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Create a Java App Server on a Virtual Machine
Curator's note: This tutorial originally appeared at the Windows Azure Java Developer Center. With Windows Azure, you can use a virtual machine to provide server capabilities. As an example, a virtual machine running on Windows Azure can be configured to host a Java application server, such as Apache Tomcat. On completing this guide, you will have an understanding of how to create a virtual machine running on Windows Azure and configure it to run a Java application server. You will learn: How to create a virtual machine. How to remotely log in to your virtual machine. How to install a JDK on your virtual machine. How to install a Java application server on your virtual machine. How to create an endpoint for your virtual machine. How to open a port in the firewall for your application server. For purposes of this tutorial, an Apache Tomcat application server will be installed on a virtual machine. The completed installation will result in a Tomcat installation such as the following. Note To complete this tutorial, you need a Windows Azure account that has the Windows Azure Virtual Machines feature enabled. You can create a free trial account and enable preview features in just a couple of minutes. For details, see Create a Windows Azure account and enable preview features. To create a virtual machine Log in to the Windows Azure Preview Management Portal. Click New. Click Virtual machine. Click Quick create. In the Create virtual machine screen, enter a value for DNS name. From the Image dropdown list, select an image, such as Windows Server 2008 R2 SP1. Enter a password in the New password field, and re-enter it in the Confirm field. This is the Administrator account password. Remember this password, you will use it when you remotely log in to the virtual machine. From the Location drop down list, select the data center location for your virtual machine; for example, West US. Your screen will look similar to the following. Click Create virtual machine. Your virtual machine will be created. You can monitor the status in the Virtual machines section of the management portal. To remotely log in to your virtual machine Log in to the Preview Management Portal. Click Virtual Machines, and then select the MyTestVM1 virtual machine that you previously created. On the command bar, click Connect. Click Open to use the remote desktop protocol file that was automatically created for the virtual machine Click Connect to proceed with the connection process. Type the password that you specified as the password of the Administrator account when you created the virtual machine, and then click OK. Click Yes to verify the identity of the virtual machine. To install a JDK on your virtual machine You can copy a Java Developer Kit (JDK) to your virtual machine, or install a JDK through an installer. For purposes of this tutorial, a JDK will be installed from Oracle's site. Log in to your virtual machine. Within your browser, open http://www.oracle.com/technetwork/java/javase/downloads/index.html. Click the Download button for the JDK that you want to download. For purposes of this tutorial, the Download button for the Java SE 6 Update 32 JDK was used. Accept the license agreement. Click the download executable for Windows x64 (64-bit). Follow the prompts and respond as needed to install the JDK to your virtual machine. To install a Java application server on your virtual machine You can copy a Java application server to your virtual machine, or install a Java application server through an installer. For purposes of this tutorial, a Java application server will be installed by copying a zip file from Apache's site. Log in to your virtual machine. Within your browser, open http://tomcat.apache.org/download-70.cgi. Double-click 64-bit Windows zip. (This tutorial used the zip for Tomcat Apache 7.0.27.) When prompted, choose to save the zip. When the zip is saved, open the folder that contains the zip and double-click the zip. Extract the zip. For purposes of this tutorial, the path used was C:\program files\apache-tomcat-7.0.27-windows-x64. To run the Java application server privately on your virtual machine The following steps show you how to run the Java application server and test it within the virtual machine's browser. It won't be usable by external computers until you create an endpoint and open a port (those steps are described later). Log in to your virtual machine. Add the JDK bin folder to the Pathenvironment variable: Click Windows Start. Right-click Computer. Click Properties. Click Advanced system settings. Click Advanced. Click Environment variables. In the System variables section, click the Path variable and then click Edit. Add a trailing ; to the Path variable value (if there is not one already) and then add c:\program files\java\jdk\bin to the end of the Path variable value (adjust the path as needed if you did not use c:\program files\java\jdk as the path for your JDK installation). Press OK on the opened dialogs to save your Path change. Set the JAVA_HOMEenvironment variable: Click Windows Start. Right-click Computer. Click Properties. Click Advanced system settings. Click Advanced. Click Environment variables. In the System variables section, click New. Create a variable named JRE_HOME and set its value to c:\program files\java\jdk\jre (adjust the path as needed if you did not use c:\program files\java\jdk as the path for your JDK installation). Press OK on the open dialogs to save your JRE_HOME environment variable. Start Tomcat: Open a command prompt. Change the current directory to the Apache Tomcat binfolder. For example: cd c:\program files\apache-tomcat-7.0.27-windows-x64\apache-tomcat-7.0.27\bin (Adjust the path as needed if you used a differrent installation path for Tomcat.) Run catalina.bat start. You should now see Tomcat running if you run the virtual machine's browser and open http://localhost:8080. To see Tomcat running from external machines, you'll need to create an endpoint and open a port. To create an endpoint for your virtual machine Log in to the Preview Management Portal. Click Virtual machines. Click the name of the virtual machine that is running your Java application server. Click Endpoints. Click Add endpoint. In the Add endpoint dialog, ensure Add endpoint is checked and click the Next button. In the New endpoint detailsdialog Specify a name for the endpoint; for example, HttpIn. Specify TCP for the protocol. Specify 80 for the public port. Specify 8080for the private port. Your screen should look similar to the following: Click the Check button to close the dialog. Your endpoint will now be created. To open a port in the firewall for your virtual machine Log in to your virtual machine. Click Windows Start. Click Control Panel. Click System and Security, click Windows Firewall, and then click Advanced Settings. Click Inbound Rules and then click New Rule. For the new rule, select Port for the Rule type and click Next. Select TCP for the protocol and specify 8080 for the port, and click Next. Choose Allow the connection and click Next. Ensure Domain, Private, and Public are checked for the profile and click Next. Specify a name for the rule, such as HttpIn (the rule name is not required to match the endpoint name, however), and then click Finish. At this point, your Tomcat web site should now be viewable from an external browser, using a URL of the form http://your_DNS_name.cloudapp.net, where your_DNS_name is the DNS name you specified when you created the virtual machine. Application lifecycle considerations You could create your own application web archive (WAR) and add it to the webapps folder. For example, create a basic Java Service Page (JSP) dynamic web project and export it as a WAR file, copy the WAR to the Apache Tomcat webapps folder on the virtual machine, then run it in a browser. This tutorial runs Tomcat through a command prompt where catalina.bat start was called. You may instead want to run Tomcat as a service, a key benefit being to have it automatically start if the virtual machine is rebooted. To run Tomcat as a service, you can install it as a service via the service.bat file in the Apache Tomcat bin folder, and then you could set it up to run automatically via the Services snap-in. You can start the Services snap-in by clicking Windows Start, Administrative Tools, and then Services. If you run service.bat install MyTomcat in the Apache Tomcat bin folder, then within the Services snap-in, your service name will appear as Apache Tomcat MyTomcat. By default when the service is installed, it will be set to start manually. To set it to start automatically, double-click the service in the Services snap-in and set Startup Type to Automatic, as shown in the following. You'll need to start the service the first time, which you can do through the Services snap-in (alternatively, you can reboot the virtual machine). Close the running occurrence of catalina.bat start if it is still running before starting the service.
October 15, 2012
by Eric Gregory
· 31,269 Views
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EasyNetQ Cluster Support
EasyNetQ, my super simple .NET API for RabbitMQ, now (from version 0.7.2.34) supports RabbitMQ clusters without any need to deploy a load balancer. Simply list the nodes of the cluster in the connection string ... var bus = RabbitHutch.CreateBus("host=ubuntu:5672,ubuntu:5673"); In this example I have set up a cluster on a single machine, 'ubuntu', with node 1 on port 5672 and node 2 on port 5673. When the CreateBus statement executes, EasyNetQ will attempt to connect to the first host listed (ubuntu:5672). If it fails to connect it will attempt to connect to the second host listed (ubuntu:5673). If neither node is available it will sit in a re-try loop attempting to connect to both servers every five seconds. It logs all this activity to the registered IEasyNetQLogger. You might see something like this if the first node was unavailable: DEBUG: Trying to connect ERROR: Failed to connect to Broker: 'ubuntu', Port: 5672 VHost: '/'. ExceptionMessage: 'None of the specified endpoints were reachable' DEBUG: OnConnected event fired INFO: Connected to RabbitMQ. Broker: 'ubuntu', Port: 5674, VHost: '/' If the node that EasyNetQ is connected to fails, EasyNetQ will attempt to connect to the next listed node. Once connected, it will re-declare all the exchanges and queues and re-start all the consumers. Here's an example log record showing one node failing then EasyNetQ connecting to the other node and recreating the subscribers: INFO: Disconnected from RabbitMQ Broker DEBUG: Trying to connect DEBUG: OnConnected event fired DEBUG: Re-creating subscribers INFO: Connected to RabbitMQ. Broker: 'ubuntu', Port: 5674, VHost: '/' You get automatic fail-over out of the box. That’s pretty cool. If you have multiple services using EasyNetQ to connect to a RabbitMQ cluster, they will all initially connect to the first listed node in their respective connection strings. For this reason the EasyNetQ cluster support is not really suitable for load balancing high throughput systems. I would recommend that you use a dedicated hardware or software load balancer instead, if that’s what you want.
October 14, 2012
by Mike Hadlow
· 6,854 Views
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Implementing Repository Pattern with Entity Framework
When working with Entity Framework - Code First model approach, a developer creates POCO entities for database tables. The benefit of using Code First model is to have POCO entity for each table that can be used as either WCF Data Contracts or you can apply your own custom attributes to handle Security, Logging, etc. and there is no mapping needed as we used to do in Entity Framework (Model First) approach if the application architecture is n-tier based. Considering the Data Access layer, we will implement a repository pattern that encapsulates the persistence logic in a separate class. This class will be responsible to perform database operations. Let’s suppose the application is based on n-tier architecture and having 3 tiers namely Presentation, Business and Data Access. Common library contains all our POCO entities that will be used by all the layers. Presentation Layer: Contains Views, Forms Business Layer: Managers that handle logic functionality Data Access Layer: Contains Repository class that handles CRUD operations Common Library: Contain POCO entities. We will implement an interface named “IRepository” that defines the signature of all the appropriate generic methods needed to perform CRUD operation and then implement the Repository class that defines the actual implementation of each method. We can also instantiate Repository object using Dependency Injection or apply Factory pattern. Code Snippet: IRepository public interface IRepository : IDisposable { /// /// Gets all objects from database /// /// IQueryable All() where T : class; /// /// Gets objects from database by filter. /// /// Specified a filter /// IQueryable Filter(Expression> predicate) where T : class; /// /// Gets objects from database with filting and paging. /// /// /// Specified a filter /// Returns the total records count of the filter. /// Specified the page index. /// Specified the page size /// IQueryable Filter(Expression> filter, out int total, int index = 0, int size = 50) where T : class; /// /// Gets the object(s) is exists in database by specified filter. /// /// Specified the filter expression /// bool Contains(Expression> predicate) where T : class; /// /// Find object by keys. /// /// Specified the search keys. /// T Find(params object[] keys) where T : class; /// /// Find object by specified expression. /// /// /// T Find(Expression> predicate) where T : class; /// /// Create a new object to database. /// /// Specified a new object to create. /// T Create(T t) where T : class; /// /// Delete the object from database. /// /// Specified a existing object to delete. int Delete(T t) where T : class; /// /// Delete objects from database by specified filter expression. /// /// /// int Delete(Expression> predicate) where T : class; /// /// Update object changes and save to database. /// /// Specified the object to save. /// int Update(T t) where T : class; /// /// Select Single Item by specified expression. /// /// /// /// T Single(Expression> expression) where T : class; void SaveChanges(); void ExecuteProcedure(String procedureCommand, params SqlParameter[] sqlParams); } Code Snippet: Repository public class Repository : IRepository { DbContext Context; public Repository() { Context = new DBContext(); } public Repository(DBContext context) { Context = context; } public void CommitChanges() { Context.SaveChanges(); } public T Single(Expression> expression) where T : class { return All().FirstOrDefault(expression); } public IQueryable All() where T : class { return Context.Set().AsQueryable(); } public virtual IQueryable Filter(Expression> predicate) where T : class { return Context.Set().Where(predicate).AsQueryable(); } public virtual IQueryable Filter(Expression> filter, out int total, int index = 0, int size = 50) where T : class { int skipCount = index * size; var _resetSet = filter != null ? Context.Set().Where(filter).AsQueryable() : Context.Set().AsQueryable(); _resetSet = skipCount == 0 ? _resetSet.Take(size) : _resetSet.Skip(skipCount).Take(size); total = _resetSet.Count(); return _resetSet.AsQueryable(); } public virtual T Create(T TObject) where T : class { var newEntry = Context.Set().Add(TObject); Context.SaveChanges(); return newEntry; } public virtual int Delete(T TObject) where T : class { Context.Set().Remove(TObject); return Context.SaveChanges(); } public virtual int Update(T TObject) where T : class { try { var entry = Context.Entry(TObject); Context.Set().Attach(TObject); entry.State = EntityState.Modified; return Context.SaveChanges(); } catch (OptimisticConcurrencyException ex) { throw ex; } } public virtual int Delete(Expression> predicate) where T : class { var objects = Filter(predicate); foreach (var obj in objects) Context.Set().Remove(obj); return Context.SaveChanges(); } public bool Contains(Expression> predicate) where T : class { return Context.Set().Count(predicate) > 0; } public virtual T Find(params object[] keys) where T : class { return (T)Context.Set().Find(keys); } public virtual T Find(Expression> predicate) where T : class { return Context.Set().FirstOrDefault(predicate); } public virtual void ExecuteProcedure(String procedureCommand, params SqlParameter[] sqlParams){ Context.Database.ExecuteSqlCommand(procedureCommand, sqlParams); } public virtual void SaveChanges() { Context.SaveChanges(); } public void Dispose() { if (Context != null) Context.Dispose(); } } The benefit of using Repository pattern is that all the database operations will be managed centrally and in future if you want to change the underlying database connector you can add another Repository class and defines its own implementation or change the existing one.
October 13, 2012
by Ovais Mehboob Ahmed Khan
· 31,732 Views
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How to Create and Deploy a Website with Windows Azure
Curator's note: This article originally appeared at WindowsAzure.com. To use this feature and other new Windows Azure capabilities, sign up for the free preview. Just as you can quickly create and deploy a web application created from the gallery, you can also deploy a website created on a workstation with traditional developer tools from Microsoft or other companies. Table of Contents Deployment Options How to: Create a Website Using the Management Portal How to: Create a Website from the Gallery How to: Delete a Website Next Steps Deployment Options Windows Azure supports deploying websites from remote computers using WebDeploy, FTP, GIT or TFS. Many development tools provide integrated support for publication using one or more of these methods and may only require that you provide the necessary credentials, site URL and hostname or URL for your chosen deployment method. Credentials and deployment URLs for all enabled deployment methods are stored in the website's publish profile, a file which can be downloaded in the Windows Azure (Preview) Management Portal from the Quick Start page or the quick glance section of the Dashboard page. If you prefer to deploy your website with a separate client application, high quality open source GIT and FTP clients are available for download on the Internet for this purpose. How to: Create a Website Using the Management Portal Follow these steps to create a website in Windows Azure. Login to the Windows Azure (Preview) Management Portal. Click the Create New icon on the bottom left of the Management Portal. Click the Web Site icon, click the Quick Create icon, enter a value for URL and then click the check mark next to create web site on the bottom right corner of the page. When the website has been created you will see the text Creation of Web Site '[SITENAME]' Completed. Click the name of the website displayed in the list of websites to open the website's Quick Start management page. On the Quick Start page you are provided with options to set up TFS or GIT publishing if you would like to deploy your finished website to Windows Azure using these methods. FTP publishing is set up by default for websites and the FTP Host name is displayed under FTP Hostname on the Quick Start and Dashboard pages. Before publishing with FTP or GIT choose the option to Reset deployment credentials on the Dashboard page. Then specify the new credentials (username and password) to authenticate against the FTP Host or the Git Repository when deploying content to the website. The Configure management page exposes several configurable application settings in the following sections: Framework: Set the version of .NET framework or PHP required by your web application. Diagnostics: Set logging options for gathering diagnostic information for your website in this section. App Settings: Specify name/value pairs that will be loaded by your web application on start up. For .NET sites, these settings will be injected into your .NET configuration AppSettings at runtime, overriding existing settings. For PHP and Node sites these settings will be available as environment variables at runtime. Connection Strings: View connection strings for linked resources. For .NET sites, these connection strings will be injected into your .NET configuration connectionStrings settings at runtime, overriding existing entries where the key equals the linked database name. For PHP and Node sites these settings will be available as environment variables at runtime. Default Documents: Add your web application's default document to this list if it is not already in the list. If your web application contains more than one of the files in the list then make sure your website's default document appears at the top of the list. How to: Create a Website from the Gallery The gallery makes available a wide range of popular web applications developed by Microsoft, third party companies, and open source software initiatives. Web applications created from the gallery do not require installation of any software other than the browser used to connect to the Windows Azure Management Portal. In this tutorial, you'll learn: How to create a new site through the gallery. How to deploy the site through the Windows Azure Portal. You'll build a Word press blog that uses a default template. The following illustration shows the completed application: Note To complete this tutorial, you need a Windows Azure account that has the Windows Azure Web Sites feature enabled. You can create a free trial account and enable preview features in just a couple of minutes. For details, see Create a Windows Azure account and enable preview features. Create a web site in the portal Login to the Windows Azure Management Portal. Click the New icon on the bottom left of the dashboard. Click the Web Site icon, and click From Gallery. Locate and click the WordPress icon in list, and then click Next. On the Configure Your App page, enter or select values for all fields: Enter a URL name of your choice Leave Create a new MySQL database selected in the Database field Select the region closest to you Then click Next. On the Create New Database page, you can specify a name for your new MySQL database or use the default name. Select the region closest to you as the hosting location. Select the box at the bottom of the screen to agree to ClearDB's usage terms for your hosted MySQL database. Then click the check to complete the site creation. After you click Complete Windows Azure will initiate build and deploy operations. While the web site is being built and deployed the status of these operations is displayed at the bottom of the Web Sites page. After all operations are performed, A final status message when the site has been successfully deployed. Launch and manage your WordPress site Click on your new site from the Web Sites page to open the dashboard for the site. On the Dashboard management page, scroll down and click the link on the left under Site Url to open the site’s welcome page. Enter appropriate configuration information required by WordPress and click Install WordPress to finalize configuration and open the web site’s login page. Login to the new WordPress web site by entering the username and password that you specified on the Welcome page. You'll have a new WordPress site that looks similar to the site below. How to: Delete a Website Websites are deleted using the Delete icon in the Windows Azure Management Portal. The Delete icon is available in the Windows Azure Portal when you click Web Sites to list all of your websites and at the bottom of each of the website management pages. Next Steps For more information about Websites, see the following: Walkthrough: Troubleshooting a Website on Windows Azure
October 9, 2012
by Eric Gregory
· 85,316 Views
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CI with GitHub, Bamboo and Nexus
This is the first in what will be a series of posts on how to establish a continuous delivery pipeline. The eventual goal is to have an app that we can push out into production anytime we like, safely and with little effort. But we’re going to start small and proceed incrementally, which is the best way to undertake this sort of effort. In this post we’ll start by establishing continuous integration for an arbitrary Java/Maven-based open source library project. It shouldn’t take more than an afternoon to do this more or less from scratch if you’re reasonably familiar with the technologies in question, except for the part where we have to get a Maven repo. We have to wait for Sonatype to approve the repo, but they’re pretty fast about it. I set this up for an open source library project I’m doing called Kite. The details of the project itself aren’t important for this exercise, but the open source library part is: Libraries (as opposed to apps) are easier to deal with, because deployment is just a matter of getting the binary into a Maven repo, as opposed to getting it running on a live server. Open source means that we can get a bunch of infrastructure freebies. Here’s what it will look like at the end of this post: So if you have an open source library you’ve been wanting to develop, now’s the time to get started! Find a place to host your project sources The right host depends on which SCM you prefer. If you like Git, then GitHub and Bitbucket are two obvious (free) choices. Bitbucket supports Mercurial as well, and it supports not just free public repos like GitHub, but free private repos as well. Anyway, I chose GitHub for Kite. Here’s the repo: GitHub Kite repo Set up a continuous integration server The next step is to set up a continuous integration server. Hudson and Jenkins are both pretty popular open source offerings, but I chose Atlassian’s Bamboo because the UI is a lot more polished. Bamboo is free for open source projects, and even if you decide to buy it, it’s only $10 for the starter license (proceeds go to charity), which gives you a local build agent. Anyway, you can’t go wrong with any of those, so choose one that makes sense and set it up. They’re all easy to set up. For Bamboo, you’ll need to install Java, Tomcat (or whichever container you like), Git and Maven 3 on the server as well. Bamboo is a Java web app, which is why you need Java and Tomcat. Bamboo uses Git to pull the code down from GitHub, and Maven to build the code. You’ll need to configure this using the Bamboo admin console, once you’ve installed the packages above, you can do the configuration entirely through the Bamboo UI and it’s very easy. After installing Ubuntu 11.10 server manually, I used Chef to set up everything on my Bamboo server except for deploying the Bamboo WAR itself, since Chef has community cookbooks for Java, Tomcat, Maven and Git. (Note however that currently the URL in the Maven 3 recipe is wrong, so if you go that way then you’ll need to update the URL and the checksum.) Jo Liss has a great tutorial on Chef Solo if you’re interested in giving this a shot. But you don’t have to use Chef. You can just use your native package manager if you prefer to do it that way. Once you have the executables all set up, you’ll need to create a build plan that slurps source code from GitHub and builds it with a Maven 3 task. In the screenshot you’ll notice that I created three separate stages here: a commit stage, an acceptance stage and a deploy stage. The idea, following Continuous Delivery, is to separate the fast-but-not-so-comprehensive feedback part from the slow-but-more-comprehensive feedback, and run those as different stages in the build. That way you know right away in most cases where you break the build (commit stage fails), and you still find out soon enough even in those cases where the breakage involves some kind of integration or business acceptance criterion. So in my Bamboo plan I do the commit stage first, then run integration tests during the acceptance stage, and finally deploy the snapshot build to my Maven repo using mvn deploy if the previous two stages pass. That makes it available to others for continuous integration. Let’s look at the Maven repo part now. Set up a Maven repo Sonatype offers a hosted Nexus-based Maven repo for free to open source projects. Moreover they’ll push your artifacts out to Maven central for you as well. So if that sounds good to you, here are instructions on signing up. JFrog’s Artifactory is an option as well. As you can see from the link, there’s an open source option. We use this at work and it’s pretty nice. For Sonatype, you’ll need to create a JIRA ticket to get the repo, as per the instructions above. Here’s mine. Also, your POM will need to conform to certain requirements; see this example for the POM that I’m using for Kite. Nothing too out-of-the-ordinary, though do take note of the parent POM. Anyway, once you have your Maven repo, practice manually deploying from the command line via mvn deploy just to make sure you’re able to push code. If it works, then you’ll want to try it out from Bamboo. Be sure to update Bamboo’s copy of Maven’s settings.xml so Bamboo can authenticate into the Sonatype repo: sonatype-nexus-snapshots your_username your_password sonatype-nexus-staging your_username your_password Once you have it working, you should be able to push your snapshots over to Sonatype. Here’s the Nexus UI, and here’s the raw directory browser view. Conclusion Though it takes a bit of effort to set this up, at the end of the day you have a good foundation for your continuous delivery efforts. In the next post in this series, we’ll expand our deployment pipeline so it can handle pushing a web application to a live, cloud-based container.
October 3, 2012
by Willie Wheeler
· 17,641 Views
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Integration Testing FTP Connections in .NET
when writing testable code, your first port of call is often to abstract any dependencies and make them easy to mock. this is the same for any of your codebase that talks to ftp servers. testing the way your code behaves under real world conditions makes integration tests important regardless of abstraction, though. here’s a simple trick to test ftp code in the wild. a recent project of mine has involved writing code that talks to ftp servers with the goal of adding additional continuous integration automation to a project. although all of my main methods are easily abstracted and injectable, my project still needs to actually talk to ftp servers at the end of the day, and i need to test that these very methods do the right thing when they are met with different conditions; be they bad credentials, lack of read/write permissions etc. the challenge integration tests can be brittle at the best of times, so ensuring that they are repeatable and can be setup and torn down can often be almost as much of a challenge as writing your actual code itself. an ftp server is usually a static service that is installed on a server. you might think that running one and ensuring it stays up and doesn’t get hacked just so that all your integration tests work is a necessary evil, but there is an easier way. run local. run often. i was running an ftp server on my build server just so that it was “always around” for my tests until i stumbled across an interesting project over on github to do just this . the approach i'm about to show you doesn’t need you to go to the effort of running a dedicated server at all. all you need to do is add a single executable to your unit test project and wrap your unit test in a using statement. the ftp server executable is a single file ftp server called ftpdmin which offers a read/write ftp server that can be fired up from the command line with a minimum feature set and only a few command line parameters to make it all tick. by implementing idisposable the helper class that wraps around this command line exe allows you to take advantage of the using() pattern to take care of your executable’s lifetime and have it die when your code is done testing. steps to make it happen download ftpdmin from here . add the exe to the root of your test project (you can put this anywhere, but you’ll have to update the helper class below). now add the exe to your project (i.e “view all items” in your test project’s solution explorer, and add the exe). set the exe to “copy always” in it’s solution properties. add the following code to a helper class in your test project: public class ftptestserver: idisposable { private readonly process ftpprocess; public ftptestserver(string rootdirectory, int port = 21, bool allowuploads = true) { var psinfo = new processstartinfo { filename = appdomain.currentdomain.basedirectory + "\\ftpdmin.exe", arguments = string.format("-p {0} -ha 127.0.0.1 \"{1}\" {2}", port, rootdirectory, allowuploads ? string.empty : "-g"), windowstyle = processwindowstyle.hidden }; ftpprocess = process.start(psinfo); } public void dispose() { if (ftpprocess.hasexited) return; ftpprocess.kill(); ftpprocess.waitforexit(); } } now you can enjoy being able to write really clean integration testing code that starts and ftp server every time you run your tests and then tear it down when your test is done. an example integration test showing connecting to “127.0.0.1”: [testmethod] public void ftpcode_upload_canconnect() { try { // fire up a new ftp server instance using (new ftptestserver(rootdirectory: "./")) { // code that talks to an ftp server on 127.0.0.1 } } catch (webexception e) { assert.fail("failed to connect to our ftp server"); } } how awesome is that? the power of using ftpdmin is that it can be told to deny write permissions to simulate bad user permissions as well: [testmethod] public void ftpcode_upload_throwswebexception() { try { // fire up a new ftp server instance using (new ftptestserver(rootdirectory: "./", allowuploads: false)) { // code that talks to an ftp server on 127.0.0.1 } } catch (webexception e) { assert.fail("our code failed to upload a file because of invalid permissions"); } } all in all, the above has been a complete lifesaver when it comes to making my integration test projects portable – if a new developer joins my project, they instantly get access to my ftp test harness just by pulling down my project’s source code.
September 27, 2012
by Douglas Rathbone
· 6,543 Views
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Customizing Spring Data JPA Repository
Spring Data is a very convenient library. However, as the project as quite new, it is not well featured. By default, Spring Data JPA will provide implementation of the DAO based on SimpleJpaRepository. In recent project, I have developed a customize repository base class so that I could add more features on it. You could add vendor specific features to this repository base class as you like. Configuration You have to add the following configuration to you spring beans configuration file. You have to specified a new repository factory class. We will develop the class later. extends SimpleJpaRepository implements GenericRepository , Serializable{ private static final long serialVersionUID = 1L; static Logger logger = Logger.getLogger(GenericRepositoryImpl.class); private final JpaEntityInformation entityInformation; private final EntityManager em; private final DefaultPersistenceProvider provider; private Class springDataRepositoryInterface; public Class getSpringDataRepositoryInterface() { return springDataRepositoryInterface; } public void setSpringDataRepositoryInterface( Class springDataRepositoryInterface) { this.springDataRepositoryInterface = springDataRepositoryInterface; } /** * Creates a new {@link SimpleJpaRepository} to manage objects of the given * {@link JpaEntityInformation}. * * @param entityInformation * @param entityManager */ public GenericRepositoryImpl (JpaEntityInformation entityInformation, EntityManager entityManager , Class springDataRepositoryInterface) { super(entityInformation, entityManager); this.entityInformation = entityInformation; this.em = entityManager; this.provider = DefaultPersistenceProvider.fromEntityManager(entityManager); this.springDataRepositoryInterface = springDataRepositoryInterface; } /** * Creates a new {@link SimpleJpaRepository} to manage objects of the given * domain type. * * @param domainClass * @param em */ public GenericRepositoryImpl(Class domainClass, EntityManager em) { this(JpaEntityInformationSupport.getMetadata(domainClass, em), em, null); } public S save(S entity) { if (this.entityInformation.isNew(entity)) { this.em.persist(entity); flush(); return entity; } entity = this.em.merge(entity); flush(); return entity; } public T saveWithoutFlush(T entity) { return super.save(entity); } public List saveWithoutFlush(Iterable entities) { List result = new ArrayList(); if (entities == null) { return result; } for (T entity : entities) { result.add(saveWithoutFlush(entity)); } return result; } } As a simple example here, I just override the default save method of the SimpleJPARepository. The default behaviour of the save method will not flush after persist. I modified to make it flush after persist. On the other hand, I add another method called saveWithoutFlush() to allow developer to call save the entity without flush. Define Custom repository factory bean The last step is to create a factory bean class and factory class to produce repository based on your customized base repository class. public class DefaultRepositoryFactoryBean , S, ID extends Serializable> extends JpaRepositoryFactoryBean { /** * Returns a {@link RepositoryFactorySupport}. * * @param entityManager * @return */ protected RepositoryFactorySupport createRepositoryFactory( EntityManager entityManager) { return new DefaultRepositoryFactory(entityManager); } } /** * * The purpose of this class is to override the default behaviour of the spring JpaRepositoryFactory class. * It will produce a GenericRepositoryImpl object instead of SimpleJpaRepository. * */ public class DefaultRepositoryFactory extends JpaRepositoryFactory{ private final EntityManager entityManager; private final QueryExtractor extractor; public DefaultRepositoryFactory(EntityManager entityManager) { super(entityManager); Assert.notNull(entityManager); this.entityManager = entityManager; this.extractor = DefaultPersistenceProvider.fromEntityManager(entityManager); } @SuppressWarnings({ "unchecked", "rawtypes" }) protected JpaRepository getTargetRepository( RepositoryMetadata metadata, EntityManager entityManager) { Class repositoryInterface = metadata.getRepositoryInterface(); JpaEntityInformation entityInformation = getEntityInformation(metadata.getDomainType()); if (isQueryDslExecutor(repositoryInterface)) { return new QueryDslJpaRepository(entityInformation, entityManager); } else { return new GenericRepositoryImpl(entityInformation, entityManager, repositoryInterface); //custom implementation } } @Override protected Class getRepositoryBaseClass(RepositoryMetadata metadata) { if (isQueryDslExecutor(metadata.getRepositoryInterface())) { return QueryDslJpaRepository.class; } else { return GenericRepositoryImpl.class; } } /** * Returns whether the given repository interface requires a QueryDsl * specific implementation to be chosen. * * @param repositoryInterface * @return */ private boolean isQueryDslExecutor(Class repositoryInterface) { return QUERY_DSL_PRESENT && QueryDslPredicateExecutor.class .isAssignableFrom(repositoryInterface); } } Conclusion You could now add more features to base repository class. In your program, you could now create your own repository interface extending GenericRepository instead of JpaRepository. public interface MyRepository extends GenericRepository { void someCustomMethod(ID id); } In next post, I will show you how to add hibernate filter features to this GenericRepository.
September 27, 2012
by Boris Lam
· 98,074 Views · 4 Likes
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Understanding Enterprise Integration Patterns
First of all we should define EIPs and why we should use them. As the name implies, these are tested solutions for specific design problems encountered during many years in the development of IT systems. And what is all the more important is that they are technology-agnostic which means it does not matter what programming language or operating system you use. Patterns are divided into seven sections: 1. Messaging Systems, 2. Messaging Channels, 3. Message Constructions, 4. Message Routing, 5. Message Transformation, 6. Messaging endpoints, 7. System management. The purpose of this article is to encourage you to use the patterns so I will discuss briefly only one or two such patterns from each of above sections. If you want to explore then further, visit http://www.eaipatterns.com/ or read Gregor Hohpe’s book mentioned in the introduction of this series. Message Channel (from Messaging Systems) A message channel is a logical channel which is used to connect the applications. One application writes messages to the channel and the other one (or others) reads that message from the channel. Message queue and message topic are examples of message channels. Message Translator (from Messaging Systems) Message translator transforms messages in one format to another. For example one application sends a message in XML format, but the other accepts only JSON messages so one of the parties (or mediator) has to transform XML data to JSON. This is probably the most widely used integration pattern. Publish-Subscribe Channel (from Messaging Channels) This type of channel broadcasts an event or notification to all subscribed receivers. This is in contrast with a point-to-point channel . Each subscriber receive the message once and next copy of this message is deleted from channel. The most common implementation of this patter is messaging topic. Dead Letter Channel (from Messaging Channels) The Dead Letter Channel describe scenario, what to do if the messaging system determines that it cannot deliver a message to the specified recipient. This may be caused for example by connection problems or other exception like overflowed memory or disc space. Usually, before sending the message to the Dead Letter Channel, multiple attempts to redeliver message are taken. Correlation Identifier (from Message Construction) Correlation Identifier gives the possibility to match request and reply message when asynchronous messaging system is used. This is usually accomplished in the following way: Producer: Generate unique correlation identifier. Producer: Send message with attached generated correlation identifier. Consumer: Process messages and send reply with attached correlation identifier given in request message. Producer: Correlate request and reply message based on correlation identifier. Content-Based Router (from Message Routing) Content-Based Router examines message contents and route messages based on data contained in the message. Content Enricher (from Message Transformation) Content Enricher as the name suggests enrich message with missing information. Usually external data source like database or web service is used. Event-Driven Consumer (from Messaging Endpoints) Event-Driver Consumer enables you to provide a action that is called automatically by the messaging channel or transport layer. It is asynchronous type of pattern because receiver does not have a running thread until a callback thread delivers a message. Polling Consumer (from Messaging Endpoints) Polling Consumer is used when we want receiver to poll for a message, process it and next poll for another. What is very important is that this pattern is synchronous because it blocks thread until a message is received. This is in contrast with a event-driven consumer. An example of using this pattern is file polling. Wire Tap (from System Management) Wire Tap copy a message and route it to a separate channel, while the original message is forwarded to the destination channel. Usually Wire Tap is used to inspect message or for analysis purposes.
September 20, 2012
by Michał Warecki
· 76,281 Views · 23 Likes
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New ActiveMQ failover and Clustering Goodies
For the last two weeks I’ve been working on some interesting use cases for the good ol’ failover transport. I finally have some time at my hands, so here’s a brief recap of what’s coming in 5.6 release in this area. First there’s a new feature, called Priority Backup. It’s described in details here, but in a nutshell it provides you with the mechanism of prioritizing your failover urls and keep your clients connected to them as soon as they are available. The most obvious use case for this is to keep your clients connected to the broker in local data center whenever you can. By doing this, you can both have better performances and stability of your clients, but also save on your bandwidth bills. Another improvement is coming for automatic broker cluster feature. Although this feature is not new, I spent some time hardening it and thought to share some more insight in how (and when) to use it in your projects. In search of high availability, people often default to master-slave architecture. This makes sense in most use cases, but if your flow is purely non-persistent you can probably come up with more optimal architecture. Instead of having one broker at the time handling all your load, and other one just waiting for it to fail, you’ll get more efficient system with some kind of active-active configuration where (possibly multiple) brokers share the load all the time. Ideally clients would be evenly distributed and would rebalance if anything changes. Brokers don’t need to share any messages as clients are distributed and messages are non-persistent so they will be lost if broker fails. So can you achieve this kind of architecture with ActiveMQ? Sure you do. That’s where automatic rebalance and clustering shines. First of all, brokers should be networked but only so they can exchange information on their availability. They shouldn’t exchange the messages (but of course can if your use case needs it). In 5.6 you do that with pure static networks, using configuration like So now imagine three brokers A,B and C forming a full mesh. In addition every broker uses rebalance options on their transport connectors All that is left for the client to do is connect to one of the brokers it knows like failover:(brokerA) and the broker will fill it with all information on other brokers in the cluster and whether it should reconnect to one of them or not. So having a large number of clients connecting like this, very soon they’ll rebalance over available brokers. You can stop one of the brokers in the cluster for updates and clients will rebalance over remaining ones. You can even add a new broker to the cluster and everything will get rebalanced without any need for you to touch your clients. So, basically in this way you have both load balancing and high availability for your non-persistent messages. Additionally, your clients are automatically updated with all information they need, and no manual intervention is needed. Although the basic support for clustering was there since 5.4, I did some more hardening and better rebalancing, so it’s coming in the Apache ActiveMQ 5.6 (and the next Fuse 5.5.1) release. Also, there are some more great stuff regarding broker clustering coming soon, so stay tuned and happy messaging.
September 10, 2012
by Dejan Bosanac
· 15,415 Views
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Fixing Bugs - If You Can't Reproduce a Bug, You Can't Fix It
Fixing a problem usually starts with reproducing it – what Steve McConnell calls “stabilizing the error.” Technically speaking, you can’t be sure you are fixing the problem unless you can run through the same steps, see the problem happen yourself, fix it, and then run through the same steps and make sure that the problem went away. If you can’t reproduce it, then you are only guessing at what’s wrong, and that means you are only guessing that your fix is going to work. But let’s face it – it’s not always practical or even possible to reproduce a problem. Lots of bug reports don’t include enough information for you to understand what the hell the problem actually was, never mind what was going on when the problem occurred – especially bug reports from the field. Rahul Premraj and Thomas Zimmermann found in The Art of Collecting Bug Reports (from the book Making Software), that the two most important factors in determining whether a bug report will get fixed or not are: Is the description well-written, can the programmer understand what was wrong or why the customer thought something was wrong? Does it include steps to reproduce the problem, even basic information about what they were doing when the problem happened? It’s not a lot to ask – from a good tester at least. But you can’t reasonably expect this from customers. There are other cases where you have enough information, but don’t have the tools or expertise to reproduce a problem – for example, when a pen tester has found a security bug using specialist tools that you don’t have or don’t understand how to use. Sometimes you can fix a problem without being able to see it happen in front of you, come up with a theory on your own, trusting your gut – especially if this is code that you recently worked on. But reproducing the problem first gives you the confidence that you aren’t wasting your time and that you actually fixed the right issue. Trying to reproduce the problem should almost always be your first step. What’s involved in reproducing a bug? What you want to do is to find, as quickly as possible, a simple test that consistently shows the problem, so that you can then run a set of experiments, trace through the code, isolate what’s wrong, and prove that it went away after you fixed the code. The best explanation that I’ve found of how to reproduce a bug is in Debug It! where Paul Butcher patiently explains the pre-conditions (identifying the differences between your test environment and the customer’s environment, and trying to control as many of them as possible), and then how to walk backwards from the error to recreate the conditions required to make the problem happen again. Butcher is confident that if you take a methodical approach, you will (almost) always be able to reproduce the problem successfully. In Why Programs Fail: A guide to Systematic Debugging, Andreas Zeller, a German Comp Sci professor, explains that it’s not enough just to make the problem happen again. Your goal is to come up with the simplest set of circumstances that will trigger the problem – the smallest set of data and dependencies, the simplest and most efficient test(s) with the fewest variables, the shortest path to making the problem happen. You need to understand what is not relevant to the problem, what’s just noise that adds to the cost and time of debugging and testing – and get rid of it. You do this using binary techniques to slice up the input data set, narrowing in on the data and other variables that you actually need, repeating this until the problem starts to become clear. Code Complete’s chapter on Debugging is another good guide on how to reproduce a problem following a set of iterative steps, and how to narrow in on the simplest and most useful set of test conditions required to make the problem happen; as well as common places to look for bugs: checking for code that has been changed recently, code that has a history of other bugs, code that is difficult to understand (if you find it hard to understand, there’s a good chance that the programmers who worked on it before you did too). Replay Tools One of the most efficient ways to reproduce a problem, especially in server code, is by automatically replaying the events that led up to the problem. To do this you’ll need to capture a time-sequenced record of what happened, usually from an audit log, and a driver to read and play the events against the system. And for this to work properly, the behavior of the system needs to be deterministic – given the same set of inputs in the same sequence, the same results will occur each time. Otherwise you’ll have to replay the logs over and over and hope for the right set of circumstances to occur again. On one system that I worked on, the back-end engine was a deterministic state machine designed specifically to support replay. All of the data and events, including configuration and control data and timer events, were recorded in an inbound event log that we could replay. There were no random factors or unpredictable external events – the behavior of the system could always be recreated exactly by replaying the log, making it easy to reproduce bugs from the field. It was a beautiful thing, but most code isn’t designed to support replay in this way. Recent research in virtual machine technology has led to the development of replay tools to snapshot and replay events in a virtual machine. VMWare Workstation, for example, included a cool replay debugging facility for C/C++ programmers which was “guaranteed to have instruction-by-instruction identical behavior each time.” Unfortunately, this was an expensive thing to make work, and it was dropped in version 8, at the end of last year. Replay Solutions provides replay for Java programs, creating a virtual machine to record the complete stream of events (including database I/O, network I/O, system calls, interrupts) as the application is running, and then later letting you simulate and replay the same events against a copy of the running system, so that you can debug the application and observe its behavior. They also offer similar application record and replay technology for mobile HTML5 and JavaScript applications. This is exciting stuff, especially for complex systems where it is difficult to setup and reproduce problems in different environments. Fuzzing and Randomness If the problem is non-deterministic, or you can't come up with the right set of inputs, one approach to try is to simulate random data inputs and watch to see what happens - hoping to happen on a set of input variables that will trigger the problem. This is called fuzzing. Fuzzing is a brute force testing technique that is used to uncover data validation weaknesses that can cause reliability and security problems. It's effective at finding bugs, but it’s a terribly inefficient way to reproduce a specific problem. First you need to setup something to fuzz the inputs (this is easy if a program is reading from a file, or a web form – there are fuzzing tools to help with this – but a hassle if you need to write your own smart protocol fuzzer to test against internal APIs). Then you need time to run through all of the tests (with mutation fuzzing, you may need to run tens of thousands or hundreds of thousands of tests to get enough interesting combinations) and more time to sift through and review all of the test results and understand any problems that are found. Through fuzzing you will get new information about the system to help you identity problem areas in the code, and maybe find new bugs, but you may not end up any closer to fixing the problem that you started on. Reproducing problems, especially when you are working from a bad bug report (“the system was running fine all day, then it crashed… the error said something about a null pointer I think?”) can be a serious time sink. But what if you can’t reproduce the problem at all? Let’s look at that next…
September 9, 2012
by Jim Bird
· 45,500 Views
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How to Write Better POJO Services
In Java, you can easily implement some business logic in Plain Old Java Object (POJO) classes, and then able to run them in a fancy server or framework without much hassle. There many server/frameworks, such as JBossAS, Spring or Camel etc, that would allow you to deploy POJO without even hardcoding to their API. Obviously you would get advance features if you willing to couple to their API specifics, but even if you do, you can keep these to minimal by encapsulating your own POJO and their API in a wrapper. By writing and designing your own application as simple POJO as possible, you will have the most flexible ways in choose a framework or server to deploy and run your application. One effective way to write your business logic in these environments is to use Service component. In this article I will share few things I learned in writing Services. What is a Service? The word Service is overly used today, and it could mean many things to different people. When I say Service, my definition is a software component that has minimal of life-cycles such as init, start, stop, and destroy. You may not need all these stages of life-cycles in every service you write, but you can simply ignore ones that don't apply. When writing large application that intended for long running such as a server component, definining these life-cycles and ensure they are excuted in proper order is crucial! I will be walking you through a Java demo project that I have prepared. It's very basic and it should run as stand-alone. The only dependency it has is the SLF4J logger. If you don't know how to use logger, then simply replace them with System.out.println. However I would strongly encourage you to learn how to use logger effectively during application development though. Also if you want to try out the Spring related demos, then obviously you would need their jars as well. Writing basic POJO service You can quickly define a contract of a Service with life-cycles as below in an interface. package servicedemo; public interface Service { void init(); void start(); void stop(); void destroy(); boolean isInited(); boolean isStarted(); } Developers are free to do what they want in their Service implementation, but you might want to give them an adapter class so that they don't have to re-write same basic logic on each Service. I would provide an abstract service like this: package servicedemo; import java.util.concurrent.atomic.*; import org.slf4j.*; public abstract class AbstractService implements Service { protected Logger logger = LoggerFactory.getLogger(getClass()); protected AtomicBoolean started = new AtomicBoolean(false); protected AtomicBoolean inited = new AtomicBoolean(false); public void init() { if (!inited.get()) { initService(); inited.set(true); logger.debug("{} initialized.", this); } } public void start() { // Init service if it has not done so. if (!inited.get()) { init(); } // Start service now. if (!started.get()) { startService(); started.set(true); logger.debug("{} started.", this); } } public void stop() { if (started.get()) { stopService(); started.set(false); logger.debug("{} stopped.", this); } } public void destroy() { // Stop service if it is still running. if (started.get()) { stop(); } // Destroy service now. if (inited.get()) { destroyService(); inited.set(false); logger.debug("{} destroyed.", this); } } public boolean isStarted() { return started.get(); } public boolean isInited() { return inited.get(); } @Override public String toString() { return getClass().getSimpleName() + "[id=" + System.identityHashCode(this) + "]"; } protected void initService() { } protected void startService() { } protected void stopService() { } protected void destroyService() { } } This abstract class provide the basic of most services needs. It has a logger and states to keep track of the life-cycles. It then delegate new sets of life-cycle methods so subclass can choose to override. Notice that the start() method is checking auto calling init() if it hasn't already done so. Same is done in destroy() method to the stop() method. This is important if we're to use it in a container that only have two stages life-cycles invocation. In this case, we can simply invoke start() and destroy() to match to our service's life-cycles. Some frameworks might go even further and create separate interfaces for each stage of the life-cycles, such as InitableService or StartableService etc. But I think that would be too much in a typical app. In most of the cases, you want something simple, so I like it just one interface. User may choose to ignore methods they don't want, or simply use an adaptor class. Before we end this section, I would throw in a silly Hello world service that can be used in our demo later. package servicedemo; public class HelloService extends AbstractService { public void initService() { logger.info(this + " inited."); } public void startService() { logger.info(this + " started."); } public void stopService() { logger.info(this + " stopped."); } public void destroyService() { logger.info(this + " destroyed."); } } Managing multiple POJO Services with a container Now we have the basic of Service definition defined, your development team may start writing business logic code! Before long, you will have a library of your own services to re-use. To be able group and control these services into an effetive way, we want also provide a container to manage them. The idea is that we typically want to control and manage multiple services with a container as a group in a higher level. Here is a simple implementation for you to get started: package servicedemo; import java.util.*; public class ServiceContainer extends AbstractService { private List services = new ArrayList(); public void setServices(List services) { this.services = services; } public void addService(Service service) { this.services.add(service); } public void initService() { logger.debug("Initializing " + this + " with " + services.size() + " services."); for (Service service : services) { logger.debug("Initializing " + service); service.init(); } logger.info(this + " inited."); } public void startService() { logger.debug("Starting " + this + " with " + services.size() + " services."); for (Service service : services) { logger.debug("Starting " + service); service.start(); } logger.info(this + " started."); } public void stopService() { int size = services.size(); logger.debug("Stopping " + this + " with " + size + " services in reverse order."); for (int i = size - 1; i >= 0; i--) { Service service = services.get(i); logger.debug("Stopping " + service); service.stop(); } logger.info(this + " stopped."); } public void destroyService() { int size = services.size(); logger.debug("Destroying " + this + " with " + size + " services in reverse order."); for (int i = size - 1; i >= 0; i--) { Service service = services.get(i); logger.debug("Destroying " + service); service.destroy(); } logger.info(this + " destroyed."); } } From above code, you will notice few important things: We extends the AbstractService, so a container is a service itself. We would invoke all service's life-cycles before moving to next. No services will start unless all others are inited. We should stop and destroy services in reverse order for most general use cases. The above container implementation is simple and run in synchronized fashion. This mean, you start container, then all services will start in order you added them. Stop should be same but in reverse order. I also hope you would able to see that there is plenty of room for you to improve this container as well. For example, you may add thread pool to control the execution of the services in asynchronized fashion. Running POJO Services Running services with a simple runner program. In the simplest form, we can run our POJO services on our own without any fancy server or frameworks. Java programs start its life from a static main method, so we surely can invoke init and start of our services in there. But we also need to address the stop and destroy life-cycles when user shuts down the program (usually by hitting CTRL+C.) For this, the Java has the java.lang.Runtime#addShutdownHook() facility. You can create a simple stand-alone server to bootstrap Service like this: package servicedemo; import org.slf4j.*; public class ServiceRunner { private static Logger logger = LoggerFactory.getLogger(ServiceRunner.class); public static void main(String[] args) { ServiceRunner main = new ServiceRunner(); main.run(args); } public void run(String[] args) { if (args.length < 1) throw new RuntimeException("Missing service class name as argument."); String serviceClassName = args[0]; try { logger.debug("Creating " + serviceClassName); Class serviceClass = Class.forName(serviceClassName); if (!Service.class.isAssignableFrom(serviceClass)) { throw new RuntimeException("Service class " + serviceClassName + " did not implements " + Service.class.getName()); } Object serviceObject = serviceClass.newInstance(); Service service = (Service)serviceObject; registerShutdownHook(service); logger.debug("Starting service " + service); service.init(); service.start(); logger.info(service + " started."); synchronized(this) { this.wait(); } } catch (Exception e) { throw new RuntimeException("Failed to create and run " + serviceClassName, e); } } private void registerShutdownHook(final Service service) { Runtime.getRuntime().addShutdownHook(new Thread() { public void run() { logger.debug("Stopping service " + service); service.stop(); service.destroy(); logger.info(service + " stopped."); } }); } } With abover runner, you should able to run it with this command: $ java demo.ServiceRunner servicedemo.HelloService Look carefully, and you'll see that you have many options to run multiple services with above runner. Let me highlight couple: Improve above runner directly and make all args for each new service class name, instead of just first element. Or write a MultiLoaderService that will load multiple services you want. You may control argument passing using System Properties. Can you think of other ways to improve this runner? Running services with Spring The Spring framework is an IoC container, and it's well known to be easy to work POJO, and Spring lets you wire your application together. This would be a perfect fit to use in our POJO services. However, with all the features Spring brings, it missed a easy to use, out of box main program to bootstrap spring config xml context files. But with what we built so far, this is actually an easy thing to do. Let's write one of our POJO Service to bootstrap a spring context file. package servicedemo; import org.springframework.context.ConfigurableApplicationContext; import org.springframework.context.support.FileSystemXmlApplicationContext; public class SpringService extends AbstractService { private ConfigurableApplicationContext springContext; public void startService() { String springConfig = System.getProperty("springContext", "spring.xml); springContext = new FileSystemXmlApplicationContext(springConfig); logger.info(this + " started."); } public void stopService() { springContext.close(); logger.info(this + " stopped."); } } With that simple SpringService you can run and load any spring xml file. For example try this: $ java -DspringContext=config/service-demo-spring.xml demo.ServiceRunner servicedemo.SpringService Inside the config/service-demo-spring.xml file, you can easily create our container that hosts one or more service in Spring beans. Notice that I only need to setup init-method and destroy-method once on the serviceContainer bean. You can then add one or more other service such as the helloService as much as you want. They will all be started, managed, and then shutdown when you close the Spring context. Note that Spring context container did not explicitly have the same life-cycles as our services. The Spring context will automatically instanciate all your dependency beans, and then invoke all beans who's init-method is set. All that is done inside the constructor of FileSystemXmlApplicationContext. No explicit init method is called from user. However at the end, during stop of the service, Spring provide the springContext#close() to clean things up. Again, they do not differentiate stop from destroy. Because of this, we must merge our init and start into Spring's init state, and then merge stop and destroy into Spring's close state. Recall our AbstractService#destory will auto invoke stop if it hasn't already done so. So this is trick that we need to understand in order to use Spring effectively. Running services with JEE app server In a corporate env, we usually do not have the freedom to run what we want as a stand-alone program. Instead they usually have some infrustructure and stricter standard technology stack in place already, such as using a JEE application server. In these situation, the most portable way to run POJO services is in a war web application. In a Servlet web application, you can write a class that implements javax.servlet.ServletContextListener and this will provide you the life-cycles hook via contextInitialized and contextDestroyed. In there, you can instanciate your ServiceContainer object and call start and destroy methods accordingly. Here is an example that you can explore: package servicedemo; import java.util.*; import javax.servlet.*; public class ServiceContainerListener implements ServletContextListener { private static Logger logger = LoggerFactory.getLogger(ServiceContainerListener.class); private ServiceContainer serviceContainer; public void contextInitialized(ServletContextEvent sce) { serviceContainer = new ServiceContainer(); List services = createServices(); serviceContainer.setServices(services); serviceContainer.start(); logger.info(serviceContainer + " started in web application."); } public void contextDestroyed(ServletContextEvent sce) { serviceContainer.destroy(); logger.info(serviceContainer + " destroyed in web application."); } private List createServices() { List result = new ArrayList(); // populate services here. return result; } } You may configure above in the WEB-INF/web.xml like this: servicedemo.ServiceContainerListener The demo provided a placeholder that you must add your services in code. But you can easily make that configurable using the web.xml for context parameters. If you were to use Spring inside a Servlet container, you may directly use their org.springframework.web.context.ContextLoaderListener class that does pretty much same as above, except they allow you to specify their xml configuration file using the contextConfigLocation context parameter. That's how a typical Spring MVC based application is configure. Once you have this setup, you can experiment our POJO service just as the Spring xml sample given above to test things out. You should see our service in action by your logger output. PS: Actually what we described here are simply related to Servlet web application, and not JEE specific. So you can use Tomcat server just fine as well. The importance of Service's life-cycles and it's real world usage All the information I presented here are not novelty, nor a killer design pattern. In fact they have been used in many popular open source projects. However, in my past experience at work, folks always manage to make these extremely complicated, and worse case is that they completely disregard the importance of life-cycles when writing services. It's true that not everything you going to write needs to be fitted into a service, but if you find the need, please do pay attention to them, and take good care that they do invoked properly. The last thing you want is to exit JVM without clean up in services that you allocated precious resources for. These would become more disastrous if you allow your application to be dynamically reloaded during deployment without exiting JVM, in which will lead to system resources leakage. The above Service practice has been put into use in the TimeMachine project. In fact, if you look at the timemachine.scheduler.service.SchedulerEngine, it would just be a container of many services running together. And that's how user can extend the scheduler functionalities as well, by writing a Service. You can load these services dynamically by a simple properties file.
September 4, 2012
by Zemian Deng
· 39,170 Views
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Adding Hibernate Entity Level Filtering feature to Spring Data JPA Repository
Original Article: http://borislam.blogspot.hk/2012/07/adding-hibernate-entity-level-filter.html Those who have used data filtering features of hibernate should know that it is very powerful. You could define a set of filtering criteria to an entity class or a collection. Spring data JPA is a very handy library but it does not have fitering features. In this post, I will demonstarte how to add the hibernate filter features at entity level. You can use this features when you are using Hibernate Entity Manager. We can just define annotation in your repositoy interface to enable this features. Step 1. Define filter at entity level as usual. Just use hibernate @FilterDef annotation @Entity @Table(name = "STUDENT") @FilterDef(name="filterBySchoolAndClass", parameters={@ParamDef(name="school", type="string"),@ParamDef(name="class", type="integer")}) public class Student extends GenericEntity implements Serializable { // add your properties ... } Step2. Define two custom annotations. These two annotations are to be used in your repository interfaces. You could apply the hibernate filter defined in step 1 to specific query through these annotations. @Target(ElementType.TYPE) @Retention(RetentionPolicy.RUNTIME) public @interface EntityFilter { FilterQuery[] filterQueries() default {}; } @Retention(RetentionPolicy.RUNTIME) public @interface FilterQuery { String name() default ""; String jpql() default ""; } Step3. Add a method to your Spring data JPA base repository. This method will read the annotation you defined (i.e. @FilterQuery) and apply hibernate filter to the query by just simply unwrap the EntityManager. You could specify the parameter in your hibernate filter and also the parameter in you query in this method. If you do not know how to add custom method to your Spring data JPA base repository, please see my previous article for how to customize your Spring data JPA base repository for detail. You can see in previous article that I intentionally expose the repository interface (i.e. the springDataRepositoryInterface property) in the GenericRepositoryImpl. This small tricks enable me to access the annotation in the repository interface easily. public List doQueryWithFilter( String filterName, String filterQueryName, Map inFilterParams, Map inQueryParams){ if (GenericRepository.class.isAssignableFrom(getSpringDataRepositoryInterface())) { Annotation entityFilterAnn = getSpringDataRepositoryInterface().getAnnotation(EntityFilter.class); if(entityFilterAnn != null){ EntityFilter entityFilter = (EntityFilter)entityFilterAnn; FilterQuery[] filterQuerys = entityFilter.filterQueries() ; for (FilterQuery fQuery : filterQuerys) { if (StringUtils.equals(filterQueryName, fQuery.name())) { String jpql = fQuery.jpql(); Filter filter = em.unwrap(Session.class).enableFilter(filterName); //set filter parameter for (Object key: inFilterParams.keySet()) { String filterParamName = key.toString(); Object filterParamValue = inFilterParams.get(key); filter.setParameter(filterParamName, filterParamValue); } //set query parameter Query query= em.createQuery(jpql); for (Object key: inQueryParams.keySet()) { String queryParamName = key.toString(); Object queryParamValue = inQueryParams.get(key); query.setParameter(queryParamName, queryParamValue); } return query.getResultList(); } } } } } return null; } Last Step: example usage In your repositry, define which query you would like to apply hibernate filter through your @EntityFilter and @FilterQuery annotation. @EntityFilter ( filterQueries = { @FilterQuery(name="query1", jpql="SELECT s FROM Student LEFT JOIN FETCH s.Subject where s.subject = :subject" ), @FilterQuery(name="query2", jpql="SELECT s FROM Student LEFT JOIN s.TeacherSubject where s.teacher = :teacher") } ) public interface StudentRepository extends GenericRepository { } In your service or business class that inject your repository, you could just simply call the doQueryWithFilter() method to enable the filtering function. @Service public class StudentService { @Inject private StudentRepository studentRepository; public List searchStudent( String subject, String school, String class) { List studentList; // Prepare parameters for query filter HashMap inFilterParams = new HashMap(); inFilterParams.put("school", "Hong Kong Secondary School"); inFilterParams.put("class", "S5"); // Prepare parameters for query HashMap inParams = new HashMap(); inParams.put("subject", "Physics"); studentList = studentRepository.doQueryWithFilter( "filterBySchoolAndClass", "query1", inFilterParams, inParams); return studentList; } }
August 24, 2012
by Boris Lam
· 56,827 Views · 1 Like
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Spring Data, Spring Security and Envers integration
Learn about pros, cons, and basics of Spring security and data, plus Envers integration.
August 20, 2012
by Nicolas Fränkel
· 25,023 Views · 1 Like
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EF Migrations Command Reference
Entity Framework Migrations are handled from the package manager console in Visual Studio. The usage is shown in various tutorials, but I haven’t found a complete list of the commands available and their usage, so I created my own. There are four available commands. Enable-Migrations: Enables Code First Migrations in a project. Add-Migration: Scaffolds a migration script for any pending model changes. Update-Database: Applies any pending migrations to the database. Get-Migrations: Displays the migrations that have been applied to the target database. The information here is the output of running get-help command-name -detailed for each of the commands in the package manager console (running EF 4.3.1). I’ve also added some own comments where I think some information is missing. My own comments are placed under the Additional Information heading. Please note that all commands should be entered on the same line. I’ve added line breaks to avoid vertical scrollbars. Enable-Migrations Enables Code First Migrations in a project. Syntax Enable-Migrations [-EnableAutomaticMigrations] [[-ProjectName] ] [-Force] [] Description Enables Migrations by scaffolding a migrations configuration class in the project. If the target database was created by an initializer, an initial migration will be created (unless automatic migrations are enabled via the EnableAutomaticMigrations parameter). Parameters -EnableAutomaticMigrations Specifies whether automatic migrations will be enabled in the scaffolded migrations configuration. If ommitted, automatic migrations will be disabled. -ProjectName Specifies the project that the scaffolded migrations configuration class will be added to. If omitted, the default project selected in package manager console is used. -Force Specifies that the migrations configuration be overwritten when running more than once for given project. This cmdlet supports the common parameters: Verbose, Debug, ErrorAction, ErrorVariable, WarningAction, WarningVariable, OutBuffer and OutVariable. For more information, type: get-help about_commonparameters. Remarks To see the examples, type: get-help Enable-Migrations -examples. For more information, type: get-help Enable-Migrations -detailed. For technical information, type: get-help Enable-Migrations -full. Additional Information The flag for enabling automatic migrations is saved in the Migrations\Configuration.cs file, in the constructor. To later change the option, just change the assignment in the file. public Configuration() { AutomaticMigrationsEnabled = false; } Add-Migration Scaffolds a migration script for any pending model changes. Syntax Add-Migration [-Name] [-Force] [-ProjectName ] [-StartUpProjectName ] [-ConfigurationTypeName ] [-ConnectionStringName ] [-IgnoreChanges] [] Add-Migration [-Name] [-Force] [-ProjectName ] [-StartUpProjectName ] [-ConfigurationTypeName ] -ConnectionString -ConnectionProviderName [-IgnoreChanges] [] Description Scaffolds a new migration script and adds it to the project. Parameters -Name Specifies the name of the custom script. -Force Specifies that the migration user code be overwritten when re-scaffolding an existing migration. -ProjectName Specifies the project that contains the migration configuration type to be used. If ommitted, the default project selected in package manager console is used. -StartUpProjectName Specifies the configuration file to use for named connection strings. If omitted, the specified project’s configuration file is used. -ConfigurationTypeName Specifies the migrations configuration to use. If omitted, migrations will attempt to locate a single migrations configuration type in the target project. -ConnectionStringName Specifies the name of a connection string to use from the application’s configuration file. -ConnectionString Specifies the the connection string to use. If omitted, the context’s default connection will be used. -ConnectionProviderName Specifies the provider invariant name of the connection string. -IgnoreChanges Scaffolds an empty migration ignoring any pending changes detected in the current model. This can be used to create an initial, empty migration to enable Migrations for an existing database. N.B. Doing this assumes that the target database schema is compatible with the current model. This cmdlet supports the common parameters: Verbose, Debug, ErrorAction, ErrorVariable, WarningAction, WarningVariable, OutBuffer and OutVariable. For more information, type: get-help about_commonparameters. Remarks To see the examples, type: get-help Add-Migration -examples. For more information, type: get-help Add-Migration -detailed. For technical information, type: get-help Add-Migration -full. Update-Database Applies any pending migrations to the database. Syntax Update-Database [-SourceMigration ] [-TargetMigration ] [-Script] [-Force] [-ProjectName ] [-StartUpProjectName ] [-ConfigurationTypeName ] [-ConnectionStringName ] [] Update-Database [-SourceMigration ] [-TargetMigration ] [-Script] [-Force] [-ProjectName ] [-StartUpProjectName ] [-ConfigurationTypeName ] -ConnectionString -ConnectionProviderName [] Description Updates the database to the current model by applying pending migrations. Parameters -SourceMigration Only valid with -Script. Specifies the name of a particular migration to use as the update’s starting point. If ommitted, the last applied migration in the database will be used. -TargetMigration Specifies the name of a particular migration to update the database to. If ommitted, the current model will be used. -Script Generate a SQL script rather than executing the pending changes directly. -Force Specifies that data loss is acceptable during automatic migration of the database. -ProjectName Specifies the project that contains the migration configuration type to be used. If ommitted, the default project selected in package manager console is used. -StartUpProjectName Specifies the configuration file to use for named connection strings. If omitted, the specified project’s configuration file is used. -ConfigurationTypeName Specifies the migrations configuration to use. If omitted, migrations will attempt to locate a single migrations configuration type in the target project. -ConnectionStringName Specifies the name of a connection string to use from the application’s configuration file. -ConnectionString Specifies the the connection string to use. If omitted, the context’s default connection will be used. -ConnectionProviderName Specifies the provider invariant name of the connection string. This cmdlet supports the common parameters: Verbose, Debug, ErrorAction, ErrorVariable, WarningAction, WarningVariable, OutBuffer and OutVariable. For more information, type: get-help about_commonparameters. Remarks To see the examples, type: get-help Update-Database -examples. For more information, type: get-help Update-Database -detailed. For technical information, type: get-help Update-Database -full. Additional Information The command always runs any pending code-based migrations first. If the database is still incompatible with the model the additional changes required are applied as an separate automatic migration step if automatic migrations are enabled. If automatic migrations are disabled an error message is shown. Get-Migrations Displays the migrations that have been applied to the target database. Syntax Get-Migrations [-ProjectName ] [-StartUpProjectName ] [-ConfigurationTypeName ] [-ConnectionStringName ] [] Get-Migrations [-ProjectName ] [-StartUpProjectName ] [-ConfigurationTypeName ] -ConnectionString -ConnectionProviderName [] Description Displays the migrations that have been applied to the target database. Parameters -ProjectName Specifies the project that contains the migration configuration type to be used. If ommitted, the default project selected in package manager console is used. -StartUpProjectName Specifies the configuration file to use for named connection strings. If omitted, the specified project’s configuration file is used. -ConfigurationTypeName Specifies the migrations configuration to use. If omitted, migrations will attempt to locate a single migrations configuration type in the target project. -ConnectionStringName Specifies the name of a connection string to use from the application’s configuration file. -ConnectionString Specifies the the connection string to use. If omitted, the context’s default connection will be used. -ConnectionProviderName Specifies the provider invariant name of the connection string. This cmdlet supports the common parameters: Verbose, Debug, ErrorAction, ErrorVariable, WarningAction, WarningVariable, OutBuffer and OutVariable. For more information, type: get-help about_commonparameters. Remarks To see the examples, type: get-help Get-Migrations -examples. For more information, type: get-help Get-Migrations -detailed. For technical information, type: get-help Get-Migrations -full. Additional Information The powershell commands are complex powershell functions, located in the tools\EntityFramework.psm1 file of the Entity Framework installation. The powershell code is mostly a wrapper around the System.Data.Entity.Migrations.MigrationsCommands found in the tools\EntityFramework\EntityFramework.PowerShell.dll file. First a MigrationsCommands object is instantiated with all configuration parameters. Then there is a public method on the MigrationsCommands object for each of the available commands.
August 20, 2012
by Anders Abel
· 31,364 Views · 1 Like
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How to Migrate Drupal to Azure Web Sites
DrupalCon Munich is next week, and I am lucky enough to be going. As part of preparing for the conference, I thought it would be worthwhile to see just how easy (or difficult) it would be to migrate an existing Drupal site to Windows Azure Web Sites. So, in this post, I’ll do just that. Fortunately, because Windows Azure Web Sites supports both PHP and MySQL, the migration process is relatively straightforward. And, because Drupal and PHP run on any platform, the process I’ll describe should work for moving Drupal to Windows Azure Web Sites regardless of what platform you are moving from. Of course, Drupal installations can vary widely, so YMMV. I tested the instructions below on relatively small (and simple) Drupal installation running on CentOS 5. (Unfortunately, I won’t be using Drush since it isn’t supported on Windows Azure Websites.) If you are considering moving a large and complex Drupal application, may want to consider moving to Windows Azure Cloud Services (more information about that here: Migrating a Drupal Site from LAMP to Windows Azure). Before getting started, it’s worth noting that Windows Azure Websites lets you run up to 10 Web Sites for free in a multitenant environment. And, you can seamlessly upgrade to private, reserved VM instances as your traffic grows. To sign up, try the Windows Azure 90-day free trial. 1. Create a Windows Azure Web Site and MySQL database There is a step-by-step tutorial on http://www.windowsazure.com that walks you through creating a new website and a MySQL database, so I’ll refer you there to get started: Create a PHP-MySQL Windows Azure web site and deploy using Git. If you intend to use Git to publish your Drupal site, then go ahead and follow the instructions for setting up a Git repository. Make sure to follow the instructions in the Get remote MySQL connection information section as you will need that information later. You can ignore the remainder of the tutorial for the purposes of deploying your Drupal site, but if you are new to Windows Azure Web Sites (and to Git), you might find the additional reading informative. Ok, now you have a new website with a MySQL database, your have your MySQL database connection information, and you have (optionally) created a remote Git repository and made note of the Git deployment instructions. Now you are ready to copy your database to MySQL in Windows Azure Web Sites. 2. Copy database to MySQL in Windows Azure Web Sites I’m sure there is more than one way to copy your Drupal database, but I found the mysqldump tool to be effective and easy to use. To copy from a local machine to Windows Azure Web Sites, here’s the command I used: mysqldump -u local_username --password=local_password drupal | mysql -h remote_host -u remote_username --password=remote_password remote_db_name You will, of course, have to provide the username and password for your existing Drupal database, and you will have to provide the hostname, username, password, and database name for the MySQL database you created in step 1. This information is available in the connection string information that you should have noted in step 1. i.e. You should have a connection string that looks something like this: Database=remote_db_name;Data Source=remote_host;User Id=remote_username;Password=remote_password Depending on the size of your database, the copying process could take several minutes. Now your Drupal database is live in Windows Azure Websites. Before you deploy your Drupal code, you need to modify it so it can connect to the new database. 3. Modify database connection info in settings.php Here, you will again need your new database connection information. Open the /drupal/sites/default/setting.php file in your favorite text editor, and replace the values of ‘database’, ‘username’, ‘password’, and ‘host’ in the $databases array with the correct values for your new database. When you are finished, you should have something similar to this: $databases = array ( 'default' => array ( 'default' => array ( 'database' => 'remote_db_name', 'username' => 'remote_username', 'password' => 'remote_password', 'host' => 'remote_host', 'port' => '', 'driver' => 'mysql', 'prefix' => '', ), ), ); Be sure to save the settings.phpfile, then you are ready to deploy. 4. Deploy Drupal code using Git or FTP The last step is to deploy your code to Windows Azure Web Sites using Git or FTP. If you are using FTP, you can get the FTP hostname and username from you website’s dashboard. Then, use your favorite FTP client to upload your Drupal files to the /site/wwwroot folder of the remote site. If you are using Git, you need to set up a Git repository in Windows Azure Web Sites (steps for this are in the tutorial mentioned earlier). And, you will need Git installed on your local machine. Then, just follow the instructions provided after you created the repository: One note about using Git here: depending on your Git settings, your .gitignore file (a hidden file and a sibling to the .git folder created in your local root directory after you executed git commit), some files in your Drupal application may be ignored. In my case, all the files in the sites directory were ignored. If this happens, you will want to edit the .gitignore file so that these files aren’t ignored and redeploy. After you have deployed Drupal to Windows Azure Web Sites, you can continue to deploy updates via Git or FTP. Related information If you are looking for more information about Windows Azure Web Sites, these posts might be helpful: Windows Azure Websites- A PHP Perspective Windows Azure Websites, Web Roles, and VMs- When to use which- Configuring PHP in Windows Azure Websites with .user.ini Files One last thing you might consider, depending on your site, is using the Windows Azure Integration Module to store and serve your site’s media files.
August 19, 2012
by Brian Swan
· 10,231 Views
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How To Do Rollback Well
I still see a lot of fear out there in the development and operations communities with regards to being able to rollback failed software deploys. People talk about the difficulty of rolling back, the need to always be rolling forward in the case of error, and the difficulty in testing rollback procedures. Having written software and been responsible for deploying that software on very high availability environments, this isn’t however a world I’ve experienced in the slightest. In my experience: It’s been easier to rollback to a known state than roll forward; It’s been riskier to roll forward if a deploy is going south than it was to roll backwards; It’s much easier to test and gain confidence in a rollback than it is in the roll forward. I think a lot of the mis-conceptions people have come from the fact that the average development simply does not give rollback enough importance and focus in their development and release management process. This is a shame as rolling back is potentially your best friend with regards to improving robustness of systems and keeping customers happy. With a good rollback you can simply hit the red button at the first sign of trouble and have the system back up and running whilst you look into the situation. It may be that you’ve overreacted in pulling the release, but that’s generally better than breaking something. With that said, here are a few tips that I’ve found to work well: How To Do Rollback Well The most important step is to implement an architecture that supports the need to rollback. For instance, componentised, service based architectures lend themselves well to this. Persistent message queues and asynchronous services allow you to bring components down for rollback without impacting the main user base. Work towards something like the Blue-Green release pattern such that your application can stay available whilst you are working on one half of the system. Test roll backs as thoroughly as your roll outs via the QA process. Throughout development and testing, attempt to get as much, or even more, confidence in your rollback as you have in your release. Foster a mindset that change is good, but the route back to the working system is much more important. People generally prefer working software over new features. Design the rollbacks and roll forwards to both work idempotently. Ensure you can roll back a bad deploy and then roll it forward again when the time is right. Neither step should be destructive as we should be accepting that rollback has a high degree of probability. Have your QA temas explicitly test roll out, roll back, roll out to further gain confidence and experience in the process. Any observations, problems etc should be fed back and the change should not be signed off till the rollback is a high quality one. Document the roll back procedures. It’s likely there will be a degree of stress involved if we need to roll back the production system, so take the time before the release to write up how to run the rollback process, what to check, and what to do in potential failure situations. e.g. If the database deploy fails, run script x.sql and check conditions a, b, c. If condition b has occured, execute y.sql. 10 minutes anticipation of failure modes before the change can save a lot of time during a crisis. Take small gradual steps in your releases. Release intermediate steps behind feature toggles so that we can slowly but surely gain confidence in the feature that we are releasing whilst having the minimal possible rollbacks. Try to upgrade components individually rather than in parallel. Have documented steps in place to assert that the rollback process has put the system back into it’s original good state – something simple like checking the net file size, running a diff, or checking the number of database rows. You’ll then want to back this up with as many automated and manual sanity tests as possible to ensure the rollback was correct. You’ll notice that none of the above come for free. Each of them take time and effort, but in my experience this has always been worth the time and effort with regards to moving the applications I’m responsible for slowly but surely and with confidence.
August 15, 2012
by Ben Wootton
· 22,307 Views · 1 Like
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JaCoCo Jenkins Plugin
In my post about JaCoCo and MavenI wrote about the problems of using the JaCoCo Maven plugin in multimodule Maven projects because of having one report for each module separately instead of one report for all modules, and how it can be fixed using JaCoCo Ant Task. In this post we are going to see how to use the JaCoCo Jenkins plugin to achieve the same goal of Ant Tasks and have overall code coverage statistics for all modules. The first step is installing the JaCoCo Jenkins plugin. Go to Jenkins -> Manage Jenkins -> Plugin Manager -> Available and find JaCoCo Plugin The next step, if it is not done already, is configuring your JaCoCo Maven plugin into parent pom: org.jacoco jacoco-maven-plugin ${jacoco.version} prepare-agent report prepare-package report And finally a post-action must be configured to the job responsible for packaging the application. Note that in previous pom file reports are generated just before the package goal is executed. Go to Configure -> Post-build Actions -> Add post-build action -> Record JaCoCo coverage report. Then we have to set folders or files containing JaCoCoXML reports, which are using the previous pom to **/target/site/jacoco/jacoco*.xml, and also set when we consider that a build is healthy in terms of coverage. Then we can save the job configuration and run the build project. After the project is build, a new report will appear just under the test result trend graph, called code coverage trend, where we can see the code coverage of all project modules. From the left menu, you can enter into Coverage Report and see code coverage of each module separately. Furthermore, visiting the Jenkins main page will give you a nice quick overview of a job when you mouse over the weather icon as shown: Keep in mind that this approach for merging code coverage files will only work if you are using Jenkins as a CI system. Ant Task is a more generic solution and can also be used with the JaCoCo Jenkins plugin. We Keep Learning, Alex.
August 14, 2012
by Alex Soto
· 58,525 Views · 4 Likes
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How to do a Production Hotfix
Situation It’s Thursday/Friday evening, the daily version / master branch was deemed too risky to install, and you decide to wait for Sunday/Monday with the deploy to production. There’s a new critical bug found in production. We do not want to install the bug on top of all the other changes, because of the risk factor. What do we do? Develop the fix on top of the production branch, in our local machine, git push, and deploy the fix, without all the other changes. How can I do this? My example uses a Play Framework service, but that’s immaterial. gitk –all – review the situation Suppose the latest version deployed in prod is 1.2.3, and master has some commits after that. You checkout this version: git checkout 1.2.3 Create a new branch for this hotfix. git checkout -b 1.2.3_hotfix1 Fix the bug locally, and commit. Test it locally. git push On the production machine: git fetch (not pull!) sudo service play stop git checkout 1.2.3_hotfix1 sudo service play start Test on production Merge the fix back to master: git checkout master git merge 1.2.3_hotfix1 git push Clean up the local branch: git branch -d 1.2.3_hotfix1 (Note: the branch will still be saved on origin, you’re not losing any information by deleting it locally)
August 14, 2012
by Ron Gross
· 12,076 Views
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Spring Integration with Gateways
This is the second article of the series on Spring Integration. This article builds on top of the first article where we introduced Spring Integration. Context setting In the first article, we created a simple java application where A message was sent over a channel, It was intercepted by a service i.e. POJO and modified. It was then sent over a different channel The modified message was read from the channel and displayed. However, in doing this - keeping in mind that we were merely introducing the concepts there - we wrote some Spring specific code in our application i.e. the test classes. In this article we will take care of that and make our application code as insulated from Spring Integration api as possible. This is done by, what Spring Integration calls gateways. Gateways exist for the sole purpose of abstracting messaging related "plumbing" code away from "business" code. The business logic might really not care whether a functionality is being achieved be sending a message over a channel or by making a SOAP call. This abstraction - though logical and desirable - have not been very practical, till now. It is probably worth having a quick look at the Spring Integration Reference Manual at this point. However, if you are just getting started with Spring Integration, you are perhaps better off following this article for the moment. I would recommend you get your hands dirty before returning to reference manual, which is very good but also very exhaustive and hence could be overwhelming for a beginner. The gateway could be a POJO with annotations (which is convenient but in my mind beats the whole purpose) or with XML configurations (can very quickly turn into a nightmare in any decent sized application if unchecked). At the end of the day it is really your choice but I like to go the XML route. The configuration options for both styles are detailed out in this section of the reference implementation. Spring Integration with Gateways So, let's create another test with gateway throw in for our HelloWorld service (refer to the first article of this series for more context). Let's start with the Spring configuration for the test. File: src/test/resources/org/academy/integration/HelloWorld1Test-context.xml In this case, all that is different is that we have added a gateway. This is an interface called org.academy.integration.Greetings. It interacts with both "inputChannel" and "outputChannel", to send and read messages respectively. Let's write the interface. File: /src/main/java/org/academy/integration/Greetings.java package org.academy.integration; public interface Greetings { public void send(String message); public String receive(); } And then we add the implementation of this interface. Wait. There is no implementation. And we do not need any implementation. Spring uses something called GatewayProxyFactoryBean to inject some basic code to this gateway which allows it to read the simple string based message, without us needing to do anything at all. That's right. Nothing at all. Note - You will need to add more code for most of your production scenarios - assuming you are not using Spring Integration framework to just push around strings. So, don't get used to free lunches. But, while it is here, let's dig in. Now, lets write a new test class using the gateway (and not interact with the channels and messages at all). File: /src/test/java/org/academy/integration/HelloWorld1Test.java package org.academy.integration; import static org.junit.Assert.*; import org.junit.Test; import org.junit.runner.RunWith; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.test.context.ContextConfiguration; import org.springframework.test.context.junit4.SpringJUnit4ClassRunner; @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration public class HelloWorld1Test { private final static Logger logger = LoggerFactory .getLogger(HelloWorld1Test.class); @Autowired Greetings greetings; @Test public void test() { greetings.send("World"); assertEquals(greetings.receive(), "Hello World"); logger.debug("Spring Integration with gateways."); } } Our test class is much cleaner now. It does not know about channels, or messages or anything related to Spring Integration at all. It only knows about a greetings instance - to which it gave some data by .send() method - and got modified data back by .receive() method. Hence, the business logic is oblivious of the plumbing logic, making for a much cleaner code. Now, simply type "mvn -e clean install" (or use m2e plugin) and you should be able to run the unit test and confirm that given string "World" the HelloWorld service indeed returns "Hello World" over the entire arrangement of channels and messages. Again, something optional but I highly recommend, is to run "mvn -e clean install site". This - assuming you have correctly configured some code coverage tool (cobertura in my case) will give you a nice HTML report showing the code coverage. In this case it would be 100%. I have blogged a series on code quality which deals this subject in more detail, but to cut long story short, it is very important for me to ensure that whatever coding practice / framework I use and recommend use, complies to some basic code quality standards. Being able to unit test and measure that is one such fundamental check that I do. Needless to say, Spring in general (including Spring integration) passes that check with flying colours. Conclusion That's it for this article. Happy coding.
August 13, 2012
by Partha Bhattacharjee
· 60,058 Views
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Build Flow Jenkins Plugin
With the advent of Continuous Integration and Continuous Delivery, our builds are split into different steps creating the deployment pipeline. Some of these steps can be compiled and run fast tests, run slow tests, run automated acceptance tests, or releasing the application, to cite a few. Most of us are using Jenkins/Hudson to implement Continuous Integration/Delivery, and we manage job orchestration combining some Jenkins plugins like build pipeline, parameterized-build, join or downstream-ext. We have to configure all of them which implies polluting the job configuration through multiple jobs, which , makes the system configuration very complex to maintain. Build Flow enables us to define an upper level flow item to manage job orchestration and link up rules, using a dedicated DSL. Let's see a very simple example: First step is installing the plugin. Go to Jenkins -> Manage Jenkins -> Plugin Manager -> Available and find for CloudBees Build Flowplugin. Then you can go to Jenkins -> New Job and you will see a new kind of job called Build Flow. In this example we are going to name it build-all-yy. And now you only have to program using flow DSL how this job should orchestrate the other jobs. In "Define build flow using flow DSL" input text you can specify the sequence of commands to execute. In current example I have already created two jobs, one executing clean compile goal (yy-compile job name) and the other one executing javadoc goal (yy-javadoc job name). I know that this deployment pipeline is not real in a true environment but for now it is enough. Then we want javadoc job running after project is compiled. To configure this we don't have to create any upstream or downstream actions, simply add next lines at DSL text area: build("yy-compile"); build("yy-javadoc"); Save and execute build-all-yy job and both projects will be built in a sequential way. Now suppose that we add a third job called yy-sonar which runs sonar goal that generates code quality sonar report. In this case it seems obvious that after project is compiled, generation of javadocs and code quality jobs can be run in parallel. So script is changed to: build("yy-compile") parallel ( {build("yy-javadoc")}, {build("yy-sonar")} ) This plugin also supports more operations like retry (similar behaviour of retry-failed-job plugin) or guard-rescue, that it works mostly like a try+finally block. Also you can create parameterized builds, accessing to build execution or printing to Jenkins console. Next example will print build number of yy-compile job execution: b = build("yy-compile") out.println b.build.number And finally you can also have a quick graphical overview of the execution in Status section. It is true that could be improved more, but for now it is acceptable, and can be used without any problem. Build Flow plugin is in its early stages, in fact it is only at version 0.4. But will be a plugin to be considered in future, and I think it is good to know that it exists. Moreover is being developed by CloudBees folks so it is a guarantee of being fully supported by Jenkins. We Keep Learning. Alex. Warning: In order to run parallel tasks with the plugin Anonymous users must have Read Job access (Jenkins -> Manage Jenkins -> Configure System). There is an issue already inserted into Jira to fix this problem.
August 2, 2012
by Alex Soto
· 37,675 Views · 1 Like
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