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mapper

Lightweight, blazing fast ORM on top of mysql-libmysqlclient.


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Mapper

Mapper makes 80% of data access easy and provides unobtrusive access to SQL for the 20% complicated, speed-critical tasks.

Motivation

Current node.js ORMs try to add business logic to models with statics, virtual attributes, validations, pseudo-class inheritance. They're bloated. As an example, why have validations in the ORM when you could do validations in a separate module and share that between client and server? Simpler is better as development move towards single page apps, data services and shared code.

Speed and simplicity.

See mapper-obtvse example project

Install

To use mapper

npm install mapper

Quickstart

Conect to Database

var Mapper = require('mapper');
var conn = { user: 'dont', password: 'blink', database: 'now' };
Mapper.connect(conn);

Define Data Access Objects

// Table name and optional primary key
var Comment = Mapper.map("Comments")
  , Post = Mapper.map("Posts", "id");

Define Relationships

Post.hasMany("comments", Comment, "postId");
Comment.belongsTo("post", Post, "postId");

CRUD

var insertId;

Post.insert({ title: 'First Post' }).exec(function(err, result) {
    insertId = result.insertId;
});

Post.where({ id: insertId }).one(function(err, post) {
    assert.equal(post.title, 'First Post,');
});

Post.set({ title: 'New Title' }).exec(function(err, result) {
    assert.equal(result.affectedRows, 1);
});

Post.delete().where({ title: 'New Title' }).exec(function(err, result) {
    assert.equal(result.affectedRows, 1);
});

Gets the first page of posts and populate comments property with the second page of comments for each post retrieved.

Post
  .select('id', 'title', 'excerpt')
  .page(0, 25)
  .order('id DESC')
  .load('comments', function(c) {
    c.select('comment', 'createdAt')
     .order('id DESC')
     .page(1, 50);
  })
  .all(function(err, posts) {
    // boo-yah!
  });

OR, if you prefer SQL

var sql = ("SELECT id, title, excerpt FROM `Posts` \
            ORDER BY id DESC LIMIT 0, 25";

Post.all(sql, function(err, posts) {
  Post.load('comments', function(c) {
    c.sql("SELECT comment, createdAt FROM Comments ORDER BY id DESC LIMIT 1, 50");
  }).in(posts, function(err) {
    // boo-yah!
  });
});

Benchmarks

Time for 100,000 iterations alternating between insert and select. See test/bench or run make bench.

node-mysql-libmysqlclient   0m24.272s
mapper                      0m33.462s
node-mysql                  0m49.919s

The takeaway is mysql-libmysqlclient is a much faster driver than the widely used mysql driver. Mapper, which is based on mysql-libmysqlclient adds overhead yet outperforms the raw mysql driver.

Most test runs show mapper performing around 30% better than mysql driver.

Implementation Best Practice

A simple approach, without over-engineering your project, is to maintain 3 distinct layers in your code:

  1. Data Access Objects (DAO) - Responsible for interacting with the database. There should be 1 DAO for each table used by project.
  2. Models - A model uses one or more DAO adding business logic, validations as needed.
  3. Resources or Services - This layer should only use models never DAO.

On a more complex project where a few tables might be better stored in Redis for example, insert a Repository layer between DAO and models to insulate models completely from low-level data access.

FAQs

Package last updated on 09 Jun 2012

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