Data-mullet

Data-mullet is a NoSQL-style API for SQL databases

Data-mullet Home Page
Note: Users of the CouchDB-PHP combo will have to download and include the required library files for CouchDB to work with PHP. They can be found here. The requires files are lib/couch.php, lib/couchClient.php, and lib/couchDocument.php.

Example

Insert a document and create a new column named 'x' in the SQL database

PYTHON

str = POST("https://user:[email protected]/users/stuff/_insert'",
                   params = {'docs' : '[{"x" : "1"}]'},
                   async = False )

CURL

curl -X POST -u user:pwd --data 'docs=[{"x":1}]' 'https://datamullet.com/users/stuff/_insert'

PHP

$conn = new Mullet;
$coll = $conn->users->stuff;
$doc = array( 
   "x" => 1
);
$coll->insert( $doc );

Installation

Unzip the archive and copy Mullet.php to your Web root:

tar xvzf datamullet-0.1.tar.gz
cd datamullet-0.1
cp Mullet.php /path/to/htdocs/

Connect to a remote or local MySQL/CouchDB/MongoDB/PostgreSQL/SQLite

Local:

  To connect to a local PostgreSQL database:
  
  BEFORE you include/require 'Mullet.php' add these lines:

  define( 'DATABASE_NAME', 		'my_data' 							);
  define( 'DATABASE_ENGINE', 		'pgsql' 						  );  // or mysql, mongodb, pgsql, couchdb, sqlite
  define( 'DATABASE_USER', 			'ben' 								);
  define( 'DATABASE_PASSWORD', 	'' 										);
  define( 'DATABASE_HOST', 			'' 							      );
  define( 'DATABASE_PORT', 			5432 									);

Remote:

.htaccess: (optional, if you want to use HTTP API as well as PHP API)

    If you want to set up the HTTP api, here is a .htaccess file that only works witha domain or subdomain (you will need a better .htaccess file to use the Data-mullet HTTP api [[[[ in a subfolder ]]]]).

    RewriteEngine on
    RewriteCond %{REQUEST_FILENAME} !^/index.php
    RewriteCond %{DOCUMENT_ROOT}/%{REQUEST_FILENAME} !-f
    RewriteRule ^/(.+)$ /index.php/$1

Roadmap

What we're working on:

Create some documentation
Set up a wiki
Contribute to http://datamullet.posterous.com

HTTP API

say "hello"

curl -X GET -u user:pwd 'http://example/_hello'

list of databases

curl -X GET -u user:pwd 'http://example/_all_dbs'

create a new database ("mydb")

curl -X PUT -u user:pwd 'http://example/mydb'

create collection ("mystuff") and insert a document ( 'x' => 1 )

curl -X POST -u user:pwd --data 'docs=[{"x":1}]' 'http://example/mydb/mystuff/_insert'

find a document

curl -X GET -u user:pwd 'http://example/mydb/mystuff/_find'

update a document

curl -X POST -u user:pwd --data 'criteria=[{"x":1}]&newobj=[{"x":2}]' 'http://example/mydb/mystuff/_update'

remove a document

curl -X POST -u user:pwd --data 'criteria=[{"x":1}]' 'http://example/mydb/mystuff/_remove'

PHP API

connect to back-end ("party")

$conn = new Mullet(); $conn = new Mullet('sqlite:/var/www/file');

create a database 'mydb' and collection 'mystuff' ("business")

$coll = $conn->mydb->mystuff;

insert document into database and create tables (mydb_mystuff) and fields (followers,profile,bookmarks)

$doc = array( "followers" => 1, "profile" => (object)array( "name" => "Fremont", "id" => 102 ), "bookmarks" => array( 09386, 5204785, 938175 ) ); $coll->insert( $doc );

find a document

$coll->findOne();

update mydb_mystuff set x = 2 where x = 1

$coll->update( array( 'x' => 1 ), array( 'x' => 2 ));

delete from mydb_mystuff where x = 1

$coll->remove( array( 'x' => 1 ));

find up to 15 documents

$cursor = $coll->find(array( "x" => 1 ));

foreach ($cursor as $id => $value) {

echo "$id: ";

var_dump( $value );

}

find up to 15 documents with criteria

$query = array( "x" => 1 );

$cursor = $coll->find( $query );

while( $cursor->hasNext() )

var_dump( $cursor->getNext() );

martinbenj / datamullet Goto Github PK

datamullet's Introduction

Data-mullet

Example

Insert a document and create a new column named 'x' in the SQL database

PYTHON

CURL

PHP

Installation

Unzip the archive and copy Mullet.php to your Web root:

Connect to a remote or local MySQL/CouchDB/MongoDB/PostgreSQL/SQLite

.htaccess: (optional, if you want to use HTTP API as well as PHP API)

Roadmap

HTTP API

say "hello"

list of databases

create a new database ("mydb")

create collection ("mystuff") and insert a document ( 'x' => 1 )

find a document

update a document

remove a document

PHP API

connect to back-end ("party")

create a database 'mydb' and collection 'mystuff' ("business")

insert document into database and create tables (mydb_mystuff) and fields (followers,profile,bookmarks)

find a document

update mydb_mystuff set x = 2 where x = 1

delete from mydb_mystuff where x = 1

find up to 15 documents

find up to 15 documents with criteria

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