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hedy

v0.0.1

Published

functional ORM

Downloads

7

Readme

hedy - a functional ORM

Let's face it: Node's ORMs are crap. Mostly at least. But JavaScript is an awesome language. So why? Because we did it wrong. To much class-ish stuff like backbone. And prototypal inheritance, which is bad.

We want to fix this!

Initialisation

var hedy = require('hedy');
var mem = require('hedy/adapter/mem');

var store = hedy(adapter);

The adapter is a function that is called when a query is fired. It gets the query options-object as parameter. This is a database-specific function. In this case we user the build in memory adapter. In the future we want to create adapter for various databases. The goal is that it's really easy to create one for you specific datastore.

See the existing adapters how this works.

Creating Models/Collections/Whatever-you-call-them

..., we just call it query.

var userQuery = store('user') // 'user' is the tablename

The query is a monad-ish structure. You can call methods on it and it returns another query with the method applied. The original query remains untouched. Unter the hood this is done using immutable.js.

Fetch array of things

userQuery.where(where).then(function(users) {
  // Array of POJOs containing user data
});

The where can be omitted, in this case all items where fetched. The query will only run, if you call then on it. This allows lazily fetch things.

There are also some utility functions that might be usefull. They can be called on the query without actually fetching it.

userQuery.where(where).map(fn1).filter(fn2).then(function(users) {
  // Array of POJOs containing user data
});

The map and filter will be applied onto the fetched collection in the order as they are applied to the query. They may return a promise.

Because all that is lazy you might do the following:

var usersWithLongNames = userQuery.filter(function(user) {
  return user.name.length > 10;
})

var femaleUsersWithLongNames = usersWithLongNames.filter(function(user) {
  return user.gender === 'female'
})

var kidsWithLongNames = usersWithLongNames.filter(function(user) {
  return user.age < 10;
})

var namesOfKidsWithLongNames = kidsWithLongNames.map(function(user) {
  return user.name;
});

// if you now need the names of the kids:
namesOfKidsWithLongNames.then(function(names) {
  // there you have it.
});

Sure, in some of those cases the database might do the heavy lifting, but there are cases where code can express much more then a database query. Also code reuse and composition can lead to great improvements here.

Currently there are only a few methods build in: map, reduce, groupBy, indexBy. It's easy to add your own method there. In the upper example lodashs pluck might be a good choice to get the user name:

var store = hedy(adapter, {
  methods: {
    pluck: require('lodash/collection/pluck');
  }
});

In this case we add the pluck-function of lodash. Now we can do

userQuery.pluck('name').then(function(usernames) {
  // usernames = ['heiner', 'klaus', 'birgit'];
});

Fetch one thing

userQuery.get(id).then(function(user) {
  // POJO containing user data
});

Create one thing

userQuery.save(data).then(function(user) {
  // POJO containing user data
});

Update one thing

userQuery.save(id, data).then(function(user) {
  // POJO containing user data
});

Relations

Relation are a key part of ORMs. In most ORMs relations can only be in the same database. Hedy as a different approach on this. Relations are defined as querys. Let's look at an example:

var data = {
  user: [
    { id: 1, name: 'heiner' },
    { id: 2, name: 'klaus' },
    { id: 3, name: 'manfred' }
  ],
  comment: [
    { id: 1, userId: 2, text: 'gorgeous' },
    { id: 2, userId: 3, text: 'nice' },
    { id: 4, userId: 1, text: 'splended' },
    { id: 5, userId: 2, text: 'awesome' }
  ]
};
var adapter = memAdapter(data);
var store = hedy(adapter);

var userQuery = store('user');
var commentQuery = store('comment');

Here we have a memory db containing users and their comments.

To fetch the users with the comments we do:

userQuery.withRelated(hedy.hasMany(commentQuery)).then(log);

As you see, we use a helper to declare a to-many-relation and give a query as parameter. The query does not have to request to the same database, so this is perfectly possible.

var memQuery = hedy(memAdapter(data));
var pgQuery = hedy(pgAdapter(config));

var userQuery = memQuery('user');
var commentQuery = pgQuery('comment');

userQuery.withRelated(hedy.hasMany(commentQuery)).then(log);

For a more advanced example see the examples in the examples folder.

Current state

This is pretty much WIP. The basics are done. Now it's time to write the adapters. First one will be a memory-adapter. Then we first add a postgres adapter since this is the DB we're using in out project.

Hope you like it.

If you have any ideas, feel free to create a PR/Issue.