MAL MongoDB Access Layer. A MongoDB wrapper using the native-node-driver

MAL (Simple MongoDB Access Layer) v0.2

MAL provides an easy way to preform operations on a MongoDB instance. mongodb / node-mongodb-native -- sits on mongodb / node-mongodb-native function calls

As a general rule function calls take the format of ('collectionname', ...>>> same rules for params as node-mongodb-native);
*exceptions being the two streams calls where the last parameters are always the writebale stream for streamPipe 
    or readable stream for streamEvents.
** no callback if none is desired but set {safe:false} etc.. same as node-mongodb-native.

To create and instance of MAL

  1. Create a dbSettings object

//example dbSettings Object.

var dbsettings = {
    host: 'host ip or name',
    port: port number,
    db: 'database name',
    options: {auto_reconnect: true},
    username: '...',
    password: '...'

//username and password are required only if there is authentication, 
//if there is no authentication required remove the properties from the object.

var dbsettings = {
    host: 'host ip or name',
    port: port number,
    db: 'database name',
    options: {auto_reconnect: true}
  1. var dbManager = new MAL(dbsettings, optionalCallback);

optionalCallback is a function that is takes an connected mongoDB server as a parameter.

No CallBack required.

var dbManager = new MAL(dbsettings);

Callback required


function optionalCallback(db){
  var callback = function(err, collection){
    collection.find({status:1}, {id:1..}).toArray(function(error, result) {
        if (error) {
        else {
            //do something with result

  db.collection('matches', function(error, collection) {
    if (error) callback(error);
    else callback(null, collection);

var dbManager = new MAL(dbsettings, optionalCallback);

For another example see in test0.js in tests.

`Obvious 'thing' is optionalCallBack doesn't use the MAL class but rather requires the user to get the collection ref 
and then preform the method call using node-mongodb-native directly for both.`
  1. Function calls

Function calls to the MAL instance follow the same pattern as node-mongodb-native the exception being 
that all the first paramater is the name of the collection being queried.

The first parameter is always the collection name, followed by parameters expected by node-mongodb-native


var dbManager = new MAL(dbsettings);
dbManager.find ('col1', {name : 'name'}, {_id:0}, function(err,result){...}); 

//List of calls available in v0.2
.find(collectionName, query, fields, options, callback)
.findOne(collectionName, query, callback)   
.insert(collection_Name, query, options, callback) 
.save = function(collectionName,obj, callback)
.update = function(collectionName, criteria, update, options, callback) 
.remove = function(collectionName, criteria, callback)
.findAndModify = function(collection_Name, criteria, sort, update, options, callback)
// for Stream methods last parameters must be the writable or readable streams.
.streamPipe = function(collectionName, query, fields, options, wrStream)
.streamEvents = function(collectionName, query, fields, options, xStream)
  1. Streaming Functionality.

MAL provides two streaming methods. (see examples).

var dbManager = new MAL(dbsettings);

 a) streamPipe. (see stream in examples)
    //function(collectionName, query, fields, options, wrStream) {...
    // the first argument is always a collectionName
    // the last
    //this calll will return everything from 'col1' 
    //and pipe the results to wrStream where wrStream is a writable stream like response or a tcp socket.

 b) streamEvents.( see sse in examples);
    //lets say we are streaming to serversent events.
    //create a readable stream
    var dbStream = new stream.Stream();
    dbStream.readable = true;
    //pass it into the streamEvents function
    res.writeHead(200, {
      'Content-Type': 'text/event-stream',
      'Cache-Control': 'no-cache',
      'Connection': 'keep-alive'
    //flush headers
    //and listen on events
    dbStream.on('data', function(data) {
      res.write('data: ' + JSON.stringify(data) + '\r\n\r\n');
    dbStream.on('end', function() {

see 'server sent events' example on cloudfoundry nodejs using a mongolab mongoDB instance streaming 4.8mb of tweets to the browser with Server Sent Events.

To populated data, pulled tweets from a twitter account that has volume tweets and stuck them in a mongoDB at mongolab.

  1. ToDo.

1. Write more tests
2. Write examples
3. Add mapReduce and other calls
4. Take it from there.