(self: TxQueueState): Effect.Effect<boolean>Checks whether the queue is at capacity.
Example (Checking whether a queue is full)
import { Effect, TxQueue } from "effect"
const program = Effect.gen(function*() {
const queue = yield* TxQueue.bounded<number>(2)
const full = yield* TxQueue.isFull(queue)
console.log(full) // false
yield* TxQueue.offerAll(queue, [1, 2])
const nowFull = yield* TxQueue.isFull(queue)
console.log(nowFull) // true
})export const const isFull: (
self: TxQueueState
) => Effect.Effect<boolean>
Checks whether the queue is at capacity.
Example (Checking whether a queue is full)
import { Effect, TxQueue } from "effect"
const program = Effect.gen(function*() {
const queue = yield* TxQueue.bounded<number>(2)
const full = yield* TxQueue.isFull(queue)
console.log(full) // false
yield* TxQueue.offerAll(queue, [1, 2])
const nowFull = yield* TxQueue.isFull(queue)
console.log(nowFull) // true
})
isFull = (self: TxQueueState(parameter) self: {
strategy: "bounded" | "unbounded" | "dropping" | "sliding";
capacity: number;
items: TxChunk.TxChunk<any>;
stateRef: TxRef.TxRef<State<any, any>>;
toString: () => string;
toJSON: () => unknown;
}
self: TxQueueState): 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> =>
self: TxQueueState(parameter) self: {
strategy: "bounded" | "unbounded" | "dropping" | "sliding";
capacity: number;
items: TxChunk.TxChunk<any>;
stateRef: TxRef.TxRef<State<any, any>>;
toString: () => string;
toJSON: () => unknown;
}
self.TxQueueState.capacity: numbercapacity === var Number: NumberConstructorAn object that represents a number of any kind. All JavaScript numbers are 64-bit floating-point numbers.
Number.NumberConstructor.POSITIVE_INFINITY: numberA value greater than the largest number that can be represented in JavaScript.
JavaScript displays POSITIVE_INFINITY values as infinity.
POSITIVE_INFINITY
? import EffectEffect.const succeed: <A>(value: A) => Effect<A>Creates an Effect that always succeeds with a given value.
When to use
Use when an effect should complete successfully with a specific value without any errors
or external dependencies.
Example (Creating a successful effect)
import { Effect } from "effect"
// Creating an effect that represents a successful scenario
//
// ┌─── Effect<number, never, never>
// ▼
const success = Effect.succeed(42)
succeed(false)
: import EffectEffect.const map: {
<A, B>(f: (a: A) => B): <E, R>(
self: Effect<A, E, R>
) => Effect<B, E, R>
<A, E, R, B>(
self: Effect<A, E, R>,
f: (a: A) => B
): Effect<B, E, R>
}
map(const size: (
self: TxQueueState
) => Effect.Effect<number>
Gets the current size of the queue.
Example (Reading queue size)
import { Effect, TxQueue } from "effect"
const program = Effect.gen(function*() {
const queue = yield* TxQueue.bounded<number>(10)
yield* TxQueue.offerAll(queue, [1, 2, 3])
const size = yield* TxQueue.size(queue)
console.log(size) // 3
})
size(self: TxQueueState(parameter) self: {
strategy: "bounded" | "unbounded" | "dropping" | "sliding";
capacity: number;
items: TxChunk.TxChunk<any>;
stateRef: TxRef.TxRef<State<any, any>>;
toString: () => string;
toJSON: () => unknown;
}
self), (currentSize: numbercurrentSize) => currentSize: numbercurrentSize >= self: TxQueueState(parameter) self: {
strategy: "bounded" | "unbounded" | "dropping" | "sliding";
capacity: number;
items: TxChunk.TxChunk<any>;
stateRef: TxRef.TxRef<State<any, any>>;
toString: () => string;
toJSON: () => unknown;
}
self.TxQueueState.capacity: numbercapacity)