p-all vs p-map vs p-queue vs p-series
Concurrency Control in JavaScript
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Concurrency Control in JavaScript

These npm packages provide utilities for managing asynchronous operations in JavaScript, allowing developers to handle multiple promises concurrently while controlling their execution flow. They are particularly useful in scenarios where you need to optimize performance by running tasks in parallel or sequentially, manage resource limits, and improve code readability. Each package offers unique features that cater to different concurrency needs, making them essential tools for modern JavaScript development.

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p-all03455.6 kB06 months agoMIT
p-map01,48421.3 kB124 months agoMIT
p-queue04,15376.8 kB63 months agoMIT
p-series072-05 years agoMIT

Feature Comparison: p-all vs p-map vs p-queue vs p-series

Execution Model

  • p-all:

    p-all executes all provided promises concurrently and resolves when all promises have settled. It does not impose any limit on the number of concurrent executions, making it suitable for scenarios where you want to maximize throughput.

  • p-map:

    p-map runs promises concurrently but allows you to specify a concurrency limit. This means you can control how many promises are executed at the same time, which is useful for managing resources and preventing overload.

  • p-queue:

    p-queue manages a queue of tasks, executing them in the order they were added. It allows you to control the maximum number of concurrent executions, ensuring that tasks are processed in a controlled manner without overwhelming the system.

  • p-series:

    p-series runs promises sequentially, ensuring that each promise is completed before the next one starts. This is ideal for tasks that need to be executed in a specific order, such as when one task depends on the result of another.

Error Handling

  • p-all:

    p-all rejects as soon as any of the promises reject, providing a straightforward way to handle errors in a batch of operations. This means you can easily catch and respond to errors without waiting for all promises to settle.

  • p-map:

    p-map allows for individual error handling within the mapped function, enabling you to handle errors for each promise separately while still maintaining control over the overall execution flow.

  • p-queue:

    p-queue allows you to handle errors as tasks are processed, giving you the flexibility to retry or skip tasks based on their success or failure, which is useful for long-running queues.

  • p-series:

    p-series will reject as soon as a promise in the series rejects, allowing you to handle errors in a linear fashion. This ensures that you can manage failures in a predictable sequence.

Use Cases

  • p-all:

    p-all is best used in scenarios where you need to fire off multiple independent asynchronous operations, such as fetching data from multiple APIs simultaneously without concern for their order.

  • p-map:

    p-map is ideal for scenarios where you need to process a collection of items asynchronously, such as making API calls for each item in an array while controlling the number of concurrent requests to avoid hitting rate limits.

  • p-queue:

    p-queue is suitable for managing tasks that need to be processed in a specific order, such as processing a series of file uploads or database transactions where order and resource management are critical.

  • p-series:

    p-series is perfect for situations where tasks are dependent on one another, such as a series of database migrations or sequential API calls that require the result of the previous call.

Performance Optimization

  • p-all:

    p-all can lead to performance bottlenecks if too many promises are executed at once, especially when dealing with rate-limited APIs. It is important to monitor resource usage when using this package.

  • p-map:

    p-map strikes a balance between concurrency and resource management, allowing you to optimize performance while preventing overload by controlling the number of concurrent executions.

  • p-queue:

    p-queue optimizes performance by managing task execution order and concurrency limits, ensuring that resources are used efficiently and that tasks are not overwhelming the system.

  • p-series:

    p-series can be less performant due to its sequential nature, but it is essential when task order is critical. It ensures that tasks complete in the correct sequence, which can be more important than raw speed.

Learning Curve

  • p-all:

    p-all has a straightforward API, making it easy to learn and use for developers familiar with promises. Its simplicity allows for quick integration into existing codebases.

  • p-map:

    p-map may require a bit more understanding of concurrency concepts, especially when setting concurrency limits, but it remains accessible for developers with a basic knowledge of promises.

  • p-queue:

    p-queue introduces additional complexity with task management and queue handling, which may require a deeper understanding of asynchronous patterns, but offers powerful control over task execution.

  • p-series:

    p-series is the simplest to understand for those familiar with synchronous programming, as it mimics a sequential execution flow, making it easy to grasp for developers transitioning from synchronous to asynchronous code.

How to Choose: p-all vs p-map vs p-queue vs p-series

  • p-all:

    Choose p-all when you need to execute multiple promises in parallel and want to wait for all of them to resolve or any to reject. It's ideal for scenarios where you want to handle a batch of asynchronous operations simultaneously without caring about their order.

  • p-map:

    Choose p-map when you want to run asynchronous operations in parallel but with a limit on the number of concurrent executions. This is particularly useful when dealing with APIs or resources that have rate limits, allowing you to control the flow of requests while still benefiting from concurrency.

  • p-queue:

    Choose p-queue when you need to manage a queue of asynchronous tasks and want to control their execution order. This is beneficial for scenarios where tasks must be processed in a specific sequence or when you want to limit the number of concurrent operations to avoid overwhelming resources.

  • p-series:

    Choose p-series when you need to execute asynchronous operations in a strict sequential order. This is useful for tasks that depend on the completion of previous tasks, ensuring that each operation finishes before the next one begins.

Similar Npm Packages to p-all

p-all is a utility library that allows you to run multiple Promise-returning functions in parallel, with the ability to limit the number of concurrent executions. This is particularly useful when you need to perform multiple asynchronous operations but want to avoid overwhelming the system or hitting API rate limits. By using p-all, developers can easily manage concurrency while ensuring that all promises are resolved.

While p-all is a powerful tool for managing parallel promises, there are several alternatives in the npm ecosystem that offer similar functionalities. Here are a few notable ones:

  • p-map is a library that allows you to map over an array of items and execute an asynchronous function for each item in parallel. It provides options to control the concurrency level, making it a great choice when you want to process a collection of items without blocking the event loop. If you need to transform data asynchronously while managing how many promises run concurrently, p-map is an excellent option.

  • p-queue is a promise queue that allows you to manage a queue of asynchronous tasks. It provides features such as concurrency control, priority levels, and the ability to pause and resume the queue. If your application requires more complex task management, such as prioritizing certain tasks or controlling the order of execution, p-queue is a robust solution.

  • p-series is a utility that runs an array of Promise-returning functions in series, meaning each function will only start after the previous one has completed. This is useful when the order of execution matters or when you want to limit the number of concurrent tasks to one. If you need to ensure that tasks are executed sequentially, p-series is the right choice.

To explore how these packages compare, check out the comparison: Comparing p-all vs p-map vs p-queue vs p-series.

Similar Npm Packages to p-map

p-map is a utility library for mapping over asynchronous operations in a more manageable way. It allows developers to run multiple promises concurrently while controlling the number of promises that are executed at any given time. This makes it particularly useful for scenarios where you need to perform multiple asynchronous tasks without overwhelming the system or the API being called. With p-map, you can specify a concurrency limit, ensuring that only a certain number of promises are processed simultaneously, which helps in optimizing resource usage and improving performance.

While p-map is a great tool for handling concurrent asynchronous operations, there are several alternatives that provide similar functionalities. Here are a few noteworthy alternatives:

  • p-all is a utility that allows you to run multiple promises in parallel and returns a single promise that resolves when all of the promises have resolved. Unlike p-map, which focuses on mapping over an array with concurrency control, p-all is straightforward and simply executes all promises at once. This can be useful when you want to wait for multiple asynchronous operations to complete without worrying about limiting the number of concurrent executions.

  • p-queue is a promise queue that allows you to manage the execution of asynchronous tasks with fine-grained control. It provides features such as concurrency limits, priority levels, and the ability to pause and resume the queue. p-queue is particularly useful when you need to manage a large number of asynchronous tasks and want to ensure that they are executed in a controlled manner, making it a powerful alternative to p-map for more complex scenarios.

  • p-series is a utility that runs promises in series, meaning that it waits for each promise to resolve before starting the next one. This is different from p-map, which allows for concurrent execution. If your use case requires that tasks be executed one after another rather than in parallel, p-series is the appropriate choice.

To explore how these packages compare, check out the following link: Comparing p-all vs p-map vs p-queue vs p-series.

Similar Npm Packages to p-queue

p-queue is a promise-based queue implementation for managing asynchronous tasks in JavaScript. It allows developers to control the concurrency of tasks, ensuring that a specified number of tasks run simultaneously while others wait in line. This is particularly useful when dealing with APIs or other asynchronous operations that may have rate limits or require controlled execution. With features like priority support and the ability to pause and resume queues, p-queue provides a flexible solution for managing complex asynchronous workflows.

There are several alternatives to p-queue that also provide functionality for managing asynchronous tasks:

  • async is a widely-used utility module that provides a variety of functions to work with asynchronous JavaScript. It includes methods for controlling concurrency, such as async.eachLimit and async.parallelLimit, which allow you to run multiple asynchronous operations in parallel with a specified limit. While async is a powerful library with a broad range of features, it may be considered more heavyweight compared to p-queue, especially if you only need simple queuing functionality.

  • p-all is a lightweight utility that allows you to run multiple promise-returning functions concurrently and returns a promise that resolves when all of the promises have resolved. It provides a simple way to manage concurrency without the additional features found in p-queue. If your primary need is to run a set of promises concurrently without the overhead of a full queue implementation, p-all is an excellent choice.

  • p-limit is another minimalist utility that allows you to limit the number of concurrent promises. It creates a function that can be called with promise-returning functions, ensuring that only a specified number of them are executed at any given time. This is particularly useful for controlling resource usage when dealing with APIs or other asynchronous tasks. If you need a straightforward way to limit concurrency without the additional features of a queue, p-limit is an ideal solution.

To see how p-queue compares with async, p-all, and p-limit, check out the comparison: Comparing async vs p-all vs p-limit vs p-queue.

Similar Npm Packages to p-series

p-series is a utility library for managing asynchronous operations in a sequential manner. It allows developers to execute a series of promises one after another, ensuring that each promise completes before the next one begins. This is particularly useful when the order of execution is important, such as when each operation depends on the results of the previous one. By using p-series, developers can write cleaner and more maintainable code when dealing with asynchronous tasks.

While p-series provides a straightforward solution for sequentially executing promises, there are other libraries that offer similar functionalities. Here are a few alternatives:

  • p-all is a utility that allows you to run multiple promises in parallel and returns a single promise that resolves when all of the input promises have resolved. Unlike p-series, which executes promises sequentially, p-all is designed for scenarios where you want to take advantage of concurrency to improve performance. If your tasks are independent and can be executed simultaneously, p-all is an excellent choice for optimizing execution time.
  • p-props is a utility for resolving an object of promises. It takes an object where each value is a promise and returns a promise that resolves to an object with the same keys, but with the values resolved. This is useful when you have multiple asynchronous operations that need to be executed simultaneously and you want to maintain the structure of the original object. If you need to handle multiple promises while preserving their keys, p-props is a convenient option.
  • p-waterfall is a utility that allows you to run a series of functions in sequence, where each function receives the result of the previous one as an argument. This is similar to p-series, but it is specifically designed for scenarios where you want to pass results through a chain of functions. If your operations require chaining and passing data between them, p-waterfall is an ideal choice.

To see how p-series compares with p-all, p-props, and p-waterfall, check out the comparison: Comparing p-all vs p-props vs p-series vs p-waterfall.

README for p-all

p-all

Run promise-returning & async functions concurrently with optional limited concurrency

Similar to Promise.all(), but accepts functions instead of promises directly so you can limit the concurrency.

If you're doing the same work in each function, use p-map instead.

See p-series for a serial counterpart.

Install

npm install p-all

Usage

import pAll from 'p-all';
import got from 'got';

const actions = [
	() => got('https://sindresorhus.com'),
	() => got('https://avajs.dev'),
	() => checkSomething(),
	() => doSomethingElse()
];

console.log(await pAll(actions, {concurrency: 2}));

API

pAll(tasks, options?)

Returns a Promise that is fulfilled when all promises returned from calling the functions in tasks are fulfilled, or rejects if any of the promises reject. The fulfilled value is an Array of the fulfilled values in tasks order.

tasks

Type: Iterable<Function>

Iterable with promise-returning/async functions.

options

Type: object

concurrency

Type: number (Integer)
Default: Infinity
Minimum: 1

Number of concurrently pending promises.

stopOnError

Type: boolean
Default: true

When set to false, instead of stopping when a promise rejects, it will wait for all the promises to settle and then reject with an AggregateError containing all the errors from the rejected promises.

signal

Type: AbortSignal

You can abort the promises using AbortController.

Related

  • p-map - Map over promises concurrently
  • p-series - Run promise-returning & async functions in series
  • p-props - Like Promise.all() but for Map and Object
  • p-queue - Promise queue with concurrency control
  • p-limit - Run multiple promise-returning & async functions with limited concurrency
  • More…
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