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  • How to move Objects smoothly like swimming arround

    - by philipp
    I have a Box2D project that is about to create a view where the user looks from the Sky onto Water. Or perhaps on a bathtub filled with water or something like this. The Object which holds the fluid actually does not matter, what matters is the movement of the bodies, because they should move like drops of grease on a soup, or wood on water, I can even imagine the the fluid is mercurial, extreme heavy and "lazy". How can I manipulate the bodies (every frame or time by time) to make them move like this? I started with randomly manipulation their linear velocity, but I turned out that this not very smooth and looks quite hard. Is it a better idea to check their velocity and apply impulses? Is there any example? Greetings philipp

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  • Automating custom software installation in a zone

    - by mgerdts
    In Solaris 11, the internals of zone installation are quite different than they were in Solaris 10.  This difference allows the administrator far greater control of what software is installed in a zone.  The rules in Solaris 10 are simple and inflexible: if it is installed in the global zone and is not specifically excluded by package metadata from being installed in a zone, it is installed in the zone.  In Solaris 11, the rules are still simple, but are much more flexible:  the packages you tell it to install and the packages on which they depend will be installed. So, where does the default list of packages come from?  From the AI (auto installer) manifest, of course.  The default AI manifest is /usr/share/auto_install/manifest/zone_default.xml.  Within that file you will find:             <software_data action="install">                 <name>pkg:/group/system/solaris-small-server</name>             </software_data> So, the default installation will install pkg:/group/system/solaris-small-server.  Cool.  What is that?  You can figure out what is in the package by looking for it in the repository with your web browser (click the manifest link), or use pkg(1).  In this case, it is a group package (pkg:/group/), so we know that it just has a bunch of dependencies to name the packages that really wants installed. $ pkg contents -t depend -o fmri -s fmri -r solaris-small-server FMRI compress/bzip2 compress/gzip compress/p7zip ... terminal/luit terminal/resize text/doctools text/doctools/ja text/less text/spelling-utilities web/wget If you would like to see the entire manifest from the command line, use pkg contents -r -m solaris-small-server. Let's suppose that you want to install a zone that also has mercurial and a full-fledged installation of vim rather than just the minimal vim-core that is part of solaris-small-server.  That's pretty easy. First, copy the default AI manifest somewhere where you will edit it and make it writable. # cp /usr/share/auto_install/manifest/zone_default.xml ~/myzone-ai.xml # chmod 644 ~/myzone-ai.xml Next, edit the file, changing the software_data section as follows:             <software_data action="install">                 <name>pkg:/group/system/solaris-small-server</name>                 <name>pkg:/developer/versioning/mercurial</name>                <name>pkg:/editor/vim</name>             </software_data> To figure out  the names of the packages, either search the repository using your browser, or use a command like pkg search hg. Now we are all ready to install the zone.  If it has not yet been configured, that must be done as well. # zonecfg -z myzone 'create; set zonepath=/zones/myzone' # zoneadm -z myzone install -m ~/myzone-ai.xml A ZFS file system has been created for this zone. Progress being logged to /var/log/zones/zoneadm.20111113T004303Z.myzone.install Image: Preparing at /zones/myzone/root. Install Log: /system/volatile/install.15496/install_log AI Manifest: /tmp/manifest.xml.XfaWpE SC Profile: /usr/share/auto_install/sc_profiles/enable_sci.xml Zonename: myzone Installation: Starting ... Creating IPS image Installing packages from: solaris origin: http://localhost:1008/solaris/54453f3545de891d4daa841ddb3c844fe8804f55/ DOWNLOAD PKGS FILES XFER (MB) Completed 169/169 34047/34047 185.6/185.6 PHASE ACTIONS Install Phase 46498/46498 PHASE ITEMS Package State Update Phase 169/169 Image State Update Phase 2/2 Installation: Succeeded Note: Man pages can be obtained by installing pkg:/system/manual done. Done: Installation completed in 531.813 seconds. Next Steps: Boot the zone, then log into the zone console (zlogin -C) to complete the configuration process. Log saved in non-global zone as /zones/myzone/root/var/log/zones/zoneadm.20111113T004303Z.myzone.install Now, for a few things that I've seen people trip over: Ignore that bit about man pages - it's wrong.  Man pages are already installed so long as the right facet is set properly.  And that's a topic for another blog entry. If you boot the zone then just use zlogin myzone, you will see that services you care about haven't started and that svc:/milestone/config:default is starting.  That is because you have not yet logged into the console with zlogin -C myzone. If the zone has been booted for more than a very short while when you first connect to the zone console, it will seem like the console is hung.  That's not really the case - hit ^L (control-L) to refresh the sysconfig(1M) screen that is prompting you for information.

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  • How do I get the source code from a Google Code game project?

    - by BluFire
    I'm trying to get the Hedgewars source code. When I went to the downloads tab, it doesn't specify which is the actual game. I tried downloading it using the SVN Checkout on Tortoise, but it seems like it doesn't work on the browse section of Source. (Hgproject_filesAndroid_buildSDL-android-project) I then proceeded to the wiki but I got stuck at step two because I don't know anything about Mercurial. Some other things I don't know from the wiki is "FreePascal" "Android NDK" and "Tar" files. They are new to me so I am really confused. So my question is, how can I download the source code from Hedge Wars for Android without having to browse the source code inside the source tab?

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  • What to do with database in dev/production phases of a website?

    - by TheLQ
    For a while now I've been keeping a website I'm developing in the standard dev/production phases. Its been pretty simple: Mercurial repo for dev, repo for production. Do work in dev, get approved, push to production. But now I'm trying to apply this process to a new website that has a database and am struggling on how to figure out a development strategy. What I didn't mention above is that I do all my work on my own repo, push it to dev, then later push it to production, so its 3 different servers. So how do I manage my database? The obvious solution of mysqldump every commit isn't going to happen, and a dump at the end of the day isn't all that helpful when you want to undo later one change that happened in the middle of the day. What is the best way to accomplish this?

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  • Are There Realistic/Useful Solutions for Source Control for Ladder Logic Programs

    - by Steven A. Lowe
    Version control for ladder logic (LL) programs for programmable logic controllers (PLCs) seems to be virtually non-existent. It may be because LL is a visual language and tends to be stored in binary files, or it may be because source code control hasn't "caught on" in process control engineering circles - or perhaps my Google-Fu is weak tonight. Do you know of any realistic and useful solutions for version control for such systems? Definitions: realistic = changes to the programs are tracked by user and subject to reversion and merges useful = the system integrates with visual LL designers, is not limited to LL from a single PLC manufacturer, and does not cost a ridiculous amount of money? Note: I have heard of people using SVN or Mercurial et al to track the binary files, but I don't think the diff/merge capabilities would display readable differences.

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  • To branch or not to branch?

    - by Idsa
    Till recently my development workflow was the following: Get the feature from product owner Make a branch (if feature is more than 1 day) Implement it in a branch Merge changes from main branch to my branch (to reduce conflicts during backward merging) Merge my branch back to main branch Sometimes there were problems with merging, but in general I liked it. But recently I see more and more followers of idea to not make branches as it makes more difficult to practice continuous integration, continuous delivery, etc. And it sounds especially funny from people with distributed VCS background who were talking so much about great merging implementations of Git, Mercurial, etc. So the question is should we use branches nowadays?

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  • How To Create a Personal VM Server

    - by Danish
    I have a personal Ubuntu server at home for my various personal development needs. I often spend time to configure it for various purposes e.g. for serving a blog or my mercurial repositories etc. However, I am getting very interested in pre-packaged linux appliances available e.g. TurnKey linux etc. It takes no effort to get an appliance up and running! I was wondering if I could make my home server into VM server, where I can run multiple VMs for various needs. The server does not have a screen, hence I would like to be able to manage my VMs from the web or console I guess in short, I am asking if its possible to have my own personal, light weight Amazon EC2. If yes, how can I set it up? Is there an Ubuntu derived distro available for this? OR can I install a couple of packages and get this running?

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  • Is SVN out of style?

    - by jitbit
    It's been only several years since I migrated from Visual Source Safe to SVN. And SVN for me is still kinda "WOW! I can do so many things! SVN is so cool!" But many people around me keep saying "SVN? Really? Meh..." And there's so many of them that I'm worried. Should I move my team to Git / Mercurial or some other fancy thing? I know I sound ridiculous and the obvious answer would be "stay with what works for YOU". SVN does work for me... But every time I create a new project in my repository I keep asking myself - may be this was the time to move? So... Is SVN really that bad? Do I miss a huge opportunity by sticking with it?

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  • Lesser-known Github features that I'm missing out on with Bitbucket? [closed]

    - by Ghopper21
    I've been using Bitbucket for my small-team development projects, with the assumption that it is more-or-less a Github clone with pricing that is better for my situation and support for Mercurial (which I don't need). However, I'm seeing there are material-if-not-overwhelming differences, e.g. Github's appealing and useful branches page versus Bitbucket's overly simple branch drop-down list. This makes me wonder: what else am I missing out on? What are the lesser known Github features that folks like me using Bitbucket to save money are missing out on? EDIT: following closure, I've asked for advice on making this question productive over at meta. See here.

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  • As a programmer what single discovery has given you the greatest boost in productivity?

    - by ChrisInCambo
    This question has been inspired by my recent discovery/adoption of distributed version control. I started using it (mercurial) just because I liked the idea of still being able to make commits at times when I couldn't connect to the central server. I never expected it would give me a large boost in general productivity, but a pleasant side effect I discovered was that making a new clone every time I started a new task and giving that clone a descriptive folder name is extremely effective at keeping me on task resulting is a noticeable productivity increase. So as a programmer what single discovery has given you the greatest boost in productivity? Extra respect for answers which involve tools or practices that aren't so obvious from the outside!

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  • Java.net Reborn

    - by Tori Wieldt
    Java.net, the home of  Java community projects, has been re-launched with a new look and new tools for developers.  The move from CollabNet to the Kenai infrastructure offers more flexibility for developers who want to host or contribute to community projects.  Instead of the large, fixed infrastructure per project (for example, several mailing lists per project), Kenai's ala carte features allow users to take only what they need. "We will continue to have the great mix of blogs, forums, and editorial content as well as new tools on the project side, including Mercurial, Git, and JIRA for developers," Java.net Community Manager Sonya Barry explains. The migration was huge effort. Over 1400 projects were migrated (and some 30 projects are left to go). A large part of the migration was a big cleanup of abandoned projects. With the high abandonment rate of open source projects, the was a lot to remove. The new java.net site is smaller, faster and now the percentage of good, current content is much higher.Check it out at http://home.java.net/

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  • Why is git-svn useful?

    - by Wes
    I have read these related questions: I'm a Subversion geek, why should I consider or not consider Mercurial or Git or any other DVCS? git for personal (one-man) projects. Overkill? ...and I understand why git is useful. What I don't understand is why tools like git-svn that allow git to integrate with svn are useful. When, for example, a team is working with svn, or any other centralised SCM, why would a member of the team opt to use git-svn? Are there any practical advantages for a developer that has to synchronize with a centralized repository?

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  • Release Notes for 11/20/2012

    The CodePlex team deployed a few times over the last week. Below is a roll-up of changes: Fixed issue with being able add additional commits to pull requests - Thanks to Oren Novotny Fixed problem with issue summaries breaking within words - Thanks to Jeff Handley and SoonDead Corrected inconsistencies between the time displayed on the history page and previous versions page for Git/Hg commits. Fixed perma-link issue when linking to forks. - Thanks to Scott Blomquist Fixed problem with connecting via Windows Live Writer - Thanks to yufeih Fixed source browsing problem when folders have special characters. Fixed AppHarbor service hooks for Mercurial projects. Have ideas on how to improve CodePlex? Please visit our suggestions page! Vote for existing ideas or submit a new one. As always you can reach out to the CodePlex team on Twitter @codeplex or reach me directly @mgroves84

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  • WebLogic job scheduling

    - by XpiritO
    Hello, overflowers :) I'm trying to implement a WebLogic job scheduling example, to test my cluster capabilities of fail-over on scheduled tasks (to ensure that these tasks are executed on fail over scenario). With this in mind, I've been following this example and trying to configure everything accordingly. Here are the steps I've done so far: Configured a cluster with 1 admin server (AdminServer) and 2 managed instances (Noddy and Snoopy); Set up database tables (using Oracle XE): ACTIVE and WEBLOGIC_TIMERS; Set up data source to access DB and associated it to the scheduling tasks under "Settings for cluster" "Scheduling"; Implemented a job (TimerListener) and a servlet to initialize the job scheduling, as follows: . package timedexecution; import java.io.IOException; import java.io.PrintWriter; import java.io.Serializable; import java.text.SimpleDateFormat; import java.util.Date; import javax.naming.InitialContext; import javax.naming.NamingException; import javax.servlet.ServletException; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import commonj.timers.Timer; import commonj.timers.TimerListener; import commonj.timers.TimerManager; public class TimerServlet extends HttpServlet { private static final long serialVersionUID = 1L; protected static void logMessage(String message, PrintWriter out){ out.write("<p>"+ message +"</p>"); System.out.println(message); } @Override public void service(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { PrintWriter out = response.getWriter(); // out.println("<html>"); out.println("<head><title>TimerServlet</title></head>"); // try { // logMessage("service() entering try block to intialize the timer from JNDI", out); // InitialContext ic = new InitialContext(); TimerManager jobScheduler = (TimerManager)ic.lookup("weblogic.JobScheduler"); // logMessage("jobScheduler reference " + jobScheduler, out); // jobScheduler.schedule(new ExampleTimerListener(), 0, 30*1000); // logMessage("Timer scheduled!", out); // //execute this job every 30 seconds logMessage("service() started the timer", out); // logMessage("Started the timer - status:", out); // } catch (NamingException ne) { String msg = ne.getMessage(); logMessage("Timer schedule failed!", out); logMessage(msg, out); } catch (Throwable t) { logMessage("service() error initializing timer manager with JNDI name weblogic.JobScheduler " + t,out); } // out.println("</body></html>"); out.close(); } private static class ExampleTimerListener implements Serializable, TimerListener { private static final long serialVersionUID = 8313912206357147939L; public void timerExpired(Timer timer) { SimpleDateFormat sdf = new SimpleDateFormat(); System.out.println( "timerExpired() called at " + sdf.format( new Date() ) ); } } } Then I executed the servlet to start the scheduling on the first managed instance (Noddy server), which returned as expected: (Servlet execution output) service() entering try block to intialize the timer from JNDI jobScheduler reference weblogic.scheduler.TimerServiceImpl@43b4c7 Timer scheduled! service() started the timer Started the timer - status: Which resulted in the creation of 2 rows in my DB tables: WEBLOGIC_TIMERS table state after servlet execution: "EDIT"; "TIMER_ID"; "LISTENER"; "START_TIME"; "INTERVAL"; "TIMER_MANAGER_NAME"; "DOMAIN_NAME"; "CLUSTER_NAME"; ""; "Noddy_1268653040156"; "[datatype]"; "1268653040156"; "30000"; "weblogic.JobScheduler"; "myCluster"; "Cluster" ACTIVE table state after servlet execution: "EDIT"; "SERVER"; "INSTANCE"; "DOMAINNAME"; "CLUSTERNAME"; "TIMEOUT"; ""; "service.SINGLETON_MASTER"; "6382071947583985002/Noddy"; "QRENcluster"; "Cluster"; "10.03.15" Although, the job is not executed as scheduled. It should print a message on the server's log output (Noddy.out file) with a timestamp, saying that the timer had expired. It doesn't. My log files state as follows: Admin server log (myCluster.log file): ####<15/Mar/2010 10H45m GMT> <Warning> <Cluster> <test-ad> <Noddy> <[STANDBY] ExecuteThread: '1' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268649925727> <BEA-000192> <No currently living server was found that could host TimerMaster. The server will retry in a few seconds.> Noddy server log (Noddy.out file): service() entering try block to intialize the timer from JNDI jobScheduler reference weblogic.scheduler.TimerServiceImpl@43b4c7 Timer scheduled! service() started the timer Started the timer - status: <15/Mar/2010 10H45m GMT> <Warning> <Cluster> <BEA-000192> <No currently living server was found that could host TimerMaster. The server will retry in a few seconds.> (Noddy.log file): ####<15/Mar/2010 11H24m GMT> <Info> <Common> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268652270128> <BEA-000628> <Created "1" resources for pool "TxDataSourceOracle", out of which "1" are available and "0" are unavailable.> ####<15/Mar/2010 11H37m GMT> <Info> <Cluster> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<anonymous>> <> <> <1268653040226> <BEA-000182> <Job Scheduler created a job with ID Noddy_1268653040156 for TimerListener with description timedexecution.TimerServlet$ExampleTimerListener@2ce79a> ####<15/Mar/2010 11H39m GMT> <Info> <JDBC> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '3' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268653166307> <BEA-001128> <Connection for pool "TxDataSourceOracle" closed.> Can anyone help me out discovering what's wrong with my configuration? Thanks in advance for your help!

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  • JMS MQ Connection closed in JSF 2 SessionBean

    - by veote
    I use Websphere Application Server 8 with MQ Series as Messaging Queue. When I open close the connection in sessionbean in a "postConstruct" method and I use it in another method then its closed. My Code is: import java.io.Serializable; import javax.annotation.PostConstruct; import javax.annotation.PreDestroy; import javax.annotation.Resource; import javax.faces.application.FacesMessage; import javax.faces.bean.ManagedBean; import javax.faces.bean.SessionScoped; import javax.faces.context.FacesContext; import javax.jms.JMSException; import javax.jms.Queue; import javax.jms.QueueConnection; import javax.jms.QueueConnectionFactory; import javax.jms.QueueSender; import javax.jms.QueueSession; import javax.jms.Session; import javax.jms.TextMessage; @ManagedBean @SessionScoped public class MQRequest implements Serializable { private static final long serialVersionUID = 1L; @Resource(name = "jms/wasmqtest/wasmqtest_QCF") private QueueConnectionFactory connectionFactory; @Resource(name = "jms/wasmqtest/Request_Q") private Queue requestQueue; private QueueConnection connection; private String text = ""; public void sendMessage() { System.out.println("Connection in sendMessage: \n" + connection); TextMessage msg; try { QueueSession queueSession = connection.createQueueSession(false, Session.AUTO_ACKNOWLEDGE); QueueSender sender = queueSession.createSender(requestQueue); msg = queueSession.createTextMessage(text); sender.send(msg); queueSession.close(); sender.close(); } catch (JMSException e) { // TODO Auto-generated catch block e.printStackTrace(); } text = ""; } @PostConstruct public void openConenction() { System.out.println("Open Connection"); try { connection = connectionFactory.createQueueConnection(); connection.start(); System.out.println("Connection in OpenConnectioN: \n" + connection); } catch (JMSException e) { e.printStackTrace(); } } @PreDestroy public void closeConnection() { try { System.out.println("Closing Connection"); connection.close(); } catch (JMSException e) { e.printStackTrace(); } } public void setText(String text) { this.text = text; } public String getText() { return text; } } In PostConstruct method the connection is initialized: [21.10.13 07:36:05:574 CEST] 00000025 SystemOut O Connection in OpenConnectioN: com.ibm.ejs.jms.JMSQueueConnectionHandle@36c9b1a managed connection = com.ibm.ejs.jms.JMSManagedQueueConnection@3657e8b physical connection = com.ibm.mq.jms.MQXAQueueConnection@36618b6 closed = false invalid = false restricted methods enabled = false open session handles = [] temporary queues = [] But in sendMessage() method it isnt and I get a ConnectionClosed Problem: [21.10.13 07:36:12:493 CEST] 00000025 SystemOut O Connection in sendMessage: com.ibm.ejs.jms.JMSQueueConnectionHandle@36c9b1a managed connection = null physical connection = null closed = true invalid = false restricted methods enabled = false open session handles = [] temporary queues = [] 21.10.13 07:36:12:461 CEST] 00000025 SystemErr R 15 [WebContainer : 3] INFO org.apache.bval.jsr303.ConfigurationImpl - ignoreXmlConfiguration == true [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R javax.jms.IllegalStateException: Connection closed [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at com.ibm.ejs.jms.JMSConnectionHandle.checkOpen(JMSConnectionHandle.java:821) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at com.ibm.ejs.jms.JMSQueueConnectionHandle.createQueueSession(JMSQueueConnectionHandle.java:206) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at de.volkswagen.wasmqtest.queue.MQRequest.sendMessage(MQRequest.java:51) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:60) [21.10.13 07:36:12:601 CEST] 00000025 SystemErr R at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:37) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at java.lang.reflect.Method.invoke(Method.java:611) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.el.parser.AstValue.invoke(AstValue.java:262) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.el.MethodExpressionImpl.invoke(MethodExpressionImpl.java:278) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.myfaces.view.facelets.el.TagMethodExpression.invoke(TagMethodExpression.java:83) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component._MethodExpressionToMethodBinding.invoke(_MethodExpressionToMethodBinding.java:88) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.myfaces.application.ActionListenerImpl.processAction(ActionListenerImpl.java:100) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UICommand.broadcast(UICommand.java:120) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot._broadcastAll(UIViewRoot.java:973) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot.broadcastEvents(UIViewRoot.java:275) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot._process(UIViewRoot.java:1285) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at javax.faces.component.UIViewRoot.processApplication(UIViewRoot.java:711) [21.10.13 07:36:12:602 CEST] 00000025 SystemErr R at org.apache.myfaces.lifecycle.InvokeApplicationExecutor.execute(InvokeApplicationExecutor.java:34) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at org.apache.myfaces.lifecycle.LifecycleImpl.executePhase(LifecycleImpl.java:171) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at org.apache.myfaces.lifecycle.LifecycleImpl.execute(LifecycleImpl.java:118) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at javax.faces.webapp.FacesServlet.service(FacesServlet.java:189) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.service(ServletWrapper.java:1147) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.handleRequest(ServletWrapper.java:722) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.handleRequest(ServletWrapper.java:449) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapperImpl.handleRequest(ServletWrapperImpl.java:178) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.filter.WebAppFilterManager.invokeFilters(WebAppFilterManager.java:1020) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.webapp.WebApp.handleRequest(WebApp.java:3703) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.webapp.WebGroup.handleRequest(WebGroup.java:304) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.WebContainer.handleRequest(WebContainer.java:953) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.WSWebContainer.handleRequest(WSWebContainer.java:1655) [21.10.13 07:36:12:603 CEST] 00000025 SystemErr R at com.ibm.ws.webcontainer.channel.WCChannelLink.ready(WCChannelLink.java:195) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.handleDiscrimination(HttpInboundLink.java:452) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.handleNewRequest(HttpInboundLink.java:511) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.processRequest(HttpInboundLink.java:305) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpICLReadCallback.complete(HttpICLReadCallback.java:83) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.ws.tcp.channel.impl.AioReadCompletionListener.futureCompleted(AioReadCompletionListener.java:165) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.AbstractAsyncFuture.invokeCallback(AbstractAsyncFuture.java:217) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.AsyncChannelFuture.fireCompletionActions(AsyncChannelFuture.java:161) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.AsyncFuture.completed(AsyncFuture.java:138) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.ResultHandler.complete(ResultHandler.java:204) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.ResultHandler.runEventProcessingLoop(ResultHandler.java:775) [21.10.13 07:36:12:604 CEST] 00000025 SystemErr R at com.ibm.io.async.ResultHandler$2.run(ResultHandler.java:905) [21.10.13 07:36:12:605 CEST] 00000025 SystemErr R at com.ibm.ws.util.ThreadPool$Worker.run(ThreadPool.java:1650) Do you have an idea why the connection is closed?

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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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  • Postfix Submission port issue

    - by RevSpot
    I have setup postfix+mailman on my debian server and i have an issue with postfix submission port. My ISP blocks SMTP on port 25 to prevent *spams and i must to use submission port (587). I have uncomment the following line from master.cf (/etc/postfix/) but nothing happens. submission inet n - - - - smtpd This is my mail logs file when i try to invite a user to mailman list Nov 6 00:35:34 myhostname postfix/qmgr[1763]: C90BF1060D: from=<[email protected]>, size=1743, nrcpt=1 (queue active) Nov 6 00:35:34 myhostname postfix/qmgr[1763]: DF54B10608: from=<[email protected]>, size=488, nrcpt=1 (queue active) Nov 6 00:35:34 myhostname postfix/qmgr[1763]: 80F0D10609: from=<[email protected]>, size=483, nrcpt=1 (queue active) Nov 6 00:35:55 myhostname postfix/smtp[2269]: connect to gmail-smtp-in.l.google.com[173.194.70.27]:25: Connection timed out Nov 6 00:35:55 myhostname postfix/smtp[2270]: connect to gmail-smtp-in.l.google.com[173.194.70.27]:25: Connection timed out Nov 6 00:35:55 myhostname postfix/smtp[2271]: connect to gmail-smtp-in.l.google.com[173.194.70.27]:25: Connection timed out Nov 6 00:36:16 myhostname postfix/smtp[2269]: connect to alt1.gmail-smtp-in.l.google.com[74.125.143.26]:25: Connection timed out Nov 6 00:36:16 myhostname postfix/smtp[2270]: connect to alt1.gmail-smtp-in.l.google.com[74.125.143.26]:25: Connection timed out Nov 6 00:36:16 myhostname postfix/smtp[2271]: connect to alt1.gmail-smtp-in.l.google.com[74.125.143.26]:25: Connection timed out Nov 6 00:36:37 myhostname postfix/smtp[2269]: connect to alt2.gmail-smtp-in.l.google.com[74.125.141.26]:25: Connection timed out Nov 6 00:36:37 myhostname postfix/smtp[2270]: connect to alt2.gmail-smtp-in.l.google.com[74.125.141.26]:25: Connection timed out Nov 6 00:36:37 myhostname4 postfix/smtp[2271]: connect to alt2.gmail-smtp-in.l.google.com[74.125.141.26]:25: Connection timed out Nov 6 00:36:58 myhostname postfix/smtp[2269]: connect to alt3.gmail-smtp-in.l.google.com[173.194.64.26]:25: Connection timed out Nov 6 00:36:58 myhostname postfix/smtp[2270]: connect to alt3.gmail-smtp-in.l.google.com[173.194.64.26]:25: Connection timed out Nov 6 00:36:58 myhostname postfix/smtp[2271]: connect to alt3.gmail-smtp-in.l.google.com[173.194.64.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2269]: connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2270]: connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2269]: C90BF1060D: to=<[email protected]>, relay=none, delay=23711, delays=23606/0.03/105/0, dsn=4.4.1, status=deferred (connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out) Nov 6 00:37:19 myhostname postfix/smtp[2271]: connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out Nov 6 00:37:19 myhostname postfix/smtp[2270]: DF54B10608: to=<[email protected]>, relay=none, delay=23882, delays=23777/0.03/105/0, dsn=4.4.1, status=deferred (connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out) Nov 6 00:37:19 myhostname postfix/smtp[2271]: 80F0D10609: to=<[email protected]>, relay=none, delay=23875, delays=23770/0.04/105/0, dsn=4.4.1, status=deferred (connect to alt4.gmail-smtp-in.l.google.com[74.125.142.26]:25: Connection timed out) main.cf smtpd_banner = $myhostname ESMTP $mail_name (Debian/GNU) biff = no append_dot_mydomain = no readme_directory = no smtpd_tls_cert_file=/etc/ssl/certs/ssl-cert-snakeoil.pem smtpd_tls_key_file=/etc/ssl/private/ssl-cert-snakeoil.key smtpd_use_tls=yes smtpd_tls_session_cache_database = btree:${data_directory}/smtpd_scache smtp_tls_session_cache_database = btree:${data_directory}/smtp_scache myhostname = mail.mydomain.com alias_maps = hash:/etc/aliases alias_database = hash:/etc/aliases myorigin = /etc/mailname mydestination = mail.mydomain.com, localhost.mydomain.com,localhost relayhost = relay_domains = $mydestination, mail.mydomain.com relay_recipient_maps = hash:/var/lib/mailman/data/virtual-mailman transport_maps = hash:/etc/postfix/transport mailman_destination_recipient_limit = 1 mynetworks = 127.0.0.0/8 [::ffff:127.0.0.0]/104 [::1]/128 mailbox_command = procmail -a "$EXTENSION" mailbox_size_limit = 0 recipient_delimiter = + inet_interfaces = all local_recipient_maps = master.cf smtp inet n - - - - smtpd submission inet n - - - - smtpd # -o smtpd_tls_security_level=encrypt # -o smtpd_sasl_auth_enable=yes # -o smtpd_client_restrictions=permit_sasl_authenticated,reject # -o milter_macro_daemon_name=ORIGINATING #smtps inet n - - - - smtpd # -o smtpd_tls_wrappermode=yes # -o smtpd_sasl_auth_enable=yes # -o smtpd_client_restrictions=permit_sasl_authenticated,reject # -o milter_macro_daemon_name=ORIGINATING #628 inet n - - - - qmqpd pickup fifo n - - 60 1 pickup cleanup unix n - - - 0 cleanup qmgr fifo n - n 300 1 qmgr #qmgr fifo n - - 300 1 oqmgr tlsmgr unix - - - 1000? 1 tlsmgr rewrite unix - - - - - trivial-rewrite bounce unix - - - - 0 bounce defer unix - - - - 0 bounce trace unix - - - - 0 bounce verify unix - - - - 1 verify flush unix n - - 1000? 0 flush proxymap unix - - n - - proxymap proxywrite unix - - n - 1 proxymap smtp unix - - - - - smtp # When relaying mail as backup MX, disable fallback_relay to avoid MX loops relay unix - - - - - smtp -o smtp_fallback_relay= # -o smtp_helo_timeout=5 -o smtp_connect_timeout=5 showq unix n - - - - showq error unix - - - - - error retry unix - - - - - error discard unix - - - - - discard local unix - n n - - local virtual unix - n n - - virtual lmtp unix - - - - - lmtp anvil unix - - - - 1 anvil scache unix - - - - 1 scache # # ==================================================================== # # maildrop. See the Postfix MAILDROP_README file for details. # Also specify in main.cf: maildrop_destination_recipient_limit=1 # maildrop unix - n n - - pipe flags=DRhu user=vmail argv=/usr/bin/maildrop -d ${recipient} # # ==================================================================== # # See the Postfix UUCP_README file for configuration details. # uucp unix - n n - - pipe flags=Fqhu user=uucp argv=uux -r -n -z -a$sender - $nexthop!rmail ($recipient) # # Other external delivery methods. # ifmail unix - n n - - pipe flags=F user=ftn argv=/usr/lib/ifmail/ifmail -r $nexthop ($recipient) bsmtp unix - n n - - pipe flags=Fq. user=bsmtp argv=/usr/lib/bsmtp/bsmtp -t$nexthop -f$sender $recipient scalemail-backend unix - n n - 2 pipe flags=R user=scalemail argv=/usr/lib/scalemail/bin/scalemail-store ${nexthop} ${user} ${extension} mailman unix - n n - - pipe flags=FR user=list argv=/usr/lib/mailman/bin/postfix-to-mailman.py ${nexthop} ${user}

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  • Create user in Oracle 11g with same priviledges as in Oracle 10g XE

    - by Álvaro G. Vicario
    I'm a PHP developer (not a DBA) and I've been working with Oracle 10g XE for a while. I'm used to XE's simplified user management: Go to Administration/ Users/ Create user Assign user name and password Roles: leave the default ones (connect and resource) Privileges: click on "Enable all" to select the 11 possible ones Create This way I get a user that has full access to its data and no access to everything else. This is fine since I only need it to develop my app. When the app is to be deployed, the client's DBAs configure the environment. Now I have to create users in a full Oracle 11g server and I'm completely lost. I have a new concept (profiles) and there're like 20 roles and hundreds of privileges in various categories. What steps do I need to complete in Oracle Enterprise Manager in order to obtain a user with the same privileges I used to assign in XE? ==== UPDATE ==== I think I'd better provide a detailed explanation so I make myself clearer. This is how I create a user in 10g XE: Roles: [X] CONNECT [X] RESOURCE [ ] DBA Direct Asignment System Privileges: [ ] CREATE DATABASE LINK [ ] CREATE MATERIALIZED VIEW [ ] CREATE PROCEDURE [ ] CREATE PUBLIC SYNONYM [ ] CREATE ROLE [ ] CREATE SEQUENCE [ ] CREATE SYNONYM [ ] CREATE TABLE [ ] CREATE TRIGGER [ ] CREATE TYPE [ ] CREATE VIEW I click on Enable All and I'm done. This is what I'm asked when doing the same in 11g: Profile: (*) DEFAULT ( ) WKSYS_PROF ( ) MONITORING_PROFILE Roles: CONNECT: [ ] Admin option [X] Default value Edit List: AQ_ADMINISTRATOR_ROLE AQ_USER_ROLE AUTHENTICATEDUSER CSW_USR_ROLE CTXAPP CWM_USER DATAPUMP_EXP_FULL_DATABASE DATAPUMP_IMP_FULL_DATABASE DBA DELETE_CATALOG_ROLE EJBCLIENT EXECUTE_CATALOG_ROLE EXP_FULL_DATABASE GATHER_SYSTEM_STATISTICS GLOBAL_AQ_USER_ROLE HS_ADMIN_ROLE IMP_FULL_DATABASE JAVADEBUGPRIV JAVAIDPRIV JAVASYSPRIV JAVAUSERPRIV JAVA_ADMIN JAVA_DEPLOY JMXSERVER LOGSTDBY_ADMINISTRATOR MGMT_USER OEM_ADVISOR OEM_MONITOR OLAPI_TRACE_USER OLAP_DBA OLAP_USER OLAP_XS_ADMIN ORDADMIN OWB$CLIENT OWB_DESIGNCENTER_VIEW OWB_USER RECOVERY_CATALOG_OWNER RESOURCE SCHEDULER_ADMIN SELECT_CATALOG_ROLE SPATIAL_CSW_ADMIN SPATIAL_WFS_ADMIN WFS_USR_ROLE WKUSER WM_ADMIN_ROLE XDBADMIN XDB_SET_INVOKER XDB_WEBSERVICES XDB_WEBSERVICES_OVER_HTTP XDB_WEBSERVICES_WITH_PUBLIC System Privileges: <Empty> Edit List: ACCESS_ANY_WORKSPACE ADMINISTER ANY SQL TUNING SET ADMINISTER DATABASE TRIGGER ADMINISTER RESOURCE MANAGER ADMINISTER SQL MANAGEMENT OBJECT ADMINISTER SQL TUNING SET ADVISOR ALTER ANY ASSEMBLY ALTER ANY CLUSTER ALTER ANY CUBE ALTER ANY CUBE DIMENSION ALTER ANY DIMENSION ALTER ANY EDITION ALTER ANY EVALUATION CONTEXT ALTER ANY INDEX ALTER ANY INDEXTYPE ALTER ANY LIBRARY ALTER ANY MATERIALIZED VIEW ALTER ANY MINING MODEL ALTER ANY OPERATOR ALTER ANY OUTLINE ALTER ANY PROCEDURE ALTER ANY ROLE ALTER ANY RULE ALTER ANY RULE SET ALTER ANY SEQUENCE ALTER ANY SQL PROFILE ALTER ANY TABLE ALTER ANY TRIGGER ALTER ANY TYPE ALTER DATABASE ALTER PROFILE ALTER RESOURCE COST ALTER ROLLBACK SEGMENT ALTER SESSION ALTER SYSTEM ALTER TABLESPACE ALTER USER ANALYZE ANY ANALYZE ANY DICTIONARY AUDIT ANY AUDIT SYSTEM BACKUP ANY TABLE BECOME USER CHANGE NOTIFICATION COMMENT ANY MINING MODEL COMMENT ANY TABLE CREATE ANY ASSEMBLY CREATE ANY CLUSTER CREATE ANY CONTEXT CREATE ANY CUBE CREATE ANY CUBE BUILD PROCESS CREATE ANY CUBE DIMENSION CREATE ANY DIMENSION CREATE ANY DIRECTORY CREATE ANY EDITION CREATE ANY EVALUATION CONTEXT CREATE ANY INDEX CREATE ANY INDEXTYPE CREATE ANY JOB CREATE ANY LIBRARY CREATE ANY MATERIALIZED VIEW CREATE ANY MEASURE FOLDER CREATE ANY MINING MODEL CREATE ANY OPERATOR CREATE ANY OUTLINE CREATE ANY PROCEDURE CREATE ANY RULE CREATE ANY RULE SET CREATE ANY SEQUENCE CREATE ANY SQL PROFILE CREATE ANY SYNONYM CREATE ANY TABLE CREATE ANY TRIGGER CREATE ANY TYPE CREATE ANY VIEW CREATE ASSEMBLY CREATE CLUSTER CREATE CUBE CREATE CUBE BUILD PROCESS CREATE CUBE DIMENSION CREATE DATABASE LINK CREATE DIMENSION CREATE EVALUATION CONTEXT CREATE EXTERNAL JOB CREATE INDEXTYPE CREATE JOB CREATE LIBRARY CREATE MATERIALIZED VIEW CREATE MEASURE FOLDER CREATE MINING MODEL CREATE OPERATOR CREATE PROCEDURE CREATE PROFILE CREATE PUBLIC DATABASE LINK CREATE PUBLIC SYNONYM CREATE ROLE CREATE ROLLBACK SEGMENT CREATE RULE CREATE RULE SET CREATE SEQUENCE CREATE SESSION CREATE SYNONYM CREATE TABLE CREATE TABLESPACE CREATE TRIGGER CREATE TYPE CREATE USER CREATE VIEW CREATE_ANY_WORKSPACE DEBUG ANY PROCEDURE DEBUG CONNECT SESSION DELETE ANY CUBE DIMENSION DELETE ANY MEASURE FOLDER DELETE ANY TABLE DEQUEUE ANY QUEUE DROP ANY ASSEMBLY DROP ANY CLUSTER DROP ANY CONTEXT DROP ANY CUBE DROP ANY CUBE BUILD PROCESS DROP ANY CUBE DIMENSION DROP ANY DIMENSION DROP ANY DIRECTORY DROP ANY EDITION DROP ANY EVALUATION CONTEXT DROP ANY INDEX DROP ANY INDEXTYPE DROP ANY LIBRARY DROP ANY MATERIALIZED VIEW DROP ANY MEASURE FOLDER DROP ANY MINING MODEL DROP ANY OPERATOR DROP ANY OUTLINE DROP ANY PROCEDURE DROP ANY ROLE DROP ANY RULE DROP ANY RULE SET DROP ANY SEQUENCE DROP ANY SQL PROFILE DROP ANY SYNONYM DROP ANY TABLE DROP ANY TRIGGER DROP ANY TYPE DROP ANY VIEW DROP PROFILE DROP PUBLIC DATABASE LINK DROP PUBLIC SYNONYM DROP ROLLBACK SEGMENT DROP TABLESPACE DROP USER ENQUEUE ANY QUEUE EXECUTE ANY ASSEMBLY EXECUTE ANY CLASS EXECUTE ANY EVALUATION CONTEXT EXECUTE ANY INDEXTYPE EXECUTE ANY LIBRARY EXECUTE ANY OPERATOR EXECUTE ANY PROCEDURE EXECUTE ANY PROGRAM EXECUTE ANY RULE EXECUTE ANY RULE SET EXECUTE ANY TYPE EXECUTE ASSEMBLY EXPORT FULL DATABASE FLASHBACK ANY TABLE FLASHBACK ARCHIVE ADMINISTER FORCE ANY TRANSACTION FORCE TRANSACTION FREEZE_ANY_WORKSPACE GLOBAL QUERY REWRITE GRANT ANY OBJECT PRIVILEGE GRANT ANY PRIVILEGE GRANT ANY ROLE IMPORT FULL DATABASE INSERT ANY CUBE DIMENSION INSERT ANY MEASURE FOLDER INSERT ANY TABLE LOCK ANY TABLE MANAGE ANY FILE GROUP MANAGE ANY QUEUE MANAGE FILE GROUP MANAGE SCHEDULER MANAGE TABLESPACE MERGE ANY VIEW MERGE_ANY_WORKSPACE ON COMMIT REFRESH QUERY REWRITE READ ANY FILE GROUP REMOVE_ANY_WORKSPACE RESTRICTED SESSION RESUMABLE ROLLBACK_ANY_WORKSPACE SELECT ANY CUBE SELECT ANY CUBE DIMENSION SELECT ANY DICTIONARY SELECT ANY MINING MODEL SELECT ANY SEQUENCE SELECT ANY TABLE SELECT ANY TRANSACTION UNDER ANY TABLE UNDER ANY TYPE UNDER ANY VIEW UNLIMITED TABLESPACE UPDATE ANY CUBE UPDATE ANY CUBE BUILD PROCESS UPDATE ANY CUBE DIMENSION UPDATE ANY TABLE Object Privileges: <Empty> Add: Clase Java Clases de Trabajos Cola Columna de Tabla Columna de Vista Espacio de Trabajo Función Instantánea Origen Java Paquete Planificaciones Procedimiento Programas Secuencia Sinónimo Tabla Tipos Trabajos Vista Consumer Group Privileges: <Empty> Default Consumer Group: (*) None Edit List: AUTO_TASK_CONSUMER_GROUP BATCH_GROUP DEFAULT_CONSUMER_GROUP INTERACTIVE_GROUP LOW_GROUP ORA$AUTOTASK_HEALTH_GROUP ORA$AUTOTASK_MEDIUM_GROUP ORA$AUTOTASK_SPACE_GROUP ORA$AUTOTASK_SQL_GROUP ORA$AUTOTASK_STATS_GROUP ORA$AUTOTASK_URGENT_GROUP ORA$DIAGNOSTICS SYS_GROUP And, of course, I wonder what options I should pick.

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  • Login loop in Snow Leopard

    - by hgpc
    I can't get out of a login loop of a particular admin user. After entering the password the login screen is shown again after about a minute. Other users work fine. It started happening after a simple reboot. Can you please help me? Thank you! Tried to no avail: Change the password Remove the password Repair disk (no errors) Boot in safe mode Reinstall Snow Leopard and updating to 10.6.6 Remove content of ~/Library/Caches Removed content of ~/Library/Preferences Replaced /etc/authorization with Install DVD copy The system.log mentions a crash report. I'm including both below. system.log Jan 8 02:43:30 loginwindow218: Login Window - Returned from Security Agent Jan 8 02:43:30 loginwindow218: USER_PROCESS: 218 console Jan 8 02:44:42 kernel[0]: Jan 8 02:44:43: --- last message repeated 1 time --- Jan 8 02:44:43 com.apple.launchd[1] (com.apple.loginwindow218): Job appears to have crashed: Bus error Jan 8 02:44:43 com.apple.UserEventAgent-LoginWindow223: ALF error: cannot find useragent 1102 Jan 8 02:44:43 com.apple.UserEventAgent-LoginWindow223: plugin.UserEventAgentFactory: called with typeID=FC86416D-6164-2070-726F-70735C216EC0 Jan 8 02:44:43 /System/Library/CoreServices/loginwindow.app/Contents/MacOS/loginwindow233: Login Window Application Started Jan 8 02:44:43 SecurityAgent228: CGSShutdownServerConnections: Detaching application from window server Jan 8 02:44:43 com.apple.ReportCrash.Root232: 2011-01-08 02:44:43.936 ReportCrash232:2903 Saved crash report for loginwindow218 version ??? (???) to /Library/Logs/DiagnosticReports/loginwindow_2011-01-08-024443_localhost.crash Jan 8 02:44:44 SecurityAgent228: MIG: server died: CGSReleaseShmem : Cannot release shared memory Jan 8 02:44:44 SecurityAgent228: kCGErrorFailure: Set a breakpoint @ CGErrorBreakpoint() to catch errors as they are logged. Jan 8 02:44:44 SecurityAgent228: CGSDisplayServerShutdown: Detaching display subsystem from window server Jan 8 02:44:44 SecurityAgent228: HIToolbox: received notification of WindowServer event port death. Jan 8 02:44:44 SecurityAgent228: port matched the WindowServer port created in BindCGSToRunLoop Jan 8 02:44:44 loginwindow233: Login Window Started Security Agent Jan 8 02:44:44 WindowServer234: kCGErrorFailure: Set a breakpoint @ CGErrorBreakpoint() to catch errors as they are logged. Jan 8 02:44:44 com.apple.WindowServer234: Sat Jan 8 02:44:44 .local WindowServer234 <Error>: kCGErrorFailure: Set a breakpoint @ CGErrorBreakpoint() to catch errors as they are logged. Jan 8 02:44:54 SecurityAgent243: NSSecureTextFieldCell detected a field editor ((null)) that is not a NSTextView subclass designed to work with the cell. Ignoring... Crash report Process: loginwindow 218 Path: /System/Library/CoreServices/loginwindow.app/Contents/MacOS/loginwindow Identifier: loginwindow Version: ??? (???) Code Type: X86-64 (Native) Parent Process: launchd [1] Date/Time: 2011-01-08 02:44:42.748 +0100 OS Version: Mac OS X 10.6.6 (10J567) Report Version: 6 Exception Type: EXC_BAD_ACCESS (SIGBUS) Exception Codes: 0x000000000000000a, 0x000000010075b000 Crashed Thread: 0 Dispatch queue: com.apple.main-thread Thread 0 Crashed: Dispatch queue: com.apple.main-thread 0 com.apple.security 0x00007fff801c6e8b Security::ReadSection::at(unsigned int) const + 25 1 com.apple.security 0x00007fff801c632f Security::DbVersion::open() + 123 2 com.apple.security 0x00007fff801c5e41 Security::DbVersion::DbVersion(Security::AppleDatabase const&, Security::RefPointer<Security::AtomicBufferedFile> const&) + 179 3 com.apple.security 0x00007fff801c594e Security::DbModifier::getDbVersion(bool) + 330 4 com.apple.security 0x00007fff801c57f5 Security::DbModifier::openDatabase() + 33 5 com.apple.security 0x00007fff801c5439 Security::Database::_dbOpen(Security::DatabaseSession&, unsigned int, Security::AccessCredentials const*, void const*) + 221 6 com.apple.security 0x00007fff801c4841 Security::DatabaseManager::dbOpen(Security::DatabaseSession&, Security::DbName const&, unsigned int, Security::AccessCredentials const*, void const*) + 77 7 com.apple.security 0x00007fff801c4723 Security::DatabaseSession::DbOpen(char const*, cssm_net_address const*, unsigned int, Security::AccessCredentials const*, void const*, long&) + 285 8 com.apple.security 0x00007fff801d8414 cssm_DbOpen(long, char const*, cssm_net_address const*, unsigned int, cssm_access_credentials const*, void const*, long*) + 108 9 com.apple.security 0x00007fff801d7fba CSSM_DL_DbOpen + 106 10 com.apple.security 0x00007fff801d62f6 Security::CssmClient::DbImpl::open() + 162 11 com.apple.security 0x00007fff801d8977 SSDatabaseImpl::open(Security::DLDbIdentifier const&) + 53 12 com.apple.security 0x00007fff801d8715 SSDLSession::DbOpen(char const*, cssm_net_address const*, unsigned int, Security::AccessCredentials const*, void const*, long&) + 263 13 com.apple.security 0x00007fff801d8414 cssm_DbOpen(long, char const*, cssm_net_address const*, unsigned int, cssm_access_credentials const*, void const*, long*) + 108 14 com.apple.security 0x00007fff801d7fba CSSM_DL_DbOpen + 106 15 com.apple.security 0x00007fff801d62f6 Security::CssmClient::DbImpl::open() + 162 16 com.apple.security 0x00007fff802fa786 Security::CssmClient::DbImpl::unlock(cssm_data const&) + 28 17 com.apple.security 0x00007fff80275b5d Security::KeychainCore::KeychainImpl::unlock(Security::CssmData const&) + 89 18 com.apple.security 0x00007fff80291a06 Security::KeychainCore::StorageManager::login(unsigned int, void const*, unsigned int, void const*) + 3336 19 com.apple.security 0x00007fff802854d3 SecKeychainLogin + 91 20 com.apple.loginwindow 0x000000010000dfc5 0x100000000 + 57285 21 com.apple.loginwindow 0x000000010000cfb4 0x100000000 + 53172 22 com.apple.Foundation 0x00007fff8721e44f __NSThreadPerformPerform + 219 23 com.apple.CoreFoundation 0x00007fff82627401 __CFRunLoopDoSources0 + 1361 24 com.apple.CoreFoundation 0x00007fff826255f9 __CFRunLoopRun + 873 25 com.apple.CoreFoundation 0x00007fff82624dbf CFRunLoopRunSpecific + 575 26 com.apple.HIToolbox 0x00007fff8444493a RunCurrentEventLoopInMode + 333 27 com.apple.HIToolbox 0x00007fff8444473f ReceiveNextEventCommon + 310 28 com.apple.HIToolbox 0x00007fff844445f8 BlockUntilNextEventMatchingListInMode + 59 29 com.apple.AppKit 0x00007fff80b01e64 _DPSNextEvent + 718 30 com.apple.AppKit 0x00007fff80b017a9 -NSApplication nextEventMatchingMask:untilDate:inMode:dequeue: + 155 31 com.apple.AppKit 0x00007fff80ac748b -NSApplication run + 395 32 com.apple.loginwindow 0x0000000100004b16 0x100000000 + 19222 33 com.apple.loginwindow 0x0000000100004580 0x100000000 + 17792 Thread 1: Dispatch queue: com.apple.libdispatch-manager 0 libSystem.B.dylib 0x00007fff8755216a kevent + 10 1 libSystem.B.dylib 0x00007fff8755403d _dispatch_mgr_invoke + 154 2 libSystem.B.dylib 0x00007fff87553d14 _dispatch_queue_invoke + 185 3 libSystem.B.dylib 0x00007fff8755383e _dispatch_worker_thread2 + 252 4 libSystem.B.dylib 0x00007fff87553168 _pthread_wqthread + 353 5 libSystem.B.dylib 0x00007fff87553005 start_wqthread + 13 Thread 0 crashed with X86 Thread State (64-bit): rax: 0x000000010075b000 rbx: 0x00007fff5fbfd990 rcx: 0x00007fff875439da rdx: 0x0000000000000000 rdi: 0x00007fff5fbfd990 rsi: 0x0000000000000000 rbp: 0x00007fff5fbfd5d0 rsp: 0x00007fff5fbfd5d0 r8: 0x0000000000000007 r9: 0x0000000000000000 r10: 0x00007fff8753beda r11: 0x0000000000000202 r12: 0x0000000100133e78 r13: 0x00007fff5fbfda50 r14: 0x00007fff5fbfda50 r15: 0x00007fff5fbfdaa0 rip: 0x00007fff801c6e8b rfl: 0x0000000000010287 cr2: 0x000000010075b000

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  • Nginx + Haproxy + Thin + Rails - 503 Service Unavailable -

    - by Luca G. Soave
    I don't know how troubleshoot this. I get "503 Service Unavailable" http error for all "nginx upstreams" proxy passing calls to haproxy fast_thin and slow_thin ( server 127.0.0.1:3100 and server 127.0.0.1:3200 ), which loadbalance on 6 Thin servers ( 127.0.0.1:3000 .. 3005 ). Static files like /blog are currently fine. The falldown is: nginx on port 80 - haproxy on 3100 and 3200 - thin on 3000 .. 3005 and then Rails. Here it is /etc/nginx/nginx.conf : user nginx; worker_processes 2; pid /var/run/nginx.pid; events { worker_connections 1024; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; sendfile on; tcp_nopush on; keepalive_timeout 65; tcp_nodelay on; include /etc/nginx/conf.d/*.conf; } then /etc/nginx/conf.d/default.conf upstream fast_thin { server 127.0.0.1:3100; } upstream slow_thin { server 127.0.0.1:3200; } server { listen 80; server_name www.gitwatcher.com; rewrite ^/(.*) http://gitwatcher.com/$1 permanent; } server { listen 80; server_name gitwatcher.com; access_log /var/www/gitwatcher/log/access.log; error_log /var/www/gitwatcher/log/error.log; root /var/www/gitwatcher/public; # index index.html; location /about { proxy_pass http://fast_thin; break; } location /trends { proxy_pass http://slow_thin; break; } location /categories { proxy_pass http://slow_thin; break; } location /signout { proxy_pass http://slow_thin; break; } location /auth/github { proxy_pass http://slow_thin; break; } location / { proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header Host $http_host; proxy_redirect off; if (-f $request_filename/index.html) { rewrite (.*) $1/index.html break; } if (-f $request_filename.html) { rewrite (.*) $1.html break; } if (!-f $request_filename) { proxy_pass http://slow_thin; break; } } } then haproxy config file /etc/haproxy/haproxy.cfg : global log 127.0.0.1 local0 log 127.0.0.1 local1 notice #log loghost local0 info maxconn 4096 #chroot /usr/share/haproxy user haproxy group haproxy daemon #debug #quiet nbproc 1 # number of processing cores defaults log global retries 3 maxconn 2000 contimeout 5000 mode http clitimeout 60000 # maximum inactivity time on the client side srvtimeout 30000 # maximum inactivity time on the server side timeout connect 4000 # maximum time to wait for a connection attempt to a server to succeed option httplog option dontlognull option redispatch option httpclose # disable keepalive (HAProxy does not yet support the HTTP keep-alive mode) option abortonclose # enable early dropping of aborted requests from pending queue option httpchk # enable HTTP protocol to check on servers health option forwardfor # enable insert of X-Forwarded-For headers balance roundrobin # each server is used in turns, according to assigned weight stats enable # enable web-stats at /haproxy?stats stats auth haproxy:pr0xystats # force HTTP Auth to view stats stats refresh 5s # refresh rate of stats page listen rails_proxy 127.0.0.1:3100 # - equal weights on all servers # - maxconn will queue requests at HAProxy if limit is reached # - minconn dynamically scales the connection concurrency (bound my maxconn) depending on size of HAProxy queue # - check health every 20000 microseconds server web1 127.0.0.1:3000 weight 1 minconn 3 maxconn 6 check inter 20000 server web1 127.0.0.1:3001 weight 1 minconn 3 maxconn 6 check inter 20000 server web1 127.0.0.1:3002 weight 1 minconn 3 maxconn 6 check inter 20000 listen slow_proxy 127.0.0.1:3200 # cluster for slow requests, lower the queues, check less frequently server slow1 127.0.0.1:3003 weight 1 minconn 1 maxconn 3 check inter 40000 server slow2 127.0.0.1:3004 weight 1 minconn 1 maxconn 3 check inter 40000 server slow3 127.0.0.1:3005 weight 1 minconn 1 maxconn 3 check inter 40000 and the Thin config file /etc/thin/gitwatcher.yml : --- chdir: /var/www/gitwatcher environment: production address: 0.0.0.0 port: 3000 timeout: 30 log: log/thin.log pid: tmp/pids/thin.pid max_conns: 1024 max_persistent_conns: 100 require: [] wait: 30 servers: 6 daemonize: true if I look into open listen ports, I got the following : root@fullness:/var/www/gitwatcher# lsof | grep TCP | egrep "nginx|haproxy|thin" nginx 834 root 8u IPv4 921 0t0 TCP *:http (LISTEN) nginx 835 nginx 8u IPv4 921 0t0 TCP *:http (LISTEN) nginx 837 nginx 8u IPv4 921 0t0 TCP *:http (LISTEN) haproxy 1908 haproxy 4u IPv4 11699 0t0 TCP localhost:3100 (LISTEN) haproxy 1908 haproxy 6u IPv4 11701 0t0 TCP localhost:3200 (LISTEN) root@fullness:/var/www/gitwatcher# iptables -L get me the following : Chain INPUT (policy DROP) target prot opt source destination ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT tcp -- anywhere anywhere tcp dpt:22222 ACCEPT tcp -- anywhere anywhere tcp dpt:http ACCEPT tcp -- anywhere anywhere tcp dpt:https ACCEPT all -- anywhere anywhere DROP all -- anywhere anywhere Chain FORWARD (policy ACCEPT) target prot opt source destination Chain OUTPUT (policy ACCEPT) target prot opt source destination ACCEPT all -- anywhere anywhere Any help ?

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  • Server being used to send spam mail. How do I investigate?

    - by split_account
    Problem I think my server is being used to send spam with sendmail, I'm getting a lot of mail being queued up that I don't recognize and my mail.log and syslog are getting huge. I've shutdown sendmail, so none of it is getting out but I can't work out where it's coming from. Investigation so far: I've tried the solution in the blog post below and also shown in this thread. It's meant to add a header from wherever the mail is being added and log all all mail to file, so I changed the following lines in my php.ini file: mail.add_x_header = On mail.log = /var/log/phpmail.log But nothing is appearing in the phpmail.log. I used the command here to investigate cron jobs for all users, but nothing is out of place. The only cron being run is the cron for the website. And then I brought up all php files which had been modified in the last 30 days but none of them look suspicious. What else can I do to find where this is coming from? Mail.log reports Turned sendmail back on for second. Here is a small sample of the reports: Jun 10 14:40:30 ubuntu12 sm-mta[13684]: s5ADeQdp013684: from=<>, size=2431, class=0, nrcpts=1, msgid=<[email protected]>, proto=ESMTP, daemon=MTA-v4, relay=localhost [127.0.0.1] Jun 10 14:40:30 ubuntu12 sm-msp-queue[13674]: s5ACK1cC011438: to=www-data, delay=01:20:14, xdelay=00:00:00, mailer=relay, pri=571670, relay=[127.0.0.1] [127.0.0.1], dsn=2.0.0, stat=Sent (s5ADeQdp013684 Message accepted for delivery) Jun 10 14:40:30 ubuntu12 sm-mta[13719]: s5ADeQdp013684: to=<[email protected]>, delay=00:00:00, xdelay=00:00:00, mailer=local, pri=32683, dsn=2.0.0, stat=Sent Jun 10 14:40:30 ubuntu12 sm-mta[13684]: s5ADeQdr013684: from=<[email protected]>, size=677, class=0, nrcpts=1, msgid=<[email protected]>, proto=ESMTP, daemon=MTA-v4, relay=localhost [127.0.0.1] Jun 10 14:40:31 ubuntu12 sm-msp-queue[13674]: s5AC0gpi011125: to=www-data, ctladdr=www-data (33/33), delay=01:39:49, xdelay=00:00:01, mailer=relay, pri=660349, relay=[127.0.0.1] [127.0.0.1], dsn=2.0.0, stat=Sent (s5ADeQdr013684 Message accepted for delivery) Jun 10 14:40:31 ubuntu12 sm-mta[13721]: s5ADeQdr013684: to=<[email protected]>, ctladdr=<[email protected]> (33/33), delay=00:00:01, xdelay=00:00:00, mailer=local, pri=30946, dsn=2.0.0, stat=Sent Jun 10 14:40:31 ubuntu12 sm-mta[13684]: s5ADeQdt013684: from=<[email protected]>, size=677, class=0, nrcpts=1, msgid=<[email protected]>, proto=ESMTP, daemon=MTA-v4, relay=localhost [127.0.0.1] Jun 10 14:40:31 ubuntu12 sm-msp-queue[13674]: s5ACF2Nq011240: to=www-data, ctladdr=www-data (33/33), delay=01:25:29, xdelay=00:00:00, mailer=relay, pri=660349, relay=[127.0.0.1] [127.0.0.1], dsn=2.0.0, stat=Sent (s5ADeQdt013684 Message accepted for delivery) Jun 10 14:40:31 ubuntu12 sm-mta[13723]: s5ADeQdt013684: to=<[email protected]>, ctladdr=<[email protected]> (33/33), delay=00:00:00, xdelay=00:00:00, mailer=local, pri=30946, dsn=2.0.0, stat=Sent Ju Further Investigation Spotted 4 spam accounts registered in the past day, which is suspicious however all have normal user privileges. There are no contact forms on the site, there are a number of forms and they take either filtered text input or plain text input. Mail is still being queued up having switched the website to maintenance mode, which blocks out everyone but the admin. Ok more investigation, it looks like the email is being send by my websites cron which runs every 5 minutes. However there are no cron jobs I've set-up which run more than once an hour and show on the website log so presumably someone has managed to edit my cron somehow. Copy of email: V8 T1402410301 K1402411201 N2 P120349 I253/1/369045 MDeferred: Connection refused by [127.0.0.1] Fbs $_www-data@localhost ${daemon_flags}c u Swww-data [email protected] MDeferred: Connection refused by [127.0.0.1] C:www-data rRFC822; [email protected] RPFD:www-data H?P?Return-Path: <?g> H??Received: (from www-data@localhost) by ubuntu12.pcsmarthosting.co.uk (8.14.4/8.14.4/Submit) id s5AEP13T015507 for www-data; Tue, 10 Jun 2014 15:25:01 +0100 H?D?Date: Tue, 10 Jun 2014 15:25:01 +0100 H?x?Full-Name: CronDaemon H?M?Message-Id: <[email protected]> H??From: root (Cron Daemon) H??To: www-data H??Subject: Cron <www-data@ubuntu12> /usr/bin/drush @main elysia-cron H??Content-Type: text/plain; charset=ANSI_X3.4-1968 H??X-Cron-Env: <PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin> H??X-Cron-Env: <COLUMNS=80> H??X-Cron-Env: <SHELL=/bin/sh> H??X-Cron-Env: <HOME=/var/www> H??X-Cron-Env: <LOGNAME=www-data>

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  • Book Review - Programming Windows Azure by Siriram Krishnan

    - by BuckWoody
    As part of my professional development, I’ve created a list of books to read throughout the year, starting in June of 2011. This a review of the first one, called Programming Windows Azure by Siriram Krishnan. You can find my entire list of books I’m reading for my career here: http://blogs.msdn.com/b/buckwoody/archive/2011/06/07/head-in-the-clouds-eyes-on-the-books.aspx  Why I Chose This Book: As part of my learning style, I try to read multiple books about a single subject. I’ve found that at least 3 books are necessary to get the right amount of information to me. This is a “technical” work, meaning that it deals with technology and not business, writing or other facets of my career. I’ll have a mix of all of those as I read along. I chose this work in addition to others I’ve read since it covers everything from an introduction to more advanced topics in a single book. It also has some practical examples of actually working with the product, particularly on storage. Although it’s dated, many examples normally translate. I also saw that it had pretty good reviews. What I learned: I learned a great deal about storage, and many useful code snippets. I do think that there could have been more of a focus on the application fabric - but of course that wasn’t as mature a feature when this book was written. I learned some great architecture examples, and in one section I learned more about encryption. In that example, however, I would rather have seen the examples go the other way - the book focused on moving data from on-premise to Azure storage in an encrypted fashion. Using the Application Fabric I would rather see sensitive data left in a hybrid fashion on premise, and connect to for the Azure application. Even so, the examples were very useful. If you’re looking for a good “starter” Azure book, this is a good choice. I also recommend the last chapter as a quick read for a DBA, or Database Administrator. It’s not very long, but useful. Note that the limits described are incorrect - which is one of the dangers of reading a book about any cloud offering. The services offered are updated so quickly that the information is in constant danger of being “stale”. Even so, I found this a useful book, which I believe will help me work with Azure better. Raw Notes: I take notes as I read, calling that process “reading with a pencil”. I find that when I do that I pay attention better, and record some things that I need to know later. I’ll take these notes, categorize them into a OneNote notebook that I synchronize in my Live.com account, and that way I can search them from anywhere. I can even read them on the web, since the Live.com has a OneNote program built in. Note that these are the raw notes, so they might not make a lot of sense out of context - I include them here so you can watch my though process. Programming Windows Azure by Siriram Krishnan: Learning about how to select applications suitable for Distributed Technology. Application Fabric gets the least attention; probably because it was newer at the time. Very clear (Chapter One) Good foundation Background and history, but not too much I normally arrange my descriptions differently, starting with the use-cases and moving to physicality, but this difference helps me. Interesting that I am reading this using Safari Books Online, which uses many of these concepts. Taught me some new aspects of a Hypervisor – very low-level information about the Azure Fabric (not to be confused with the Application Fabric feature) (Chapter Two) Good detail of what is included in the SDK. Even more is available now. CS = Cloud Service (Chapter 3) Place Storage info in the configuration file, since it can be streamed in-line with a running app. Ditto for logging, and keep separated configs for staging and testing. Easy-switch in and switch out.  (Chapter 4) There are two Runtime API’s, one of external and one for internal. Realizing how powerful this paradigm really is. Some places seem light, and to drop off but perhaps that’s best. Managing API is not charged, which is nice. I don’t often think about the price, until it comes to an actual deployment (Chapter 5) Csmanage is something I want to dig into deeper. API requires package moves to Blob storage first, so it needs a URL. Csmanage equivalent can be written in Unix scripting using openssl. Upgrades are possible, and you use the upgradeDomainCount attribute in the Service-Definition.csdef file  Always use a low-privileged account to test on the dev fabric, since Windows Azure runs in partial trust. Full trust is available, but can be dangerous and must be well-thought out. (Chapter 6) Learned how to run full CMD commands in a web window – not that you would ever do that, but it was an interesting view into those links. This leads to a discussion on hosting other runtimes (such as Java or PHP) in Windows Azure. I got an expanded view on this process, although this is where the book shows its age a little. Books can be a problem for Cloud Computing for this reason – things just change too quickly. Windows Azure storage is not eventually consistent – it is instantly consistent with multi-phase commit. Plumbing for this is internal, not required to code that. (Chapter 7) REST API makes the service interoperable, hybrid, and consistent across code architectures. Nicely done. Use affinity groups to keep data and code together. Side note: e-book readers need a common “notes” feature. There’s a decent quick description of REST in this chapter. Learned about CloudDrive code – PowerShell sample that mounts Blob storage as a local provider. Works against Dev fabric by default, can be switched to Account. Good treatment in the storage chapters on the differences between using Dev storage and Azure storage. These can be mitigated. No, blobs are not of any size or number. Not a good statement (Chapter 8) Blob storage is probably Azure’s closest play to Infrastructure as a Service (Iaas). Blob change operations must be authenticated, even when public. Chapters on storage are pretty in-depth. Queue Messages are base-64 encoded (Chapter 9) The visibility timeout ensures processing of message in a disconnected system. Order is not guaranteed for a message, so if you need that set an increasing number in the queue mechanism. While Queues are accessible via REST, they are not public and are secured by default. Interesting – the header for a queue request includes an estimated count. This can be useful to create more worker roles in a dynamic system. Each Entity (row) in the Azure Table service is atomic – all or nothing. (Chapter 10) An entity can have up to 255 Properties  Use “ID” for the class to indicate the key value, or use the [DataServiceKey] Attribute.  LINQ makes working with the Azure Table Service much easier, although Interop is certainly possible. Good description on the process of selecting the Partition and Row Key.  When checking for continuation tokens for pagination, include logic that falls out of the check in case you are at the last page.  On deleting a storage object, it is instantly unavailable, however a background process is dispatched to perform the physical deletion. So if you want to re-create a storage object with the same name, add retry logic into the code. Interesting approach to deleting an index entity without having to read it first – create a local entity with the same keys and apply it to the Azure system regardless of change-state.  Although the “Indexes” description is a little vague, it’s interesting to see a Folding and Stemming discussion a-la the Porter Stemming Algorithm. (Chapter 11)  Presents a better discussion of indexes (at least inverted indexes) later in the chapter. Great treatment for DBA’s in Chapter 11. We need to work on getting secondary indexes in Table storage. There is a limited form of transactions called “Entity Group Transactions” that, although they have conditions, makes a transactional system more possible. Concurrency also becomes an issue, but is handled well if you’re using Data Services in .NET. It watches the Etag and allows you to take action appropriately. I do not recommend using Azure as a location for secure backups. In fact, I would rather have seen the examples in (Chapter 12) go the other way, showing how data could be brought back to a local store as a DR or HA strategy. Good information on cryptography and so on even so. Chapter seems out of place, and should be combined with the Blob chapter.  (Chapter 13) on SQL Azure is dated, although the base concepts are OK.  Nice example of simple ADO.NET access to a SQL Azure (or any SQL Server Really) database.  

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  • Salesforce/PHP - Bulk Outbound message (SOAP), Time out issue - See update #2

    - by Phill Pafford
    Salesforce can send up to 100 requests inside 1 SOAP message. While sending this type of Bulk Ooutbound message request my PHP script finishes executing but SF fails to accept the ACK used to clear the message queue on the Salesforce side of things. Looking at the Outbound message log (monitoring) I see all the messages in a pending state with the Delivery Failure Reason "java.net.SocketTimeoutException: Read timed out". If my script has finished execution, why do I get this error? I have tried these methods to increase the execution time on my server as I have no access on the Salesforce side: set_time_limit(0); // in the script max_execution_time = 360 ; Maximum execution time of each script, in seconds max_input_time = 360 ; Maximum amount of time each script may spend parsing request data memory_limit = 32M ; Maximum amount of memory a script may consume I used the high settings just for testing. Any thoughts as to why this is failing the ACK delivery back to Salesforce? Here is some of the code: This is how I accept and send the ACK file for the imcoming SOAP request $data = 'php://input'; $content = file_get_contents($data); if($content) { respond('true'); } else { respond('false'); } The respond function function respond($tf) { $ACK = <<<ACK <?xml version = "1.0" encoding = "utf-8"?> <soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <soapenv:Body> <notifications xmlns="http://soap.sforce.com/2005/09/outbound"> <Ack>$tf</Ack> </notifications> </soapenv:Body> </soapenv:Envelope> ACK; print trim($ACK); } These are in a generic script that I include into the script that uses the data for a specific workflow. I can process about 25 requests (That are in 1 SOAP response) but once I go over that I get the timeout error in the Salesforce queue. for 50 requests is usually takes my PHP script 86.77 seconds. Could it be Apache? PHP? I have also tested just accepting the 100 request SOAP response and just accepting and sending the ACK the queue clears out, so I know it's on my side of things. I show no errors in the apache log, the script runs fine. I did find some info on the Salesforce site but still no luck. Here is the link. Also I'm using the PHP Toolkit 11 (From Salesforce). Other forum with good SF help Thanks for any insight into this, --Phill UPDATE: If I receive the incoming message and print the response, should this happen first regardless if I do anything else after? Or does it wait for my process to finish and then print the response? UPDATE #2: okay I think I have the problem: PHP uses the single thread processing approach and will not send back the ACK file until the thread has completed it's processing. Is there a way to make this a mutli thread process? Thread #1 - accept the incoming SOAP request and send back the ACK Thread #2 - Process the SOAP request I know I could break it up into like a DB table or flat file, but is there a way to accomplish this without doing that? I'm going to try to close the socket after the ACK submission and continue the processing, cross my fingers it will work.

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  • Sending emails in web applications

    - by Denise
    Hi everyone, I'm looking for some opinions here, I'm building a web application which has the fairly standard functionality of: Register for an account by filling out a form and submitting it. Receive an email with a confirmation code link Click the link to confirm the new account and log in When you send emails from your web application, it's often (usually) the case that there will be some change to the persistence layer. For example: A new user registers for an account on your site - the new user is created in the database and an email is sent to them with a confirmation link A user assigns a bug or issue to someone else - the issue is updated and email notifications are sent. How you send these emails can be critical to the success of your application. How you send them depends on how important it is that the intended recipient receives the email. We'll look at the following four strategies in relation to the case where the mail server is down, using example 1. TRANSACTIONAL & SYNCHRONOUS The sending of the email fails and the user is shown an error message saying that their account could not be created. The application will appear to be slow and unresponsive as the application waits for the connection timeout. The account is not created in the database because the transaction is rolled back. TRANSACTIONAL & ASYNCHRONOUS The transactional definition here refers to sending the email to a JMS queue or saving it in a database table for another background process to pick up and send. The user account is created in the database, the email is sent to a JMS queue for processing later. The transaction is successful and committed. The user is shown a message saying that their account was created and to check their email for a confirmation link. It's possible in this case that the email is never sent due to some other error, however the user is told that the email has been sent to them. There may be some delay in getting the email sent to the user if application support has to be called in to diagnose the email problem. NON-TRANSACTIONAL & SYNCHRONOUS The user is created in the database, but the application gets a timeout error when it tries to send the email with the confirmation link. The user is shown an error message saying that there was an error. The application is slow and unresponsive as it waits for the connection timeout When the mail server comes back to life and the user tries to register again, they are told their account already exists but has not been confirmed and are given the option of having the email re-sent to them. NON-TRANSACTIONAL & ASYNCHRONOUS The only difference between this and transactional & asynchronous is that if there is an error sending the email to the JMS queue or saving it in the database, the user account is still created but the email is never sent until the user attempts to register again. What I'd like to know is what have other people done here? Can you recommend any other solutions other than the 4 I've mentioned above? What's a reasonable way of approaching this problem? I don't want to over-engineer a system that's dealing with the (hopefully) rare situation where my mail server goes down! The simplest thing to do is to code it synchronously, but are there any other pitfalls to this approach? I guess I'm wondering if there's a best practice, I couldn't find much out there by googling.

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  • C# thread functions not properly sharing a static data member

    - by Umer
    I have a class as following public class ScheduledUpdater { private static Queue<int> PendingIDs = new Queue<int>(); private static bool UpdateThreadRunning = false; private static bool IsGetAndSaveScheduledUpdateRunning = false; private static DataTable ScheduleConfiguration; private static Thread updateRefTableThread; private static Thread threadToGetAndSaveScheduledUpdate; public static void ProcessScheduledUpdates(int ID) { //do some stuff // if ( updateRefTableThread not already running) // execute updateRefTableThread = new Thread(new ThreadStart(UpdateSchedulingRefTableInThrear)); // execute updateRefTableThread.Start(); //do some stuff GetAndSaveScheduledUpdate(ID) } private static void UpdateSchedulingRefTableInThrear() { UpdateSchedulingRefTable(); } public static void UpdateSchedulingRefTable() { // read DB and update ScheduleConfiguration string query = " SELECT ID,TimeToSendEmail FROM TBLa WHERE MODE = 'WebServiceOrder' AND BDELETE = false "; clsCommandBuilder commandBuilder = new clsCommandBuilder(); DataSet ds = commandBuilder.GetDataSet(query); if (ds != null && ds.Tables.Count > 0 && ds.Tables[0].Rows.Count > 0) { List<string> lstIDs = new List<string>(); for (int i = 0; i < ds.Tables[0].Rows.Count; i++) { lstIDs.Add(ds.Tables[0].Rows[i]["ID"].ToString()); if (LastEmailSend.Contains(ds.Tables[0].Rows[i]["ID"].ToString())) LastEmailSend[ds.Tables[0].Rows[i]["ID"].ToString()] = ds.Tables[0].Rows[i]["TimeToSendEmail"].ToString(); else LastEmailSend.Add(ds.Tables[0].Rows[i]["ID"].ToString(), ds.Tables[0].Rows[i]["TimeToSendEmail"].ToString()); } if (lstIDs.Count > 0) { string Ids = string.Join(",", lstIDs.ToArray()).Trim(','); dhDBNames dbNames = new dhDBNames(); dbNames.Default_DB_Name = dbNames.ControlDB; dhGeneralPurpose dhGeneral = new dhGeneralPurpose(); dhGeneral.StringDH = Ids; DataSet result = commandBuilder.GetDataSet(dbNames, (object)dhGeneral, "xmlGetConfigurations"); if (result != null && result.Tables.Count > 0) { if (ScheduleConfiguration != null) ScheduleConfiguration.Clear(); ScheduleConfiguration = result.Tables[0]; } } } } public static void GetAndSaveScheduledUpdate(int ID) { //use ScheduleConfiguration if (ScheduleConfiguration == null)[1] UpdateSchedulingRefTable(); DataRow[] result = ScheduleConfiguration.Select("ID = "+ID); //then for each result row, i add this to a static Queue PendingIDs } } The function UpdateSchedulingRefTable can be called any time from outside world (for instance if someone updates the schedule configuration manually) ProcessScheduledUpdates is called from a windows service every other minute. Problem: Datatable ScheduleConfiguration is updated in the UpdateSchedulingRefTable (called from outside world - say manually) but when i try to use Datatable ScheduleConfiguration in GetAndSaveScheduledUpdate, i get the older version of values.... What am I missing in this stuff??? About EDIT: I thought the stuff i have not shown is quite obvious and possibly not desired, perhaps my structure is wrong :) and sorry for incorrect code previously, i made a simple function call as a thread initialization... sorry for my code indentation too because i don't know how to format whole block...

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