Matt RaibleMatt Raible is a writer with a passion for software. Connect with him on LinkedIn.

The Angular Mini-Book The Angular Mini-Book is a guide to getting started with Angular. You'll learn how to develop a bare-bones application, test it, and deploy it. Then you'll move on to adding Bootstrap, Angular Material, continuous integration, and authentication.

Spring Boot is a popular framework for building REST APIs. You'll learn how to integrate Angular with Spring Boot and use security best practices like HTTPS and a content security policy.

For book updates, follow @angular_book on Twitter.

The JHipster Mini-Book The JHipster Mini-Book is a guide to getting started with hip technologies today: Angular, Bootstrap, and Spring Boot. All of these frameworks are wrapped up in an easy-to-use project called JHipster.

This book shows you how to build an app with JHipster, and guides you through the plethora of tools, techniques and options you can use. Furthermore, it explains the UI and API building blocks so you understand the underpinnings of your great application.

For book updates, follow @jhipster-book on Twitter.

10+ YEARS


Over 10 years ago, I wrote my first blog post. Since then, I've authored books, had kids, traveled the world, found Trish and blogged about it all.
You searched this site for "hibernate". 408 entries found.

You can also try this same search on Google.

InfoQ's Top 20 Web Frameworks for the JVM

Back in early October, InfoQ.com published a community research article titled Top 20 Web Frameworks for the JVM. Their goal seemed to be fairly simple:

Using the new community research tool, we at InfoQ want to get YOUR opinions on the relative importance and maturity of a variety of web frameworks that are targeted for the JVM. Please vote by dragging each practice across two dimensions – how important is the framework relative to the other frameworks, and how much is it actually used in real teams and projects.

When I first saw this article, I noticed some strange web frameworks listed. Namely, Netty, SiteMesh and Spark. I haven't heard of many folks using Netty for a web framework, but I'm sure it's possible. SiteMesh is certainly not a web framework and I've never even heard of Spark. And where is GWT and Vaadin? Regardless of the choices, I went ahead and voted.

Last week, InfoQ posted their top content for October on Facebook.

First of all, it's interesting to see that JVM Web Frameworks is still a hot topic for developers. Whenever I do my Comparing JVM Web Frameworks talk at conferences, I always see a few jabs about "he's still doing that talk!?" Yes, it seems strange that a talk I first did in 2004 is still in high demand.

Secondly, I think InfoQ does good in showing how the frameworks ranked and showing their heatmaps. Below are their rankings from 1109 participants.

InfoQ's Top 20 Web Frameworks for the JVM

According to this research, the top 5 web frameworks for the JVM are Spring MVC, Play, Grails, JSF and Struts (I hope those surveyed meant Struts 2, not Struts 1).

In my research from last February (slide 21), I ranked them (with no particular weightings) as Grails, GWT, JRuby on Rails, Spring MVC and Vaadin. So I guess you could say I got 2 out of 5 right (Grails and Spring MVC). Not bad considering InfoQ didn't even consider GWT and Vaadin.

Another intriguing data point in this study is each frameworks' heatmap. For example, below are heatmaps for the top 4 frameworks.

Spring MVC Heatmap Grails Heatmap

Play Heatmap JSF Heatmap

Notice how Grails and Spring MVC are both hotter in the bottom right corner? It seems the community's overall opinions of these two frameworks are more aligned than JSF and Play, which a fair amount of folks rank as hyped and unimportant.

What I really like about this research is it's the community's opinions, visualized. It also confirms that some of my favorite frameworks are still on top. I don't know if JSF belongs as a top framework, however it seems a lot of folks do. I recently thought about removing it from AppFuse, but decided to keep it (at least for the next release). I hope InfoQ does more research projects like this, especially if they get their list of web frameworks right.

Posted in Java at Nov 06 2012, 12:04:28 PM MST 5 Comments

AppFuse News: GitHub, Hibernate Search and The Future

It's been a while since I've written anything about AppFuse, but since the project has had quite a bit of activity lately, now seems like a good time.

GitHub
First of all, we moved the source code from java.net to GitHub way back in June. Thanks to Serge for helping with this process and making it quick and painless. For some reason, shortly after moving, we started having quite a few build issues with Bamboo. I was able to diagnose the problem as not enough memory on our server. Thankfully, Contegix was able to add another 2GB of RAM to our box and get everything back up-to-snuff.

New Committer: J. Garcia
J. Garcia has been a regular voice on the users and developers mailing list for several months. He's recently started contributing a lot of patches in JIRA and seems genuinely interested in the success of AppFuse. That's why we voted and added him as a committer. To prove this was a smart move, he recently replaced Compass with Hibernate Search and upgraded to Hibernate 4. As part of this work, he removed iBATIS support, which brings me to my next point.

The Future
In mid-August, I sent an email to the community, asking them "Anyone using iBATIS?"

I'm thinking of replacing AppFuse's Data Tier with Spring Data, especially because it has NoSQL and REST support. There's a good intro on InfoQ today:

http://www.infoq.com/articles/spring-data-intro

Does anyone see an issue with this? The lack of iBATIS support could be an issue, but I doubt it since if we wanted to continue supporting it, we should move to MyBATIS.

Everyone agreed this was a good idea and it seemed like a logical time to remove iBATIS support. In addition, I posted a roadmap I jotted down in early May. Since we've missed all the dates so far, I've removed them from the listing below. We hope to get 1-2 releases done by the end of this year, with 2.2 in the next 2-3 weeks.

2.2
Hibernate 4
Hibernate Search
Bootstrap
H5BP

2.3
AMP for all light modules
Wicket
PrimeFaces

2.4
JSR 303 (might require removing or developing client-side support)
Mockito instead of jMock/EasyMock

2.5
AMP one-to-many
Spring Data
MyBatis (if there's interest in adding it back in)

2.6
wro4j for concatenation and minimizing JS and CSS
pjax - https://github.com/defunkt/jquery-pjax

2.7
Scala example
Gradle example
Article about examples

3.0
GWT

Maven Central Statistics
To prove there's still a fair amount of folks using AppFuse, here's some statistic from Sonatype's OSS Repository Hosting Service.

AppFuse Downloads

From this screenshot, you can see that AppFuse artifacts are downloaded around 7,000 times per month. The following graph is even more interesting. Apparently, around 3,000 new projects are created with AppFuse archetypes each month.

AppFuse Archetype Downloads

The AppFuse Name
Finally, I recently discovered that ShoreTel decided to name a new product AppFuse. I guess this signifies two things: 1) it's a good name for a product and 2) someone didn't do their research before naming it. At this point, I'm not too concerned, but it is an interesting development.

Posted in Java at Sep 25 2012, 10:42:14 AM MDT 5 Comments

Play vs. Grails Smackdown at ÜberConf

Play and Grails have been hyped as the most productive JVM Web Frameworks for the last couple of years. That hype has recently grown thanks to both frameworks' 2.0 releases. That's why James Ward and I decided to do a presentation at ÜberConf comparing the two. In April, we proposed the talk to Jay Zimmerman, got accepted and went to work.

How we did it
In the beginning of May, we met at a brewery in LoDo and sketched out the app we wanted to build. We also came up with a schedule for development and a plan for the presentation. We decided to build two different webapps, each with little-to-no Ajax functionality and a few features that we could use to load test and compare the applications.

We started out with the name “Happy Trails” since we both liked trails and happy hours. Later, James found that www.ubertracks.com was available and purchased the domain. We setup the Grails app to be on bike.ubertracks.com and Play/Java to be on hike.ubertracks.com. We managed our source code on GitHub, continuously tested on CloudBees and deployed to Heroku. Two weeks ago, when we were finishing up our apps, we hired a friend (Linsay Shirley) to do QA.

After fixing bugs, I emailed Patrick Lightbody, got some “cloud dollars” for Neustar Web Performance and started running load tests. The Wednesday before last, at 2 in the morning, I recorded a simple browsing regions and routes script and set it to go to 50 users over a 5 minute period and then sustain 50 for another 5 minutes. It was fun to watch the log messages whiz through my console so fast they got blurry. About halfway through testing the Grails app, there was an OOM issue, but it eventually recovered. Limiting db connections to 4 and scaling to 5 Dynos in future tests helped alleviate any issues.

We took our development experience, the load/performance testing data, and a bunch of ecosystem stats and built our smackdown presentation. We used reveal.js, GitHub Files and Google Charts to make things more dynamic.

What we found
We arrived at a number of conclusions after doing our research:

Code

  • From a code perspective, Play 2 and Grails 2 are very similar frameworks.
  • Code authoring was good in both, but lacking IDE support for Play 2's Scala Templates.
  • Grails Plugin Ecosystem is excellent.
  • TDD-Style Development is easy with both.
  • Type-safety in Play 2 was really useful, especially routes.

Statistical Analysis

  • Grails has better support for FEO (YSlow, PageSpeed)
  • Grails has less LOC! (6 lines less, but 40% more files)
  • 1 Dyno - Grails had 2x transactions!
    • Grails experienced OOM about halfway through.
  • Apache Benchmark with 10K requests:
    • Play: ~10% failed requests, Grails: 0
    • Requests per second: {Play: 170, Grails: 198}
    • Requests per second: {Play: 251, Grails: 198}
  • Load Test with 100 Real Users:
    • Grails: 10% more transactions, 0 errors

Ecosystem Analysis

  • "Play" is difficult to search for.
  • Grails is more mature.
  • Play has momentum issues.
  • LinkedIn: more people know Grails than Spring MVC.
  • Play has 3x user mailing list traffic.
  • We had similar experiences with documentation and questions.
  • Outdated documentation is a problem for both.
  • Play has way more hype!

We figured we spent around 100 hours developing the apps, gathering data and creating the presentation. The good news is it's all open source! This means you can clone the project on GitHub (Grails is in the grails2 branch, Play is in the play2_java branch) and help us improve it. The presentation is in the master branch in the preso directory.

All the data we gathered is open for debate and we’d love to tune our apps to handle more requests per second. In fact, we already had a contributor discover an issue and provide a fix for Play that increases its throughput from 170 req/second to 252 req/second!

Regardless of what the stats and pretty graphs say, we both enjoyed our experiences with Play 2 and Grails 2. If you haven't tried them yourself, we encourage you to do so.

Posted in Java at Jun 25 2012, 07:10:57 AM MDT 19 Comments

My What's New in Spring 3.1 Presentation

My first business trip of the year was to Dublin, CA this past week. Trish joined me because she wanted to take some pictures of San Francisco. She got some awesome shots as you can see below.

Lombard Ave in SF with Bay view Kissing Sea lions Pier 38 San Fran San Francisco Bay Bridge at Night Bay Bridge San Francisco at Night

Balclutha Maritime Museum San Fran

On Tuesday night, I attended Twitter's Open Source Summit with a co-worker and had a great time.

On Wednesday, I talked about What's New in Spring 3.1 at the Silicon Valley Spring User Group. I discussed the support for Java 7, Servlet 3, Hibernate 4 (and JPA 2 with Spring Data) and the new Cache Abstraction. I mentioned how spring-data-jpa-examples is a great sample project and showed a bunch of code from my Spring Kickstart project. I was surprised to find that no one in the audience (all Spring users) was using Java Config. Below are the slides from my presentation and you can also download the PDF.

Posted in Java at Feb 04 2012, 05:47:14 PM MST 2 Comments

Upgrading AppFuse to Spring Security 3.1 and Spring 3.1

Before the holiday break, I spent some time upgrading AppFuse to use the latest releases of Spring and Spring Security. I started with Spring Security in early December and quickly discovered its 3.1 XSD required some changes. After changing to the 3.1 XSD in my security.xml, I had to change its <http> element to use security="none" instead of filters="none". With Spring Security 3.0.5, I had:

<http auto-config="true" lowercase-comparisons="false">
    <intercept-url pattern="/images/**" filters="none"/>
    <intercept-url pattern="/styles/**" filters="none"/>
    <intercept-url pattern="/scripts/**" filters="none"/>
After upgrading to 3.1, I had to change this to:
<http pattern="/images/**" security="none"/>
<http pattern="/styles/**" security="none"/>
<http pattern="/scripts/**" security="none"/>

<http auto-config="true">

The next thing I had to change was UserSecurityAdvice.java. Instead of using Collection<GrantedAuthority> for Authentication's getAuthority() method, I had to change it to use Collection<? extends GrantedAuthority>.

Authentication auth = ctx.getAuthentication();
Collection<? extends GrantedAuthority> roles = auth.getAuthorities();

Lastly, I discovered that SPRING_SECURITY_CONTEXT_KEY moved to HttpSessionSecurityContextRepository. Click here to see the changelog for this upgrade in AppFuse's FishEye.

You can read more about what's new in Spring Security 3.1 on InfoQ. I'm especially pumped to see http-only cookie support for Servlet 3.0. I discovered Spring Security didn't support this when Pen-Testing with Zed Attack Proxy.

Upgrading to Spring Framework 3.1
Compared to the Spring Security upgrade, upgrading to Spring 3.1 was a breeze. The first thing I discovered after changing my pom.xml's version was that Spring Security required some additional exclusions in order to get the latest Spring versions. Of course, this was communicated to me through the following cryptic error.

-------------------------------------------------------------------------------
Test set: org.appfuse.dao.LookupDaoTest
-------------------------------------------------------------------------------
Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.004 sec <<< FAILURE!
testGetRoles(org.appfuse.dao.LookupDaoTest)  Time elapsed: 0.001 sec  <<< ERROR!
java.lang.NoSuchMethodError: org.springframework.context.support.GenericApplicationContext.getEnvironment()Lorg/springframework/core/env/ConfigurableEnvironment;
	at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:97)
	at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:1)
	at org.springframework.test.context.support.DelegatingSmartContextLoader.loadContext(DelegatingSmartContextLoader.java:228)
	at org.springframework.test.context.TestContext.loadApplicationContext(TestContext.java:124)
	at org.springframework.test.context.TestContext.getApplicationContext(TestContext.java:148)
	at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.injectDependencies(DependencyInjectionTestExecutionListener.java:109)

Without these additional exclusions, Spring Security pulled in Spring 3.0.6. I had to exclude spring-expression, spring-context and spring-web from spring-security-taglibs to get the 3.1.0.RELEASE version of Spring.

<dependency>
    <groupId>org.springframework.security</groupId>
    <artifactId>spring-security-taglibs</artifactId>
    <version>${spring.security.version}</version>
    <exclusions>
        <exclusion>
            <groupId>org.springframework</groupId>
            <artifactId>spring-expression</artifactId>
        </exclusion>
        <exclusion>
            <groupId>org.springframework</groupId>
            <artifactId>spring-context</artifactId>
        </exclusion>
        <exclusion>
            <groupId>org.springframework</groupId>
            <artifactId>spring-web</artifactId>
        </exclusion>
    </exclusions>
</dependency>

I also had to exclude spring-context from spring-security-config and spring-context and spring-expression from spring-security-core. Isn't Maven wonderful?

<dependency>
    <groupId>org.springframework.security</groupId>
    <artifactId>spring-security-core</artifactId>
    <version>${spring.security.version}</version>
    <exclusions>
        <exclusion>
            <groupId>org.springframework</groupId>
            <artifactId>spring-expression</artifactId>
        </exclusion>
        <exclusion>
            <groupId>org.springframework</groupId>
            <artifactId>spring-context</artifactId>
        </exclusion>
    </exclusions>
</dependency>
<dependency>
    <groupId>org.springframework.security</groupId>
    <artifactId>spring-security-config</artifactId>
    <version>${spring.security.version}</version>
    <exclusions>
        <exclusion>
            <groupId>org.springframework</groupId>
            <artifactId>spring-context</artifactId>
        </exclusion>
    </exclusions>
</dependency>

After making these changes, I got a bit further, but ended up being blocked by a bug in Tapestry 5's Spring support. Basically, after upgrading to Spring 3.1, I started seeing the following error:

java.lang.RuntimeException: Service id 'environment' has already been defined by 
org.apache.tapestry5.services.TapestryModule.buildEnvironment(PerthreadManager) 

Luckily, I was able to easily fix this with advice I found on Tapestry's mailing list. Unfortunately, even though I submitted a fix on December 15th, it didn't make it into Tapestry's 5.3.1 release on December 21st. As soon as Tapestry 5.3.2 is released, I hope to get the AppFuse's build passing again (it's currently failing).

I hope this article helps you upgrade your AppFuse-started applications to the latest versions of Spring and Spring Security. Over the next few weeks, I'll be exploring many of Spring 3.1's new features and implementing them as I see fit. Right now, I'm thinking environments/profiles, Servlet 3 / Java 7 support and Hibernate 4 support. These seem to be the best new features to learn about for my talk in a few weeks.

Posted in Java at Jan 05 2012, 08:58:21 AM MST 7 Comments

Deploying Java and Play Framework Apps to the Cloud with James Ward

Yesterday, I attended James Ward's presentation on Deploying Java & Play Framework Apps to the Cloud at Devoxx. I arrived a bit late, but still managed to get there in time to see a lot of demos and learn more about Heroku. Below are my notes from James's talk.

When I arrived, James was doing a demo using Spring Roo. He was using Roo's Petclinic sample app and showed us how you could use Git to create a local repository of the new project and install Heroku's command line tool. From there, he ran the following command to create a new application on Heroku.

heroku create -s cedar

The Cedar Stack is what supports Java, Scala and Play Framework. It's the 3rd generation stack for Heroku. The command above created two endpoints, one for HTTP and one for Git. It picks from a list of randomly generated names, which all seem to have some humor in them. James ended up with "electric-sword-8877" for this demo.

From there, he ran git push heroku master to deploy the project to Heroku. Unfortunately, this resulted in a login error and there was an akward moment where we all thought the Demo Gods were angry. However, James was able to resolve this by using Heroku's sharing feature with the following command.

heroku sharing:add [email protected]

For Java projects, Heroku looks for a pom.xml file in the root directory and runs a Maven build on project. All the dependencies get downloaded on the cloud rather than put them into a WAR and requiring you to upload a large WAR file. You don't have to upload your source code to Heroku; James did it for the sake of the demo because it was faster.

After the build finishes, it creates a slug file. This file contains everything Heroku needs to run your application.

Next, James showed a demo of the running application and added a new Pet through its UI. Then he scaled it to two servers using the following command:

heroku scale web=2

He proved this was working by running heroku ps, which showed there were two running processes. He showed the app again, but noted that the record he added was missing. This is because when it started up a new dyno, Hibernate created the schema again and deleted all records. To fix, James changed Hibernate to only update the schema instead of create a new one. If you're a Hibernate user, you know this is as simple as changing:

hibernate.hbm2ddl.auto=create

to:

hibernate.hbm2ddl.auto=update

After committing this change, James redeployed using Git.

git push heroku master

The slug file got built again and Heroku deployed the new slug onto both dynos, automatically load balancing the app across two servers. James then ran heroku logs to see the logs of his dynos and prove that a request to his app's HTTP endpoint made requests to both dynos. The logging is powered by Logplex and you can read about how it works in the article Heroku Gets Sweet Logging.

James mentioned that Roo has a Heroku plugin, but after watching his talk and searching a bit on the internet, it seems it's just the jetty-runner setup as described in Getting Started with Spring MVC Hibernate on Heroku/Cedar.

What about autoscaling? There are some 3rd party tools that do this. Heroku's Management infrastructure has APIs that these tools talk too. Heroku hasn't built autoscaling into the platform because they don't know where the bottlenecks are in your application.

Heroku = Polyglot + PaaS + Cloud Components. It supports Ruby, node.js, Java, Clojure, Play and Scala and they're working on native Grails and Gradle support. There's currently 534,374 apps running on Heroku.

Heroku is a cloud application platform and there's 5 different components.

  1. Instant deployment
  2. HTTP Routing / Load Balancing
  3. Elastic Polyglot Runtime
  4. Management & Logging
  5. Component as a Service Ecosystem

For instant deployment, it's a pretty simple process:

  • You add files to a git repo
  • You provision the app on Heroku (heroku create)
  • You upload the files to Heroku (git push heroku master)
  • Heroku runs the build and assembles a "slug" file
  • Heroku starts a "dyno"
  • Heroku copies the "slug" to the "dyno"
  • Heroku starts the web application

Most apps will contain a Procfile that contains information about how to run the web process. For Spring Roo, it has:

web: java $JAVA_OPTS -jar target/dependency/jetty-runner.jar --port $PORT target/*.war

So how does Heroku decide what application server to use? It doesn't, you do. You need to get your application server into the slug file. The easiest way to do this is to specify your application server as a dependency in your pom.xml. In the Roo example, James uses the maven-dependency-plugin to get the jetty-runner dependency and copy it to the target directory. On Heroku, you bring your application server with you.

Heroku gives you 750 free dyno hours per app, per month. For developers, it's very easy to get started and use. Once you extend past one dyno, it's $.05 per dyno hour, which works out to around $30/month. It's only when you want to scale beyond one dyno where you get charged by Heroku, no matter how much data you transfer. Scalatest is running on Heroku. It has one dyno and is doing fine with that. Bill Venners doesn't have to pay anything for it.

java.herokuapp.com is a site James created that allows you to clone example apps and get started quickly with Heroku's Cedar Stack.

For HTTP Routing, Heroku uses an Erlang-based routing system to route all the HTTP requests across your dynos. Heroku doesn't support sticky sessions. Distributed session management does not work well, because it does not scale well. Heroku recommends you use a stateless web architecture or move your state into something like memcached. Jetty has (in the latest version) the ability to automatically serialize your session into a Mongo system. This works fine on Heroku. The problem with this is if you have 2 dynos running, each request can hit a different dyno and get different session state. Hence the recommendation for an external storage mechanism that can synchronize between dynos.

You can also run non-web applications on Heroku. You can have one web process, but as many non-web processes as you want.

Heroku has native support for the Play framework. To detect Play applications, it look for a conf/application.conf file. You don't need to have a Procfile in your root directory because Heroku knows how to start a Play application.

At this point, James created a new Play application, created a new Heroku app (he got "young-night-7104" this time) and pushed it to Heroku. He created a simple model object, a controller to allow adding new data and then wrote some jQuery to show new records via Ajax and JSON. He also showed how to configure the application to talk to Heroku's PostgreSQL database using the DATABASE_URL environment variable. He explained how you can use the heroku config command to see your environment variables.

The reason they use environment variables is so Heroku can update DATABASE_URL (and other variables) without having to call up all their customers and have them change them in their source code.

Play on Heroku supports Scala if you create your app with Scala. Play 2.0 uses Scala, Akka and SBT. Heroku added support for SBT a couple month ago, so everything will work just fine.

Heroku also supports Scala, detecting it by looking for the build.sbt file in the root directory. Heroku supports SBT 0.11.0 and it builds the 'stage' task. It currently does not support Lift because Lift uses an older version of SBT and because it's a very stateful framework that would require sticky sessions. Use Play, BlueEyes or Scalatra if you want Scala on Heroku.

Heroku has addons for adding functionality to your application, including Custom DNS, HTTPS, Amazon RDS, NoSQL and many more. They're also working on making their add-on and management APIs available via Java, so you'll (hopefully) be able to use them from your IDE in the future.

From there, James showed us how Heroku keeps slug files around so you can do rollbacks with heroku rollback. He also showed how you can use:

heroku run "your bash command"
to run any Bash command on the cloud.

Summary
I attended James's talk because he's a good friend, but also because I've been using Heroku to host my latest adventures with Play, Scala, CoffeeScript and Jade. I'm glad I attended because I learned some good tips and tricks and more about how Heroku works.

Heroku seems like a great development tool to me. In my experience, it's been really nice to have instant deployments using Git. In fact, I've created a 'push' alias so I can push to my project's repo and heroku at the same time.

alias push='git push origin master && git push heroku master'

I'd like to see more organizations embrace something like Heroku for developers. It'd be great if everyone had their own sandbox that business owners and product managers could see. I can't help but think this would be awesome for demos, prototyping, etc.

There were some other talks I wanted to attend at the same time, particularly Martin Odersky's What's in store for Scala? and WWW: World Wide Wait? A Performance Comparison of Java Web Frameworks. The WWW talk has posted their presentation but I'm sure it'd be more fun to watch.

It's pretty awesome that all the talks from Devoxx 2011 will be up on Parleys.com soon.

Update: James has posted his slides from this talk.

Posted in Java at Nov 18 2011, 08:14:45 AM MST 2 Comments

Play 2.0, A web framework for a new era

This week, I'm in Antwerp, Belgium for the annual Devoxx conference. After traveling 21 hours door-to-door yesterday, I woke up and came to the conference to attend some talks on Play and PhoneGap. I just got out of the session on Play 2.0, which was presented by Sadek Drobi and Guillaume Bort. Below are my notes from this presentation.

The Play 2.0 beta is out! You can read more about this release on the mailing list. This beta includes native support for both Scala and Java, meaning you can use both in the same project. The release also bundles Akka and SBT by default.

In other news, Play 2.0 is now part of the Typesafe Stack. Typesafe is the Scala company, started by the founder of Scala (Martin Odersky) and the founder of Akka (Jonas Bonér). Guillaume is also joining the Typesafe Advisory Board.

Sadek and Guillaume both work at zenexity, where Play is the secret weapon for the web applications they've built for the last decade. Play was born in the real world. They kept listening to the market to see what they should add to the project. At some point, they realized they couldn't keep adding to the old model and they needed to create something new.

The web has evolved from static pages to dynamic pages (ASP, PHP). From there, we moved to structured web applications with frameworks and MVC. Then the web moved to Ajax and long-polling to more real-time, live features. And this changes everything.

Now we need to adapt our tools. We need to handle tremendous flows of data. Need to improve expressiveness for concurrent code. We need to pick the appropriate datastore for the problem (not only SQL). We need to integrate with rapidly-evolving client side technologies like JavaScript, CoffeeScript, and Dart. We need to use elastic deployment that allows scaling up and scaling down.

zenexity wanted to integrated all of these modern web needs into Play 2.0. But they also wanted to keep Play approachable. They wanted to maintain fast turnaround so you can change your code and hit reload to see the changes. They wanted to keep it as a full stack framework with support for JSON, XML, Web Services, Jobs, etc. And they wanted to continue to use and conventions over configuration.

At this point, Guillaume did a Play 2.0 Beta demo, show us how it uses SBT and has a console so everything so it runs really fast. You can have both Scala and Java files in the same project. Play 2.0 templates are based on Scala, but you don't need to know Scala to use them. You might have to learn how to write a for loop in Scala, but it's just a subset of Scala for templates and views. SBT is used for the build system, but you don't have to learn or know SBT. All the old play commands still work, they're just powered by a different system.

After the demo, Sadek took over and started discussing the key features of Play 2.0.

To handle tremendous amounts of data, you need to do chunking of data and be able to process a stream of data, not just wait until it's finished. Java's InputStream is outdated and too low level. Its read() method reads the next byte of data from the input and this method can block until input data is available.

To solve this, Play includes a reactive programming feature, which they borrowed from Haskell. It uses Iteratee/Enumerator IO and leverages inversion of control (not like dependency injection, but more like not micro-managing). The feature allows you to have control when you need it so you don't have to wait for the input stream to complete. The Enumerator is the component that sends data and the Iteratee is the component that receives data. The Iteratee does incremental processing and can tell the Enumerator when it's done. The Iteratee can also send back a continuation, where it tells the Enumerator it wants more data and how to give it. With this paradigm, you can do a lot of cool stuff without consuming resources and blocking data flow.

Akka is an actor system that is a great model for doing concurrent code. An Actor could be both an Enumerator and an Iteratee. This vastly improves the expressiveness for concurrent code. For example, here's how you'd use Akka in Play:

def search(keyword: String) = Action {
  AsyncResult {
    // do something with result
  }
}

Play does not try to abstract data access because datastores are different now. You don't want to think of everything as objects if you're using something like MongoDB or navigating a Social Graph. Play 2.0 will provide some default modules for the different datastores, but they also expect a lot of contributed modules. Anorm will be the default SQL implementation for Play Scala and Ebean will be the default ORM implementation for Play Java. The reason they've moved away from Hibernate is because they needed something that was more stateless.

On the client side, there's so many technologies (LESS, CoffeeScript, DART, Backbone.js, jQuery, SASS), they didn't want to bundle any because they move too fast. Instead, there's plugins you can add that help you leverage these technologies. There's a lot of richness you can take advantage of on the client side and you need to have the tools for that.

Lastly, there's a new type of deployment: container-less deployment to the cloud. Akka allows you to distribute your jobs across many servers and Heroku is an implementation of elastic deployment that has built-in support for Play.

They've explained what they tried to design and the results of this new, clean architecture have been suprising. Side effects include: type-safety everywhere for rock-solid applications. There's an awesome performance boost from Scala. There's easier integration with existing projects via SBT. And it only takes 10 lines of code to develop an HTTP Server that responds to web requests.

The memory consumption is amazing: only 2MB of heap is used when a Play 2.0 app is started. Tests on Guillaume's laptop have shown that it can handle up to 40,000 requests per second, without any optimization of the JVM. Not only that, but after the requests subside, garbage collection cleans up everything and reduces the memory consumption back to 2MB.

At this point, Guillaume did another demo, showing how everything is type-safe in 2.0, including the routes file. If you mistype (or comment one out) any routes, the compiler will find it and notify you. Play 2.0 also contains a compiled assets feature. This allows you to use Google's Closure Compiler, CoffeeScript and LESS. If you put your LESS files in app/assets/stylesheets, compilation errors will show up in your browser. If you put JavaScript files in app/assets/javascripts, the Closure compiler will be used and compilation errors will show up in your browser.

Play 2.0 ships with 3 different sample applications, all implemented in both Java and Scala. HelloWorld is more than just text in a browser, it includes a form that shows how validation works. Another app is computer-database. When Guillaume started it, we saw how evolutions were used to create the database schema from the browser. The Play Team has done their best to make the development process a browser-based experience rather than having to look in your console. The computer-database is a nice example of how to do CRUD and leverages Twitter's Bootstrap for its look and feel.

The last sample application is zentasks. It uses Ajax and implements security so you can see how to create a login form. It uses LESS for CSS and CoffeeScript and contains features like in-place editing. If you'd like to see any of these applications in action, you can stop by the Typesafe booth this week at Devoxx.

Unfortunately, there will be no migrating path for Play 1.x applications. The API seems very similar, but there are subtle changes that make this difficult. The biggest thing is how templating has changed from Groovy to Scala. To migrate from 1.2.x would be mostly a copy/paste, modify process. There are folks working on getting Groovy templates working in 2.0. The good news is zenexity has hundreds of 1.x applications in production, so 1.x will likely be maintained for many years.

Summary
This was a great talk on what's new in Play 2.0. I especially like the native support for LESS and CoffeeScript and the emphasis on trying to keep developers using two tools: their editor and the browser. The sample apps look great, but the documentation look sparse. I doubt I'll get a chance to migrate my Play 1.2.3 app to 2.0 this month, but I hope to try migrating sometime before the end of the year.

Posted in Java at Nov 16 2011, 05:58:09 AM MST 11 Comments

Play Scala's Anorm, Heroku and PostgreSQL Issues

This article is the 5th in a series on about my adventures developing a Fitness Tracking application for my talk at Devoxx in two weeks. Previous articles can be found at:

  1. Integrating Scalate and Jade with Play 1.2.3
  2. Trying to make CoffeeScript work with Scalate and Play
  3. Integrating HTML5 Boilerplate with Scalate and Play
  4. Developing with HTML5, CoffeeScript and Twitter's Bootstrap

Anorm
In my previous article, I described how I created my application's features using CoffeeScript and make it look good using Twitter's Bootstrap. Next, I turned to persisting this data with Anorm.

The Scala module includes a brand new data access layer called Anorm that uses plain SQL to make your database request and provides several API to parse and transform the resulting dataset.

I'm a big fan of ORMs like Hibernate and JPA, so having to learn a new JDBC abstraction wasn't exactly appealing at first. However, since Anorm is the default for Play Scala, I decided to try it. The easiest way for me to learn Anorm was to start coding with it. I used A first iteration for the data model as my guide and created model objects, companion objects that extended Magic (appropriately named) and wrote some tests using scalatest. I started with an "Athlete" model since I knew "User" was a keyword in PostgreSQL and that's what Heroku uses for its database.

package models

import play.db.anorm._
import play.db.anorm.defaults._

case class Athlete(
  id: Pk[Long],
  email: String, password: String, firstName: String, lastName: String
  ) {
}

object Athlete extends Magic[Athlete] {
  def connect(email: String, password: String) = {
    Athlete.find("email = {email} and password = {password}")
      .on("email" -> email, "password" -> password)
      .first()
  }

  def apply(firstName: String) = new Athlete(NotAssigned, null, null, firstName, null)
}

Then I wrote a couple tests for it in test/Tests.scala.

import play._
import play.test._

import org.scalatest._
import org.scalatest.junit._
import org.scalatest.matchers._

class BasicTests extends UnitFlatSpec with ShouldMatchers with BeforeAndAfterEach {

  import models._
  import play.db.anorm._

  override def beforeEach() {
      Fixtures.deleteDatabase()
  }

  it should "create and retrieve a Athlete" in {

      var athlete = Athlete(NotAssigned, "[email protected]", "secret", "Jim", "Smith")
      Athlete.create(athlete)

      val jim = Athlete.find(
          "email={email}").on("email" -> "[email protected]"
      ).first()

      jim should not be (None)
      jim.get.firstName should be("Jim")

  }

  it should "connect a Athlete" in {

      Athlete.create(Athlete(NotAssigned, "[email protected]", "secret", "Bob", "Johnson"))

      Athlete.connect("[email protected]", "secret") should not be (None)
      Athlete.connect("[email protected]", "badpassword") should be(None)
      Athlete.connect("[email protected]", "secret") should be(None)
  }

At this point, everything was fine and dandy. I could run "play test", open http://localhost/@tests in my browser and run the tests to see a beautiful shade of green on my screen. I continued following the tutorial, substituting "Post" with "Workout" and added Comments too. The Workout object shows some of the crazy-ass syntax that is Anorm getting fancy with Scala.

object Workout extends Magic[Workout] {

  def allWithAthlete: List[(Workout, Athlete)] =
    SQL(
      """
          select * from Workout w
          join Athlete a on w.athlete_id = a.id
          order by w.postedAt desc
      """
    ).as(Workout ~< Athlete ^^ flatten *)

  def allWithAthleteAndComments: List[(Workout, Athlete, List[Comment])] =
    SQL(
      """
          select * from Workout w
          join Athlete a on w.athlete_id = a.id
          left join Comment c on c.workout_id = w.id
          order by w.postedAt desc
      """
    ).as(Workout ~< Athlete ~< Workout.spanM(Comment) ^^ flatten *)

  def byIdWithAthleteAndComments(id: Long): Option[(Workout, Athlete, List[Comment])] =
    SQL(
      """
          select * from Workout w
          join Athlete a on w.athlete_id = a.id
          left join Comment c on c.workout_id = w.id
          where w.id = {id}
      """
    ).on("id" -> id).as(Workout ~< Athlete ~< Workout.spanM(Comment) ^^ flatten ?)
}

All of these methods return Tuples, which is quite different from an ORM that returns an object that you call methods on to get its related items. Below is an example of how this is referenced in a Scalate template:

-@ val workout:(models.Workout,models.Athlete,Seq[models.Comment])
-
  var commentsTitle = "No Comments"
  if (workout._3.size > 0)
    commentsTitle = workout._3.size + " comments, lastest by " + workout._3(workout._3.size - 1).author
  
div(class="workout")
  h2.title
    a(href={action(controllers.Profile.show(workout._1.id()))}) #{workout._1.title}
  .metadata
    span.user Posted by #{workout._2.firstName} on
    span.date #{workout._1.postedAt}
    .description
      = workout._1.description

Evolutions on Heroku
I was happy with my progress until I tried to deploy my app to Heroku. I added db=${DATABASE_URL} to my application.conf as recommended by Database-driven web apps with Play! on Heroku/Cedar. However, when I deployed, it failed because my database tables weren't created.

2011-10-05T04:08:52+00:00 app[web.1]: 04:08:52,712 WARN  ~ Your database is not up to date.
2011-10-05T04:08:52+00:00 app[web.1]: 04:08:52,712 WARN  ~ Use `play evolutions` command to manage database evolutions.
2011-10-05T04:08:52+00:00 app[web.1]: 04:08:52,713 ERROR ~
2011-10-05T04:08:52+00:00 app[web.1]:
2011-10-05T04:08:52+00:00 app[web.1]: @681m15j3l
2011-10-05T04:08:52+00:00 app[web.1]: Can't start in PROD mode with errors
2011-10-05T04:08:52+00:00 app[web.1]:
2011-10-05T04:08:52+00:00 app[web.1]: Your database needs evolution!
2011-10-05T04:08:52+00:00 app[web.1]: An SQL script will be run on your database.
2011-10-05T04:08:52+00:00 app[web.1]:
2011-10-05T04:08:52+00:00 app[web.1]: play.db.Evolutions$InvalidDatabaseRevision

With James Ward's help, I learned I needed to use "heroku run" to apply evolutions. So I ran the following command:

heroku run "play evolutions:apply --%prod" 

Unfortunately, this failed:

Running play evolutions:apply --%prod attached to terminal... up, run. 
5 
~        _            _ 
~  _ __ | | __ _ _  _| | 
~ | '_ \| |/ _' | || |_| 
~ |  __/|_|\____|\__ (_) 
~ |_|            |__/ 
~ 
~ play! 1.2.3, http://www.playframework.org 
~ framework ID is prod 
~ 
Oct 17, 2011 7:05:46 PM play.Logger warn 
WARNING: Cannot replace DATABASE_URL in configuration (db=$ 
{DATABASE_URL}) 
Exception in thread "main" java.lang.NullPointerException 
        at play.db.Evolutions.main(Evolutions.java:54)

After opening a ticket with Heroku support, I learned this was because DATABASE_URL was not set ("heroku config" shows your variables). Apparently, this should be set when you create your app, but somehow wasn't for mine. To fix, I had to run the following command:

$ heroku pg:promote SHARED_DATABASE 
-----> Promoting SHARED_DATABASE to DATABASE_URL... done

PostgreSQL and Dates
The next issue I ran into was with loading default data. I have the following BootStrap.scala class in my project to load default data:

class BootStrap extends Job { 
  override def doJob() { 
    import models._ 
    import play.test._ 
    // Import initial data if the database is empty 
    if (Athlete.count().single() == 0) { 
      Yaml[List[Any]]("initial-data.yml").foreach { 
        _ match { 
          case a: Athlete => Athlete.create(a) 
          case w: Workout => Workout.create(w) 
          case c: Comment => Comment.create(c) 
        } 
      } 
    } 
  } 
} 

For some reason, only my "athlete" table was getting populated and the others weren't. I tried turning on debugging and trace, but nothing showed up in the logs. This appears to be a frequent issue with Play. When data fails to load, there's no logging indicating what went wrong. To make matters worse with Anorm, there's no way to log the SQL that it's attempting to run. My BootStrap job was working fine when connecting to "db=mem", but stopped after switching to PostgreSQL. The support I got for this issue was disappointing, since it caused crickets on Play's Google Group. I finally figured out "support of Date for insertion" was added to Anorm a couple months ago.

To get the latest play-scala code into my project, I cloned play-scala, built it locally and uploaded it to my server. Then I added the following to dependencies.yml and ran "play deps --sync".

require:
    ...
    - upgrades -> scala 0.9.1-20111025
    ...

repositories:
    - upgrades:
        type: http
        artifact: "http://static.raibledesigns.com/[module]-[revision].zip"
        contains:
            - upgrades -> *

Summary
When I started writing this article, I was going to talk about some improvements I made to Scalate Play interoperability. However, I think I'll save that for next time and possibly turn it into a plugin using play-excel as an example.

As you can tell from this article, my experience with Anorm was frustrating - particularly due to the lack of error messages when operations failed. The lack of support was expected, as this usually happens when you're living on the bleeding edge. However, based on this experience, I can't help but think that it might be a while before Play 2.0 is ready for production use.

The good news is IntelliJ is adding support for Play. Maybe this will help increase adoption and inspire the framework's developers to stabilize and improve Play Scala before moving the entire framework to Scala. After all, it seems they've encountered some issues making Scala as fast as Java.

Posted in Java at Nov 02 2011, 11:54:25 AM MDT 6 Comments

Java Web Application Security - Part II: Spring Security Login Demo

Last week, I wrote a tutorial on how to implement Security in Java EE 6. This week, I'd like to show you how to implement the same features using Spring Security. Before I begin, I'd like to explain my reason for writing this article.

Last month, I presented a talk on Java Web Application Security at the Utah JUG (UJUG). As part of that presentation, I did a number of demos about how to implement security with Java EE 6, Spring Security and Apache Shiro. I told the audience that I would post the presentation and was planning on recording screencasts of the various demos so the online version of the presentation would make more sense.

Today, I've finished the second screencast showing how to implement security with Spring Security. Below is the presentation (with the screencast embedded on slide 16) as well as a step-by-step tutorial.


Spring Security Login Tutorial

Download and Run the Application
To begin, download the application you'll be implementing security in. This app is a stripped-down version of the Ajax Login application I wrote for my article on Implementing Ajax Authentication using jQuery, Spring Security and HTTPS. You'll need Java 6 and Maven installed to run the app. Run it using mvn jetty:run and open http://localhost:8080 in your browser. You'll see it's a simple CRUD application for users and there's no login required to add or delete users.

Implement Basic Authentication
The first step is to protect the list screen so people have to login to view users. To do this, you'll need to create a Spring context file that contains Spring Security's configuration. Create src/main/webapp/WEB-INF/security.xml and populate it with the contents below:

  <?xml version="1.0" encoding="UTF-8"?>
  <beans:beans xmlns="http://www.springframework.org/schema/security"
               xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
               xmlns:beans="http://www.springframework.org/schema/beans"
               xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
                http://www.springframework.org/schema/security http://www.springframework.org/schema/security/spring-security-3.0.xsd">

      <!-- New in Spring Security 3.1 -->
      <!-- <http pattern="/css/**" security="none"/> -->

      <http auto-config="true">
          <intercept-url pattern="/app/users" access="ROLE_USER,ROLE_ADMIN"/>
          <http-basic/>
      </http>

      <authentication-manager alias="authenticationManager">
          <authentication-provider>
              <password-encoder hash="sha"/>
              <user-service>
                  <user name="user" password="12dea96fec20593566ab75692c9949596833adc9" authorities="ROLE_USER"/>
                  <user name="admin" password="d033e22ae348aeb5660fc2140aec35850c4da997" authorities="ROLE_ADMIN"/>
              </user-service>
          </authentication-provider>
      </authentication-manager>

      <!-- Override userSecurityAdvice bean in appfuse-service to allow any role to update a user. -->
      <beans:bean id="userSecurityAdvice" class="org.appfuse.examples.webapp.security.UserSecurityAdvice"/>
  </beans:beans>

The last bean, userSecurityAdvice, is an aspect that's needed to override some behavior in AppFuse. You won't need this normally when implementing Spring Security.

Next, open src/main/webapp/WEB-INF/web.xml and add Spring's DelegatingFilterProxy:

<filter>
    <filter-name>securityFilter</filter-name>
    <filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class>
    <init-param>
        <param-name>targetBeanName</param-name>
        <param-value>springSecurityFilterChain</param-value>
    </init-param>
</filter>

And add its filter-mapping just after the rewriteFilter in the filter-mappings section (order is important!):

<filter-mapping>
    <filter-name>rewriteFilter</filter-name>
    <url-pattern>/*</url-pattern>
</filter-mapping>
<filter-mapping>
    <filter-name>securityFilter</filter-name>
    <url-pattern>/*</url-pattern>
    <dispatcher>REQUEST</dispatcher>
    <dispatcher>FORWARD</dispatcher>
    <dispatcher>INCLUDE</dispatcher>
</filter-mapping>

You don't need to add any dependencies in your pom.xml is because this project depends on AppFuse, which already contains these dependencies.

At this point, if you restart Jetty (Ctrl+C and jetty:run again), you should be prompted to login when you click on the "Users" tab. Enter admin/admin to login. Spring Security is a bit easier to configure than Java EE 6 out-of-the-box, mostly because it doesn't require you to configure your container.

After logging in, you can try to logout by clicking the "Logout" link in the top-right corner. This calls a LogoutController with the following code that logs the user out.

public void logout(HttpServletResponse response) throws ServletException, IOException {
    request.getSession().invalidate();
    response.sendRedirect(request.getContextPath()); 
}

NOTE: Spring Security has a way to configure "logout" to match a URL and get rid of a class like LogoutController. Since it was already in the project, I don't cover that in this tutorial.

You'll notice that clicking this link doesn't log you out, even though the session is invalidated. The only way to logout with basic authentication is to close the browser. In order to get the ability to logout, as well as to have more control over the look-and-feel of the login, you can implement form-based authentication. Before you implement form-based authentication, I'd like to show you how easy it is to force SSL with Spring Security.

Force SSL
Spring Security allows you to switch between secure (https) and non-secure (http) protocols using a simple requires-channel attribute on the <intercept-url> element. Possible values are "http", "https" and "any". Add requires-channel="https" to your security.xml file:

<intercept-url pattern="/app/users" access="ROLE_USER,ROLE_ADMIN" requires-channel="https"/>

In order for this to work, you have to configure Jetty to listen on an SSL port. Add the following just after the jetty-maven-plugin's </webAppConfig> element in your pom.xml:

<connectors>
    <connector implementation="org.eclipse.jetty.server.nio.SelectChannelConnector">
        <forwarded>true</forwarded>
        <port>8080</port>
    </connector>
    <connector implementation="org.eclipse.jetty.server.ssl.SslSelectChannelConnector">
        <forwarded>true</forwarded>
        <port>8443</port>
        <maxIdleTime>60000</maxIdleTime>
        <keystore>${project.build.directory}/ssl.keystore</keystore>
        <password>appfuse</password>
        <keyPassword>appfuse</keyPassword>
    </connector>
</connectors>

The keystore must be generated for Jetty to start successfully, so add the keytool-maven-plugin just above the jetty-maven-plugin in pom.xml.

<plugin>
    <groupId>org.codehaus.mojo</groupId>
    <artifactId>keytool-maven-plugin</artifactId>
    <version>1.0</version>
    <executions>
        <execution>
            <phase>generate-resources</phase>
            <id>clean</id>
            <goals>
                <goal>clean</goal>
            </goals>
        </execution>
        <execution>
            <phase>generate-resources</phase>
            <id>genkey</id>
            <goals>
                <goal>genkey</goal>
            </goals>
        </execution>
    </executions>
    <configuration>
        <keystore>${project.build.directory}/ssl.keystore</keystore>
        <dname>cn=localhost</dname>
        <keypass>appfuse</keypass>
        <storepass>appfuse</storepass>
        <alias>appfuse</alias>
        <keyalg>RSA</keyalg>
    </configuration>
</plugin>

Now if you restart Jetty, go to http://localhost:8080 and click on the "Users" tab, you'll be prompted to accept the Untrusted Certificate and then redirected to https://localhost:8443/users after logging in. This is an improvement on Java EE's user-data-constraint for two reasons:

  • You can switch between http and https protocols. With Java EE, you can only force https. You have to write a custom filter to switch back to http.
  • Redirecting to https actually works. With Java EE (on Jetty at least), a 403 is returned instead of redirecting the request.

Now let's look at how to have more control over the look-and-feel of the login screen, as well as how to make logout work with form-based authentication.

Implement Form-based Authentication
To change from basic to form-based authentication, you simply have to add a <form-login> element in security.xml's <http> element:

<http auto-config="true">
    <intercept-url pattern="/app/users" access="ROLE_USER,ROLE_ADMIN" requires-channel="https"/>
    <form-login login-page="/login" authentication-failure-url="/login?error=true"
                login-processing-url="/j_security_check"/>
    <http-basic/>
</http>

You can leave the <http-basic> element since Spring Security is smart enough to serve up the form for browsers and use Basic Authentication for clients such as web services. The login.jsp page (that /login forwards to) already exists in the project, in the src/main/webapp directory. The forwarding is done by the UrlRewriteFilter with the following configuration in src/main/webapp/WEB-INF/urlrewrite.xml.

<rule>
    <from>/login</from>
    <to>/login.jsp</to>
</rule>

This JSP has 3 important elements: 1) a form that submits to "/j_security_check", 2) an input element named "j_username" and 3) an input element named "j_password". If you restart Jetty, you'll now be prompted to login with this JSP instead of the basic authentication dialog.

Add Remember Me
Remember Me is a feature you see in many web applications today. It's usually a checkbox on the login form that allows you to auto-login the next time you visit a site. This feature doesn't exist in Java EE security, but it does exist in Spring Security. To enable it, add the following just below <form-login> in security.xml:

<remember-me user-service-ref="userDao" key="e37f4b31-0c45-11dd-bd0b-0800200c9a66"/>

Next, open src/main/webapp/login.jsp and change the name of the "remember me" checkbox to be _spring_security_remember_me:

<input type="checkbox" name="_spring_security_remember_me" id="rememberMe"/>

After making these changes, you should be able to restart Jetty, go to http://localhost:8080/users, enter admin/adminjdbc, check the Remember Me checkbox and login. Then close your browser, and repeat the process. This time, you won't be prompted to login. For more information on this feature, see Spring Security's Remember Me documentation.

While storing usernames and passwords in a file is convenient for demos, it's not very real-world-ish. The next section shows you how to configure Spring Security to use a database for its user store.

Store Users in a Database
To store your users in a database instead of file, you'll need to add a user-service-ref attribute to the <authentication-provider> element. You can also delete the <user-service> element.

<authentication-manager alias="authenticationManager">
    <authentication-provider user-service-ref="userDao">
        <password-encoder hash="sha"/>
    </authentication-provider>
</authentication-manager>

The "userDao" bean is provided by AppFuse and its UserDaoHibernate.java class. This class implements Spring Security's UserDetailsService interface. With Java EE, I had to configure a database connection and make sure the JDBC Driver was in my container's classpath. With Spring Security, you can talk to the database you already have configured in your application.

Of course, you could do this with Java EE too. One thing I neglected to show in my last tutorial was that 1) the app uses H2 and 2) I had to configure Java EE's database to be MySQL. This was because when I tried to access my H2 instance, I got an error about two threads trying to access it at once.
2011-05-13 08:47:29.081:WARN::UserRealm Java EE Login could not connect to database; will try later
org.h2.jdbc.JdbcSQLException: Database may be already in use: "Locked by another process". 
        Possible solutions: close all other connection(s); use the server mode [90020-154]
	at org.h2.message.DbException.getJdbcSQLException(DbException.java:327)
	at org.h2.message.DbException.get(DbException.java:167)
	at org.h2.message.DbException.get(DbException.java:144)
	at org.h2.store.FileLock.getExceptionAlreadyInUse(FileLock.java:443)
	at org.h2.store.FileLock.lockFile(FileLock.java:338)
	at org.h2.store.FileLock.lock(FileLock.java:134)
	at org.h2.engine.Database.open(Database.java:535)
	at org.h2.engine.Database.openDatabase(Database.java:218)

The password for the "admin" user is configured in src/test/resources/sample-data.xml and it's loaded by DbUnit before the application starts. You can view your pom.xml and the dbunit-maven-plugin's configuration if you're interested in learning how this is done. The password is currently configured to "adminjdbc", but you can reset it by generating a new password and modifying sample-data.xml.

Now if you restart Jetty, you should be able to login with admin/adminjdbc and view the list of users.

Summary
In this tutorial, you learned how to implement authentication using Spring Security 3.0.5. In addition to the basic XML configuration, Spring Security also provides a AOP support and annotations you can use to secure methods. It also has many more features than standard Java EE Security. In my opinion, it's the most mature security framework we have in Java today. Currently, I think its reference documentation is the best place to learn more.

There are a few limitations I found with Spring Security:

  • The authentication mechanism (file, database, ldap, etc.) is contained in the WAR
  • Securing methods only works on Spring beans
  • Remember Me doesn't work in my screencast (because I forgot to rename the checkbox in login.jsp)

Of course, you can configure Spring to load its configuration from outside the WAR (e.g. a file or JNDI), but it's not as easy as including the configuration in your app.

In the next couple weeks, I'll post Part III of this series, where I'll show you how to implement this same set of features using Apache Shiro. In the meantime, please let me know if you have any questions.

I created the screencasts with Camtasia. For small screens, and embedding in the presentation, I created it at 50% and used the SmartFocus feature to zoom in and out during the demo. For larger screens, I published another screencast at 100%, in HD. If you have a preference for which screencast is better, I'd love to hear about it.

Posted in Java at May 13 2011, 09:20:51 AM MDT 10 Comments

AppFuse 2.1 Released!

The AppFuse Team is pleased to announce the release of AppFuse 2.1. This release includes upgrades to all dependencies to bring them up-to-date with their latest releases. Most notable are JPA 2, JSF 2, Tapestry 5 and Spring 3. In addition, we've migrated from XFire to CXF and enabled REST for web services. There's even a new appfuse-ws archetype that leverages Enunciate to generate web service endpoints, documentation and downloadable clients. This release fixes many issues with archetypes, improving startup time and allowing jetty:run to be used for quick turnaround while developing. For more details on specific changes see the release notes.

What is AppFuse?
AppFuse is an open source project and application that uses open source frameworks to help you develop Web applications with Java quickly and efficiently. It was originally developed to eliminate the ramp-up time when building new web applications. At its core, AppFuse is a project skeleton, similar to the one that's created by your IDE when you click through a wizard to create a new web project. If you use JRebel with IntelliJ, you can achieve zero-turnaround in your project and develop features without restarting the server.

Release Details
Archetypes now include all the source for the web modules so using jetty:run and your IDE will work much smoother now. The backend is still embedded in JARs, enabling you to choose with persistence framework (Hibernate, iBATIS or JPA) you'd like to use. If you want to modify the source for that, add the core classes to your project or run "appfuse:full-source".

AppFuse comes in a number of different flavors. It offers "light", "basic" and "modular" and archetypes. Light archetypes use an embedded H2 database and contain a simple CRUD example. Light archetypes allow code generation and full-source features, but do not currently support Stripes or Wicket. Basic archetypes have web services using CXF, authentication from Spring Security and features including signup, login, file upload and CSS theming. Modular archetypes are similar to basic archetypes, except they have multiple modules which allows you to separate your services from your web project.

AppFuse provides archetypes for JSF, Spring MVC, Struts 2 and Tapestry 5. The light archetypes are available for these frameworks, as well as for Spring MVC + FreeMarker, Stripes and Wicket. You can see demos of these archetypes at http://demo.appfuse.org.

For information on creating a new project, please see the QuickStart Guide.

If you have questions about AppFuse, please read the FAQ or join the user mailing list. If you find any issues, please report them on the mailing list or create an issue in JIRA.

Thanks to everyone for their help contributing patches, writing documentation and participating on the mailing lists.

We greatly appreciate the help from our sponsors, particularly Atlassian, Contegix and JetBrains. Atlassian and Contegix are especially awesome: Atlassian has donated licenses to all its products and Contegix has donated an entire server to the AppFuse project.

Posted in Java at Apr 04 2011, 09:38:05 AM MDT 5 Comments