DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

The Latest Software Design and Architecture Topics

article thumbnail
How To Create A Theme Options Page For WordPress
If you have ever used a WordPress premium theme then you would of seen the custom theme options page that is available. The theme options page that is found under the appearance menu which allows the admin of the WordPress site to change some of the settings on the theme. Most premium themes will come with options to change the colors of fonts, backgrounds, change images or font types...anything that allows you to style the WordPress theme. Some of the most common fields to change are: Theme Options - To edit the theme logo, change the stylesheet, upload a new favicon, Add Google analytics code, enter your feedburner URL and add custom CSS. Styling Options - Change the background colour or change the background image. Fonts - Change the font on all your header tags or the main content text. Social - Providing you theme with your social media profiles will make it easier to link to them in parts of your theme or display your latest tweets. Option pages can also be used on plugins to change settings and to customize the plugin. Examples Of Theme Options Pages Here is what some of the theme options page from premium themes look like. How To Build A Theme Option Page When creating an option page there are a few things you need to setup. Add Menu - If you want to display the menu under the appearance menu or if you want to give the options page it's own menu. Add Sections - These are sections of settings you are adding to the options page. Register Settings - Settings are the different fields you are adding to the options page, they need to be registered with the settings API. Display Settings - The settings API will be used to call a function to display the setting. Validate Setting - When the user saves the settings field the input will need to be validated before stored in the options table. Feedback Messages - When the settings are saved you need to be able to feedback to the user if the settings were saved successfully or if there was an error during validation. To help us perform all these tasks there is a WordPress API called the Settings API. This API allows admin pages to handle setting forms semi-automatically. With the API you can define pages for the settings, sections for the settings and fields for the settings. This works by registering setting fields to be displayed within sections and page will display these sections. WordPress uses the Settings API by default on existing admin pages, this means that by using the Settings API you can add to existing pages by registering new settings. All validation must be performed by the developer of the settings pages but the Settings API will control the creation of the form and storing the values in the form in the options table. Add Menu To WordPress Admin When adding a menu to the WordPress admin screen you have loads of flexibility you have the option of adding brand new menu items or adding the menu as a sub menu. To add a top level menu just use the following function add_menu_page(). $page_title - The title used on the settings page. $menu_title - The title used on the menu. $capability - Only displays the menu if the user matches this capability. $menu_slug - The unique name of the menu slug. $function - This is the callback function to run to display the page. $icon_url - Display a icon just for the menu. $position - This allows you to choose when the menu item appears in the list. If you prefer to have the menu under the appearance parent menu you can use the following code snippet. Or you can use the function add_theme_page() which will add a sub-menu under the appearance menu. add_theme_page( $page_title, $menu_title, $capability, $menu_slug, $function); Registering The Settings To start off we need to register the settings group we are going to store the settings page values. This will use the Settings API to define the group of settings, we will then add the settings to a group. When you store the settings in this group they are stored in the wp_options database table so you can get these values out at a later date. The wp_options table is a key value pairing stored in the database. This is what you should use when storing long term data on your WordPress site. If you are storing a lot of data it's best practice to turn the data into an array and store it under one key, instead of storing all the values over multiple keys. This means that if you have a settings page to change the site logo, background color, font, font size etc, you won't have an option for each of these but you will group them into an option group. The reason you do this is to increase on database efficiency by not adding too many rows to the options database. To register settings on the Settings API you need to use the function register_setting(). The parameters you pass into this are: Option Group - The name of the group of settings you are going to store. This must match the group name used in the settings_field() function. Option name - The name of the option which will be saved, this is the key that is used in the options table. Sanitize Callback - This is the function that is used to validate the settings for this option group. Add Sections To Settings Once the settings are registered we can add section groups to the Settings API. This will allow us to organise the settings on the page, so that you can add styles to display these differently on the page. The benefit of adding sections on your Settings API is so that we can call the function do_settings_sections() as this will display all the settings under this one section. To create you own settings all you have to do is use the function add_settings_section(). The parameters you need to use on this function are: Id - String to use for the ID of the section. Title - The title to use on the section. Callback - This is the function that will display the settings on the page. Page - This is the page that is displaying the section, should match the menu slug of the page. Add Fields To The Sections The last important function we need to use to add settings to the page is the add_settings_field() function, this is used as part of the Settings API to define fields to a section. The function will need to know the page slug and the section Id before you can define the settings to use. All the settings which you setup here will be stored in the options table under the key used in the register_settings() function. To use this function you need to add the following parameters. ID - ID of the field Title - Title of the field. Callback - Function used to display the setting. This is very important as it is used to display the input field you want. Page - Page which is going to display the field should be the same as the menu slug on the section. Section - Section Id which the field will be added to. $args - Additional arguments which are passed to the callback function. Example Of Using The Settings API There is a lot of information to take in above to create this settings page so it can seem a bit complicated but once you get your head around the structure the Settings API uses it's actually quite easy to understand. The best way to understand how this all works is to show you with an example. Create A Theme Option Page With A Textbox Field In this example we will create a theme option page and add a textbox on the page to add additional text to the index.php. Just add the following to your functions.php file to create a theme options page. First we start off by creating the menu item under the appearance menu by using the add_theme_page() function on the admin_menu action. /** * Theme Option Page Example */ function pu_theme_menu() { add_theme_page( 'Theme Option', 'Theme Options', 'manage_options', 'pu_theme_options.php', 'pu_theme_page'); } add_action('admin_menu', 'pu_theme_menu'); As you can see above we set the callback function to the theme options page to be pu_theme_page so we need to create this function to display our page. Here we create a form to submit to the options.php so that we can save in the options table, we call settings_fields() to the get the settings in register_settings() and use the do_settings_sections() function to display our settings. /** * Callback function to the add_theme_page * Will display the theme options page */ function pu_theme_page() { ?> Custom Theme Options Created by Paulund. 'text', 'id' => 'pu_textbox', 'name' => 'pu_textbox', 'desc' => 'Example of textbox description', 'std' => '', 'label_for' => 'pu_textbox', 'class' => 'css_class' ); add_settings_field( 'example_textbox', 'Example Textbox', 'pu_display_setting', 'pu_theme_options.php', 'pu_text_section', $field_args ); } The callback function on creating sections can be used to add addition information that will appear above every section, on this example we are just leaving it blank. /** * Function to add extra text to display on each section */ function pu_display_section($section){ } The callback function on the add_settings_field() function is pu_display_setting, this is the function that is going to echo the display of any input's on the page. The parameter to this function is the $args value on the add_settings_field() we can use this to add things like id, name, default value etc. We want to get any existing values from the wp_option table to display any values which previously typed in by the user, do to this we get the values from the table by using the get_option() function. /** * Function to display the settings on the page * This is setup to be expandable by using a switch on the type variable. * In future you can add multiple types to be display from this function, * Such as checkboxes, select boxes, file upload boxes etc. */ function pu_display_setting($args) { extract( $args ); $option_name = 'pu_theme_options'; $options = get_option( $option_name ); switch ( $type ) { case 'text': $options[$id] = stripslashes($options[$id]); $options[$id] = esc_attr( $options[$id]); echo ""; echo ($desc != '') ? "$desc" : ""; break; } } Finally we can validate the values added to the form by creating the validation callback function pu_validate_settings. All this does at the moment is loop through the inputs passed to it and checks if it's a letter or a number. The return of this function is what will be added to the database. /** * Callback function to the register_settings function will pass through an input variable * You can then validate the values and the return variable will be the values stored in the database. */ function pu_validate_settings($input) { foreach($input as $k => $v) { $newinput[$k] = trim($v); // Check the input is a letter or a number if(!preg_match('/^[A-Z0-9 _]*$/i', $v)) { $newinput[$k] = ''; } } return $newinput; } If you copy all the snippets above into your functions.php file you will see this options form under the appearance menu. Using Theme Options Within Your Theme Now that you understand how to create a theme options page you need to be able to use this value in your theme so you can change the settings. All the settings are stored in the wp_options table with WordPress it's very easy to get these values out all you have to do is use the get_option() function. The option name is the name you put on the register_settings() function. So in our example above you will use this code. The $options variable will now store an array of the values from the theme options, which you can display the value of the textbox we put on the page by using this snippet. Conclusion That's the basics that you need to understand to use the Settings API, now you can take this information and create your own theme options page. Experiment with different input types you can add to the form, experiment with different validation methods you want to use. In future tutorials I will post how you can use some of the inbuilt WordPress third party applications to create a better user experience on your theme options panel. This will include things like color pickers, date pickers, jQuery UI features etc. As you can see we have created a settings option page in just over 100 lines of code, so it's not a hard thing to do but that are a few steps to it and the features can be expanded on. For this reason people have created theme option frameworks to allow you to easily create a theme option page with much higher level of complexity with the options. But like many other frameworks I always recommend you learn the basics before using a framework, this is why it's important to understand how the Settings API works before using or creating a settings page framework.
September 18, 2012
by Paul Underwood
· 23,814 Views
article thumbnail
The Difference Between 'Hadoop DFS' and 'Hadoop FS'
While exploring HDFS, I came across these two syntaxes for querying HDFS: > hadoop dfs > hadoop fs Initally I couldn't differentiate between the two, and kept wondering why we have two different syntaxes for a common purpose. I found a number of people online with the same question -- their thoughts are below: Per Chris's explanation: it seems like there's no difference between the two syntaxes. If we look at the definitions of the two commands (hadoop fs and hadoop dfs) in $HADOOP_HOME/bin/hadoop ... elif [ "$COMMAND" = "datanode" ] ; then CLASS='org.apache.hadoop.hdfs.server.datanode.DataNode' HADOOP_OPTS="$HADOOP_OPTS $HADOOP_DATANODE_OPTS" elif [ "$COMMAND" = "fs" ] ; then CLASS=org.apache.hadoop.fs.FsShell HADOOP_OPTS="$HADOOP_OPTS $HADOOP_CLIENT_OPTS" elif [ "$COMMAND" = "dfs" ] ; then CLASS=org.apache.hadoop.fs.FsShell HADOOP_OPTS="$HADOOP_OPTS $HADOOP_CLIENT_OPTS" elif [ "$COMMAND" = "dfsadmin" ] ; then CLASS=org.apache.hadoop.hdfs.tools.DFSAdmin HADOOP_OPTS="$HADOOP_OPTS $HADOOP_CLIENT_OPTS" ... That was his reasoning. Unconvinced, I kept looking for a more persuasive answer, and these excerpts made more sense to me: FS relates to a generic file system which can point to any file systems like local, HDFS etc. But dfs is very specific to HDFS. So when we use FS it can perform operation with from/to local or hadoop distributed file system to destination. But specifying DFS operation relates to HDFS. Below are two excerpts from the Hadoop documentation that describe these two as different shells. FS Shell The FileSystem (FS) shell is invoked by bin/hadoop fs. All the FS shell commands take path URIs as arguments. The URI format is scheme://autority/path. For HDFS the scheme is hdfs, and for the local filesystem the scheme is file. The scheme and authority are optional. If not specified, the default scheme specified in the configuration is used. An HDFS file or directory such as /parent/child can be specified as hdfs://namenodehost/parent/child or simply as /parent/child (given that your configuration is set to point to hdfs://namenodehost). Most of the commands in FS shell behave like corresponding Unix commands. DFShell The HDFS shell is invoked by bin/hadoop dfs. All the HDFS shell commands take path URIs as arguments. The URI format is scheme://autority/path. For HDFS the scheme is hdfs, and for the local filesystem the scheme is file. The scheme and authority are optional. If not specified, the default scheme specified in the configuration is used. An HDFS file or directory such as /parent/child can be specified as hdfs://namenode:namenodeport/parent/child or simply as /parent/child (given that your configuration is set to point to namenode:namenodeport). Most of the commands in HDFS shell behave like corresponding Unix commands. So, based on the above, we can conclude that it all depends on the scheme configuration. When using these two commands with absolute URI (i.e. scheme://a/b) the behavior shall be identical. Only it's the default configured scheme value for file and hdfs for fs and dfs respectively, which is the cause for difference in behavior.
September 14, 2012
by Abhishek Jain
· 45,560 Views
article thumbnail
Your First Hadoop MapReduce Job
Hadoop MapReduce is a YARN-based system for parallel processing of large data sets. In this article, learn to quickly start writing the simplest MapReduce job.
September 12, 2012
by Amresh Singh
· 19,733 Views
article thumbnail
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
· 15,591 Views
article thumbnail
Getting Started: Apache Camel Using Groovy
From their site, it says the Apache Camel is a versatile open-source integration framework based on known Enterprise Integration Patterns. It might seem like a vague definition, but I want to tell you that this is a very productive Java library that can solve many of typical IT problems! You can think of it as a very light weight ESB framework with "batteries" included. In every jobs I've been to so far, folks are writing their own solutions in one way or another to solve many common problems (or they would buy some very expensive enterprisy ESB servers that takes months and months to learn, config, and maintain). Things that we commonly solve are integration (glue) code of existing business services together, process data in a certain workflow manner, or move and transform data from one place to another etc. These are very typical need in many IT environments. The Apache Camel can be used in cases like these; not only that, but also in a very productive and effective way! In this article, I will show you how to get started with Apache Camel along with just few lines of Groovy script. You can certainly also start off with a full Java project to try out Camel, but I find Groovy will give you the shortest working example and learning curve. Getting started with Apache Camel using Groovy So let's begin. First let's see a hello world demo with Camel + Groovy. @Grab('org.apache.camel:camel-core:2.10.0') @Grab('org.slf4j:slf4j-simple:1.6.6') import org.apache.camel.* import org.apache.camel.impl.* import org.apache.camel.builder.* def camelContext = new DefaultCamelContext() camelContext.addRoutes(new RouteBuilder() { def void configure() { from("timer://jdkTimer?period=3000") .to("log://camelLogger?level=INFO") } }) camelContext.start() addShutdownHook{ camelContext.stop() } synchronized(this){ this.wait() } Save above into a file named helloCamel.groovy and then run it like this: $ groovy helloCamel.groovy 388 [main] INFO org.apache.camel.impl.DefaultCamelContext - Apache Camel 2.10.0 (CamelContext: camel-1) is starting 445 [main] INFO org.apache.camel.management.ManagementStrategyFactory - JMX enabled. 447 [main] INFO org.apache.camel.management.DefaultManagementLifecycleStrategy - StatisticsLevel at All so enabling load performance statistics 678 [main] INFO org.apache.camel.impl.converter.DefaultTypeConverter - Loaded 170 type converters 882 [main] INFO org.apache.camel.impl.DefaultCamelContext - Route: route1 started and consuming from: Endpoint[timer://jdkTimer?period=3000] 883 [main] INFO org.apache.camel.impl.DefaultCamelContext - Total 1 routes, of which 1 is started. 887 [main] INFO org.apache.camel.impl.DefaultCamelContext - Apache Camel 2.10.0 (CamelContext: camel-1) started in 0.496 seconds 898 [Camel (camel-1) thread #1 - timer://jdkTimer] INFO camelLogger - Exchange[ExchangePattern:InOnly, BodyType:null, Body:[Body is null]] 3884 [Camel (camel-1) thread #1 - timer://jdkTimer] INFO camelLogger - Exchange[ExchangePattern:InOnly, BodyType:null, Body:[Body is null]] 6884 [Camel (camel-1) thread #1 - timer://jdkTimer] INFO camelLogger - Exchange[ExchangePattern:InOnly, BodyType:null, Body:[Body is null]] ... The little script above is simple but it presented few key features of Camel Groovyness. The first and last section of the helloCamel.groovy script are just Groovy featuers. The @Grab annotation will automatically download the dependency jars you specify. We import Java packages to use its classes later. At the end we ensure to shutdown Camel before exiting JVM through the Java Shutdown Hook mechanism. The program will sit and wait until user press CTRL+C, just as a typical server process behavior. The middle section is where the Camel action is. You would always create a Camel context to begin (think of it as the server or manager for the process.) And then you would add a Camel route (think of it as a workflow or pipeflow) that you like to process data (Camel likes to call these data "messages"). The route consists of a "from" starting point (where data generated), and one or more "to" points (where data going to be processed). Camel calls these destination 'points' as 'Endpoints'. These endpoints can be expressed in simple URI string format such as "timer://jdkTimer?period=3000". Here we are generating timer message in every 3 secs into the pipeflow, and then process by a logger URI, which will simply print to console output. After Camel context started, it will start processing data through the workflow, as you can observe from the output example above. Now try pressing CTRL+C to end its process. Notice how the Camel will shutdown everything very gracefully. 7312 [Thread-2] INFO org.apache.camel.impl.DefaultCamelContext - Apache Camel 2.10.0 (CamelContext: camel-1) is shutting down 7312 [Thread-2] INFO org.apache.camel.impl.DefaultShutdownStrategy - Starting to graceful shutdown 1 routes (timeout 300 seconds) 7317 [Camel (camel-1) thread #2 - ShutdownTask] INFO org.apache.camel.impl.DefaultShutdownStrategy - Route: route1 shutdown complete, was consuming from: Endpoint[timer://jdkTimer?period=3000] 7317 [Thread-2] INFO org.apache.camel.impl.DefaultShutdownStrategy - Graceful shutdown of 1 routes completed in 0 seconds 7321 [Thread-2] INFO org.apache.camel.impl.converter.DefaultTypeConverter - TypeConverterRegistry utilization[attempts=2, hits=2, misses=0, failures=0] mappings[total=170, misses=0] 7322 [Thread-2] INFO org.apache.camel.impl.DefaultCamelContext - Apache Camel 2.10.0 (CamelContext: camel-1) is shutdown in 0.010 seconds. Uptime 7.053 seconds. So that's our first taste of Camel ride! However, we titled this section as "Hello World!" demo, and yet we haven't seen any. But you might have also noticed that above script are mostly boiler plate code that we setup. No user logic has been added yet. Not even the logging the message part! We simply configuring the route. Now let's modify the script little bit so we will actually add our user logic to process the timer message. @Grab('org.apache.camel:camel-core:2.10.0') @Grab('org.slf4j:slf4j-simple:1.6.6') import org.apache.camel.* import org.apache.camel.impl.* import org.apache.camel.builder.* def camelContext = new DefaultCamelContext() camelContext.addRoutes(new RouteBuilder() { def void configure() { from("timer://jdkTimer?period=3000") .to("log://camelLogger?level=INFO") .process(new Processor() { def void process(Exchange exchange) { println("Hello World!") } }) } }) camelContext.start() addShutdownHook{ camelContext.stop() } synchronized(this){ this.wait() } Notice how I can simply append the process code part right after the to("log...") line. I have added a "processor" code block to process the timer message. The logic is simple: we greet the world on each tick. Making Camel route more concise and practical Now, do I have you at Hello yet? If not, then I hope you will be patient and continue to follow along for few more practical features of Camel. First, if you were to put Camel in real use, I would recommend you setup your business logic separately from the workflow route definition. This is so that you can clearly express and see your entire pipeflow of route at a glance. To do this, you want to move the "processor", into a service bean. @Grab('org.apache.camel:camel-core:2.10.0') @Grab('org.slf4j:slf4j-simple:1.6.6') import org.apache.camel.* import org.apache.camel.impl.* import org.apache.camel.builder.* import org.apache.camel.util.jndi.* class SystemInfoService { def void run() { println("Hello World!") } } def jndiContext = new JndiContext(); jndiContext.bind("systemInfoPoller", new SystemInfoService()) def camelContext = new DefaultCamelContext(jndiContext) camelContext.addRoutes(new RouteBuilder() { def void configure() { from("timer://jdkTimer?period=3000") .to("log://camelLogger?level=INFO") .to("bean://systemInfoPoller?method=run") } }) camelContext.start() addShutdownHook{ camelContext.stop() } synchronized(this){ this.wait() } Now, see how compact this workflow route has become? The Camel's Java DSL such as "from().to().to()" for defining route are so clean and simple to use. You can even show this code snip to your Business Analysts, and they would likely be able to verify your business flow easily! Wouldn't that alone worth a million dollars? How about another demo: FilePoller Processing File polling processing is a very common and effective way to solve many business problems. If you work for commercial companies long enough, you might have written one before. A typical file poller would process incoming files from a directory and then process the content, and then move the file into a output directory. Let's make a Camel route to do just that. @Grab('org.apache.camel:camel-core:2.10.0') @Grab('org.slf4j:slf4j-simple:1.6.6') import org.apache.camel.* import org.apache.camel.impl.* import org.apache.camel.builder.* import org.apache.camel.util.jndi.* class UpperCaseTextService { def String transform(String text) { return text.toUpperCase() } } def jndiContext = new JndiContext(); jndiContext.bind("upperCaseTextService", new UpperCaseTextService()) def dataDir = "/${System.properties['user.home']}/test/file-poller-demo" def camelContext = new DefaultCamelContext(jndiContext) camelContext.addRoutes(new RouteBuilder() { def void configure() { from("file://${dataDir}/in") .to("log://camelLogger") .to("bean://upperCaseTextService?method=transform") .to("file://${dataDir}/out") } }) camelContext.start() addShutdownHook{ camelContext.stop() } synchronized(this){ this.wait() } Here you see I defined a route to poll a $HOME/test/file-poller-demo/in directory for text files. Once it's found it will log it to console, and then process by a service that transform the content text into upper case. After this, it will send the file into $HOME/test/file-poller-demo/out directory. My goodness, reading the Camel route above probably express what I wrote down just as effective. Do you see the benefits here? What's the "batteries" included part. If you've used Python programming before, you might have heard the pharase that they claim often: Python has "batteries" included. This means their interpreter comes with a rich of libaries for most of the common programming need. You can often write python program without have to download separated external libraries. I am making similar analogies here with Apache Camel. The Camel project comes with so many ready to use components that you can find just about any transport protocals that can carry data. These Camel "components" are ones that support different 'Endpoint URI' that we have seen in our demos above. We have simply shown you timer, log, bean, and file components, but there are over 120 more. You will find jms, http, ftp, cfx, or tcp just to name a few. The Camel project also has an option for you to define route in declarative xml format. The xml is just an extension of a Spring xml config with Camel's namespace handler added on top. Spring is optional in Camel, but you can use it together in a very powerful way.
September 10, 2012
by Zemian Deng
· 15,768 Views · 1 Like
article thumbnail
How to Deploy a war File Using GlassFish
Before trying this out make sure you have installed GlassFish in your machine. Installation is just easy as downloading the zip archive from here and unzipping it to a desired location. Creating a new domain Open up a terminal, change directory to the GlassFish installation directory and run following. bin/asadmin This will enable you to use asadmin tool. Now execute the following command to create a new domain. after running this command you will probably have to give admin password and master password. create-domain --adminport 5000 --profile developer --user admin domain2 Now open up another terminal and change directory to [glassfish-installation]/domains/ and you will see the newly created domain2 has appeared there. Open up a browser and go to http://localhost:5000/. This will bring you the GlassFish GUI admin console. This is one place you can deploy your war file. But in this post I'm not much focusing on it, instead I will show you how to do this using the command line. But GUI lovers, for any consolation I have put some screenshots which you can follow if you prefer the GUI way. In case you want to delete a domain use the following command. delete-domain domain2 Starting the domain To start domain2 run following command. start-domain domain2 Deploying a war file Use the following command to deploy your war file. deploy --port 5000 --host localhost /home/pavithra/workspace/NewDemoService/WebServicesJaxWs/NewDemoService.war After deploying the war file I can access the WSDL file I want to access using the URL http://localhost:8080/NewDemoService/NewDemoService?WSDL To change default 8080 (HTTP) port which specifies where the web application context roots are available for a Web browser to connect to, you can use the --instanceport parameter when creating the domain. See the following command. create-domain --adminport 5000 --profile developer --user admin --instanceport 9000 domain2 Undeploying a war file To undeploy NewDemoService.war file you need to use the following command. Note that here you don't have to use the full name but literal "NewDemoService". undeploy --port 5000 --host localhost NewDemoService Stopping a domain To stop the domain "domain2" use the following command. stop-domain domain2 After this if you try to deploy to this particular domain, it will complain. Auto Deploy To perform auto deploy, copy NewDemoService.war file in to [glassfish-installation-directory]/domains/domain2/autodeploy directory. If autodeploy succeeds, you will see NewDemoService.war_deployed has created. This will deploy your war file automatically.
September 10, 2012
by Pavithra Gunasekara
· 62,171 Views
article thumbnail
Java 7: HashMap vs ConcurrentHashMap
As you may have seen from my past performance related articles and HashMap case studies, Java thread safety problems can bring down your Java EE application and the Java EE container fairly easily. One of most common problems I have observed when troubleshooting Java EE performance problems is infinite looping triggered from the non-thread safe HashMap get() and put() operations. This problem is known since several years but recent production problems have forced me to revisit this issue one more time. This article will revisit this classic thread safety problem and demonstrate, using a simple Java program, the risk associated with a wrong usage of the plain old java.util.HashMap data structure involved in a concurrent threads context. This proof of concept exercise will attempt to achieve the following 3 goals: Revisit and compare the Java program performance level between the non-thread safe and thread safe Map data structure implementations (HashMap, Hashtable, synchronized HashMap, ConcurrentHashMap) Replicate and demonstrate the HashMap infinite looping problem using a simple Java program that everybody can compile, run and understand Review the usage of the above Map data structures in a real-life and modern Java EE container implementation such as JBoss AS7 For more detail on the ConcurrentHashMap implementation strategy, I highly recommend the great article from Brian Goetz on this subject. Tools and server specifications As a starting point, find below the different tools and software’s used for the exercise: Sun/Oracle JDK & JRE 1.7 64-bit Eclipse Java EE IDE Windows Process Explorer (CPU per Java Thread correlation) JVM Thread Dump (stuck thread analysis and CPU per Thread correlation) The following local computer was used for the problem replication process and performance measurements: Intel(R) Core(TM) i5-2520M CPU @ 2.50Ghz (2 CPU cores, 4 logical cores) 8 GB RAM Windows 7 64-bit * Results and performance of the Java program may vary depending of your workstation or server specifications. Java program In order to help us achieve the above goals, a simple Java program was created as per below: The main Java program is HashMapInfiniteLoopSimulator.java A worker Thread class WorkerThread.java was also created The program is performing the following: Initialize different static Map data structures with initial size of 2 Assign the chosen Map to the worker threads (you can chose between 4 Map implementations) Create a certain number of worker threads (as per the header configuration). 3 worker threads were created for this proof of concept NB_THREADS = 3; Each of these worker threads has the same task: lookup and insert a new element in the assigned Map data structure using a random Integer element between 1 – 1 000 000. Each worker thread perform this task for a total of 500K iterations The overall program performs 50 iterations in order to allow enough ramp up time for the HotSpot JVM The concurrent threads context is achieved using the JDK ExecutorService As you can see, the Java program task is fairly simple but complex enough to generate the following critical criteria’s: Generate concurrency against a shared / static Map data structure Use a mix of get() and put() operations in order to attempt to trigger internal locks and / or internal corruption (for the non-thread safe implementation) Use a small Map initial size of 2, forcing the internal HashMap to trigger an internal rehash/resize Finally, the following parameters can be modified at your convenience: ## Number of worker threads private static final int NB_THREADS = 3; ## Number of Java program iterations private static final int NB_TEST_ITERATIONS = 50; ## Map data structure assignment. You can choose between 4 structures // Plain old HashMap (since JDK 1.2) nonThreadSafeMap = new HashMap(2); // Plain old Hashtable (since JDK 1.0) threadSafeMap1 = new Hashtable(2); // Fully synchronized HashMap threadSafeMap2 = new HashMap(2); threadSafeMap2 = Collections.synchronizedMap(threadSafeMap2); // ConcurrentHashMap (since JDK 1.5) threadSafeMap3 = new ConcurrentHashMap(2); /*** Assign map at your convenience ****/ assignedMapForTest = threadSafeMap3; Now find below the source code of our sample program. #### HashMapInfiniteLoopSimulator.java package org.ph.javaee.training4; import java.util.Collections; import java.util.Map; import java.util.HashMap; import java.util.Hashtable; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; /** * HashMapInfiniteLoopSimulator * @author Pierre-Hugues Charbonneau * */ public class HashMapInfiniteLoopSimulator { private static final int NB_THREADS = 3; private static final int NB_TEST_ITERATIONS = 50; private static Map assignedMapForTest = null; private static Map nonThreadSafeMap = null; private static Map threadSafeMap1 = null; private static Map threadSafeMap2 = null; private static Map threadSafeMap3 = null; /** * Main program * @param args */ public static void main(String[] args) { System.out.println("Infinite Looping HashMap Simulator"); System.out.println("Author: Pierre-Hugues Charbonneau"); System.out.println("http://javaeesupportpatterns.blogspot.com"); for (int i=0; i(2); // Plain old Hashtable (since JDK 1.0) threadSafeMap1 = new Hashtable(2); // Fully synchronized HashMap threadSafeMap2 = new HashMap(2); threadSafeMap2 = Collections.synchronizedMap(threadSafeMap2); // ConcurrentHashMap (since JDK 1.5) threadSafeMap3 = new ConcurrentHashMap(2); // ConcurrentHashMap /*** Assign map at your convenience ****/ assignedMapForTest = threadSafeMap3; long timeBefore = System.currentTimeMillis(); long timeAfter = 0; Float totalProcessingTime = null; ExecutorService executor = Executors.newFixedThreadPool(NB_THREADS); for (int j = 0; j < NB_THREADS; j++) { /** Assign the Map at your convenience **/ Runnable worker = new WorkerThread(assignedMapForTest); executor.execute(worker); } // This will make the executor accept no new threads // and finish all existing threads in the queue executor.shutdown(); // Wait until all threads are finish while (!executor.isTerminated()) { } timeAfter = System.currentTimeMillis(); totalProcessingTime = new Float( (float) (timeAfter - timeBefore) / (float) 1000); System.out.println("All threads completed in "+totalProcessingTime+" seconds"); } } } #### WorkerThread.java package org.ph.javaee.training4; import java.util.Map; /** * WorkerThread * * @author Pierre-Hugues Charbonneau * */ public class WorkerThread implements Runnable { private Map map = null; public WorkerThread(Map assignedMap) { this.map = assignedMap; } @Override public void run() { for (int i=0; i<500000; i++) { // Return 2 integers between 1-1000000 inclusive Integer newInteger1 = (int) Math.ceil(Math.random() * 1000000); Integer newInteger2 = (int) Math.ceil(Math.random() * 1000000); // 1. Attempt to retrieve a random Integer element Integer retrievedInteger = map.get(String.valueOf(newInteger1)); // 2. Attempt to insert a random Integer element map.put(String.valueOf(newInteger2), newInteger2); } } } Performance comparison between thread safe Map implementations The first goal is to compare the performance level of our program when using different thread safe Map implementations: Plain old Hashtable (since JDK 1.0) Fully synchronized HashMap (via Collections.synchronizedMap()) ConcurrentHashMap (since JDK 1.5) Find below the graphical results of the execution of the Java program for each iteration along with a sample of the program console output. # Output when using ConcurrentHashMap Infinite Looping HashMap Simulator Author: Pierre-Hugues Charbonneau http://javaeesupportpatterns.blogspot.com All threads completed in 0.984 seconds All threads completed in 0.908 seconds All threads completed in 0.706 seconds All threads completed in 1.068 seconds All threads completed in 0.621 seconds All threads completed in 0.594 seconds All threads completed in 0.569 seconds All threads completed in 0.599 seconds ……………… As you can see, the ConcurrentHashMap is the clear winner here, taking in average only half a second (after an initial ramp-up) for all 3 worker threads to concurrently read and insert data within a 500K looping statement against the assigned shared Map. Please note that no problem was found with the program execution e.g. no hang situation. The performance boost is definitely due to the improved ConcurrentHashMap performance such as the non-blocking get() operation. The 2 other Map implementations performance level was fairly similar with a small advantage for the synchronized HashMap. HashMap infinite looping problem replication The next objective is to replicate the HashMap infinite looping problem observed so often from Java EE production environments. In order to do that, you simply need to assign the non-thread safe HashMap implementation as per code snippet below: /*** Assign map at your convenience ****/ assignedMapForTest = nonThreadSafeMap; Running the program as is using the non-thread safe HashMap should lead to: No output other than the program header Significant CPU increase observed from the system At some point the Java program will hang and you will be forced to kill the Java process What happened? In order to understand this situation and confirm the problem, we will perform a CPU per Thread analysis from the Windows OS using Process Explorer and JVM Thread Dump. 1 - Run the program again then quickly capture the thread per CPU data from Process Explorer as per below. Under explore.exe you will need to right click over the javaw.exe and select properties. The threads tab will be displayed. We can see overall 4 threads using almost all the CPU of our system. 2 – Now you have to quickly capture a JVM Thread Dump using the JDK 1.7 jstack utility. For our example, we can see our 3 worker threads which seems busy/stuck performing get() and put() operations. ..\jdk1.7.0\bin>jstack 272 2012-08-29 14:07:26 Full thread dump Java HotSpot(TM) 64-Bit Server VM (21.0-b17 mixed mode): "pool-1-thread-3" prio=6 tid=0x0000000006a3c000 nid=0x18a0 runnable [0x0000000007ebe000] java.lang.Thread.State: RUNNABLE at java.util.HashMap.put(Unknown Source) at org.ph.javaee.training4.WorkerThread.run(WorkerThread.java:32) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) "pool-1-thread-2" prio=6 tid=0x0000000006a3b800 nid=0x6d4 runnable [0x000000000805f000] java.lang.Thread.State: RUNNABLE at java.util.HashMap.get(Unknown Source) at org.ph.javaee.training4.WorkerThread.run(WorkerThread.java:29) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) "pool-1-thread-1" prio=6 tid=0x0000000006a3a800 nid=0x2bc runnable [0x0000000007d9e000] java.lang.Thread.State: RUNNABLE at java.util.HashMap.put(Unknown Source) at org.ph.javaee.training4.WorkerThread.run(WorkerThread.java:32) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) .............. 3 – CPU per thread correlation It is now time to convert the Process Explorer thread ID DECIMAL format to HEXA format as per below. The HEXA value allows us to map and identify each thread as per below: ## TID: 1748 (nid=0X6D4) Thread name: pool-1-thread-2 CPU @25.71% Task: Worker thread executing a HashMap.get() operation at java.util.HashMap.get(Unknown Source) at org.ph.javaee.training4.WorkerThread.run(WorkerThread.java:29) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) ## TID: 700 (nid=0X2BC) Thread name: pool-1-thread-1 CPU @23.55% Task: Worker thread executing a HashMap.put() operation at java.util.HashMap.put(Unknown Source) at org.ph.javaee.training4.WorkerThread.run(WorkerThread.java:32) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) ## TID: 6304 (nid=0X18A0) Thread name: pool-1-thread-3 CPU @12.02% Task: Worker thread executing a HashMap.put() operation at java.util.HashMap.put(Unknown Source) at org.ph.javaee.training4.WorkerThread.run(WorkerThread.java:32) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) ## TID: 5944 (nid=0X1738) Thread name: pool-1-thread-1 CPU @20.88% Task: Main Java program execution "main" prio=6 tid=0x0000000001e2b000 nid=0x1738 runnable [0x00000000029df000] java.lang.Thread.State: RUNNABLE at org.ph.javaee.training4.HashMapInfiniteLoopSimulator.main(HashMapInfiniteLoopSimulator.java:75) As you can see, the above correlation and analysis is quite revealing. Our main Java program is in a hang state because our 3 worker threads are using lot of CPU and not going anywhere. They may appear "stuck" performing HashMap get() & put() but in fact they are all involved in an infinite loop condition. This is exactly what we wanted to replicate. HashMap infinite looping deep dive Now let’s push the analysis one step further to better understand this looping condition. For this purpose, we added tracing code within the JDK 1.7 HashMap Java class itself in order to understand what is happening. Similar logging was added for the put() operation and also a trace indicating that the internal & automatic rehash/resize got triggered. The tracing added in get() and put() operations allows us to determine if the for() loop is dealing with circular dependency which would explain the infinite looping condition. #### HashMap.java get() operation public V get(Object key) { if (key == null) return getForNullKey(); int hash = hash(key.hashCode()); /*** P-H add-on- iteration counter ***/ int iterations = 1; for (Entry e = table[indexFor(hash, table.length)]; e != null; e = e.next) { /*** Circular dependency check ***/ Entry currentEntry = e; Entry nextEntry = e.next; Entry nextNextEntry = e.next != null?e.next.next:null; K currentKey = currentEntry.key; K nextNextKey = nextNextEntry != null?(nextNextEntry.key != null?nextNextEntry.key:null):null; System.out.println("HashMap.get() #Iterations : "+iterations++); if (currentKey != null && nextNextKey != null ) { if (currentKey == nextNextKey || currentKey.equals(nextNextKey)) System.out.println(" ** Circular Dependency detected! ["+currentEntry+"]["+nextEntry+"]"+"]["+nextNextEntry+"]"); } /***** END ***/ Object k; if (e.hash == hash && ((k = e.key) == key || key.equals(k))) return e.value; } return null; } HashMap.get() #Iterations : 1 HashMap.put() #Iterations : 1 HashMap.put() #Iterations : 1 HashMap.put() #Iterations : 1 HashMap.put() #Iterations : 1 HashMap.resize() in progress... HashMap.put() #Iterations : 1 HashMap.put() #Iterations : 2 HashMap.resize() in progress... HashMap.resize() in progress... HashMap.put() #Iterations : 1 HashMap.put() #Iterations : 2 HashMap.put() #Iterations : 1 HashMap.get() #Iterations : 1 HashMap.get() #Iterations : 1 HashMap.put() #Iterations : 1 HashMap.get() #Iterations : 1 HashMap.get() #Iterations : 1 HashMap.put() #Iterations : 1 HashMap.get() #Iterations : 1 HashMap.put() #Iterations : 1 ** Circular Dependency detected! [362565=362565][333326=333326]][362565=362565] HashMap.put() #Iterations : 2 ** Circular Dependency detected! [333326=333326][362565=362565]][333326=333326] HashMap.put() #Iterations : 1 HashMap.put() #Iterations : 1 HashMap.get() #Iterations : 1 HashMap.put() #Iterations : 1 ............................. HashMap.put() #Iterations : 56823 Again, the added logging was quite revealing. We can see that following a few internal HashMap.resize() the internal structure became affected, creating circular dependency conditions and triggering this infinite looping condition (#iterations increasing and increasing...) with no exit condition. It is also showing that the resize() / rehash operation is the most at risk of internal corruption, especially when using the default HashMap size of 16. This means that the initial size of the HashMap appears to be a big factor in the risk & problem replication. Finally, it is interesting to note that we were able to successfully run the test case with the non-thread safe HashMap by assigning an initial size setting at 1000000, preventing any resize at all. Find below the merged graph results: The HashMap was our top performer but only when preventing an internal resize. Again, this is definitely not a solution to the thread safe risk but just a way to demonstrate that the resize operation is the most at risk given the entire manipulation of the HashMap performed at that time. The ConcurrentHashMap, by far, is our overall winner by providing both fast performance and thread safety against that test case. JBoss AS7 Map data structures usage We will now conclude this article by looking at the different Map implementations within a modern Java EE container implementation such as JBoss AS 7.1.2. You can obtain the latest source code from the github master branch. Find below the report: Total JBoss AS7.1.2 Java files (August 28, 2012 snapshot): 7302 Total Java classes using java.util.Hashtable: 72 Total Java classes using java.util.HashMap: 512 Total Java classes using synchronized HashMap: 18 Total Java classes using ConcurrentHashMap: 46 Hashtable references were found mainly within the test suite components and from naming and JNDI related implementations. This low usage is not a surprise here. References to the java.util.HashMap were found from 512 Java classes. Again not a surprise given how common this implementation is since the last several years. However, it is important to mention that a good ratio was found either from local variables (not shared across threads), synchronized HashMap or manual synchronization safeguard so “technically” thread safe and not exposed to the above infinite looping condition (pending/hidden bugs is still a reality given the complexity with Java concurrency programming…this case study involving Oracle Service Bus 11g is a perfect example). A low usage of synchronized HashMap was found with only 18 Java classes from packages such as JMS, EJB3, RMI and clustering. Finally, find below a breakdown of the ConcurrentHashMap usage which was our main interest here. As you will see below, this Map implementation is used by critical JBoss components layers such as the Web container, EJB3 implementation etc. ## JBoss Single Sign On Used to manage internal SSO ID's involving concurrent Thread access Total: 1 ## JBoss Java EE & Web Container Not surprising here since lot of internal Map data structures are used to manage the http sessions objects, deployment registry, clustering & replication, statistics etc. with heavy concurrent Thread access. Total: 11 ## JBoss JNDI & Security Layer Used by highly concurrent structures such as internal JNDI security management. Total: 4 ## JBoss domain & managed server management, rollout plans... Total: 7 ## JBoss EJB3 Used by data structures such as File Timer persistence store, application Exception, Entity Bean cache, serialization, passivation... Total: 8 ## JBoss kernel, Thread Pools & protocol management Used by high concurrent Threads Map data structures involved in handling and dispatching/processing incoming requests such as HTTP. Total: 3 ## JBoss connectors such as JDBC/XA DataSources... Total: 2 ## Weld (reference implementation of JSR-299: Contexts and Dependency Injection for the JavaTM EE platform) Used in the context of ClassLoader and concurrent static Map data structures involving concurrent Threads access. Total: 3 ## JBoss Test Suite Used in some integration testing test cases such as an internal Data Store, ClassLoader testing etc. Total: 3 Final words I hope this article has helped you revisit this classic problem and understand one of the common problems and risks associated with a wrong usage of the non-thread safe HashMap implementation. My main recommendation to you is to be careful when using an HashMap in a concurrent threads context. Unless you are a Java concurrency expert, I recommend that you use ConcurrentHashMap instead which offers a very good balance between performance and thread safety. As usual, extra due diligence is always recommended such as performing cycles of load & performance testing. This will allow you to detect thread safety and / or performance problems before you promote the solution to your client production environment. Please provide any comments and share your experience with ConcurrentHashMap or HashMap implementations and troubleshooting.
September 7, 2012
by Pierre - Hugues Charbonneau
· 155,138 Views · 5 Likes
article thumbnail
Removing Blank Lines in Eclipse
many times i end up using source files from somebody else. and such files might have a lot of empty lines in it i want to get removed. the question is: how to get rid of empty or blank lines in the eclipse editor view? or even better: how to merge multiple empty lines into one? shortcut: ctrl+d deleting a line is easy: i place the cursor on a line and press ctrl+d (for line d elete). that works as well for multiple line selection. using the ‘ mother of all shortcuts ‘ reveals even more shortcut options: delete commands this approach is fine, but manual. there must be something better. search-and-replace: regular expression and there is: to automatically remove empty lines, the search-and-replace functionality helps. for this i press ctrl-f (for find) and configure it like this: regular expression to remove empty lines the magic is using a regular expression checkbox. it uses the regular expression ^\s*\n to find one or multiple empty lines and replaces it with ‘nothing’. that way i can clean up a full file and get rid of all empty lines. if i do not remember the syntax of regular expressions any more, then there is help too: the dialog has content assist available: content assist so that way pressing ctrl+space helps a lot: content assist help merging empty lines with this in mind, it is easy to do something more advanced : to merge multiple empty lines into a single one. again, a regular expression does the magic work: merging multiple empty lines into a single one with this, the regular expression ^\s*\n finds one or multiple empty lines (as before), and it replaces it with a single empty line: \r now the sources need much less screen real estate . happy removing:-)
September 7, 2012
by Erich Styger
· 37,956 Views · 2 Likes
article thumbnail
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
· 39,374 Views
article thumbnail
Building A Simple API Proxy Server with PHP
these days i’m playing with backbone and using public api as a source. the web browser has one horrible feature: it don’t allow you to fetch any external resource to our host due to the cross-origin restriction. for example if we have a server at localhost we cannot perform one ajax request to another host different than localhost. nowadays there is a header to allow it: access-control-allow-origin . the problem is that the remote server must set up this header. for example i was playing with github’s api and github doesn’t have this header. if the server is my server, is pretty straightforward to put this header but obviously i’m not the sysadmin of github, so i cannot do it. what the solution? one possible solution is, for example, create a proxy server at localhost with php. with php we can use any remote api with curl (i wrote about it here and here for example). it’s not difficult, but i asked myself: can we create a dummy proxy server with php to handle any request to localhost and redirects to the real server, instead of create one proxy for each request?. let’s start. problably there is one open source solution (tell me if you know it) but i’m on holidays and i want to code a little bit (i now, it looks insane but that’s me ). the idea is: ... $proxy->register('github', 'https://api.github.com'); ... and when i type: http://localhost/github/users/gonzalo123 and create a proxy to : https://api.github.com/users/gonzalo123 the request method is also important. if we create a post request to localhost we want a post request to github too. this time we’re not going to reinvent the wheel, so we will use symfony componets so we will use composer to start our project: we create a conposer.json file with the dependencies: { "require": { "symfony/class-loader":"dev-master", "symfony/http-foundation":"dev-master" } } now php composer.phar install and we can start coding. the script will look like this: register('github', 'https://api.github.com'); $proxy->run(); foreach($proxy->getheaders() as $header) { header($header); } echo $proxy->getcontent(); as we can see we can register as many servers as we want. in this example we only register github. the application only has two classes: restproxy , who extracts the information from the request object and calls to the real server through curlwrapper . request = $request; $this->curl = $curl; } public function register($name, $url) { $this->map[$name] = $url; } public function run() { foreach ($this->map as $name => $mapurl) { return $this->dispatch($name, $mapurl); } } private function dispatch($name, $mapurl) { $url = $this->request->getpathinfo(); if (strpos($url, $name) == 1) { $url = $mapurl . str_replace("/{$name}", null, $url); $querystring = $this->request->getquerystring(); switch ($this->request->getmethod()) { case 'get': $this->content = $this->curl->doget($url, $querystring); break; case 'post': $this->content = $this->curl->dopost($url, $querystring); break; case 'delete': $this->content = $this->curl->dodelete($url, $querystring); break; case 'put': $this->content = $this->curl->doput($url, $querystring); break; } $this->headers = $this->curl->getheaders(); } } public function getheaders() { return $this->headers; } public function getcontent() { return $this->content; } } the restproxy receive two instances in the constructor via dependency injection (curlwrapper and request). this architecture helps a lot in the tests , because we can mock both instances. very helpfully when building restproxy. the restproxy is registerd within packaist so we can install it using composer installer: first install componser curl -s https://getcomposer.org/installer | php and create a new project: php composer.phar create-project gonzalo123/rest-proxy proxy if we are using php5.4 (if not, what are you waiting for?) we can run the build-in server cd proxy php -s localhost:8888 -t www/ now we only need to open a web browser and type: http://localhost:8888/github/users/gonzalo123 the library is very minimal (it’s enough for my experiment) and it does’t allow authorization. of course full code is available in github .
September 2, 2012
by Gonzalo Ayuso
· 20,504 Views
article thumbnail
Password Encryption -- Short Answer: Don't.
First, read this. Why passwords have never been weaker—and crackers have never been stronger. There are numerous important lessons in this article. One of the small lessons is that changing your password every sixty or ninety days is farcical. The rainbow table algorithms can crack a badly-done password in minutes. Every 60 days, the cracker has to spend a few minutes breaking your new password. Why bother changing it? It only annoys the haxorz; they'll be using your account within a few minutes. However. That practice is now so ingrained that it's difficult to dislodge from the heads of security consultants. The big lesson, however, is profound. Work Experience Recently, I got a request from a developer on how to encrypt a password. We have a Python back-end and the developer was asking which crypto package to download and how to install it. "Crypto?" I asked. "Why do we need crypto?" "To encrypt passwords," they replied. I spat coffee on my monitor. I felt like hitting Caps Lock in the chat window so I could respond like this: "NEVER ENCRYPT A PASSWORD, YOU DOLT." I didn't, but I felt like it. Much Confusion The conversation took hours. Chat can be slow that way. Also, I can be slow because I need to understand what's going on before I reply. I'm a slow thinker. But the developer also needed to try stuff and provide concrete code examples, which takes time. At the time, I knew that passwords must be hashed with salt. I hadn't read the Ars Technica article cited above, so I didn't know why computationally intensive hash algorithms are best for this. We had to discuss hash algorithms. We had to discuss algorithms for generating unique salt. We had to discuss random number generators and how to use an entropy source for a seed. We had to discuss http://www.ietf.org/rfc/rfc2617.txt in some depth, since the algorithms in section 3.2.2. show some best practices in creating hash summaries of usernames, passwords, and realms. All of this was, of course, side topics before we got to the heart of the matter. What's Been Going On After several hours, my "why" questions started revealing things. The specific user story, for example, was slow to surface. Why? Partly because I didn't demand it early enough. But also, many technology folks will conceive of a "solution" and pursue that technical concept no matter how difficult or bizarre. In some cases, the concept doesn't really solve the problem. I call this the "Rat Holes of Lost Time" phenomena: we chase some concept through numerous little rat-holes before we realize there's a lot of activity but no tangible progress. There's a perceptual narrowing that occurs when we focus on the technology. Often, we're not actually solving the problem. IT people leap past the problem into the solution as naturally as they breathe. It's a hard habit to break. It turned out that they were creating some additional RESTful web services. They knew that the RESTful requests needed proper authentication. But, they were vague on the details of how to secure the new RESTful services. So they were chasing down their concept: encrypt a password and provide this encrypted password with each request. They were half right, here. A secure "token" is required. But an encrypted password is a terrible token. Use The Framework, Luke What's most disturbing about this is the developer's blind spot. For some reason, the existence of other web services didn't enter into this developer's head. Why didn't they read the code for the services created on earlier sprints? We're using Django. We already have a RESTful web services framework with a complete (and high quality) security implementation. Nothing more is required. Use the RESTful authentication already part of Django. In most cases, HTTPS is used to encrypt at the socket layer. This means that Basic Authentication is all that's required. This is a huge simplification, since all the RESTful frameworks already offer this. The Django Rest Framework has a nice authentication module. When using Piston, it's easy to work with their Authentication handler. It's possible to make RESTful requests with Digest Authentication, if SSL is not being used. For example, Akoha handles this. It's easy to extend a framework to add Digest in addition to Basic authentication. For other customers, I created an authentication handler between Piston and ForgeRock OpenAM so that OpenAM tokens were used with each RESTful request. (This requires some care to create a solution that is testable.) Bottom Lines Don't encrypt passwords. Ever. Don't write your own hash and salt algorithm. Use a framework that offers this to you. Read the Ars Technica article before doing anything password-related.
August 28, 2012
by Steven Lott
· 21,973 Views
article thumbnail
Organize Imports in Eclipse
Today I learned a neat trick to organize imports in Eclipse. Of course, one can use Ctrl + Shift + O to remove the unused imports at file level. But what if you want to remove the unused imports for several files, may be at package level? Simple – in the Package Explorer window, right click on the package that you want to modify and then select source -> Organize Imports which will analyse all the files inside that package and then remove the unused imports. One more nifty trick is that you can automatically organize the imports when you save the file. To enable this, go to Windows -> Preferences -> Java -> Editor -> Save Actions and then enable Perform the selected action on save -> Organize imports. After this, whenever you save a java file, eclipse will remove the unused imports automatically.
August 28, 2012
by Veera Sundar
· 47,054 Views · 3 Likes
article thumbnail
Advanced Dependency Injection With Guice
The more I use dependency injection (DI) in my code, the more it alters the way I see both my design and implementation. Injection is so convenient and powerful that you end up wanting to make sure you use it as often as you can. And as it turns out, you can use it in many, many places. Let’s cover briefly the most obvious scenarios where DI, and more specifically, Guice, are a good fit: objects created either at class loading time or very early in your application. These two aspects are covered by either direct injection or by providers, which allow you to start building some of your object graph before you can inject more objects. I won’t go too much in details about these two use cases since they are explained in pretty much any Guice tutorial you can find on the net. Once the injector has created your graph of objects, you are pretty much back to normal and instantiating your “runtime objects” (the objects you create during the life time of your application) the normal way, most likely with “new” or factories. However, you will quickly start noticing that you need some runtime information to create these objects, other parts of them could be injected. Let’s take the following example: we have a GeoService interface that provides various geolocation functions, such as telling you if two addresses are close to each other: public interface GeoService { /** * @return true if the two addresses are within @param{miles} * miles of each other. */ boolean isNear(Address address1, Address address2, int miles); } Then you have a Person class which uses this service and also needs a name and an address to be instantiated: public class Person { // Fields omitted public Person(String name, Address address, GeoService gs) { this.name = name; this.address = address; this.geoService = gs; } public boolean livesNear(Person otherPerson) { return geoService.isNear(address, otherPerson.getAddress(), 2 /* miles */); } } Something odd should jump at you right away with this class: while name and address are part of the identity of a Person object, the presence of the GeoService instance in it feels wrong. The service is a singleton that is created on start up, so a perfect candidate to be injected, but how can I achieve the creation of a Person object when some of its information is supplied by Guice and the other part by myself? Guice gives you a very elegant and flexible way to implement this scenario with “assisted injection”. The first step is to define a factory for our objects that represents exactly how we want to create them: public interface PersonFactory { Person create(String name, Address address); } Since only name and address participate in the identity of our Person objects, these are the only parameters we need to construct our objects. The other parameters should be supplied by Guice so we modify our Person constructor to let Guice know: @Inject public Person(@Assisted String name, @Assisted Address address, GeoService geoService) { this.name = name; this.address = address; this.geoService = geoService; } In this code, I have added an @Inject annotation on the constructor and an @Assisted annotation on each parameter that I will be providing. Guice will take care of injecting the rest. Finally, we connect the factory to its objects when creating the module: Module module1 = new FactoryModuleBuilder() .build(PersonFactory.class); The important part here is to realize that we will never instantiate PersonFactory: Guice will. From now on, all we need to do whenever we want to instantiate a Person object is to ask Guice to hand us a factory: @Inject private PersonFactory personFactory; // ... Person p = personFactory.create("Bob", new Address("1 Ocean st")); If you want to find out more, take a look at the main documentation for assisted injection, which explains how to support overloaded constructors and also how to create different kinds of objects within the same factory. Wrapping up Let’s take a look at what we did. First, we started with a suspicious looking constructor: public Person(String name, Address address, GeoService s) { This constructor is suspicious because it accepts parameters that do not participate in the identity of the object (you won’t use the GeoService parameter when calculating the hash code of a Person object). Instead, we replaced this constructor with a factory that only accepts identity fields: public interface PersonFactory { Person create(String name, Address address); } and we let Guice’s assisted injection take care of creating a fully formed object for us. This observation leads us to the Identity Constructor rule: If a constructor accepts parameters that are not used to define the identity of the objects, consider injecting these parameters. Once you start looking at your objects with this rule in mind, you will be surprised to find out how many of them can benefit from assisted injection.
August 23, 2012
by Cedric Beust
· 36,727 Views · 2 Likes
article thumbnail
Spring Tool Suite (STS) and Groovy/Grails Tool Suite (GGTS) 3.0.0 releases
We are proud to announce that the newest major release of our Eclipse-based developer tooling is now available. This is a major release not only in terms of new features but because of other serious changes like project componentization, open-sourcing and the fact that for the first time we are making multiple distributions available, each tailored for a different kind of developer. Check out the release announcement on Martin Lippert's Blog. 100% Open Sourced – All STS features that were previously under a free commercial license, have been donated under the Eclipse Public License (EPL) at GitHub! Intelligent Repackaging - Repackaging the product itself makes identifying what tools you need, and getting started with them much easier. In the past, Groovy/Grails developers had to install several extensions manually into Eclipse to get started. Now there are two full eclipse distributions, one targeted at Spring developers, the other at Groovy/Grails developers – just download, install and go, no assembly required. Componentized projects: Componentizing allows installation and configuration flexibility – developers can install components individually into their existing, plain Eclipse Java EE installations if they wish, preserving their hard work of configuring their Eclipse IDEs just the way they like them. Downloads, more information and FAQ You can find the downloads as well as more information on the project websites for the toolsuites: Spring Tool Suite Groovy/Grails Tool Suite Installation Instructions FAQ Feedback and discussions If you have feedback or questions for us, please do not hesitate to contact us via our SpringSource Tool Suite forum. Bugs and feature requests are always welcome as tickets in our JIRA or, even better, as pull requests on GitHub.
August 22, 2012
by Pieter Humphrey
· 3,529 Views
article thumbnail
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
· 25,177 Views · 1 Like
article thumbnail
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
· 10,332 Views
article thumbnail
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
· 58,680 Views · 4 Likes
article thumbnail
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
· 60,199 Views
article thumbnail
Gradle Plugin for NetBeans IDE 7.2
I (https://github.com/kelemen) have been (and I still do) use Maven for development of Java code. My main reason for using Maven for development is its great NetBeans IDE support, so that I don't need to maintain IDE project files separately. As much as I like this support in the Maven world, I feel the limits of Maven every day I use it. Since I first saw the Gradle project, I knew that this is the least that I've always wanted from a build tool. So I started to look for NetBeans IDE support for Gradle. To my sadness there is only support for Eclipse and Idea. Aside from the fact that I prefer to use NetBeans IDE, I felt the IDE support to be limited for Gradle, (although the last time I read about Gradle support in IDEA, it seemed promising). Not long ago, I came across Geertjan's plugin and I felt that that writing such plugin is possible without enormous effort. So I downloaded his sources and started to analyze them and rewrite the plugin, so that it works with most Gradle scripts. There are many new features available in my version, such as these: slow tasks are done in a background thread source paths are retrieved from the model "test single" Screenshots: Project menus: Project dependencies: Project debug test: However, I removed subprojects and now each project needs to be opened manually, it is more efficient if you don't plan to edit all the subprojects; the drawback is that you cannot open projects without a build.gradle. The main problem with Gradle daemon performance is that on the first project load, Gradle downloads every single dependency. After that, I found the performance acceptable (especially after I implemented caching of already loaded projects). I have tested it with a relatively large project (>60 subprojects, lots of Java code): It took me about 2 minutes to load the project which seems ok to me for such an enormous project. Other than the project loading, the performance depends on NetBeans which is good. How to try it There is currently no compiled version of the plugin, so you have to compile it for yourself, if you want to try it. You can clone/download the sources from here: https://github.com/kelemen/netbeans-gradle-project After downloading the sources, open the project in NetBeans IDE. There generally two approaches you could consider: Generate the .nbm file (by choosing "Create NBM" in the project's popup) and install the plugin as you would do with any other third-party plugin. "Run" the project. This is the safest thing to do because this will start a new NetBeans instance with a brand new user directory (in the build folder). This way your own NetBeans installation will be unaffected. Help I would appreciate I'm pretty new to the NetBeans APIs (i.e., this is my first time using them), so someone might help me with the project dependencies (possibly Mavenize the plugin). And if it is possible, allow for the plugin to rely on a user specified installation of Gradle (there is some risk in it because Gradle does not seem to be very backward compatible). If you happen to know the Project API in NetBeans well, that could prove really helpful, so that I don't need to spend days figuring out, how things need to be done in the API. How to contact me You can contact me through my GitHub account: https://github.com/kelemen
August 12, 2012
by Attila Kelemen
· 11,384 Views
article thumbnail
Switching Source Files in the Eclipse Editor (CTRL+TAB)
ever wondering what could be a keyboard shortcut for something in eclipse? in my post on 10 best eclipse shortcuts the question came up how to traverse through all the open files in the editor. finding a shortcut is easy if you know the the mother of all eclipse shortcuts . i press ctrl+3 and enter a search term like ‘switch’, and it shows me all shortcuts with ‘switch’ in the description: ctrl plus 3 shows all shortcuts so with this i know that ctrl+tab is to switch to the next editor. let’s try it out: ctrl+tab popup window a small pop-up window shows all open sources of the editor view: pressing ctrl+tab repeatedly will iterate through the source files. that way i can quickly switch to another source file without leaving my fingers from the keyboard. happy switching
August 11, 2012
by Erich Styger
· 9,023 Views · 1 Like
  • Previous
  • ...
  • 748
  • 749
  • 750
  • 751
  • 752
  • 753
  • 754
  • 755
  • 756
  • 757
  • ...
  • Next
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook
×