npm install orm
Current stable version: 2.0.5
This is a node.js object relational mapping module.
An example:
var orm = require("orm");
orm.connect("mysql://username:password@host/database", function (err, db) {
if (err) throw err;
var Person = db.define("person", {
name : String,
surname : String,
age : Number,
male : Boolean,
continent : [ "Europe", "America", "Asia", "Africa", "Australia", "Antartica" ], // ENUM type
photo : Buffer, // BLOB/BINARY
data : Object // JSON encoded
}, {
methods: {
fullName: function () {
return this.name + ' ' + this.surname;
}
},
validations: {
age: orm.validators.rangeNumber(18, undefined, "under-age")
}
});
Person.find({ surname: "Doe" }, function (err, people) {
// SQL: "SELECT * FROM person WHERE surname = 'Doe'"
console.log("People found: %d", people.length);
console.log("First person: %s, age %d", people[0].fullName(), people[0].age);
people[0].age = 16;
people[0].save(function (err) {
// err.msg = "under-age";
});
});
});
If you're using Express, you might want to use the simple middleware to integrate more easily.
var express = require('express');
var orm = require('orm');
var app = express();
app.use(orm.express("mysql://username:password@host/database", {
define: function (db) {
db.define("person", { ... });
}
}));
app.listen(80);
app.get("/", function (req, res) {
// access db using req.db
req.db.models.person.find(...);
});
If you prefer, you can have direct access to the models you define.
// ...
app.use(orm.express("mysql://username:password@host/database", {
define: function (db, models, next) {
models.Person = db.define("person", { ... });
return next();
}
}));
// ...
app.get("/", function (req, res) {
req.db.Person.find(...);
});
This also allows you to asynchronously load the models.
Settings are used to store key value pairs. A settings object is stored on the global orm object and on each database connection.
var orm = require("orm");
orm.settings.set("some.deep.value", 123);
orm.connect("....", function (err, db) {
// db.settings is a snapshot of the settings at the moment
// of orm.connect(). changes to it don't affect orm.settings
console.log(db.settings.get("some.deep.value")); // 123
console.log(db.settings.get("some.deep")); // { value: 123 }
});
A Model is an abstraction over one or more database tables. Models support associations (more below). The name of the model is assumed to match the table name.
Models support behaviours for accessing and manipulating table data.
Call define on the database connection to setup a model. The name of the table and model is used as an identifier for the model on the database connection, so you can easily access the model later using the connection.
var Person = db.define('person', { // 'person' will be the table in the database as well as the model id
// properties
name : String, // you can use native objects to define the property type
surname : { type: "text", size: 50 } // or you can be specific and define aditional options
}, {
// options (optional)
});
Models can be in separate modules. Simply ensure that the module holding the models uses module.exports to publish a function that accepts the database connection, then load your models however you like.
Note - using this technique you can have cascading loads.
// your main file (after connecting)
db.load("./models", function (err) {
// loaded!
var Person = db.models.person;
var Pet = db.models.pet;
});
// models.js
module.exports = function (db, cb) {
db.load("./models-extra", function (err) {
if (err) {
return cb(err);
}
db.define('person', {
name : String
});
return cb();
});
};
// models-extra.js
module.exports = function (db, cb) {
db.define('pet', {
name : String
});
return cb();
};
Models can create their underlying tables in the database. You may call Model.sync() on each Model to create the underlying table or you can call db.sync() at a connection level to create all tables for all models.
// db.sync() can also be used
Person.sync(function (err) {
!err && console.log("done!");
});
If you want to drop a Model and remove all tables you can use the .drop() method.
Person.drop(function (err) {
!err && console.log("person model no longer exists!");
});
ORM2 allows you some advanced tweaks on your Model definitions. You can configure these via settings or in the call to define when you setup the Model.
For example, each Model instance has a unique ID in the database. This table column is by default "id" but you can change it.
var Person = db.define("person", {
name : String
}, {
id : "person_id"
});
// or just do it globally..
db.settings.set("properties.primary_key", "UID");
// ..and then define your Models
var Pet = db.define("pet", {
name : String
});
Pet model will have 2 columns, an UID and a name.
Other options:
cache : (default: true) Set it to false to disable Instance cache (Singletons) or set a timeout value (in seconds);autoSave : (default: false) Set it to true to save an Instance right after changing any property;autoFetch : (default: false) Set it to true to fetch associations when fetching an instance from the database;autoFetchLimit : (default: 1) If autoFetch is enabled this defines how many hoops (associations of associations)
you want it to automatically fetch.If you want to listen for a type of event than occurs in instances of a Model, you can attach a function that will be called when that event happens.
Currently the following events are supported:
afterLoad : (no parameters) Right after loading and preparing an instance to be used;beforeSave : (no parameters) Right before trying to save;afterSave : (bool success) Right after saving;beforeCreate : (no parameters) Right before trying to save a new instance;afterCreate : (bool success) Right after saving a new instance;beforeRemove : (no parameters) Right before trying to remove an instance.afterRemove : (bool success) Right after removing an instance;All hook function are called with this as the instance so you can access anything you want related to it.
To get a specific element from the database use Model.get.
Person.get(123, function (err, person) {
// finds person with id = 123
});
Finding one or more elements has more options, each one can be given in no specific parameter order. Only options has to be after conditions (even if it's an empty object).
Person.find({ name: "John", surname: "Doe" }, 3, function (err, people) {
// finds people with name='John' AND surname='Doe' and returns the first 3
});
If you need to sort the results because you're limiting or just because you want them sorted do:
Person.find({ surname: "Doe" }, "name", function (err, people) {
// finds people with surname='Doe' and returns sorted by name ascending
});
Person.find({ surname: "Doe" }, [ "name", "Z" ], function (err, people) {
// finds people with surname='Doe' and returns sorted by name descending
// ('Z' means DESC; 'A' means ASC - default)
});
There are more options that you can pass to find something. These options are passed in a second object:
Person.find({ surname: "Doe" }, { offset: 2 }, function (err, people) {
// finds people with surname='Doe', skips the first 2 and returns the others
});
If you just want to count the number of items that match a condition you can just use .count() instead of finding all
of them and counting. This will actually tell the database server to do a count (it won't be done in the node process itself).
Person.count({ surname: "Doe" }, function (err, count) {
console.log("We have %d Does in our db", count);
});
Similar to .count(), this method just checks if the count is greater than zero or not.
Person.exists({ surname: "Doe" }, function (err, exists) {
console.log("We %s Does in our db", exists ? "have" : "don't have");
});
offset: discards the first N elementslimit: although it can be passed as a direct argument, you can use it here if you preferonly: if you don't want all properties, you can give an array with the list of properties you wantIf you prefer less complicated syntax you can chain .find() by not giving a callback parameter.
Person.find({ surname: "Doe" }).limit(3).offset(2).only("name", "surname").run(function (err, people) {
// finds people with surname='Doe', skips first 2 and limits to 3 elements,
// returning only 'name' and 'surname' properties
});
You can also chain and just get the count in the end. In this case, offset, limit and order are ignored.
Person.find({ surname: "Doe" }).count(function (err, people) {
// people = number of people with surname="Doe"
});
Also available is the option to remove the selected items.
Person.find({ surname: "Doe" }).remove(function (err) {
// Does gone..
});
You can also make modifications to your instances using common Array traversal methods and save everything in the end.
Person.find({ surname: "Doe" }).each(function (person) {
person.surname = "Dean";
}).save(function (err) {
// done!
});
Person.find({ surname: "Doe" }).each().filter(function (person) {
return person.age >= 18;
}).sort(function (person1, person2) {
return person1.age < person2.age;
}).get(function (people) {
// get all people with at least 18 years, sorted by age
});
Of course you could do this directly on .find(), but for some more complicated tasks this can be very usefull.
Model.find() does not return an Array so you can't just chain directly. To start chaining you have to call
.each() (with an optional callback if you want to traverse the list). You can then use the common functions
.filter(), .sort() and .forEach() more than once.
In the end (or during the process..) you can call:
.count() if you just want to know how many items there are;.get() to retrieve the list;.save() to save all item changes.Conditions are defined as an object where every key is a property (table column). All keys are supposed
to be concatenated by the logical AND. Values are considered to match exactly, unless you're passing
an Array. In this case it is considered a list to compare the property with.
{ col1: 123, col2: "foo" } // `col1` = 123 AND `col2` = 'foo'
{ col1: [ 1, 3, 5 ] } // `col1` IN (1, 3, 5)
If you need other comparisons, you have to use a special object created by some helper functions. Here are a few examples to describe it:
{ col1: orm.eq(123) } // `col1` = 123 (default)
{ col1: orm.ne(123) } // `col1` <> 123
{ col1: orm.gt(123) } // `col1` > 123
{ col1: orm.gte(123) } // `col1` >= 123
{ col1: orm.lt(123) } // `col1` < 123
{ col1: orm.lte(123) } // `col1` <= 123
{ col1: orm.between(123, 456) } // `col1` BETWEEN 123 AND 456
Model instances are cached. If multiple different queries will result in the same result, you will get the same object. If you have other systems that can change your database (or you're developing and need to make some manual changes) you should remove this feature by disabling cache. This can be done when you're defining the Model.
var Person = db.define('person', {
name : String
}, {
cache : false
});
The cache can be configured to expire after a period of time by passing in a number instead of a boolean. The number will be considered the cache timeout in seconds (you can use floating point).
To insert new elements to the database use Model.create.
Person.create([
{
name: "John",
surname: "Doe",
age: 25,
male: true
},
{
name: "Liza",
surname: "Kollan",
age: 19,
male: false
}
], function (err, items) {
// err - description of the error or null
// items - array of inserted items
});
An association is a relation between one or more tables.
Since this topic brings some confusion to many people including myself, here's a list of the possibilities supported by both types of association.
hasOne : it's a Many-to-One relationship. A.hasOne(B) means A will have one (or none) of B, but B can be
associated with many A;hasMany: it's a One-to-Many relationship. A.hasMany(B) means A will have none, one or more of B. Actually
B will be associated with possibly many A but you don't have how to find it easily (see next);hasMany + reverse: it's a Many-to-Many relationship. A.hasMany(B, { reverse: A }) means A can have none or
many B and also B can have none or many A. Accessors will be created in both models so you can manage them from
both sides.If you have a relation of 1 to 0 or 1 to 1, you should use hasOne association. This assumes a column in the model that has the id of the other end of the relation.
var Person = db.define('person', {
name : String
});
var Animal = db.define('animal', {
name : String
});
Animal.hasOne("owner", Person); // assumes column 'owner_id' in 'animal' table
// get animal with id = 123
Animal.get(123, function (err, Foo) {
// Foo is the animal model instance, if found
Foo.getOwner(function (err, John) {
// if Foo animal has really an owner, John points to it
});
});
If you prefer to use another name for the field (owner_id) you can change this parameter in the settings.
db.settings.set("properties.association_key", "id_{name}"); // {name} will be replaced by 'owner' in this case
Note: This has to be done prior to the association creation.
For relations of 1 to many you have to use hasMany associations. This assumes the existence of a separate join table that has 2 columns, each referencing the table in the association. Ideally, these would be foreign key relationships in your database.
var Person = db.define('person', {
name : String
});
Person.hasMany("friends"); // omitting the other Model, it will assume self model
Person.get(123, function (err, John) {
John.getFriends(function (err, friends) {
// assumes table person_friends with columns person_id and friends_id
});
});
The hasMany associations can have additional properties that are assumed to be in the association table.
var Person = db.define('person', {
name : String
});
Person.hasMany("friends", {
rate : Number
});
Person.get(123, function (err, John) {
John.getFriends(function (err, friends) {
// assumes rate is another column on table person_friends
// you can access it by going to friends[N].extra.rate
});
});
If you prefer you can activate autoFetch. This way associations are automatically fetched when you get or find instances of a model.
var Person = db.define('person', {
name : String
});
Person.hasMany("friends", {
rate : Number
}, {
autoFetch : true
});
Person.get(123, function (err, John) {
// no need to do John.getFriends() , John already has John.friends Array
});
You can also define this option globally instead of a per association basis.
var Person = db.define('person', {
name : String
}, {
autoFetch : true
});
Person.hasMany("friends", {
rate : Number
});
Associations can make calls to the associated Model by using the reverse option. For example, if you have an
association from ModelA to ModelB, you can create an accessor in ModelB to get instances from ModelA.
Confusing? Look at the next example.
var Pet = db.define('pet', {
name : String
});
var Person = db.define('person', {
name : String
});
Pet.hasOne("owner", Person, {
reverse : "pets"
});
Person(4).getPets(function (err, pets) {
// although the association was made on Pet,
// Person will have an accessor (getPets)
//
// In this example, ORM will fetch all pets
// whose owner_id = 4
});
This makes even more sense when having hasMany associations since you can manage the Many-to-Many associations
from both sides.
var Pet = db.define('pet', {
name : String
});
var Person = db.define('person', {
name : String
});
Person.hasMany("pets", Pet, {
bought : Date
}, {
reverse : "owners"
});
Person(1).getPets(...);
Pet(2).getOwners(...);
FAQs
NodeJS Object-relational mapping
The npm package orm receives a total of 639 weekly downloads. As such, orm popularity was classified as not popular.
We found that orm demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
Socket researchers have discovered malicious npm packages targeting crypto developers, stealing credentials and wallet data using spyware delivered through typosquats of popular cryptographic libraries.
Security News
Socket's package search now displays weekly downloads for npm packages, helping developers quickly assess popularity and make more informed decisions.
Security News
A Stanford study reveals 9.5% of engineers contribute almost nothing, costing tech $90B annually, with remote work fueling the rise of "ghost engineers."