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  • Language
    JavaScript
  • License
    MIT License
  • Created over 8 years ago
  • Updated about 1 month ago

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Repository Details

Batching and simplification of Sequelize with facebook/dataloader

dataloader-sequelize

Batching, caching and simplification of Sequelize with facebook/dataloader

How it works

dataloader-sequelize is designed to provide per-request caching/batching for sequelize lookups, most likely in a graphql environment

API

createContext(sequelize, object options)

  • Should be called after all models and associations are defined
  • sequelize a sequelize instance
  • options.max=500 the maximum number of simultaneous dataloaders to store in memory. The loaders are stored in an LRU cache

Usage

import {createContext, EXPECTED_OPTIONS_KEY} from 'dataloader-sequelize';

/* Per request */
const context = createContext(sequelize); // must not be called before all models and associations are defined
await User.findById(2, {[EXPECTED_OPTIONS_KEY]: context});
await User.findById(2, {[EXPECTED_OPTIONS_KEY]: context}); // Cached or batched, depending on timing

Priming

Commonly you might have some sort of custom findAll requests that isn't going through the dataloader. To reuse the results from a call such as this in later findById calls you need to prime the cache:

import {createContext, EXPECTED_OPTIONS_KEY} from 'dataloader-sequelize';
const context = createContext(sequelize);

const results = await User.findAll({where: {/* super complicated */}});
context.prime(results);

await User.findById(2, {[EXPECTED_OPTIONS_KEY]: context}); // Cached, if was in results