MongoDB Realm for Glassfish

Saving user’s login and password into RDBMS is an extremely popular way for JavaEE applications to authenticate against. Most, if not all JEE application servers support JDBC realm out of the box.  Setting up a JDBC realm is quite easy. Here is one for Glassfish.

I’ve always wanted to use NoSQL database, and MongoDB in particular as a security realm. One big advantage, for me at least, Mongo have over its JDBC counterpart is that I don’t have to setup the group table with composite key. I found 2 implementation of MongoDB realm for Glassfish in github; see this and this. I’ll be adding my implementation to this lists.

How Glassfish Security Realm Works?

Before we use my MongoDB realm, lets take a look at how Glassfish handles security.

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Glassfish uses 2 components (or classes) to collect user’s credentials and authenticate users. To collect your username and password, Glassfish delegates that to Java Authentication and Authorization Service or JAAS. The Mongo JAAS (pronounce as Jazz) module is configured in $DOMAIN_DIR/config/login.conf file. You can see this on the top right corner in the above diagram. A JAAS entry consist of the name (mongodbRealm), also know as the JAAS context, and a FQCN of the login module (at.oneminutedistraction.mongodbrealm.MongoDBRealmLoginModule). See this document for an explanation of the required keyword.

The second step is to configure Glassfish so that it recognizes our MongoDB realm and to associated that with the login module. This is typically done in the admin console which we’ll look at later in this blog. For the time being, lets look at the actual configuration file. The domain.xml holds all information about a Glassfish domain. Again, you can find this file under $DOMAIN_DIR/config directory. A auth-realm defines a security realm. It defines 3 pieces of critical information; see the middle portion of the above figure

• classname attribute – a FQCN of the the class that implements this security realm. In our case this will be at.oneminutedistraction.mongodbrealm.MongoDBRealm.
• name attribute – a unique name for this realm (mongodb-realm here). This name will be referenced by our web application that uses this realm
• jaas-context property – the value of this property is the name of the MongoDB login module ( in login.conf file). This property associates the realm with the login module defined in . 

Now to use this realm in your web application, simply specify the realm name (mongodb-realm) in your web.xml.

Configuring MongoDB Realm

Step 1 – Copy JARs to Domain Directory

To use MongoDB realm, download the following 2 files

• MongoDBRealm – the compiled JAR (JavaSE 8) is available here. If you prefer to build it yourself, the source is available here.
• MongoDB Java driver – available here

Copy the 2 JARs into $DOMAIN_DIR/lib directory.

Step 2 – Add JAAS Entry to login.conf File

Edit $DOMAIN_DIR/config/login.conf file and add the following lines to the end of the file

mongodbRealm {
   at.oneminutedistraction.mongodbrealm.MongoDBRealmLoginModule required;
}

I’ve called the JAAS context as mongodbRealm. You can use any name you like just as long as its unique within the login.conf. Make a note of this name as we’ll need it when for creating the realm.

Step 3 – Configure MongoDB Realm in Glassfish

Start up Glassfish version 4.1 and must be running on JavaSE 8. Please make sure that Glassfish is using the same domain as in step 1 and 2 above. If you’re not sure, you can start Glassfish like so

asadmin start-domain -–domaindir /path/to/domain/dir domainname

Open up the admin console. This is usually localhost:4848

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and expand server-config, security as shown in the above figure. Next click on the Realm node.

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You should see a table with all the preconfigured realms. Click on the New to create a new realm.

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Define the MongoDB realm using the following values

• Name – mongodb-realm
• Class Name – at.oneminutedistraction.mongodbrealm.MongoDBRealm
• Add the following properties: name = jaas-context, value = mongodbReam. The value must correspond to the entry name in login.conf.

This will create the auth-realm entry in domain.xml. Click OK should instantiate the realm. Besides setting the jaas-context property, the following is an exhaustive list of parameters that you can set to configure MongoDB realm

• mongodbRealm.db – the name of MongoDB database name. The default name is mongodbRealm
• mongodbRealm.collection – the collection name. The default name is users
• jaas-context – the JAAS context. The default value is mongodbRealm
• mongodbRealm.clientFactory – this is the FQCN of the class that creates MongoClient instance of the realm. The default factory is at.oneminutedistraction.mongodbrealm.DefaultMongoClientFactory. There will be an explanation later that describes how you can implement your own client factory
• mongodbRealm.server – if you are using the default client factory, then this parameter specifies the list of servers that the MongoClient connects to. This is a list of space separated server:port numbers; for example localhost<space>myserver:1234<space>myotherserver connects to localhost, myotherserver and myserver at port 1234. The default value of this is localhost
• mongodbRealm.passwordManager – this is the FQCN that performs the password encryption. The default password manager class is at.oneminutedistraction.mongodbrealm.SHA256PasswordManager. We will explain how you can create your own password manager class to perform your password encryption
• mongodbRealm.algorithm – If you are using SHA256PasswordManager, you can set the value of this to either SHA-256 or SHA-512 which uses the respective hash algorithm for hashing user passwords. The default is SHA-256

Username, password and group information are stored in a JSON structure shown below

{ username: "fred",
password: "999f36dd648c74f52972745be2ee94c4b53c48639debbf310bfd5d5fc84ee4f6",
groups: [ "bedrock", "flintstones", "cartoon" ] }

There are 3 properties for each JSON document that describes a user; the username is the login name, the password is the SHA-256 hashed password (assuming I’m using the default password manager) and groups which holds an array of group names. All values are String. Property names viz. username, password and groups are not configurable.

The following code snippet shows how the above JSON is created using MongoDB’s Java API

BasicDBList groups = new BasicDBList();
groups.addAll(Arrays.asList(new String[]{"bedrock", "flintstones", "cartoon"}));
BasicDBObject fred = new BasicDBObject("user", "fred")
      .append("password", "999f3…d5d5fc84ee4f6")
      .append("groups", groups);

We can finally configure our web application to use the realm.

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When you are configuring container security for your web application, set the name of Realm Name to mongodb-realm.

Customizing MongoDB Realm

To accommodate the various MongoDB and password requirements, there are 2 interfaces you can implement. The first of these is MongoClientFactory.  The purpose of this interface is to allow you to have control over the creation of the MongoClient instance.The interface has the following methods

• void init(Properties prop) – This method is called when the factory in initialized. A Properties object is passed into the implementation. The property values comes from the values that you enter when you are creating the realm (see image above with New Realm header).
• MongoClient create() – This method creates the MongoClient instance using the properties from init(). Put your code to create MongoClient in here.

The second interface, PasswordManager, deals with password encryption and validation. It has the following methods

• void init(Properities prop) – Similar to MongoClientFactory
• String encrypt(String password) – Returns an encrypted version of the parameter
• boolean isValid(String encrypted, String password) – This method validates a password by testing the encrypted parameter against the password parameter

Once you’ve implemented either one or both of the above interfaces, bundle them in a JAR and drop them into $DOMAIN_DIR/lib directory. Now set the following two properties to the FQCN of you implementation  when you are configuring MongoDB;

mongodbRealm.clientFactory
mongodbRealm.passwordManager

 

On a separate note, its heartening to see that Glassfish application server now has commercial conterpart in the form of Payara. Its a drop in replacement for Glassfish and it’s build off Glassfish sources. Disclaimer: I’m not associated with Payara in any form save for the fact that I downloaded their application server this morning. There is even a cute Mario like Youtube video introducing it.

Till next time.

Screencast: Part 2 – JavaEE 7, Mongo, REST, Mobile

In the second part screencast, we will take the data news item stored in the Mongo database and expose that as RESTful reesources. When a request arrives it can specify the following 2 parameters in the query string

• oid – this is the object id of the document/record. This tells the REST resource to start returning the records from the specified oid. If the oid is missing then we will start from the very first record.
• batchSize – the number of records to return.

To allow the application server to potentially process a large number of records per request, we handle the retrieving and processing of the news items asynchronously. This is very similar in spirit to async Servlets; however unlike async Servlets, in async JAX-RS you need to provide a thread. This is where the concurrency utilities comes in.

Using @Suspended annotation, we get an instance of AsyncResponse. The AsyncResponse object is passed to a Runnable (our task) which is then dispatched to the ManagedScheduleExecutorSerivce. When the Runnable completes, it calls AsyncResponse.resume() to resume the suspended request.

 

 

The NetBeans project for part 2 is available here. You can find part 1 of this series here.

Till next time.

Screencast: Part 1 – JavaEE 7, Mongo, REST, Mobile

This is the first part of a 3 part blog/screencast on creating an end to end application that scrape data of a source and then re exposed these data as RESTful web services.

In the first part, we will look at pulling data into our web application.

In the second part, we will expose these data as RESTful web services

In the third and final part, we will write a mobile client to consume the web services.

The technologies that we will be using will be JavaEE 7 (tutorial), Mongo database and AngularJS/Ionic on the front end.

In this first part, we will be reading RSS feed from BBC Football site (the RSS feed is right at the bottom of the page). The feed entries are saved to Mongo. The following diagram illustrates this

 

The feed is read at regular interval. This feature is implemented using JavaEE 7’s ManagedScheduledExecutorService which is a thread pool managed by the application server.

JavaEE application servers supports the concept of connection pooling, in particular database connection pool. However this support only extends to RDBMS. So if you’re using NoSQL databases, then you’re out of luck. One solution is to implement custom resources like this particular example for Glassfish.

Luckily for us, MongoClient, the Mongo’s Java driver has an internal pool (and is thread-safe!). So we can create one instance of MongoClient and get this instance to dish out connection as and when its required. To using this instance as a singleton, we use CDI to wrap it in an ApplicationScoped object. This ApplicationScoped object ensures that only a single instance of MongoClient is created and used throughout the entire application.

The following screencast shows how we create the a JavaEE web application, read RSS feed from BBC Football website and save that into a Mongo database.

The source code can be found here.

Till next time.