Respect\Data allows you to use multiple, cooperative database mapping with a single solid API. You can even mix out MySQL and MongoDB databases in a single model.
This project is a work in progress
Please use PEAR. More instructions on the Respect PEAR channel
The main component for Respect\Data are Collections. They define how data is grouped in your application.
In the example below, we're declaring two collections for dealing with a news portal:
<?php
$articles = Collection::article();
$authors = Collection::article()->author();Currently, Respect\Data has two planned backend implementations: Respect\Relational for relational databases like MySQL and SQLite and Respect\Structural for MongoDB databases. These are different mappers that use the Respect\Data model.
Below is a sample of how to retrieve all authors from the author 5:
<?php
$mapper->article->author[5]->fetchAll();- On the Relational backend, Respect would automatically build a query similar to
SELECT * FROM article INNER JOIN author ON article.author_id = author.id WHERE author.id = 5. - On the Structural backend for MongoDB, the generated internal query would be something
like
db.article.find({"author.id":5}, {"author":1});.
Besides fetching data from databases, Respect\Data is expected to deal with several other scenarios:
- Persisting data into collections
- Using backend-native extra commands in queries
- Declaring shortcuts for large collection declarations
- Handling composite mapper backends
Copyright (c) 2009-2012, Alexandre Gomes Gaigalas. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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