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  • Shared storage for web cluster

    - by user52475
    Hi all! Have a big question about shared/clustered/distributed file system for storage. It will shared storage for shared web hosting (web files + maildir) and OpenVZ containers storage . Have any one working example of such system? The options are: Lustre GFS1/GFS2 - GFS2 - as I understand is EXPERIMENTAL... NFS This 3 systems which I consider for shared storage. Now I have storage with HW RAID 10 - 1TB. NFS - As I know there will be problem with locking? GFS/Lustre - problems when there will be a lot of small files , what is typical for hosting environment and problems with maildir.

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  • Shouldn't storage classes be taught early in a C class or book?

    - by Adam Mendoza
    Shouldn't storage classes be taught early in a C class or book? I notice that a lot of books, even some of the better ones, covert it toward and end of the book and some books just add it as an appendix. I would teach it together with variables. This is so foundational and I think unfortunately many do not make it that far in a book. Now that auto has a different meaning (vs being optional) it may confuse people that didn't realize it has always been there. for example: C Programming: A Modern Approach 18.2 Storage Classes 401 Properties of Variables 401 The auto Storage Class 402 The static Storage Class 403 The extern Storage Class 404 The register Storage Class 405 The Storage Class of a Function 406 Summary 407

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  • Transactional Messaging in the Windows Azure Service Bus

    - by Alan Smith
    Introduction I’m currently working on broadening the content in the Windows Azure Service Bus Developer Guide. One of the features I have been looking at over the past week is the support for transactional messaging. When using the direct programming model and the WCF interface some, but not all, messaging operations can participate in transactions. This allows developers to improve the reliability of messaging systems. There are some limitations in the transactional model, transactions can only include one top level messaging entity (such as a queue or topic, subscriptions are no top level entities), and transactions cannot include other systems, such as databases. As the transaction model is currently not well documented I have had to figure out how things work through experimentation, with some help from the development team to confirm any questions I had. Hopefully I’ve got the content mostly correct, I will update the content in the e-book if I find any errors or improvements that can be made (any feedback would be very welcome). I’ve not had a chance to look into the code for transactions and asynchronous operations, maybe that would make a nice challenge lab for my Windows Azure Service Bus course. Transactional Messaging Messaging entities in the Windows Azure Service Bus provide support for participation in transactions. This allows developers to perform several messaging operations within a transactional scope, and ensure that all the actions are committed or, if there is a failure, none of the actions are committed. There are a number of scenarios where the use of transactions can increase the reliability of messaging systems. Using TransactionScope In .NET the TransactionScope class can be used to perform a series of actions in a transaction. The using declaration is typically used de define the scope of the transaction. Any transactional operations that are contained within the scope can be committed by calling the Complete method. If the Complete method is not called, any transactional methods in the scope will not commit.   // Create a transactional scope. using (TransactionScope scope = new TransactionScope()) {     // Do something.       // Do something else.       // Commit the transaction.     scope.Complete(); }     In order for methods to participate in the transaction, they must provide support for transactional operations. Database and message queue operations typically provide support for transactions. Transactions in Brokered Messaging Transaction support in Service Bus Brokered Messaging allows message operations to be performed within a transactional scope; however there are some limitations around what operations can be performed within the transaction. In the current release, only one top level messaging entity, such as a queue or topic can participate in a transaction, and the transaction cannot include any other transaction resource managers, making transactions spanning a messaging entity and a database not possible. When sending messages, the send operations can participate in a transaction allowing multiple messages to be sent within a transactional scope. This allows for “all or nothing” delivery of a series of messages to a single queue or topic. When receiving messages, messages that are received in the peek-lock receive mode can be completed, deadlettered or deferred within a transactional scope. In the current release the Abandon method will not participate in a transaction. The same restrictions of only one top level messaging entity applies here, so the Complete method can be called transitionally on messages received from the same queue, or messages received from one or more subscriptions in the same topic. Sending Multiple Messages in a Transaction A transactional scope can be used to send multiple messages to a queue or topic. This will ensure that all the messages will be enqueued or, if the transaction fails to commit, no messages will be enqueued.     An example of the code used to send 10 messages to a queue as a single transaction from a console application is shown below.   QueueClient queueClient = messagingFactory.CreateQueueClient(Queue1);   Console.Write("Sending");   // Create a transaction scope. using (TransactionScope scope = new TransactionScope()) {     for (int i = 0; i < 10; i++)     {         // Send a message         BrokeredMessage msg = new BrokeredMessage("Message: " + i);         queueClient.Send(msg);         Console.Write(".");     }     Console.WriteLine("Done!");     Console.WriteLine();       // Should we commit the transaction?     Console.WriteLine("Commit send 10 messages? (yes or no)");     string reply = Console.ReadLine();     if (reply.ToLower().Equals("yes"))     {         // Commit the transaction.         scope.Complete();     } } Console.WriteLine(); messagingFactory.Close();     The transaction scope is used to wrap the sending of 10 messages. Once the messages have been sent the user has the option to either commit the transaction or abandon the transaction. If the user enters “yes”, the Complete method is called on the scope, which will commit the transaction and result in the messages being enqueued. If the user enters anything other than “yes”, the transaction will not commit, and the messages will not be enqueued. Receiving Multiple Messages in a Transaction The receiving of multiple messages is another scenario where the use of transactions can improve reliability. When receiving a group of messages that are related together, maybe in the same message session, it is possible to receive the messages in the peek-lock receive mode, and then complete, defer, or deadletter the messages in one transaction. (In the current version of Service Bus, abandon is not transactional.)   The following code shows how this can be achieved. using (TransactionScope scope = new TransactionScope()) {       while (true)     {         // Receive a message.         BrokeredMessage msg = q1Client.Receive(TimeSpan.FromSeconds(1));         if (msg != null)         {             // Wrote message body and complete message.             string text = msg.GetBody<string>();             Console.WriteLine("Received: " + text);             msg.Complete();         }         else         {             break;         }     }     Console.WriteLine();       // Should we commit?     Console.WriteLine("Commit receive? (yes or no)");     string reply = Console.ReadLine();     if (reply.ToLower().Equals("yes"))     {         // Commit the transaction.         scope.Complete();     }     Console.WriteLine(); }     Note that if there are a large number of messages to be received, there will be a chance that the transaction may time out before it can be committed. It is possible to specify a longer timeout when the transaction is created, but It may be better to receive and commit smaller amounts of messages within the transaction. It is also possible to complete, defer, or deadletter messages received from more than one subscription, as long as all the subscriptions are contained in the same topic. As subscriptions are not top level messaging entities this scenarios will work. The following code shows how this can be achieved. try {     using (TransactionScope scope = new TransactionScope())     {         // Receive one message from each subscription.         BrokeredMessage msg1 = subscriptionClient1.Receive();         BrokeredMessage msg2 = subscriptionClient2.Receive();           // Complete the message receives.         msg1.Complete();         msg2.Complete();           Console.WriteLine("Msg1: " + msg1.GetBody<string>());         Console.WriteLine("Msg2: " + msg2.GetBody<string>());           // Commit the transaction.         scope.Complete();     } } catch (Exception ex) {     Console.WriteLine(ex.Message); }     Unsupported Scenarios The restriction of only one top level messaging entity being able to participate in a transaction makes some useful scenarios unsupported. As the Windows Azure Service Bus is under continuous development and new releases are expected to be frequent it is possible that this restriction may not be present in future releases. The first is the scenario where messages are to be routed to two different systems. The following code attempts to do this.   try {     // Create a transaction scope.     using (TransactionScope scope = new TransactionScope())     {         BrokeredMessage msg1 = new BrokeredMessage("Message1");         BrokeredMessage msg2 = new BrokeredMessage("Message2");           // Send a message to Queue1         Console.WriteLine("Sending Message1");         queue1Client.Send(msg1);           // Send a message to Queue2         Console.WriteLine("Sending Message2");         queue2Client.Send(msg2);           // Commit the transaction.         Console.WriteLine("Committing transaction...");         scope.Complete();     } } catch (Exception ex) {     Console.WriteLine(ex.Message); }     The results of running the code are shown below. When attempting to send a message to the second queue the following exception is thrown: No active Transaction was found for ID '35ad2495-ee8a-4956-bbad-eb4fedf4a96e:1'. The Transaction may have timed out or attempted to span multiple top-level entities such as Queue or Topic. The server Transaction timeout is: 00:01:00..TrackingId:947b8c4b-7754-4044-b91b-4a959c3f9192_3_3,TimeStamp:3/29/2012 7:47:32 AM.   Another scenario where transactional support could be useful is when forwarding messages from one queue to another queue. This would also involve more than one top level messaging entity, and is therefore not supported.   Another scenario that developers may wish to implement is performing transactions across messaging entities and other transactional systems, such as an on-premise database. In the current release this is not supported.   Workarounds for Unsupported Scenarios There are some techniques that developers can use to work around the one top level entity limitation of transactions. When sending two messages to two systems, topics and subscriptions can be used. If the same message is to be sent to two destinations then the subscriptions would have the default subscriptions, and the client would only send one message. If two different messages are to be sent, then filters on the subscriptions can route the messages to the appropriate destination. The client can then send the two messages to the topic in the same transaction.   In scenarios where a message needs to be received and then forwarded to another system within the same transaction topics and subscriptions can also be used. A message can be received from a subscription, and then sent to a topic within the same transaction. As a topic is a top level messaging entity, and a subscription is not, this scenario will work.

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  • Windows Azure AppFabric: ServiceBus Queue WPF Sample

    - by xamlnotes
    The latest version of the AppFabric ServiceBus now has support for queues and topics. Today I will show you a bit about using queues and also talk about some of the best practices in using them. If you are just getting started, you can check out this site for more info on Windows Azure. One of the 1st things I thought if when Azure was announced back when was how we handle fault tolerance. Web sites hosted in Azure are no much of an issue unless they are using SQL Azure and then you must account for potential fault or latency issues. Today I want to talk a bit about ServiceBus and how to handle fault tolerance.  And theres stuff like connecting to the servicebus and so on you have to take care of. To demonstrate some of the things you can do, let me walk through this sample WPF app that I am posting for you to download. To start off, the application is going to need things like the servicenamespace, issuer details and so forth to make everything work.  To facilitate this I created settings in the wpf app for all of these items. Then I mapped a static class to them and set the values when the program loads like so: StaticElements.ServiceNamespace = Convert.ToString(Properties.Settings.Default["ServiceNamespace"]); StaticElements.IssuerName = Convert.ToString(Properties.Settings.Default["IssuerName"]); StaticElements.IssuerKey = Convert.ToString(Properties.Settings.Default["IssuerKey"]); StaticElements.QueueName = Convert.ToString(Properties.Settings.Default["QueueName"]);   Now I can get to each of these elements plus some other common values or instances directly from the StaticElements class. Now, lets look at the application.  The application looks like this when it starts:   The blue graphic represents the queue we are going to use.  The next figure shows the form after items were added and the queue stats were updated . You can see how the queue has grown: To add an item to the queue, click the Add Order button which displays the following dialog: After you fill in the form and press OK, the order is published to the ServiceBus queue and the form closes. The application also allows you to read the queued items by clicking the Process Orders button. As you can see below, the form shows the queued items in a list and the  queue has disappeared as its now empty. In real practice we normally would use a Windows Service or some other automated process to subscribe to the queue and pull items from it. I created a class named ServiceBusQueueHelper that has the core queue features we need. There are three public methods: * GetOrCreateQueue – Gets an instance of the queue description if the queue exists. if not, it creates the queue and returns a description instance. * SendMessageToQueue = This method takes an order instance and sends it to the queue. The call to the queue is wrapped in the ExecuteAction method from the Transient Fault Tolerance Framework and handles all the retry logic for the queue send process. * GetOrderFromQueue – Grabs an order from the queue and returns a typed order from the queue. It also marks the message complete so the queue can remove it.   Now lets turn to the WPF window code (MainWindow.xaml.cs). The constructor contains the 4 lines shown about to setup the static variables and to perform other initialization tasks. The next few lines setup certain features we need for the ServiceBus: TokenProvider credentials = TokenProvider.CreateSharedSecretTokenProvider(StaticElements.IssuerName, StaticElements.IssuerKey); Uri serviceUri = ServiceBusEnvironment.CreateServiceUri("sb", StaticElements.ServiceNamespace, string.Empty); StaticElements.CurrentNamespaceManager = new NamespaceManager(serviceUri, credentials); StaticElements.CurrentMessagingFactory = MessagingFactory.Create(serviceUri, credentials); The next two lines update the queue name label and also set the timer to 20 seconds.             QueueNameLabel.Content = StaticElements.QueueName;             _timer.Interval = TimeSpan.FromSeconds(20);             Next I call the UpdateQueueStats to initialize the UI for the queue:             UpdateQueueStats();             _timer.Tick += new EventHandler(delegate(object s, EventArgs a)                         {                      UpdateQueueStats();                  });             _timer.Start();         } The UpdateQueueStats method shown below. You can see that it uses the GetOrCreateQueue method mentioned earlier to grab the queue description, then it can get the MessageCount property.         private void UpdateQueueStats()         {             _queueDescription = _serviceBusQueueHelper.GetOrCreateQueue();             QueueCountLabel.Content = "(" + _queueDescription.MessageCount + ")";             long count = _queueDescription.MessageCount;             long queueWidth = count * 20;             QueueRectangle.Width = queueWidth;             QueueTickCount += 1;             TickCountlabel.Content = QueueTickCount.ToString();         }   The ReadQueueItemsButton_Click event handler calls the GetOrderFromQueue method and adds the order to the listbox. If you look at the SendQueueMessageController, you can see the SendMessage method that sends an order to the queue. Its pretty simple as it just creates a new CustomerOrderEntity instance,fills it and then passes it to the SendMessageToQueue. As you can see, all of our interaction with the queue is done through the helper class (ServiceBusQueueHelper). Now lets dig into the helper class. First, before you create anything like this, download the Transient Fault Handling Framework. Microsoft provides this free and they also provide the C# source. Theres a great article that shows how to use this framework with ServiceBus. I included the entire ServiceBusQueueHelper class in List 1. Notice the using statements for TransientFaultHandling: using Microsoft.AzureCAT.Samples.TransientFaultHandling; using Microsoft.AzureCAT.Samples.TransientFaultHandling.ServiceBus; The SendMessageToQueue in Listing 1 shows how to use the async send features of ServiceBus with them wrapped in the Transient Fault Handling Framework.  It is not much different than plain old ServiceBus calls but it sure makes it easy to have the fault tolerance added almost for free. The GetOrderFromQueue uses the standard synchronous methods to access the queue. The best practices article walks through using the async approach for a receive operation also.  Notice that this method makes a call to Receive to get the message then makes a call to GetBody to get a new strongly typed instance of CustomerOrderEntity to return. Listing 1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using Microsoft.AzureCAT.Samples.TransientFaultHandling; using Microsoft.AzureCAT.Samples.TransientFaultHandling.ServiceBus; using Microsoft.ServiceBus; using Microsoft.ServiceBus.Messaging; using System.Xml.Serialization; using System.Diagnostics; namespace WPFServicebusPublishSubscribeSample {     class ServiceBusQueueHelper     {         RetryPolicy currentPolicy = new RetryPolicy<ServiceBusTransientErrorDetectionStrategy>(RetryPolicy.DefaultClientRetryCount);         QueueClient currentQueueClient;         public QueueDescription GetOrCreateQueue()         {                        QueueDescription queue = null;             bool createNew = false;             try             {                 // First, let's see if a queue with the specified name already exists.                 queue = currentPolicy.ExecuteAction<QueueDescription>(() => { return StaticElements.CurrentNamespaceManager.GetQueue(StaticElements.QueueName); });                 createNew = (queue == null);             }             catch (MessagingEntityNotFoundException)             {                 // Looks like the queue does not exist. We should create a new one.                 createNew = true;             }             // If a queue with the specified name doesn't exist, it will be auto-created.             if (createNew)             {                 try                 {                     var newqueue = new QueueDescription(StaticElements.QueueName);                     queue = currentPolicy.ExecuteAction<QueueDescription>(() => { return StaticElements.CurrentNamespaceManager.CreateQueue(newqueue); });                 }                 catch (MessagingEntityAlreadyExistsException)                 {                     // A queue under the same name was already created by someone else,                     // perhaps by another instance. Let's just use it.                     queue = currentPolicy.ExecuteAction<QueueDescription>(() => { return StaticElements.CurrentNamespaceManager.GetQueue(StaticElements.QueueName); });                 }             }             currentQueueClient = StaticElements.CurrentMessagingFactory.CreateQueueClient(StaticElements.QueueName);             return queue;         }         public void SendMessageToQueue(CustomerOrderEntity Order)         {             BrokeredMessage msg = null;             GetOrCreateQueue();             // Use a retry policy to execute the Send action in an asynchronous and reliable fashion.             currentPolicy.ExecuteAction             (                 (cb) =>                 {                     // A new BrokeredMessage instance must be created each time we send it. Reusing the original BrokeredMessage instance may not                     // work as the state of its BodyStream cannot be guaranteed to be readable from the beginning.                     msg = new BrokeredMessage(Order);                     // Send the event asynchronously.                     currentQueueClient.BeginSend(msg, cb, null);                 },                 (ar) =>                 {                     try                     {                         // Complete the asynchronous operation.                         // This may throw an exception that will be handled internally by the retry policy.                         currentQueueClient.EndSend(ar);                     }                     finally                     {                         // Ensure that any resources allocated by a BrokeredMessage instance are released.                         if (msg != null)                         {                             msg.Dispose();                             msg = null;                         }                     }                 },                 (ex) =>                 {                     // Always dispose the BrokeredMessage instance even if the send                     // operation has completed unsuccessfully.                     if (msg != null)                     {                         msg.Dispose();                         msg = null;                     }                     // Always log exceptions.                     Trace.TraceError(ex.Message);                 }             );         }                 public CustomerOrderEntity GetOrderFromQueue()         {             CustomerOrderEntity Order = new CustomerOrderEntity();             QueueClient myQueueClient = StaticElements.CurrentMessagingFactory.CreateQueueClient(StaticElements.QueueName, ReceiveMode.PeekLock);             BrokeredMessage message;             ServiceBusQueueHelper serviceBusQueueHelper = new ServiceBusQueueHelper();             QueueDescription queueDescription;             queueDescription = serviceBusQueueHelper.GetOrCreateQueue();             if (queueDescription.MessageCount > 0)             {                 message = myQueueClient.Receive(TimeSpan.FromSeconds(90));                 if (message != null)                 {                     try                     {                         Order = message.GetBody<CustomerOrderEntity>();                         message.Complete();                     }                     catch (Exception ex)                     {                         throw ex;                     }                 }                 else                 {                     throw new Exception("Did not receive the messages");                 }             }             return Order;         }     } } I will post a link to the download demo in a separate post soon.

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  • SQL Sharding and SQL Azure&hellip;

    - by Dave Noderer
    Herve Roggero has just published a paper that outlines patterns for scaling using SQL Azure and the Blue Syntax (he and Scott Klein’s company) sharding api. You can find the paper at: http://www.bluesyntax.net/files/EnzoFramework.pdf Herve and Scott have also just released an Apress book Pro SQL Azure. The idea of being able to split (shard) database operations automatically and control them from a web based management console is very appealing. These ideas have been talked about for a long time and implemented in thousands of very custom ways that have been costly, complicated and fragile. Now, there is light at the end of the tunnel. Scaling database access will become easier and move into the mainstream of application development. The main cost is using an api whenever accessing the database. The api will direct the query to the correct database(s) which may be located locally or in the cloud. It is inevitable that the api will change in the future, perhaps incorporated into a Microsoft offering. Even if this is the case, your application has now been architected to utilize these patterns and details of the actual api will be less important. Herve does a great job of laying out the concepts which every developer and architect should be familiar with!

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  • TechEd 2012: Dude Where&rsquo;s My Azure

    - by Tim Murphy
    It has been a fun first morning at TechEd North America.  They keynote was both informative and entertaining.  Some of the high points included a walk through of Windows Server 2012 and its new Hyper-V capabilities and use of ODX (offloaded data transfer).  Between seeing stats like being able to being able run a Hyper-V VM with 1TB of memory and watching ODX move a 10GB file at a rate of 1GB per second was really impressive. The fun started when Scott Guthrie was doing his keynote demo and popped up an iPhone emulator from Visual Studio.  There is just something wrong with that picture and the WPDev community agreed.  This was followed by an iPad emulator and by that time the groans across Twitter were rolling. Later in the morning The Gu kept us laughing in the Azure Foundations session when he name a server Dude (I believe a suggestion from the crowd).  After that I thought I was watching the turtle in Finding Nemo.  Duuuuude! In the expo area the line for the Windows Phone booth was ridiculous.  Granted this is a Microsoft event and is sure to be full of MS fan boys, but the only other time I have seen that much enthusiasm for Windows Phones in one place was on the flight down. I am sure there will be a lot more to get excited about over the next few days.  Stay tuned. del.icio.us Tags: TechEd 2012,TechEd North America,Windows Phone,Azure,Scott Guthrie

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  • Backing up SQL Azure

    - by Herve Roggero
    That's it!!! After many days and nights... and an amazing set of challenges, I just released the Enzo Backup for SQL Azure BETA product (http://www.bluesyntax.net). Clearly, that was one of the most challenging projects I have done so far. Why??? Because to create a highly redundant system, expecting failures at all times for an operation that could take anywhere from a couple of minutes to a couple of hours, and still making sure that the operation completes at some point was remarkably challenging. Some routines have more error trapping that actual code... Here are a few things I had to take into account: Exponential Backoff (explained in another post) Dual dynamic determination of number of rows to backup  Dynamic reduction of batch rows used to restore the data Implementation of a flexible BULK Insert API that the tool could use Implementation of a custom Storage REST API to handle automatic retries Automatic data chunking based on blob sizes Compression of data Implementation of the Task Parallel Library at multiple levels including deserialization of Azure Table rows and backup/restore operations Full or Partial Restore operations Implementation of a Ghost class to serialize/deserialize data tables And that's just a partial list... I will explain what some of those mean in future blob posts. A lot of the complexities had to do with implementing a form of retry logic, depending on the resource and the operation.

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  • WordPress is now nicely supported on SQL Server (and SQL Azure for that matter)

    - by Eric Nelson
    WordPress is enormously popular for blogs and full websites thanks to an awesome eco system which has built up around it, the simplicity (relatively) of getting it up and running plus the flexibility to “bend it” in all sorts of directions. When I say bend, check out the following which are all WordPress sites My “back up blog” http://iupdateable.wordpress.com/  My groups “odd site” :) http://ubelly.com My favourite “cheap games” site http://www.frugalgaming.co.uk/  WordPress users typically run their sites on Linux and MySQL, although PHP (the language in which WordPress is written) can be happily run on Windows. Both fine technologies in their own right, but for me (and probably a fair few others) I would love to use WordPress but with the technologies I know best (aka Windows, IIS and SQL Server). However, that has proven to be actually rather tricky in practice to get working – until now. Earlier last month OmniTI released a patch for WordPress which provides SQL Server and SQL Azure support.  In parallel with that some fine folks inside Microsoft have also created http://wordpress.visitmix.com which contains information about running WordPress on the Microsoft platform with a particular focus on SQL Server and SQL Azure.  Top stuff! To run WordPress with SQL Server: Download and Install the WordPress on SQL Server Distro/Patch And then you will quite likely need to migrate: Check out how to Migrate to Windows and SQL Server by Zach Owens who is moving his blog to Windows and SQL Server Enjoy Related Links Running PHP on IIS on Windows http://php.iis.net/  If PHP is not your thing, then the following Blog engines are .NET based BlogEngine http://www.dotnetblogengine.net/ DasBlog http://www.dasblog.info/ Subtext http://subtextproject.com/ (which happens to power http://geekswithblogs.net where my main blog is http://geekswithblogs.net/iupdateable)

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  • Reading,Writing, Editing BLOBS through DataTables and DataRows

    - by Soham
    Consider this piece of code: DataSet ds = new DataSet(); SQLiteDataAdapter Da = new SQLiteDataAdapter(Command); Da.Fill(ds); DataTable dt = ds.Tables[0]; bool PositionExists; if (dt.Rows.Count > 0) { PositionExists = true; } else { PositionExists = false; } if (PositionExists) { //dt.Rows[0].Field<>("Date") } Here the "Date" field is a BLOB. My question is, a. Will reading through the DataAdapter create any problems later on, when I am working with BLOBS? More, specifically, will it read the BLOB properly? b. This was the read part.Now when I am writing the BLOB to the DB,its a queue actually. I.e I am trying to store a queue in MySQLite using a BLOB. Will Conn.ExecuteNonQuery() serve my purpose? c. When I am reading the BLOB back from the DB, can I edit it as the original datatype, it used to be in C# environment i.e { Queue - BLOB - ? } {C# -MySQL - C# } So in this context, Date field was a queue, I wrote it back as a BLOB, when reading it back, can I access it(and edit) as a queue? Thank You. Soham

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  • Running OpenStack Icehouse with ZFS Storage Appliance

    - by Ronen Kofman
    Couple of months ago Oracle announced the support for OpenStack Cinder plugin with ZFS Storage Appliance (aka ZFSSA).  With our recent release of the Icehouse tech preview I thought it is a good opportunity to demonstrate the ZFSSA plugin working with Icehouse. One thing that helps a lot to get started with ZFSSA is that it has a VirtualBox simulator. This simulator allows users to try out the appliance’s features before getting to a real box. Users can test the functionality and design an environment even before they have a real appliance which makes the deployment process much more efficient. With OpenStack this is especially nice because having a simulator on the other end allows us to test the complete set of the Cinder plugin and check the entire integration on a single server or even a laptop. Let’s see how this works Installing and Configuring the Simulator To get started we first need to download the simulator, the simulator is available here, unzip it and it is ready to be imported to VirtualBox. If you do not already have VirtualBox installed you can download it from here according to your platform of choice. To import the simulator go to VirtualBox console File -> Import Appliance , navigate to the location of the simulator and import the virtual machine. When opening the virtual machine you will need to make the following changes: - Network – by default the network is “Host Only” , the user needs to change that to “Bridged” so the VM can connect to the network and be accessible. - Memory (optional) – the VM comes with a default of 2560MB which may be fine but if you have more memory that could not hurt, in my case I decided to give it 8192 - vCPU (optional) – the default the VM comes with 1 vCPU, I decided to change it to two, you are welcome to do so too. And here is how the VM looks like: Start the VM, when the boot process completes we will need to change the root password and the simulator is running and ready to go. Now that the simulator is up and running we can access simulated appliance using the URL https://<IP or DNS name>:215/, the IP is showing on the virtual machine console. At this stage we will need to configure the appliance, in my case I did not change any of the default (in other words pressed ‘commit’ several times) and the simulated appliance was configured and ready to go. We will need to enable REST access otherwise Cinder will not be able to call the appliance we do that in Configuration->Services and at the end of the page there is ‘REST’ button, enable it. If you are a more advanced user you can set additional features in the appliance but for the purpose of this demo this is sufficient. One final step will be to create a pool, go to Configuration -> Storage and add a pool as shown below the pool is named “default”: The simulator is now running, configured and ready for action. Configuring Cinder Back to OpenStack, I have a multi node deployment which we created according to the “Getting Started with Oracle VM, Oracle Linux and OpenStack” guide using Icehouse tech preview release. Now we need to install and configure the ZFSSA Cinder plugin using the README file. In short the steps are as follows: 1. Copy the file from here to the control node and place them at: /usr/lib/python2.6/site-packages/cinder/volume/drivers/zfssa 2. Configure the plugin, editing /etc/cinder/cinder.conf # Driver to use for volume creation (string value) #volume_driver=cinder.volume.drivers.lvm.LVMISCSIDriver volume_driver=cinder.volume.drivers.zfssa.zfssaiscsi.ZFSSAISCSIDriver zfssa_host = <HOST IP> zfssa_auth_user = root zfssa_auth_password = <ROOT PASSWORD> zfssa_pool = default zfssa_target_portal = <HOST IP>:3260 zfssa_project = test zfssa_initiator_group = default zfssa_target_interfaces = e1000g0 3. Restart the cinder-volume service: service openstack-cinder-volume restart 4. Look into the log file, this will tell us if everything works well so far. If you see any errors fix them before continuing. 5. Install iscsi-initiator-utils package, this is important since the plugin uses iscsi commands from this package: yum install -y iscsi-initiator-utils The installation and configuration are very simple, we do not need to have a “project” in the ZFSSA but we do need to define a pool. Creating and Using Volumes in OpenStack We are now ready to work, to get started lets create a volume in OpenStack and see it showing up on the simulator: #  cinder create 2 --display-name my-volume-1 +---------------------+--------------------------------------+ |       Property      |                Value                 | +---------------------+--------------------------------------+ |     attachments     |                  []                  | |  availability_zone  |                 nova                 | |       bootable      |                false                 | |      created_at     |      2014-08-12T04:24:37.806752      | | display_description |                 None                 | |     display_name    |             my-volume-1              | |      encrypted      |                False                 | |          id         | df67c447-9a36-4887-a8ff-74178d5d06ee | |       metadata      |                  {}                  | |         size        |                  2                   | |     snapshot_id     |                 None                 | |     source_volid    |                 None                 | |        status       |               creating               | |     volume_type     |                 None                 | +---------------------+--------------------------------------+ In the simulator: Extending the volume to 5G: # cinder extend df67c447-9a36-4887-a8ff-74178d5d06ee 5 In the simulator: Creating templates using Cinder Volumes By default OpenStack supports ephemeral storage where an image is copied into the run area during instance launch and deleted when the instance is terminated. With Cinder we can create persistent storage and launch instances from a Cinder volume. Booting from volume has several advantages, one of the main advantages of booting from volumes is speed. No matter how large the volume is the launch operation is immediate there is no copying of an image to a run areas, an operation which can take a long time when using ephemeral storage (depending on image size). In this deployment we have a Glance image of Oracle Linux 6.5, I would like to make it into a volume which I can boot from. When creating a volume from an image we actually “download” the image into the volume and making the volume bootable, this process can take some time depending on the image size, during the download we will see the following status: # cinder create --image-id 487a0731-599a-499e-b0e2-5d9b20201f0f --display-name ol65 2 # cinder list +--------------------------------------+-------------+--------------+------+-------------+ |                  ID                  |    Status   | Display Name | Size | Volume Type | … +--------------------------------------+-------------+--------------+------+------------- | df67c447-9a36-4887-a8ff-74178d5d06ee |  available  | my-volume-1  |  5   |     None    | … | f61702b6-4204-4f10-8bdf-7da792f15c28 | downloading |     ol65     |  2   |     None    | … +--------------------------------------+-------------+--------------+------+-------------+ After the download is complete we will see that the volume status changed to “available” and that the bootable state is “true”. We can use this new volume to boot an instance from or we can use it as a template. Cinder can create a volume from another volume and ZFSSA can replicate volumes instantly in the back end. The result is an efficient template model where users can spawn an instance from a “template” instantly even if the template is very large in size. Let’s try replicating the bootable volume with the Oracle Linux 6.5 on it creating additional 3 bootable volumes: # cinder create 2 --source-volid f61702b6-4204-4f10-8bdf-7da792f15c28 --display-name ol65-bootable-1 # cinder create 2 --source-volid f61702b6-4204-4f10-8bdf-7da792f15c28 --display-name ol65-bootable-2 # cinder create 2 --source-volid f61702b6-4204-4f10-8bdf-7da792f15c28 --display-name ol65-bootable-3 # cinder list +--------------------------------------+-----------+-----------------+------+-------------+----------+-------------+ |                  ID                  |   Status  |   Display Name  | Size | Volume Type | Bootable | Attached to | +--------------------------------------+-----------+-----------------+------+-------------+----------+-------------+ | 9bfe0deb-b9c7-4d97-8522-1354fc533c26 | available | ol65-bootable-2 |  2   |     None    |   true   |             | | a311a855-6fb8-472d-b091-4d9703ef6b9a | available | ol65-bootable-1 |  2   |     None    |   true   |             | | df67c447-9a36-4887-a8ff-74178d5d06ee | available |   my-volume-1   |  5   |     None    |  false   |             | | e7fbd2eb-e726-452b-9a88-b5eee0736175 | available | ol65-bootable-3 |  2   |     None    |   true   |             | | f61702b6-4204-4f10-8bdf-7da792f15c28 | available |       ol65      |  2   |     None    |   true   |             | +--------------------------------------+-----------+-----------------+------+-------------+----------+-------------+ Note that the creation of those 3 volume was almost immediate, no need to download or copy, ZFSSA takes care of the volume copy for us. Start 3 instances: # nova boot --boot-volume a311a855-6fb8-472d-b091-4d9703ef6b9a --flavor m1.tiny ol65-instance-1 --nic net-id=25b19746-3aea-4236-8193-4c6284e76eca # nova boot --boot-volume 9bfe0deb-b9c7-4d97-8522-1354fc533c26 --flavor m1.tiny ol65-instance-2 --nic net-id=25b19746-3aea-4236-8193-4c6284e76eca # nova boot --boot-volume e7fbd2eb-e726-452b-9a88-b5eee0736175 --flavor m1.tiny ol65-instance-3 --nic net-id=25b19746-3aea-4236-8193-4c6284e76eca Instantly replicating volumes is a very powerful feature, especially for large templates. The ZFSSA Cinder plugin allows us to take advantage of this feature of ZFSSA. By offloading some of the operations to the array OpenStack create a highly efficient environment where persistent volume can be instantly created from a template. That’s all for now, with this environment you can continue to test ZFSSA with OpenStack and when you are ready for the real appliance the operations will look the same. @RonenKofman

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  • ?Oracle Database 12c????Information Lifecycle Management ILM?Storage Enhancements

    - by Liu Maclean(???)
    Oracle Database 12c????Information Lifecycle Management ILM ?????????Storage Enhancements ???????? Lifecycle Management ILM ????????? Automatic Data Placement ??????, ??ADP? ?????? 12c???????Datafile??? Online Move Datafile, ????????????????datafile???????,??????????????? ????(12.1.0.1)Automatic Data Optimization?heat map????????: ????????? (CDB)?????Automatic Data Optimization?heat map Row-level policies for ADO are not supported for Temporal Validity. Partition-level ADO and compression are supported if partitioned on the end-time columns. Row-level policies for ADO are not supported for in-database archiving. Partition-level ADO and compression are supported if partitioned on the ORA_ARCHIVE_STATE column. Custom policies (user-defined functions) for ADO are not supported if the policies default at the tablespace level. ADO does not perform checks for storage space in a target tablespace when using storage tiering. ADO is not supported on tables with object types or materialized views. ADO concurrency (the number of simultaneous policy jobs for ADO) depends on the concurrency of the Oracle scheduler. If a policy job for ADO fails more than two times, then the job is marked disabled and the job must be manually enabled later. Policies for ADO are only run in the Oracle Scheduler maintenance windows. Outside of the maintenance windows all policies are stopped. The only exceptions are those jobs for rebuilding indexes in ADO offline mode. ADO has restrictions related to moving tables and table partitions. ??????row,segment???????????ADO??,?????create table?alter table?????? ????ADO??,??????????????,???????????????? storage tier , ?????????storage tier?????????, ??????????????ADO??????????? segment?row??group? ?CREATE TABLE?ALERT TABLE???ILM???,??????????????????ADO policy? ??ILM policy???????????????? ??????? ????ADO policy, ?????alter table  ???????,?????????????? CREATE TABLE sales_ado (PROD_ID NUMBER NOT NULL, CUST_ID NUMBER NOT NULL, TIME_ID DATE NOT NULL, CHANNEL_ID NUMBER NOT NULL, PROMO_ID NUMBER NOT NULL, QUANTITY_SOLD NUMBER(10,2) NOT NULL, AMOUNT_SOLD NUMBER(10,2) NOT NULL ) ILM ADD POLICY COMPRESS FOR ARCHIVE HIGH SEGMENT AFTER 6 MONTHS OF NO ACCESS; SQL> SELECT SUBSTR(policy_name,1,24) AS POLICY_NAME, policy_type, enabled 2 FROM USER_ILMPOLICIES; POLICY_NAME POLICY_TYPE ENABLED -------------------- -------------------------- -------------- P41 DATA MOVEMENT YES ALTER TABLE sales MODIFY PARTITION sales_1995 ILM ADD POLICY COMPRESS FOR ARCHIVE HIGH SEGMENT AFTER 6 MONTHS OF NO ACCESS; SELECT SUBSTR(policy_name,1,24) AS POLICY_NAME, policy_type, enabled FROM USER_ILMPOLICIES; POLICY_NAME POLICY_TYPE ENABLE ------------------------ ------------- ------ P1 DATA MOVEMENT YES P2 DATA MOVEMENT YES /* You can disable an ADO policy with the following */ ALTER TABLE sales_ado ILM DISABLE POLICY P1; /* You can delete an ADO policy with the following */ ALTER TABLE sales_ado ILM DELETE POLICY P1; /* You can disable all ADO policies with the following */ ALTER TABLE sales_ado ILM DISABLE_ALL; /* You can delete all ADO policies with the following */ ALTER TABLE sales_ado ILM DELETE_ALL; /* You can disable an ADO policy in a partition with the following */ ALTER TABLE sales MODIFY PARTITION sales_1995 ILM DISABLE POLICY P2; /* You can delete an ADO policy in a partition with the following */ ALTER TABLE sales MODIFY PARTITION sales_1995 ILM DELETE POLICY P2; ILM ???????: ?????ILM ADP????,???????: ?????? ???? activity tracking, ????2????????,???????????????????: SEGMENT-LEVEL???????????????????? ROW-LEVEL????????,??????? ????????: 1??????? SEGMENT-LEVEL activity tracking ALTER TABLE interval_sales ILM  ENABLE ACTIVITY TRACKING SEGMENT ACCESS ???????INTERVAL_SALES??segment level  activity tracking,?????????????????? 2? ??????????? ALTER TABLE emp ILM ENABLE ACTIVITY TRACKING (CREATE TIME , WRITE TIME); 3????????? ALTER TABLE emp ILM ENABLE ACTIVITY TRACKING  (READ TIME); ?12.1.0.1.0?????? ??HEAT_MAP??????????, ?????system??session?????heap_map????????????? ?????????HEAT MAP??,? ALTER SYSTEM SET HEAT_MAP = ON; ?HEAT MAP??????,??????????????????????????  ??SYSTEM?SYSAUX????????????? ???????HEAT MAP??: ALTER SYSTEM SET HEAT_MAP = OFF; ????? HEAT_MAP????, ?HEAT_MAP??? ?????????????????????? ?HEAT_MAP?????????Automatic Data Optimization (ADO)??? ??ADO??,Heat Map ?????????? ????V$HEAT_MAP_SEGMENT ??????? HEAT MAP?? SQL> select * from V$heat_map_segment; no rows selected SQL> alter session set heat_map=on; Session altered. SQL> select * from scott.emp; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ---------- ---------- --------- ---------- --------- ---------- ---------- ---------- 7369 SMITH CLERK 7902 17-DEC-80 800 20 7499 ALLEN SALESMAN 7698 20-FEB-81 1600 300 30 7521 WARD SALESMAN 7698 22-FEB-81 1250 500 30 7566 JONES MANAGER 7839 02-APR-81 2975 20 7654 MARTIN SALESMAN 7698 28-SEP-81 1250 1400 30 7698 BLAKE MANAGER 7839 01-MAY-81 2850 30 7782 CLARK MANAGER 7839 09-JUN-81 2450 10 7788 SCOTT ANALYST 7566 19-APR-87 3000 20 7839 KING PRESIDENT 17-NOV-81 5000 10 7844 TURNER SALESMAN 7698 08-SEP-81 1500 0 30 7876 ADAMS CLERK 7788 23-MAY-87 1100 20 7900 JAMES CLERK 7698 03-DEC-81 950 30 7902 FORD ANALYST 7566 03-DEC-81 3000 20 7934 MILLER CLERK 7782 23-JAN-82 1300 10 14 rows selected. SQL> select * from v$heat_map_segment; OBJECT_NAME SUBOBJECT_NAME OBJ# DATAOBJ# TRACK_TIM SEG SEG FUL LOO CON_ID -------------------- -------------------- ---------- ---------- --------- --- --- --- --- ---------- EMP 92997 92997 23-JUL-13 NO NO YES NO 0 ??v$heat_map_segment???,?v$heat_map_segment??????????????X$HEATMAPSEGMENT V$HEAT_MAP_SEGMENT displays real-time segment access information. Column Datatype Description OBJECT_NAME VARCHAR2(128) Name of the object SUBOBJECT_NAME VARCHAR2(128) Name of the subobject OBJ# NUMBER Object number DATAOBJ# NUMBER Data object number TRACK_TIME DATE Timestamp of current activity tracking SEGMENT_WRITE VARCHAR2(3) Indicates whether the segment has write access: (YES or NO) SEGMENT_READ VARCHAR2(3) Indicates whether the segment has read access: (YES or NO) FULL_SCAN VARCHAR2(3) Indicates whether the segment has full table scan: (YES or NO) LOOKUP_SCAN VARCHAR2(3) Indicates whether the segment has lookup scan: (YES or NO) CON_ID NUMBER The ID of the container to which the data pertains. Possible values include:   0: This value is used for rows containing data that pertain to the entire CDB. This value is also used for rows in non-CDBs. 1: This value is used for rows containing data that pertain to only the root n: Where n is the applicable container ID for the rows containing data The Heat Map feature is not supported in CDBs in Oracle Database 12c, so the value in this column can be ignored. ??HEAP MAP??????????????????,????DBA_HEAT_MAP_SEGMENT???????? ???????HEAT_MAP_STAT$?????? ??Automatic Data Optimization??????: ????1: SQL> alter system set heat_map=on; ?????? ????????????? scott?? http://www.askmaclean.com/archives/scott-schema-script.html SQL> grant all on dbms_lock to scott; ????? SQL> grant dba to scott; ????? @ilm_setup_basic C:\APP\XIANGBLI\ORADATA\MACLEAN\ilm.dbf @tktgilm_demo_env_setup SQL> connect scott/tiger ; ???? SQL> select count(*) from scott.employee; COUNT(*) ---------- 3072 ??? 1 ?? SQL> set serveroutput on SQL> exec print_compression_stats('SCOTT','EMPLOYEE'); Compression Stats ------------------ Uncmpressed : 3072 Adv/basic compressed : 0 Others : 0 PL/SQL ???????? ???????3072?????? ????????? ????policy ???????????? alter table employee ilm add policy row store compress advanced row after 3 days of no modification / SQL> set serveroutput on SQL> execute list_ilm_policies; -------------------------------------------------- Policies defined for SCOTT -------------------------------------------------- Object Name------ : EMPLOYEE Subobject Name--- : Object Type------ : TABLE Inherited from--- : POLICY NOT INHERITED Policy Name------ : P1 Action Type------ : COMPRESSION Scope------------ : ROW Compression level : ADVANCED Tier Tablespace-- : Condition type--- : LAST MODIFICATION TIME Condition days--- : 3 Enabled---------- : YES -------------------------------------------------- PL/SQL ???????? SQL> select sysdate from dual; SYSDATE -------------- 29-7? -13 SQL> execute set_back_chktime(get_policy_name('EMPLOYEE',null,'COMPRESSION','ROW','ADVANCED',3,null,null),'EMPLOYEE',null,6); Object check time reset ... -------------------------------------- Object Name : EMPLOYEE Object Number : 93123 D.Object Numbr : 93123 Policy Number : 1 Object chktime : 23-7? -13 08.13.42.000000 ?? Distnt chktime : 0 -------------------------------------- PL/SQL ???????? ?policy?chktime???6??, ????set_back_chktime???????????????“????”?,?????????,???????? ?????? alter system flush buffer_cache; alter system flush buffer_cache; alter system flush shared_pool; alter system flush shared_pool; SQL> execute set_window('MONDAY_WINDOW','OPEN'); Set Maint. Window OPEN ----------------------------- Window Name : MONDAY_WINDOW Enabled? : TRUE Active? : TRUE ----------------------------- PL/SQL ???????? SQL> exec dbms_lock.sleep(60) ; PL/SQL ???????? SQL> exec print_compression_stats('SCOTT', 'EMPLOYEE'); Compression Stats ------------------ Uncmpressed : 338 Adv/basic compressed : 2734 Others : 0 PL/SQL ???????? ??????????????? Adv/basic compressed : 2734 ??????? SQL> col object_name for a20 SQL> select object_id,object_name from dba_objects where object_name='EMPLOYEE'; OBJECT_ID OBJECT_NAME ---------- -------------------- 93123 EMPLOYEE SQL> execute list_ilm_policy_executions ; -------------------------------------------------- Policies execution details for SCOTT -------------------------------------------------- Policy Name------ : P22 Job Name--------- : ILMJOB48 Start time------- : 29-7? -13 08.37.45.061000 ?? End time--------- : 29-7? -13 08.37.48.629000 ?? ----------------- Object Name------ : EMPLOYEE Sub_obj Name----- : Obj Type--------- : TABLE ----------------- Exec-state------- : SELECTED FOR EXECUTION Job state-------- : COMPLETED SUCCESSFULLY Exec comments---- : Results comments- : --- -------------------------------------------------- PL/SQL ???????? ILMJOB48?????policy?JOB,?12.1.0.1??J00x???? ?MMON_SLAVE???M00x???15????????? select sample_time,program,module,action from v$active_session_history where action ='KDILM background EXEcution' order by sample_time; 29-7? -13 08.16.38.369000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.17.38.388000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.17.39.390000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.23.38.681000000 ?? ORACLE.EXE (M002) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.32.38.968000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.33.39.993000000 ?? ORACLE.EXE (M003) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.33.40.993000000 ?? ORACLE.EXE (M003) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.36.40.066000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.37.42.258000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.37.43.258000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.37.44.258000000 ?? ORACLE.EXE (M000) MMON_SLAVE KDILM background EXEcution 29-7? -13 08.38.42.386000000 ?? ORACLE.EXE (M001) MMON_SLAVE KDILM background EXEcution select distinct action from v$active_session_history where action like 'KDILM%' KDILM background CLeaNup KDILM background EXEcution SQL> execute set_window('MONDAY_WINDOW','CLOSE'); Set Maint. Window CLOSE ----------------------------- Window Name : MONDAY_WINDOW Enabled? : TRUE Active? : FALSE ----------------------------- PL/SQL ???????? SQL> drop table employee purge ; ????? ???? ????? spool ilm_usecase_1_cleanup.lst @ilm_demo_cleanup ; spool off

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  • ZFS/Btrfs/LVM2-like storage with advanced features on Linux?

    - by Easter Sunshine
    I have 3 identical internal 7200 RPM SATA hard disk drives on a Linux machine. I'm looking for a storage set-up that will give me all of this: Different data sets (filesystems or subtrees) can have different RAID levels so I can choose performance, space overhead, and risk trade-offs differently for different data sets while having a few number of physical disks (very important data can be 3xRAID1, important data can be 3xRAID5, unimportant reproducible data can be 3xRAID0). If each data set has an explicit size or size limit, then the ability to grow and shrink the size limit (offline if need be) Avoid out-of-kernel modules R/W or read-only COW snapshots. If it's a block-level snapshots, the filesystem should be synced and quiesced during a snapshot. Ability to add physical disks and then grow/redistribute RAID1, RAID5, and RAID0 volumes to take advantage of the new spindle and make sure no spindle is hotter than the rest (e.g., in NetApp, growing a RAID-DP raid group by a few disks will not balance the I/O across them without an explicit redistribution) Not required but nice-to-haves: Transparent compression, per-file or subtree. Even better if, like NetApps, analyzes the data first for compressibility and only compresses compressible data Deduplication that doesn't have huge performance penalties or require obscene amounts of memory (NetApp does scheduled deduplication on weekends, which is good) Resistance to silent data corruption like ZFS (this is not required because I have never seen ZFS report any data corruption on these specific disks) Storage tiering, either automatic (based on caching rules) or user-defined rules (yes, I have all-identical disks now but this will let me add a read/write SSD cache in the future). If it's user-defined rules, these rules should have the ability to promote to SSD on a file level and not a block level. Space-efficient packing of small files I tried ZFS on Linux but the limitations were: Upgrading is additional work because the package is in an external repository and is tied to specific kernel versions; it is not integrated with the package manager Write IOPS does not scale with number of devices in a raidz vdev. Cannot add disks to raidz vdevs Cannot have select data on RAID0 to reduce overhead and improve performance without additional physical disks or giving ZFS a single partition of the disks ext4 on LVM2 looks like an option except I can't tell whether I can shrink, extend, and redistribute onto new spindles RAID-type logical volumes (of course, I can experiment with LVM on a bunch of files). As far as I can tell, it doesn't have any of the nice-to-haves so I was wondering if there is something better out there. I did look at LVM dangers and caveats but then again, no system is perfect.

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  • Is it possible to map a network path to any cloud storage hosts?

    - by Frantumn
    I use Microsoft SkyDrive and Google Drive. I was wondering if it was possible to map to a folder on a cloud service via FTP or something similar? I don't see any obvious ways on Google, or SkyDrive web sites. I know they each have their custom applications to access the cloud storage files. But my network admins block traffic on those applications. So I was looking for another way to access the files (not through the web site either).

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  • Blob container creation exception ...

    - by Egon
    I get an exception every time I try to create a container for the blob using the following code blobStorageType = storageAccInfo.CreateCloudBlobClient(); ContBlob = blobStorageType.GetContainerReference(containerName); //everything fine till here ; next line creates an exception ContBlob.CreateIfNotExist(); Microsoft.WindowsAzure.StorageClient.StorageClientException was unhandled Message="One of the request inputs is out of range." Source="Microsoft.WindowsAzure.StorageClient" StackTrace: at Microsoft.WindowsAzure.StorageClient.Tasks.Task1.get_Result() at Microsoft.WindowsAzure.StorageClient.Tasks.Task1.ExecuteAndWait() at Microsoft.WindowsAzure.StorageClient.TaskImplHelper.ExecuteImplWithRetry[T](Func2 impl, RetryPolicy policy) at Microsoft.WindowsAzure.StorageClient.CloudBlobContainer.CreateIfNotExist(BlobRequestOptions options) at Microsoft.WindowsAzure.StorageClient.CloudBlobContainer.CreateIfNotExist() at WebRole1.BlobFun..ctor() in C:\Users\cloud\Documents\Visual Studio 2008\Projects\CloudBlob\WebRole1\BlobFun.cs:line 58 at WebRole1.BlobFun.calling1() in C:\Users\cloud\Documents\Visual Studio 2008\Projects\CloudBlob\WebRole1\BlobFun.cs:line 29 at AzureBlobTester.Program.Main(String[] args) in C:\Users\cloud\Documents\Visual Studio 2008\Projects\CloudBlob\AzureBlobTester\Program.cs:line 19 at System.AppDomain._nExecuteAssembly(Assembly assembly, String[] args) at System.AppDomain.ExecuteAssembly(String assemblyFile, Evidence assemblySecurity, String[] args) at Microsoft.VisualStudio.HostingProcess.HostProc.RunUsersAssembly() at System.Threading.ThreadHelper.ThreadStart_Context(Object state) at System.Threading.ExecutionContext.Run(ExecutionContext executionContext, ContextCallback callback, Object state) at System.Threading.ThreadHelper.ThreadStart() InnerException: System.Net.WebException Message="The remote server returned an error: (400) Bad Request." Source="System" StackTrace: at System.Net.HttpWebRequest.EndGetResponse(IAsyncResult asyncResult) at Microsoft.WindowsAzure.StorageClient.EventHelper.ProcessWebResponse(WebRequest req, IAsyncResult asyncResult, EventHandler1 handler, Object sender) InnerException: Do you guys knw what is it that I am doing wrong ?

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  • SQL SERVER – Advanced Data Quality Services with Melissa Data – Azure Data Market

    - by pinaldave
    There has been much fanfare over the new SQL Server 2012, and especially around its new companion product Data Quality Services (DQS). Among the many new features is the addition of this integrated knowledge-driven product that enables data stewards everywhere to profile, match, and cleanse data. In addition to the homegrown rules that data stewards can design and implement, there are also connectors to third party providers that are hosted in the Azure Datamarket marketplace.  In this review, I leverage SQL Server 2012 Data Quality Services, and proceed to subscribe to a third party data cleansing product through the Datamarket to showcase this unique capability. Crucial Questions For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? And if my address is not correct, what should it be corrected to? The answer lies in a third party knowledge base by the acknowledged USPS certified address accuracy experts at Melissa Data. Reference Data Services Within DQS there is a handy feature to actually add reference data from many different third-party Reference Data Services (RDS) vendors. DQS simplifies the processes of cleansing, standardizing, and enriching data through custom rules and through service providers from the Azure Datamarket. A quick jump over to the Datamarket site shows me that there are a handful of providers that offer data directly through Data Quality Services. Upon subscribing to these services, one can attach a DQS domain or composite domain (fields in a record) to a reference data service provider, and begin using it to cleanse, standardize, and enrich that data. Besides what I am looking for (address correction and enrichment), it is possible to subscribe to a host of other services including geocoding, IP address reference, phone checking and enrichment, as well as name parsing, standardization, and genderization.  These capabilities extend the data quality that DQS has natively by quite a bit. For my current address correction review, I needed to first sign up to a reference data provider on the Azure Data Market site. For this example, I used Melissa Data’s Address Check Service. They offer free one-month trials, so if you wish to follow along, or need to add address quality to your own data, I encourage you to sign up with them. Once I subscribed to the desired Reference Data Provider, I navigated my browser to the Account Keys within My Account to view the generated account key, which I then inserted into the DQS Client – Configuration under the Administration area. Step by Step to Guide That was all it took to hook in the subscribed provider -Melissa Data- directly to my DQS Client. The next step was for me to attach and map in my Reference Data from the newly acquired reference data provider, to a domain in my knowledge base. On the DQS Client home screen, I selected “New Knowledge Base” under Knowledge Base Management on the left-hand side of the home screen. Under New Knowledge Base, I typed a Name and description of my new knowledge base, then proceeded to the Domain Management screen. Here I established a series of domains (fields) and then linked them all together as a composite domain (record set). Using the Create Domain button, I created the following domains according to the fields in my incoming data: Name Address Suite City State Zip I added a Suite column in my domain because Melissa Data has the ability to return missing Suites based on last name or company. And that’s a great benefit of using these third party providers, as they have data that the data steward would not normally have access to. The bottom line is, with these third party data providers, I can actually improve my data. Next, I created a composite domain (fulladdress) and added the (field) domains into the composite domain. This essentially groups our address fields together in a record to facilitate the full address cleansing they perform. I then selected my newly created composite domain and under the Reference Data tab, added my third party reference data provider –Melissa Data’s Address Check- and mapped in each domain that I had to the provider’s Schema. Now that my composite domain has been married to the Reference Data service, I can take the newly published knowledge base and create a project to cleanse and enrich my data. My next task was to create a new Data Quality project, mapping in my data source and matching it to the appropriate domain column, and then kick off the verification process. It took just a few minutes with some progress indicators indicating that it was working. When the process concluded, there was a helpful set of tabs that place the response records into categories: suggested; new; invalid; corrected (automatically); and correct. Accepting the suggestions provided by  Melissa Data allowed me to clean up all the records and flag the invalid ones. It is very apparent that DQS makes address data quality simplistic for any IT professional. Final Note As I have shown, DQS makes data quality very easy. Within minutes I was able to set up a data cleansing and enrichment routine within my data quality project, and ensure that my address data was clean, verified, and standardized against real reference data. As reviewed here, it’s easy to see how both SQL Server 2012 and DQS work to take what used to require a highly skilled developer, and empower an average business or database person to consume external services and clean data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology Tagged: DQS

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  • Writing an ASP.Net Web based TFS Client

    - by Glav
    So one of the things I needed to do was write an ASP.Net MVC based application for our senior execs to manage a set of arbitrary attributes against stories, bugs etc to be able to attribute whether the item was related to Research and Development, and if so, what kind. We are using TFS Azure and don’t have the option of custom templates. I have decided on using a string based field within the template that is not very visible and which we don’t use to write a small set of custom which will determine the research and development association. However, this string munging on the field is not very user friendly so we need a simple tool that can display attributes against items in a simple dropdown list or something similar. Enter a custom web app that accesses our TFS items in Azure (Note: We are also using Visual Studio 2012) Now TFS Azure uses your Live ID and it is not really possible to easily do this in a server based app where no interaction is available. Even if you capture the Live ID credentials yourself and try to submit them to TFS Azure, it wont work. Bottom line is that it is not straightforward nor obvious what you have to do. In fact, it is a real pain to find and there are some answers out there which don’t appear to be answers at all given they didn’t work in my scenario. So for anyone else who wants to do this, here is a simple breakdown on what you have to do: Go here and get the “TFS Service Credential Viewer”. Install it, run it and connect to your TFS instance in azure and create a service account. Note the username and password exactly as it presents it to you. This is the magic identity that will allow unattended, programmatic access. Without this step, don’t bother trying to do anything else. In your MVC app, reference the following assemblies from “C:\Program Files (x86)\Microsoft Visual Studio 11.0\Common7\IDE\ReferenceAssemblies\v2.0”: Microsoft.TeamFoundation.Client.dll Microsoft.TeamFoundation.Common.dll Microsoft.TeamFoundation.VersionControl.Client.dll Microsoft.TeamFoundation.VersionControl.Common.dll Microsoft.TeamFoundation.WorkItemTracking.Client.DataStoreLoader.dll Microsoft.TeamFoundation.WorkItemTracking.Client.dll Microsoft.TeamFoundation.WorkItemTracking.Common.dll If hosting this in Internet Information Server, for the application pool this app runs under, you will need to enable 32 Bit support. You also have to allow the TFS client assemblies to store a cache of files on your system. If you don’t do this, you will authenticate fine, but then get an exception saying that it is unable to access the cache at some directory path when you query work items. You can set this up by adding the following to your web.config, in the <appSettings> element as shown below: <appSettings> <!-- Add reference to TFS Client Cache --> <add key="WorkItemTrackingCacheRoot" value="C:\windows\temp" /> </appSettings> With all that in place, you can write the following code: var token = new Microsoft.TeamFoundation.Client.SimpleWebTokenCredential("{you-service-account-name", "{your-service-acct-password}"); var clientCreds = new Microsoft.TeamFoundation.Client.TfsClientCredentials(token); var currentCollection = new TfsTeamProjectCollection(new Uri(“https://{yourdomain}.visualstudio.com/defaultcollection”), clientCreds); TfsConfigurationServercurrentCollection.EnsureAuthenticated(); In the above code, not the URL contains the “defaultcollection” at the end of the URL. Obviously replace {yourdomain} with whatever is defined for your TFS in Azure instance. In addition, make sure the service user account and password that was generated in the first step is substituted in here. Note: If something is not right, the “EnsureAuthenticated()” call will throw an exception with the message being you are not authorised. If you forget the “defaultcollection” on the URL, it will still fail but with a message saying you are not authorised. That is, a similar but different exception message. And that is it. You can then query the collection using something like: var service = currentCollection.GetService<WorkItemStore>(); var proj = service.Projects[0]; var allQueries = proj.StoredQueries; for (int qcnt = 0; qcnt < allQueries.Count; qcnt++) {     var query = allQueries[qcnt];     var queryDesc = string.format(“Query found named: {0}”,query.Name); } You get the idea. If you search around, you will find references to the ServiceIdentityCredentialProvider which is referenced in this article. I had no luck with this method and it all looked too hard since it required an extra KB article and other magic sauce. So I hope that helps. This article certainly would have helped me save a boat load of time and frustration.

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  • Great opportunity to try Windows Azure over the next 7 days if you are a UK developer &ndash; act to

    - by Eric Nelson
    Are you a UK based developer who has been put off from trying out the Windows Azure Platform? Were you concerned that you needed to hand over credit card details even to use the introductory offer? Or concerned about how many charges you might run up as you played with “elastic computing”. Then we might have just what you need. 7 Days of access to the Windows Azure Platform – for FREE (expires June 6th 2010) If you are accepted, you will be given a Windows Azure Platfom subscription that will enable you to create Windows Azure hosted services and storage accounts, SQL Azure databases and AppFabric services without any fear of being charged between now and Sunday the 6th of June 2010. No credit card is required. Important: At the end of Sunday your subscription and all your code and data you have uploaded will be deleted. It is your responsibility to keep local copies of your code and data. Apply now To apply for this offer you need to: email ukdev AT microsoft.com with a subject line that starts “UKAZURETRAIL:” (This must  be present) In the email you need to demonstrate you are UK based (.uk email alias or address or… be creative) And you must include 30 to 100 words explaining What your interest is in the Windows Azure Platform and Cloud Computing What you would use the 7 days to explore Some notes (please read!): We have a limited number of these offers to give away on a first come, first served basis (subject to meeting the above criteria). We plan to process all request asap – but there is a UK bank holiday weekend looming. We will do our best to process all by Tues afternoon (which would still give you 5 days of access) There will be no specific support for this offer. We will not be processing any requests that arrive after Tuesday 1st. In case you were wondering, there is no equivalent offer for developer outside of the UK. This offer is a direct result of UK based training we are currently doing which has some spare Azure capacity which we wanted to make best use of. Sorry in advance if you based outside of the UK. Related Links: If you are UK based, you should also join the UK Windows Azure Platform community http://ukazure.ning.com Microsoft UK Windows Azure Platform page

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  • Sweden Azure Group with Michele Laroux Bustamente &amp; Maartin Balliauw Thursday 22nd May

    - by Alan Smith
    Originally posted on: http://geekswithblogs.net/asmith/archive/2014/05/19/156418.aspxSweden Azure Group (SWAG) has the privilege of welcoming Michele Laroux Bustamente and Maartin Balliauw to present sessions at our meeting this Thursday. Michele and Maartin are two of the world’s leading experts in Cloud Computing and Azure, and will be taking time out from their busy schedules to share their ideas with us, and answer any questions. Knowit Stockholm are kindly hosting the event at their offices, and providing food and refreshments. It should be a great evening. You can register for the event here. Azure Q & A - Michele Leroux Bustamante In this interactive Q & A session Michele Leroux Bustamante will be on hand to share her wealth of experience on Azure related issues. If you are new to Azure and wanting some tips to get started, or an experienced developer needing to negotiate the legal and political protocols related to Cloud Computing Michele will have been there, done that, and be willing to share her experiences. This session will be entirely driven by that attendees, so please come prepared with questions. Reducing latency on the web with the Windows Azure CDN – Maarten Balliauw Serving up content on the Internet is something our web sites do daily. But are we doing this in the fastest way possible? How are users in faraway countries experiencing our apps? Why do we have three webservers serving the same content over and over again? In this session, we’ll explore the Windows Azure Content Delivery Network or CDN, a service which makes it easy to serve up blobs, videos and other content from servers close to our users. We’ll explore simple file serving as well as some more advanced, dynamic edge caching scenarios. Michele Leroux Bustamante Michele Leroux Bustamante is CIO at Solliance (solliance.net), cofounder of Snapboard (snapboard.com), and is recognized as a Microsoft Regional Director and MVP. Michele is a thought leader with over 20 years specializing in building scalable and secure end-to-end system design, identity and access management, and cloud computing technologies – for companies of all sizes. In recent years Michele has also helped launch several startup business ventures and has been a mentor to startups in several accelerator programs – providing both technical and business guidance. Michele shares her experiences through presentations and keynotes all over the world, and has been publishing regularly in technology journals. Maarten Balliauw Maarten Balliauw is a Technical Evangelist at JetBrains. His interests are all web: ASP.NET MVC, PHP and Windows Azure. He’s a Microsoft Most Valuable Professional (MVP) for Azure and an ASPInsider. He has published many articles in both PHP and .NET literature such as MSDN magazine and PHP architect. Maarten is a frequent speaker at various national and international events such as MIX (Las Vegas), TechDays, DPC, …

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  • Q&amp;A: Does it make sense to run a personal blog on the Windows Azure Platform?

    - by Eric Nelson
    I keep seeing people wanting to do this (or something very similar) and then being surprised at how much it might cost them if they went with Windows Azure. Time for a Q&A. Short answer: No, definitely not. Madness, sheer madness. (Hopefully that was clear enough) Longer answer: No because It would cost you a heck of a lot more than just about any other approach to running a blog. A site that can easily be run on a shared hosting solution (as many blogs do today) does not require the rich capabilities of Windows Azure. Capabilities such as simplified deployed and management, dedicated resources, elastic resources, “unlimited” storage etc. It is simply not the type of application the Windows Azure Platform has been designed for. Related Links: Q&A- How can I calculate the TCO and ROI when considering the Windows Azure Platform? Q&A- When do I get charged for compute hours on Windows Azure? Q&A- What are the UK prices for the Windows Azure Platform

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