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• CodePlex Daily Summary for Tuesday, December 28, 2010

  CodePlex Daily Summary for Tuesday, December 28, 2010Popular ReleasesMonitorWang: MonitorWang v1.0.5 (Growler): What's new?Added Growl Notification Finalisers - these are interceptor components that work exclusively with the Growl Publisher. These allow you to modify the Growl Notification just prior to it being sent by the publisher. You can inject custom logic to precisely control how the Growl Notification will appear; this includes changing the Growl Priority level and message text. I've created to two Growl Notification Finalisers - one allows you to change the Growl Notification Priorty based on ...Catel - WPF and Silverlight MVVM library: 1.0.0: And there it is, the final release of Catel, and it is no longer a beta version!Multicore Task Framework: MTF 1.0.2: Release 1.0.2 of Multicore Task Framework.EnhSim: EnhSim 2.2.7 ALPHA: 2.2.7 ALPHAThis release supports WoW patch 4.03a at level 85 To use this release, you must have the Microsoft Visual C++ 2010 Redistributable Package installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=A7B7A05E-6DE6-4D3A-A423-37BF0912DB84 To use the GUI you must have the .NET 4.0 Framework installed. This can be downloaded from http://www.microsoft.com/downloads/en/details.aspx?FamilyID=9cfb2d51-5ff4-4491-b0e5-b386f32c0992 - Mongoose has bee...LINQ to Twitter: LINQ to Twitter Beta v2.0.19: Mono 2.8, Silverlight, OAuth, 100% Twitter API coverage, streaming, extensibility via Raw Queries, and added documentation. Bug fixes.Hammock for REST: Hammock v1.1.4: v1.1.4 ChangesOAuth fixes for post content handling, encoding, and url parameter doubling v1.1.3 ChangesAdded an event handler for use with retries Made improvements to OAuth for performance, plus additional fixes Added OAuth token refresh support Fixed memory leak in content streaming, and regression issue with async GET call response handling v1.1.2 ChangesAdded OAuth Echo native support and static helper methods on OAuthCredentials Fixes for multi-part stream writing and recovery...Rocket Framework (.Net 4.0): Rocket Framework for Windows V 1.0.0: Architecture is reviewed and adjusted in a way so that I can introduce the Web version and WPF version of this framework next. - Rocket.Core is introduced - Controller button functions revisited and updated - DB is renewed to suite the implemented features - Create New button functionality is changed - Add Question Handling featuresFxCop Integrator for Visual Studio 2010: FxCop Integrtor 1.1.0: New FeatureSearch violation information FxCop Integrator provides the violation search feature. You can find out specific violation information by simple search expression.Analyze with FxCop project file FxCop Integrator supports code analysis with FxCop project file. You can customize code analysis behavior (e.g. analyze specifid types only, use specific rules only, and so on). ImprovementImproved the code analysis result list to show more information (added Proejct and File column). Change...NoSimplerAccounting: NoSimplerAccounting 6.0: -Fixed a bug in expense category report.NHibernate Mapping Generator: NHibernate Mapping Generator 2.0: Added support for Postgres (Thanks to Angelo)NewLife XCode: XCode v6.5.2010.1223 ????（????v3.5??）: XCode v6.5.2010.1223 ????，??： NewLife.Core ??? NewLife.Net ??? XControl ??? XTemplate ????，??C#?????? XAgent ???? NewLife.CommonEnitty ??????（???，XCode??????） XCode?? ?????????，??????????????????，?????95% XCode v3.5.2009.0714 ??，?v3.5?v6.0???????????????，?????????。v3.5???????????，??????????????。 XCoder ??XTemplate?????????，????????XCode??? XCoder_Src ???????（????XTemplate????），??????????????????MiniTwitter: 1.64: MiniTwitter 1.64 ???? ?? 1.63 ??? URL ??????????????VivoSocial: VivoSocial 7.4.0: Please see changes: http://support.vivoware.com/project/ChangeLog.aspx?PROJID=48Umbraco CMS: Umbraco 4.6 Beta - codename JUNO: The Umbraco 4.6 beta (codename JUNO) release contains many new features focusing on an improved installation experience, a number of robust developer features, and contains more than 89 bug fixes since the 4.5.2 release. Improved installer experience Updated Starter Kits (Simple, Blog, Personal, Business) Beautiful, free, customizable skins included Skinning engine and Skin customization (see Skinning Documentation Kit) Default dashboards on install with hide option Updated Login t...SSH.NET Library: 2010.12.23: This release includes some bug fixes and few new fetures. Fixes Allow to retrieve big directory structures ssh-dss algorithm is fixed Populate sftp file attributes New Features Support for passhrase when private key is used Support added for diffie-hellman-group14-sha1,diffie-hellman-group-exchange-sha256 and diffie-hellman-group-exchange-sha1 key exchange algorithms Allow to provide multiple key files for authentication Add support for "keyboard-interactive" authentication method...ASP.NET MVC SiteMap provider: MvcSiteMapProvider 2.3.0: Using NuGet?MvcSiteMapProvider is also listed in the NuGet feed. Learn more... Like the project? Consider a donation!Donate via PayPal via PayPal. Release notesThis will be the last release targeting ASP.NET MVC 2 and .NET 3.5. MvcSiteMapProvider 3.0.0 will be targeting ASP.NET MVC 3 and .NET 4 Web.config setting skipAssemblyScanOn has been deprecated in favor of excludeAssembliesForScan and includeAssembliesForScan ISiteMapNodeUrlResolver is now completely responsible for generating th...Media Companion: Media Companion 3.400: Extract the entire archive to a folder which has user access rights, eg desktop, documents etc. A manual is included to get you startedWindows Media Player GNTP Plugin: WMP-GNTP v1.0.5: This is the installer for WMP-GNTP. Install it to get the plugin on your system.Google Geo Kit: Static Google Map WinForm Control Nightly Build: 12/22/2010 MD5sum - b8118c9970d6dc9480fe7c41f042537f add event OnGMapNotDefined. When anything went wrong in StaticGmap internally and return null stream, this event will be firedSilverlight Sockets Sample: No binaries: Whole source code in a ZIP. Shame 'Source Code' tab isn't working, so I'll just upload a ZIP.New ProjectsAsfMojo: AsfMojo is an open source .NET ASF parsing library, providing support for parsing WMA audio and WMV video files. It offers classes to create streams from packet data within a media file, gather file statistics and extract audio segments or frame accurate still frames.asp.net ajax file manager: Features : Full Ajax Support security View Image Create folder Delete file & folder Copy file & folder Move file & folder multiple selection ( Ctrl + Select ) Easy installation and configuration Open source. compatible IE7,IE8,FF,Safari,Chrome http://www.filemanager.3ntar.netBoxNet: BoxNet is a opensource library which will provide possibility for Windows Phone 7 developers to integrate with DropBox.C# Sqlite For WP7: C# Sqlite Port for Windows phone 7 and possibly Silverlight 3, 4. The core engine was slightly modified to be used with IsolatedStorage and SqliteClient were ported by using missing codes from Mono project in order to maximize usability and portability from desktop.Comparison of Managed Compression Algorithms: Visual Studio 2010 Console Test Harness with samples of MiniLZO, QuickLz, SharpZipLib, iRolz and other managed compression classes. Tests compression of a 2MB Word file and shows timings. Useful in deciding what type of compression to use. Developers can easily add their own.Cypher Bot 2011: Cypher Bot 2011 Brings the word cipher to a whole new level. You can now easily open, save, print, and send ciphers. Make a short message or completly encrypt a document. The cipher is impossible to figure out unless you have the keyword and algorithm to solve it! Try it out!Directed Graph for .NET: This project presents a simple directed graph implementation for the .NET framework using C# language.DynamicAccess: DynamicAccess is a library to aid connecting DLR languages such as ironpython and ironruby to non-dynamic languages like managed C++. It also fills in some gaps in the current C# support of dynamic objects, such as member access by string and deletion of members or indexes.Euro for Windows XP: A simple tool and sample to change Estonian currency from Estonian Krone (kr) to Euro (€). Applies to all versions of Windows and from .NET 2.0 which is default build. The sample creates a custom locale and updates existing users through Registry.Excel PowerShell Console: An Excel AddIn to enable using PowerShell for Excel automation.fantastic: fantasticGomarket Toolbar: GoMarket FireFox toolbarjs: jsLiving Agile's Common Framework: This project is a collection of commonly used routines here at Living Agile. There are a lot of helpful extension methods, logging, configuration and threading utilities. All other Living Agile projects have a dependency on this project.MapWindow 4: MapWindow4 is a free windows GIS application and uses an ActiveX control at it's core that can be embedded into many applications that don't support .Net such as excel, access, visual basic 6, or other pre-.Net languages.Mdelete API: Delete all files and directores in windows shell. Support long path (less then 32000 chars) and network path (eg. \\server\share or \\127.0.0.1\share)OP-Code SyntaxEditor: OP-Code SyntaxEditor is a Windows Forms Control, similar to a multi-line TextBox, which syntax highlights text and provides some features for code editing.passion: passionSharpHighlighter: SharpHighlighter is an extension for Visual Studio; a fairly simple code highlighter for C# I made it for anyone who wants to download and learn how to create is own parser or Syntax Highlighter. This sample will highlight only C# classes and structs but it's quite extensible.Test Center Locator: Test center locator makes it easier to find closest toefl or Ielts test center

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• C#/.NET Little Wonders: Constraining Generics with Where Clause

  - by James Michael Hare

  Back when I was primarily a C++ developer, I loved C++ templates.  The power of writing very reusable generic classes brought the art of programming to a brand new level.  Unfortunately, when .NET 1.0 came about, they didn’t have a template equivalent.  With .NET 2.0 however, we finally got generics, which once again let us spread our wings and program more generically in the world of .NET However, C# generics behave in some ways very differently from their C++ template cousins.  There is a handy clause, however, that helps you navigate these waters to make your generics more powerful. The Problem – C# Assumes Lowest Common Denominator In C++, you can create a template and do nearly anything syntactically possible on the template parameter, and C++ will not check if the method/fields/operations invoked are valid until you declare a realization of the type.  Let me illustrate with a C++ example: 1: // compiles fine, C++ makes no assumptions as to T 2: template <typename T> 3: class ReverseComparer 4: { 5: public: 6: int Compare(const T& lhs, const T& rhs) 7: { 8: return rhs.CompareTo(lhs); 9: } 10: }; Notice that we are invoking a method CompareTo() off of template type T.  Because we don’t know at this point what type T is, C++ makes no assumptions and there are no errors. C++ tends to take the path of not checking the template type usage until the method is actually invoked with a specific type, which differs from the behavior of C#: 1: // this will NOT compile! C# assumes lowest common denominator. 2: public class ReverseComparer<T> 3: { 4: public int Compare(T lhs, T rhs) 5: { 6: return lhs.CompareTo(rhs); 7: } 8: } So why does C# give us a compiler error even when we don’t yet know what type T is?  This is because C# took a different path in how they made generics.  Unless you specify otherwise, for the purposes of the code inside the generic method, T is basically treated like an object (notice I didn’t say T is an object). That means that any operations, fields, methods, properties, etc that you attempt to use of type T must be available at the lowest common denominator type: object.  Now, while object has the broadest applicability, it also has the fewest specific.  So how do we allow our generic type placeholder to do things more than just what object can do? Solution: Constraint the Type With Where Clause So how do we get around this in C#?  The answer is to constrain the generic type placeholder with the where clause.  Basically, the where clause allows you to specify additional constraints on what the actual type used to fill the generic type placeholder must support. You might think that narrowing the scope of a generic means a weaker generic.  In reality, though it limits the number of types that can be used with the generic, it also gives the generic more power to deal with those types.  In effect these constraints says that if the type meets the given constraint, you can perform the activities that pertain to that constraint with the generic placeholders. Constraining Generic Type to Interface or Superclass One of the handiest where clause constraints is the ability to specify the type generic type must implement a certain interface or be inherited from a certain base class. For example, you can’t call CompareTo() in our first C# generic without constraints, but if we constrain T to IComparable<T>, we can: 1: public class ReverseComparer<T> 2: where T : IComparable<T> 3: { 4: public int Compare(T lhs, T rhs) 5: { 6: return lhs.CompareTo(rhs); 7: } 8: } Now that we’ve constrained T to an implementation of IComparable<T>, this means that our variables of generic type T may now call any members specified in IComparable<T> as well.  This means that the call to CompareTo() is now legal. If you constrain your type, also, you will get compiler warnings if you attempt to use a type that doesn’t meet the constraint.  This is much better than the syntax error you would get within C++ template code itself when you used a type not supported by a C++ template. Constraining Generic Type to Only Reference Types Sometimes, you want to assign an instance of a generic type to null, but you can’t do this without constraints, because you have no guarantee that the type used to realize the generic is not a value type, where null is meaningless. Well, we can fix this by specifying the class constraint in the where clause.  By declaring that a generic type must be a class, we are saying that it is a reference type, and this allows us to assign null to instances of that type: 1: public static class ObjectExtensions 2: { 3: public static TOut Maybe<TIn, TOut>(this TIn value, Func<TIn, TOut> accessor) 4: where TOut : class 5: where TIn : class 6: { 7: return (value != null) ? accessor(value) : null; 8: } 9: } In the example above, we want to be able to access a property off of a reference, and if that reference is null, pass the null on down the line.  To do this, both the input type and the output type must be reference types (yes, nullable value types could also be considered applicable at a logical level, but there’s not a direct constraint for those). Constraining Generic Type to only Value Types Similarly to constraining a generic type to be a reference type, you can also constrain a generic type to be a value type.  To do this you use the struct constraint which specifies that the generic type must be a value type (primitive, struct, enum, etc). Consider the following method, that will convert anything that is IConvertible (int, double, string, etc) to the value type you specify, or null if the instance is null. 1: public static T? ConvertToNullable<T>(IConvertible value) 2: where T : struct 3: { 4: T? result = null; 5:  6: if (value != null) 7: { 8: result = (T)Convert.ChangeType(value, typeof(T)); 9: } 10:  11: return result; 12: } Because T was constrained to be a value type, we can use T? (System.Nullable<T>) where we could not do this if T was a reference type. Constraining Generic Type to Require Default Constructor You can also constrain a type to require existence of a default constructor.  Because by default C# doesn’t know what constructors a generic type placeholder does or does not have available, it can’t typically allow you to call one.  That said, if you give it the new() constraint, it will mean that the type used to realize the generic type must have a default (no argument) constructor. Let’s assume you have a generic adapter class that, given some mappings, will adapt an item from type TFrom to type TTo.  Because it must create a new instance of type TTo in the process, we need to specify that TTo has a default constructor: 1: // Given a set of Action<TFrom,TTo> mappings will map TFrom to TTo 2: public class Adapter<TFrom, TTo> : IEnumerable<Action<TFrom, TTo>> 3: where TTo : class, new() 4: { 5: // The list of translations from TFrom to TTo 6: public List<Action<TFrom, TTo>> Translations { get; private set; } 7:  8: // Construct with empty translation and reverse translation sets. 9: public Adapter() 10: { 11: // did this instead of auto-properties to allow simple use of initializers 12: Translations = new List<Action<TFrom, TTo>>(); 13: } 14:  15: // Add a translator to the collection, useful for initializer list 16: public void Add(Action<TFrom, TTo> translation) 17: { 18: Translations.Add(translation); 19: } 20:  21: // Add a translator that first checks a predicate to determine if the translation 22: // should be performed, then translates if the predicate returns true 23: public void Add(Predicate<TFrom> conditional, Action<TFrom, TTo> translation) 24: { 25: Translations.Add((from, to) => 26: { 27: if (conditional(from)) 28: { 29: translation(from, to); 30: } 31: }); 32: } 33:  34: // Translates an object forward from TFrom object to TTo object. 35: public TTo Adapt(TFrom sourceObject) 36: { 37: var resultObject = new TTo(); 38:  39: // Process each translation 40: Translations.ForEach(t => t(sourceObject, resultObject)); 41:  42: return resultObject; 43: } 44:  45: // Returns an enumerator that iterates through the collection. 46: public IEnumerator<Action<TFrom, TTo>> GetEnumerator() 47: { 48: return Translations.GetEnumerator(); 49: } 50:  51: // Returns an enumerator that iterates through a collection. 52: IEnumerator IEnumerable.GetEnumerator() 53: { 54: return GetEnumerator(); 55: } 56: } Notice, however, you can’t specify any other constructor, you can only specify that the type has a default (no argument) constructor. Summary The where clause is an excellent tool that gives your .NET generics even more power to perform tasks higher than just the base "object level" behavior.  There are a few things you cannot specify with constraints (currently) though: Cannot specify the generic type must be an enum. Cannot specify the generic type must have a certain property or method without specifying a base class or interface – that is, you can’t say that the generic must have a Start() method. Cannot specify that the generic type allows arithmetic operations. Cannot specify that the generic type requires a specific non-default constructor. In addition, you cannot overload a template definition with different, opposing constraints.  For example you can’t define a Adapter<T> where T : struct and Adapter<T> where T : class.  Hopefully, in the future we will get some of these things to make the where clause even more useful, but until then what we have is extremely valuable in making our generics more user friendly and more powerful!   Technorati Tags: C#,.NET,Little Wonders,BlackRabbitCoder,where,generics

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• External File Upload Optimizations for Windows Azure

  - by rgillen

  [Cross posted from here: http://rob.gillenfamily.net/post/External-File-Upload-Optimizations-for-Windows-Azure.aspx] I’m wrapping up a bit of the work we’ve been doing on data movement optimizations for cloud computing and the latest set of data yielded some interesting points I thought I’d share. The work done here is not really rocket science but may, in some ways, be slightly counter-intuitive and therefore seemed worthy of posting. Summary: for those who don’t like to read detailed posts or don’t have time, the synopsis is that if you are uploading data to Azure, block your data (even down to 1MB) and upload in parallel. Set your block size based on your source file size, but if you must choose a fixed value, use 1MB. Following the above will result in significant performance gains… upwards of 10x-24x and a reduction in overall file transfer time of upwards of 90% (eg, uploading a 1GB file averaged 46.37 minutes prior to optimizations and averaged 1.86 minutes afterwards). Detail: For those of you who want more detail, or think that the claims at the end of the preceding paragraph are over-reaching, what follows is information and code supporting these claims. As the title would indicate, these tests were run from our research facility pointing to the Azure cloud (specifically US North Central as it is physically closest to us) and do not represent intra-cloud results… we have performed intra-cloud tests and the overall results are similar in notion but the data rates are significantly different as well as the tipping points for the various block sizes… this will be detailed separately). We started by building a very simple console application that would loop through a directory and upload each file to Azure storage. This application used the shipping storage client library from the 1.1 version of the azure tools. The only real variation from the client library is that we added code to collect and record the duration (in ms) and size (in bytes) for each file transferred. The code is available here. We then created a directory that had a collection of files for the following sizes: 2KB, 32KB, 64KB, 128KB, 512KB, 1MB, 5MB, 10MB, 25MB, 50MB, 100MB, 250MB, 500MB, 750MB, and 1GB (50 files for each size listed). These files contained randomly-generated binary data and do not benefit from compression (a separate discussion topic). Our file generation tool is available here. The baseline was established by running the application described above against the directory containing all of the data files. This application uploads the files in a random order so as to avoid transferring all of the files of a given size sequentially and thereby spreading the affects of periodic Internet delays across the collection of results.  We then ran some scripts to split the resulting data and generate some reports. The raw data collected for our non-optimized tests is available via the links in the Related Resources section at the bottom of this post. For each file size, we calculated the average upload time (and standard deviation) and the average transfer rate (and standard deviation). As you likely are aware, transferring data across the Internet is susceptible to many transient delays which can cause anomalies in the resulting data. It is for this reason that we randomized the order of source file processing as well as executed the tests 50x for each file size. We expect that these steps will yield a sufficiently balanced set of results. Once the baseline was collected and analyzed, we updated the test harness application with some methods to split the source file into user-defined block sizes and then to upload those blocks in parallel (using the PutBlock() method of Azure storage). The parallelization was handled by simply relying on the Parallel Extensions to .NET to provide a Parallel.For loop (see linked source for specific implementation details in Program.cs, line 173 and following… less than 100 lines total). Once all of the blocks were uploaded, we called PutBlockList() to assemble/commit the file in Azure storage. For each block transferred, the MD5 was calculated and sent ensuring that the bits that arrived matched was was intended. The timer for the blocked/parallelized transfer method wraps the entire process (source file splitting, block transfer, MD5 validation, file committal). A diagram of the process is as follows: We then tested the affects of blocking & parallelizing the transfers by running the updated application against the same source set and did a parameter sweep on the block size including 256KB, 512KB, 1MB, 2MB, and 4MB (our assumption was that anything lower than 256KB wasn’t worth the trouble and 4MB is the maximum size of a block supported by Azure). The raw data for the parallel tests is available via the links in the Related Resources section at the bottom of this post. This data was processed and then compared against the single-threaded / non-optimized transfer numbers and the results were encouraging. The Excel version of the results is available here. Two semi-obvious points need to be made prior to reviewing the data. The first is that if the block size is larger than the source file size you will end up with a “negative optimization” due to the overhead of attempting to block and parallelize. The second is that as the files get smaller, the clock-time cost of blocking and parallelizing (overhead) is more apparent and can tend towards negative optimizations. For this reason (and is supported in the raw data provided in the linked worksheet) the charts and dialog below ignore source file sizes less than 1MB. (click chart for full size image) The chart above illustrates some interesting points about the results: When the block size is smaller than the source file, performance increases but as the block size approaches and then passes the source file size, you see decreasing benefit to the point of negative gains (see the values for the 1MB file size) For some of the moderately-sized source files, small blocks (256KB) are best As the size of the source file gets larger (see values for 50MB and up), the smallest block size is not the most efficient (presumably due, at least in part, to the increased number of blocks, increased number of individual transfer requests, and reassembly/committal costs). Once you pass the 250MB source file size, the difference in rate for 1MB to 4MB blocks is more-or-less constant The 1MB block size gives the best average improvement (~16x) but the optimal approach would be to vary the block size based on the size of the source file.    (click chart for full size image) The above is another view of the same data as the prior chart just with the axis changed (x-axis represents file size and plotted data shows improvement by block size). It again highlights the fact that the 1MB block size is probably the best overall size but highlights the benefits of some of the other block sizes at different source file sizes. This last chart shows the change in total duration of the file uploads based on different block sizes for the source file sizes. Nothing really new here other than this view of the data highlights the negative affects of poorly choosing a block size for smaller files.   Summary What we have found so far is that blocking your file uploads and uploading them in parallel results in significant performance improvements. Further, utilizing extension methods and the Task Parallel Library (.NET 4.0) make short work of altering the shipping client library to provide this functionality while minimizing the amount of change to existing applications that might be using the client library for other interactions.   Related Resources Source code for upload test application Source code for random file generator ODatas feed of raw data from non-optimized transfer tests Experiment Metadata Experiment Datasets 2KB Uploads 32KB Uploads 64KB Uploads 128KB Uploads 256KB Uploads 512KB Uploads 1MB Uploads 5MB Uploads 10MB Uploads 25MB Uploads 50MB Uploads 100MB Uploads 250MB Uploads 500MB Uploads 750MB Uploads 1GB Uploads Raw Data OData feeds of raw data from blocked/parallelized transfer tests Experiment Metadata Experiment Datasets Raw Data 256KB Blocks 512KB Blocks 1MB Blocks 2MB Blocks 4MB Blocks Excel worksheet showing summarizations and comparisons

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• Combined Likelihood Models

  - by Lukas Vermeer

  In a series of posts on this blog we have already described a flexible approach to recording events, a technique to create analytical models for reporting, a method that uses the same principles to generate extremely powerful facet based predictions and a waterfall strategy that can be used to blend multiple (possibly facet based) models for increased accuracy. This latest, and also last, addition to this sequence of increasing modeling complexity will illustrate an advanced approach to amalgamate models, taking us to a whole new level of predictive modeling and analytical insights; combination models predicting likelihoods using multiple child models. The method described here is far from trivial. We therefore would not recommend you apply these techniques in an initial implementation of Oracle Real-Time Decisions. In most cases, basic RTD models or the approaches described before will provide more than enough predictive accuracy and analytical insight. The following is intended as an example of how more advanced models could be constructed if implementation results warrant the increased implementation and design effort. Keep implemented statistics simple! Combining likelihoods Because facet based predictions are based on metadata attributes of the choices selected, it is possible to generate such predictions for more than one attribute of a choice. We can predict the likelihood of acceptance for a particular product based on the product category (e.g. ‘toys’), as well as based on the color of the product (e.g. ‘pink’). Of course, these two predictions may be completely different (the customer may well prefer toys, but dislike pink products) and we will have to somehow combine these two separate predictions to determine an overall likelihood of acceptance for the choice. Perhaps the simplest way to combine multiple predicted likelihoods into one is to calculate the average (or perhaps maximum or minimum) likelihood. However, this would completely forgo the fact that some facets may have a far more pronounced effect on the overall likelihood than others (e.g. customers may consider the product category more important than its color). We could opt for calculating some sort of weighted average, but this would require us to specify up front the relative importance of the different facets involved. This approach would also be unresponsive to changing consumer behavior in these preferences (e.g. product price bracket may become more important to consumers as a result of economic shifts). Preferably, we would want Oracle Real-Time Decisions to learn, act upon and tell us about, the correlations between the different facet models and the overall likelihood of acceptance. This additional level of predictive modeling, where a single supermodel (no pun intended) combines the output of several (facet based) models into a single prediction, is what we call a combined likelihood model. Facet Based Scores As an example, we have implemented three different facet based models (as described earlier) in a simple RTD inline service. These models will allow us to generate predictions for likelihood of acceptance for each product based on three different metadata fields: Category, Price Bracket and Product Color. We will use an Analytical Scores entity to store these different scores so we can easily pass them between different functions. A simple function, creatively named Compute Analytical Scores, will compute for each choice the different facet scores and return an Analytical Scores entity that is stored on the choice itself. For each score, a choice attribute referring to this entity is also added to be returned to the client to facilitate testing. One Offer To Predict Them All In order to combine the different facet based predictions into one single likelihood for each product, we will need a supermodel which can predict the likelihood of acceptance, based on the outcomes of the facet models. This model will not need to consider any of the attributes of the session, because they are already represented in the outcomes of the underlying facet models. For the same reason, the supermodel will not need to learn separately for each product, because the specific combination of facets for this product are also already represented in the output of the underlying models. In other words, instead of learning how session attributes influence acceptance of a particular product, we will learn how the outcomes of facet based models for a particular product influence acceptance at a higher level. We will therefore be using a single All Offers choice to represent all offers in our combined likelihood predictions. This choice has no attribute values configured, no scores and not a single eligibility rule; nor is it ever intended to be returned to a client. The All Offers choice is to be used exclusively by the Combined Likelihood Acceptance model to predict the likelihood of acceptance for all choices; based solely on the output of the facet based models defined earlier. The Switcheroo In Oracle Real-Time Decisions, models can only learn based on attributes stored on the session. Therefore, just before generating a combined prediction for a given choice, we will temporarily copy the facet based scores—stored on the choice earlier as an Analytical Scores entity—to the session. The code for the Predict Combined Likelihood Event function is outlined below. // set session attribute to contain facet based scores. // (this is the only input for the combined model) session().setAnalyticalScores(choice.getAnalyticalScores); // predict likelihood of acceptance for All Offers choice. CombinedLikelihoodChoice c = CombinedLikelihood.getChoice("AllOffers"); Double la = CombinedLikelihoodAcceptance.getChoiceEventLikelihoods(c, "Accepted"); // clear session attribute of facet based scores. session().setAnalyticalScores(null); // return likelihood. return la; This sleight of hand will allow the Combined Likelihood Acceptance model to predict the likelihood of acceptance for the All Offers choice using these choice specific scores. After the prediction is made, we will clear the Analytical Scores session attribute to ensure it does not pollute any of the other (facet) models. To guarantee our combined likelihood model will learn based on the facet based scores—and is not distracted by the other session attributes—we will configure the model to exclude any other inputs, save for the instance of the Analytical Scores session attribute, on the model attributes tab. Recording Events In order for the combined likelihood model to learn correctly, we must ensure that the Analytical Scores session attribute is set correctly at the moment RTD records any events related to a particular choice. We apply essentially the same switching technique as before in a Record Combined Likelihood Event function. // set session attribute to contain facet based scores // (this is the only input for the combined model). session().setAnalyticalScores(choice.getAnalyticalScores); // record input event against All Offers choice. CombinedLikelihood.getChoice("AllOffers").recordEvent(event); // force learn at this moment using the Internal Dock entry point. Application.getPredictor().learn(InternalLearn.modelArray, session(), session(), Application.currentTimeMillis()); // clear session attribute of facet based scores. session().setAnalyticalScores(null); In this example, Internal Learn is a special informant configured as the learn location for the combined likelihood model. The informant itself has no particular configuration and does nothing in itself; it is used only to force the model to learn at the exact instant we have set the Analytical Scores session attribute to the correct values. Reporting Results After running a few thousand (artificially skewed) simulated sessions on our ILS, the Decision Center reporting shows some interesting results. In this case, these results reflect perfectly the bias we ourselves had introduced in our tests. In practice, we would obviously use a wider range of customer attributes and expect to see some more unexpected outcomes. The facetted model for categories has clearly picked up on the that fact our simulated youngsters have little interest in purchasing the one red-hot vehicle our ILS had on offer. Also, it would seem that customer age is an excellent predictor for the acceptance of pink products. Looking at the key drivers for the All Offers choice we can see the relative importance of the different facets to the prediction of overall likelihood. The comparative importance of the category facet for overall prediction might, in part, be explained by the clear preference of younger customers for toys over other product types; as evident from the report on the predictiveness of customer age for offer category acceptance. Conclusion Oracle Real-Time Decisions' flexible decisioning framework allows for the construction of exceptionally elaborate prediction models that facilitate powerful targeting, but nonetheless provide insightful reporting. Although few customers will have a direct need for such a sophisticated solution architecture, it is encouraging to see that this lies within the realm of the possible with RTD; and this with limited configuration and customization required. There are obviously numerous other ways in which the predictive and reporting capabilities of Oracle Real-Time Decisions can be expanded upon to tailor to individual customers needs. We will not be able to elaborate on them all on this blog; and finding the right approach for any given problem is often more difficult than implementing the solution. Nevertheless, we hope that these last few posts have given you enough of an understanding of the power of the RTD framework and its models; so that you can take some of these ideas and improve upon your own strategy. As always, if you have any questions about the above—or any Oracle Real-Time Decisions design challenges you might face—please do not hesitate to contact us; via the comments below, social media or directly at Oracle. We are completely multi-channel and would be more than glad to help. :-)

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• What's New in Database Lifecycle Management in Enterprise Manager 12c Release 3

  - by HariSrinivasan

  Enterprise Manager 12c Release 3 includes improvements and enhancements across every area of the product. This blog provides an overview of the new and enhanced features in the Database Lifecycle Management area. I will deep dive into specific features more in depth in subsequent posts. "What's New?"  In this release, we focused on four things: 1. Lifecycle Management Support for new Database12c - Pluggable Databases 2. Management of long running processes, such as a security patch cycle (Change Activity Planner) 3. Management of large number of systems by · Leveraging new framework capabilities for lifecycle operations, such as the new advanced ‘emcli’ script option · Refining features such as configuration search and compliance 4. Minor improvements and quality fixes to existing features · Rollback support for Single instance databases · Improved "OFFLINE" Patching experience · Faster collection of ORACLE_HOME configurations Lifecycle Management Support for new Database 12c - Pluggable Databases Database 12c introduces Pluggable Databases (PDBs), the brand new addition to help you achieve your consolidation goals. Pluggable databases offer unprecedented consolidation at database level and native lifecycle verbs for creating, plugging and unplugging the databases on a container database (CDB). Enterprise Manager can supplement the capabilities of pluggable databases by offering workflows for migrating, provisioning and cloning them using the software library and the deployment procedures. For example, Enterprise Manager can migrate an existing database to a PDB or clone a PDB by storing a versioned copy in the software library. One can also manage the planned downtime related to patching by  migrating the PDBs to a new CDB. While pluggable databases offer these exciting features, it can also pose configuration management and compliance challenges if not managed properly. Enterprise Manager features like inventory management, topology associations and configuration search can mitigate the sprawl of PDBs and also lock them to predefined golden standards using configuration comparison and compliance rules. Learn More ... Management of Long Running datacenter processes - Change Activity Planner (CAP) Currently, customers resort to cumbersome methods to create, execute, track and monitor change activities within their data center. Some customers use traditional tools such as spreadsheets, project planners and in-house custom built solutions. Customers often have weekly sync up meetings across stake holders to collect status and updates. Some of the change activities, for example the quarterly patch set update (PSU) patch rollouts are not single tasks but processes with multiple tasks. Some of those tasks are performed within Enterprise Manager Cloud Control (for example Patch) and some are performed outside of Enterprise Manager Cloud Control. These tasks often run for a longer period of time and involve multiple people or teams. Enterprise Manger Cloud Control supports core data center operations such as configuration management, compliance management, and automation. Enterprise Manager Cloud Control release 12.1.0.3 leverages these capabilities and introduces the Change Activity Planner (CAP). CAP provides the ability to plan, execute, and track change activities in real time. It covers the typical datacenter activities that are spread over a long period of time, across multiple people and multiple targets (even target types). Here are some examples of Change Activity Process in a datacenter: · Patching large environments (PSU/CPU Patching cycles) · Upgrading large number of database environments · Rolling out Compliance Rules · Database Consolidation to Exadata environments CAP provides user flows for Compliance Officers/Managers (incl. lead administrators) and Operators (DBAs and admins). Managers can create change activity plans for various projects, allocate resources, targets, and groups affected. Upon activation of the plan, tasks are created and automatically assigned to individual administrators based on target ownership. Administrators (DBAs) can identify their tasks and understand the context, schedules, and priorities. They can complete tasks using Enterprise Manager Cloud Control automation features such as patch plans (or in some cases outside Enterprise Manager). Upon completion, compliance is evaluated for validations and updates the status of the tasks and the plans. Learn More about CAP ...  Improved Configuration & Compliance Management of a large number of systems Improved Configuration Comparison:  Get to the configuration comparison results faster for simple ad-hoc comparisons. When performing a 1 to 1 comparison, Enterprise Manager will perform the comparison immediately and take the user directly to the results without having to wait for a job to be submitted and executed. Flattened system comparisons reduce comparison setup time and reduce complexity. In addition to the previously existing topological comparison, users now have an option to compare using a “flattened” methodology. Flattening means to remove duplicate target instances within the systems and remove the hierarchy of member targets. The result are much easier to spot differences particularly for specific use cases like comparing patch levels between complex systems like RAC and Fusion Apps. Improved Configuration Search & Advanced EMCLI Script option for Mass Automation Enterprise manager 12c introduces a new framework level capability to be able to script and stitch together multiple tasks using EMCLI. This powerful capability can be leveraged for lifecycle operations, especially when executing a task over a large number of targets. Specific usages of this include, retrieving a qualified list of targets using Configuration Search and then using the resultset for automation. Another example would be executing a patching operation and then re-executing on targets where it may have failed. This is complemented by other enhancements, such as a better usability for designing reusable configuration searches. IN EM 12c Rel 3, a simplified UI makes building adhoc searches even easier. Searching for missing patches is a common use of configuration search. This required the use of the advanced options which are now clearly defined and easy to use. Perform “Configuration Search” using the EMCLI. Users can find and execute Configuration Searches from the EMCLI which can be extremely useful for building sophisticated automation scripts. For an example, Run the Search named “Oracle Databases on Exadata” which finds all Database targets running on top of Exadata. Further filter the results by refining by options like name, host, etc.. emcli get_targets -config_search="Databases on Exadata" –target_name="exa%“ Use this in powerful mass automation operations using the new emcli script option. For example, to solve the use case of – Finding all DBs running on Exadata and housing E-Biz and Patch them. Create a Python script with emcli functions and invoke it in the new EMCLI script option shell. Invoke the script in the new EMCLI with script option directly: $<path to emcli>/emcli @myPSU_Patch.py Richer compliance content:  Now over 50 Oracle Provided Compliance Standards including new standards for Pluggable Database, Fusion Applications, Oracle Identity Manager, Oracle VM and Internet Directory. 9 Oracle provided Real Time Monitoring Standards containing over 900 Compliance Rules across 500 Facets. These new Real time Compliance Standards covers both Exadata Compute nodes and Linux servers. The result is increased Oracle software coverage and faster time to compliance monitoring on Exadata. Enhancements to Patch Management: Overhauled "OFFLINE" Patching experience: Simplified Patch uploads UI to improve the offline experience of patching. There is now a single step process to get the patches into software library. Customers often maintain local repositories of patches, sometimes called software depots, where they host the patches downloaded from My Oracle Support. In the past, you had to move these patches to your desktop then upload them to the Enterprise Manager's Software library through the Enterprise Manager Cloud Control user interface. You can now use the following EMCLI command to upload multiple patches directly from a remote location within the data center: $emcli upload_patches -location <Path to Patch directory> -from_host <HOSTNAME> The upload process filters all of the new patches, automatically selects the relevant metadata files from the location, and uploads the patches to software library. Other Improvements:  Patch rollback for single instance databases, new option in the Patch Plan to rollback the patches added to the patch plans. Upon execution, the procedure would rollback the patch and the SQL applied to the single instance Databases. Improved and faster configuration collection of Oracle Home targets can enable more reliable automation at higher level functions like Provisioning, Patching or Database as a Service. Just to recap, here is a list of database lifecycle management features:  * Red highlights mark – New or Enhanced in the Release 3. • Discovery, inventory tracking and reporting • Database provisioning including o Migration to Pluggable databases o Plugging and unplugging of pluggable databases o Gold image based cloning o Scaling of RAC nodes •Schema and data change management •End-to-end patch management in online and offline modes, including o Patch advisories in online (connected with My Oracle Support) and offline mode o Patch pre-deployment analysis, deployment and rollback (currently only for single instance databases) o Reporting • Upgrade planning and execution of the upgrade process • Configuration management including • Compliance management with out-of-box content • Change Activity Planner for planning, designing and tracking long running processes For more information on Enterprise Manager’s database lifecycle management capabilities, visit http://www.oracle.com/technetwork/oem/lifecycle-mgmt/index.html

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• Common Live Upgrade problems

  - by user12611829

  As I have worked with customers deploying Live Upgrade in their environments, several problems seem to surface over and over. With this blog article, I will try to collect these troubles, as well as suggest some workarounds. If this sounds like the beginnings of a Wiki, you would be right. At present, there is not enough material for one, so we will use this blog for the time being. I do expect new material to be posted on occasion, so if you wish to bookmark it for future reference, a permanent link can be found here. Live Upgrade copies over ZFS root clone This was introduced in Solaris 10 10/09 (u8) and the root of the problem is a duplicate entry in the source boot environments ICF configuration file. Prior to u8, a ZFS root file system was not included in /etc/vfstab, since the mount is implicit at boot time. Starting with u8, the root file system is included in /etc/vfstab, and when the boot environment is scanned to create the ICF file, a duplicate entry is recorded. Here's what the error looks like. # lucreate -n s10u9-baseline Checking GRUB menu... System has findroot enabled GRUB Analyzing system configuration. Comparing source boot environment file systems with the file system(s) you specified for the new boot environment. Determining which file systems should be in the new boot environment. Updating boot environment description database on all BEs. Updating system configuration files. Creating configuration for boot environment . Source boot environment is . Creating boot environment . Creating file systems on boot environment . Creating file system for in zone on . The error indicator ----- /usr/lib/lu/lumkfs: test: unknown operator zfs Populating file systems on boot environment . Checking selection integrity. Integrity check OK. Populating contents of mount point . This should not happen ------ Copying. Ctrl-C and cleanup If you weren't paying close attention, you might not even know this is an error. The symptoms are lucreate times that are way too long due to the extraneous copy, or the one that alerted me to the problem, the root file system is filling up - again thanks to a redundant copy. This problem has already been identified and corrected, and a patch (121431-58 or later for x86, 121430-57 for SPARC) is available. Unfortunately, this patch has not yet made it into the Solaris 10 Recommended Patch Cluster. Applying the prerequisite patches from the latest cluster is a recommendation from the Live Upgrade Survival Guide blog, so an additional step will be required until the patch is included. Let's see how this works. # patchadd -p | grep 121431 Patch: 121429-13 Obsoletes: Requires: 120236-01 121431-16 Incompatibles: Packages: SUNWluzone Patch: 121431-54 Obsoletes: 121436-05 121438-02 Requires: Incompatibles: Packages: SUNWlucfg SUNWluu SUNWlur # unzip 121431-58 # patchadd 121431-58 Validating patches... Loading patches installed on the system... Done! Loading patches requested to install. Done! Checking patches that you specified for installation. Done! Approved patches will be installed in this order: 121431-58 Checking installed patches... Executing prepatch script... Installing patch packages... Patch 121431-58 has been successfully installed. See /var/sadm/patch/121431-58/log for details Executing postpatch script... Patch packages installed: SUNWlucfg SUNWlur SUNWluu # lucreate -n s10u9-baseline Checking GRUB menu... System has findroot enabled GRUB Analyzing system configuration. INFORMATION: Unable to determine size or capacity of slice . Comparing source boot environment file systems with the file system(s) you specified for the new boot environment. Determining which file systems should be in the new boot environment. INFORMATION: Unable to determine size or capacity of slice . Updating boot environment description database on all BEs. Updating system configuration files. Creating configuration for boot environment . Source boot environment is . Creating boot environment . Cloning file systems from boot environment to create boot environment . Creating snapshot for on . Creating clone for on . Setting canmount=noauto for in zone on . Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. Saving existing file in top level dataset for BE as //boot/grub/menu.lst.prev. File propagation successful Copied GRUB menu from PBE to ABE No entry for BE in GRUB menu Population of boot environment successful. Creation of boot environment successful. This time it took just a few seconds. A cursory examination of the offending ICF file (/etc/lu/ICF.3 in this case) shows that the duplicate root file system entry is now gone. # cat /etc/lu/ICF.3 s10u8-baseline:-:/dev/zvol/dsk/panroot/swap:swap:8388608 s10u8-baseline:/:panroot/ROOT/s10u8-baseline:zfs:0 s10u8-baseline:/vbox:pandora/vbox:zfs:0 s10u8-baseline:/setup:pandora/setup:zfs:0 s10u8-baseline:/export:pandora/export:zfs:0 s10u8-baseline:/pandora:pandora:zfs:0 s10u8-baseline:/panroot:panroot:zfs:0 s10u8-baseline:/workshop:pandora/workshop:zfs:0 s10u8-baseline:/export/iso:pandora/iso:zfs:0 s10u8-baseline:/export/home:pandora/home:zfs:0 s10u8-baseline:/vbox/HardDisks:pandora/vbox/HardDisks:zfs:0 s10u8-baseline:/vbox/HardDisks/WinXP:pandora/vbox/HardDisks/WinXP:zfs:0 Solaris 10 9/10 introduces new autoregistration file This one is actually mentioned in the Oracle Solaris 9/10 release notes. I know, I hate it when that happens too. Here's what the "error" looks like. # luupgrade -u -s /mnt -n s10u9-baseline System has findroot enabled GRUB No entry for BE in GRUB menu Copying failsafe kernel from media. 61364 blocks miniroot filesystem is Mounting miniroot at ERROR: The auto registration file does not exist or incomplete. The auto registration file is mandatory for this upgrade. Use -k argument along with luupgrade command. autoreg_file is path to auto registration information file. See sysidcfg(4) for a list of valid keywords for use in this file. The format of the file is as follows. oracle_user=xxxx oracle_pw=xxxx http_proxy_host=xxxx http_proxy_port=xxxx http_proxy_user=xxxx http_proxy_pw=xxxx For more details refer "Oracle Solaris 10 9/10 Installation Guide: Planning for Installation and Upgrade". As with the previous problem, this is also easy to work around. Assuming that you don't want to use the auto-registration feature at upgrade time, create a file that contains just autoreg=disable and pass the filename on to luupgrade. Here is an example. # echo "autoreg=disable" /var/tmp/no-autoreg # luupgrade -u -s /mnt -k /var/tmp/no-autoreg -n s10u9-baseline System has findroot enabled GRUB No entry for BE in GRUB menu Copying failsafe kernel from media. 61364 blocks miniroot filesystem is Mounting miniroot at ####################################################################### NOTE: To improve products and services, Oracle Solaris communicates configuration data to Oracle after rebooting. You can register your version of Oracle Solaris to capture this data for your use, or the data is sent anonymously. For information about what configuration data is communicated and how to control this facility, see the Release Notes or www.oracle.com/goto/solarisautoreg. INFORMATION: After activated and booted into new BE , Auto Registration happens automatically with the following Information autoreg=disable ####################################################################### Validating the contents of the media . The media is a standard Solaris media. The media contains an operating system upgrade image. The media contains version . Constructing upgrade profile to use. Locating the operating system upgrade program. Checking for existence of previously scheduled Live Upgrade requests. Creating upgrade profile for BE . Checking for GRUB menu on ABE . Saving GRUB menu on ABE . Checking for x86 boot partition on ABE. Determining packages to install or upgrade for BE . Performing the operating system upgrade of the BE . CAUTION: Interrupting this process may leave the boot environment unstable or unbootable. The Live Upgrade operation now proceeds as expected. Once the system upgrade is complete, we can manually register the system. If you want to do a hands off registration during the upgrade, see the Oracle Solaris Auto Registration section of the Oracle Solaris Release Notes for instructions on how to do that. Technocrati Tags: Oracle Solaris Patching Live Upgrade var sc_project=1193495; var sc_invisible=1; var sc_security="a46f6831";

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• Integration Patterns with Azure Service Bus Relay, Part 3: Anonymous partial-trust consumer

  - by Elton Stoneman

  This is the third in the IPASBR series, see also: Integration Patterns with Azure Service Bus Relay, Part 1: Exposing the on-premise service Integration Patterns with Azure Service Bus Relay, Part 2: Anonymous full-trust .NET consumer As the patterns get further from the simple .NET full-trust consumer, all that changes is the communication protocol and the authentication mechanism. In Part 3 the scenario is that we still have a secure .NET environment consuming our service, so we can store shared keys securely, but the runtime environment is locked down so we can't use Microsoft.ServiceBus to get the nice WCF relay bindings. To support this we will expose a RESTful endpoint through the Azure Service Bus, and require the consumer to send a security token with each HTTP service request. Pattern applicability This is a good fit for scenarios where: the runtime environment is secure enough to keep shared secrets the consumer can execute custom code, including building HTTP requests with custom headers the consumer cannot use the Azure SDK assemblies the service may need to know who is consuming it the service does not need to know who the end-user is Note there isn't actually a .NET requirement here. By exposing the service in a REST endpoint, anything that can talk HTTP can be a consumer. We'll authenticate through ACS which also gives us REST endpoints, so the service is still accessed securely. Our real-world example would be a hosted cloud app, where we we have enough room in the app's customisation to keep the shared secret somewhere safe and to hook in some HTTP calls. We will be flowing an identity through to the on-premise service now, but it will be the service identity given to the consuming app - the end user's identity isn't flown through yet. In this post, we’ll consume the service from Part 1 in ASP.NET using the WebHttpRelayBinding. The code for Part 3 (+ Part 1) is on GitHub here: IPASBR Part 3. Authenticating and authorizing with ACS We'll follow the previous examples and add a new service identity for the namespace in ACS, so we can separate permissions for different consumers (see walkthrough in Part 1). I've named the identity partialTrustConsumer. We’ll be authenticating against ACS with an explicit HTTP call, so we need a password credential rather than a symmetric key – for a nice secure option, generate a symmetric key, copy to the clipboard, then change type to password and paste in the key: We then need to do the same as in Part 2 , add a rule to map the incoming identity claim to an outgoing authorization claim that allows the identity to send messages to Service Bus: Issuer: Access Control Service Input claim type: http://schemas.xmlsoap.org/ws/2005/05/identity/claims/nameidentifier Input claim value: partialTrustConsumer Output claim type: net.windows.servicebus.action Output claim value: Send As with Part 2, this sets up a service identity which can send messages into Service Bus, but cannot register itself as a listener, or manage the namespace. RESTfully exposing the on-premise service through Azure Service Bus Relay The part 3 sample code is ready to go, just put your Azure details into Solution Items\AzureConnectionDetails.xml and “Run Custom Tool” on the .tt files.  But to do it yourself is very simple. We already have a WebGet attribute in the service for locally making REST calls, so we are just going to add a new endpoint which uses the WebHttpRelayBinding to relay that service through Azure. It's as easy as adding this endpoint to Web.config for the service:         <endpoint address="https://sixeyed-ipasbr.servicebus.windows.net/rest"                   binding="webHttpRelayBinding"                    contract="Sixeyed.Ipasbr.Services.IFormatService"                   behaviorConfiguration="SharedSecret">         </endpoint> - and adding the webHttp attribute in your endpoint behavior:           <behavior name="SharedSecret">             <webHttp/>             <transportClientEndpointBehavior credentialType="SharedSecret">               <clientCredentials>                 <sharedSecret issuerName="serviceProvider"                               issuerSecret="gl0xaVmlebKKJUAnpripKhr8YnLf9Neaf6LR53N8uGs="/>               </clientCredentials>             </transportClientEndpointBehavior>           </behavior> Where's my WSDL? The metadata story for REST is a bit less automated. In our local webHttp endpoint we've enabled WCF's built-in help, so if you navigate to: http://localhost/Sixeyed.Ipasbr.Services/FormatService.svc/rest/help - you'll see the uri format for making a GET request to the service. The format is the same over Azure, so this is where you'll be connecting: https://[your-namespace].servicebus.windows.net/rest/reverse?string=abc123 Build the service with the new endpoint, open that in a browser and you'll get an XML version of an HTTP status code - a 401 with an error message stating that you haven’t provided an authorization header: <?xml version="1.0"?><Error><Code>401</Code><Detail>MissingToken: The request contains no authorization header..TrackingId:4cb53408-646b-4163-87b9-bc2b20cdfb75_5,TimeStamp:10/3/2012 8:34:07 PM</Detail></Error> By default, the setup of your Service Bus endpoint as a relying party in ACS expects a Simple Web Token to be presented with each service request, and in the browser we're not passing one, so we can't access the service. Note that this request doesn't get anywhere near your on-premise service, Service Bus only relays requests once they've got the necessary approval from ACS. Why didn't the consumer need to get ACS authorization in Part 2? It did, but it was all done behind the scenes in the NetTcpRelayBinding. By specifying our Shared Secret credentials in the consumer, the service call is preceded by a check on ACS to see that the identity provided is a) valid, and b) allowed access to our Service Bus endpoint. By making manual HTTP requests, we need to take care of that ACS check ourselves now. We do that with a simple WebClient call to the ACS endpoint of our service; passing the shared secret credentials, we will get back an SWT: var values = new System.Collections.Specialized.NameValueCollection(); values.Add("wrap_name", "partialTrustConsumer"); //service identity name values.Add("wrap_password", "suCei7AzdXY9toVH+S47C4TVyXO/UUFzu0zZiSCp64Y="); //service identity password values.Add("wrap_scope", "http://sixeyed-ipasbr.servicebus.windows.net/"); //this is the realm of the RP in ACS var acsClient = new WebClient(); var responseBytes = acsClient.UploadValues("https://sixeyed-ipasbr-sb.accesscontrol.windows.net/WRAPv0.9/", "POST", values); rawToken = System.Text.Encoding.UTF8.GetString(responseBytes); With a little manipulation, we then attach the SWT to subsequent REST calls in the authorization header; the token contains the Send claim returned from ACS, so we will be authorized to send messages into Service Bus. Running the sample Navigate to http://localhost:2028/Sixeyed.Ipasbr.WebHttpClient/Default.cshtml, enter a string and hit Go! - your string will be reversed by your on-premise service, routed through Azure: Using shared secret client credentials in this way means ACS is the identity provider for your service, and the claim which allows Send access to Service Bus is consumed by Service Bus. None of the authentication details make it through to your service, so your service is not aware who the consumer is (MSDN calls this "anonymous authentication").

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• Why Is Vertical Resolution Monitor Resolution so Often a Multiple of 360?

  - by Jason Fitzpatrick

  Stare at a list of monitor resolutions long enough and you might notice a pattern: many of the vertical resolutions, especially those of gaming or multimedia displays, are multiples of 360 (720, 1080, 1440, etc.) But why exactly is this the case? Is it arbitrary or is there something more at work? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-driven grouping of Q&A web sites. The Question SuperUser reader Trojandestroy recently noticed something about his display interface and needs answers: YouTube recently added 1440p functionality, and for the first time I realized that all (most?) vertical resolutions are multiples of 360. Is this just because the smallest common resolution is 480×360, and it’s convenient to use multiples? (Not doubting that multiples are convenient.) And/or was that the first viewable/conveniently sized resolution, so hardware (TVs, monitors, etc) grew with 360 in mind? Taking it further, why not have a square resolution? Or something else unusual? (Assuming it’s usual enough that it’s viewable). Is it merely a pleasing-the-eye situation? So why have the display be a multiple of 360? The Answer SuperUser contributor User26129 offers us not just an answer as to why the numerical pattern exists but a history of screen design in the process: Alright, there are a couple of questions and a lot of factors here. Resolutions are a really interesting field of psychooptics meeting marketing. First of all, why are the vertical resolutions on youtube multiples of 360. This is of course just arbitrary, there is no real reason this is the case. The reason is that resolution here is not the limiting factor for Youtube videos – bandwidth is. Youtube has to re-encode every video that is uploaded a couple of times, and tries to use as little re-encoding formats/bitrates/resolutions as possible to cover all the different use cases. For low-res mobile devices they have 360×240, for higher res mobile there’s 480p, and for the computer crowd there is 360p for 2xISDN/multiuser landlines, 720p for DSL and 1080p for higher speed internet. For a while there were some other codecs than h.264, but these are slowly being phased out with h.264 having essentially ‘won’ the format war and all computers being outfitted with hardware codecs for this. Now, there is some interesting psychooptics going on as well. As I said: resolution isn’t everything. 720p with really strong compression can and will look worse than 240p at a very high bitrate. But on the other side of the spectrum: throwing more bits at a certain resolution doesn’t magically make it better beyond some point. There is an optimum here, which of course depends on both resolution and codec. In general: the optimal bitrate is actually proportional to the resolution. So the next question is: what kind of resolution steps make sense? Apparently, people need about a 2x increase in resolution to really see (and prefer) a marked difference. Anything less than that and many people will simply not bother with the higher bitrates, they’d rather use their bandwidth for other stuff. This has been researched quite a long time ago and is the big reason why we went from 720×576 (415kpix) to 1280×720 (922kpix), and then again from 1280×720 to 1920×1080 (2MP). Stuff in between is not a viable optimization target. And again, 1440P is about 3.7MP, another ~2x increase over HD. You will see a difference there. 4K is the next step after that. Next up is that magical number of 360 vertical pixels. Actually, the magic number is 120 or 128. All resolutions are some kind of multiple of 120 pixels nowadays, back in the day they used to be multiples of 128. This is something that just grew out of LCD panel industry. LCD panels use what are called line drivers, little chips that sit on the sides of your LCD screen that control how bright each subpixel is. Because historically, for reasons I don’t really know for sure, probably memory constraints, these multiple-of-128 or multiple-of-120 resolutions already existed, the industry standard line drivers became drivers with 360 line outputs (1 per subpixel). If you would tear down your 1920×1080 screen, I would be putting money on there being 16 line drivers on the top/bottom and 9 on one of the sides. Oh hey, that’s 16:9. Guess how obvious that resolution choice was back when 16:9 was ‘invented’. Then there’s the issue of aspect ratio. This is really a completely different field of psychology, but it boils down to: historically, people have believed and measured that we have a sort of wide-screen view of the world. Naturally, people believed that the most natural representation of data on a screen would be in a wide-screen view, and this is where the great anamorphic revolution of the ’60s came from when films were shot in ever wider aspect ratios. Since then, this kind of knowledge has been refined and mostly debunked. Yes, we do have a wide-angle view, but the area where we can actually see sharply – the center of our vision – is fairly round. Slightly elliptical and squashed, but not really more than about 4:3 or 3:2. So for detailed viewing, for instance for reading text on a screen, you can utilize most of your detail vision by employing an almost-square screen, a bit like the screens up to the mid-2000s. However, again this is not how marketing took it. Computers in ye olden days were used mostly for productivity and detailed work, but as they commoditized and as the computer as media consumption device evolved, people didn’t necessarily use their computer for work most of the time. They used it to watch media content: movies, television series and photos. And for that kind of viewing, you get the most ‘immersion factor’ if the screen fills as much of your vision (including your peripheral vision) as possible. Which means widescreen. But there’s more marketing still. When detail work was still an important factor, people cared about resolution. As many pixels as possible on the screen. SGI was selling almost-4K CRTs! The most optimal way to get the maximum amount of pixels out of a glass substrate is to cut it as square as possible. 1:1 or 4:3 screens have the most pixels per diagonal inch. But with displays becoming more consumery, inch-size became more important, not amount of pixels. And this is a completely different optimization target. To get the most diagonal inches out of a substrate, you want to make the screen as wide as possible. First we got 16:10, then 16:9 and there have been moderately successful panel manufacturers making 22:9 and 2:1 screens (like Philips). Even though pixel density and absolute resolution went down for a couple of years, inch-sizes went up and that’s what sold. Why buy a 19″ 1280×1024 when you can buy a 21″ 1366×768? Eh… I think that about covers all the major aspects here. There’s more of course; bandwidth limits of HDMI, DVI, DP and of course VGA played a role, and if you go back to the pre-2000s, graphics memory, in-computer bandwdith and simply the limits of commercially available RAMDACs played an important role. But for today’s considerations, this is about all you need to know. Have something to add to the explanation? Sound off in the the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.     

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• Navigation in Win8 Metro Style applications

  - by Dennis Vroegop

  In Windows 8, Touch is, as they say, a first class citizen. Now, to be honest: they also said that in Windows 7. However in Win8 this is actually true. Applications are meant to be used by touch. Yes, you can still use mouse, keyboard and pen and your apps should take that into account but touch is where you should focus on initially. Will all users have touch enabled devices? No, not in the first place. I don’t think touchscreens will be on every device sold next year. But in 5 years? Who knows? Don’t forget: if your app is successful it will be around for a long time and by that time touchscreens will be everywhere. Another reason to embrace touch is that it’s easier to develop a touch-oriented app and then to make sure that keyboard, nouse and pen work as doing it the other way around. Porting a mouse-based application to a touch based application almost never works. The reverse gives you much more chances for success. That being said, there are some things that you need to think about. Most people have more than one finger, while most users only use one mouse at the time. Still, most touch-developers translate their mouse-knowledge to the touch and think they did a good job. Martin Tirion from Microsoft said that since Touch is a new language people face the same challenges they do when learning a new real spoken language. The first thing people try when learning a new language is simply replace the words in their native language to the newly learned words. At first they don’t care about grammar. To a native speaker of that other language this sounds all wrong but they still will be able to understand what the intention was. If you don’t believe me: try Google translate to translate something for you from your language to another and then back and see what happens. The same thing happens with Touch. Most developers translate a mouse-click into a tap-event and think they’re done. Well matey, you’re not done. Not by far. There are things you can do with a mouse that you cannot do with touch. Think hover. A mouse has the ability to ‘slide’ over UI elements. Touch doesn’t (I know: with Pen you can do this but I’m talking about actual fingers here). A touch is either there or it isn’t. And right-click? Forget about it. A click is a click.  Yes, you have more than one finger but the machine doesn’t know which finger you use… The other way around is also true. Like I said: most users only have one mouse but they are likely to have more than one finger. So how do we take that into account? Thinking about this is really worth the time: you might come up with some surprisingly good ideas! Still: don’t forget that not every user has touch-enabled hardware so make sure your app is useable for both groups. Keep this in mind: we’re going to need it later on! Now. Apps should be easy to use. You don’t want your user to read through pages and pages of documentation before they can use the app. Imagine that spotter next to an airfield suddenly seeing a prototype of a Concorde 2 landing on the nearby runway. He probably wants to enter that information in our app NOW and not after he’s taken a 3 day course. Even if he still has to download the app, install it for the first time and then run it he should be on his way immediately. At least, fast enough to note down the details of that unique, rare and possibly exciting sighting he just did. So.. How do we do this? Well, I am not talking about games here. Games are in a league of their own. They fall outside the scope of the apps I am describing. But all the others can roughly be characterized as being one of two flavors: the navigation is either flat or hierarchical. That’s it. And if it’s hierarchical it’s no more than three levels deep. Not more. Your users will get lost otherwise and we don’t want that. Flat is simple. Just imagine we have one screen that is as high as our physical screen is and as wide as you need it to be. Don’t worry if it doesn’t fit on the screen: people can scroll to the right and left. Don’t combine up/down and left/right scrolling: it’s confusing. Next to that, since most users will hold their device in landscape mode it’s very natural to scroll horizontal. So let’s use that when we have a flat model. The same applies to the hierarchical model. Try to have at most three levels. If you need more space, find a way to group the items in such a way that you can fit it in three, very wide lanes. At the highest level we have the so called hub level. This is the entry point of the app and as such it should give the user an immediate feeling of what the app is all about. If your app has categories if items then you might show these categories here. And while you’re at it: also show 2 or 3 of the items itself here to give the user a taste of what lies beneath. If the user selects a category you go to the section part. Here you show several sections (again, go as wide as you need) with again some detail examples. After that: the details layer shows each item. By giving some samples of the underlaying layer you achieve several things: you make the layer attractive by showing several different things, you show some highlights so the user sees actual content and you provide a shortcut to the layers underneath. The image below is borrowed from the http://design.windows.com website which has tons and tons of examples: For our app we’ll use this layout. So what will we show? Well, let’s see what sorts of features our app has to offer. I’ll repeat them here: Note planes Add pictures of that plane Notify friends of new spots Share new spots on social media Write down arrival times Write down departure times Write down the runway they take I am sure you can think of some more items but for now we'll use these. In the hub we’ll show something that represents “Spots”, “Friends”, “Social”. Apparently we have an inner list of spotter-friends that are in the app, while we also have to whole world in social. In the layer below we show something else, depending on what the user choose. When they choose “Spots” we’ll display the last spots, last spots by our friends (so we can actually jump from this category to the one next to it) and so on. When they choose a “spot” (or press the + icon in the App bar, which I’ll talk about next time) they go to the lowest and final level that shows details about that spot, including a picture, date and time and the notes belonging to that entry. You’d be amazed at how easy it is to organize your app this way. If you don’t have enough room in these three layers you probably could easily get away with grouping items. Take a look at our hub: we have three completely different things in one place. If you still can’t fit it all in in a logical and consistent way, chances are you are trying to do too much in this app. Go back to your mission statement, determine if it is specific enough and if your feature list helps that statement or makes it unclear. Go ahead. Give it a go! Next time we’ll talk about the look and feel, the charms and the app-bar….

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• Adventures in Windows 8: Working around the navigation animation issues in LayoutAwarePage

  - by Laurent Bugnion

  LayoutAwarePage is a pretty cool add-on to Windows 8 apps, which facilitates greatly the implementation of orientation-aware (portrait, landscape) as well as state-aware (snapped, filled, fullscreen) apps. It has however a few issues that are obvious when you use transformed elements on your page. Adding a LayoutAwarePage to your application If you start with a blank app, the MainPage is a vanilla Page, with no such feature. In order to have a LayoutAwarePage into your app, you need to add this class (and a few helpers) with the following operation: Right click on the Solution and select Add, New Item from the context menu. From the dialog, select a Basic Page (not a Blank Page, which is another vanilla page). If you prefer, you can also use Split Page, Items Page, Item Detail Page, Grouped Items Page or Group Detail Page which are all LayoutAwarePages. Personally I like to start with a Basic Page, which gives me more creative freedom. Adding this new page will cause Visual Studio to show a prompt asking you for permission to add additional helper files to the Common folder. One of these helpers in the LayoutAwarePage class, which is where the magic happens. LayoutAwarePage offers some help for the detection of orientation and state (which makes it a pleasure to design for all these scenarios in Blend, by the way) as well as storage for the navigation state (more about that in a future article). Issue with LayoutAwarePage When you use UI elements such as a background picture, a watermark label, logos, etc, it is quite common to do a few things with those: Making them partially transparent (this is especially true for background pictures; for instance I really like a black Page background with a half transparent picture placed on top of it). Transforming them, for instance rotating them a bit, scaling them, etc. Here is an example with a picture of my two beautiful daughters in the Bird Park in Kuala Lumpur, as well as a transformed TextBlock. The image has an opacity of 40% and the TextBlock a simple RotateTransform. If I create an application with a MainPage that navigates to this LayoutAwarePage, however, I will have a very annoying effect: The background picture appears with an Opacity of 100%. The TextBlock is not rotated. This lasts only for less than a second (during the navigation animation) before the elements “snap into place” and get their desired effect. Here is the XAML that cause the annoying effect: <common:LayoutAwarePage x:Name="pageRoot" x:Class="App13.BasicPage1" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" xmlns:common="using:App13.Common" xmlns:d="http://schemas.microsoft.com/expression/blend/2008" xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" mc:Ignorable="d"> <Grid Style="{StaticResource LayoutRootStyle}"> <Grid.RowDefinitions> <RowDefinition Height="140" /> <RowDefinition Height="*" /> </Grid.RowDefinitions> <Image Source="Assets/el20120812025.jpg" Stretch="UniformToFill" Opacity="0.4" Grid.RowSpan="2" /> <Grid> <Grid.ColumnDefinitions> <ColumnDefinition Width="Auto" /> <ColumnDefinition Width="*" /> </Grid.ColumnDefinitions> <Button x:Name="backButton" Click="GoBack" IsEnabled="{Binding Frame.CanGoBack, ElementName=pageRoot}" Style="{StaticResource BackButtonStyle}" /> <TextBlock x:Name="pageTitle" Grid.Column="1" Text="Welcome" Style="{StaticResource PageHeaderTextStyle}" /> </Grid> <TextBlock HorizontalAlignment="Center" TextWrapping="Wrap" Text="Welcome to my Windows 8 Application" Grid.Row="1" VerticalAlignment="Bottom" FontFamily="Segoe UI Light" FontSize="70" FontWeight="Light" TextAlignment="Center" Foreground="#FFFFA200" RenderTransformOrigin="0.5,0.5" UseLayoutRounding="False" d:LayoutRounding="Auto" Margin="0,0,0,153"> <TextBlock.RenderTransform> <CompositeTransform Rotation="-6.545" /> </TextBlock.RenderTransform> </TextBlock> <VisualStateManager.VisualStateGroups> [...] </VisualStateManager.VisualStateGroups> </Grid> </common:LayoutAwarePage> Solving the issue In order to solve this “snapping” issue, the solution is to wrap the elements that are transformed into an empty Grid. Honestly, to me it sounds like a bug in the LayoutAwarePage navigation animation, but thankfully the workaround is not that difficult: Simple change the main Grid as follows: <Grid Style="{StaticResource LayoutRootStyle}"> <Grid.RowDefinitions> <RowDefinition Height="140" /> <RowDefinition Height="*" /> </Grid.RowDefinitions> <Grid Grid.RowSpan="2"> <Image Source="Assets/el20120812025.jpg" Stretch="UniformToFill" Opacity="0.4" /> </Grid> <Grid> <Grid.ColumnDefinitions> <ColumnDefinition Width="Auto" /> <ColumnDefinition Width="*" /> </Grid.ColumnDefinitions> <Button x:Name="backButton" Click="GoBack" IsEnabled="{Binding Frame.CanGoBack, ElementName=pageRoot}" Style="{StaticResource BackButtonStyle}" /> <TextBlock x:Name="pageTitle" Grid.Column="1" Text="Welcome" Style="{StaticResource PageHeaderTextStyle}" /> </Grid> <Grid Grid.Row="1"> <TextBlock HorizontalAlignment="Center" TextWrapping="Wrap" Text="Welcome to my Windows 8 Application" VerticalAlignment="Bottom" FontFamily="Segoe UI Light" FontSize="70" FontWeight="Light" TextAlignment="Center" Foreground="#FFFFA200" RenderTransformOrigin="0.5,0.5" UseLayoutRounding="False" d:LayoutRounding="Auto" Margin="0,0,0,153"> <TextBlock.RenderTransform> <CompositeTransform Rotation="-6.545" /> </TextBlock.RenderTransform> </TextBlock> </Grid> <VisualStateManager.VisualStateGroups> [...] </Grid> Hopefully this will help a few people, I banged my head on the wall for a while before someone at Microsoft pointed me to the solution ;) Happy coding, Laurent   Laurent Bugnion (GalaSoft) Subscribe | Twitter | Facebook | Flickr | LinkedIn

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• LVM / Device Mapper maps wrong device

  - by DaDaDom

  Hi, I run a LVM setup on a raid1 created by mdadm. md2 is based on sda6 (major:minor 8:6) and sdb6 (8:22). md2 is partition 9:2. The VG on top of md2 has 4 LVs, var, home, usr, tmp. First the problem: While booting it seems as if the device mapper takes the wrong partition for the mapping! Immediately after boot the information is like ~# dmsetup table systemlvm-home: 0 4194304 linear 8:22 384 systemlvm-home: 4194304 16777216 linear 8:22 69206400 systemlvm-home: 20971520 8388608 linear 8:22 119538048 systemlvm-home: 29360128 6291456 linear 8:22 243270016 systemlvm-tmp: 0 2097152 linear 8:22 41943424 systemlvm-usr: 0 10485760 linear 8:22 20971904 systemlvm-var: 0 10485760 linear 8:22 10486144 systemlvm-var: 10485760 6291456 linear 8:22 4194688 systemlvm-var: 16777216 4194304 linear 8:22 44040576 systemlvm-var: 20971520 10485760 linear 8:22 31457664 systemlvm-var: 31457280 20971520 linear 8:22 48234880 systemlvm-var: 52428800 33554432 linear 8:22 85983616 systemlvm-var: 85983232 115343360 linear 8:22 127926656 ~# cat /proc/mdstat Personalities : [raid1] md2 : active (auto-read-only) raid1 sda6[0] 151798080 blocks [2/1] [U_] md0 : active raid1 sda1[0] sdb1[1] 96256 blocks [2/2] [UU] md1 : active raid1 sda2[0] sdb2[1] 2931776 blocks [2/2] [UU] I have to manually "lvchange -an" all LVs, add /dev/sdb6 back to the raid and reactivate the LVs, then all is fine. But it prevents me from automounting the partitions and obviously leads to a bunch of other problems. If everything works fine, the information is like ~$ cat /proc/mdstat Personalities : [raid1] md2 : active raid1 sdb6[1] sda6[0] 151798080 blocks [2/2] [UU] ... ~# dmsetup table systemlvm-home: 0 4194304 linear 9:2 384 systemlvm-home: 4194304 16777216 linear 9:2 69206400 systemlvm-home: 20971520 8388608 linear 9:2 119538048 systemlvm-home: 29360128 6291456 linear 9:2 243270016 systemlvm-tmp: 0 2097152 linear 9:2 41943424 systemlvm-usr: 0 10485760 linear 9:2 20971904 systemlvm-var: 0 10485760 linear 9:2 10486144 systemlvm-var: 10485760 6291456 linear 9:2 4194688 systemlvm-var: 16777216 4194304 linear 9:2 44040576 systemlvm-var: 20971520 10485760 linear 9:2 31457664 systemlvm-var: 31457280 20971520 linear 9:2 48234880 systemlvm-var: 52428800 33554432 linear 9:2 85983616 systemlvm-var: 85983232 115343360 linear 9:2 127926656 I think that LVM for some reason just "takes" /dev/sdb6 which is then missing in the raid. I tried almost all options in the lvm.conf but none seems to work. Below is some more information, like config files. Does anyone have any idea about what is going on here and how to prevent that? If you need any additional information, please let me know Thanks in advance! Dominik The information (off a "repaired" system): ~# cat /etc/debian_version 5.0.4 ~# uname -a Linux kermit 2.6.26-2-686 #1 SMP Wed Feb 10 08:59:21 UTC 2010 i686 GNU/Linux ~# lvm version LVM version: 2.02.39 (2008-06-27) Library version: 1.02.27 (2008-06-25) Driver version: 4.13.0 ~# cat /etc/mdadm/mdadm.conf DEVICE partitions ARRAY /dev/md1 level=raid1 num-devices=2 metadata=00.90 UUID=11e9dc6c:1da99f3f:b3088ca6:c6fe60e9 ARRAY /dev/md0 level=raid1 num-devices=2 metadata=00.90 UUID=92ed1e4b:897361d3:070682b3:3baa4fa1 ARRAY /dev/md2 level=raid1 num-devices=2 metadata=00.90 UUID=601d4642:39dc80d7:96e8bbac:649924ba ~# mount /dev/md1 on / type ext3 (rw,errors=remount-ro) tmpfs on /lib/init/rw type tmpfs (rw,nosuid,mode=0755) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) procbususb on /proc/bus/usb type usbfs (rw) udev on /dev type tmpfs (rw,mode=0755) tmpfs on /dev/shm type tmpfs (rw,nosuid,nodev) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=620) /dev/md0 on /boot type ext3 (rw) /dev/mapper/systemlvm-usr on /usr type reiserfs (rw) /dev/mapper/systemlvm-tmp on /tmp type reiserfs (rw) /dev/mapper/systemlvm-home on /home type reiserfs (rw) /dev/mapper/systemlvm-var on /var type reiserfs (rw) ~# grep -v ^$ /etc/lvm/lvm.conf | grep -v "#" devices { dir = "/dev" scan = [ "/dev" ] preferred_names = [ ] filter = [ "a|/dev/md.*|", "r/.*/" ] cache_dir = "/etc/lvm/cache" cache_file_prefix = "" write_cache_state = 1 sysfs_scan = 1 md_component_detection = 1 ignore_suspended_devices = 0 } log { verbose = 0 syslog = 1 overwrite = 0 level = 0 indent = 1 command_names = 0 prefix = " " } backup { backup = 1 backup_dir = "/etc/lvm/backup" archive = 1 archive_dir = "/etc/lvm/archive" retain_min = 10 retain_days = 30 } shell { history_size = 100 } global { umask = 077 test = 0 units = "h" activation = 1 proc = "/proc" locking_type = 1 fallback_to_clustered_locking = 1 fallback_to_local_locking = 1 locking_dir = "/lib/init/rw" } activation { missing_stripe_filler = "/dev/ioerror" reserved_stack = 256 reserved_memory = 8192 process_priority = -18 mirror_region_size = 512 readahead = "auto" mirror_log_fault_policy = "allocate" mirror_device_fault_policy = "remove" } :~# vgscan -vvv Processing: vgscan -vvv O_DIRECT will be used Setting global/locking_type to 1 File-based locking selected. Setting global/locking_dir to /lib/init/rw Locking /lib/init/rw/P_global WB Wiping cache of LVM-capable devices /dev/block/1:0: Added to device cache /dev/block/1:1: Added to device cache /dev/block/1:10: Added to device cache /dev/block/1:11: Added to device cache /dev/block/1:12: Added to device cache /dev/block/1:13: Added to device cache /dev/block/1:14: Added to device cache /dev/block/1:15: Added to device cache /dev/block/1:2: Added to device cache /dev/block/1:3: Added to device cache /dev/block/1:4: Added to device cache /dev/block/1:5: Added to device cache /dev/block/1:6: Added to device cache /dev/block/1:7: Added to device cache /dev/block/1:8: Added to device cache /dev/block/1:9: Added to device cache /dev/block/253:0: Added to device cache /dev/block/253:1: Added to device cache /dev/block/253:2: Added to device cache /dev/block/253:3: Added to device cache /dev/block/8:0: Added to device cache /dev/block/8:1: Added to device cache /dev/block/8:16: Added to device cache /dev/block/8:17: Added to device cache /dev/block/8:18: Added to device cache /dev/block/8:19: Added to device cache /dev/block/8:2: Added to device cache /dev/block/8:21: Added to device cache /dev/block/8:22: Added to device cache /dev/block/8:3: Added to device cache /dev/block/8:5: Added to device cache /dev/block/8:6: Added to device cache /dev/block/9:0: Already in device cache /dev/block/9:1: Already in device cache /dev/block/9:2: Already in device cache /dev/bsg/0:0:0:0: Not a block device /dev/bsg/1:0:0:0: Not a block device /dev/bus/usb/001/001: Not a block device [... many more "not a block device"] /dev/core: Not a block device /dev/cpu_dma_latency: Not a block device /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895: Aliased to /dev/block/8:16 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800: Aliased to /dev/block/8:0 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-id/dm-name-systemlvm-home: Aliased to /dev/block/253:2 in device cache /dev/disk/by-id/dm-name-systemlvm-tmp: Aliased to /dev/block/253:3 in device cache /dev/disk/by-id/dm-name-systemlvm-usr: Aliased to /dev/block/253:1 in device cache /dev/disk/by-id/dm-name-systemlvm-var: Aliased to /dev/block/253:0 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr25N7CRZpUMzR18NfS6zeSeAVnVT98LuU: Aliased to /dev/block/253:0 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr3TpFXtLjYGEwn79IdXsSCZPl8AxmqbmQ: Aliased to /dev/block/253:1 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvrc5MJ4KolevMjt85PPBrQuRTkXbx6NvTi: Aliased to /dev/block/253:3 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvrYXrfdg5OSYDVkNeiQeQksgCI849Z2hx8: Aliased to /dev/block/253:2 in device cache /dev/disk/by-id/md-uuid-11e9dc6c:1da99f3f:b3088ca6:c6fe60e9: Already in device cache /dev/disk/by-id/md-uuid-601d4642:39dc80d7:96e8bbac:649924ba: Already in device cache /dev/disk/by-id/md-uuid-92ed1e4b:897361d3:070682b3:3baa4fa1: Already in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895: Aliased to /dev/block/8:16 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800: Aliased to /dev/block/8:0 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0: Aliased to /dev/block/8:0 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0: Aliased to /dev/block/8:16 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-uuid/13c1262b-e06f-40ce-b088-ce410640a6dc: Aliased to /dev/block/253:3 in device cache /dev/disk/by-uuid/379f57b0-2e03-414c-808a-f76160617336: Aliased to /dev/block/253:2 in device cache /dev/disk/by-uuid/4fb2d6d3-bd51-48d3-95ee-8e404faf243d: Already in device cache /dev/disk/by-uuid/5c6728ec-82c1-49c0-93c5-f6dbd5c0d659: Aliased to /dev/block/8:5 in device cache /dev/disk/by-uuid/a13cdfcd-2191-4185-a727-ffefaf7a382e: Aliased to /dev/block/253:1 in device cache /dev/disk/by-uuid/e0d5893d-ff88-412f-b753-9e3e9af3242d: Aliased to /dev/block/8:21 in device cache /dev/disk/by-uuid/e79c9da6-8533-4e55-93ec-208876671edc: Aliased to /dev/block/253:0 in device cache /dev/disk/by-uuid/f3f176f5-12f7-4af8-952a-c6ac43a6e332: Already in device cache /dev/dm-0: Aliased to /dev/block/253:0 in device cache (preferred name) /dev/dm-1: Aliased to /dev/block/253:1 in device cache (preferred name) /dev/dm-2: Aliased to /dev/block/253:2 in device cache (preferred name) /dev/dm-3: Aliased to /dev/block/253:3 in device cache (preferred name) /dev/fd: Symbolic link to directory /dev/full: Not a block device /dev/hpet: Not a block device /dev/initctl: Not a block device /dev/input/by-path/platform-i8042-serio-0-event-kbd: Not a block device /dev/input/event0: Not a block device /dev/input/mice: Not a block device /dev/kmem: Not a block device /dev/kmsg: Not a block device /dev/log: Not a block device /dev/loop/0: Added to device cache /dev/MAKEDEV: Not a block device /dev/mapper/control: Not a block device /dev/mapper/systemlvm-home: Aliased to /dev/dm-2 in device cache /dev/mapper/systemlvm-tmp: Aliased to /dev/dm-3 in device cache /dev/mapper/systemlvm-usr: Aliased to /dev/dm-1 in device cache /dev/mapper/systemlvm-var: Aliased to /dev/dm-0 in device cache /dev/md0: Already in device cache /dev/md1: Already in device cache /dev/md2: Already in device cache /dev/mem: Not a block device /dev/net/tun: Not a block device /dev/network_latency: Not a block device /dev/network_throughput: Not a block device /dev/null: Not a block device /dev/port: Not a block device /dev/ppp: Not a block device /dev/psaux: Not a block device /dev/ptmx: Not a block device /dev/pts/0: Not a block device /dev/ram0: Aliased to /dev/block/1:0 in device cache (preferred name) /dev/ram1: Aliased to /dev/block/1:1 in device cache (preferred name) /dev/ram10: Aliased to /dev/block/1:10 in device cache (preferred name) /dev/ram11: Aliased to /dev/block/1:11 in device cache (preferred name) /dev/ram12: Aliased to /dev/block/1:12 in device cache (preferred name) /dev/ram13: Aliased to /dev/block/1:13 in device cache (preferred name) /dev/ram14: Aliased to /dev/block/1:14 in device cache (preferred name) /dev/ram15: Aliased to /dev/block/1:15 in device cache (preferred name) /dev/ram2: Aliased to /dev/block/1:2 in device cache (preferred name) /dev/ram3: Aliased to /dev/block/1:3 in device cache (preferred name) /dev/ram4: Aliased to /dev/block/1:4 in device cache (preferred name) /dev/ram5: Aliased to /dev/block/1:5 in device cache (preferred name) /dev/ram6: Aliased to /dev/block/1:6 in device cache (preferred name) /dev/ram7: Aliased to /dev/block/1:7 in device cache (preferred name) /dev/ram8: Aliased to /dev/block/1:8 in device cache (preferred name) /dev/ram9: Aliased to /dev/block/1:9 in device cache (preferred name) /dev/random: Not a block device /dev/root: Already in device cache /dev/rtc: Not a block device /dev/rtc0: Not a block device /dev/sda: Aliased to /dev/block/8:0 in device cache (preferred name) /dev/sda1: Aliased to /dev/block/8:1 in device cache (preferred name) /dev/sda2: Aliased to /dev/block/8:2 in device cache (preferred name) /dev/sda3: Aliased to /dev/block/8:3 in device cache (preferred name) /dev/sda5: Aliased to /dev/block/8:5 in device cache (preferred name) /dev/sda6: Aliased to /dev/block/8:6 in device cache (preferred name) /dev/sdb: Aliased to /dev/block/8:16 in device cache (preferred name) /dev/sdb1: Aliased to /dev/block/8:17 in device cache (preferred name) /dev/sdb2: Aliased to /dev/block/8:18 in device cache (preferred name) /dev/sdb3: Aliased to /dev/block/8:19 in device cache (preferred name) /dev/sdb5: Aliased to /dev/block/8:21 in device cache (preferred name) /dev/sdb6: Aliased to /dev/block/8:22 in device cache (preferred name) /dev/shm/network/ifstate: Not a block device /dev/snapshot: Not a block device /dev/sndstat: stat failed: Datei oder Verzeichnis nicht gefunden /dev/stderr: Not a block device /dev/stdin: Not a block device /dev/stdout: Not a block device /dev/systemlvm/home: Aliased to /dev/dm-2 in device cache /dev/systemlvm/tmp: Aliased to /dev/dm-3 in device cache /dev/systemlvm/usr: Aliased to /dev/dm-1 in device cache /dev/systemlvm/var: Aliased to /dev/dm-0 in device cache /dev/tty: Not a block device /dev/tty0: Not a block device [... many more "not a block device"] /dev/vcsa6: Not a block device /dev/xconsole: Not a block device /dev/zero: Not a block device Wiping internal VG cache lvmcache: initialised VG #orphans_lvm1 lvmcache: initialised VG #orphans_pool lvmcache: initialised VG #orphans_lvm2 Reading all physical volumes. This may take a while... Finding all volume groups /dev/ram0: Skipping (regex) /dev/loop/0: Skipping (sysfs) /dev/sda: Skipping (regex) Opened /dev/md0 RO /dev/md0: size is 192512 sectors Closed /dev/md0 /dev/md0: size is 192512 sectors Opened /dev/md0 RW O_DIRECT /dev/md0: block size is 1024 bytes Closed /dev/md0 Using /dev/md0 Opened /dev/md0 RW O_DIRECT /dev/md0: block size is 1024 bytes /dev/md0: No label detected Closed /dev/md0 /dev/dm-0: Skipping (regex) /dev/ram1: Skipping (regex) /dev/sda1: Skipping (regex) Opened /dev/md1 RO /dev/md1: size is 5863552 sectors Closed /dev/md1 /dev/md1: size is 5863552 sectors Opened /dev/md1 RW O_DIRECT /dev/md1: block size is 4096 bytes Closed /dev/md1 Using /dev/md1 Opened /dev/md1 RW O_DIRECT /dev/md1: block size is 4096 bytes /dev/md1: No label detected Closed /dev/md1 /dev/dm-1: Skipping (regex) /dev/ram2: Skipping (regex) /dev/sda2: Skipping (regex) Opened /dev/md2 RO /dev/md2: size is 303596160 sectors Closed /dev/md2 /dev/md2: size is 303596160 sectors Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes Closed /dev/md2 Using /dev/md2 Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes /dev/md2: lvm2 label detected lvmcache: /dev/md2: now in VG #orphans_lvm2 (#orphans_lvm2) /dev/md2: Found metadata at 39936 size 2632 (in area at 2048 size 194560) for systemlvm (rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr) lvmcache: /dev/md2: now in VG systemlvm with 1 mdas lvmcache: /dev/md2: setting systemlvm VGID to rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr lvmcache: /dev/md2: VG systemlvm: Set creation host to rescue. Closed /dev/md2 /dev/dm-2: Skipping (regex) /dev/ram3: Skipping (regex) /dev/sda3: Skipping (regex) /dev/dm-3: Skipping (regex) /dev/ram4: Skipping (regex) /dev/ram5: Skipping (regex) /dev/sda5: Skipping (regex) /dev/ram6: Skipping (regex) /dev/sda6: Skipping (regex) /dev/ram7: Skipping (regex) /dev/ram8: Skipping (regex) /dev/ram9: Skipping (regex) /dev/ram10: Skipping (regex) /dev/ram11: Skipping (regex) /dev/ram12: Skipping (regex) /dev/ram13: Skipping (regex) /dev/ram14: Skipping (regex) /dev/ram15: Skipping (regex) /dev/sdb: Skipping (regex) /dev/sdb1: Skipping (regex) /dev/sdb2: Skipping (regex) /dev/sdb3: Skipping (regex) /dev/sdb5: Skipping (regex) /dev/sdb6: Skipping (regex) Locking /lib/init/rw/V_systemlvm RB Finding volume group "systemlvm" Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes /dev/md2: lvm2 label detected lvmcache: /dev/md2: now in VG #orphans_lvm2 (#orphans_lvm2) with 1 mdas /dev/md2: Found metadata at 39936 size 2632 (in area at 2048 size 194560) for systemlvm (rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr) lvmcache: /dev/md2: now in VG systemlvm with 1 mdas lvmcache: /dev/md2: setting systemlvm VGID to rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr lvmcache: /dev/md2: VG systemlvm: Set creation host to rescue. Using cached label for /dev/md2 Read systemlvm metadata (19) from /dev/md2 at 39936 size 2632 /dev/md2 0: 0 16: home(0:0) /dev/md2 1: 16 24: var(40:0) /dev/md2 2: 40 40: var(0:0) /dev/md2 3: 80 40: usr(0:0) /dev/md2 4: 120 40: var(80:0) /dev/md2 5: 160 8: tmp(0:0) /dev/md2 6: 168 16: var(64:0) /dev/md2 7: 184 80: var(120:0) /dev/md2 8: 264 64: home(16:0) /dev/md2 9: 328 128: var(200:0) /dev/md2 10: 456 32: home(80:0) /dev/md2 11: 488 440: var(328:0) /dev/md2 12: 928 24: home(112:0) /dev/md2 13: 952 206: NULL(0:0) Found volume group "systemlvm" using metadata type lvm2 Read volume group systemlvm from /etc/lvm/backup/systemlvm Unlocking /lib/init/rw/V_systemlvm Closed /dev/md2 Unlocking /lib/init/rw/P_global ~# vgdisplay --- Volume group --- VG Name systemlvm System ID Format lvm2 Metadata Areas 1 Metadata Sequence No 19 VG Access read/write VG Status resizable MAX LV 0 Cur LV 4 Open LV 4 Max PV 0 Cur PV 1 Act PV 1 VG Size 144,75 GB PE Size 128,00 MB Total PE 1158 Alloc PE / Size 952 / 119,00 GB Free PE / Size 206 / 25,75 GB VG UUID rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr ~# pvdisplay --- Physical volume --- PV Name /dev/md2 VG Name systemlvm PV Size 144,77 GB / not usable 16,31 MB Allocatable yes PE Size (KByte) 131072 Total PE 1158 Free PE 206 Allocated PE 952 PV UUID ZSAzP5-iBvr-L7jy-wB8T-AiWz-0g3m-HLK66Y :~# lvdisplay --- Logical volume --- LV Name /dev/systemlvm/home VG Name systemlvm LV UUID YXrfdg-5OSY-DVkN-eiQe-Qksg-CI84-9Z2hx8 LV Write Access read/write LV Status available # open 2 LV Size 17,00 GB Current LE 136 Segments 4 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:2 --- Logical volume --- LV Name /dev/systemlvm/var VG Name systemlvm LV UUID 25N7CR-ZpUM-zR18-NfS6-zeSe-AVnV-T98LuU LV Write Access read/write LV Status available # open 2 LV Size 96,00 GB Current LE 768 Segments 7 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:0 --- Logical volume --- LV Name /dev/systemlvm/usr VG Name systemlvm LV UUID 3TpFXt-LjYG-Ewn7-9IdX-sSCZ-Pl8A-xmqbmQ LV Write Access read/write LV Status available # open 2 LV Size 5,00 GB Current LE 40 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:1 --- Logical volume --- LV Name /dev/systemlvm/tmp VG Name systemlvm LV UUID c5MJ4K-olev-Mjt8-5PPB-rQuR-TkXb-x6NvTi LV Write Access read/write LV Status available # open 2 LV Size 1,00 GB Current LE 8 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:3

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• trying to use mod_proxy with httpd and tomcat

  - by techsjs2012

  I been trying to use mod_proxy with httpd and tomcat... I have on VirtualBox running Scientific Linux which has httpd and tomcat 6 on it.. I made two nodes of tomcat6. I followed this guide like 10 times and still cant get the 2nd node of tomcat working.. http://www.richardnichols.net/2010/08/5-minute-guide-clustering-apache-tomcat/ Here is the lines from my http.conf file <Proxy balancer://testcluster stickysession=JSESSIONID> BalancerMember ajp://127.0.0.1:8009 min=10 max=100 route=node1 loadfactor=1 BalancerMember ajp://127.0.0.1:8109 min=10 max=100 route=node2 loadfactor=1 </Proxy> ProxyPass /examples balancer://testcluster/examples <Location /balancer-manager> SetHandler balancer-manager AuthType Basic AuthName "Balancer Manager" AuthUserFile "/etc/httpd/conf/.htpasswd" Require valid-user </Location> Now here is my server.xml from node1 <?xml version='1.0' encoding='utf-8'?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <!-- Note: A "Server" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/server.html --> <Server port="8005" shutdown="SHUTDOWN"> <!--APR library loader. Documentation at /docs/apr.html --> <Listener className="org.apache.catalina.core.AprLifecycleListener" SSLEngine="on" /> <!--Initialize Jasper prior to webapps are loaded. Documentation at /docs/jasper-howto.html --> <Listener className="org.apache.catalina.core.JasperListener" /> <!-- Prevent memory leaks due to use of particular java/javax APIs--> <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener" /> <!-- JMX Support for the Tomcat server. Documentation at /docs/non-existent.html --> <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener" /> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener" /> <!-- Global JNDI resources Documentation at /docs/jndi-resources-howto.html --> <GlobalNamingResources> <!-- Editable user database that can also be used by UserDatabaseRealm to authenticate users --> <Resource name="UserDatabase" auth="Container" type="org.apache.catalina.UserDatabase" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" pathname="conf/tomcat-users.xml" /> </GlobalNamingResources> <!-- A "Service" is a collection of one or more "Connectors" that share a single "Container" Note: A "Service" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/service.html --> <Service name="Catalina"> <!--The connectors can use a shared executor, you can define one or more named thread pools--> <!-- <Executor name="tomcatThreadPool" namePrefix="catalina-exec-" maxThreads="150" minSpareThreads="4"/> --> <!-- A "Connector" represents an endpoint by which requests are received and responses are returned. Documentation at : Java HTTP Connector: /docs/config/http.html (blocking & non-blocking) Java AJP Connector: /docs/config/ajp.html APR (HTTP/AJP) Connector: /docs/apr.html Define a non-SSL HTTP/1.1 Connector on port 8080 <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- A "Connector" using the shared thread pool--> <!-- <Connector executor="tomcatThreadPool" port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- Define a SSL HTTP/1.1 Connector on port 8443 This connector uses the JSSE configuration, when using APR, the connector should be using the OpenSSL style configuration described in the APR documentation --> <!-- <Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true" maxThreads="150" scheme="https" secure="true" clientAuth="false" sslProtocol="TLS" /> --> <!-- Define an AJP 1.3 Connector on port 8009 --> <Connector port="8009" protocol="AJP/1.3" redirectPort="8443" /> <!-- An Engine represents the entry point (within Catalina) that processes every request. The Engine implementation for Tomcat stand alone analyzes the HTTP headers included with the request, and passes them on to the appropriate Host (virtual host). Documentation at /docs/config/engine.html --> <!-- You should set jvmRoute to support load-balancing via AJP ie : <Engine name="Catalina" defaultHost="localhost" jvmRoute="jvm1"> --> <Engine name="Catalina" defaultHost="localhost" jvmRoute="node1"> <!--For clustering, please take a look at documentation at: /docs/cluster-howto.html (simple how to) /docs/config/cluster.html (reference documentation) --> <!-- <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> --> <!-- The request dumper valve dumps useful debugging information about the request and response data received and sent by Tomcat. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.RequestDumperValve"/> --> <!-- This Realm uses the UserDatabase configured in the global JNDI resources under the key "UserDatabase". Any edits that are performed against this UserDatabase are immediately available for use by the Realm. --> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> <!-- Define the default virtual host Note: XML Schema validation will not work with Xerces 2.2. --> <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true" xmlValidation="false" xmlNamespaceAware="false"> <!-- SingleSignOn valve, share authentication between web applications Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.authenticator.SingleSignOn" /> --> <!-- Access log processes all example. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="common" resolveHosts="false"/> --> </Host> </Engine> </Service> </Server> now here is the server.xml file from node2 <?xml version='1.0' encoding='utf-8'?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <!-- Note: A "Server" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/server.html --> <Server port="8105" shutdown="SHUTDOWN"> <!--APR library loader. Documentation at /docs/apr.html --> <Listener className="org.apache.catalina.core.AprLifecycleListener" SSLEngine="on" /> <!--Initialize Jasper prior to webapps are loaded. Documentation at /docs/jasper-howto.html --> <Listener className="org.apache.catalina.core.JasperListener" /> <!-- Prevent memory leaks due to use of particular java/javax APIs--> <Listener className="org.apache.catalina.core.JreMemoryLeakPreventionListener" /> <!-- JMX Support for the Tomcat server. Documentation at /docs/non-existent.html --> <Listener className="org.apache.catalina.mbeans.ServerLifecycleListener" /> <Listener className="org.apache.catalina.mbeans.GlobalResourcesLifecycleListener" /> <!-- Global JNDI resources Documentation at /docs/jndi-resources-howto.html --> <GlobalNamingResources> <!-- Editable user database that can also be used by UserDatabaseRealm to authenticate users --> <Resource name="UserDatabase" auth="Container" type="org.apache.catalina.UserDatabase" description="User database that can be updated and saved" factory="org.apache.catalina.users.MemoryUserDatabaseFactory" pathname="conf/tomcat-users.xml" /> </GlobalNamingResources> <!-- A "Service" is a collection of one or more "Connectors" that share a single "Container" Note: A "Service" is not itself a "Container", so you may not define subcomponents such as "Valves" at this level. Documentation at /docs/config/service.html --> <Service name="Catalina"> <!--The connectors can use a shared executor, you can define one or more named thread pools--> <!-- <Executor name="tomcatThreadPool" namePrefix="catalina-exec-" maxThreads="150" minSpareThreads="4"/> --> <!-- A "Connector" represents an endpoint by which requests are received and responses are returned. Documentation at : Java HTTP Connector: /docs/config/http.html (blocking & non-blocking) Java AJP Connector: /docs/config/ajp.html APR (HTTP/AJP) Connector: /docs/apr.html Define a non-SSL HTTP/1.1 Connector on port 8080 <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- A "Connector" using the shared thread pool--> <!-- <Connector executor="tomcatThreadPool" port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> --> <!-- Define a SSL HTTP/1.1 Connector on port 8443 This connector uses the JSSE configuration, when using APR, the connector should be using the OpenSSL style configuration described in the APR documentation --> <!-- <Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true" maxThreads="150" scheme="https" secure="true" clientAuth="false" sslProtocol="TLS" /> --> <!-- Define an AJP 1.3 Connector on port 8009 --> <Connector port="8109" protocol="AJP/1.3" redirectPort="8443" /> <!-- An Engine represents the entry point (within Catalina) that processes every request. The Engine implementation for Tomcat stand alone analyzes the HTTP headers included with the request, and passes them on to the appropriate Host (virtual host). Documentation at /docs/config/engine.html --> <!-- You should set jvmRoute to support load-balancing via AJP ie : <Engine name="Catalina" defaultHost="localhost" jvmRoute="jvm1"> --> <Engine name="Catalina" defaultHost="localhost" jvmRoute="node2"> <!--For clustering, please take a look at documentation at: /docs/cluster-howto.html (simple how to) /docs/config/cluster.html (reference documentation) --> <!-- <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster"/> --> <!-- The request dumper valve dumps useful debugging information about the request and response data received and sent by Tomcat. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.RequestDumperValve"/> --> <!-- This Realm uses the UserDatabase configured in the global JNDI resources under the key "UserDatabase". Any edits that are performed against this UserDatabase are immediately available for use by the Realm. --> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> <!-- Define the default virtual host Note: XML Schema validation will not work with Xerces 2.2. --> <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true" xmlValidation="false" xmlNamespaceAware="false"> <!-- SingleSignOn valve, share authentication between web applications Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.authenticator.SingleSignOn" /> --> <!-- Access log processes all example. Documentation at: /docs/config/valve.html --> <!-- <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="common" resolveHosts="false"/> --> </Host> </Engine> </Service> </Server> I dont know what it is. but I been trying for days

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• SQL SERVER – Disable Clustered Index and Data Insert

  - by pinaldave

  Earlier today I received following email. “Dear Pinal, [Removed unrelated content] We looked at your script and found out that in your script of disabling indexes, you have only included non-clustered index during the bulk insert and missed to disabled all the clustered index. Our DBA[name removed] has changed your script a bit and included all the clustered indexes. Since our application is not working. When DBA [name removed] tried to enable clustered indexes again he is facing error incorrect syntax error. We are in deep problem [word replaced] [Removed Identity of organization and few unrelated stuff ]“ I have replied to my client and helped them fixed the problem. What really came to my attention is the concept of disabling clustered index. Let us try to learn a lesson from this experience. In this case, there was no need to disable clustered index at all. I had done necessary work when I was called in to work on tuning project. I had removed unused indexes, created few optimal indexes and wrote a script to disable few selected high cost indexes when bulk insert (and similar) operations are performed. There was another script which rebuild all the indexes as well. The solution worked till they included clustered index in disabling the script. Clustered indexes are in fact original table (or heap) physically ordered (any more things – not scope of this article) according to one or more keys(columns). When clustered index is disabled data rows of the disabled clustered index cannot be accessed. This means there will be no insert possible. When non clustered indexes are disabled all the data related to physically deleted but the definition of the index is kept in the system. Due to the same reason even reorganization of the index is not possible till the clustered index (which was disabled) is rebuild. Now let us come to the second part of the question, regarding receiving the error when clustered index is ‘enabled’. This is very common question I receive on the blog. (The following statement is written keeping the syntax of T-SQL in mind) Clustered indexes can be disabled but can not be enabled, they have to rebuild. It is intuitive to think that something which we have ‘disabled’ can be ‘enabled’ but the syntax for the same is ‘rebuild’. This issue has been explained here: SQL SERVER – How to Enable Index – How to Disable Index – Incorrect syntax near ‘ENABLE’. Let us go over this example where inserting the data is not possible when clustered index is disabled. USE AdventureWorks GO -- Create Table CREATE TABLE [dbo].[TableName]( [ID] [int] NOT NULL, [FirstCol] [varchar](50) NULL, CONSTRAINT [PK_TableName] PRIMARY KEY CLUSTERED ([ID] ASC) ) GO -- Create Nonclustered Index CREATE UNIQUE NONCLUSTERED INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] ([FirstCol] ASC) GO -- Populate Table INSERT INTO [dbo].[TableName] SELECT 1, 'First' UNION ALL SELECT 2, 'Second' UNION ALL SELECT 3, 'Third' GO -- Disable Nonclustered Index ALTER INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 4, 'Fourth' UNION ALL SELECT 5, 'Fifth' GO -- Disable Clustered Index ALTER INDEX [PK_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data will fail INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO /* Error: Msg 8655, Level 16, State 1, Line 1 The query processor is unable to produce a plan because the index 'PK_TableName' on table or view 'TableName' is disabled. */ -- Reorganizing Index will also throw an error ALTER INDEX [PK_TableName] ON [dbo].[TableName] REORGANIZE GO /* Error: Msg 1973, Level 16, State 1, Line 1 Cannot perform the specified operation on disabled index 'PK_TableName' on table 'dbo.TableName'. */ -- Rebuliding should work fine ALTER INDEX [PK_TableName] ON [dbo].[TableName] REBUILD GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO -- Clean Up DROP TABLE [dbo].[TableName] GO I hope this example is clear enough. There were few additional posts I had written years ago, I am listing them here. SQL SERVER – Enable and Disable Index Non Clustered Indexes Using T-SQL SQL SERVER – Enabling Clustered and Non-Clustered Indexes – Interesting Fact Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Constraint and Keys, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• SQL SERVER – History of SQL Server Database Encryption

  - by pinaldave

  I recently met Michael Coles and Rodeney Landrum the author of one of the kind book Expert SQL Server 2008 Encryption at SQLPASS in Seattle. During the conversation we ended up how Microsoft is evolving encryption technology. The same discussion lead to talking about history of encryption tools in SQL Server. Michale pointed me to page 18 of his book of encryption. He explicitly give me permission to re-produce relevant part of history from his book. Encryption in SQL Server 2000 Built-in cryptographic encryption functionality was nonexistent in SQL Server 2000 and prior versions. In order to get server-side encryption in SQL Server you had to resort to purchasing or creating your own SQL Server XPs. Creating your own cryptographic XPs could be a daunting task owing to the fact that XPs had to be compiled as native DLLs (using a language like C or C++) and the XP application programming interface (API) was poorly documented. In addition there were always concerns around creating wellbehaved XPs that “played nicely” with the SQL Server process. Encryption in SQL Server 2005 Prior to the release of SQL Server 2005 there was a flurry of regulatory activity in response to accounting scandals and attacks on repositories of confidential consumer data. Much of this regulation centered onthe need for protecting and controlling access to sensitive financial and consumer information. With the release of SQL Server 2005 Microsoft responded to the increasing demand for built-in encryption byproviding the necessary tools to encrypt data at the column level. This functionality prominently featured the following: Support for column-level encryption of data using symmetric keys or passphrases. Built-in access to a variety of symmetric and asymmetric encryption algorithms, including AES, DES, Triple DES, RC2, RC4, and RSA. Capability to create and manage symmetric keys. Key creation and management. Ability to generate asymmetric keys and self-signed certificates, or to install external asymmetric keys and certificates. Implementation of hierarchical model for encryption key management, similar to the ANSI X9.17 standard model. SQL functions to generate one-way hash codes and digital signatures, including SHA-1 and MD5 hashes. Additional SQL functions to encrypt and decrypt data. Extensions to the SQL language to support creation, use, and administration of encryption keys and certificates. SQL CLR extensions that provide access to .NET-based encryption functionality. Encryption in SQL Server 2008 Encryption demands have increased over the past few years. For instance, there has been a demand for the ability to store encryption keys “off-the-box,” physically separate from the database and the data it contains. Also there is a recognized requirement for legacy databases and applications to take advantage of encryption without changing the existing code base. To address these needs SQL Server 2008 adds the following features to its encryption arsenal: Transparent Data Encryption (TDE): Allows you to encrypt an entire database, including log files and the tempdb database, in such a way that it is transparent to client applications. Extensible Key Management (EKM): Allows you to store and manage your encryption keys on an external device known as a hardware security module (HSM). Cryptographic random number generation functionality. Additional cryptography-related catalog views and dynamic management views. SQL language extensions to support the new encryption functionality. The encryption book covers all the tools in its various chapter in one simple story. If you are interested how encryption evolved and reached to the stage where it is today, this book is must for everyone. You can read my earlier review of the book over here. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Book Review, SQLAuthority News, T SQL, Technology Tagged: Encryption, SQL Server Encryption, SQLPASS

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• Automating XNA Performance Testing?

  - by Grofit

  I was wondering what peoples approaches or thoughts were on automating performance testing in XNA. Currently I am looking at only working in 2d, but that poses many areas where performance can be improved with different implementations. An example would be if you had 2 different implementations of spatial partitioning, one may be faster than another but without doing some actual performance testing you wouldn't be able to tell which one for sure (unless you saw the code was blatantly slow in certain parts). You could write a unit test which for a given time frame kept adding/updating/removing entities for both implementations and see how many were made in each timeframe and the higher one would be the faster one (in this given example). Another higher level example would be if you wanted to see how many entities you can have on the screen roughly without going beneath 60fps. The problem with this is to automate it you would need to use the hidden form trick or some other thing to kick off a mock game and purely test which parts you care about and disable everything else. I know that this isnt a simple affair really as even if you can automate the tests, really it is up to a human to interpret if the results are performant enough, but as part of a build step you could have it run these tests and publish the results somewhere for comparison. This way if you go from version 1.1 to 1.2 but have changed a few underlying algorithms you may notice that generally the performance score would have gone up, meaning you have improved your overall performance of the application, and then from 1.2 to 1.3 you may notice that you have then dropped overall performance a bit. So has anyone automated this sort of thing in their projects, and if so how do you measure your performance comparisons at a high level and what frameworks do you use to test? As providing you have written your code so its testable/mockable for most parts you can just use your tests as a mechanism for getting some performance results... === Edit === Just for clarity, I am more interested in the best way to make use of automated tests within XNA to track your performance, not play testing or guessing by manually running your game on a machine. This is completely different to seeing if your game is playable on X hardware, it is more about tracking the change in performance as your game engine/framework changes. As mentioned in one of the comments you could easily test "how many nodes can I insert/remove/update within QuadTreeA within 2 seconds", but you have to physically look at these results every time to see if it has changed, which may be fine and is still better than just relying on playing it to see if you notice any difference between version. However if you were to put an Assert in to notify you of a fail if it goes lower than lets say 5000 in 2 seconds you have a brittle test as it is then contextual to the hardware, not just the implementation. Although that being said these sort of automated tests are only really any use if you are running your tests as some sort of build pipeline i.e: Checkout - Run Unit Tests - Run Integration Tests - Run Performance Tests - Package So then you can easily compare the stats from one build to another on the CI server as a report of some sort, and again this may not mean much to anyone if you are not used to Continuous Integration. The main crux of this question is to see how people manage this between builds and how they find it best to report upon. As I said it can be subjective but as knowledge will be gained from the answers it seems a worthwhile question.

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• Clean Code: A Handbook of Agile Software Craftsmanship – book review

  - by DigiMortal

     Writing code that is easy read and test is not something that is easy to achieve. Unfortunately there are still way too much programming students who write awful spaghetti after graduating. But there is one really good book that helps you raise your code to new level – your code will be also communication tool for you and your fellow programmers. “Clean Code: A Handbook of Agile Software Craftsmanship” by Robert C. Martin is excellent book that helps you start writing the easily readable code. Of course, you are the one who has to learn and practice but using this book you have very good guide that keeps you going to right direction. You can start writing better code while you read this book and you can do it right in your current projects – you don’t have to create new guestbook or some other simple application to start practicing. Take the project you are working on and start making it better! My special thanks to Robert C. Martin I want to say my special thanks to Robert C. Martin for this book. There are many books that teach you different stuff and usually you have markable learning curve to go before you start getting results. There are many books that show you the direction to go and then leave you alone figuring out how to achieve all that stuff you just read about. Clean Code gives you a lot more – the mental tools to use so you can go your way to clean code being sure you will be soon there. I am reading books as much as I have time for it. Clean Code is top-level book for developers who have to write working code. Before anything else take Clean Code and read it. You will never regret your decision. I promise. Fragment of editorial review “Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way. What kind of work will you be doing? You’ll be reading code—lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft. Readers will come away from this book understanding How to tell the difference between good and bad code How to write good code and how to transform bad code into good code How to create good names, good functions, good objects, and good classes How to format code for maximum readability How to implement complete error handling without obscuring code logic How to unit test and practice test-driven development This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.” Table of contents Clean code Meaningful names Functions Comments Formatting Objects and data structures Error handling Boundaries Unit tests Classes Systems Emergence Concurrency Successive refinement JUnit internals Refactoring SerialDate Smells and heuristics A Concurrency II org.jfree.date.SerialDate Cross references of heuristics Epilogue Index

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• Spending the summer at camp… Web Camp, that is

  - by Jon Galloway

  Microsoft is sponsoring a series of Web Camps this summer. They’re a series of free two day events being held worldwide, and I’m really excited about being taking part. The camp is targeted at a broad range of developer background and experience. Content builds from 101 level introductory material to 200-300 level coverage, but we hit some advanced bits (e.g. MVC 2 features, jQuery templating, IIS 7 features, etc.) that advanced developers may not yet have seen. We start with a lap around ASP.NET & Web Forms, then move on to building and application with ASP.NET MVC 2, jQuery, and Entity Framework 4, and finally deploy to IIS. I got to spend some time working with James before the first Web Camp refining the content, and I think he’s packed about as much goodness into the time available as is scientifically possible. The content is really code focused – we start with File/New Project and spend the day building a real, working application. The second day of the Web Camp provides attendees an opportunity to get hands on. There are two options: Join a team and build an application of your choice Work on a lab or tutorial James Senior and I kicked off the fun with the first Web Camp in Toronto a few weeks ago. It was sold out, lots of fun, and by all accounts a great way to spend two days. I’m really enthusiastic about the format. Rather than just listening to speakers and then forgetting everything in a few days, attendees actually build something of their choice. They get an opportunity to pitch projects they’re interested in, form teams, and build it – getting experience with “real world” problems, with all the help they need from experienced developers. James got help on the second day practical part from the good folks that run Startup Weekend. Startup Weekend is a fantastic program that gathers developers together to build cool apps in a weekend, so their input on how to organize successful teams for weekend projects was invaluable. Nick Seguin joined us in Toronto, and in addition to making sure that everything flowed smoothly, he just added a lot of fun and excitement to the event, reminding us all about how much fun it is to come up with a cool idea and just build it. In addition to the Toronto camp, I’ll be at the Mountain View, London, Munich, and New York camps over the next month. London is sold out, but the rest still have space available, so come join us! Here’s the full list, with the ones I’ll be at bolded because - you know - it’s my blog. The the whole speaker list is great, including Scott Guthrie, Scott Hanselman, James Senior, Rachel Appel, Dan Wahlin, and Christian Wenz. Toronto May 7-8 (James Senior and I were thrown out on our collective ears) Moscow May 19 Beijing May 21-22 Shanghai May 24-25 Mountain View May 27-28 (I’m speaking with Rachel Appel) Sydney May 28-29 Singapore June 04-05 London June 04-05 (I’m speaking with Christian Wenz – SOLD OUT) Munich June 07-08 (I’m speaking with Christian Wenz) Chicago June 11-12 Redmond, WA June 18-19 New York June 25-26 (I’m speaking with Dan Wahlin) Come say hi!

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• Silverlight Firestarter thoughts, and thanks to one and all!

  - by Dave Campbell

  A few metrics that of course got out of hand, but some may find interesting:   1/2 My share of the MVP of the Year award in February of 2009 with Laurent Bugnion 2 Number of degrees I hold: B.S., M.S. Electrical Engineering 3 Number of years in the U.S. Army 3.5 Number of years SilverlighCream has been posted 4 Number of times awarded MVP 6 Number of professional positions I've worked: Antenna Rigger, Boilermaker, Musician, Electronic Technician, Hardware Engineer, Software Engineer 16 Number of companies I've worked for during my career as an Engineer 19 Age at which I turned my first line of code 28 Age at which I hit the workforce as an Engineer 33 Number of years working as an Engineer 43 Number of years writing code 62 Number of years since instantiation 116 Number of tags to search SilverlightCream with 645 Number of blogs I view to find articles (at this moment) 664 Number of articles tagged wp7dev at SilverlightCream right now 700 Number of Twitter followers for WynApse 981 Number of individual bloggers in the SilverlightCream database 1002 Number of SilverlightCream blogposts 1100 Number of people live in Redmond for the Firestarter (I think) 1428 Number of total blogposts at GeeksWithBlogs (not counting this one) 4200 Number of Feedburner subscribers (approximately) 6500 Number of Twitter followers for SilverlightNews (approximately) 7087 Number of posts tagged and aggregated at SilverlightCream right now 13000 Number of people registered to watch the Firestarter online (I think) The overwhelming feeling I have returning from the Silverlight Firestarter: Priceless There is absolutely no way that I could personally thank everyone that over the last few years has held their hand out and offered me a step up to get to the point that Scott Guthrie called me out in his keynote. So I'm just going to hit the highlights here... Scott Guthrie Thanks for not only being the level you are at Microsoft, but for being so approachable, easy to talk to, willing to help everyone, and above all knowledgable. My first level manager at my last position asked if Visual Studio was a graphics program... and you step up to a laptop at a conference and type "File->New Program" ... 'nuff said... oh yeah, thanks for the shoutout! John Papa Thanks for being a good friend, ramroding the Firestarter, being a great guy to be around, and for the poster... holy crap is that cool. Tim Heuer Thanks for all you did as a great DE in Phoenix, and for helping out so many of us, of course being a great guy, and for the poster as well... I think you and John shared that task. In no order at all my buddy Michael Washington, Laurent Bugnion (the other half of the first Silverlight MVP of the Year) Tim Sneath, Mike Harsh, Chad Campbell and Bryant Likes (from back in the day), Adam Kinney, Jesse Liberty, Jeff Paries, Pete Brown, András Velvárt, David Kelly, Michael Palermo, Scott Cate, Erik Mork, and on and on... don't feel bad if your name didn't appear, I have simply too many supporters to name. Silverlight Firestarter Indeed All the people mentioned here, and all the MVPs knew Silverlight was NOT dead, but because of a very unfortunate circumstance, the popular media opinion became that. Consequently the Firestarter exploded from a laid-back event to a global conference. People worked their ass off getting bits ready and presentations using those bits. All to stem the flow of misinformation. All involved please accept my personal thanks for an absolutely awesome job. I had the priviledge of watching the 'prep' on Wednesday afternoon, and was blown away the first time I saw the 3D demo... and have been blown away every time I've seen it since. Not to mention all the other goodness in Silverlight 5. Yes I hit 1000 on my blog, but more importantly, all of you are blogging and using Silverlight, and Microsoft hit one completely out of the park... no... they knocked it out of the neighborhood with the Firestarter. It was amazing to be there for it, and it will be awesome to use the new bits as we get them. Keep reading, there's tons more to come with Silverlight and SilverlightCream following along behind. As usual, this old hacker is humbled to be allowed to play with all the cool kids... Thanks one and all for everything, and Stay in the 'Light

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• List of Upcoming Appearances

  - by Chris Gardner

  Greetings. I know I have been in work sponsored hiding lately. We are working furiously on a beta project to secure a contract, and I can't really talk about it yet. Hopefully, the contracts will be soon signed. Not only will we then have money, but I can talk about all this really cool tech with which I have been playing. However, since the contract is not signed, I need to bring you people up to date with where I will be during the summer. Let's face it, you can't be a speaker / blogger without pandering to shameless self-promotion. First, I will, once again, be staffing the Hands-on-Labs at TechEd North America. Unfortunately, TechEd North America is already sold out for this year. However, if you're already going, drop by the labs and say Hi. Also, keep an eye on Twitter to track me throughout the event. Also, look for a post in a few hours with my specific picks for what content I'm looking forward to seeing this year. Immediately following TechEd North America, I will be flying into Knoxville to speak at CodeStock. I will be presenting my introduction and intermediate Xbox 360 development talks. There are a TON of great content at CodeStock this year, but there are only about 50 tickets left. After that whirlwind of work, things settle for awhile. That means I'm available to speak at your User Group, luncheon, bowling league, birthday party, anniversary, or bat mitzvah. Mid August brings us to That Conference. This one is going to be a blast. If you haven't heard of That Conference yet, you should really check it out. This will also be my introduction and intermediate Xbox 360 development talks. This is a new conference, and it looks like it will be a great one. Finally, we will turn our attention to DevLink. DevLink has the distinction of picking up my newest talk, Creating Stereoscopic 3D Graphics in XNA. On top of that, I'm giving an general Xbox 360 and Windows Phone 7 talk. DevLink has added an new "XNA and Kinect" track, so there will me a ton of great game content. That should bring us through the summer. As I solidify the Stereoscopic talk, look for some content on that to creep up on here. I will say it's the first topic I've played around with that is easier in 3D than 2D. Also, the organizers of Alabama Code Camp are still trying to reschedule the event. When that happens, I'll get that information out. Also, we are looking to expand our development team. If you are interested in working for / with me, keep an eye on the T & W Operations website. I know we're immediately looking for a junior level developer, but I think a few higher level position may come up soon. You MUST apply through the website, but drop me a personal line if you do apply. I'll keep an eye out for the application.

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• Using NServiceBus behind a custom web service

  - by Michael Stephenson

  In this post I'd like to talk about an architecture scenario we had recently and how we were able to utilise NServiceBus to help us address this problem. Scenario Cognos is a reporting system used by one of my clients. A while back we developed a web service façade to allow line of business applications to be able to access reports from Cognos to support their various functions. The service was intended to provide access to reports which were quick running reports or pre-generated reports which could be accessed real-time on demand. One of the key aims of the web service was to provide a simple generic interface to allow applications to get any report without needing to worry about the complex .net SDK for Cognos. The web service also supported multi-hop kerberos delegation so that report data could be accesses under the context of the end user. This service was working well for a period of time. The Problem The problem we encountered was that reports were now also required to be available to batch processes. The original design was optimised for low latency so users would enjoy a positive experience, however when the batch processes started to request 250+ concurrent reports over an extended period of time you can begin to imagine the sorts of problems that come into play. The key problems this new scenario caused are: Users may be affected and the latency of on demand reports was significantly slower The Cognos infrastructure was not scaled sufficiently to be able to cope with these long peaks of load From a cost perspective it just isn't feasible to scale the Cognos infrastructure to be able to handle the load when it is only for a couple of hour window each night. We really needed to introduce a second pattern for accessing this service which would support high through-put scenarios. We also had little control over the batch process in terms of being able to throttle its load. We could however make some changes to the way it accessed the reports. The Approach My idea was to introduce a throttling mechanism between the Web Service Façade and Cognos. This would allow the batch processes to push reports requests hard at the web service which we were confident the web service can handle. The web service would then queue these requests and process them behind the scenes and make a call back to the batch application to provide the report once it had been accessed. In terms of technology we had some limitations because we were not able to use WCF or IIS7 where the MSMQ-Activated WCF services could have helped, but we did have MSMQ as an option and I thought NServiceBus could do just the job to help us here. The flow of how this would work was as follows: The batch applications would send a request for a report to the web service The web service uses NServiceBus to send the message to a Queue The NServiceBus Generic Host is running as a windows service with a message handler which subscribes to these messages The message handler gets the message, accesses the report from Cognos The message handler calls back to the original batch application, this is decoupled because the calling application provides a call back url The report gets into the batch application and is processed as normal This approach looks something like the below diagram: The key points are an application wanting to take advantage of the batch driven reports needs to do the following: Implement our call back contract Make a call to the service providing a call back url Provide a correlation ID so it knows how to tie each response back to its request What does NServiceBus offer in this solution So this scenario is not the typical messaging service bus type of solution people implement with NServiceBus, but it did offer the following: Simplified interaction with MSMQ Offered the ability to configure the number of processes working through the queue so we could find a balance between load on Cognos versus the applications end to end processing time NServiceBus offers retries and a way to manage failed messages NServiceBus offers a high availability setup The simple thing is that NServiceBus gave us the platform to build the solution on. We just implemented a message handler which functionally processed a message and we could rely on NServiceBus to do all of the hard work around managing the queues and all of the lower level things that would have took ages to write to any kind of robust level. Conclusion With this approach we were able to deal with a fairly significant performance issue with out too much rework. Hopefully this write up gives people some insight into ideas on how to leverage the excellent NServiceBus framework to help solve integration and high through-put scenarios.

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• Oracle Enterprise Manager 11g is Here!

  - by chung.wu

  We hope that you enjoyed the launch event. If you missed it, you may still watch it via our on demand webcast, which is being produced and will be posted very shortly. 11gR1 is a major release of Oracle Enterprise Manager, and as one would expect from a big release, there are many new capabilities that appeal to a broad set of audience. Before going into the laundry list of new features, let's talk about the key themes for this release to put things in perspective. First, this release is about Business Driven Application Management. The traditional paradigm of component centric systems management simply cannot satisfy the management needs of modern distributed applications, as they do not provide adequate visibility of whether these applications are truly meeting the service level expectations of the business users. Business Driven Application Management helps IT manage applications according to the needs of the business users so that valuable IT resources can be better focused to help deliver better business results. To support Business Driven Application Management, 11gR1 builds on the work that we started in 10g to provide better support for user experience management. This capability helps IT better understand how users use applications and the experience that the applications provide so that IT can take actions to help end users get their work done more effectively. In addition, this release also delivers improved business transaction management capabilities to make it faster and easier to understand and troubleshoot transaction problems that impact end user experience. Second, this release includes strengthened Integrated Application-to-Disk Management. Every component of an application environment, from the application logic to the application server, to database, host machines and storage devices, etc... can affect end user experience. After user experience improvement needs are identified, IT needs tools that can be used do deep dive diagnostics for each of the application environment component, analyze configurations and deploy changes. Enterprise Manager 11gR1 extends coverage of key application environment components to include full support for Oracle Database 11gR2, Exadata V2, and Fusion Middleware 11g. For composite and Java application management, two key pieces of technologies, JVM Diagnostic and Composite Application Monitoring and Modeler, are now fully integrated into Enterprise Manager so there is no need to install and maintain separate tools. In addition, we have delivered the first set of integration between Enterprise Manager Grid Control and Enterprise Manager Ops Center so that hardware level events can be centrally monitored via Grid Control. Finally, this release delivers Integrated Systems Management and Support for customers of Oracle technologies. Traditionally, systems management tools and tech support were separate silos. When problems occur, administrators used internally deployed tools to try to solve the problems themselves. If they couldn't fix the problems, then they would use some sort of support website to get help from the vendor's support staff. Oracle Enterprise Manager 11g integrates problem diagnostic and remediation workflow. Administrators can use Oracle Enterprise Manager's various diagnostic tools to begin the troubleshooting process. They can also use the integrated access to My Oracle Support to look up solutions and download software patches. If further help is needed, administrators can open service requests from right within Oracle Enterprise Manager and track status update. Oracle's support staff, using Enterprise Manager's configuration management capabilities, can collect important configuration information about customer environments in order to expedite problem resolution. This tight integration between Oracle Enterprise Manager and My Oracle Support helps Oracle customers achieve a Superior Ownership Experience for their Oracle products. So there you have it. This is a brief 50,000 feet overview of Oracle Enterprise Manager 11g. We know you are hungry for the details. We are going to write about it in the coming days and weeks. For those of you that absolutely can't wait to find out more, you may download our software to try it out today. In fact, for the first time ever, the initial release of Oracle Enterprise Manager is available for both 32 and 64 bit Linux. Additional O/S ports will arrive in the coming weeks. Please stay tuned on the Oracle Enterprise Manager blog for additional updates.

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• Clustering for Mere Mortals (Pt2)

  - by Geoff N. Hiten

  Planning. I could stop there and let that be the entirety post #2 in this series.  Planning is the single most important element in building a cluster and the Laptop Demo Cluster is no exception.  One of the more awkward parts of actually creating a cluster is coordinating information between Windows Clustering and SQL Clustering.  The dialog boxes show up hours apart, but still have to have matching and consistent information. Excel seems to be a good tool for tracking these settings.  My workbook has four pages: Systems, Storage, Network, and Service Accounts.  The systems page looks like this:   Name Role Software Location East Physical Cluster Node 1 Windows Server 2008 R2 Enterprise Laptop VM West Physical Cluster Node 2 Windows Server 2008 R2 Enterprise Laptop VM North Physical Cluster Node 3 (Future Reserved) Windows Server 2008 R2 Enterprise Laptop VM MicroCluster Cluster Management Interface N/A Laptop VM SQL01 High-Performance High-Security Instance SQL Server 2008 Enterprise Edition x64 SP1 Laptop VM SQL02 High-Performance Standard-Security Instance SQL Server 2008 Enterprise Edition x64 SP1 Laptop VM SQL03 Standard-Performance High-Security Instance SQL Server 2008 Enterprise Edition x64 SP1 Laptop VM Note that everything that has a computer name is listed here, whether physical or virtual. Storage looks like this: Storage Name Instance Purpose Volume Path Size (GB) LUN ID Speed Quorum MicroCluster Cluster Quorum Quorum Q: 2     SQL01Anchor SQL01 Instance Anchor SQL01Anchor L: 2     SQL02Anchor SQL02 Instance Anchor SQL02Anchor M: 2     SQL01Data1 SQL01 SQL Data SQL01Data1 L:\MountPoints\SQL01Data1 2     SQL02Data1 SQL02 SQL Data SQL02Data1 M:\MountPoints\SQL02Data1       Starting at the left is the name used in the storage array.  It is important to rename resources at each level, whether it is Storage, LUN, Volume, or disk folder.  Otherwise, troubleshooting things gets complex and difficult.  You want to be able to glance at a resource at any level and see where it comes from and what it is connected to. Networking is the same way:   System Network VLAN  IP Subnet Mask Gateway DNS1 DNS2 East Public Cluster1 10.97.230.x(DHCP) 255.255.255.0 10.97.230.1 10.97.230.1 10.97.230.1 East Heartbeat Cluster2   255.255.255.0       West Public Cluster1 10.97.230.x(DHCP) 255.255.255.0 10.97.230.1 10.97.230.1 10.97.230.1 West Heartbeat Cluster2   255.255.255.0       North Public Cluster1 10.97.230.x(DHCP) 255.255.255.0 10.97.230.1 10.97.230.1 10.97.230.1 North Heartbeat Cluster2   255.255.255.0       SQL01 Public Cluster1 10.97.230.x(DHCP) 255.255.255.0       SQL02 Public Cluster1 10.97.230.x(DHCP) 255.255.255.0       One hallmark of a poorly planned and implemented cluster is a bunch of "Local Network Connection #n" entries in the network settings page.  That lets me know that somebody didn't care about the long-term supportabaility of the cluster.  This can be critically important with Hyper-V Clusters and their high NIC counts.  Final page:   Instance Service Name Account Password Domain OU SQL01 SQL Server SVCSQL01 Baseline22 MicroAD Service Accounts SQL01 SQL Agent SVCSQL01 Baseline22 MicroAD Service Accounts SQL02 SQL Server SVC_SQL02 Baseline22 MicroAD Service Accounts SQL02 SQL Agent SVC_SQL02 Baseline22 MicroAD Service Accounts SQL03 (Future) SQL Server SVC_SQL03 Baseline22 MicroAD Service Accounts SQL03 (Future) SQL Agent SVC_SQL03 Baseline22 MicroAD Service Accounts             Installation Account           administrator            Yes.  I write down the account information.  I secure the file via NTFS, but I don't want to fumble around looking for passwords when it comes time to rebuild a node. Always fill out the workbook COMPLETELY before installing anything.  The whole point is to have everything you need at your fingertips before you begin.  The install experience is so much better and more productive with this information in place.

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• Migrating SQL Server Databases – The DBA’s Checklist (Part 3)

  - by Sadequl Hussain

  Continuing from Part 2 of the Database Migration Checklist series: Step 10: Full-text catalogs and full-text indexing This is one area of SQL Server where people do not seem to take notice unless something goes wrong. Full-text functionality is a specialised area in database application development and is not usually implemented in your everyday OLTP systems. Nevertheless, if you are migrating a database that uses full-text indexing on one or more tables, you need to be aware a few points. First of all, SQL Server 2005 now allows full-text catalog files to be restored or attached along with the rest of the database. However, after migration, if you are unable to look at the properties of any full-text catalogs, you are probably better off dropping and recreating it. You may also get the following error messages along the way: Msg 9954, Level 16, State 2, Line 1 The Full-Text Service (msftesql) is disabled. The system administrator must enable this service. This basically means full text service is not running (disabled or stopped) in the destination instance. You will need to start it from the Configuration Manager. Similarly, if you get the following message, you will also need to drop and recreate the catalog and populate it. Msg 7624, Level 16, State 1, Line 1 Full-text catalog ‘catalog_name‘ is in an unusable state. Drop and re-create this full-text catalog. A full population of full-text indexes can be a time and resource intensive operation. Obviously you will want to schedule it for low usage hours if the database is restored in an existing production server. Also, bear in mind that any scheduled job that existed in the source server for populating the full text catalog (e.g. nightly process for incremental update) will need to be re-created in the destination. Step 11: Database collation considerations Another sticky area to consider during a migration is the collation setting. Ideally you would want to restore or attach the database in a SQL Server instance with the same collation. Although not used commonly, SQL Server allows you to change a database’s collation by using the ALTER DATABASE command: ALTER DATABASE database_name COLLATE collation_name You should not be using this command for no reason as it can get really dangerous.  When you change the database collation, it does not change the collation of the existing user table columns.  However the columns of every new table, every new UDT and subsequently created variables or parameters in code will use the new setting. The collation of every char, nchar, varchar, nvarchar, text or ntext field of the system tables will also be changed. Stored procedure and function parameters will be changed to the new collation and finally, every character-based system data type and user defined data types will also be affected. And the change may not be successful either if there are dependent objects involved. You may get one or multiple messages like the following: Cannot ALTER ‘object_name‘ because it is being referenced by object ‘dependent_object_name‘. That is why it is important to test and check for collation related issues. Collation also affects queries that use comparisons of character-based data.  If errors arise due to two sides of a comparison being in different collation orders, the COLLATE keyword can be used to cast one side to the same collation as the other. Continues…

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• Three Easy Ways of Providing Feedback to the Oracle AutoVue Team

  - by Celine Beck

  Customer feedback is essential in helping us deliver best-in-class Enterprise Visualization solutions which are centered around real-world usage. As the Oracle AutoVue Product Management team is busy prioritizing the next round of improvements, enhancements and new innovation to the AutoVue platform, I thought it would be a good idea to provide our blog-readers with a recap of how best to provide product feedback to the AutoVue Product Management team. This gives you the opportunity to help shape our future agenda and make our solutions better for you. Enterprise Visualization Special Interest Group (EV SIG): the AutoVue EV SIG is a customer-driven initiative that has recently been created to share knowledge and information between members and discuss common and best practices around Enterprise Visualization. The EV SIG also serves as a mechanism for establishing and communicating to AutoVue Product Management users’ collective priorities for the future development, direction and enhancement of the AutoVue product family with the objective of ensuring their continuous improvement. Essentially, EV SIG members meet in order to share and prioritize feedback and use this input to begin dialog with the AutoVue Product Management team on what they deem to be the most important improvements to Enterprise Visualization solutions. The AutoVue EV SIG is by far the best platform for sharing and relaying feedback to our Product Strategy / Management team regarding general product enhancements, industry-specific scenarios, new use cases, usability, support, deployability, etc, and helping us shape the future direction of Enterprise Visualization solutions. We strongly encourage ALL our customers to sign up for the SIG;  here is how you can do so: Sign up for the EVSIG mailing list b.    Visit the group’s website c.    Contact Dennis Walker at Harris Corporation directly should you have any questions: dwalke22-AT-harris-DOT-com Customer / Partner Advisory Boards: The AutoVue Product Strategy / Management team also periodically runs Customer and Partner Advisory Boards. These invitation-only events bring together individuals chosen from Oracle AutoVue’s top customers that are using AutoVue at the enterprise level, as well as strategic partners.  The idea here is to establish open lines of communication between top customers and partners and the Oracle AutoVue Product Strategy team, help us communicate AutoVue’s product direction, share perspectives on today and tomorrow’s challenges and needs for Enterprise Visualization, and validate that proposed additions to the product are valid industry solutions. Our next Customer / Partner Advisory Board will be held in San Francisco during Oracle Open World, please contact your account manager to find out more about the CAB Members’ nomination process. Enhancement Requests:  Enhancement requests are request logged by customers or partners with Product Development for a feature that is not currently available in Oracle AutoVue. Enhancement requests (ER) can be logged easily via the My Oracle Support portal. This is the best way to share feedback with us at the functionality level; for instance if you would like to see a new format supported in AutoVue or make suggestions as per how certain functionality can be improved or should behave. Once the ER is logged, it is then evaluated by Product Management based on feasibility, product adequation and business justification. Product Management then decides whether to consider this ER for future release or not. What helps accelerate the process is hearing from a large number of customers who urgently need a particular feature or configuration. Hence the importance of logging Metalink Service Requests, and describing in details your business expectations. You can include key milestones dates and justifications as to why this request is important and the benefits your organization stands to gain should this request be accepted. Again, feedback from customers and partners is critical to ensure we offer solutions that have the biggest impact on customers’ business processes and day-to-day operations. All feedback is welcome,. So please don’t be shy! 

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• SQL SERVER – Fix: Error : 402 The data types ntext and varchar are incompatible in the equal to operator

  - by pinaldave

  Some errors are very simple to understand but the solution of the same is not easy to figure out. Here is one of the similar errors where it clearly suggests where the problem is but does not tell what is the solution. Additionally, there are multiple solutions so developers often get confused with which one is correct and which one is not correct. Let us first recreate scenario and understand where the problem is. Let us run following USE Tempdb GO CREATE TABLE TestTable (ID INT, MyText NTEXT) GO SELECT ID, MyText FROM TestTable WHERE MyText = 'AnyText' GO DROP TABLE TestTable GO When you run above script it will give you following error. Msg 402, Level 16, State 1, Line 1 The data types ntext and varchar are incompatible in the equal to operator. One of the questions I often receive is that voucher is for sure compatible to equal to operator, then why does this error show up. Well, the answer is much simpler I think we have not understood the error message properly. Please see the image below. The next and varchar are not compatible when compared with each other using equal sign. Now let us change the data type on the right side of the string to nvarchar from varchar. To do that we will put N’ before the string. USE Tempdb GO CREATE TABLE TestTable (ID INT, MyText NTEXT) GO SELECT ID, MyText FROM TestTable WHERE MyText = N'AnyText' GO DROP TABLE TestTable GO When you run above script it will give following error. Msg 402, Level 16, State 1, Line 1 The data types ntext and nvarchar are incompatible in the equal to operator. You can see that error message also suggests that now we are comparing next to nvarchar. Now as we have understood the error properly, let us see various solutions to the above problem. Solution 1: Convert the data types to match with each other using CONVERT function. Change the datatype of the MyText to nvarchar. SELECT ID, MyText FROM TestTable WHERE CONVERT(NVARCHAR(MAX), MyText) = N'AnyText' GO Solution 2: Convert the data type of columns from NTEXT to NVARCHAR(MAX) (TEXT to VARCHAR(MAX) ALTER TABLE TestTable ALTER COLUMN MyText NVARCHAR(MAX) GO Now you can run the original query again and it will work fine. Solution 3: Using LIKE command instead of Equal to command. SELECT ID, MyText FROM TestTable WHERE MyText LIKE 'AnyText' GO Well, any of the three of the solutions will work. Here is my suggestion if you can change the column data type from ntext or text to nvarchar or varchar, you should follow that path as text and ntext datatypes are marked as deprecated. All developers any way to change the deprecated data types in future, it will be a good idea to change them right early. If due to any reason you can not convert the original column use Solution 1 for temporary fix. Solution 3 is the not the best solution and use it as a last option. Did I miss any other method? If yes, please let me know and I will add the solution to original blog post with due credit. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Error Messages, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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