Rekord is an ORM - a way to define properties and relationships - that interacts with local storage, a RESTful service, and a real-time service. Rekord does this in a generic way so you can use any libraries you wish or your own implementation - making it very easy to integrate into your existing projects. Rekord's design allows for offline capable and real-time applications if desired - offering complete control over how and where your data is stored. Rekord is the most powerful client-side Model/Active Record/ORM you'll find guaranteed - or your money back!
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Features
- Relationships
hasOne
,belongsTo
,hasMany
,hasManyThrough
,hasRemote
,hasList
, &hasReference
- Polymorphic relationships for
hasOne
,belongsTo
&hasMany
- Validation (59 rules, 6 expressions, 14 transforms, and custom functions) through rekord-validation
- Migrations through rekord-migrations
- "Sessions" through rekord-session
- Batch REST execution for any/all types and operations
- Inheritance (with
extend
option) - Horizontal scaling with
shard
ing - Supports composite keys
- Purging algorithms and "Contexts" to control memory/local storage usage
- Specify default values
- Handle collisions with a "revision" field
- Handle propagating primary key changes returned by the server
- Automatically refresh when application becomes online
- Cache no data, all data, or only pending changes
- Send only changed values to REST/real-time APIs or entire object
- Convert values between client & server data types
- Easily order by field, combination of fields, custom function, or expression
- Use "Projections" to define subsets of data for efficient use
- Control what information from relationships (if any) is stored locally or sent to the REST api
- Add dynamic fields to model objects (setting & getting)
- Data returned from REST calls or real-time events is intelligibly merged to avoid overwriting local unsaved changes
- Add
updated_at
andcreated_at
timestamps and their automatic behavior with a single option - Configurable date/timestamp transformations
- Add custom methods to the model objects
- Asynchronous methods return Promises which can be chained together
- Load bootstrapped data with
model.boot( model or array of models )
- Execute searches (fields are sent to REST API and an array of models is expected) with
model.search( query, options, ... )
- Execute paginated searches
- Add global event listeners to the "database" or all model instances
- Stores data locally through
Rekord.store
interface (ex: storkjs) - Stores data remotely through
Rekord.rest
interface (ex: angular, jquery, ajax, pouchdb, firebase, knexjs) - Real-time changes through
Rekord.live
interface (ex: pubsub, pouchdb, firebase) - Create a live filtered view of any collection
- Create a live paginated view of any collection
- All collections have the following notable operations: sort, page, filtered, where, subtract, intersect, complement, clear, removeWhere, min, max, first, last, sum, avg, count, pluck, reduce, random, chunk, reverse, & group
- Model collections have the following notable operations: removeWhere, update, updateWhere, & saveWhere
FAQ (client-side usage)
-
Does Rekord directly interact with a database?
No, of course not. It interacts with a REST API. -
Why do I need to use Rekord?
Working with relational data in javascript can be painful. Rekord eases that pain by allowing you to use plain looking objects that can have any type of relationship with other objects. Rekord takes into consideration things like foreign keys - where you need object A successfully remotely saved before you can save object B. These types of constraints are ugly and bothersome to handle yourself and easily result in bugs. If you're familiar with server-side ORMs, then Rekord should be really easy to pick up. You'll find all the same features and even more! -
How are ID collisions avoided?
The key for a model can be given when creating a model - otherwise the key will be given a UUID. This is necessary to be offline capable, models need keys so related models can reference it. If thekeyChanges
option is used the server can return a different key (like an auto-incrementing value) and the key changes will be propagated to all references to that model (foreign keys). -
What do you mean by capable?
Caching data/changes locally and real-time behavior is optional - if you don't want either feature then you don't need to include an implementation. -
Rekord can handle horizontal scaling via sharding?
Yes! You can say models of type X can exist on REST endpoints A, B, & C. You can provide a function which takes a model and returns the set of REST endpoints that need to be sent saves/removes. When you query on a sharded type it can contact all REST endpoints and combine the results. -
Why do some functions in the API start with $?
TheRekord.Model
andRekord.Search
classes can have custom properties therefore to avoid collisions the functions and private variables start with$
. If your design includes properties likestatus
,operation
,db
,relations
, etc it won't interfere with Rekord.
Installation
The easiest way to install rekord is through bower via bower install rekord
.
rekord.js
is387KB
(68KB
gzipped)rekord.min.js
is115KB
(29KB
gzipped)
Examples
Examples exist in a separate project: https://github.com/Rekord/rekord-examples
Bindings
Bindings are used to implement core pieces of functionality in rekord - these interfaces allows any library to work with rekord.
- Angular - implements
Rekord.rest
and addsRekord.Sync
- React - adds
Rekord.Sync
- StorkJS - implements
Rekord.store
- PubSub - implements
Rekord.live
- Firebase - implements
Rekord.store
,Rekord.rest
, &Rekord.live
- PouchDB - implements
Rekord.store
,Rekord.rest
, &Rekord.live
- jQuery - implements
Rekord.rest
- Ajax - implements
Rekord.rest
, dependency free - Knex.JS - implements
Rekord.rest
on the server-side - Debugging - implements
Rekord.debug
Add-Ons
Add-Ons add new functionality to Rekord.
- Validation - adds
validation
option - Migrations - adds
Rekord.migration
function - Sessions - adds
Rekord.Session
class
Rekord's Life Cycle:
Documentation
The main documentation is located here. Additional documentation can be found here: