When working with arrays of data, you may need to run an asynchronous operation on each item. The Promise.all()
method provides a convenient interface to run a list of promises in parallel, but it has some limitations.
Using Promise.all()
may overload the available resources, especially when reaching out to the Internet or interacting with the database. Depending on your list size, you may send out thousands of requests parallelly into the wild.
This tutorial shows you how to use a promise pool to run a batch of promises in parallel and the batches themselves in sequence.
Node.js Series Overview
- Increase the Memory Limit for Your Process
- Why You Should Add “node” in Your Travis Config
- Create a PDF from HTML with Puppeteer and Handlebars
- Create Your Own Custom Error
- Retrieve a Request’s IP Address in Node.js
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- How to Base64 Encode/Decode a Value in Node.js
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- How to Count Words in a File
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- How to Implement a Custom `toString` Method (Coming soon)
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- How to Format a Date YYYY-MM-DD in JavaScript or Node.js
- Convert a Date to UTC in JavaScript or Node.js (Coming soon)
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- How to Run an Asynchronous Function in Array.map()
- How to Reset and Empty an Array
- for…of vs. for…in Loops
- Clone/Copy an Array in JavaScript and Node.js
- Get an Array With Unique Values (Delete Duplicates)
- Sort an Array of Integers in JavaScript and Node.js
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- Add an Item to the Beginning of an Array in JavaScript or Node.js
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- How to Exit and Stop a for Loop in JavaScript and Node.js
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- How to Get an Index in a for…of Loop in JavaScript and Node.js
- How to Exit, Stop, or Break an Array#forEach Loop in JavaScript or Node.js
- Retrieve a Random Item From an Array in JavaScript or Node.js
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- Sort an Array of Objects in JavaScript, TypeScript or Node.js
- Check If a Value Is an Array in JavaScript or Node.js
- Join an Array of Strings to a Single String Value
- Create and Fill an Array Containing N Items
- Callback and Promise Support in your Node.js Modules
- Run Async Functions/Promises in Sequence
- Run Async Functions/Promises in Parallel
- Run Async Functions in Batches
- How to Fix “Promise resolver undefined is not a function” in Node.js or JavaScript
- Detect if Value Is a Promise in Node.js and JavaScript
- Overview of Promise-Based APIs in Node.js
- Thenables and Creating Your Own Promises
- Generate a Random Number in Range With JavaScript/Node.js
- Ensure a Positive Number in JavaScript or Node.js
- Check if a Number Is Infinity
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- Use Numeric Separators for Better Readability
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- How to Merge Objects
- How to Check if an Object is Empty in JavaScript or Node.js
- How to CamelCase Keys of an Object in JavaScript or Node.js
- How to Snake_Case Keys of an Object in JavaScript or Node.js
- How to Destructure a Dynamic Key in JavaScript or Node.js
- How to Get All Keys (Including Symbols) from an Object in JavaScript or Node.js
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- How to Convert URLSearchParams to Object
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- Unset an Object Property
- Get a File’s Created Date
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- How to Create an Empty File
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- How to Rename a File
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- Retrieve the Path to the User’s Home Directory
- How to Touch a File
- Read File Content as String
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- How to Create a Directory (and Parents If Needed)
- Get a File‘s Extension
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- Read a JSON File
- Delete a File From Disk
- Check if a Path is a SymLink (Symbolic Link)
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- Check if a Path is a FIFO File (Named Pipe)
- Check if a Path is a File URL
- Handling `fs.Stats` Constructor is Deprecated
- What is `Fs.realpath`?
Run Async Functions/Promises in Batches
Let’s say you have a list of 500 items and you need to perform an asynchronous operation. You don’t want to run the processing for all 500 items in parallel. At the same time, you also don’t want to waste resources by running all 500 items in sequence.
The idea: chunk the list with 500 items into smaller lists with 20 items each and run 20 items in parallel.
Use a Promise Pool
We recommend a promise pool to run batches of items concurrently. A promise pool runs the asynchronous operation at most X items in parallel. Precisely, it handles async pooling for you and tries to run the maximum allowed number of parallel operations.
The @supercharge/promise-pool
package provides map-like, concurrent promise processing.
Here’s an example using a promise-pool to process a list of 50,000 users. The pool runs at most 20 operations concurrently:
const PromisePool = require('@supercharge/promise-pool')
const users = [
{ id: 1, name: 'Marcus' },
{ id: 2, name: 'Norman' },
{ id: 3, name: 'Christian' },
…,
{ id: 50000, name: 'Future Studio' }
]
/**
* Process the list of 50,000 users with a concurrency of 20 items.
* The promise pool takes the next task from the list as soon
* as one of the active tasks in the pool finishes.
*/
const { results, errors } = await PromisePool
.for(users)
.withConcurrency(20)
.process(async data => {
const user = await User.createIfNotExisting(data)
return user
})
The promise pool iterations through all items in the list, even though an operation may cause an error. The pool collects all errors and results and returns them in an object. You may use destructuring to access the result
and errors
properties directly.
Try to Avoid Promise.all()
JavaScript’s global Promise
class provides the static all
method which accepts an array of promises. The downsides of this approach: it runs all promises in the list simultaneously and waits for every promise to finish.
You may chunk your original list of items into smaller lists and use Promise.all
on these smaller lists. This leads to the shortcoming that all promises must resolve before processing the next batch. This is where the promise-pool shines: it starts takes the next task from the list of operations as soon as one in the batch finishes.
Mentioned Resources
- @supercharge/promise-pool GitHub repo