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asyncier

v0.1.1

Published

A helper library for working with async iterables in JavaScipt

Downloads

8

Readme

Asyncier

A helper library for working with async iterables in JavaScipt

Built with Typescript

Installation

npm install asyncier

Functions

fetchNext

Wraps an AsyncIterable so that when a record is fetched the next one is immediately requested. This can be used to eliminate latency by waiting on the next page of data while the previous one is being processed. This will only request one record at a time and will never make multiple concurrent calls.

Arguments

items: AsyncIterable<T> Async list if items

returns AsyncIterable<T> Async list of items where 1 record is always pre-requested

Example

import { fetchNext } from 'asyncier';

const pages: AsyncIterable<MyData> = loadFromServer(...);
const prefetched = fetchNext(pages);

for await (const page of prefetched) {
  await writeData(page);
}

// Without pre-fetching there is a lot of latency
// Load   1===     2===      3===      4===      5===
// Write       1===     2===      3===      4===      5===

// Pre-fetching removes latency
// Load 1=== 2=== 3=== 4=== 5=== 6=== 7=== 8=== 9===
// Save      1=== 2=== 3=== 4=== 5=== 6=== 7=== 8=== 9===

For most scenarios you will only need to pre-load one page. However if you'd like to buffer mulitple pages you can do so by pipe-ing fetchNext to itself multiple times. Calls will still be made sequentially so you will never have multiple concurrent calls pending, but it will continue attempting to load additional pages into memory until the minimum is met.

import { fetchNext } from 'asyncier';
import { pipe } from 'ramda';

// Fetch up to 3 pages of data and hold in memory
const fetch3 = pipe(fetchNext, fetchNext, fetchNext);

const pages = loadFromServer(...);
const prefetched = fetch3(pages);

for await (const page of prefetched) {
  await writeData(page);
}

This is not an optimized approach so it should be limited to a few calls. If you need to buffer many objects you are probably better off implementing a custom Stream.