npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

dla

v1.0.0

Published

node.js data loader with caching and support of lists

Downloads

46

Readme

What is dla

It's data loading library, which can live between your API implementation (e.g. graphql) and database layer. It operates on elements and lists of elements.

You implement getters for elements. dla tries to run them as seldom as possible, grouping single get requests into batches. So, you can make a plenty of asynchronous data requests building nodes for your graphql response tree. dla runs your getter once.

dla supports caching. You can use one of cache wrappers to cache elements locally, in memcache, redis or write your own one. There are methods to invalidate cache. You just need to call them in places, where your data is changed.

dla supports lists. You can specify custom filters to load lists of items.

It caches lists too. Actually it caches ids of elements. Cache of list is invalidated as soon as cache of any of its element is invalidated. In some more complex cases, you are able to define custom invalidation rules for lists, to invalidate them easily.

Simple collection

Collection is a key-value storage. It allows you to retrieve elements by their ids.

Id is a string.

You are not required to have id property in your element interface. It can be called as you want, have any type or it can even be calculated from other fields. But you should be able to identify and load any element by its unique string id. You are also required to provide extractId method to extract id from your element.

Define

import {Collection} from 'dla';

interface User {
    id: string;
    name: string;
    age: number;
}
const collection = new Collection<User>({
    extractId: (user) => user.id,
    loadFew: async (ids) => {
        // load data by ids from your db... or somewhere
        // return { id1: User, id2: User, ... } or [User, User, ...];
    },
});

Method loadFew should return:

  • object, where keys are element ids and values are elements
  • or array of elements in arbitrary order. In this case method extractId will be internally used to match elements to their ids.

E.g.

import {Collection, index} from 'dla';
interface User {
    _id: string;
    name: string;
    age: number;
}
const collection = new Collection<User>({
    extractId: (user) => user._id,
    loadFew: async (ids) => {
      return await mongoDb.collection('users').find({
          _id: {$in: ids},
      }).toArray(),
    },
});

Load one element

collection.getOne('47').then((user) => ...)

Load few elements

collection.getFewAsArray(['47', '58']).then((users) => {
    // users = [User, User]
})

or

collection.getFewAsMap(['47', '58']).then((users) => {
    // users = {'47': User, '58': User}
})

Listable collection

ListableCollection implements Collection functionality.

Also it allows you to define custom filter to load list of elements.

You can define only one filter for collection. So if there are a couple of ways to load list, your filter should combine all of them.

Define

import {ListableCollection} from 'dla';
interface User {
    id: string;
    email: string;
    age: number;
}
interface UserFilter {
    email?: string;
    olderThan?: number;
}
const collection = new ListableCollection<User, UserFilter>({
    extractId: (user) => user.id,
    loadFew: async (ids) => {
        // load data by ids from your db... or somewhere
        // return [User, User, ...];
    },
    loadList: async (filter) => {
        // load list from your db using custom filter
        // return [ User, User, ... ]
    },
});

Load list of items

collection.getList({age: 23}).then((users) => {
    // users = [User, User, ...]
})

Caching

Internal cache

Collection uses internal cache for elements by their id. So it doesn't send more than one request for the same element. Even if you try to load them simultaneously.

Because of that, it's important to create new collection instance for each context. E.g. if you use it with graphql or restful API, you may want to create collection instance for each user request.

External cache

dla does not uses external cache by default.

But you are able to use one of the ready to use cache implementations or implement your own. To use cache you should pass property cache to constructor of Collection or ListableCollection.

import {ListableCollection, MemoryCache} from 'dla';
interface User {
    id: string;
    email: string;
    age: number;
}
interface UserFilter {
    email?: string;
    olderThan?: number;
}
const cache = new MemoryCache();
const collection = new ListableCollection<User, UserFilter>({
    cache,
    extractId: (user) => user.id,
    loadFew: async (ids) => {
        // load data by ids from your db... or somewhere
        // return [User, User, ...];
    },
    loadList: async (filter) => {
        // load list from your db using custom filter
        // return [ User, User, ... ]
    },
});

Invalidate single element cache

collection.clearCache('47')

or

collection.clearCache(['47', '48', '49'])

Invalidate cache for lists of elements

As dla caches list as list of element ids, cache of list is invalidated as soon as cache of any of its elements is invalidated. So, e.g. if price of your shopping cart item has been changed, and you invalidate cache for this item, all caches of lists which contain this item are invalidated automatically.

However, sometimes it's not enough. For example: user clicks "like" button on some item. You want to invalidate list of his favourite items to put a new one item there. But no one of items which currently placed in his favourites list has been changed during this action.

In this case you can use invalidation tag.

List of retrieved items can be "tagged" by few invalidation tags. Tag is some string value. In appropriate places you can invalidate all caches tagged by some tag.

So, for user with id=48 you can tag list of their favourite items with a tag "favouriteForUser-48". Any time when user with id=48 clicks "like" button, you can invalidate appropriate tag. All caches with this tag will be invalidated.

Let's say, you have following collection:

interface Item {
    id: string;
    name: string;
    price: number;
}
interface ItemFilter {
    favouriteForUser?: string; // user id
}

const collection = new ListableCollection<Item, ItemFilter>({
    extractId: (item) => item.id,
    loadFew: (ids) => {
        // return [Item, Item, ...];
    },
    loadList: (filter) => {
        if (filter.favouriteForUser) {
            // loads items from users favourites list
            // return [ Item, Item, ... ]
        }
    },
});

First of all, to use invalidation tags, your should define method invalidationTags in ListableCollection options which takes filter and returns list of invalidation tags.

// ...
const collection = new ListableCollection<Item, ItemFilter>({
    cache: new MemoryCache(),
    extractId: (item) => item.id,
    loadFew: (ids) => {
        // return [Item, Item, ... ];
    },
    loadList: (filter) => {
        if (filter.favouriteForUser) {
            // loads items from users favourites list
            // return [ Item, Item, ... ]
        }
    },
    invalidationTags: (filter) => {
        if (filter.favouriteForUser) {
            return [`favouriteForUser-${filter.favouriteForUser}`]
        }
        return [];
    },
});

Now, any time you load favourites list, doing:

collection.getList({favouriteForUser: '48'}).then((items) => ...)

dla caches this list and "attaches" tag "favouriteForUser-48" to this cache. Whenever, user clicks like/dislike button, you can just call:

collection.invalidateCacheTag(`favouriteForUser-${userId}`)

to invalidate all caches tagged by this tag.

Actually, ListableCollection uses three types of cache: objectCache, listCache and invalidatorCache. Collection uses only first one: objectCache. You can pass cache objects separately for each type, using appropriate properties in constructor options object. When you pass cache property, this cache will be used for all cache types, but different prefixes will be added to keys of different types of cache.