1.0.1 • Published 5 years ago

async-parallel-foreach v1.0.1

Weekly downloads
89
License
MIT
Repository
github
Last release
5 years ago

Async parallel forEach

npm npm npm

Javascript module to perform async flow control on collection/iterable/dictionary in controlled parallel and make retry easily when error occurred

Features

  • iterate collection (array/object/iterator) and run async function on each item in a collection
  • control the concurrency of running async function on the items
  • auto retry when error occurred
  • delayed retry

Install

npm install async-parallel-foreach async --save
or
yarn add async-parallel-foreach async

How to use this module in your project?

Frontend: used in framework like React, Angular, Vue etc (work with bundler like webpack and rollup)

import { asyncParallelForEach, BACK_OFF_RETRY } from 'async-parallel-foreach'

Backend: node.js

const { asyncParallelForEach, BACK_OFF_RETRY } = require('async-parallel-foreach')

API

Main function

asyncParallelForEach(coll: Collection, parallelLimit: number, iteratee: Function, eachMaxTry): Promise\<Array<{ value: any, error: Error }>>

  • coll - can be Array, Object (dictionary), Iterable
  • parallelLimit - number of iteratee functions to be executed in parallel at any time, set parallelLimit = -1 for unlimited parallelization (all items will start process at once)
  • iteratee - the function that you define to process each item in "coll"
    • if "coll" is array, it will call with (value, index)
    • if "coll" is object, it will call with (value, key)
  • eachMaxTry - maximum number of times each item will be processed by "iteratee".
    • if eachMaxTry = 2, then the item will be retried 1 time when there is error throwed in the iteratee function
    • add delay before retry
      • set eachMaxTry = { times: 2, interval: 1000 } // wait for 1000 ms before retry
      • interval can also accept function returning the interval in ms
        • e.g. eachMaxTry = { times: 2, interval: (retryCount) => retryCount * 1000 } // retryCount start from 2 which means it is the 2nd trial

BACK_OFF_RETRY strategies

  • predefined interval function you may use

BACK_OFF_RETRY.randomBetween(minMs: number, maxMs: number)

  • e.g. eachMaxTry = { times: 5, interval: BACK_OFF_RETRY.randomBetween(100, 3000) } // random delay between 100ms and 3000ms

BACK_OFF_RETRY.exponential()

  • start from 100ms, then 200ms, 400ms, 800ms, 1600ms, ...

(details api document in here)

Usage

  • Example 1
const imageUrls = ['https://this-image-is-fine.jpg', 'https://this-image-does-exist-404.jpg', 'https://another-fine-image.jpg', /*......*/]

processImages(imageUrls).then(successFn).catch(errorCallback)

async function processImages(imageUrls) {

  const parallelLimit = 5 // process at most 5 images simultaneously
  
  const results = await asyncParallelForEach(imageUrls, parallelLimit, async (imageUrl, index) => {
    
    const filePath = await downloadImage(imageUrl)
    
    const convertedFilePath = await covertImageFormat(filePath)
    
    const compressFilePath = await compressImage(convertedFilePath)
    
    const s3ImageUrl = await uploadToS3(compressFilePath)
    
    // above operations may fails (throw Error) for any reason e.g. Network connection problem, image corruption, etc
    
    return s3ImageUrl
    
  }, { 
    times: 10,  // try at most 10 times
    interval: BACK_OFF_RETRY.exponential()
  })
  
  // results is in format [
  //   {value: '<the s3ImageUrl returned in the iteratee function corresponding to this-image-is-fine.jpg>' },
  //   {error: new Error('404 - Image not found')},
  //   {value: '<the s3ImageUrl returned in the iteratee function corresponding to another-fine-image.jpg>' },
  //   ......
  // ]
  
  return results
}
  • Example 2
const foods = {
  orange: ['anything1'],
  apple: 'anything2',
  banana: 100
}

processFoods(foods).then(successFn).catch(errorCallback)

async function processFoods(foods) {

  const parallelLimit = 2 // process at most 2 food simultaneously
  
  const results = await asyncParallelForEach(foods, parallelLimit, async (value, foodName) => {
    
    // if foodName === 'orange', then value will be ['anything1']
    // if foodName === 'apple', then value will be 'anything2'
    // if foodName === 'banana', then value will be 100
    
    const someResult = await someAsyncOperation(value)
    
    return someResult
    
  }, { 
    times: 3,  // try at most 3 times
    interval: BACK_OFF_RETRY.randomBetween(100, 3000)
  })
  
  // results is in format {
  //   orange: {value: '<someResult>' },
  //   apple: {value: '<someResult>' },
  //   banana: {error: new Error('some error if any')}
  // }
  
  return results
}

Example

Please check the "example" folder in this repo

  • How to run the example:
git clone https://github.com/Donaldcwl/async-parallel-foreach.git
cd async-parallel-foreach/example
yarn install # or npm install
node example.js

TODO FEATURES

  • get current status in the iteratee function e.g. currentTrial, isFirstTrial, isLastTrial, timeElapsed, failedReasons, incrementMaxTry
  • eachTrialTimeout, eachItemTimeout
  • run iteratee function in web worker for CPU intensive tasks (use tiny-worker for node.js)