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  • What are the typical methods used to scale up/out email storage servers?

    - by nareshov
    Hi, What I've tried: I have two email storage architectures. Old and new. Old: courier-imapds on several (18+) 1TB-storage servers. If one of them show signs of running out of disk space, we migrate a few email accounts to another server. the servers don't have replicas. no backups either. New: dovecot2 on a single huge server with 16TB (SATA) storage and a few SSDs we store fresh mails on the SSDs and run a doveadm purge to move mails older than a day to the SATA disks there is an identical server which has a max-15min-old rsync backup from the primary server higher-ups/management wanted to pack in as much storage as possible per server in order to minimise the cost of SSDs per server the rsync'ing is done because GlusterFS wasn't replicating well under that high small/random-IO. scaling out was expected to be done with provisioning another pair of such huge servers on facing disk-crunch issues like in the old architecture, manual moving of email accounts would be done. Concerns/doubts: I'm not convinced with the synchronously-replicated filesystem idea works well for heavy random/small-IO. GlusterFS isn't working for us yet, I'm not sure if there's another filesystem out there for this use case. The idea was to keep identical pairs and use DNS round-robin for email delivery and IMAP/POP3 access. And if one the servers went down for whatever reasons (planned/unplanned), we'd move the IP to the other server in the pair. In filesystems like Lustre, I get the advantage of a single namespace whereby I do not have to worry about manually migrating accounts around and updating MAILHOME paths and other metadata/data. Questions: What are the typical methods used to scale up/out with the traditional software (courier-imapd / dovecot)? Do traditional software that store on a locally mounted filesystem pose a roadblock to scale out with minimal "problems"? Does one have to re-write (parts of) these to work with an object-storage of some sort - such as OpenStack object storage?

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  • How to restore your production database without needing additional storage

    - by David Atkinson
    Production databases can get very large. This in itself is to be expected, but when a copy of the database is needed the database must be restored, requiring additional and costly storage.  For example, if you want to give each developer a full copy of your production server, you’ll need n times the storage cost for your n-developer team. The same is true for any test databases that are created during the course of your project lifecycle. If you’ve read my previous blog posts, you’ll be aware that I’ve been focusing on the database continuous integration theme. In my CI setup I create a “production”-equivalent database directly from its source control representation, and use this to test my upgrade scripts. Despite this being a perfectly valid and practical thing to do as part of a CI setup, it’s not the exact equivalent to running the upgrade script on a copy of the actual production database. So why shouldn’t I instead simply restore the most recent production backup as part of my CI process? There are two reasons why this would be impractical. 1. My CI environment isn’t an exact copy of my production environment. Indeed, this would be the case in a perfect world, and it is strongly recommended as a good practice if you follow Jez Humble and David Farley’s “Continuous Delivery” teachings, but in practical terms this might not always be possible, especially where storage is concerned. It may just not be possible to restore a huge production database on the environment you’ve been allotted. 2. It’s not just about the storage requirements, it’s also the time it takes to do the restore. The whole point of continuous integration is that you are alerted as early as possible whether the build (yes, the database upgrade script counts!) is broken. If I have to run an hour-long restore each time I commit a change to source control I’m just not going to get the feedback quickly enough to react. So what’s the solution? Red Gate has a technology, SQL Virtual Restore, that is able to restore a database without using up additional storage. Although this sounds too good to be true, the explanation is quite simple (although I’m sure the technical implementation details under the hood are quite complex!) Instead of restoring the backup in the conventional sense, SQL Virtual Restore will effectively mount the backup using its HyperBac technology. It creates a data and log file, .vmdf, and .vldf, that becomes the delta between the .bak file and the virtual database. This means that both read and write operations are permitted on a virtual database as from SQL Server’s point of view it is no different from a conventional database. Instead of doubling the storage requirements upon a restore, there is no ‘duplicate’ storage requirements, other than the trivially small virtual log and data files (see illustration below). The benefit is magnified the more databases you mount to the same backup file. This technique could be used to provide a large development team a full development instance of a large production database. It is also incredibly easy to set up. Once SQL Virtual Restore is installed, you simply run a conventional RESTORE command to create the virtual database. This is what I have running as part of a nightly “release test” process triggered by my CI tool. RESTORE DATABASE WidgetProduction_Virtual FROM DISK=N'D:\VirtualDatabase\WidgetProduction.bak' WITH MOVE N'WidgetProduction' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_WidgetProduction_Virtual.vmdf', MOVE N'WidgetProduction_log' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_log_WidgetProduction_Virtual.vldf', NORECOVERY, STATS=1, REPLACE GO RESTORE DATABASE WidgetProduction_Virtual WITH RECOVERY   Note the only change from what you would do normally is the naming of the .vmdf and .vldf files. SQL Virtual Restore intercepts this by monitoring the extension and applies its magic, ensuring the ‘virtual’ restore happens rather than the conventional storage-heavy restore. My automated release test then applies the upgrade scripts to the virtual production database and runs some validation tests, giving me confidence that were I to run this on production for real, all would go smoothly. For illustration, here is my 8Gb production database: And its corresponding backup file: Here are the .vldf and .vmdf files, which represent the only additional used storage for the new database following the virtual restore.   The beauty of this product is its simplicity. Once it is installed, the interaction with the backup and virtual database is exactly the same as before, as the clever stuff is being done at a lower level. SQL Virtual Restore can be downloaded as a fully functional 14-day trial. Technorati Tags: SQL Server

    Read the article

  • How to restore your production database without needing additional storage

    - by David Atkinson
    Production databases can get very large. This in itself is to be expected, but when a copy of the database is needed the database must be restored, requiring additional and costly storage.  For example, if you want to give each developer a full copy of your production server, you'll need n times the storage cost for your n-developer team. The same is true for any test databases that are created during the course of your project lifecycle. If you've read my previous blog posts, you'll be aware that I've been focusing on the database continuous integration theme. In my CI setup I create a "production"-equivalent database directly from its source control representation, and use this to test my upgrade scripts. Despite this being a perfectly valid and practical thing to do as part of a CI setup, it's not the exact equivalent to running the upgrade script on a copy of the actual production database. So why shouldn't I instead simply restore the most recent production backup as part of my CI process? There are two reasons why this would be impractical. 1. My CI environment isn't an exact copy of my production environment. Indeed, this would be the case in a perfect world, and it is strongly recommended as a good practice if you follow Jez Humble and David Farley's "Continuous Delivery" teachings, but in practical terms this might not always be possible, especially where storage is concerned. It may just not be possible to restore a huge production database on the environment you've been allotted. 2. It's not just about the storage requirements, it's also the time it takes to do the restore. The whole point of continuous integration is that you are alerted as early as possible whether the build (yes, the database upgrade script counts!) is broken. If I have to run an hour-long restore each time I commit a change to source control I'm just not going to get the feedback quickly enough to react. So what's the solution? Red Gate has a technology, SQL Virtual Restore, that is able to restore a database without using up additional storage. Although this sounds too good to be true, the explanation is quite simple (although I'm sure the technical implementation details under the hood are quite complex!) Instead of restoring the backup in the conventional sense, SQL Virtual Restore will effectively mount the backup using its HyperBac technology. It creates a data and log file, .vmdf, and .vldf, that becomes the delta between the .bak file and the virtual database. This means that both read and write operations are permitted on a virtual database as from SQL Server's point of view it is no different from a conventional database. Instead of doubling the storage requirements upon a restore, there is no 'duplicate' storage requirements, other than the trivially small virtual log and data files (see illustration below). The benefit is magnified the more databases you mount to the same backup file. This technique could be used to provide a large development team a full development instance of a large production database. It is also incredibly easy to set up. Once SQL Virtual Restore is installed, you simply run a conventional RESTORE command to create the virtual database. This is what I have running as part of a nightly "release test" process triggered by my CI tool. RESTORE DATABASE WidgetProduction_virtual FROM DISK=N'C:\WidgetWF\ProdBackup\WidgetProduction.bak' WITH MOVE N'WidgetProduction' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_WidgetProduction_Virtual.vmdf', MOVE N'WidgetProduction_log' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_log_WidgetProduction_Virtual.vldf', NORECOVERY, STATS=1, REPLACE GO RESTORE DATABASE mydatabase WITH RECOVERY   Note the only change from what you would do normally is the naming of the .vmdf and .vldf files. SQL Virtual Restore intercepts this by monitoring the extension and applies its magic, ensuring the 'virtual' restore happens rather than the conventional storage-heavy restore. My automated release test then applies the upgrade scripts to the virtual production database and runs some validation tests, giving me confidence that were I to run this on production for real, all would go smoothly. For illustration, here is my 8Gb production database: And its corresponding backup file: Here are the .vldf and .vmdf files, which represent the only additional used storage for the new database following the virtual restore.   The beauty of this product is its simplicity. Once it is installed, the interaction with the backup and virtual database is exactly the same as before, as the clever stuff is being done at a lower level. SQL Virtual Restore can be downloaded as a fully functional 14-day trial. Technorati Tags: SQL Server

    Read the article

  • How to restore your production database without needing additional storage

    - by David Atkinson
    Production databases can get very large. This in itself is to be expected, but when a copy of the database is needed the database must be restored, requiring additional and costly storage.  For example, if you want to give each developer a full copy of your production server, you'll need n times the storage cost for your n-developer team. The same is true for any test databases that are created during the course of your project lifecycle. If you've read my previous blog posts, you'll be aware that I've been focusing on the database continuous integration theme. In my CI setup I create a "production"-equivalent database directly from its source control representation, and use this to test my upgrade scripts. Despite this being a perfectly valid and practical thing to do as part of a CI setup, it's not the exact equivalent to running the upgrade script on a copy of the actual production database. So why shouldn't I instead simply restore the most recent production backup as part of my CI process? There are two reasons why this would be impractical. 1. My CI environment isn't an exact copy of my production environment. Indeed, this would be the case in a perfect world, and it is strongly recommended as a good practice if you follow Jez Humble and David Farley's "Continuous Delivery" teachings, but in practical terms this might not always be possible, especially where storage is concerned. It may just not be possible to restore a huge production database on the environment you've been allotted. 2. It's not just about the storage requirements, it's also the time it takes to do the restore. The whole point of continuous integration is that you are alerted as early as possible whether the build (yes, the database upgrade script counts!) is broken. If I have to run an hour-long restore each time I commit a change to source control I'm just not going to get the feedback quickly enough to react. So what's the solution? Red Gate has a technology, SQL Virtual Restore, that is able to restore a database without using up additional storage. Although this sounds too good to be true, the explanation is quite simple (although I'm sure the technical implementation details under the hood are quite complex!) Instead of restoring the backup in the conventional sense, SQL Virtual Restore will effectively mount the backup using its HyperBac technology. It creates a data and log file, .vmdf, and .vldf, that becomes the delta between the .bak file and the virtual database. This means that both read and write operations are permitted on a virtual database as from SQL Server's point of view it is no different from a conventional database. Instead of doubling the storage requirements upon a restore, there is no 'duplicate' storage requirements, other than the trivially small virtual log and data files (see illustration below). The benefit is magnified the more databases you mount to the same backup file. This technique could be used to provide a large development team a full development instance of a large production database. It is also incredibly easy to set up. Once SQL Virtual Restore is installed, you simply run a conventional RESTORE command to create the virtual database. This is what I have running as part of a nightly "release test" process triggered by my CI tool. RESTORE DATABASE WidgetProduction_virtual FROM DISK=N'C:\WidgetWF\ProdBackup\WidgetProduction.bak' WITH MOVE N'WidgetProduction' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_WidgetProduction_Virtual.vmdf', MOVE N'WidgetProduction_log' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_log_WidgetProduction_Virtual.vldf', NORECOVERY, STATS=1, REPLACE GO RESTORE DATABASE mydatabase WITH RECOVERY   Note the only change from what you would do normally is the naming of the .vmdf and .vldf files. SQL Virtual Restore intercepts this by monitoring the extension and applies its magic, ensuring the 'virtual' restore happens rather than the conventional storage-heavy restore. My automated release test then applies the upgrade scripts to the virtual production database and runs some validation tests, giving me confidence that were I to run this on production for real, all would go smoothly. For illustration, here is my 8Gb production database: And its corresponding backup file: Here are the .vldf and .vmdf files, which represent the only additional used storage for the new database following the virtual restore.   The beauty of this product is its simplicity. Once it is installed, the interaction with the backup and virtual database is exactly the same as before, as the clever stuff is being done at a lower level. SQL Virtual Restore can be downloaded as a fully functional 14-day trial. Technorati Tags: SQL Server

    Read the article

  • Glassfish4 throw exception when I declare validation.xml file on classpath

    - by Rafael Ruiz Tabares
    I've tried to declare a custom validator for @NotNull constraint and Glassfish4 throw this exception when find /META-INF/validation.xml. Project works fine if I omit this file. Exception while dispatching an event java.lang.IllegalStateException: Singleton not set for WebappClassLoader(delegate=true; repositories=WEB-INF/classes/) at org.glassfish.weld.ACLSingletonProvider$ACLSingleton.get(ACLSingletonProvider.java:110) at org.jboss.weld.Container.instance(Container.java:54) at org.jboss.weld.bootstrap.WeldBootstrap.shutdown(WeldBootstrap.java:644) at org.glassfish.weld.WeldDeployer.doBootstrapShutdown(WeldDeployer.java:309) at org.glassfish.weld.WeldDeployer.event(WeldDeployer.java:220) at org.glassfish.kernel.event.EventsImpl.send(EventsImpl.java:131) at org.glassfish.internal.data.ApplicationInfo.load(ApplicationInfo.java:328) at com.sun.enterprise.v3.server.ApplicationLifecycle.deploy(ApplicationLifecycle.java:493) at com.sun.enterprise.v3.server.ApplicationLifecycle.deploy(ApplicationLifecycle.java:219) at org.glassfish.deployment.admin.DeployCommand.execute(DeployCommand.java:491) at com.sun.enterprise.v3.admin.CommandRunnerImpl$2$1.run(CommandRunnerImpl.java:527) at com.sun.enterprise.v3.admin.CommandRunnerImpl$2$1.run(CommandRunnerImpl.java:523) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:356) at com.sun.enterprise.v3.admin.CommandRunnerImpl$2.execute(CommandRunnerImpl.java:522) at com.sun.enterprise.v3.admin.CommandRunnerImpl.doCommand(CommandRunnerImpl.java:546) at com.sun.enterprise.v3.admin.CommandRunnerImpl.doCommand(CommandRunnerImpl.java:1423) at com.sun.enterprise.v3.admin.CommandRunnerImpl.access$1500(CommandRunnerImpl.java:108) at com.sun.enterprise.v3.admin.CommandRunnerImpl$ExecutionContext.execute(CommandRunnerImpl.java:1762) at com.sun.enterprise.v3.admin.CommandRunnerImpl$ExecutionContext.execute(CommandRunnerImpl.java:1674) at org.glassfish.admin.rest.resources.admin.CommandResource.executeCommand(CommandResource.java:396) at org.glassfish.admin.rest.resources.admin.CommandResource.execCommandSimpInMultOut(CommandResource.java:234) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.glassfish.jersey.server.model.internal.ResourceMethodInvocationHandlerFactory$1.invoke(ResourceMethodInvocationHandlerFactory.java:81) at org.glassfish.jersey.server.model.internal.AbstractJavaResourceMethodDispatcher.invoke(AbstractJavaResourceMethodDispatcher.java:125) at org.glassfish.jersey.server.model.internal.JavaResourceMethodDispatcherProvider$ResponseOutInvoker.doDispatch(JavaResourceMethodDispatcherProvider.java:152) at org.glassfish.jersey.server.model.internal.AbstractJavaResourceMethodDispatcher.dispatch(AbstractJavaResourceMethodDispatcher.java:91) at org.glassfish.jersey.server.model.ResourceMethodInvoker.invoke(ResourceMethodInvoker.java:346) at org.glassfish.jersey.server.model.ResourceMethodInvoker.apply(ResourceMethodInvoker.java:341) at org.glassfish.jersey.server.model.ResourceMethodInvoker.apply(ResourceMethodInvoker.java:101) at org.glassfish.jersey.server.ServerRuntime$1.run(ServerRuntime.java:224) at org.glassfish.jersey.internal.Errors$1.call(Errors.java:271) at org.glassfish.jersey.internal.Errors$1.call(Errors.java:267) at org.glassfish.jersey.internal.Errors.process(Errors.java:315) at org.glassfish.jersey.internal.Errors.process(Errors.java:297) at org.glassfish.jersey.internal.Errors.process(Errors.java:267) at org.glassfish.jersey.process.internal.RequestScope.runInScope(RequestScope.java:317) at org.glassfish.jersey.server.ServerRuntime.process(ServerRuntime.java:198) at org.glassfish.jersey.server.ApplicationHandler.handle(ApplicationHandler.java:946) at org.glassfish.jersey.grizzly2.httpserver.GrizzlyHttpContainer.service(GrizzlyHttpContainer.java:331) at org.glassfish.admin.rest.adapter.JerseyContainerCommandService$3.service(JerseyContainerCommandService.java:165) at org.glassfish.admin.rest.adapter.RestAdapter.service(RestAdapter.java:181) at com.sun.enterprise.v3.services.impl.ContainerMapper.service(ContainerMapper.java:246) at org.glassfish.grizzly.http.server.HttpHandler.runService(HttpHandler.java:191) at org.glassfish.grizzly.http.server.HttpHandler.doHandle(HttpHandler.java:168) at org.glassfish.grizzly.http.server.HttpServerFilter.handleRead(HttpServerFilter.java:189) at org.glassfish.grizzly.filterchain.ExecutorResolver$9.execute(ExecutorResolver.java:119) at org.glassfish.grizzly.filterchain.DefaultFilterChain.executeFilter(DefaultFilterChain.java:288) at org.glassfish.grizzly.filterchain.DefaultFilterChain.executeChainPart(DefaultFilterChain.java:206) at org.glassfish.grizzly.filterchain.DefaultFilterChain.execute(DefaultFilterChain.java:136) at org.glassfish.grizzly.filterchain.DefaultFilterChain.process(DefaultFilterChain.java:114) at org.glassfish.grizzly.ProcessorExecutor.execute(ProcessorExecutor.java:77) at org.glassfish.grizzly.nio.transport.TCPNIOTransport.fireIOEvent(TCPNIOTransport.java:838) at org.glassfish.grizzly.strategies.AbstractIOStrategy.fireIOEvent(AbstractIOStrategy.java:113) at org.glassfish.grizzly.strategies.WorkerThreadIOStrategy.run0(WorkerThreadIOStrategy.java:115) at org.glassfish.grizzly.strategies.WorkerThreadIOStrategy.access$100(WorkerThreadIOStrategy.java:55) at org.glassfish.grizzly.strategies.WorkerThreadIOStrategy$WorkerThreadRunnable.run(WorkerThreadIOStrategy.java:135) at org.glassfish.grizzly.threadpool.AbstractThreadPool$Worker.doWork(AbstractThreadPool.java:564) at org.glassfish.grizzly.threadpool.AbstractThreadPool$Worker.run(AbstractThreadPool.java:544) at java.lang.Thread.run(Thread.java:744) ]] [2014-06-09T19:37:52.476+0200] [glassfish 4.0] [SEVERE] [AS-WEB-CORE-00108] [javax.enterprise.web.core] [tid: _ThreadID=32 _ThreadName=admin-listener(1)] [timeMillis: 1402335472476] [levelValue: 1000] [[ ContainerBase.addChild: start: org.apache.catalina.LifecycleException: java.lang.IllegalArgumentException: javax.servlet.ServletException: com.sun.enterprise.container.common.spi.util.InjectionException: Error creating managed object for class: class org.jboss.weld.servlet.WeldListener at org.apache.catalina.core.StandardContext.start(StandardContext.java:5864) at com.sun.enterprise.web.WebModule.start(WebModule.java:691) at org.apache.catalina.core.ContainerBase.addChildInternal(ContainerBase.java:1041) at org.apache.catalina.core.ContainerBase.addChild(ContainerBase.java:1024) at org.apache.catalina.core.StandardHost.addChild(StandardHost.java:747) at com.sun.enterprise.web.WebContainer.loadWebModule(WebContainer.java:2278) at com.sun.enterprise.web.WebContainer.loadWebModule(WebContainer.java:1924) at com.sun.enterprise.web.WebApplication.start(WebApplication.java:139) at org.glassfish.internal.data.EngineRef.start(EngineRef.java:122) at org.glassfish.internal.data.ModuleInfo.start(ModuleInfo.java:291) at org.glassfish.internal.data.ApplicationInfo.start(ApplicationInfo.java:352) at com.sun.enterprise.v3.server.ApplicationLifecycle.deploy(ApplicationLifecycle.java:497) at com.sun.enterprise.v3.server.ApplicationLifecycle.deploy(ApplicationLifecycle.java:219) at org.glassfish.deployment.admin.DeployCommand.execute(DeployCommand.java:491) at com.sun.enterprise.v3.admin.CommandRunnerImpl$2$1.run(CommandRunnerImpl.java:527) at com.sun.enterprise.v3.admin.CommandRunnerImpl$2$1.run(CommandRunnerImpl.java:523) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:356) at com.sun.enterprise.v3.admin.CommandRunnerImpl$2.execute(CommandRunnerImpl.java:522) at com.sun.enterprise.v3.admin.CommandRunnerImpl.doCommand(CommandRunnerImpl.java:546) at com.sun.enterprise.v3.admin.CommandRunnerImpl.doCommand(CommandRunnerImpl.java:1423) at com.sun.enterprise.v3.admin.CommandRunnerImpl.access$1500(CommandRunnerImpl.java:108) at com.sun.enterprise.v3.admin.CommandRunnerImpl$ExecutionContext.execute(CommandRunnerImpl.java:1762) at com.sun.enterprise.v3.admin.CommandRunnerImpl$ExecutionContext.execute(CommandRunnerImpl.java:1674) at org.glassfish.admin.rest.resources.admin.CommandResource.executeCommand(CommandResource.java:396) at org.glassfish.admin.rest.resources.admin.CommandResource.execCommandSimpInMultOut(CommandResource.java:234) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.glassfish.jersey.server.model.internal.ResourceMethodInvocationHandlerFactory$1.invoke(ResourceMethodInvocationHandlerFactory.java:81) at org.glassfish.jersey.server.model.internal.AbstractJavaResourceMethodDispatcher.invoke(AbstractJavaResourceMethodDispatcher.java:125) at org.glassfish.jersey.server.model.internal.JavaResourceMethodDispatcherProvider$ResponseOutInvoker.doDispatch(JavaResourceMethodDispatcherProvider.java:152) at org.glassfish.jersey.server.model.internal.AbstractJavaResourceMethodDispatcher.dispatch(AbstractJavaResourceMethodDispatcher.java:91) at org.glassfish.jersey.server.model.ResourceMethodInvoker.invoke(ResourceMethodInvoker.java:346) at org.glassfish.jersey.server.model.ResourceMethodInvoker.apply(ResourceMethodInvoker.java:341) at org.glassfish.jersey.server.model.ResourceMethodInvoker.apply(ResourceMethodInvoker.java:101) at org.glassfish.jersey.server.ServerRuntime$1.run(ServerRuntime.java:224) at org.glassfish.jersey.internal.Errors$1.call(Errors.java:271) at org.glassfish.jersey.internal.Errors$1.call(Errors.java:267) at org.glassfish.jersey.internal.Errors.process(Errors.java:315) at org.glassfish.jersey.internal.Errors.process(Errors.java:297) at org.glassfish.jersey.internal.Errors.process(Errors.java:267) at org.glassfish.jersey.process.internal.RequestScope.runInScope(RequestScope.java:317) at org.glassfish.jersey.server.ServerRuntime.process(ServerRuntime.java:198) at org.glassfish.jersey.server.ApplicationHandler.handle(ApplicationHandler.java:946) at org.glassfish.jersey.grizzly2.httpserver.GrizzlyHttpContainer.service(GrizzlyHttpContainer.java:331) at org.glassfish.admin.rest.adapter.JerseyContainerCommandService$3.service(JerseyContainerCommandService.java:165) at org.glassfish.admin.rest.adapter.RestAdapter.service(RestAdapter.java:181) at com.sun.enterprise.v3.services.impl.ContainerMapper.service(ContainerMapper.java:246) at org.glassfish.grizzly.http.server.HttpHandler.runService(HttpHandler.java:191) at org.glassfish.grizzly.http.server.HttpHandler.doHandle(HttpHandler.java:168) at org.glassfish.grizzly.http.server.HttpServerFilter.handleRead(HttpServerFilter.java:189) at org.glassfish.grizzly.filterchain.ExecutorResolver$9.execute(ExecutorResolver.java:119) at org.glassfish.grizzly.filterchain.DefaultFilterChain.executeFilter(DefaultFilterChain.java:288) at org.glassfish.grizzly.filterchain.DefaultFilterChain.executeChainPart(DefaultFilterChain.java:206) at org.glassfish.grizzly.filterchain.DefaultFilterChain.execute(DefaultFilterChain.java:136) at org.glassfish.grizzly.filterchain.DefaultFilterChain.process(DefaultFilterChain.java:114) at org.glassfish.grizzly.ProcessorExecutor.execute(ProcessorExecutor.java:77) at org.glassfish.grizzly.nio.transport.TCPNIOTransport.fireIOEvent(TCPNIOTransport.java:838) at org.glassfish.grizzly.strategies.AbstractIOStrategy.fireIOEvent(AbstractIOStrategy.java:113) at org.glassfish.grizzly.strategies.WorkerThreadIOStrategy.run0(WorkerThreadIOStrategy.java:115) at org.glassfish.grizzly.strategies.WorkerThreadIOStrategy.access$100(WorkerThreadIOStrategy.java:55) at org.glassfish.grizzly.strategies.WorkerThreadIOStrategy$WorkerThreadRunnable.run(WorkerThreadIOStrategy.java:135) at org.glassfish.grizzly.threadpool.AbstractThreadPool$Worker.doWork(AbstractThreadPool.java:564) at org.glassfish.grizzly.threadpool.AbstractThreadPool$Worker.run(AbstractThreadPool.java:544) at java.lang.Thread.run(Thread.java:744) Caused by: java.lang.IllegalArgumentException: javax.servlet.ServletException: com.sun.enterprise.container.common.spi.util.InjectionException: Error creating managed object for class: class org.jboss.weld.servlet.WeldListener at org.apache.catalina.core.StandardContext.addListener(StandardContext.java:3270) at org.apache.catalina.core.StandardContext.addApplicationListener(StandardContext.java:2476) at com.sun.enterprise.web.TomcatDeploymentConfig.configureApplicationListener(TomcatDeploymentConfig.java:251) at com.sun.enterprise.web.TomcatDeploymentConfig.configureWebModule(TomcatDeploymentConfig.java:110) at com.sun.enterprise.web.WebModuleContextConfig.start(WebModuleContextConfig.java:266) at org.apache.catalina.startup.ContextConfig.lifecycleEvent(ContextConfig.java:486) at org.apache.catalina.util.LifecycleSupport.fireLifecycleEvent(LifecycleSupport.java:163) at org.apache.catalina.core.StandardContext.start(StandardContext.java:5861) ... 66 more Caused by: javax.servlet.ServletException: com.sun.enterprise.container.common.spi.util.InjectionException: Error creating managed object for class: class org.jboss.weld.servlet.WeldListener at org.apache.catalina.core.StandardContext.createListener(StandardContext.java:3391) at org.apache.catalina.core.StandardContext.loadListener(StandardContext.java:5414) at com.sun.enterprise.web.WebModule.loadListener(WebModule.java:1788) at org.apache.catalina.core.StandardContext.addListener(StandardContext.java:3268) ... 73 more Caused by: com.sun.enterprise.container.common.spi.util.InjectionException: Error creating managed object for class: class org.jboss.weld.servlet.WeldListener at com.sun.enterprise.container.common.impl.util.InjectionManagerImpl.createManagedObject(InjectionManagerImpl.java:329) at com.sun.enterprise.web.WebContainer.createListenerInstance(WebContainer.java:1015) at com.sun.enterprise.web.WebModule.createListenerInstance(WebModule.java:2158) at org.apache.catalina.core.StandardContext.createListener(StandardContext.java:3389) ... 76 more Caused by: java.lang.NullPointerException at org.jboss.weld.bootstrap.WeldBootstrap.getManager(WeldBootstrap.java:435) at org.glassfish.weld.services.JCDIServiceImpl.createManagedObject(JCDIServiceImpl.java:320) at org.glassfish.weld.services.JCDIServiceImpl.createManagedObject(JCDIServiceImpl.java:263) at com.sun.enterprise.container.common.impl.managedbean.ManagedBeanManagerImpl.createManagedBean(ManagedBeanManagerImpl.java:485) at com.sun.enterprise.container.common.impl.managedbean.ManagedBeanManagerImpl.createManagedBean(ManagedBeanManagerImpl.java:439) at com.sun.enterprise.container.common.impl.util.InjectionManagerImpl.createManagedObject(InjectionManagerImpl.java:313) ... 79 more This is constraint xml file <constraint-definition annotation="org.hibernate.validator.constraints.NotNull"> <validated-by include-existing-validators="true"> <value>es.project.validator.customConstraint.NotEmptyValidator</value> </validated-by> </constraint-definition> And validation.xml <validation-config xmlns="http://jboss.org/xml/ns/javax/validation/configuration" xsi:schemaLocation="http://jboss.org/xml/ns/javax/validation/configuration validation-configuration-1.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <constraint-mapping>META-INF/validation/mapping.xml</constraint-mapping> Project's structure WEB-INF +----\classes +-------\META-INF ------- validation.xml ----------\validation +----------\mapping.xml Validator code import javax.validation.ConstraintValidator; import javax.validation.ConstraintValidatorContext; import javax.validation.constraints.NotNull; import org.hibernate.validator.constraintvalidation.HibernateConstraintValidatorContext; public class NotEmptyValidator implements ConstraintValidator<NotNull,Object> { @Override public void initialize(NotNull constraintAnnotation) { } @Override public boolean isValid(Object value, ConstraintValidatorContext context) { if(value.toString().isEmpty()){ ........... ........... ........... } return true; } }

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  • Forward all traffic through an ssh tunnel

    - by Eamorr
    I hope someone can follow this and I'll explain as best I can. I'm trying to forward all traffic from port 6999 on x.x.x.224, through an ssh tunnel, and onto port 7000 on x.x.x.218. Here is some ASCII art: |browser|-----|Squid on x.x.x.224|------|ssh tunnel|------<satellite link>-----|Squid on x.x.x.218|-----|www| 3128 6999 7000 80 When I remove the ssh tunnel, everything works fine. The idea is to turn off encryption on the ssh tunnel (to save bandwidth) and turn on maximum compression (to save more bandwidth). This is because it's a satellite link. Here's the ssh tunnel I've been using: ssh -C -f -C -o CompressionLevel=9 -o Cipher=none [email protected] -L 7000:172.16.1.224:6999 -N The trouble is, I don't know how to get data from Squid on x.x.x.224 into the ssh tunnel? Am I going about this the wrong way? Should I create an ssh tunnel on x.x.x.218? I use iptables to stop squid on x.x.x.224 from reading port 80, but to feed from port 6999 instead (i.e. via the ssh tunnel). Do I need another iptables rule? Any comments greatly appreciated. Many thanks in advance, Regarding Eduardo Ivanec's question, here is a netstat -i any port 7000 -nn dump from x.x.x.218: 14:42:15.386462 IP 172.16.1.224.40006 > 172.16.1.218.7000: Flags [S], seq 2804513708, win 14600, options [mss 1460,sackOK,TS val 86702647 ecr 0,nop,wscale 4], length 0 14:42:15.386690 IP 172.16.1.218.7000 > 172.16.1.224.40006: Flags [R.], seq 0, ack 2804513709, win 0, length 0 Update 2: When I run the second command, I get the following error in my browser: ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://109.123.109.205/index.php Zero Sized Reply Squid did not receive any data for this request. Your cache administrator is webmaster. Generated Fri, 01 Jul 2011 16:06:06 GMT by remote-site (squid/2.7.STABLE9) remote-site is 172.16.1.224 When I do a tcpdump -i any port 7000 -nn I get the following: root@remote-site:~# tcpdump -i any port 7000 -nn tcpdump: verbose output suppressed, use -v or -vv for full protocol decode listening on any, link-type LINUX_SLL (Linux cooked), capture size 65535 bytes channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused channel 2: open failed: connect failed: Connection refused

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  • Windows 8.1 Insufficient storage available to create shadow copy

    - by Bob.at.SBS
    [Note: After I entered the problem statement, I found this question, which is apparently the same problem. Maybe one of us will get a good answer...] I have used the "Windows 7 File Recovery" tool under Windows 8 to create system image backups to an external USB hard drive. I built a new Windows 8.1 machine, and I want to create my first system image backup of that machine to the same USB hard drive. The "Windows 7 File Recovery" tool is gone in Windows 8.1, but wbAdmin is alive and well: wbAdmin start backup -backupTarget:\\?\Volume{2a2b...994f} -allCritical -quiet fails with this text displayed: wbadmin 1.0 - Backup command-line tool (C) Copyright 2013 Microsoft Corporation. All rights reserved. Retrieving volume information... This will back up (EFI System Partition),(C:),Recovery (300.00 MB) to \?\Volume {2a2b1255-3a86-11e3-be86-b8ca3a83994f}. The backup operation to F: is starting. Creating a shadow copy of the volumes specified for backup... Summary of the backup operation: The backup operation stopped before completing. The backup operation stopped before completing. Detailed error: ERROR - A Volume Shadow Copy Service operation error has occurred: (0x8004231f) Insufficient storage available to create either the shadow copy storage file or other shadow copy data. The EFI System Partition is 100 MB The Recovery Partition is 300 MB The C partition is 1.72 TB, NTFS, 218 GB used, 1.51 TB free The destination drive is 1.81 TB, NTFS, 678 GB used, 1.15 TB free I've fiddled with vssadmin resize shadowstorage, with no change in the error. vssadmin list shadowstorage displays: Shadow Copy Storage association For volume: (C:)\?\Volume{37a0...263}\ Shadow Copy Storage volume: (C:)\?\Volume{37a0...263}\ Used Shadow Copy Storage space: 2.39 GB (0%) Allocated Shadow Copy Storage space: 2.81 GB (0%) Maximum Shadow Copy Storage space: 531 GB (30%) Shadow Copy Storage association For volume: (F:)\?\Volume{2a2...94f}\ Shadow Copy Storage volume: (F:)\?\Volume{2a2...94f}\ Used Shadow Copy Storage space: 334 GB (17%) Allocated Shadow Copy Storage space: 337 GB (18%) Maximum Shadow Copy Storage space: UNBOUNDED (922154758%) (Yeah, the "percent calculation" for UNBOUNDED is seriously bogus.) I've run SFC /verifyonly and it seems happy. I've verified that the new `Volume Shadow Copy" service starts when I start the backup operation. Any suggestions?

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  • What is up with the Joy of Clojure 2nd edition?

    - by kurofune
    Manning just released the second edition of the beloved Joy of Clojure book, and while I share that love I get the feeling that many of the examples are already outdated. In particular, in the chapter on optimization the recommended type-hinting seems not to be allowed by the compiler. I don't know if this was allowable for older versions of Clojure. For example: (defn factorial-f [^long original-x] (loop [x original-x, acc 1] (if (>= 1 x) acc (recur (dec x) (*' x acc))))) returns: clojure.lang.Compiler$CompilerException: java.lang.UnsupportedOperationException: Can't type hint a primitive local, compiling:(null:3:1) Likewise, the chapter on core.logic seems be using an old API and I have to find workarounds for each example to accommodate the recent changes. For example, I had to turn this: (logic/defrel orbits orbital body) (logic/fact orbits :mercury :sun) (logic/fact orbits :venus :sun) (logic/fact orbits :earth :sun) (logic/fact orbits :mars :sun) (logic/fact orbits :jupiter :sun) (logic/fact orbits :saturn :sun) (logic/fact orbits :uranus :sun) (logic/fact orbits :neptune :sun) (logic/run* [q] (logic/fresh [orbital body] (orbits orbital body) (logic/== q orbital))) into this, leveraging the pldb lib: (pldb/db-rel orbits orbital body) (def facts (pldb/db [orbits :mercury :sun] [orbits :venus :sun] [orbits :earth :sun] [orbits :mars :sun] [orbits :jupiter :sun] [orbits :saturn :sun] [orbits :uranus :sun] [orbits :neptune :sun])) (pldb/with-db facts (logic/run* [q] (logic/fresh [orbital body] (orbits orbital body) (logic/== q orbital)))) I am still pulling teeth to get the later examples to work. I am relatively new programming, myself, so I wonder if I am naively looking over something here, or are if these points I'm making legitimate concerns? I really want to get good at this stuff like type-hinting and core.logic, but wanna make sure I am studying up to date materials. Any illuminating facts to help clear up my confusion would be most welcome.

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  • Using Javascript to call the Azure Blob Storage REST API

    - by user350829
    I'm developing a Flash app that saves files to the Azure Blob Storage API. I've learned that you should use the REST API directly rather than a go-between WCF service as this is the most efficient (using a web role is a bottleneck). The problem is that Flash can't do PUT or DELETE methods over Http and has to use external Javascript. This is not an area that I'm familiar with and need some advice/links to examples of using Javascript to work with the Storage API (I've obviously Googled this to no avail). Is this even possible? The Javascript would be hosted in a web role on the same domain. Many thanks, Ed

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  • Azure storage: Uploaded files with size zero bytes

    - by Fabio Milheiro
    When I upload an image file to a blob, the image is uploaded apparently successfully (no errors). When I go to cloud storage studio, the file is there, but with a size of 0 (zero) bytes. The following is the code that I am using: // These two methods belong to the ContentService class used to upload // files in the storage. public void SetContent(HttpPostedFileBase file, string filename, bool overwrite) { CloudBlobContainer blobContainer = GetContainer(); var blob = blobContainer.GetBlobReference(filename); if (file != null) { blob.Properties.ContentType = file.ContentType; blob.UploadFromStream(file.InputStream); } else { blob.Properties.ContentType = "application/octet-stream"; blob.UploadByteArray(new byte[1]); } } public string UploadFile(HttpPostedFileBase file, string uploadPath) { if (file.ContentLength == 0) { return null; } string filename; int indexBar = file.FileName.LastIndexOf('\\'); if (indexBar > -1) { filename = DateTime.UtcNow.Ticks + file.FileName.Substring(indexBar + 1); } else { filename = DateTime.UtcNow.Ticks + file.FileName; } ContentService.Instance.SetContent(file, Helper.CombinePath(uploadPath, filename), true); return filename; } // The above code is called by this code. HttpPostedFileBase newFile = Request.Files["newFile"] as HttpPostedFileBase; ContentService service = new ContentService(); blog.Image = service.UploadFile(newFile, string.Format("{0}{1}", Constants.Paths.BlogImages, blog.RowKey)); Before the image file is uploaded to the storage, the Property InputStream from the HttpPostedFileBase appears to be fine (the size of the of image corresponds to what is expected! And no exceptions are thrown). And the really strange thing is that this works perfectly in other cases (uploading Power Points or even other images from the Worker role). The code that calls the SetContent method seems to be exactly the same and file seems to be correct since a new file with zero bytes is created at the correct location. Does any one have any suggestion please? I debugged this code dozens of times and I cannot see the problem. Any suggestions are welcome! Thanks

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  • Silverlight isolated storage: what identifies an "application"?

    - by Joe White
    The docs for Silverlight's IsolatedStorageFile.GetUserStoreForApplication just say that the isolated storage is specific to the "application", and that each different application will have its own storage independent of all other "applications" (but with one quota for the entire domain). That's great, but I haven't found anything yet that explains just what "application" is supposed to mean (either in the Silverlight docs or the regular .NET Framework docs). What information does Silverlight, in particular, use to decide that "this is application A" and "this is application B"? Does it just go off the URI to the .xap file, or what?

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  • Access block level storage via kernel

    - by N 1.1
    How to access block level storage via the kernel (w/o using scsi libraries)? My intent is to implement a block level storage protocol over network for learning purpose, almost the same way SCSI works. Requests will be generated by initiator and sent to target (both userspace program) which makes call to kernel module and returns the data using TCP protocol to initiator. So far, I have managed to build a simple "Hello" module and run it (I am new at kernel programming), but unable to proceed with block access. After searching a lot, I found struct buffer_head * bread(int dev,int block) in linux/fs.h, but the compiler throws error. error: implicit declaration of function ‘bread’ Please help, also feel free to advice on starting with kernel programming. Thank you!

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  • Storage for large gridded datasets

    - by nullglob
    I am looking for a good storage format for large, gridded datasets. The application is meteorology, and we would prefer a format that is common within this field (to help exchange data with others). I don't need to deal with special data structures, and there should be a Fortran API. I am currently considering HDF5, GRIB2 and NetCDF4. How do these formats compare in terms of data compression? What are their main limitations? How steep is the learning curve? Are there any other storage formats worth investigating? I have not found a great deal of material outlining the differences and pros/cons of these formats (there is one relevant SO thread, and a presentation comparing GRIB and NetCDF).

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  • Are there any home/soho NAS devices that will backup/sync to the cloud?

    - by 3rdparty
    Looking for a home office (SOHO) market (priced) network hard drive (NAS) that will sync some or all of its content to a cloud-based backup service. The only option I've been able to find so far is NetGear's [ReadyNAS Vault][1] however from what I've read it's not as secure as it could be, and the service is quite expensive ($200/yr for 50GB of cloud storage) - it's 'powered' by ElephantDrive Ideally would love to see something like Wuala integrated into a Lacie Network HDD - conveniently, I suspect this is in the works as Lacie recently acquired Wuala, however nothing has come of it yet. I know there are options to use rsync with a customizable NAS (such as the very versatile and hackable D-Link DNS-323, but the easier this is to setup and maintain, the better. Thanks! ps. I had many links posted within this question, but was limited to posting with only one due to anti-spam restrictions - gotta get my 'reputation' higher!

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  • MySQL unstable behavior with external stroge

    - by onurozcelik
    In our project we are using MySQL 5.0.90(InnoDB engine) server with an external storage. We store MySQL data files in an external storage. When the external storage down for a reason we have unstable behaviours. So we made some tests. In Windows Server 2008 We closed external storage physically. MySQL service stoped and we could not reach the server. Then we opened the storage unit and we could not start service until we reconfigured MySQL. We made storage unit offline from operating system. After 3-4 minutes and some insert trials(some insert trials succeded) MySQL service stoped and we could not reach the server. Then we made storage unit online and we could start the service(not automatically). In Windows Server 2003 We made storage unit offline. After 3-4 minutes and some insert trials(some insert trials succeded) MySQL service stoped and we could not reach the server. Then we made storage unit online we could not start the service until we reinstalled MySQL. Before reinstall we tried to reconfigure but it did not work. We closed external storage physically. MySQL service stoped and we could not reach the server. After that we opened the storage unit and we could start service(not automatically) We expect service to autostart after storage unit is online/open. But these tests show unstable behaviors. Is there any solutions to this.

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  • Flexible cloud file storage for a web.py app?

    - by benwad
    I'm creating a web app using web.py (although I may later rewrite it for Tornado) which involves a lot of file manipulation. One example, the app will have a git-style 'commit' operation, in which some files are sent to the server and placed in a new folder along with the unchanged files from the last version. This will involve copying the old folder to the new folder, replacing/adding/deleting the files in the commit to the new folder, then deleting all unchanged files in the old folder (as they are now in the new folder). I've decided on Heroku for the app hosting environment, and I am currently looking at cloud storage options that are built with these kinds of operations in mind. I was thinking of Amazon S3, however I'm not sure if that lets you carry out these kinds of file operations in-place. I was thinking I may have to load these files into the server's RAM and then re-insert them into the bucket, costing me a fortune. I was also thinking of Progstr Filer (http://filer.progstr.com/index.html) but that seems to only integrate with Rails apps. Can anyone help with this? Basically I want file operations to be as cheap as possible.

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  • Dark Sun Dispatch 001

    - by Chris Williams
    If you aren't into tabletop (aka pen & paper) RPGs, you might as well click to the next post now... Still here? Awesome. I've recently started running a new D&D 4.0 Dark Sun campaign. If you don't know anything about Dark Sun, here's a quick intro: The campaign take place on the world of Athas, formerly a lush green world that is now a desert wasteland. Forests are rare in the extreme, as is water and metal. Coins are made of ceramic and weapons are often made of hardened wood, bone or obsidian. The green age of Athas was centuries ago and the current state was brought about through the reckless use of sorcerous magic. (In this world, you can augment spells by drawing on the life force of the world & people around you. This is called defiling. Preserving magic draws upon the casters life force and does not damage the surrounding world, but it isn't as powerful.) Humans are pretty much unchanged, but the traditional fantasy races have changed quite a bit. Elves don't live in the forest, they are shifty and untrustworthy desert traders known for their ability to run long distances through the wastes. Halflings are not short, fat, pleasant little riverside people. Instead they are bloodthirsty feral cannibals that roam the few remaining forests and ride reptilians beasts akin to raptors. Gnomes are extinct, as are orcs. Dwarves are mostly farmers and gladiators, and live out in the sun instead of staying under the mountains. Goliaths are half-giants, not known for their intellect. Muls are a Dwarf & Human crossbreed that displays the best traits of both races (human height and dwarven stoutness.) Thri-Kreen are sentient mantis people that are extremely fast. Most of the same character classes are available, with a few new twists. There are no divine characters (such as Priests, Paladins, etc) because the gods are gone. Nobody alive today can remember a time when they were still around. Instead, some folks worship the elemental forces (although they don't give out spells.) The cities are all ruled by Sorcerer King tyrants (except one city: Tyr) who are hundreds of years old and still practice defiling magic whenever they please. Serving the Sorcerer Kings are the Templars, who are also defilers and psionicists. Crossing them is as bad, in many cases, as crossing the Kings themselves. Between the cities you have small towns and trading outposts, and mostly barren desert with sometimes 4-5 days on foot between towns and the nearest oasis. Being caught out in the desert without adequate supplies and protection from the elements is pretty much a death sentence for even the toughest heroes. When you add in the natural (and unnatural) predators that roam the wastes, often in packs, most people don't last long alone. In this campaign, the adventure begins in the (small) trading fortress of Altaruk, a couple weeks walking distance from the newly freed city of Tyr. A caravan carrying trade goods from Altaruk has not made it to Tyr and the local merchant house has dispatched the heroes to find out what happened and to retrieve the goods (and drivers) if possible. The unlikely heroes consist of a human shaman, a thri-kreen monk, a human wizard, a kenku assassin and a (void aspect) genasi swordmage. Gathering up supplies and a little liquid courage, they set out into the desert and manage to find the northbound tracks of the wagon. Shortly after finding the tracks, they are ambushed by a pack of silt-runners (small lizard people with very large teeth and poisoned pointy spears.) The party makes short work of the creatures, taking a few minor wounds in the process. Proceeding onward without resting, they find the remains of the wagon and manage to sneak up on a pack of Kruthiks picking through the rubble and spilled goods. Unfortunately, they failed to take advantage of the opportunity and had a hard fight ahead of them. The party defeated the kruthiks, but took heavy damage (and almost lost a couple of their own) in the process. Once the kruthiks were dispatched, they followed a set of tracks further north to a ruined tower...

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  • Remote Scripted Installation of Sun/Oracle JRE

    - by chrisbunney
    I'm attempting to automate the installation of a Debian server (debian 6.0 squeeze 64bit). Part of the installation requires the Sun JRE package to be installed. This package has a licence agreement, which has to be accepted. I have a script which uses the following lines to accept and install the JRE: echo "sun-java6-bin shared/accepted-sun-dlj-v1-1 boolean true" | debconf-set-selections apt-get install -y sun-java6-jre This works fine when executing the script locally. However, I need to execute the script remotely using the ssh command, e.g.: ssh -i keyFile root@hostname './myScript' This doesn't work. In particular, it fails on apt-get install -y sun-java6-jre. It would seem that in spite of me setting the licence agreement to accepted, when run remotely in this manner it is ignored. Despite setting the value to true, I still get prompted to manually accept the agreement when I run this command: ssh -i keyFile root@hostname 'apt-get install -y sun-java6-jre' I suspect it is something to do with environment that is taken care of when running a proper terminal session, but have no idea what to try next to fix it. So, what do I have to do to get this command (and hence my deployment script) to run correctly when executing it remotely? Or is there an alternative way that allows me to install the JRE remotely by another means? Edit 0: I have compared the output of env when executed remotely via ssh and when executed via a local terminal session. The only difference between the outputs is that the local terminal session has the additional value TERM=xterm.

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  • Does ILOM on recent Sun rackmount servers fully support Linux?

    - by orange80
    Do the recent Sun rackmount servers with ILOM fully support installation of Linux (Ubuntu or Fedora maybe) via the ILOM (connected by ssh) without having to hook up a display, kbd, and mouse? I have an old Sun v20z right now that will install Solaris no problem over the Service Processor but when trying to install Ubuntu 9 64-bit server I get one line on the console then it goes blank. I'd be interested in know which if any of the recent x64 models would allow me to install and run linux while completely avoiding any need for external display, keyboard, or mouse. Thanks!

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  • Sun Oracle Database Machine a román Banca Transilvaniánál

    - by Fekete Zoltán
    Oracle sajtóhír: Banca Transilvania, first institution in Romania to use Sun Oracle Database Machine (English version) Sikersztori, ügyféltörténet pdf-ben. Az Database Machine V2 megjelenését 2009 szeptemberben jelentette az Oracle. A világon az elso bank, ahol már élesben muködik a Database Machine V2, a romániai Banca Transilvania! Olvassa el a sajtóhírt. A Banca Transilvania 1,5 milló ügyféllel rendelkezik. "This system, product of Oracle and Sun, is the fastest server in the world for data storage, online transactions processing and data warehousing applications." Robert C. Rekkers, Banca Transilvania CEO, ezt nyilatkozta:"Business information is accessed 30 times faster using the new system, leading to quicker decisions and a better data base segmentation", azaz a Database Machine segítségével az üzleti kérséseket 30-szor gyorsabban tudják megválaszolni, mint a korábbi rendszerrel. Leontin Toderici, Banca Transilvania COO mondta a következot: "The acquisition price was excellent, as the costs were below those of an ordinary system", azaz a rendszer ára kiváló volt, kisebb volt a kötsége, mint a hagyományos rendszereké. Sorin Mindrutescu, az Oracle Romania vezetoje büszke arra, hogy egy romániai cég is az innovatív rendszer felhasználói között lehet.: "Oracle Exadata V2 is the result of over 30 years of experience in hardware and software development of two leader companies. I am glad that a top Romanian company is amongst the first in the world to use this innovative product." Az Exadata termékcsalád és a Database Machine kiváló eszköz OLTP rendszerek, adattárházak, konszolidációs megoldások adatbázisainak futtatására. Egy csomagban a tartalmazza a szoftvert és az "okos" hardvert, az adatfeldoldozó, a tároló (storage) komponenseket, mindezt az extrém gyors Infiniband kapcsolatokkal összekötve. A Banca Transilvani az Oracle readingi (Nagy-Britannia) központjában tesztelte a Database Machine rendszert, s a korábbi rendszernél tízszer, néhol hetvenkettoször gyorsabb teljesítményt kaptak, 10-72-szeres teljesítménynövekedés!, említette Tudor Iliescu, Trend Import - Export CEO. A központi Oracle sajtóhír: Customers Select Oracle® Exadata for Extreme Performance of Data Warehouse and OLTP Applications

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  • Ubuntu Software Centre Issue (unity 11.10) after broken sun-java6-jre package installation

    - by Stephen Myall
    I have been installing software packages from USC and I am getting the following error message. Worked fine one minute then the message below. Tried to search but couldn't find a solution Previously I was installing the sun-java6-jre package in terminal and had an connection outage and it didnt complete. I attempted an apt-get -f install with no success. i dont know what to try next. I'm relatively new to Linux. The answer provided with a similar question on this site didnt resolve the issue for meClick on this link An unhandlable error occured There seems to be a programming error in aptdaemon, the software that allows you to install/remove software and to perform other package management related tasks. Details File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 1092, in _simulate_helper return depends, self._cache.required_download, \ File "/usr/lib/python2.7/dist-packages/apt/cache.py", line 235, in required_download pm.get_archives(fetcher, self._list, self._records) SystemError: E:I wasn't able to locate a file for the sun-java6-jre package. This might mean you need to manually fix this package. Terminal Output Link http://dl.dropbox.com/u/48466855/Terminal%20output.odt

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  • XenServer 5.5 local storage problem

    - by Jason Nerer
    Hi community, I have the following problem with a Citrix XenServer 5.5. I had to physically move the host, so I shut down all machines via console: xe vm-shutdown force=true vm=my-machine-uuis-s After that I shut down the machine itself by issuing: halt After the reboot today the local storage repository is unplugged. I was trying to repair it via XenCenter, but I don't trust this one. So I tried: [root@xenserver ~]# xe pbd-list uuid ( RO) : ef6e2f3b-5825-393c-23e1-391d105c87ec host-uuid ( RO): c4bcf09c-2e52-448f-8210-df5d13bd33a9 sr-uuid ( RO): 2fb3be9c-075c-53ed-acb6-42f0c4ad0614 device-config (MRO): device: /dev/disk/by-id/scsi-SATA_WDC_WD5001ABYS-_WD-WCAS83698154,/dev/disk/by-id/scsi-SATA_WDC_WD5001ABYS-_WD-WCAS83694262 currently-attached ( RO): false To reattach the storage I issued: xe pbd-plug uuid=ef6e2f3b-5825-393c-23e1-391d105c87ec That one is running now for a while but not talking to me. The local repo has around 1TB. Should I wait, or are there any other options to reattach the local repo? What could have caused this problem? Any ideas? Thx. J

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  • Large scale storage for incrementally-appended documents?

    - by Ben Dilts
    I need to store hundreds of thousands (right now, potentially many millions) of documents that start out empty and are appended to frequently, but never updated otherwise or deleted. These documents are not interrelated in any way, and just need to be accessed by some unique ID. Read accesses are some subset of the document, which almost always starts midway through at some indexed location (e.g. "document #4324319, save #53 to the end"). These documents start very small, at several KB. They typically reach a final size around 500KB, but many reach 10MB or more. I'm currently using MySQL (InnoDB) to store these documents. Each of the incremental saves is just dumped into one big table with the document ID it belongs to, so reading part of a document looks like "select * from saves where document_id=14 and save_id 53 order by save_id", then manually concatenating it all together in code. Ideally, I'd like the storage solution to be easily horizontally scalable, with redundancy across servers (e.g. each document stored on at least 3 nodes) with easy recovery of crashed servers. I've looked at CouchDB and MongoDB as possible replacements for MySQL, but I'm not sure that either of them make a whole lot of sense for this particular application, though I'm open to being convinced. Any input on a good storage solution?

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