 ], [ 3 ] ]
groupedWithin: {
(
chunkSize: numberchunkSize: number,
duration: Duration.Inputduration: import DurationDuration.type Duration.Input = /*unresolved*/ anyInput
): <function (type parameter) A in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>R>(self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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; <…;
}
self: interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>R>) => interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<interface Array<T>Array<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>A>, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>): Stream<Array<A>, E, R>R>
<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>R>(self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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; <…;
}
self: interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>R>, chunkSize: numberchunkSize: number, duration: Duration.Inputduration: import DurationDuration.type Duration.Input = /*unresolved*/ anyInput): interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<interface Array<T>Array<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>A>, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>R>
} = import dualdual(3, <function (type parameter) A in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>R>(
self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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; <…;
}
self: interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>A, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>R>,
chunkSize: numberchunkSize: number,
duration: Duration.Inputduration: import DurationDuration.type Duration.Input = /*unresolved*/ anyInput
): interface Stream<out A, out E = never, out R = never>A Stream<A, E, R> describes a program that can emit many A values, fail
with E, and require R.
Details
Streams are pull-based with backpressure and emit chunks to amortize effect
evaluation. They support monadic composition and error handling similar to
Effect, adapted for multiple values.
Example (Creating and consuming streams)
import { Console, Effect, Stream } from "effect"
const program = Effect.gen(function*() {
yield* Stream.make(1, 2, 3).pipe(
Stream.map((n) => n * 2),
Stream.runForEach((n) => Console.log(n))
)
})
Effect.runPromise(program)
// Output:
// 2
// 4
// 6
Stream<interface Array<T>Array<function (type parameter) A in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>A>, function (type parameter) E in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>E, function (type parameter) R in <A, E, R>(self: Stream<A, E, R>, chunkSize: number, duration: Duration.Input): Stream<Array<A>, E, R>R> =>
const aggregateWithin: {
<B, A, A2, E2, R2, C, E3, R3>(
sink: Sink.Sink<B, A | A2, A2, E2, R2>,
schedule: Schedule.Schedule<
C,
Option.Option<B>,
E3,
R3
>
): <E, R>(
self: Stream<A, E, R>
) => Stream<B, E2 | E | E3, R2 | R3 | R>
<A, E, R, B, A2, E2, R2, C, E3, R3>(
self: Stream<A, E, R>,
sink: Sink.Sink<B, A | A2, A2, E2, R2>,
schedule: Schedule.Schedule<
C,
Option.Option<B>,
E3,
R3
>
): Stream<B, E | E2 | E3, R | R2 | R3>
}
aggregateWithin(
self: Stream<A, E, R>(parameter) self: {
channel: Channel.Channel<Arr.NonEmptyReadonlyArray<A>, E, void, unknown, unknown, unknown, R>;
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; <…;
}
self,
import SinkSink.take(chunkSize: numberchunkSize),
import ScheduleSchedule.spaced(duration: Duration.Inputduration)
))