p-waterfall vs p-all vs p-props vs p-series
Promise Utility Libraries Comparison
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What's Promise Utility Libraries?

Promise utility libraries provide developers with a set of tools to manage and manipulate promises in a more efficient and organized manner. These libraries help streamline asynchronous operations, allowing for better control over the execution flow of multiple promises. Each package offers unique features that cater to different use cases, enabling developers to choose the right tool based on their specific needs for handling concurrency, sequencing, and data management in asynchronous programming.

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p-waterfall1,214,773
75-14 years agoMIT
p-all1,214,225
3395.42 kB12 years agoMIT
p-props39,511
1976.58 kB12 years agoMIT
p-series38,601
67-04 years agoMIT
Feature Comparison: p-waterfall vs p-all vs p-props vs p-series

Execution Model

  • p-waterfall:

    p-waterfall runs a series of functions in sequence, passing the result of each function to the next. This creates a chain of dependent operations, making it ideal for workflows where each step relies on the output of the previous step.

  • p-all:

    p-all executes all promises concurrently, returning a single promise that resolves when all input promises have resolved. It does not care about the order of completion, making it suitable for independent tasks that can run in parallel.

  • p-props:

    p-props takes an object of promises and resolves them concurrently, returning an object with the same keys but with the resolved values. This allows for structured data handling while still benefiting from concurrent execution.

  • p-series:

    p-series executes promises in a strict sequence, ensuring that each promise is completed before the next one starts. This is essential for tasks that require a specific order of execution, such as data processing pipelines.

Error Handling

  • p-waterfall:

    p-waterfall will reject if any function in the chain returns a rejected promise. This allows for immediate error handling and prevents further execution of dependent operations.

  • p-all:

    p-all resolves with an array of results, but if any promise rejects, the returned promise will reject immediately with that error. This behavior is useful when you want to know if any of the concurrent operations failed without waiting for all to complete.

  • p-props:

    p-props will reject if any of the promises in the object reject. This means that you can handle errors in a structured way, knowing exactly which promise failed based on the keys of the input object.

  • p-series:

    p-series stops execution and rejects as soon as one promise fails, allowing you to handle errors immediately. This is beneficial when you want to halt a sequence of operations upon encountering an error.

Use Cases

  • p-waterfall:

    Great for workflows that require chaining of asynchronous operations, such as data transformations where each step depends on the output of the last.

  • p-all:

    Best suited for scenarios where multiple independent asynchronous tasks need to be executed simultaneously, such as fetching data from multiple APIs at once.

  • p-props:

    Ideal for cases where you have a set of asynchronous tasks that need to be resolved and organized by keys, such as loading user data or configuration settings.

  • p-series:

    Perfect for tasks that must be performed in a specific order, such as processing data step-by-step or performing database transactions that depend on the results of previous queries.

Performance

  • p-waterfall:

    p-waterfall can introduce delays if each step in the chain takes time, but it provides a clear and manageable way to handle dependent asynchronous operations.

  • p-all:

    p-all is optimized for concurrent execution, making it efficient for scenarios with many independent promises. However, it may lead to resource contention if too many promises are executed simultaneously.

  • p-props:

    p-props balances concurrency with structured data management, making it efficient for resolving multiple promises while maintaining a clear mapping of results to keys.

  • p-series:

    p-series can be slower due to its sequential nature, but it ensures that each operation completes before the next begins, which can be crucial for dependent tasks.

Learning Curve

  • p-waterfall:

    p-waterfall may require a deeper understanding of promise chaining, but it provides a clear method for managing dependent asynchronous tasks, making it valuable for complex workflows.

  • p-all:

    p-all is straightforward to use, especially for those familiar with promises. Its API is simple and intuitive, making it easy to integrate into existing codebases.

  • p-props:

    p-props has a slightly higher learning curve due to its object-based structure, but it offers powerful capabilities for managing multiple promises in an organized way.

  • p-series:

    p-series is easy to understand and implement, particularly for developers who are accustomed to synchronous programming patterns. Its sequential execution model is intuitive for most use cases.

How to Choose: p-waterfall vs p-all vs p-props vs p-series
  • p-waterfall:

    Use p-waterfall when you want to execute a series of asynchronous functions where each function receives the result of the previous one as its input. This is perfect for scenarios where you have a chain of dependent operations that need to be performed in a specific order.

  • p-all:

    Choose p-all when you need to execute multiple promises concurrently and want to resolve when all of them have completed, regardless of their individual outcomes. It is ideal for scenarios where you want to wait for a batch of asynchronous operations to finish before proceeding.

  • p-props:

    Select p-props when you want to resolve an object of promises and return an object with the same keys, but with the resolved values. This is useful for managing multiple asynchronous tasks that are keyed by identifiers, allowing for easier data organization and retrieval.

  • p-series:

    Opt for p-series when you need to execute promises in a sequential manner, ensuring that each promise completes before the next one starts. This is particularly beneficial when the order of execution is crucial or when later promises depend on the results of earlier ones.

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-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-waterfall

p-waterfall

Run promise-returning & async functions in series, each passing its result to the next

Install

$ npm install p-waterfall

Usage

import pWaterfall from 'p-waterfall';

const tasks = [
	initialValue => getEmoji(initialValue),
	previousValue => `I ❤️ ${previousValue}`
];

console.log(await pWaterfall(tasks, 'unicorn'));
//=> 'I ❤️ 🦄'

API

pWaterfall(tasks, initialValue?)

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 the value returned from the last task.

tasks

Type: Iterable<Function>

Functions are expected to return a value. If a Promise is returned, it's awaited before continuing with the next task.

initialValue

Type: unknown

Value to use as previousValue in the first task.

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