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  • Windows Azure: Import/Export Hard Drives, VM ACLs, Web Sockets, Remote Debugging, Continuous Delivery, New Relic, Billing Alerts and More

    - by ScottGu
    Two weeks ago we released a giant set of improvements to Windows Azure, as well as a significant update of the Windows Azure SDK. This morning we released another massive set of enhancements to Windows Azure.  Today’s new capabilities include: Storage: Import/Export Hard Disk Drives to your Storage Accounts HDInsight: General Availability of our Hadoop Service in the cloud Virtual Machines: New VM Gallery, ACL support for VIPs Web Sites: WebSocket and Remote Debugging Support Notification Hubs: Segmented customer push notification support with tag expressions TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services Developer Analytics: New Relic support for Web Sites + Mobile Services Service Bus: Support for partitioned queues and topics Billing: New Billing Alert Service that sends emails notifications when your bill hits a threshold you define All of these improvements are now available to use immediately (note that some features are still in preview).  Below are more details about them. Storage: Import/Export Hard Disk Drives to Windows Azure I am excited to announce the preview of our new Windows Azure Import/Export Service! The Windows Azure Import/Export Service enables you to move large amounts of on-premises data into and out of your Windows Azure Storage accounts. It does this by enabling you to securely ship hard disk drives directly to our Windows Azure data centers. Once we receive the drives we’ll automatically transfer the data to or from your Windows Azure Storage account.  This enables you to import or export massive amounts of data more quickly and cost effectively (and not be constrained by available network bandwidth). Encrypted Transport Our Import/Export service provides built-in support for BitLocker disk encryption – which enables you to securely encrypt data on the hard drives before you send it, and not have to worry about it being compromised even if the disk is lost/stolen in transit (since the content on the transported hard drives is completely encrypted and you are the only one who has the key to it).  The drive preparation tool we are shipping today makes setting up bitlocker encryption on these hard drives easy. How to Import/Export your first Hard Drive of Data You can read our Getting Started Guide to learn more about how to begin using the import/export service.  You can create import and export jobs via the Windows Azure Management Portal as well as programmatically using our Server Management APIs. It is really easy to create a new import or export job using the Windows Azure Management Portal.  Simply navigate to a Windows Azure storage account, and then click the new Import/Export tab now available within it (note: if you don’t have this tab make sure to sign-up for the Import/Export preview): Then click the “Create Import Job” or “Create Export Job” commands at the bottom of it.  This will launch a wizard that easily walks you through the steps required: For more comprehensive information about Import/Export, refer to Windows Azure Storage team blog.  You can also send questions and comments to the [email protected] email address. We think you’ll find this new service makes it much easier to move data into and out of Windows Azure, and it will dramatically cut down the network bandwidth required when working on large data migration projects.  We hope you like it. HDInsight: 100% Compatible Hadoop Service in the Cloud Last week we announced the general availability release of Windows Azure HDInsight. HDInsight is a 100% compatible Hadoop service that allows you to easily provision and manage Hadoop clusters for big data processing in Windows Azure.  This release is now live in production, backed by an enterprise SLA, supported 24x7 by Microsoft Support, and is ready to use for production scenarios. HDInsight allows you to use Apache Hadoop tools, such as Pig and Hive, to process large amounts of data in Windows Azure Blob Storage. Because data is stored in Windows Azure Blob Storage, you can choose to dynamically create Hadoop clusters only when you need them, and then shut them down when they are no longer required (since you pay only for the time the Hadoop cluster instances are running this provides a super cost effective way to use them).  You can create Hadoop clusters using either the Windows Azure Management Portal (see below) or using our PowerShell and Cross Platform Command line tools: The import/export hard drive support that came out today is a perfect companion service to use with HDInsight – the combination allows you to easily ingest, process and optionally export a limitless amount of data.  We’ve also integrated HDInsight with our Business Intelligence tools, so users can leverage familiar tools like Excel in order to analyze the output of jobs.  You can find out more about how to get started with HDInsight here. Virtual Machines: VM Gallery Enhancements Today’s update of Windows Azure brings with it a new Virtual Machine gallery that you can use to create new VMs in the cloud.  You can launch the gallery by doing New->Compute->Virtual Machine->From Gallery within the Windows Azure Management Portal: The new Virtual Machine Gallery includes some nice enhancements that make it even easier to use: Search: You can now easily search and filter images using the search box in the top-right of the dialog.  For example, simply type “SQL” and we’ll filter to show those images in the gallery that contain that substring. Category Tree-view: Each month we add more built-in VM images to the gallery.  You can continue to browse these using the “All” view within the VM Gallery – or now quickly filter them using the category tree-view on the left-hand side of the dialog.  For example, by selecting “Oracle” in the tree-view you can now quickly filter to see the official Oracle supplied images. MSDN and Supported checkboxes: With today’s update we are also introducing filters that makes it easy to filter out types of images that you may not be interested in. The first checkbox is MSDN: using this filter you can exclude any image that is not part of the Windows Azure benefits for MSDN subscribers (which have highly discounted pricing - you can learn more about the MSDN pricing here). The second checkbox is Supported: this filter will exclude any image that contains prerelease software, so you can feel confident that the software you choose to deploy is fully supported by Windows Azure and our partners. Sort options: We sort gallery images by what we think customers are most interested in, but sometimes you might want to sort using different views. So we’re providing some additional sort options, like “Newest,” to customize the image list for what suits you best. Pricing information: We now provide additional pricing information about images and options on how to cost effectively run them directly within the VM Gallery. The above improvements make it even easier to use the VM Gallery and quickly create launch and run Virtual Machines in the cloud. Virtual Machines: ACL Support for VIPs A few months ago we exposed the ability to configure Access Control Lists (ACLs) for Virtual Machines using Windows PowerShell cmdlets and our Service Management API. With today’s release, you can now configure VM ACLs using the Windows Azure Management Portal as well. You can now do this by clicking the new Manage ACL command in the Endpoints tab of a virtual machine instance: This will enable you to configure an ordered list of permit and deny rules to scope the traffic that can access your VM’s network endpoints. For example, if you were on a virtual network, you could limit RDP access to a Windows Azure virtual machine to only a few computers attached to your enterprise. Or if you weren’t on a virtual network you could alternatively limit traffic from public IPs that can access your workloads: Here is the default behaviors for ACLs in Windows Azure: By default (i.e. no rules specified), all traffic is permitted. When using only Permit rules, all other traffic is denied. When using only Deny rules, all other traffic is permitted. When there is a combination of Permit and Deny rules, all other traffic is denied. Lastly, remember that configuring endpoints does not automatically configure them within the VM if it also has firewall rules enabled at the OS level.  So if you create an endpoint using the Windows Azure Management Portal, Windows PowerShell, or REST API, be sure to also configure your guest VM firewall appropriately as well. Web Sites: Web Sockets Support With today’s release you can now use Web Sockets with Windows Azure Web Sites.  This feature enables you to easily integrate real-time communication scenarios within your web based applications, and is available at no extra charge (it even works with the free tier).  Higher level programming libraries like SignalR and socket.io are also now supported with it. You can enable Web Sockets support on a web site by navigating to the Configure tab of a Web Site, and by toggling Web Sockets support to “on”: Once Web Sockets is enabled you can start to integrate some really cool scenarios into your web applications.  Check out the new SignalR documentation hub on www.asp.net to learn more about some of the awesome scenarios you can do with it. Web Sites: Remote Debugging Support The Windows Azure SDK 2.2 we released two weeks ago introduced remote debugging support for Windows Azure Cloud Services. With today’s Windows Azure release we are extending this remote debugging support to also work with Windows Azure Web Sites. With live, remote debugging support inside of Visual Studio, you are able to have more visibility than ever before into how your code is operating live in Windows Azure. It is now super easy to attach the debugger and quickly see what is going on with your application in the cloud. Remote Debugging of a Windows Azure Web Site using VS 2013 Enabling the remote debugging of a Windows Azure Web Site using VS 2013 is really easy.  Start by opening up your web application’s project within Visual Studio. Then navigate to the “Server Explorer” tab within Visual Studio, and click on the deployed web-site you want to debug that is running within Windows Azure using the Windows Azure->Web Sites node in the Server Explorer.  Then right-click and choose the “Attach Debugger” option on it: When you do this Visual Studio will remotely attach the debugger to the Web Site running within Windows Azure.  The debugger will then stop the web site’s execution when it hits any break points that you have set within your web application’s project inside Visual Studio.  For example, below I set a breakpoint on the “ViewBag.Message” assignment statement within the HomeController of the standard ASP.NET MVC project template.  When I hit refresh on the “About” page of the web site within the browser, the breakpoint was triggered and I am now able to debug the app remotely using Visual Studio: Note above how we can debug variables (including autos/watchlist/etc), as well as use the Immediate and Command Windows. In the debug session above I used the Immediate Window to explore some of the request object state, as well as to dynamically change the ViewBag.Message property.  When we click the the “Continue” button (or press F5) the app will continue execution and the Web Site will render the content back to the browser.  This makes it super easy to debug web apps remotely. Tips for Better Debugging To get the best experience while debugging, we recommend publishing your site using the Debug configuration within Visual Studio’s Web Publish dialog. This will ensure that debug symbol information is uploaded to the Web Site which will enable a richer debug experience within Visual Studio.  You can find this option on the Web Publish dialog on the Settings tab: When you ultimately deploy/run the application in production we recommend using the “Release” configuration setting – the release configuration is memory optimized and will provide the best production performance.  To learn more about diagnosing and debugging Windows Azure Web Sites read our new Troubleshooting Windows Azure Web Sites in Visual Studio guide. Notification Hubs: Segmented Push Notification support with tag expressions In August we announced the General Availability of Windows Azure Notification Hubs - a powerful Mobile Push Notifications service that makes it easy to send high volume push notifications with low latency from any mobile app back-end.  Notification hubs can be used with any mobile app back-end (including ones built using our Mobile Services capability) and can also be used with back-ends that run in the cloud as well as on-premises. Beginning with the initial release, Notification Hubs allowed developers to send personalized push notifications to both individual users as well as groups of users by interest, by associating their devices with tags representing the logical target of the notification. For example, by registering all devices of customers interested in a favorite MLB team with a corresponding tag, it is possible to broadcast one message to millions of Boston Red Sox fans and another message to millions of St. Louis Cardinals fans with a single API call respectively. New support for using tag expressions to enable advanced customer segmentation With today’s release we are adding support for even more advanced customer targeting.  You can now identify customers that you want to send push notifications to by defining rich tag expressions. With tag expressions, you can now not only broadcast notifications to Boston Red Sox fans, but take that segmenting a step farther and reach more granular segments. This opens up a variety of scenarios, for example: Offers based on multiple preferences—e.g. send a game day vegetarian special to users tagged as both a Boston Red Sox fan AND a vegetarian Push content to multiple segments in a single message—e.g. rain delay information only to users who are tagged as either a Boston Red Sox fan OR a St. Louis Cardinal fan Avoid presenting subsets of a segment with irrelevant content—e.g. season ticket availability reminder to users who are tagged as a Boston Red Sox fan but NOT also a season ticket holder To illustrate with code, consider a restaurant chain app that sends an offer related to a Red Sox vs Cardinals game for users in Boston. Devices can be tagged by your app with location tags (e.g. “Loc:Boston”) and interest tags (e.g. “Follows:RedSox”, “Follows:Cardinals”), and then a notification can be sent by your back-end to “(Follows:RedSox || Follows:Cardinals) && Loc:Boston” in order to deliver an offer to all devices in Boston that follow either the RedSox or the Cardinals. This can be done directly in your server backend send logic using the code below: var notification = new WindowsNotification(messagePayload); hub.SendNotificationAsync(notification, "(Follows:RedSox || Follows:Cardinals) && Loc:Boston"); In your expressions you can use all Boolean operators: AND (&&), OR (||), and NOT (!).  Some other cool use cases for tag expressions that are now supported include: Social: To “all my group except me” - group:id && !user:id Events: Touchdown event is sent to everybody following either team or any of the players involved in the action: Followteam:A || Followteam:B || followplayer:1 || followplayer:2 … Hours: Send notifications at specific times. E.g. Tag devices with time zone and when it is 12pm in Seattle send to: GMT8 && follows:thaifood Versions and platforms: Send a reminder to people still using your first version for Android - version:1.0 && platform:Android For help on getting started with Notification Hubs, visit the Notification Hub documentation center.  Then download the latest NuGet package (or use the Notification Hubs REST APIs directly) to start sending push notifications using tag expressions.  They are really powerful and enable a bunch of great new scenarios. TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services With today’s Windows Azure release we are making it really easy to enable continuous delivery support with Windows Azure and Team Foundation Services.  Team Foundation Services is a cloud based offering from Microsoft that provides integrated source control (with both TFS and Git support), build server, test execution, collaboration tools, and agile planning support.  It makes it really easy to setup a team project (complete with automated builds and test runners) in the cloud, and it has really rich integration with Visual Studio. With today’s Windows Azure release it is now really easy to enable continuous delivery support with both TFS and Git based repositories hosted using Team Foundation Services.  This enables a workflow where when code is checked in, built successfully on an automated build server, and all tests pass on it – I can automatically have the app deployed on Windows Azure with zero manual intervention or work required. The below screen-shots demonstrate how to quickly setup a continuous delivery workflow to Windows Azure with a Git-based ASP.NET MVC project hosted using Team Foundation Services. Enabling Continuous Delivery to Windows Azure with Team Foundation Services The project I’m going to enable continuous delivery with is a simple ASP.NET MVC project whose source code I’m hosting using Team Foundation Services.  I did this by creating a “SimpleContinuousDeploymentTest” repository there using Git – and then used the new built-in Git tooling support within Visual Studio 2013 to push the source code to it.  Below is a screen-shot of the Git repository hosted within Team Foundation Services: I can access the repository within Visual Studio 2013 and easily make commits with it (as well as branch, merge and do other tasks).  Using VS 2013 I can also setup automated builds to take place in the cloud using Team Foundation Services every time someone checks in code to the repository: The cool thing about this is that I don’t have to buy or rent my own build server – Team Foundation Services automatically maintains its own build server farm and can automatically queue up a build for me (for free) every time someone checks in code using the above settings.  This build server (and automated testing) support now works with both TFS and Git based source control repositories. Connecting a Team Foundation Services project to Windows Azure Once I have a source repository hosted in Team Foundation Services with Automated Builds and Testing set up, I can then go even further and set it up so that it will be automatically deployed to Windows Azure when a source code commit is made to the repository (assuming the Build + Tests pass).  Enabling this is now really easy.  To set this up with a Windows Azure Web Site simply use the New->Compute->Web Site->Custom Create command inside the Windows Azure Management Portal.  This will create a dialog like below.  I gave the web site a name and then made sure the “Publish from source control” checkbox was selected: When we click next we’ll be prompted for the location of the source repository.  We’ll select “Team Foundation Services”: Once we do this we’ll be prompted for our Team Foundation Services account that our source repository is hosted under (in this case my TFS account is “scottguthrie”): When we click the “Authorize Now” button we’ll be prompted to give Windows Azure permissions to connect to the Team Foundation Services account.  Once we do this we’ll be prompted to pick the source repository we want to connect to.  Starting with today’s Windows Azure release you can now connect to both TFS and Git based source repositories.  This new support allows me to connect to the “SimpleContinuousDeploymentTest” respository we created earlier: Clicking the finish button will then create the Web Site with the continuous delivery hooks setup with Team Foundation Services.  Now every time someone pushes source control to the repository in Team Foundation Services, it will kick off an automated build, run all of the unit tests in the solution , and if they pass the app will be automatically deployed to our Web Site in Windows Azure.  You can monitor the history and status of these automated deployments using the Deployments tab within the Web Site: This enables a really slick continuous delivery workflow, and enables you to build and deploy apps in a really nice way. Developer Analytics: New Relic support for Web Sites + Mobile Services With today’s Windows Azure release we are making it really easy to enable Developer Analytics and Monitoring support with both Windows Azure Web Site and Windows Azure Mobile Services.  We are partnering with New Relic, who provide a great dev analytics and app performance monitoring offering, to enable this - and we have updated the Windows Azure Management Portal to make it really easy to configure. Enabling New Relic with a Windows Azure Web Site Enabling New Relic support with a Windows Azure Web Site is now really easy.  Simply navigate to the Configure tab of a Web Site and scroll down to the “developer analytics” section that is now within it: Clicking the “add-on” button will display some additional UI.  If you don’t already have a New Relic subscription, you can click the “view windows azure store” button to obtain a subscription (note: New Relic has a perpetually free tier so you can enable it even without paying anything): Clicking the “view windows azure store” button will launch the integrated Windows Azure Store experience we have within the Windows Azure Management Portal.  You can use this to browse from a variety of great add-on services – including New Relic: Select “New Relic” within the dialog above, then click the next button, and you’ll be able to choose which type of New Relic subscription you wish to purchase.  For this demo we’ll simply select the “Free Standard Version” – which does not cost anything and can be used forever:  Once we’ve signed-up for our New Relic subscription and added it to our Windows Azure account, we can go back to the Web Site’s configuration tab and choose to use the New Relic add-on with our Windows Azure Web Site.  We can do this by simply selecting it from the “add-on” dropdown (it is automatically populated within it once we have a New Relic subscription in our account): Clicking the “Save” button will then cause the Windows Azure Management Portal to automatically populate all of the needed New Relic configuration settings to our Web Site: Deploying the New Relic Agent as part of a Web Site The final step to enable developer analytics using New Relic is to add the New Relic runtime agent to our web app.  We can do this within Visual Studio by right-clicking on our web project and selecting the “Manage NuGet Packages” context menu: This will bring up the NuGet package manager.  You can search for “New Relic” within it to find the New Relic agent.  Note that there is both a 32-bit and 64-bit edition of it – make sure to install the version that matches how your Web Site is running within Windows Azure (note: you can configure your Web Site to run in either 32-bit or 64-bit mode using the Web Site’s “Configuration” tab within the Windows Azure Management Portal): Once we install the NuGet package we are all set to go.  We’ll simply re-publish the web site again to Windows Azure and New Relic will now automatically start monitoring the application Monitoring a Web Site using New Relic Now that the application has developer analytics support with New Relic enabled, we can launch the New Relic monitoring portal to start monitoring the health of it.  We can do this by clicking on the “Add Ons” tab in the left-hand side of the Windows Azure Management Portal.  Then select the New Relic add-on we signed-up for within it.  The Windows Azure Management Portal will provide some default information about the add-on when we do this.  Clicking the “Manage” button in the tray at the bottom will launch a new browser tab and single-sign us into the New Relic monitoring portal associated with our account: When we do this a new browser tab will launch with the New Relic admin tool loaded within it: We can now see insights into how our app is performing – without having to have written a single line of monitoring code.  The New Relic service provides a ton of great built-in monitoring features allowing us to quickly see: Performance times (including browser rendering speed) for the overall site and individual pages.  You can optionally set alert thresholds to trigger if the speed does not meet a threshold you specify. Information about where in the world your customers are hitting the site from (and how performance varies by region) Details on the latency performance of external services your web apps are using (for example: SQL, Storage, Twitter, etc) Error information including call stack details for exceptions that have occurred at runtime SQL Server profiling information – including which queries executed against your database and what their performance was And a whole bunch more… The cool thing about New Relic is that you don’t need to write monitoring code within your application to get all of the above reports (plus a lot more).  The New Relic agent automatically enables the CLR profiler within applications and automatically captures the information necessary to identify these.  This makes it super easy to get started and immediately have a rich developer analytics view for your solutions with very little effort. If you haven’t tried New Relic out yet with Windows Azure I recommend you do so – I think you’ll find it helps you build even better cloud applications.  Following the above steps will help you get started and deliver you a really good application monitoring solution in only minutes. Service Bus: Support for partitioned queues and topics With today’s release, we are enabling support within Service Bus for partitioned queues and topics. Enabling partitioning enables you to achieve a higher message throughput and better availability from your queues and topics. Higher message throughput is achieved by implementing multiple message brokers for each partitioned queue and topic.  The  multiple messaging stores will also provide higher availability. You can create a partitioned queue or topic by simply checking the Enable Partitioning option in the custom create wizard for a Queue or Topic: Read this article to learn more about partitioned queues and topics and how to take advantage of them today. Billing: New Billing Alert Service Today’s Windows Azure update enables a new Billing Alert Service Preview that enables you to get proactive email notifications when your Windows Azure bill goes above a certain monetary threshold that you configure.  This makes it easier to manage your bill and avoid potential surprises at the end of the month. With the Billing Alert Service Preview, you can now create email alerts to monitor and manage your monetary credits or your current bill total.  To set up an alert first sign-up for the free Billing Alert Service Preview.  Then visit the account management page, click on a subscription you have setup, and then navigate to the new Alerts tab that is available: The alerts tab allows you to setup email alerts that will be sent automatically once a certain threshold is hit.  For example, by clicking the “add alert” button above I can setup a rule to send myself email anytime my Windows Azure bill goes above $100 for the month: The Billing Alert Service will evolve to support additional aspects of your bill as well as support multiple forms of alerts such as SMS.  Try out the new Billing Alert Service Preview today and give us feedback. Summary Today’s Windows Azure release enables a ton of great new scenarios, and makes building applications hosted in the cloud even easier. If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using all of the above features today.  Then visit the Windows Azure Developer Center to learn more about how to build apps with it. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • How can I center XHTML content with CSS?

    - by drea
    so I recently converted a website of mine from a table content format to a div content format. Table format Version: Table version of the website: here. Table version style CSS: body { width: 1020px; margin: 0 auto; background-image: url(images/bg.png); } .logo{ width:301px; height:151px; background:url(images/logo.png); text-indent:-9999px; border:none; cursor:pointer; } .logo:hover { opacity:0.9; } .signin{ width:69px; height:30px; background:url(images/signin.png); text-indent:-9999px; border:none; cursor:pointer; } .signin:hover { opacity:0.9; } .register{ width:79px; height:30px; background:url(images/register.png); text-indent:-9999px; border:none; cursor:pointer; } .register:hover { opacity:0.9; } .Contact_Us{ width:53px; height:9px; background:url(images/Contact_Us.png); text-indent:-9999px; border:none; cursor:pointer; } .Contact_Us:hover { opacity:0.9; } .Code_of_Conduct{ width:84px; height:9px; background:url(images/Code_of_Conduct.png); text-indent:-9999px; border:none; cursor:pointer; } .Code_of_Conduct:hover { opacity:0.9; } .Privacy_Policy{ width:65px; height:12px; background:url(images/Privacy_Policy.png); text-indent:-9999px; border:none; cursor:pointer; } .Privacy_Policy:hover { opacity:0.9; } .Copyright{ width:149px; height:9px; background:url(images/Copyright.png); text-indent:-9999px; border:none; cursor:pointer; } .Copyright:hover { opacity:0.9; } .slideshow{ width:301px; height:151px; background: url(slideshow.png), url(minecraft.png), url(tf2.png), url(CSS.png), url(GM.png), url(aos.png), url(CSGO.png), url(voip.png), text-indent:-9999px; border:none; cursor:pointer; } .slideshow:hover { opacity:0.9; } Table version source: <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head profile="http://www.w3.org/2005/10/profile"> <link rel="icon" type="image/png" href="http://www.xodusen.com/resources/images/favicon.png"> <title>Welcome to XodusEN</title> <script type="text/javascript" src="https://ajax.googleapis.com/ajax/libs/jquery/1.8.0/jquery.min.js"></script> <script type="text/javascript" src="http://cloud.github.com/downloads/malsup/cycle/jquery.cycle.all.latest.js"></script> <script type="text/javascript"> $(document).ready(function() { $('.slideshow').cycle({ fx: 'fade' // choose your transition type, ex: fade, scrollUp, shuffle, etc... }); }); </script> <meta name="description" content="This is the homepage of XodusEN. Xodus Entertainment Network is a unique & friendly Gaming Community that welcomes & realises the potential, and value within any user regardless of their origin. " > <meta name="keywords" content="XeN, Xodus, XEN, xen, Xodus Entertainment Network, gaming, community, PC, Steam, XBL, Xbox 360, PSN, Playstation, games, Gaming, Community, XodusEN, Gaming Network, Network, TF2, Server, CS:S, Minecraft, premium, servers, Counter-Strike: Source, Website, Homepage, Minecraftia" > <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> <link href="style.css" rel="stylesheet" type="text/css"> <!--[if IE]> <script type="text/javascript"> window.location = "http://www.xodusen.com/ie/"; </script> <![endif]--> </head> <body bgcolor="#d7d7d7"> <table id="Table_01" border="0" cellpadding="0" cellspacing="0"> <tr> <td colspan="18"> <img src="images/index_01.png" width="1020" height="9" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="9" alt=""></td> </tr> <tr> <td colspan="11" rowspan="2"> <img src="images/index_02.png" width="826" height="252" alt=""></td> <td> <a id="signin" class="signin" href="http://s.xodusen.com/VrtqYm"> <img src="images/signin.png" width="69" height="30" border="0" alt=""></a> <td rowspan="6"> <img src="images/index_04.png" width="3" height="643" alt=""></td> <td colspan="3"> <a id="register" class="register" href="http://s.xodusen.com/WW3rpZ"> <img src="images/Register.png" width="79" height="30" border="0" alt=""></a> <td colspan="2" rowspan="6"> <img src="images/index_06.png" width="43" height="643" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="30" alt=""></td> </tr> <tr> <td rowspan="5"> <img src="images/index_07.png" width="69" height="613" alt=""></td> <td colspan="3" rowspan="5"> <img src="images/index_08.png" width="79" height="613" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="222" alt=""></td> </tr> <tr> <td colspan="5"> <img src="images/index_09.png" width="385" height="53" alt=""></td> <td> <img src="images/index_10.png" width="250" height="53" alt=""></td> <td colspan="5"> <img src="images/index_11.png" width="191" height="53" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="53" alt=""></td> </tr> <tr> <td colspan="4" rowspan="3"> <img src="images/index_09-13.png" width="360" height="338" alt=""></td> <td colspan="3"> <a id="logo" class="logo" href="http://www.xodusen.com/community"> <img src="images/logo.png" alt=""></a> </td> <td colspan="4" rowspan="3"> <img src="images/index_11-15.png" width="165" height="338" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="151" alt=""></td> </tr> <tr> <td rowspan="2"> <img src="images/index_09-16.png" width="25" height="187" alt=""></td> <td> <img src="images/index_16.png" width="250" height="46" alt=""></td> <td rowspan="2"> <img src="images/index_11-18.png" width="26" height="187" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="46" alt=""></td> </tr> <tr> <td> <img src="images/index_12.png" width="250" height="141" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="141" alt=""></td> </tr> <tr> <td rowspan="7"> <img src="images/index_13.png" width="27" height="548" alt=""></td> <td colspan="16" id="slideshow" class="slideshow"> <a href="http://www.xodusen.com/community"><img src="images/slideshow.png" width="960" height="305" alt=""></a> <a href="http://www.xodusen.com/mcurl"><img src="images/minecraft.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.194:27015"><img src="images/tf2.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.195:27015"><img src="images/CSS.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.197:27015"><img src="images/GM.png" width="960" height="305" alt=""></a> <a href="aos://3267131722:32887"><img src="images/aos.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.196:27015"><img src="images/CSGO.png" width="960" height="305" alt=""></a></td> <td rowspan="7"> <img src="images/index_15.png" width="33" height="548" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="305" alt=""></td> </tr> <tr> <td colspan="16"> <img src="images/index_16-23.png" width="960" height="155" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="155" alt=""></td> </tr> <tr> <td rowspan="5"> <img src="images/index_17.png" width="38" height="88" alt=""></td> <td rowspan="2"> <a id="Copyright" class="Copyright" href="http://www.xodusen.com/community"> <img src="images/Copyright.png" width="149" height="9" border="0" alt=""></a></td> <td colspan="14"> <img src="images/index_25.png" width="773" height="5" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="5" alt=""></td> </tr> <tr> <td colspan="5" rowspan="4"> <img src="images/index_20.png" width="527" height="83" alt=""></td> <td rowspan="3"> <a id="Privacy_Policy" class="Privacy_Policy" href="http://s.xodusen.com/VhGEkH"> <img src="images/Privacy_Policy.png" width="65" height="12" border="0" alt=""></a></td> <td rowspan="4"> <img src="images/index_28.png" width="8" height="83" alt=""></td> <td colspan="3" rowspan="2"> <a id="Code_of_Conduct" class="Code_of_Conduct" href="http://s.xodusen.com/Tf5Gz7"> <img src="images/Code_of_Conduct.png" width="84" height="9" border="0" alt=""></a></td> <td rowspan="4"> <img src="images/index_30.png" width="6" height="83" alt=""></td> <td rowspan="2"> <a id="Contact_Us" class="Contact_Us" href="http://s.xodusen.com/T5EYsG"> <img src="images/Contact_Us.png" width="53" height="9" border="0" alt=""></a></td> <td colspan="2" rowspan="4"> <img src="images/index_26.png" width="30" height="83" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="4" alt=""></td> </tr> <tr> <td rowspan="3"> <img src="images/index_27.png" width="149" height="79" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="5" alt=""></td> </tr> <tr> <td colspan="3" rowspan="2"> <img src="images/index_28-35.png" width="84" height="74" alt=""></td> <td rowspan="2"> <img src="images/index_29.png" width="53" height="74" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="3" alt=""></td> </tr> <tr> <td> <img src="images/index_30-37.png" width="65" height="71" alt=""></td> <td> <img src="images/spacer.gif" width="1" height="71" alt=""></td> </tr> <tr> <td> <img src="images/spacer.gif" width="27" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="38" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="149" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="146" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="25" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="250" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="26" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="80" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="65" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="8" height="1" alt=""></td> <td> <img src="images/spacer.gif" width="12" height="1" alt=""></td> <td> <img 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Div version style CSS: body { width: 1020px; margin: 0 auto; background-image: url(images/bg.png); } #Table_01 { position:absolute; left:0px; top:0px; width:1020px; height:1200px; } #index-01_ { position:absolute; left:0px; top:0px; width:1020px; height:9px; } #index-02_ { position:absolute; left:0px; top:9px; width:826px; height:305px; } #Signin_ { position:absolute; left:826px; top:9px; width:69px; height:30px; } #index-04_ { position:absolute; left:895px; top:9px; width:3px; height:643px; } #Register_ { position:absolute; left:898px; top:9px; width:79px; height:30px; } #index-06_ { position:absolute; left:977px; top:9px; width:43px; height:643px; } #index-07_ { position:absolute; left:826px; top:39px; width:69px; height:613px; } #index-08_ { position:absolute; left:898px; top:39px; width:79px; height:613px; } #index-09_ { position:absolute; left:0px; top:314px; width:360px; height:338px; } #Logo_ { position:absolute; left:360px; top:314px; width:301px; height:151px; } #index-11_ { position:absolute; left:661px; top:314px; width:165px; height:338px; } #index-12_ { position:absolute; left:360px; top:465px; width:301px; height:187px; } #index-13_ { position:absolute; left:0px; top:652px; width:27px; height:548px; } #Slideshow_ { position:absolute; left:27px; top:652px; width:960px; height:305px; } #index-15_ { position:absolute; left:987px; top:652px; width:33px; height:548px; } #index-16_ { position:absolute; left:27px; top:957px; width:960px; height:155px; } #index-17_ { position:absolute; left:27px; top:1112px; width:39px; height:88px; } #Copyright_ { position:absolute; left:66px; top:1112px; width:148px; height:13px; } #index-19_ { position:absolute; left:214px; top:1112px; width:773px; height:5px; } #index-20_ { position:absolute; left:214px; top:1117px; width:526px; height:83px; } #Privacy-Policy_ { position:absolute; left:740px; top:1117px; width:68px; height:23px; } #index-22_ { position:absolute; left:808px; top:1117px; width:6px; height:83px; } #Code-of-Conduct_ { position:absolute; left:814px; top:1117px; width:84px; height:23px; } #index-24_ { position:absolute; left:898px; top:1117px; width:2px; height:83px; } #Contact-Us_ { position:absolute; left:900px; top:1117px; width:57px; height:23px; } #index-26_ { position:absolute; left:957px; top:1117px; width:30px; height:83px; } #index-27_ { position:absolute; left:66px; top:1125px; width:148px; height:75px; } #index-28_ { position:absolute; left:740px; top:1140px; width:68px; height:60px; } #index-29_ { position:absolute; left:814px; top:1140px; width:84px; height:60px; } #index-30_ { position:absolute; left:900px; top:1140px; width:57px; height:60px; } .logo{ width:301px; height:151px; background:url(images/logo.png); text-indent:-9999px; border:none; cursor:pointer; } .logo:hover { opacity:0.9; } .signin{ width:69px; height:30px; background:url(images/signin.png); text-indent:-9999px; border:none; cursor:pointer; } .signin:hover { opacity:0.9; } .register{ width:79px; height:30px; background:url(images/register.png); text-indent:-9999px; border:none; cursor:pointer; } .register:hover { opacity:0.9; } .contact_Us{ width:53px; height:9px; background:url(images/Contact_Us.png); text-indent:-9999px; border:none; cursor:pointer; } .contact_Us:hover { opacity:0.9; } .code_of_Conduct{ width:84px; height:9px; background:url(images/Code_of_Conduct.png); text-indent:-9999px; border:none; cursor:pointer; } .code_of_Conduct:hover { opacity:0.9; } .privacy_policy{ width:65px; height:12px; background:url(images/Privacy_Policy.png); text-indent:-9999px; border:none; cursor:pointer; } .privacy_policy:hover { opacity:0.9; } .copyright{ width:148px; height:13px; background:url(images/Copyright.png); text-indent:-9999px; border:none; cursor:pointer; } .copyright:hover { opacity:0.9; } .slideshow{ width:301px; height:151px; background: url(slideshow.png), url(minecraft.png), url(tf2.png), url(CSS.png), url(GM.png), url(aos.png), url(CSGO.png), url(voip.png), text-indent:-9999px; border:none; cursor:pointer; } .slideshow:hover { opacity:0.9; } Div version source: <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <script type="text/javascript"> //<![CDATA[ window.__CF=window.__CF||{};window.__CF.AJS={"vig_key":{"sid":"c6d1454039dd49b1c8400bbfdf74df7a"},"trumpet":{"message":"XodusEN is undergoing background maintenance, that will provide performance & graphical improvements to our system, but will not hinder your experience across our services."},"ga_key":{"ua":"UA-35779435-1","ga_bs":"2"},"exprmntly":{"service_id":"7967"},"cdnjs":{"__h":"1","cdnjs":"MO,GF,FX,CS,JS"},"abetterbrowser":{"ie":"10"}}; //]]> </script> <script type="text/javascript"> //<![CDATA[ try{if (!window.CloudFlare) { var CloudFlare=[{verbose:0,p:0,byc:0,owlid:"cf",mirage:{responsive:0,lazy:0},oracle:0,paths:{cloudflare:"/cdn-cgi/nexp/aav=1870252173/"},atok:"d6e39f49946fcb6d690f0d10d5a963f3",zone:"xodusen.com",rocket:"a",apps:{"vig_key":{"sid":"c6d1454039dd49b1c8400bbfdf74df7a"},"trumpet":{"message":"XodusEN is undergoing background maintenance, that will provide performance & graphical improvements to our system, but will not hinder your experience across our services."},"ga_key":{"ua":"UA-35779435-1","ga_bs":"2"},"exprmntly":{"service_id":"7967"},"cdnjs":{"__h":"1","cdnjs":"MO,GF,FX,CS,JS"},"abetterbrowser":{"ie":"10"}}}];document.write('<script type="text/javascript" src="//ajax.cloudflare.com/cdn-cgi/nexp/aav=4114775854/cloudflare.min.js"><'+'\/script>')}}catch(e){}; //]]> </script> <script type="text/javascript" src="//ajax.cloudflare.com/cdn-cgi/nexp/aav=1566821048/appsh.min.js"></script><script type="text/javascript">__CF.AJS.inith();</script><link rel="icon" type="image/png" href="http://www.xodusen.com/resources/images/favicon.png"> <title>Welcome to XodusEN</title> <meta name="description" content="This is the homepage of XodusEN. Xodus Entertainment Network is a unique & friendly Gaming Community that welcomes & realises the potential, and value within any user regardless of their origin. "> <meta name="keywords" content="XeN, Xodus, XEN, xen, Xodus Entertainment Network, gaming, community, PC, Steam, XBL, Xbox 360, PSN, Playstation, games, Gaming, Community, XodusEN, Gaming Network, Network, TF2, Server, CS:S, Minecraft, premium, servers, Counter-Strike: Source, Website, Homepage, Minecraftia"> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="style.css" rel="stylesheet" type="text/css"> <script type="text/rocketscript" data-rocketsrc="https://ajax.googleapis.com/ajax/libs/jquery/1.8.0/jquery.min.js"></script> <script type="text/rocketscript" data-rocketsrc="http://cloud.github.com/downloads/malsup/cycle/jquery.cycle.all.latest.js"></script> <script type="text/rocketscript"> $(document).ready(function() { $('.slideshow').cycle({ fx: 'fade' // choose your transition type, ex: fade, scrollUp, shuffle, etc... }); }); </script> <!--[if IE]> <script type="text/javascript"> window.location = "http://www.xodusen.com/ie/"; </script> <![endif]--> <script type="text/javascript"> /* <![CDATA[ */ var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-35779435-1']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 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/* ]]> */ </script> <meta name="pinterest" content="nopin"/></head> <body style="background-color:#d7d7d7;"><script type="text/javascript"> //<![CDATA[ try{(function(a){var b="http://",c="www.xodusen.com",d="/cdn-cgi/cl/",e="618e40fe1e01787d9cb9aa2f8abc52caf8a32796.gif",f=new a;f.src=[b,c,d,e].join("")})(Image)}catch(e){} //]]> </script> <div id="Table_01"> <div id="index-01_"> <img id="index_01" src="images/index_01.png" width="1020" height="9" alt=""/> </div> <div id="index-02_"> <img id="index_02" src="images/index_02.png" width="826" height="305" alt=""/> </div> <div id="Signin_"> <a href="http://s.xodusen.com/VrtqYm"> <img id="Signin" class="signin" src="images/Signin.png" width="69" height="30" border="0" alt=""/></a> </div> <div id="index-04_"> <img id="index_04" src="images/index_04.png" width="3" height="643" alt=""/> </div> <div id="Register_"> <a href="http://s.xodusen.com/WW3rpZ"> <img id="Register" class="register" src="images/Register.png" width="79" height="30" alt=""/></a> </div> <div id="index-06_"> <img id="index_06" src="images/index_06.png" width="43" height="643" alt=""/> </div> <div id="index-07_"> <img id="index_07" src="images/index_07.png" width="69" height="613" alt=""/> </div> <div id="index-08_"> <img id="index_08" src="images/index_08.png" width="79" height="613" alt=""/> </div> <div id="index-09_"> <img id="index_09" src="images/index_09.png" width="360" height="338" alt=""/> </div> <div id="Logo_"> <a href="http://s.xodusen.com/WW3rpZ"> <img class="logo" src="images/Logo.png" width="301" height="151" alt=""></a> </div> <div id="index-11_"> <img id="index_11" src="images/index_11.png" width="165" height="338" alt=""/> </div> <div id="index-12_"> <img id="index_12" src="images/index_12.png" width="301" height="187" alt=""/> </div> <div id="index-13_"> <img id="index_13" src="images/index_13.png" width="27" height="548" alt=""/> </div> <div id="Slideshow_" class="slideshow"> <a href="http://www.xodusen.com/community"> <img src="images/slideshow.png" width="960" height="305" alt=""></a> <a href="http://www.xodusen.com/mcurl"> <img src="images/minecraft.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.194:27015"> <img src="images/tf2.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.195:27015"> <img src="images/CSS.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.197:27015"> <img src="images/GM.png" width="960" height="305" alt=""></a> <a href="aos://3267131722:32887"> <img src="images/aos.png" width="960" height="305" alt=""></a> <a href="steam://connect/74.121.188.196:27015"> <img src="images/CSGO.png" width="960" height="305" alt=""></a> </div> <div id="index-15_"> <img id="index_15" src="images/index_15.png" width="33" height="548" alt=""/> </div> <div id="index-16_"> <img id="index_16" src="images/index_16.png" width="960" height="155" alt=""/> </div> <div id="index-17_"> <img id="index_17" src="images/index_17.png" width="39" height="88" alt=""/> </div> <div id="Copyright_"> <a href="http://www.xodusen.com/community"> <img id="Copyright" src="images/Copyright.png" width="148" height="13" alt=""></a> </div> <div id="index-19_"> <img id="index_19" src="images/index_19.png" width="773" height="5" alt=""/> </div> <div id="index-20_"> <img id="index_20" src="images/index_20.png" width="526" height="83" alt=""/> </div> <div id="Privacy-Policy_"> <a href="http://s.xodusen.com/VhGEkH"> <img id="Privacy_Policy" src="images/Privacy_Policy.png" width="68" height="23" alt=""></a> </div> <div id="index-22_"> <img id="index_22" src="images/index_22.png" width="6" height="83" alt=""/> </div> <div id="Code-of-Conduct_"> <a href="http://s.xodusen.com/Tf5Gz7"> <img id="Code_of_Conduct" src="images/Code_of_Conduct.png" width="84" height="23" alt=""></a> </div> <div id="index-24_"> <img id="index_24" src="images/index_24.png" width="2" height="83" alt=""/> </div> <div id="Contact-Us_"> <a href="http://s.xodusen.com/T5EYsG"> <img id="Contact_Us" src="images/Contact_Us.png" width="57" height="23" alt=""></a> </div> <div id="index-26_"> <img id="index_26" src="images/index_26.png" width="30" height="83" alt=""/> </div> <div id="index-27_"> <img id="index_27" src="images/index_27.png" width="148" height="75" alt=""/> </div> <div id="index-28_"> <img id="index_28" src="images/index_28.png" width="68" height="60" alt=""/> </div> <div id="index-29_"> <img id="index_29" src="images/index_29.png" width="84" height="60" alt=""/> </div> <div id="index-30_"> <img id="index_30" src="images/index_30.png" width="57" height="60" alt=""/> </div> </div> <script type="text/javascript" src="//ajax.cloudflare.com/cdn-cgi/nexp/aav=4188748942/apps1.min.js"></script><script type="text/javascript">__CF.AJS.init1();</script></body> </html> My issue is, how can I achieve the same 'centered' results in the div format of the website, as the table format of the website? I have done some research to no avail, so I'd thought given the reputation of this site, that i'd post my issue here. Thank you in advance, ~ drea.

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  • 256 Windows Azure Worker Roles, Windows Kinect and a 90's Text-Based Ray-Tracer

    - by Alan Smith
    For a couple of years I have been demoing a simple render farm hosted in Windows Azure using worker roles and the Azure Storage service. At the start of the presentation I deploy an Azure application that uses 16 worker roles to render a 1,500 frame 3D ray-traced animation. At the end of the presentation, when the animation was complete, I would play the animation delete the Azure deployment. The standing joke with the audience was that it was that it was a “$2 demo”, as the compute charges for running the 16 instances for an hour was $1.92, factor in the bandwidth charges and it’s a couple of dollars. The point of the demo is that it highlights one of the great benefits of cloud computing, you pay for what you use, and if you need massive compute power for a short period of time using Windows Azure can work out very cost effective. The “$2 demo” was great for presenting at user groups and conferences in that it could be deployed to Azure, used to render an animation, and then removed in a one hour session. I have always had the idea of doing something a bit more impressive with the demo, and scaling it from a “$2 demo” to a “$30 demo”. The challenge was to create a visually appealing animation in high definition format and keep the demo time down to one hour.  This article will take a run through how I achieved this. Ray Tracing Ray tracing, a technique for generating high quality photorealistic images, gained popularity in the 90’s with companies like Pixar creating feature length computer animations, and also the emergence of shareware text-based ray tracers that could run on a home PC. In order to render a ray traced image, the ray of light that would pass from the view point must be tracked until it intersects with an object. At the intersection, the color, reflectiveness, transparency, and refractive index of the object are used to calculate if the ray will be reflected or refracted. Each pixel may require thousands of calculations to determine what color it will be in the rendered image. Pin-Board Toys Having very little artistic talent and a basic understanding of maths I decided to focus on an animation that could be modeled fairly easily and would look visually impressive. I’ve always liked the pin-board desktop toys that become popular in the 80’s and when I was working as a 3D animator back in the 90’s I always had the idea of creating a 3D ray-traced animation of a pin-board, but never found the energy to do it. Even if I had a go at it, the render time to produce an animation that would look respectable on a 486 would have been measured in months. PolyRay Back in 1995 I landed my first real job, after spending three years being a beach-ski-climbing-paragliding-bum, and was employed to create 3D ray-traced animations for a CD-ROM that school kids would use to learn physics. I had got into the strange and wonderful world of text-based ray tracing, and was using a shareware ray-tracer called PolyRay. PolyRay takes a text file describing a scene as input and, after a few hours processing on a 486, produced a high quality ray-traced image. The following is an example of a basic PolyRay scene file. background Midnight_Blue   static define matte surface { ambient 0.1 diffuse 0.7 } define matte_white texture { matte { color white } } define matte_black texture { matte { color dark_slate_gray } } define position_cylindrical 3 define lookup_sawtooth 1 define light_wood <0.6, 0.24, 0.1> define median_wood <0.3, 0.12, 0.03> define dark_wood <0.05, 0.01, 0.005>     define wooden texture { noise surface { ambient 0.2  diffuse 0.7  specular white, 0.5 microfacet Reitz 10 position_fn position_cylindrical position_scale 1  lookup_fn lookup_sawtooth octaves 1 turbulence 1 color_map( [0.0, 0.2, light_wood, light_wood] [0.2, 0.3, light_wood, median_wood] [0.3, 0.4, median_wood, light_wood] [0.4, 0.7, light_wood, light_wood] [0.7, 0.8, light_wood, median_wood] [0.8, 0.9, median_wood, light_wood] [0.9, 1.0, light_wood, dark_wood]) } } define glass texture { surface { ambient 0 diffuse 0 specular 0.2 reflection white, 0.1 transmission white, 1, 1.5 }} define shiny surface { ambient 0.1 diffuse 0.6 specular white, 0.6 microfacet Phong 7  } define steely_blue texture { shiny { color black } } define chrome texture { surface { color white ambient 0.0 diffuse 0.2 specular 0.4 microfacet Phong 10 reflection 0.8 } }   viewpoint {     from <4.000, -1.000, 1.000> at <0.000, 0.000, 0.000> up <0, 1, 0> angle 60     resolution 640, 480 aspect 1.6 image_format 0 }       light <-10, 30, 20> light <-10, 30, -20>   object { disc <0, -2, 0>, <0, 1, 0>, 30 wooden }   object { sphere <0.000, 0.000, 0.000>, 1.00 chrome } object { cylinder <0.000, 0.000, 0.000>, <0.000, 0.000, -4.000>, 0.50 chrome }   After setting up the background and defining colors and textures, the viewpoint is specified. The “camera” is located at a point in 3D space, and it looks towards another point. The angle, image resolution, and aspect ratio are specified. Two lights are present in the image at defined coordinates. The three objects in the image are a wooden disc to represent a table top, and a sphere and cylinder that intersect to form a pin that will be used for the pin board toy in the final animation. When the image is rendered, the following image is produced. The pins are modeled with a chrome surface, so they reflect the environment around them. Note that the scale of the pin shaft is not correct, this will be fixed later. Modeling the Pin Board The frame of the pin-board is made up of three boxes, and six cylinders, the front box is modeled using a clear, slightly reflective solid, with the same refractive index of glass. The other shapes are modeled as metal. object { box <-5.5, -1.5, 1>, <5.5, 5.5, 1.2> glass } object { box <-5.5, -1.5, -0.04>, <5.5, 5.5, -0.09> steely_blue } object { box <-5.5, -1.5, -0.52>, <5.5, 5.5, -0.59> steely_blue } object { cylinder <-5.2, -1.2, 1.4>, <-5.2, -1.2, -0.74>, 0.2 steely_blue } object { cylinder <5.2, -1.2, 1.4>, <5.2, -1.2, -0.74>, 0.2 steely_blue } object { cylinder <-5.2, 5.2, 1.4>, <-5.2, 5.2, -0.74>, 0.2 steely_blue } object { cylinder <5.2, 5.2, 1.4>, <5.2, 5.2, -0.74>, 0.2 steely_blue } object { cylinder <0, -1.2, 1.4>, <0, -1.2, -0.74>, 0.2 steely_blue } object { cylinder <0, 5.2, 1.4>, <0, 5.2, -0.74>, 0.2 steely_blue }   In order to create the matrix of pins that make up the pin board I used a basic console application with a few nested loops to create two intersecting matrixes of pins, which models the layout used in the pin boards. The resulting image is shown below. The pin board contains 11,481 pins, with the scene file containing 23,709 lines of code. For the complete animation 2,000 scene files will be created, which is over 47 million lines of code. Each pin in the pin-board will slide out a specific distance when an object is pressed into the back of the board. This is easily modeled by setting the Z coordinate of the pin to a specific value. In order to set all of the pins in the pin-board to the correct position, a bitmap image can be used. The position of the pin can be set based on the color of the pixel at the appropriate position in the image. When the Windows Azure logo is used to set the Z coordinate of the pins, the following image is generated. The challenge now was to make a cool animation. The Azure Logo is fine, but it is static. Using a normal video to animate the pins would not work; the colors in the video would not be the same as the depth of the objects from the camera. In order to simulate the pin board accurately a series of frames from a depth camera could be used. Windows Kinect The Kenect controllers for the X-Box 360 and Windows feature a depth camera. The Kinect SDK for Windows provides a programming interface for Kenect, providing easy access for .NET developers to the Kinect sensors. The Kinect Explorer provided with the Kinect SDK is a great starting point for exploring Kinect from a developers perspective. Both the X-Box 360 Kinect and the Windows Kinect will work with the Kinect SDK, the Windows Kinect is required for commercial applications, but the X-Box Kinect can be used for hobby projects. The Windows Kinect has the advantage of providing a mode to allow depth capture with objects closer to the camera, which makes for a more accurate depth image for setting the pin positions. Creating a Depth Field Animation The depth field animation used to set the positions of the pin in the pin board was created using a modified version of the Kinect Explorer sample application. In order to simulate the pin board accurately, a small section of the depth range from the depth sensor will be used. Any part of the object in front of the depth range will result in a white pixel; anything behind the depth range will be black. Within the depth range the pixels in the image will be set to RGB values from 0,0,0 to 255,255,255. A screen shot of the modified Kinect Explorer application is shown below. The Kinect Explorer sample application was modified to include slider controls that are used to set the depth range that forms the image from the depth stream. This allows the fine tuning of the depth image that is required for simulating the position of the pins in the pin board. The Kinect Explorer was also modified to record a series of images from the depth camera and save them as a sequence JPEG files that will be used to animate the pins in the animation the Start and Stop buttons are used to start and stop the image recording. En example of one of the depth images is shown below. Once a series of 2,000 depth images has been captured, the task of creating the animation can begin. Rendering a Test Frame In order to test the creation of frames and get an approximation of the time required to render each frame a test frame was rendered on-premise using PolyRay. The output of the rendering process is shown below. The test frame contained 23,629 primitive shapes, most of which are the spheres and cylinders that are used for the 11,800 or so pins in the pin board. The 1280x720 image contains 921,600 pixels, but as anti-aliasing was used the number of rays that were calculated was 4,235,777, with 3,478,754,073 object boundaries checked. The test frame of the pin board with the depth field image applied is shown below. The tracing time for the test frame was 4 minutes 27 seconds, which means rendering the2,000 frames in the animation would take over 148 hours, or a little over 6 days. Although this is much faster that an old 486, waiting almost a week to see the results of an animation would make it challenging for animators to create, view, and refine their animations. It would be much better if the animation could be rendered in less than one hour. Windows Azure Worker Roles The cost of creating an on-premise render farm to render animations increases in proportion to the number of servers. The table below shows the cost of servers for creating a render farm, assuming a cost of $500 per server. Number of Servers Cost 1 $500 16 $8,000 256 $128,000   As well as the cost of the servers, there would be additional costs for networking, racks etc. Hosting an environment of 256 servers on-premise would require a server room with cooling, and some pretty hefty power cabling. The Windows Azure compute services provide worker roles, which are ideal for performing processor intensive compute tasks. With the scalability available in Windows Azure a job that takes 256 hours to complete could be perfumed using different numbers of worker roles. The time and cost of using 1, 16 or 256 worker roles is shown below. Number of Worker Roles Render Time Cost 1 256 hours $30.72 16 16 hours $30.72 256 1 hour $30.72   Using worker roles in Windows Azure provides the same cost for the 256 hour job, irrespective of the number of worker roles used. Provided the compute task can be broken down into many small units, and the worker role compute power can be used effectively, it makes sense to scale the application so that the task is completed quickly, making the results available in a timely fashion. The task of rendering 2,000 frames in an animation is one that can easily be broken down into 2,000 individual pieces, which can be performed by a number of worker roles. Creating a Render Farm in Windows Azure The architecture of the render farm is shown in the following diagram. The render farm is a hybrid application with the following components: ·         On-Premise o   Windows Kinect – Used combined with the Kinect Explorer to create a stream of depth images. o   Animation Creator – This application uses the depth images from the Kinect sensor to create scene description files for PolyRay. These files are then uploaded to the jobs blob container, and job messages added to the jobs queue. o   Process Monitor – This application queries the role instance lifecycle table and displays statistics about the render farm environment and render process. o   Image Downloader – This application polls the image queue and downloads the rendered animation files once they are complete. ·         Windows Azure o   Azure Storage – Queues and blobs are used for the scene description files and completed frames. A table is used to store the statistics about the rendering environment.   The architecture of each worker role is shown below.   The worker role is configured to use local storage, which provides file storage on the worker role instance that can be use by the applications to render the image and transform the format of the image. The service definition for the worker role with the local storage configuration highlighted is shown below. <?xml version="1.0" encoding="utf-8"?> <ServiceDefinition name="CloudRay" >   <WorkerRole name="CloudRayWorkerRole" vmsize="Small">     <Imports>     </Imports>     <ConfigurationSettings>       <Setting name="DataConnectionString" />     </ConfigurationSettings>     <LocalResources>       <LocalStorage name="RayFolder" cleanOnRoleRecycle="true" />     </LocalResources>   </WorkerRole> </ServiceDefinition>     The two executable programs, PolyRay.exe and DTA.exe are included in the Azure project, with Copy Always set as the property. PolyRay will take the scene description file and render it to a Truevision TGA file. As the TGA format has not seen much use since the mid 90’s it is converted to a JPG image using Dave's Targa Animator, another shareware application from the 90’s. Each worker roll will use the following process to render the animation frames. 1.       The worker process polls the job queue, if a job is available the scene description file is downloaded from blob storage to local storage. 2.       PolyRay.exe is started in a process with the appropriate command line arguments to render the image as a TGA file. 3.       DTA.exe is started in a process with the appropriate command line arguments convert the TGA file to a JPG file. 4.       The JPG file is uploaded from local storage to the images blob container. 5.       A message is placed on the images queue to indicate a new image is available for download. 6.       The job message is deleted from the job queue. 7.       The role instance lifecycle table is updated with statistics on the number of frames rendered by the worker role instance, and the CPU time used. The code for this is shown below. public override void Run() {     // Set environment variables     string polyRayPath = Path.Combine(Environment.GetEnvironmentVariable("RoleRoot"), PolyRayLocation);     string dtaPath = Path.Combine(Environment.GetEnvironmentVariable("RoleRoot"), DTALocation);       LocalResource rayStorage = RoleEnvironment.GetLocalResource("RayFolder");     string localStorageRootPath = rayStorage.RootPath;       JobQueue jobQueue = new JobQueue("renderjobs");     JobQueue downloadQueue = new JobQueue("renderimagedownloadjobs");     CloudRayBlob sceneBlob = new CloudRayBlob("scenes");     CloudRayBlob imageBlob = new CloudRayBlob("images");     RoleLifecycleDataSource roleLifecycleDataSource = new RoleLifecycleDataSource();       Frames = 0;       while (true)     {         // Get the render job from the queue         CloudQueueMessage jobMsg = jobQueue.Get();           if (jobMsg != null)         {             // Get the file details             string sceneFile = jobMsg.AsString;             string tgaFile = sceneFile.Replace(".pi", ".tga");             string jpgFile = sceneFile.Replace(".pi", ".jpg");               string sceneFilePath = Path.Combine(localStorageRootPath, sceneFile);             string tgaFilePath = Path.Combine(localStorageRootPath, tgaFile);             string jpgFilePath = Path.Combine(localStorageRootPath, jpgFile);               // Copy the scene file to local storage             sceneBlob.DownloadFile(sceneFilePath);               // Run the ray tracer.             string polyrayArguments =                 string.Format("\"{0}\" -o \"{1}\" -a 2", sceneFilePath, tgaFilePath);             Process polyRayProcess = new Process();             polyRayProcess.StartInfo.FileName =                 Path.Combine(Environment.GetEnvironmentVariable("RoleRoot"), polyRayPath);             polyRayProcess.StartInfo.Arguments = polyrayArguments;             polyRayProcess.Start();             polyRayProcess.WaitForExit();               // Convert the image             string dtaArguments =                 string.Format(" {0} /FJ /P{1}", tgaFilePath, Path.GetDirectoryName (jpgFilePath));             Process dtaProcess = new Process();             dtaProcess.StartInfo.FileName =                 Path.Combine(Environment.GetEnvironmentVariable("RoleRoot"), dtaPath);             dtaProcess.StartInfo.Arguments = dtaArguments;             dtaProcess.Start();             dtaProcess.WaitForExit();               // Upload the image to blob storage             imageBlob.UploadFile(jpgFilePath);               // Add a download job.             downloadQueue.Add(jpgFile);               // Delete the render job message             jobQueue.Delete(jobMsg);               Frames++;         }         else         {             Thread.Sleep(1000);         }           // Log the worker role activity.         roleLifecycleDataSource.Alive             ("CloudRayWorker", RoleLifecycleDataSource.RoleLifecycleId, Frames);     } }     Monitoring Worker Role Instance Lifecycle In order to get more accurate statistics about the lifecycle of the worker role instances used to render the animation data was tracked in an Azure storage table. The following class was used to track the worker role lifecycles in Azure storage.   public class RoleLifecycle : TableServiceEntity {     public string ServerName { get; set; }     public string Status { get; set; }     public DateTime StartTime { get; set; }     public DateTime EndTime { get; set; }     public long SecondsRunning { get; set; }     public DateTime LastActiveTime { get; set; }     public int Frames { get; set; }     public string Comment { get; set; }       public RoleLifecycle()     {     }       public RoleLifecycle(string roleName)     {         PartitionKey = roleName;         RowKey = Utils.GetAscendingRowKey();         Status = "Started";         StartTime = DateTime.UtcNow;         LastActiveTime = StartTime;         EndTime = StartTime;         SecondsRunning = 0;         Frames = 0;     } }     A new instance of this class is created and added to the storage table when the role starts. It is then updated each time the worker renders a frame to record the total number of frames rendered and the total processing time. These statistics are used be the monitoring application to determine the effectiveness of use of resources in the render farm. Rendering the Animation The Azure solution was deployed to Windows Azure with the service configuration set to 16 worker role instances. This allows for the application to be tested in the cloud environment, and the performance of the application determined. When I demo the application at conferences and user groups I often start with 16 instances, and then scale up the application to the full 256 instances. The configuration to run 16 instances is shown below. <?xml version="1.0" encoding="utf-8"?> <ServiceConfiguration serviceName="CloudRay" xmlns="http://schemas.microsoft.com/ServiceHosting/2008/10/ServiceConfiguration" osFamily="1" osVersion="*">   <Role name="CloudRayWorkerRole">     <Instances count="16" />     <ConfigurationSettings>       <Setting name="DataConnectionString"         value="DefaultEndpointsProtocol=https;AccountName=cloudraydata;AccountKey=..." />     </ConfigurationSettings>   </Role> </ServiceConfiguration>     About six minutes after deploying the application the first worker roles become active and start to render the first frames of the animation. The CloudRay Monitor application displays an icon for each worker role instance, with a number indicating the number of frames that the worker role has rendered. The statistics on the left show the number of active worker roles and statistics about the render process. The render time is the time since the first worker role became active; the CPU time is the total amount of processing time used by all worker role instances to render the frames.   Five minutes after the first worker role became active the last of the 16 worker roles activated. By this time the first seven worker roles had each rendered one frame of the animation.   With 16 worker roles u and running it can be seen that one hour and 45 minutes CPU time has been used to render 32 frames with a render time of just under 10 minutes.     At this rate it would take over 10 hours to render the 2,000 frames of the full animation. In order to complete the animation in under an hour more processing power will be required. Scaling the render farm from 16 instances to 256 instances is easy using the new management portal. The slider is set to 256 instances, and the configuration saved. We do not need to re-deploy the application, and the 16 instances that are up and running will not be affected. Alternatively, the configuration file for the Azure service could be modified to specify 256 instances.   <?xml version="1.0" encoding="utf-8"?> <ServiceConfiguration serviceName="CloudRay" xmlns="http://schemas.microsoft.com/ServiceHosting/2008/10/ServiceConfiguration" osFamily="1" osVersion="*">   <Role name="CloudRayWorkerRole">     <Instances count="256" />     <ConfigurationSettings>       <Setting name="DataConnectionString"         value="DefaultEndpointsProtocol=https;AccountName=cloudraydata;AccountKey=..." />     </ConfigurationSettings>   </Role> </ServiceConfiguration>     Six minutes after the new configuration has been applied 75 new worker roles have activated and are processing their first frames.   Five minutes later the full configuration of 256 worker roles is up and running. We can see that the average rate of frame rendering has increased from 3 to 12 frames per minute, and that over 17 hours of CPU time has been utilized in 23 minutes. In this test the time to provision 140 worker roles was about 11 minutes, which works out at about one every five seconds.   We are now half way through the rendering, with 1,000 frames complete. This has utilized just under three days of CPU time in a little over 35 minutes.   The animation is now complete, with 2,000 frames rendered in a little over 52 minutes. The CPU time used by the 256 worker roles is 6 days, 7 hours and 22 minutes with an average frame rate of 38 frames per minute. The rendering of the last 1,000 frames took 16 minutes 27 seconds, which works out at a rendering rate of 60 frames per minute. The frame counts in the server instances indicate that the use of a queue to distribute the workload has been very effective in distributing the load across the 256 worker role instances. The first 16 instances that were deployed first have rendered between 11 and 13 frames each, whilst the 240 instances that were added when the application was scaled have rendered between 6 and 9 frames each.   Completed Animation I’ve uploaded the completed animation to YouTube, a low resolution preview is shown below. Pin Board Animation Created using Windows Kinect and 256 Windows Azure Worker Roles   The animation can be viewed in 1280x720 resolution at the following link: http://www.youtube.com/watch?v=n5jy6bvSxWc Effective Use of Resources According to the CloudRay monitor statistics the animation took 6 days, 7 hours and 22 minutes CPU to render, this works out at 152 hours of compute time, rounded up to the nearest hour. As the usage for the worker role instances are billed for the full hour, it may have been possible to render the animation using fewer than 256 worker roles. When deciding the optimal usage of resources, the time required to provision and start the worker roles must also be considered. In the demo I started with 16 worker roles, and then scaled the application to 256 worker roles. It would have been more optimal to start the application with maybe 200 worker roles, and utilized the full hour that I was being billed for. This would, however, have prevented showing the ease of scalability of the application. The new management portal displays the CPU usage across the worker roles in the deployment. The average CPU usage across all instances is 93.27%, with over 99% used when all the instances are up and running. This shows that the worker role resources are being used very effectively. Grid Computing Scenarios Although I am using this scenario for a hobby project, there are many scenarios where a large amount of compute power is required for a short period of time. Windows Azure provides a great platform for developing these types of grid computing applications, and can work out very cost effective. ·         Windows Azure can provide massive compute power, on demand, in a matter of minutes. ·         The use of queues to manage the load balancing of jobs between role instances is a simple and effective solution. ·         Using a cloud-computing platform like Windows Azure allows proof-of-concept scenarios to be tested and evaluated on a very low budget. ·         No charges for inbound data transfer makes the uploading of large data sets to Windows Azure Storage services cost effective. (Transaction charges still apply.) Tips for using Windows Azure for Grid Computing Scenarios I found the implementation of a render farm using Windows Azure a fairly simple scenario to implement. I was impressed by ease of scalability that Azure provides, and by the short time that the application took to scale from 16 to 256 worker role instances. In this case it was around 13 minutes, in other tests it took between 10 and 20 minutes. The following tips may be useful when implementing a grid computing project in Windows Azure. ·         Using an Azure Storage queue to load-balance the units of work across multiple worker roles is simple and very effective. The design I have used in this scenario could easily scale to many thousands of worker role instances. ·         Windows Azure accounts are typically limited to 20 cores. If you need to use more than this, a call to support and a credit card check will be required. ·         Be aware of how the billing model works. You will be charged for worker role instances for the full clock our in which the instance is deployed. Schedule the workload to start just after the clock hour has started. ·         Monitor the utilization of the resources you are provisioning, ensure that you are not paying for worker roles that are idle. ·         If you are deploying third party applications to worker roles, you may well run into licensing issues. Purchasing software licenses on a per-processor basis when using hundreds of processors for a short time period would not be cost effective. ·         Third party software may also require installation onto the worker roles, which can be accomplished using start-up tasks. Bear in mind that adding a startup task and possible re-boot will add to the time required for the worker role instance to start and activate. An alternative may be to use a prepared VM and use VM roles. ·         Consider using the Windows Azure Autoscaling Application Block (WASABi) to autoscale the worker roles in your application. When using a large number of worker roles, the utilization must be carefully monitored, if the scaling algorithms are not optimal it could get very expensive!

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  • Using R to Analyze G1GC Log Files

    - by user12620111
    Using R to Analyze G1GC Log Files body, td { font-family: sans-serif; background-color: white; font-size: 12px; margin: 8px; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Monaco, monospace; } h1 { font-size:2.2em; } h2 { font-size:1.8em; } h3 { font-size:1.4em; } h4 { font-size:1.0em; } h5 { font-size:0.9em; } h6 { font-size:0.8em; } a:visited { color: rgb(50%, 0%, 50%); } pre { margin-top: 0; max-width: 95%; border: 1px solid #ccc; white-space: pre-wrap; } pre code { display: block; padding: 0.5em; } code.r, code.cpp { background-color: #F8F8F8; } table, td, th { border: none; } blockquote { color:#666666; margin:0; padding-left: 1em; border-left: 0.5em #EEE solid; } hr { height: 0px; border-bottom: none; border-top-width: thin; border-top-style: dotted; border-top-color: #999999; } @media print { * { background: transparent !important; color: black !important; filter:none !important; -ms-filter: none !important; } body { 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  Using R to Analyze G1GC Log Files   Using R to Analyze G1GC Log Files Introduction Working in Oracle Platform Integration gives an engineer opportunities to work on a wide array of technologies. My team’s goal is to make Oracle applications run best on the Solaris/SPARC platform. When looking for bottlenecks in a modern applications, one needs to be aware of not only how the CPUs and operating system are executing, but also network, storage, and in some cases, the Java Virtual Machine. I was recently presented with about 1.5 GB of Java Garbage First Garbage Collector log file data. If you’re not familiar with the subject, you might want to review Garbage First Garbage Collector Tuning by Monica Beckwith. The customer had been running Java HotSpot 1.6.0_31 to host a web application server. I was told that the Solaris/SPARC server was running a Java process launched using a commmand line that included the following flags: -d64 -Xms9g -Xmx9g -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=80 -XX:PermSize=256m -XX:MaxPermSize=256m -XX:+PrintGC -XX:+PrintGCTimeStamps -XX:+PrintHeapAtGC -XX:+PrintGCDateStamps -XX:+PrintFlagsFinal -XX:+DisableExplicitGC -XX:+UnlockExperimentalVMOptions -XX:ParallelGCThreads=8 Several sources on the internet indicate that if I were to print out the 1.5 GB of log files, it would require enough paper to fill the bed of a pick up truck. Of course, it would be fruitless to try to scan the log files by hand. Tools will be required to summarize the contents of the log files. Others have encountered large Java garbage collection log files. There are existing tools to analyze the log files: IBM’s GC toolkit The chewiebug GCViewer gchisto HPjmeter Instead of using one of the other tools listed, I decide to parse the log files with standard Unix tools, and analyze the data with R. Data Cleansing The log files arrived in two different formats. I guess that the difference is that one set of log files was generated using a more verbose option, maybe -XX:+PrintHeapAtGC, and the other set of log files was generated without that option. Format 1 In some of the log files, the log files with the less verbose format, a single trace, i.e. the report of a singe garbage collection event, looks like this: {Heap before GC invocations=12280 (full 61): garbage-first heap total 9437184K, used 7499918K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 1 young (4096K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. 2014-05-14T07:24:00.988-0700: 60586.353: [GC pause (young) 7324M->7320M(9216M), 0.1567265 secs] Heap after GC invocations=12281 (full 61): garbage-first heap total 9437184K, used 7496533K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 0 young (0K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. } A simple grep can be used to extract a summary: $ grep "\[ GC pause (young" g1gc.log 2014-05-13T13:24:35.091-0700: 3.109: [GC pause (young) 20M->5029K(9216M), 0.0146328 secs] 2014-05-13T13:24:35.440-0700: 3.459: [GC pause (young) 9125K->6077K(9216M), 0.0086723 secs] 2014-05-13T13:24:37.581-0700: 5.599: [GC pause (young) 25M->8470K(9216M), 0.0203820 secs] 2014-05-13T13:24:42.686-0700: 10.704: [GC pause (young) 44M->15M(9216M), 0.0288848 secs] 2014-05-13T13:24:48.941-0700: 16.958: [GC pause (young) 51M->20M(9216M), 0.0491244 secs] 2014-05-13T13:24:56.049-0700: 24.066: [GC pause (young) 92M->26M(9216M), 0.0525368 secs] 2014-05-13T13:25:34.368-0700: 62.383: [GC pause (young) 602M->68M(9216M), 0.1721173 secs] But that format wasn't easily read into R, so I needed to be a bit more tricky. I used the following Unix command to create a summary file that was easy for R to read. $ echo "SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime" $ grep "\[GC pause (young" g1gc.log | grep -v mark | sed -e 's/[A-SU-z\(\),]/ /g' -e 's/->/ /' -e 's/: / /g' | more SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime 2014-05-13T13:24:35.091-0700 3.109 20 5029 9216 0.0146328 2014-05-13T13:24:35.440-0700 3.459 9125 6077 9216 0.0086723 2014-05-13T13:24:37.581-0700 5.599 25 8470 9216 0.0203820 2014-05-13T13:24:42.686-0700 10.704 44 15 9216 0.0288848 2014-05-13T13:24:48.941-0700 16.958 51 20 9216 0.0491244 2014-05-13T13:24:56.049-0700 24.066 92 26 9216 0.0525368 2014-05-13T13:25:34.368-0700 62.383 602 68 9216 0.1721173 Format 2 In some of the log files, the log files with the more verbose format, a single trace, i.e. the report of a singe garbage collection event, was more complicated than Format 1. Here is a text file with an example of a single G1GC trace in the second format. As you can see, it is quite complicated. It is nice that there is so much information available, but the level of detail can be overwhelming. I wrote this awk script (download) to summarize each trace on a single line. #!/usr/bin/env awk -f BEGIN { printf("SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize\n") } ###################### # Save count data from lines that are at the start of each G1GC trace. # Each trace starts out like this: # {Heap before GC invocations=14 (full 0): # garbage-first heap total 9437184K, used 325496K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) ###################### /{Heap.*full/{ gsub ( "\\)" , "" ); nf=split($0,a,"="); split(a[2],b," "); getline; if ( match($0, "first") ) { G1GC=1; IncrementalCount=b[1]; FullCount=substr( b[3], 1, length(b[3])-1 ); } else { G1GC=0; } } ###################### # Pull out time stamps that are in lines with this format: # 2014-05-12T14:02:06.025-0700: 94.312: [GC pause (young), 0.08870154 secs] ###################### /GC pause/ { DateTime=$1; SecondsSinceLaunch=substr($2, 1, length($2)-1); } ###################### # Heap sizes are in lines that look like this: # [ 4842M->4838M(9216M)] ###################### /\[ .*]$/ { gsub ( "\\[" , "" ); gsub ( "\ \]" , "" ); gsub ( "->" , " " ); gsub ( "\\( " , " " ); gsub ( "\ \)" , " " ); split($0,a," "); if ( split(a[1],b,"M") > 1 ) {BeforeSize=b[1]*1024;} if ( split(a[1],b,"K") > 1 ) {BeforeSize=b[1];} if ( split(a[2],b,"M") > 1 ) {AfterSize=b[1]*1024;} if ( split(a[2],b,"K") > 1 ) {AfterSize=b[1];} if ( split(a[3],b,"M") > 1 ) {TotalSize=b[1]*1024;} if ( split(a[3],b,"K") > 1 ) {TotalSize=b[1];} } ###################### # Emit an output line when you find input that looks like this: # [Times: user=1.41 sys=0.08, real=0.24 secs] ###################### /\[Times/ { if (G1GC==1) { gsub ( "," , "" ); split($2,a,"="); UserTime=a[2]; split($3,a,"="); SysTime=a[2]; split($4,a,"="); RealTime=a[2]; print DateTime,SecondsSinceLaunch,IncrementalCount,FullCount,UserTime,SysTime,RealTime,BeforeSize,AfterSize,TotalSize; G1GC=0; } } The resulting summary is about 25X smaller that the original file, but still difficult for a human to digest. SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ... 2014-05-12T18:36:34.669-0700: 3985.744 561 0 0.57 0.06 0.16 1724416 1720320 9437184 2014-05-12T18:36:34.839-0700: 3985.914 562 0 0.51 0.06 0.19 1724416 1720320 9437184 2014-05-12T18:36:35.069-0700: 3986.144 563 0 0.60 0.04 0.27 1724416 1721344 9437184 2014-05-12T18:36:35.354-0700: 3986.429 564 0 0.33 0.04 0.09 1725440 1722368 9437184 2014-05-12T18:36:35.545-0700: 3986.620 565 0 0.58 0.04 0.17 1726464 1722368 9437184 2014-05-12T18:36:35.726-0700: 3986.801 566 0 0.43 0.05 0.12 1726464 1722368 9437184 2014-05-12T18:36:35.856-0700: 3986.930 567 0 0.30 0.04 0.07 1726464 1723392 9437184 2014-05-12T18:36:35.947-0700: 3987.023 568 0 0.61 0.04 0.26 1727488 1723392 9437184 2014-05-12T18:36:36.228-0700: 3987.302 569 0 0.46 0.04 0.16 1731584 1724416 9437184 Reading the Data into R Once the GC log data had been cleansed, either by processing the first format with the shell script, or by processing the second format with the awk script, it was easy to read the data into R. g1gc.df = read.csv("summary.txt", row.names = NULL, stringsAsFactors=FALSE,sep="") str(g1gc.df) ## 'data.frame': 8307 obs. of 10 variables: ## $ row.names : chr "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ... ## $ SecondsSinceLaunch: num 1.16 1.47 1.97 3.83 6.1 ... ## $ IncrementalCount : int 0 1 2 3 4 5 6 7 8 9 ... ## $ FullCount : int 0 0 0 0 0 0 0 0 0 0 ... ## $ UserTime : num 0.11 0.05 0.04 0.21 0.08 0.26 0.31 0.33 0.34 0.56 ... ## $ SysTime : num 0.04 0.01 0.01 0.05 0.01 0.06 0.07 0.06 0.07 0.09 ... ## $ RealTime : num 0.02 0.02 0.01 0.04 0.02 0.04 0.05 0.04 0.04 0.06 ... ## $ BeforeSize : int 8192 5496 5768 22528 24576 43008 34816 53248 55296 93184 ... ## $ AfterSize : int 1400 1672 2557 4907 7072 14336 16384 18432 19456 21504 ... ## $ TotalSize : int 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 ... head(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount ## 1 2014-05-12T14:00:32.868-0700: 1.161 0 ## 2 2014-05-12T14:00:33.179-0700: 1.472 1 ## 3 2014-05-12T14:00:33.677-0700: 1.969 2 ## 4 2014-05-12T14:00:35.538-0700: 3.830 3 ## 5 2014-05-12T14:00:37.811-0700: 6.103 4 ## 6 2014-05-12T14:00:41.428-0700: 9.720 5 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 1 0 0.11 0.04 0.02 8192 1400 9437184 ## 2 0 0.05 0.01 0.02 5496 1672 9437184 ## 3 0 0.04 0.01 0.01 5768 2557 9437184 ## 4 0 0.21 0.05 0.04 22528 4907 9437184 ## 5 0 0.08 0.01 0.02 24576 7072 9437184 ## 6 0 0.26 0.06 0.04 43008 14336 9437184 Basic Statistics Once the data has been read into R, simple statistics are very easy to generate. All of the numbers from high school statistics are available via simple commands. For example, generate a summary of every column: summary(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount FullCount ## Length:8307 Min. : 1 Min. : 0 Min. : 0.0 ## Class :character 1st Qu.: 9977 1st Qu.:2048 1st Qu.: 0.0 ## Mode :character Median :12855 Median :4136 Median : 12.0 ## Mean :12527 Mean :4156 Mean : 31.6 ## 3rd Qu.:15758 3rd Qu.:6262 3rd Qu.: 61.0 ## Max. :55484 Max. :8391 Max. :113.0 ## UserTime SysTime RealTime BeforeSize ## Min. :0.040 Min. :0.0000 Min. : 0.0 Min. : 5476 ## 1st Qu.:0.470 1st Qu.:0.0300 1st Qu.: 0.1 1st Qu.:5137920 ## Median :0.620 Median :0.0300 Median : 0.1 Median :6574080 ## Mean :0.751 Mean :0.0355 Mean : 0.3 Mean :5841855 ## 3rd Qu.:0.920 3rd Qu.:0.0400 3rd Qu.: 0.2 3rd Qu.:7084032 ## Max. :3.370 Max. :1.5600 Max. :488.1 Max. :8696832 ## AfterSize TotalSize ## Min. : 1380 Min. :9437184 ## 1st Qu.:5002752 1st Qu.:9437184 ## Median :6559744 Median :9437184 ## Mean :5785454 Mean :9437184 ## 3rd Qu.:7054336 3rd Qu.:9437184 ## Max. :8482816 Max. :9437184 Q: What is the total amount of User CPU time spent in garbage collection? sum(g1gc.df$UserTime) ## [1] 6236 As you can see, less than two hours of CPU time was spent in garbage collection. Is that too much? To find the percentage of time spent in garbage collection, divide the number above by total_elapsed_time*CPU_count. In this case, there are a lot of CPU’s and it turns out the the overall amount of CPU time spent in garbage collection isn’t a problem when viewed in isolation. When calculating rates, i.e. events per unit time, you need to ask yourself if the rate is homogenous across the time period in the log file. Does the log file include spikes of high activity that should be separately analyzed? Averaging in data from nights and weekends with data from business hours may alias problems. If you have a reason to suspect that the garbage collection rates include peaks and valleys that need independent analysis, see the “Time Series” section, below. Q: How much garbage is collected on each pass? The amount of heap space that is recovered per GC pass is surprisingly low: At least one collection didn’t recover any data. (“Min.=0”) 25% of the passes recovered 3MB or less. (“1st Qu.=3072”) Half of the GC passes recovered 4MB or less. (“Median=4096”) The average amount recovered was 56MB. (“Mean=56390”) 75% of the passes recovered 36MB or less. (“3rd Qu.=36860”) At least one pass recovered 2GB. (“Max.=2121000”) g1gc.df$Delta = g1gc.df$BeforeSize - g1gc.df$AfterSize summary(g1gc.df$Delta) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0 3070 4100 56400 36900 2120000 Q: What is the maximum User CPU time for a single collection? The worst garbage collection (“Max.”) is many standard deviations away from the mean. The data appears to be right skewed. summary(g1gc.df$UserTime) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.040 0.470 0.620 0.751 0.920 3.370 sd(g1gc.df$UserTime) ## [1] 0.3966 Basic Graphics Once the data is in R, it is trivial to plot the data with formats including dot plots, line charts, bar charts (simple, stacked, grouped), pie charts, boxplots, scatter plots histograms, and kernel density plots. Histogram of User CPU Time per Collection I don't think that this graph requires any explanation. hist(g1gc.df$UserTime, main="User CPU Time per Collection", xlab="Seconds", ylab="Frequency") Box plot to identify outliers When the initial data is viewed with a box plot, you can see the one crazy outlier in the real time per GC. Save this data point for future analysis and drop the outlier so that it’s not throwing off our statistics. Now the box plot shows many outliers, which will be examined later, using times series analysis. Notice that the scale of the x-axis changes drastically once the crazy outlier is removed. par(mfrow=c(2,1)) boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(dominated by a crazy outlier)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") crazy.outlier.df=g1gc.df[g1gc.df$RealTime > 400,] g1gc.df=g1gc.df[g1gc.df$RealTime < 400,] boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(crazy outlier excluded)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") box(which = "outer", lty = "solid") Here is the crazy outlier for future analysis: crazy.outlier.df ## row.names SecondsSinceLaunch IncrementalCount ## 8233 2014-05-12T23:15:43.903-0700: 20741 8316 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 8233 112 0.55 0.42 488.1 8381440 8235008 9437184 ## Delta ## 8233 146432 R Time Series Data To analyze the garbage collection as a time series, I’ll use Z’s Ordered Observations (zoo). “zoo is the creator for an S3 class of indexed totally ordered observations which includes irregular time series.” require(zoo) ## Loading required package: zoo ## ## Attaching package: 'zoo' ## ## The following objects are masked from 'package:base': ## ## as.Date, as.Date.numeric head(g1gc.df[,1]) ## [1] "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" ## [3] "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ## [5] "2014-05-12T14:00:37.811-0700:" "2014-05-12T14:00:41.428-0700:" options("digits.secs"=3) times=as.POSIXct( g1gc.df[,1], format="%Y-%m-%dT%H:%M:%OS%z:") g1gc.z = zoo(g1gc.df[,-c(1)], order.by=times) head(g1gc.z) ## SecondsSinceLaunch IncrementalCount FullCount ## 2014-05-12 17:00:32.868 1.161 0 0 ## 2014-05-12 17:00:33.178 1.472 1 0 ## 2014-05-12 17:00:33.677 1.969 2 0 ## 2014-05-12 17:00:35.538 3.830 3 0 ## 2014-05-12 17:00:37.811 6.103 4 0 ## 2014-05-12 17:00:41.427 9.720 5 0 ## UserTime SysTime RealTime BeforeSize AfterSize ## 2014-05-12 17:00:32.868 0.11 0.04 0.02 8192 1400 ## 2014-05-12 17:00:33.178 0.05 0.01 0.02 5496 1672 ## 2014-05-12 17:00:33.677 0.04 0.01 0.01 5768 2557 ## 2014-05-12 17:00:35.538 0.21 0.05 0.04 22528 4907 ## 2014-05-12 17:00:37.811 0.08 0.01 0.02 24576 7072 ## 2014-05-12 17:00:41.427 0.26 0.06 0.04 43008 14336 ## TotalSize Delta ## 2014-05-12 17:00:32.868 9437184 6792 ## 2014-05-12 17:00:33.178 9437184 3824 ## 2014-05-12 17:00:33.677 9437184 3211 ## 2014-05-12 17:00:35.538 9437184 17621 ## 2014-05-12 17:00:37.811 9437184 17504 ## 2014-05-12 17:00:41.427 9437184 28672 Example of Two Benchmark Runs in One Log File The data in the following graph is from a different log file, not the one of primary interest to this article. I’m including this image because it is an example of idle periods followed by busy periods. It would be uninteresting to average the rate of garbage collection over the entire log file period. More interesting would be the rate of garbage collect in the two busy periods. Are they the same or different? Your production data may be similar, for example, bursts when employees return from lunch and idle times on weekend evenings, etc. Once the data is in an R Time Series, you can analyze isolated time windows. Clipping the Time Series data Flashing back to our test case… Viewing the data as a time series is interesting. You can see that the work intensive time period is between 9:00 PM and 3:00 AM. Lets clip the data to the interesting period:     par(mfrow=c(2,1)) plot(g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Complete Log File", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") clipped.g1gc.z=window(g1gc.z, start=as.POSIXct("2014-05-12 21:00:00"), end=as.POSIXct("2014-05-13 03:00:00")) plot(clipped.g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Limited to Benchmark Execution", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") box(which = "outer", lty = "solid") Cumulative Incremental and Full GC count Here is the cumulative incremental and full GC count. When the line is very steep, it indicates that the GCs are repeating very quickly. Notice that the scale on the Y axis is different for full vs. incremental. plot(clipped.g1gc.z[,c(2:3)], main="Cumulative Incremental and Full GC count", xlab="Time of Day", col="#1b9e77") GC Analysis of Benchmark Execution using Time Series data In the following series of 3 graphs: The “After Size” show the amount of heap space in use after each garbage collection. Many Java objects are still referenced, i.e. alive, during each garbage collection. This may indicate that the application has a memory leak, or may indicate that the application has a very large memory footprint. Typically, an application's memory footprint plateau's in the early stage of execution. One would expect this graph to have a flat top. The steep decline in the heap space may indicate that the application crashed after 2:00. The second graph shows that the outliers in real execution time, discussed above, occur near 2:00. when the Java heap seems to be quite full. The third graph shows that Full GCs are infrequent during the first few hours of execution. The rate of Full GC's, (the slope of the cummulative Full GC line), changes near midnight.   plot(clipped.g1gc.z[,c("AfterSize","RealTime","FullCount")], xlab="Time of Day", col=c("#1b9e77","red","#1b9e77")) GC Analysis of heap recovered Each GC trace includes the amount of heap space in use before and after the individual GC event. During garbage coolection, unreferenced objects are identified, the space holding the unreferenced objects is freed, and thus, the difference in before and after usage indicates how much space has been freed. The following box plot and bar chart both demonstrate the same point - the amount of heap space freed per garbage colloection is surprisingly low. par(mfrow=c(2,1)) boxplot(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", horizontal = TRUE, col="red") hist(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", breaks=100, col="red") box(which = "outer", lty = "solid") This graph is the most interesting. The dark blue area shows how much heap is occupied by referenced Java objects. This represents memory that holds live data. The red fringe at the top shows how much data was recovered after each garbage collection. barplot(clipped.g1gc.z[,c("AfterSize","Delta")], col=c("#7570b3","#e7298a"), xlab="Time of Day", border=NA) legend("topleft", c("Live Objects","Heap Recovered on GC"), fill=c("#7570b3","#e7298a")) box(which = "outer", lty = "solid") When I discuss the data in the log files with the customer, I will ask for an explaination for the large amount of referenced data resident in the Java heap. There are two are posibilities: There is a memory leak and the amount of space required to hold referenced objects will continue to grow, limited only by the maximum heap size. After the maximum heap size is reached, the JVM will throw an “Out of Memory” exception every time that the application tries to allocate a new object. If this is the case, the aplication needs to be debugged to identify why old objects are referenced when they are no longer needed. The application has a legitimate requirement to keep a large amount of data in memory. The customer may want to further increase the maximum heap size. Another possible solution would be to partition the application across multiple cluster nodes, where each node has responsibility for managing a unique subset of the data. Conclusion In conclusion, R is a very powerful tool for the analysis of Java garbage collection log files. The primary difficulty is data cleansing so that information can be read into an R data frame. Once the data has been read into R, a rich set of tools may be used for thorough evaluation.

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  • Problems installing Memcache (PECL extension)

    - by Petrus
    I have installed memcached fine, and now I will need to install PECL extension memcache. Im running RedHat x86_64 es5. The installation gives me this: downloading memcache-2.2.6.tgz ... Starting to download memcache-2.2.6.tgz (35,957 bytes) ..........done: 35,957 bytes 11 source files, building running: phpize Configuring for: PHP Api Version: 20090626 Zend Module Api No: 20090626 Zend Extension Api No: 220090626 Enable memcache session handler support? [yes] : Notice: Use of undefined constant STDIN - assumed 'STDIN' in PEAR/Frontend/CLI.php on line 304 Warning: fgets() expects parameter 1 to be resource, string given in PEAR/Frontend/CLI.php on line 304 Warning: fgets() expects parameter 1 to be resource, string given in /usr/lib/php/PEAR/Frontend/CLI.php on line 304 building in /root/tmp/pear-build-root/memcache-2.2.6 running: /root/tmp/pear/memcache/configure --enable-memcache-session=yes checking for egrep... grep -E checking for a sed that does not truncate output... /bin/sed checking for cc... cc checking for C compiler default output file name... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no checking for suffix of executables... checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether cc accepts -g... yes checking for cc option to accept ANSI C... none needed checking how to run the C preprocessor... cc -E checking for icc... no checking for suncc... no checking whether cc understands -c and -o together... yes checking for system library directory... lib checking if compiler supports -R... no checking if compiler supports -Wl,-rpath,... yes checking build system type... x86_64-unknown-linux-gnu checking host system type... x86_64-unknown-linux-gnu checking target system type... x86_64-unknown-linux-gnu checking for PHP prefix... /usr checking for PHP includes... -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib checking for PHP extension directory... /usr/lib/php/extensions/no-debug-non-zts-20090626 checking for PHP installed headers prefix... /usr/include/php checking if debug is enabled... no checking if zts is enabled... no checking for re2c... re2c checking for re2c version... invalid configure: WARNING: You will need re2c 0.13.4 or later if you want to regenerate PHP parsers. checking for gawk... gawk checking whether to enable memcache support... yes, shared checking whether to enable memcache session handler support... yes checking for the location of ZLIB... no checking for the location of zlib... /usr checking for session includes... /usr/include/php checking for memcache session support... enabled checking for ld used by cc... /usr/bin/ld checking if the linker (/usr/bin/ld) is GNU ld... yes checking for /usr/bin/ld option to reload object files... -r checking for BSD-compatible nm... /usr/bin/nm -B checking whether ln -s works... yes checking how to recognize dependent libraries... pass_all checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking dlfcn.h usability... yes checking dlfcn.h presence... yes checking for dlfcn.h... yes checking the maximum length of command line arguments... 98304 checking command to parse /usr/bin/nm -B output from cc object... ok checking for objdir... .libs checking for ar... ar checking for ranlib... ranlib checking for strip... strip checking if cc supports -fno-rtti -fno-exceptions... no checking for cc option to produce PIC... -fPIC checking if cc PIC flag -fPIC works... yes checking if cc static flag -static works... yes checking if cc supports -c -o file.o... yes checking whether the cc linker (/usr/bin/ld -m elf_x86_64) supports shared libraries... yes checking whether -lc should be explicitly linked in... no checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking whether stripping libraries is possible... yes checking if libtool supports shared libraries... yes checking whether to build shared libraries... yes checking whether to build static libraries... no creating libtool appending configuration tag "CXX" to libtool configure: creating ./config.status config.status: creating config.h running: make /bin/sh /root/tmp/pear-build-root/memcache-2.2.6/libtool --mode=compile cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache.c -o memcache.lo mkdir .libs cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache.c -fPIC -DPIC -o .libs/memcache.o /bin/sh /root/tmp/pear-build-root/memcache-2.2.6/libtool --mode=compile cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_queue.c -o memcache_queue.lo cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_queue.c -fPIC -DPIC -o .libs/memcache_queue.o /bin/sh /root/tmp/pear-build-root/memcache-2.2.6/libtool --mode=compile cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_standard_hash.c -o memcache_standard_hash.lo cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_standard_hash.c -fPIC -DPIC -o .libs/memcache_standard_hash.o /bin/sh /root/tmp/pear-build-root/memcache-2.2.6/libtool --mode=compile cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_consistent_hash.c -o memcache_consistent_hash.lo cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_consistent_hash.c -fPIC -DPIC -o .libs/memcache_consistent_hash.o /bin/sh /root/tmp/pear-build-root/memcache-2.2.6/libtool --mode=compile cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_session.c -o memcache_session.lo cc -I/usr/include/php -I. -I/root/tmp/pear/memcache -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /root/tmp/pear/memcache/memcache_session.c -fPIC -DPIC -o .libs/memcache_session.o /bin/sh /root/tmp/pear-build-root/memcache-2.2.6/libtool --mode=link cc -DPHP_ATOM_INC -I/root/tmp/pear-build-root/memcache-2.2.6/include -I/root/tmp/pear-build-root/memcache-2.2.6/main -I/root/tmp/pear/memcache -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib -DHAVE_CONFIG_H -g -O2 -o memcache.la -export-dynamic -avoid-version -prefer-pic -module -rpath /root/tmp/pear-build-root/memcache-2.2.6/modules memcache.lo memcache_queue.lo memcache_standard_hash.lo memcache_consistent_hash.lo memcache_session.lo cc -shared .libs/memcache.o .libs/memcache_queue.o .libs/memcache_standard_hash.o .libs/memcache_consistent_hash.o .libs/memcache_session.o -Wl,-soname -Wl,memcache.so -o .libs/memcache.so creating memcache.la (cd .libs && rm -f memcache.la && ln -s ../memcache.la memcache.la) /bin/sh /root/tmp/pear-build-root/memcache-2.2.6/libtool --mode=install cp ./memcache.la /root/tmp/pear-build-root/memcache-2.2.6/modules cp ./.libs/memcache.so /root/tmp/pear-build-root/memcache-2.2.6/modules/memcache.so cp ./.libs/memcache.lai /root/tmp/pear-build-root/memcache-2.2.6/modules/memcache.la PATH="$PATH:/sbin" ldconfig -n /root/tmp/pear-build-root/memcache-2.2.6/modules ---------------------------------------------------------------------- Libraries have been installed in: /root/tmp/pear-build-root/memcache-2.2.6/modules If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,--rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- Build complete. Don't forget to run 'make test'. running: make INSTALL_ROOT="/root/tmp/pear-build-root/install-memcache-2.2.6" install Installing shared extensions: /root/tmp/pear-build-root/install-memcache-2.2.6/usr/lib/php/extensions/no-debug-non-zts-20090626/ running: find "/root/tmp/pear-build-root/install-memcache-2.2.6" | xargs ls -dils 361232 4 drwxr-xr-x 3 root root 4096 Jan 28 10:47 /root/tmp/pear-build-root/install-memcache-2.2.6 361263 4 drwxr-xr-x 3 root root 4096 Jan 28 10:47 /root/tmp/pear-build-root/install-memcache-2.2.6/usr 361264 4 drwxr-xr-x 3 root root 4096 Jan 28 10:47 /root/tmp/pear-build-root/install-memcache-2.2.6/usr/lib 361265 4 drwxr-xr-x 3 root root 4096 Jan 28 10:47 /root/tmp/pear-build-root/install-memcache-2.2.6/usr/lib/php 361266 4 drwxr-xr-x 3 root root 4096 Jan 28 10:47 /root/tmp/pear-build-root/install-memcache-2.2.6/usr/lib/php/extensions 361267 4 drwxr-xr-x 2 root root 4096 Jan 28 10:47 /root/tmp/pear-build-root/install-memcache-2.2.6/usr/lib/php/extensions/no-debug-non-zts-20090626 361262 236 -rwxr-xr-x 1 root root 235575 Jan 28 10:47 /root/tmp/pear-build-root/install-memcache-2.2.6/usr/lib/php/extensions/no-debug-non-zts-20090626/memcache.so Build process completed successfully Installing '/usr/lib/php/extensions/no-debug-non-zts-20090626/memcache.so' install ok: channel://pecl.php.net/memcache-2.2.6 Extension memcache enabled in php.ini The memcache.so object is not in /usr/local/lib/php/extensions/no-debug-non-zts-20090626 I tried as well to install this extension "memcached 1.0.2 (PHP extension for interfacing with memcached via libmemcached library)" but it failed: downloading memcached-1.0.2.tgz ... Starting to download memcached-1.0.2.tgz (22,724 bytes) ........done: 22,724 bytes 4 source files, building running: phpize Configuring for: PHP Api Version: 20090626 Zend Module Api No: 20090626 Zend Extension Api No: 220090626 building in /root/tmp/pear-build-root/memcached-1.0.2 running: /root/tmp/pear/memcached/configure checking for egrep... grep -E checking for a sed that does not truncate output... /bin/sed checking for cc... cc checking for C compiler default output file name... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no checking for suffix of executables... checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether cc accepts -g... yes checking for cc option to accept ANSI C... none needed checking how to run the C preprocessor... cc -E checking for icc... no checking for suncc... no checking whether cc understands -c and -o together... yes checking for system library directory... lib checking if compiler supports -R... no checking if compiler supports -Wl,-rpath,... yes checking build system type... x86_64-unknown-linux-gnu checking host system type... x86_64-unknown-linux-gnu checking target system type... x86_64-unknown-linux-gnu checking for PHP prefix... /usr checking for PHP includes... -I/usr/include/php -I/usr/include/php/main -I/usr/include/php/TSRM -I/usr/include/php/Zend -I/usr/include/php/ext -I/usr/include/php/ext/date/lib checking for PHP extension directory... /usr/lib/php/extensions/no-debug-non-zts-20090626 checking for PHP installed headers prefix... /usr/include/php checking if debug is enabled... no checking if zts is enabled... no checking for re2c... re2c checking for re2c version... invalid configure: WARNING: You will need re2c 0.13.4 or later if you want to regenerate PHP parsers. checking for gawk... gawk checking whether to enable memcached support... yes, shared checking for libmemcached... yes, shared checking whether to enable memcached session handler support... yes checking whether to enable memcached igbinary serializer support... no checking for ZLIB... yes, shared checking for zlib location... /usr checking for session includes... /usr/include/php checking for memcached session support... enabled checking for memcached igbinary support... disabled checking for libmemcached location... configure: error: memcached support requires libmemcached. Use --with-libmemcached-dir= to specify the prefix where libmemcached headers and library are located ERROR: `/root/tmp/pear/memcached/configure' failed The memcached.so object is not in /usr/local/lib/php/extensions/no-debug-non-zts-20090626 Is there a kind soul out there that can solve this puzzle?

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  • Setting up Mono/ASP.NET 4.0 on Apache2/Ubuntu: Virtual hosts?

    - by Dave
    I'm attempting to setup Mono/ASP.NET 4.0 on my Apache server (which is running on Ubuntu). Thus far, I've been following a few tutorials/scripts supplied here, and here. As of now: Apache 2.2 is installed (accessible via 'localhost') Mono 2.10.5 is installed However, I'm struggling to configure Apache correctly... apparently the Virtual Host setting isn't doing its job and invoking the mod_mono plugin, nor is it even pulling source from the proper directory. While the Virtual Host setting points to '\srv\www\localhost', it clearly is pulling content instead from 'var/www/', which I've found is the default DocumentRoot for virtual hosts. I can confirm: "/opt/mono-2.10/bin/mod-mono-server4" exists. Virtual hosts file is being read, since undoing the comment in the main httpd.conf changed the root directory from 'htdocs' to 'var/www/' The Mono installation is at least semi-capable of running ASP 4.0, as evidenced by running XSP, navigating to 0.0.0.0:8080/ and getting an ASP.NET style error page with "Mono ASP 4.0.x" at the bottom. Can anyone point out how to fix these configurations and get Mono linked up with Apache? Here are my configs and relevant information: /usr/local/apache2/conf/httpd.conf: # # This is the main Apache HTTP server configuration file. It contains the # configuration directives that give the server its instructions. # See <URL:http://httpd.apache.org/docs/2.2> for detailed information. # In particular, see # <URL:http://httpd.apache.org/docs/2.2/mod/directives.html> # for a discussion of each configuration directive. # # Do NOT simply read the instructions in here without understanding # what they do. They're here only as hints or reminders. If you are unsure # consult the online docs. You have been warned. # # Configuration and logfile names: If the filenames you specify for many # of the server's control files begin with "/" (or "drive:/" for Win32), the # server will use that explicit path. If the filenames do *not* begin # with "/", the value of ServerRoot is prepended -- so "logs/foo_log" # with ServerRoot set to "/usr/local/apache2" will be interpreted by the # server as "/usr/local/apache2/logs/foo_log". # # ServerRoot: The top of the directory tree under which the server's # configuration, error, and log files are kept. # # Do not add a slash at the end of the directory path. If you point # ServerRoot at a non-local disk, be sure to point the LockFile directive # at a local disk. If you wish to share the same ServerRoot for multiple # httpd daemons, you will need to change at least LockFile and PidFile. # ServerRoot "/usr/local/apache2" # # Listen: Allows you to bind Apache to specific IP addresses and/or # ports, instead of the default. See also the <VirtualHost> # directive. # # Change this to Listen on specific IP addresses as shown below to # prevent Apache from glomming onto all bound IP addresses. # #Listen 12.34.56.78:80 Listen 80 # # Dynamic Shared Object (DSO) Support # # To be able to use the functionality of a module which was built as a DSO you # have to place corresponding `LoadModule' lines at this location so the # directives contained in it are actually available _before_ they are used. # Statically compiled modules (those listed by `httpd -l') do not need # to be loaded here. # # Example: # LoadModule foo_module modules/mod_foo.so # <IfModule !mpm_netware_module> <IfModule !mpm_winnt_module> # # If you wish httpd to run as a different user or group, you must run # httpd as root initially and it will switch. # # User/Group: The name (or #number) of the user/group to run httpd as. # It is usually good practice to create a dedicated user and group for # running httpd, as with most system services. # User daemon Group daemon </IfModule> </IfModule> # 'Main' server configuration # # The directives in this section set up the values used by the 'main' # server, which responds to any requests that aren't handled by a # <VirtualHost> definition. These values also provide defaults for # any <VirtualHost> containers you may define later in the file. # # All of these directives may appear inside <VirtualHost> containers, # in which case these default settings will be overridden for the # virtual host being defined. # # # ServerAdmin: Your address, where problems with the server should be # e-mailed. This address appears on some server-generated pages, such # as error documents. e.g. [email protected] # ServerAdmin david@localhost # # ServerName gives the name and port that the server uses to identify itself. # This can often be determined automatically, but we recommend you specify # it explicitly to prevent problems during startup. # # If your host doesn't have a registered DNS name, enter its IP address here. # ServerName localhost:80 # # DocumentRoot: The directory out of which you will serve your # documents. By default, all requests are taken from this directory, but # symbolic links and aliases may be used to point to other locations. # DocumentRoot "/usr/local/apache2/htdocs" # # Each directory to which Apache has access can be configured with respect # to which services and features are allowed and/or disabled in that # directory (and its subdirectories). # # First, we configure the "default" to be a very restrictive set of # features. # <Directory /> Options FollowSymLinks AllowOverride None Order deny,allow Deny from all </Directory> # # Note that from this point forward you must specifically allow # particular features to be enabled - so if something's not working as # you might expect, make sure that you have specifically enabled it # below. # # # This should be changed to whatever you set DocumentRoot to. # <Directory "/usr/local/apache2/htdocs"> # # Possible values for the Options directive are "None", "All", # or any combination of: # Indexes Includes FollowSymLinks SymLinksifOwnerMatch ExecCGI MultiViews # # Note that "MultiViews" must be named *explicitly* --- "Options All" # doesn't give it to you. # # The Options directive is both complicated and important. Please see # http://httpd.apache.org/docs/2.2/mod/core.html#options # for more information. # Options Indexes FollowSymLinks # # AllowOverride controls what directives may be placed in .htaccess files. # It can be "All", "None", or any combination of the keywords: # Options FileInfo AuthConfig Limit # AllowOverride None # # Controls who can get stuff from this server. # Order allow,deny Allow from all </Directory> # # DirectoryIndex: sets the file that Apache will serve if a directory # is requested. # <IfModule dir_module> DirectoryIndex index.html </IfModule> # # The following lines prevent .htaccess and .htpasswd files from being # viewed by Web clients. # <FilesMatch "^\.ht"> Order allow,deny Deny from all Satisfy All </FilesMatch> # # ErrorLog: The location of the error log file. # If you do not specify an ErrorLog directive within a <VirtualHost> # container, error messages relating to that virtual host will be # logged here. If you *do* define an error logfile for a <VirtualHost> # container, that host's errors will be logged there and not here. # ErrorLog "logs/error_log" # # LogLevel: Control the number of messages logged to the error_log. # Possible values include: debug, info, notice, warn, error, crit, # alert, emerg. # LogLevel warn <IfModule log_config_module> # # The following directives define some format nicknames for use with # a CustomLog directive (see below). # LogFormat "%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\"" combined LogFormat "%h %l %u %t \"%r\" %>s %b" common <IfModule logio_module> # You need to enable mod_logio.c to use %I and %O LogFormat "%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\" %I %O" combinedio </IfModule> # # The location and format of the access logfile (Common Logfile Format). # If you do not define any access logfiles within a <VirtualHost> # container, they will be logged here. Contrariwise, if you *do* # define per-<VirtualHost> access logfiles, transactions will be # logged therein and *not* in this file. # CustomLog "logs/access_log" common # # If you prefer a logfile with access, agent, and referer information # (Combined Logfile Format) you can use the following directive. # #CustomLog "logs/access_log" combined </IfModule> <IfModule alias_module> # # Redirect: Allows you to tell clients about documents that used to # exist in your server's namespace, but do not anymore. The client # will make a new request for the document at its new location. # Example: # Redirect permanent /foo http://www.example.com/bar # # Alias: Maps web paths into filesystem paths and is used to # access content that does not live under the DocumentRoot. # Example: # Alias /webpath /full/filesystem/path # # If you include a trailing / on /webpath then the server will # require it to be present in the URL. You will also likely # need to provide a <Directory> section to allow access to # the filesystem path. # # ScriptAlias: This controls which directories contain server scripts. # ScriptAliases are essentially the same as Aliases, except that # documents in the target directory are treated as applications and # run by the server when requested rather than as documents sent to the # client. The same rules about trailing "/" apply to ScriptAlias # directives as to Alias. # ScriptAlias /cgi-bin/ "/usr/local/apache2/cgi-bin/" </IfModule> <IfModule cgid_module> # # ScriptSock: On threaded servers, designate the path to the UNIX # socket used to communicate with the CGI daemon of mod_cgid. # #Scriptsock logs/cgisock </IfModule> # # "/usr/local/apache2/cgi-bin" should be changed to whatever your ScriptAliased # CGI directory exists, if you have that configured. # <Directory "/usr/local/apache2/cgi-bin"> AllowOverride None Options None Order allow,deny Allow from all </Directory> # # DefaultType: the default MIME type the server will use for a document # if it cannot otherwise determine one, such as from filename extensions. # If your server contains mostly text or HTML documents, "text/plain" is # a good value. If most of your content is binary, such as applications # or images, you may want to use "application/octet-stream" instead to # keep browsers from trying to display binary files as though they are # text. # DefaultType text/plain <IfModule mime_module> # # TypesConfig points to the file containing the list of mappings from # filename extension to MIME-type. # TypesConfig conf/mime.types # # AddType allows you to add to or override the MIME configuration # file specified in TypesConfig for specific file types. # #AddType application/x-gzip .tgz # # AddEncoding allows you to have certain browsers uncompress # information on the fly. Note: Not all browsers support this. # #AddEncoding x-compress .Z #AddEncoding x-gzip .gz .tgz # # If the AddEncoding directives above are commented-out, then you # probably should define those extensions to indicate media types: # AddType application/x-compress .Z AddType application/x-gzip .gz .tgz # # AddHandler allows you to map certain file extensions to "handlers": # actions unrelated to filetype. These can be either built into the server # or added with the Action directive (see below) # # To use CGI scripts outside of ScriptAliased directories: # (You will also need to add "ExecCGI" to the "Options" directive.) # #AddHandler cgi-script .cgi # For type maps (negotiated resources): #AddHandler type-map var # # Filters allow you to process content before it is sent to the client. # # To parse .shtml files for server-side includes (SSI): # (You will also need to add "Includes" to the "Options" directive.) # #AddType text/html .shtml #AddOutputFilter INCLUDES .shtml </IfModule> # # The mod_mime_magic module allows the server to use various hints from the # contents of the file itself to determine its type. The MIMEMagicFile # directive tells the module where the hint definitions are located. # #MIMEMagicFile conf/magic # # Customizable error responses come in three flavors: # 1) plain text 2) local redirects 3) external redirects # # Some examples: #ErrorDocument 500 "The server made a boo boo." #ErrorDocument 404 /missing.html #ErrorDocument 404 "/cgi-bin/missing_handler.pl" #ErrorDocument 402 http://www.example.com/subscription_info.html # # # MaxRanges: Maximum number of Ranges in a request before # returning the entire resource, or 0 for unlimited # Default setting is to accept 200 Ranges #MaxRanges 0 # # EnableMMAP and EnableSendfile: On systems that support it, # memory-mapping or the sendfile syscall is used to deliver # files. This usually improves server performance, but must # be turned off when serving from networked-mounted # filesystems or if support for these functions is otherwise # broken on your system. # #EnableMMAP off #EnableSendfile off # Supplemental configuration # # The configuration files in the conf/extra/ directory can be # included to add extra features or to modify the default configuration of # the server, or you may simply copy their contents here and change as # necessary. # Server-pool management (MPM specific) #Include conf/extra/httpd-mpm.conf # Multi-language error messages #Include conf/extra/httpd-multilang-errordoc.conf # Fancy directory listings #Include conf/extra/httpd-autoindex.conf # Language settings #Include conf/extra/httpd-languages.conf # User home directories #Include conf/extra/httpd-userdir.conf # Real-time info on requests and configuration #Include conf/extra/httpd-info.conf # Virtual hosts Include conf/extra/httpd-vhosts.conf # Local access to the Apache HTTP Server Manual #Include conf/extra/httpd-manual.conf # Distributed authoring and versioning (WebDAV) #Include conf/extra/httpd-dav.conf # Various default settings #Include conf/extra/httpd-default.conf # Secure (SSL/TLS) connections #Include conf/extra/httpd-ssl.conf # # Note: The following must must be present to support # starting without SSL on platforms with no /dev/random equivalent # but a statically compiled-in mod_ssl. # <IfModule ssl_module> SSLRandomSeed startup builtin SSLRandomSeed connect builtin </IfModule> * /usr/local/apache2/conf/extra/httpd-vhosts.conf * # # Virtual Hosts # # If you want to maintain multiple domains/hostnames on your # machine you can setup VirtualHost containers for them. Most configurations # use only name-based virtual hosts so the server doesn't need to worry about # IP addresses. This is indicated by the asterisks in the directives below. # # Please see the documentation at # <URL:http://httpd.apache.org/docs/2.2/vhosts/> # for further details before you try to setup virtual hosts. # # You may use the command line option '-S' to verify your virtual host # configuration. # # Use name-based virtual hosting. # NameVirtualHost *:80 # # VirtualHost example: # Almost any Apache directive may go into a VirtualHost container. # The first VirtualHost section is used for all requests that do not # match a ServerName or ServerAlias in any <VirtualHost> block. # <VirtualHost *:80> ServerName localhost ServerAdmin david@localhost DocumentRoot "/srv/www/localhost" # MonoServerPath can be changed to specify which version of ASP.NET is hosted # mod-mono-server1 = ASP.NET 1.1 / mod-mono-server2 = ASP.NET 2.0 # For SUSE Linux Enterprise Mono Extension, uncomment the line below: # MonoServerPath localhost "/opt/novell/mono/bin/mod-mono-server2" # For Mono on openSUSE, uncomment the line below instead: MonoServerPath localhost "/opt/mono-2.10/bin/mod-mono-server4" # To obtain line numbers in stack traces you need to do two things: # 1) Enable Debug code generation in your page by using the Debug="true" # page directive, or by setting <compilation debug="true" /> in the # application's Web.config # 2) Uncomment the MonoDebug true directive below to enable mod_mono debugging MonoDebug localhost true # The MONO_IOMAP environment variable can be configured to provide platform abstraction # for file access in Linux. Valid values for MONO_IOMAP are: # case # drive # all # Uncomment the line below to alter file access behavior for the configured application MonoSetEnv localhost PATH=/opt/mono-2.10/bin:$PATH;LD_LIBRARY_PATH=/opt/mono-2.10/lib:$LD_LIBRARY_PATH; # # Additional environtment variables can be set for this server instance using # the MonoSetEnv directive. MonoSetEnv takes a string of 'name=value' pairs # separated by semicolons. For instance, to enable platform abstraction *and* # use Mono's old regular expression interpreter (which is slower, but has a # shorter setup time), uncomment the line below instead: # MonoSetEnv localhost MONO_IOMAP=all;MONO_OLD_RX=1 MonoApplications localhost "/:/srv/www/localhost" <Location "/"> Allow from all Order allow,deny MonoSetServerAlias localhost SetHandler mono SetOutputFilter DEFLATE SetEnvIfNoCase Request_URI "\.(?:gif|jpe?g|png)$" no-gzip dont-vary </Location> <IfModule mod_deflate.c> AddOutputFilterByType DEFLATE text/html text/plain text/xml text/javascript </IfModule> </VirtualHost> <VirtualHost *:80> ServerAdmin [email protected] DocumentRoot "/usr/local/apache2/docs/dummy-host.example.com" ServerName dummy-host.example.com ServerAlias www.dummy-host.example.com ErrorLog "logs/dummy-host.example.com-error_log" CustomLog "logs/dummy-host.example.com-access_log" common </VirtualHost> <VirtualHost *:80> ServerAdmin [email protected] DocumentRoot "/usr/local/apache2/docs/dummy-host2.example.com" ServerName dummy-host2.example.com ErrorLog "logs/dummy-host2.example.com-error_log" CustomLog "logs/dummy-host2.example.com-access_log" common </VirtualHost> mono -V output: root@david-ubuntu:~# mono -V Mono JIT compiler version 2.6.7 (Debian 2.6.7-5ubuntu3) Copyright (C) 2002-2010 Novell, Inc and Contributors. www.mono-project.com TLS: __thread GC: Included Boehm (with typed GC and Parallel Mark) SIGSEGV: altstack Notifications: epoll Architecture: amd64 Disabled: none

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  • Missing styles. Is the correct theme chosen for this layout?

    - by user1820007
    Missing styles. Is the correct theme chosen for this layout? Use the Theme combo box above the layout to choose a different layout, or fix the theme style references. Failed to find style 'mapViewStyle' in current theme. I tried every solutions available to solve this problem. But nothing seems to work. I have included library in the manifest file. I even created style is styles.xml. I have chosen Google Apis build target as well. Can somebody please give me a solution. Thank you in advance for your valuable time... here is my xml file: <?xml version="1.0" encoding="utf-8"?> <RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android" xmlns:tools="http://schemas.android.com/tools" style="@style/AppTheme" android:layout_width="fill_parent" android:layout_height="fill_parent" > <com.google.android.maps.MapView android:id="@+id/themap" style="@style/mapViewStyle" android:layout_width="fill_parent" android:layout_height="fill_parent" android:apiKey="here i have my key" android:clickable="true" android:enabled="true" /> </RelativeLayout> ` Here is my manifest snippet: <uses-library android:name="com.google.android.maps" /> <activity android:name=".MainActivity" android:label="@string/title_activity_main" > <intent-filter> <action android:name="android.intent.action.MAIN" /> <category android:name="android.intent.category.LAUNCHER" /> </intent-filter> </activity> <activity android:name=".Second" /> <acttiviy android:name=".Third" android:theme="@android:style/Theme.Black" /> </application> here is my style.xml file <style name="mapViewStyle" parent="@android:style/Theme.Black"> </style> </resources>

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  • Using WPF and SlimDx (DirectX 10/11)

    - by slurmomatic
    I am using SlimDX with WinForms for a while now, but want to make the switch to WPF now. However, I can't figure out how to get DX10/11 working with WPF. The February release of SlimDX provides a WPF example, which only works with DX 9 though. I found the following solution: http://jmorrill.hjtcentral.com/Home/tabid/428/EntryId/437/Direct3D-10-11-Direct2D-in-WPF.aspx but can't get it to work with SlimDX. My main problem is the shared resource handle as I don't know how to retrieve the shared handle from a SlimDX texture. I can't find any information to this topic. In C++ the code looks like this: HRESULT D3DImageEx::GetSharedHandle(IUnknown *pUnknown, HANDLE * pHandle) { HRESULT hr = S_OK; *pHandle = NULL; IDXGIResource* pSurface; if (FAILED(hr = pUnknown->QueryInterface(__uuidof(IDXGIResource), (void**)&pSurface))) return hr; hr = pSurface->GetSharedHandle(pHandle); pSurface->Release(); return hr; } Basically, what I want to do (because I think that this is the solution), is to share a texture between a Direct3d9DeviceEx (for rendering the WPF D3DImage) and a Direct3d10Device (a texture render target for my scene). Any pointers in the right direction are greatly appreciated.

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  • Could not load file or assembly FSharp.Core, Version=4.0.0.0

    - by Ken
    I'm trying to deploy a web application which uses F# 4.0 on Windows Server 2008. It works on my computer where VS2010 is installed but it doesn't work on the server. Everytime you open the page you'll get this error message: Could not load file or assembly 'FSharp.Core, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a' or one of its dependencies. The system cannot find the file specified. I've installed .NET 4 using the web platform installer. F# PowerPack is installed too. I found this page: http://connect.microsoft.com/VisualStudio/feedback/details/507202/error-in-working-with-f It suggests you to reinstall F#, but the link to download F# seems to be broken. And it might not be the same problem I have. I've also tried to install Microsoft F# 2.0.0.0 since it's the only F# redistribution I could find. But it doesn't help at all. Has anyone get something like this to work? Any help would be appreciated. Thanks.

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  • glm matrix conversion for DirectX

    - by niktehpui
    For on of the coursework specification I need to work with DirectX, so I tried to implement a DirectX Renderer in my small cross-platform framework (to have it optionally available for Windows). Since I want to stick to my dependencies I want use glm for vector/matrix/quaternions math. The vectors seem to be fully compatible with DirectX, but the glm::mat4 is not working properly in DirectX Effects Framework. I assumed the reason is that DirectX uses row majors layouts and OpenGL column majors (although if I remember right internally in HLSL DX uses column major as well), so I transposed the matrix, but I still get no proper results compared to using XNA-Math. XNA-Version of the code (works): XMMATRIX world = XMMatrixIdentity(); XMMATRIX view = XMMatrixLookAtLH(XMVectorSet(5.0, 5.0, 5.0, 1.0f), XMVectorZero(), XMVectorSet(0.0f, 1.0f, 0.0f, 0.0f)); XMMATRIX proj = XMMatrixPerspectiveFovLH(0.25f*3.14f, 1.25f, 1.0f, 1000.0f); XMMATRIX worldViewProj = world*view*proj; m_fxWorldViewProj->SetMatrix(reinterpret_cast<float*>(&worldViewProj)); This works flawlessly and displays the expected colored cube. GLM-Version (does not work): glm::mat4 world(1.0f); glm::mat4 view = glm::lookAt(glm::vec3(5.0f, 5.0f, 5.0f), glm::vec3(0.0f, 0.0f, 0.0f), glm::vec3(0.0f, 1.0f, 0.0f)); glm::mat4 proj = glm::perspective(0.25f*3.14f, 1.25f, 1.0f, 1000.0f); glm::mat4 worldViewProj = glm::transpose(world*view*proj); m_fxWorldViewProj->SetMatrix(glm::value_ptr(worldViewProj)); Displays nothing, screen stays black. I really would like to stick to glm on all platforms.

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  • How does one get UI_USER_INTERFACE_IDIOM() to work with iPhone OS SDK < 3.2

    - by drootang
    Apple advises using the following code to detect whether running on an iPad or iPhone/iPod Touch: if (UI_USER_INTERFACE_IDIOM() == UIUserInterfaceIdiomPad) { // The device is an iPad running iPhone 3.2 or later. // [for example, load appropriate iPad nib file] } else { // The device is an iPhone or iPod touch. // [for example, load appropriate iPhone nib file] } The problem is that UI_USER_INTERFACE_IDIOM() and UIUserInterfaceIdiomPad are NOT defined in the SDKs priory to 3.2. This seems to completely defeat the purpose of such a function. They can only be compiled and run on iPhone OS 3.2 (iPhone OS 3.2 can only be run on iPad). So if you can use UI_USER_INTERFACE_IDIOM(), the result will always be to indicate an iPad. If you include this code and target OS 3.1.3 (the most recent iPhone/iPod Touch OS) in order to test your iPhone-bound universal app code, you will get compiler errors since the symbols are not defined in 3.1.3 or earlier. If this is the recommended-by-Apple approach to runtime device-detection, what am I doing wrong? Has anyone succeeded using this approach to device-detection?

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  • MSDeploy doesn't deploy to remote server using MSBuild and Visual Studio 2010

    - by user317762
    I'm currently running Visual Studio Team System 2010 RC and I'm trying to get the Build Service setup to build my solution and deploy 3 web applications in it. I've created a custom build configuration called Integration and I've setup the "IIS Web site/application name to use on the destination server" on the Package/Publish tab of the Properties for each of the web applications. In my Build Definition I've set the following arguments: /p:DeployOnBuild=True /p:DeployTarget=MSDeployPublish /p:MSDeployPublishMethod=InProc /p:MsDeployServiceUrl=http://my-server-name:8172/msdeploy.axd /p:EnablePackageProcessLoggingAndAssert=True However, when I run the build I get the following error, for all three web applications: Updating setAcl (RightContent). C:\Program Files\MSBuild\Microsoft\VisualStudio\v10.0\Web\Microsoft.Web.Publishing.targets(3481,5): error : Web deployment task failed. (Attempted to perform an unauthorized operation.) I don't think this is my actual problem though. This error is occuring after the following entry in the log: Updating setAcl This is what's causing the error message, but it appears that MSDeploy is trying to deploy to the local IIS on the Build server, not the server I specified with the MsDeployServiceUrl parameter. After looking at the targets file at C:\Program Files\MSBuild\Microsoft\VisualStudio\v10.0\Web\Microsoft.Web.Publishing.targets, I added the EnablePackageProcessLoggingAndAssert, which adds extra logging. The log shows an emptry string for the value of MsDeployServiceUrl. I also noticed in the target that MsDeployServiceUrl has a lowercase s, which is somewhat confusing because the task name MSDeployPublish has an uppercase S. I tried using it using uppercase, then again using lowercase, but neither worked. A couple other things to note: My build service is running as NETWORK SERVICE. The server I'm trying to deploy to is on another domain. I also tried adding /p:username=mydomain\myusername /p:password=mypassword to the MSBuild paramter list, but that didn't help. Does anyone know if I'm supplying the correct parameters? Or provide me with the correct ones? Thanks

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  • Ajax call from a form rendered as Ajax response (jQuery + Grails: chaining ajax requests)

    - by bsreekanth
    Hello, I was expecting the below scenario common, but couldn't find much help online. I have a form loaded through Ajax (say, create entity form). It is loaded through a button click (load) event $("#bt-create").click(function(){ $ ('#pid').load('/controller/vehicleModel/create3'); return false; }); the response (a form) is written in to the pid element. The name and id of the form is ajax-form, and the submit event is attached to an ajax post request $(function() { $("#ajax-form").submit(function(){ // do something... var url = "/app/controller/save" $.post(url, $(this).serialize(), function(data) { alert( data ) ; /// alert data from server }); I could make the above ajax operations individually. That is the ajax post operation succeeds if it calls from a static html file. But if I chain the requests (after completing the first), so that it calls from the output form generated by the first request, nothing happens. I could see the post method is called through firebug. Is there a better way to handle above flow? One more interesting thing I noticed. As you could see, I use grails as my platform. If I keep the javascripts in the main.gsp (master layout), the submit event would not register as the breakpoint is not hit in firebug. But, if I define the javascript in the template file (which renders the form above), the breakpoint is hit, but as I explained, the action is not called at the controller. I changes the javascript to the head section but same result. any help greatly appreciated. thanks, Babu.

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  • motion computation from video using pyglet in python

    - by kuaywai
    Hi, I am writing a simple motion detection program but i want it to be cross platform so im using python and the pyglet library since it provides a simple way to load videos in different formats (specially wmv and mpeg). So far i have the code given below which loads the movie and plays it in a window. Now i need to: 1) grab frame at time t and t-1 2) do a subtraction to see which pixels are active for motion detection. any ideas on how to grab frames and to skip over frames and is it possible to put the pixel values into a matrix in numpy or something directly from pyglet? or should look into using something other than pyglet? thanks kuaywai import pyglet import sys window = pyglet.window.Window(resizable=True) window.set_minimum_size(320,200) window.set_caption('Motion detect 1.0') video_intro = pyglet.resource.media('movie1.wmv') player = pyglet.media.Player() player.queue(video_intro) print 'calculating movie size...' if not player.source or not player.source.video_format: sys.exit myWidth = player.source.video_format.width myHeight = player.source.video_format.height if player.source.video_format.sample_aspect 1: myWidth *= player.source.video_format.sample_aspect elif player.source.video_format.sample_aspect < 1: myHeight /= player.source.video_format.sample_aspect print 'its size is %d,%d' % (myWidth,myHeight) player.play() @window.event def on_draw(): window.clear() (w,h) = window.get_size() player.get_texture().blit(0, h-myHeight, width=myWidth, height=myHeight) pyglet.app.run()

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  • How to trigger an action from a NSTableCellView in view based NSTableView when using bindings

    - by user1075752
    I'm facing a problem with a view-based NSTableView running on 10.8 (target is 10.7, but I think this is not relevant). I'm using an NSTableView, and I get content values for my custom NSTableCellView through bindings. I use the obejctValue of the NSTableCellView to get my data. I added a button to my cell, and I'd like it to trigger some action when clicked. So far I have only been able to trigger an action within the custom NSTableCellView's subclass. I can get the row that was clicked like this, using the chain: NSButton *myButton = (NSButton*)sender; NSTableView *myView = (NSTableView*)myButton.superview.superview.superview; NSInteger rowClicked = [myView rowForView:myButton.superview]; From there I don't know how to reach my App Delegate or controller where the action is defined. As I am using cocoa bindings, I do not have a delegate on the NSTableView that I could use to trigger my action. Do you have any idea how I could talked back to controller ? Many thanks in advance!

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  • Code sign error with Xcode 3.2

    - by quux
    I had a fully working build environment before upgrading to iPhone OS 3.1 and Xcode 3.2. Now when I try to do a build, i get the following: Code Sign error: Provisioning profile 'FooApp test' specifies the Application Identifier 'no.fooapp.iphoneapp' which doesn't match the current setting 'TGECMYZ3VK.no.fooapp.iphoneapp' The problem is that Xcode somehow manages to think that the "FooApp Test" provisioning profile specifies the Application Identifier "no.fooapp.iphoneapp", but this is not the case. In the Organizer (and in the iPhone developer portal website) the app identifier is correctly seen as 'TGECMYZ3VK.no.fooapp.iphoneapp'. Also, when setting the provisioning profile in the build options at the project level, Xcode correctly identifies the app identifier, but when I go to the target, I'm unable to select any valid provisioning profile. What could be causing this problem? Update: I've tried to create a new provisioning profile, but still no luck. I also tried simply changing the app identified in Info.plist to just "no.fooapp.iphoneapp". The build succeeds, but now I get an error from the Organizer: The executable was signed with invalid entitlements. The entitlements specified in your application's Code Signing Entitlements file do not match those specified in your provisioning profile. (0xE8008016). This seems reasonable, as the provisioning profile still has the "TGECMYZ3VK.no.fooapp.iphoneapp" application identifier. I also double checked that all certiicates are valid in the Keychain. So my question is how I can get Xcode to see the correct application identifier? UPDATE: As noted below, what seems to fix the problem is deleting all provisioning profiles, certificates etc, making new certificates / profiles and installing them again. If anyone has any other solutions, they would be welcome. :)

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  • Haskell: 'No instance for' arising from a trivial usage of Regex library

    - by artemave
    Following the (accepted) answer from this question, I am expecting the following to work: Prelude Text.Regex.Posix Text.Regex.Base.RegexLike Text.Regex.Posix.String> makeRegex ".*" (makeRegex is a shortcut for makeRegexOpts with predefined options) However, it doesn't: <interactive>:1:0: No instance for (RegexMaker regex compOpt execOpt [Char]) arising from a use of `makeRegex' at <interactive>:1:0-13 Possible fix: add an instance declaration for (RegexMaker regex compOpt execOpt [Char]) In the expression: makeRegex ".*" In the definition of `it': it = makeRegex ".*" Prelude Text.Regex.Posix Text.Regex.Base.RegexLike Text.Regex.Posix.String> make Regex ".*"::Regex <interactive>:1:0: No instance for (RegexMaker Regex compOpt execOpt [Char]) arising from a use of `makeRegex' at <interactive>:1:0-13 Possible fix: add an instance declaration for (RegexMaker Regex compOpt execOpt [Char]) In the expression: makeRegex ".*" :: Regex In the definition of `it': it = makeRegex ".*" :: Regex And I really don't understand why. EDIT Haskell Platform 2009.02.02 (GHC 6.10.4) on Windows EDIT2 Prelude Text.Regex.Base.RegexLike Text.Regex.Posix.String> :i RegexMaker class (RegexOptions regex compOpt execOpt) => RegexMaker regex compOpt execOpt source | regex -> compOpt execOpt, compOpt -> regex execOpt, execOpt -> regex compOpt where makeRegex :: source -> regex makeRegexOpts :: compOpt -> execOpt -> source -> regex makeRegexM :: (Monad m) => source -> m regex makeRegexOptsM :: (Monad m) => compOpt -> execOpt -> source -> m regex -- Defined in Text.Regex.Base.RegexLike

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  • Visual Studio 2010 is asking to convert RDLC created on VS2008 to RDLC 2008 format?

    - by Junior Mayhé
    I've created my project on Visual Studio 2008, as well RDLC files on it. But now, when I open the solution on Visual Studio 2010 and want to open RDLC file, it's showing me a warning. That's a little funny. The report was created on VS2008 and VS2010 is asking to convert to 2008 format. Perhaps there was a problem on my VS2008 installation that created RDLC files using some ancient format (2005??!) The problem is, when you confirm with Ok button, do some design ajustments and run the app, it throws an error on 'Main report': ex.InnerException {"The definition of the report 'Main Report' is invalid."} [Microsoft.Reporting.DefinitionInvalidException]: {"The definition of the report 'Main Report' is invalid."} Data: {System.Collections.ListDictionaryInternal} HelpLink: null InnerException: {"The report definition is not valid. Details: The report definition has an invalid target namespace 'http://schemas.microsoft.com/sqlserver/reporting/2008/01/reportdefinition' which cannot be upgraded."} Message: "The definition of the report 'Main Report' is invalid." Source: "Microsoft.ReportViewer.Common" StackTrace: " at Microsoft.Reporting.ReportCompiler.CompileReport(CatalogItemContext context, Byte[] reportDefinition, Boolean generateExpressionHostWithRefusedPermissions, ReportSnapshotBase& snapshot)\r\n at Microsoft.Reporting.StandalonePreviewStore.StoredReport.CompileReport()\r\n at Microsoft.Reporting.StandalonePreviewStore.StoredReport.get_Snapshot()\r\n at Microsoft.Reporting.StandalonePreviewStore.GetCompiledReport(CatalogItemContext context, Boolean rebuild, ReportSnapshotBase& snapshot)\r\n at Microsoft.Reporting.LocalService.GetCompiledReport(CatalogItemContext itemContext, Boolean rebuild, ReportSnapshotBase& snapshot)\r\n at Microsoft.Reporting.LocalService.CompileReport(CatalogItemContext itemContext, Boolean rebuild)\r\n at Microsoft.Reporting.WinForms.LocalReport.CompileReport()" TargetSite: {Microsoft.ReportingServices.ReportProcessing.PublishingResult CompileReport(Microsoft.ReportingServices.Diagnostics.CatalogItemContext, Byte[], Boolean, Microsoft.ReportingServices.Library.ReportSnapshotBase ByRef)}

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  • Adding array of images to Firebase using AngularFire

    - by user2833143
    I'm trying to allow users to upload images and then store the images, base64 encoded, in firebase. I'm trying to make my firebase structured as follows: |--Feed |----Feed Item |------username |------epic |---------name,etc. |------images |---------image1, image 2, etc. However, I can't get the remote data in firebase to mirror the local data in the client. When I print the array of images to the console in the client, it shows that the uploaded images have been added to the array of images...but these images never make it to firebase. I've tried doing this multiple ways to no avail. I tried using implicit syncing, explicit syncing, and a mixture of both. I can;t for the life of me figure out why this isn;t working and I'm getting pretty frustrated. Here's my code: $scope.complete = function(epicName){ for (var i = 0; i < $scope.activeEpics.length; i++){ if($scope.activeEpics[i].id === epicName){ var epicToAdd = $scope.activeEpics[i]; } } var epicToAddToFeed = {epic: epicToAdd, username: $scope.currUser.username, userImage: $scope.currUser.image, props:0, images:['empty']}; //connect to feed data var feedUrl = "https://epicly.firebaseio.com/feed"; $scope.feed = angularFireCollection(new Firebase(feedUrl)); //add epic var added = $scope.feed.add(epicToAddToFeed).name(); //connect to added epic in firebase var addedUrl = "https://epicly.firebaseio.com/feed/" + added; var addedRef = new Firebase(addedUrl); angularFire(addedRef, $scope, 'added').then(function(){ // for each image uploaded, add image to the added epic's array of images for (var i = 0, f; f = $scope.files[i]; i++) { var reader = new FileReader(); reader.onload = (function(theFile) { return function(e) { var filePayload = e.target.result; $scope.added.images.push(filePayload); }; })(f); reader.readAsDataURL(f); } }); } EDIT: Figured it out, had to connect to "https://epicly.firebaseio.com/feed/" + added + "/images"

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  • UI_USER_INTERFACE_IDIOM() does not work with iPhone OS SDK < 3.2

    - by drootang
    Apple advises using the following code to detect whether running on an iPad or iPhone/iPod Touch: if (UI_USER_INTERFACE_IDIOM() == UIUserInterfaceIdiomPad) { // The device is an iPad running iPhone 3.2 or later. // [for example, load appropriate iPad nib file] } else { // The device is an iPhone or iPod touch. // [for example, load appropriate iPhone nib file] } The problem is that UI_USER_INTERFACE_IDIOM() and UIUserInterfaceIdiomPad are NOT defined in the SDKs priory to 3.2. This seems to completely defeat the purpose of such a function. They can only be compiled and run on iPhone OS 3.2 (iPhone OS 3.2 can only be run on iPad). So if you can use UI_USER_INTERFACE_IDIOM(), the result will always be to indicate an iPad. If you include this code and target OS 3.1.3 (the most recent iPhone/iPod Touch OS) in order to test your iPhone-bound universal app code, you will get compiler errors since the symbols are not defined in 3.1.3 or earlier. If this is the recommended-by-Apple approach to runtime device-detection, what am I doing wrong? Has anyone succeeded using this approach to device-detection?

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  • In an iPad SplitView, how do I add a Date Picker control to the Root View?

    - by Dr Dork
    I'm diving into iPhone OS development on the iPad and one of the things I'm playing with is the SplitView template. The template provides a window with a UISplitView view, containing the Root View (on the left of the window) and the Detail View (on the right of the window). The Root View is a subclass of a TableView. Rather than having the entire Root View consist of a TableView, I'd like it to contain a DatePicker view along with the TableView under it. When I go into IB and try and drop a DatePicker into the Root View, it won't let me. It will only let me add a DatePicker view to the Detail View. Why wont IB let me drop a DatePicker view into the Root View? How can I add a DatePicker to the RootView in addition to the TableView? I'm still learning this new platform, so I apologize if these questions are absurd in any way. Thanks so much in advance for your help, I'm going to continue researching these questions right now.

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  • Noob Objective-C/C++ - Linker Problem/Method Signature Problem

    - by Josh
    There is a static class Pipe, defined in C++ header that I'm including. The static method I'm interested in calling (from Objetive-c) is here: static ERC SendUserGet(const UserId &_idUser,const GUID &_idStyle,const ZoneId &_idZone,const char *_pszMsg); I have access to an objetive-c data structure that appears to store a copy of userID, and zoneID -- it looks like: @interface DataBlock : NSObject { GUID userID; GUID zoneID; } Looked up the GUID def, and its a struct with a bunch of overloaded operators for equality. UserId and ZoneId from the first function signature are #typedef GUID Now when I try to call the method, no matter how I cast it (const UserId), (UserId), etc, I get the following linker error: Ld build/Debug/Seeker.app/Contents/MacOS/Seeker normal i386 cd /Users/josh/Development/project/Mac/Seeker setenv MACOSX_DEPLOYMENT_TARGET 10.5 /Developer/usr/bin/g++-4.2 -arch i386 -isysroot /Developer/SDKs/MacOSX10.5.sdk -L/Users/josh/Development/TS/Mac/Seeker/build/Debug -L/Users/josh/Development/TS/Mac/Seeker/../../../debug -L/Developer/Platforms/iPhoneOS.platform/Developer/usr/lib/gcc/i686-apple-darwin10/4.2.1 -F/Users/josh/Development/TS/Mac/Seeker/build/Debug -filelist /Users/josh/Development/TS/Mac/Seeker/build/Seeker.build/Debug/Seeker.build/Objects-normal/i386/Seeker.LinkFileList -mmacosx-version-min=10.5 -framework Cocoa -framework WebKit -lSAPI -lSPL -o /Users/josh/Development/TS/Mac/Seeker/build/Debug/Seeker.app/Contents/MacOS/Seeker Undefined symbols: "SocPipe::SendUserGet(_GUID const&, _GUID const&, _GUID const&, char const*)", referenced from: -[PeoplePaneController clickGet:] in PeoplePaneController.o ld: symbol(s) not found collect2: ld returned 1 exit status Is this a type/function signature error, or truly some sort of linker error? I have the headers where all these types and static classes are defined #imported -- I tried #include too, just in case, since I'm already stumbling :P Forgive me, I come from a web tech background, so this c-style memory management and immutability stuff is super hazy. Edit: Added full linker error text. Changed "function" to "method" Thanks, Josh

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  • iPhone: how to use performSelector:onThread:withObject:waitUntilDone: method?

    - by Michael Kessler
    Hi all, I am trying to use a separate thread for working with some API. The problem is that I am not able to use performSelector:onThread:withObject:waitUntilDone: method with a thread that I' instantiated for this. My code: @interface MyObject : NSObject { NSThread *_myThread; } @property(nonatomic, retain) NSThread *myThread; @end @implementation MyObject @synthesize myThread = _myThread; - (NSThread *)myThread { if (_myThread == nil) { NSThread *myThreadTemp = [[NSThread alloc] init]; [myThreadTemp start]; self. myThread = myThreadTemp; [myThreadTemp release]; } return _myThread; } - (id)init { if (self = [super init]) { [self performSelector:@selector(privateInit:) onThread:[self myThread] withObject:nil waitUntilDone:NO]; } return self; } - (void)privateInit:(id)object { NSLog(@"MyObject - privateInit start"); } - (void)dealloc { [_myThread release]; _myThread = nil; [super dealloc]; } @end "MyObject - privateInit start" is never printed. What am I missing? I tried to instantiate the thread with target and selector, tried to wait for method execution completion (waitUntilDone:YES). Nothing helps. UPDATE: I don't need this multithreading for separating costly operations to another thread. In this case I could use the performSelectorInBackground as mentioned in few answers. The main reason for this separate thread is the need to perform all the actions in the API (TTS by Loquendo) from one single thread. Meaning that I have to create an instance of the TTS object and call methods on that object from the same thread all the time.

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  • VS 2010 VSTO Add in for EXCEL 2007 Won't load

    - by Erick
    Hi everyone, We have an application that is built with Excel as the front end using the Office object model. We were using a C++ shim to load it as a COM add in for Excel 2003, but I've updated it to use the latest VSTO for Excel 2007. I've also been using VS 2010 for the latest version. The problem is that everything works great on my dev machine in debugger mode as well as just launching Excel 2007, but I cannot get it to run on any other machine (my current target machine is Win7, development is XP). I've created a ClickOnce deployment of the Addin, and I can see it in the list of COM Addins, but when I check on it to load it nothing happens. I re-open the Addins manager and it is un-checked. I've also tried setting in in the registry, but as soon as I run it, it sets the registry back to do not load. I've tried everything I can think of and searched all over the web but no dice. Any help would be appreciated!

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  • Ant and Flex-4 problem, MXMLC.jar not found !

    - by Ali
    Hi all, I updated a flex application from flex 3.5 to flex 4.0. We are using ant for compiling our project and we have a mxmlc task to handle the flex part. After the upgrade, our mxmlc task broke. Here is the task definition: <taskdef resource="flexTasks.tasks"> <classpath> <pathelement path="${FLEX_HOME}/ant/lib/flexTasks.jar"/> <pathelement path="${FLEX_HOME}/lib/flexTasks.jar"/> <fileset dir="${FLEX_HOME}/lib"> <include name="**/*.jar"/> </fileset> </classpath> </taskdef> And here is mxmlc task <mxmlc file="${src}/Main.mxml" output="${build}/main.swf" debug="true" target-player="10" services="../src/main/webapp/WEB-INF/flex/services-config.xml" context-root="/" > <compiler.library-path dir="${lib}"> <include name="*.swc"/> </compiler.library-path> <compiler.library-path dir="${FLEX_HOME}/frameworks/libs"> <include name="*.swc"/> </compiler.library-path> <compiler.library-path dir="${FLEX_HOME}/frameworks/libs/player/10.0"> <include name="*.swc"/> </compiler.library-path> <compiler.library-path dir="${FLEX_HOME}/frameworks/locale"> <include name="**/*"/> </compiler.library-path> </mxmlc> And we are getting: The class not found in jar file: mxmlc.jar I checked the ${FLEX_HOME}/lib folder and I can see the mxmlc.jar file there. I appreciate your comments for resolving this matter, Thanks, -A

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