Search Results

Search found 9730 results on 390 pages for 'dynamic schema'.

Page 1/390 | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

  • SQL SERVER – How to Compare the Schema of Two Databases with Schema Compare

    - by Pinal Dave
    Earlier I wrote about An Efficiency Tool to Compare and Synchronize SQL Server Databases and it was very much well received. Since the blog post I have received quite a many question that just like data how we can also compare schema and synchronize it. If you think about comparing the schema manually, it is almost impossible to do so. Table Schema has been just one of the concept but if you really want the all the schema of the database (triggers, views, stored procedure and everything else) it is just impossible task. If you are developer or database administrator who works in the production environment than you know that there are so many different occasions when we have to compare schema of the database. Before deploying any changes to the production server, I personally like to make note of the every single schema change and document it so in case of any issue , I can always go back and refer my documentation. As discussed earlier it is absolutely impossible to do this task without the help of third party tools. I personally use Devart Schema Compare for this task. This is an extremely easy tool. Let us see how it works. First I have two different databases – a) AdventureWorks2012 and b) AdventureWorks2012-V1. There are total three changes between these databases. Here is the list of the same. One of the table has additional column One of the table have new index One of the stored procedure is changed Now let see how dbForge Schema Compare works in this scenario. First open dbForge Schema Compare studio. Click on New Schema Comparison. It will bring you to following screen where we have to configure the database needed to configure. I have selected AdventureWorks2012 and AdventureWorks-V1 databases. In the next screen we can verify various options but for this demonstration we will keep it as it is. We will not change anything in schema mapping screen as in our case it is not required but generically if you are comparing across schema you may need this. This is the most important screen as on this screen we select which kind of object we want to compare. You can see the options which are available to select. The screen lets you select the objects from SQL Server 2000 to SQL Server 2012. Once you click on compare in previous screen it will bring you to this screen, which will essentially display the comparative difference between two of the databases which we had selected in earlier screen. As mentioned above there are three different changes in the database and the same has been listed over here. Two of the changes belongs to the tables and one changes belong to the procedure. Let us click each of them one by one to see what is the difference between them. In very first option we can see that there is an additional column in another database which did not exist earlier. In this example we can see that AdventureWorks2012 database have an additional index. Following example is very interesting as in this case, we have changed the definition of the stored procedure and the result pan contains the same. dbForget Schema Compare very effectively identify the changes in schema and lists them neatly to developers. Here is one more screen. This software not only compares the schema but also provides the options to update or drop them as per the choice. I think this is brilliant option. Well, I have been using schema compare for quite a while and have found it very useful. Here are few of the things which dbForge Schema Compare can do for developers and DBAs. Compare and synchronize SQL Server database schemas Compare schemas of live database and SQL Server backup Generate comparison reports in Excel and HTML formats Eliminate mistakes in schema changes propagation across environments Track production database changes and customizations Automate migration of schema changes using command line interface I suggest that you try out dbForge Schema Compare and let me know what you think of this product. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL

    Read the article

  • Differences between Dynamic Dispatch and Dynamic Binding

    - by Prog
    I've been looking on Google for a clear diffrentiation with examples but couldn't find any. I'm trying to understand the differences between Dynamic Dispatch and Dynamic Binding in Object Oriented languages. As far as I understand, Dynamic Dispatch is what happens when the concrete method invoked is decided at runtime, based on the concrete type. For example: public void doStuff(SuperType object){ object.act(); } SuperType has several subclasses. The concrete class of the object will only be known at runtime, and so the concrete act() implementation invoked will be decided at runtime. However, I'm not sure what Dynamic Binding means, and how it differs from Dynamic Dispatch. Please explain Dynamic Binding and how it's different from Dynamic Dispatch. Java examples would be welcome.

    Read the article

  • Modifying SQL Server Schema Collection

    - by Mevdiven
    SQL Server XML Schema Collection is an interesting concept and I find it very useful when designing dynamic data content. However as I work my way through implementing Schema Collections, I find it very difficult to maintain them. Schema Collection DDL allows only CREATE and ALTER/ADD nodes to existing schemes. CREATE XML SCHEMA COLLECTION [ <relational_schema>. ]sql_identifier AS 'XSD Content' ALTER XML SCHEMA COLLECTION [ <relational_schema>. ]sql_identifier ADD 'Schema Component' When you want to remove any node from a schema you have to issue following DDL's. If that schema collection assigned to a table column, you have to alter table to remove schema collection association from that column Drop the schema collection object Re-Create schema collection Alter table column to re-associate schema collection to that column. This is pain when it comes to 100+ of schemes in a collection. Also you have to re-create XML indexes all over again, if any. Any solutions, suggestions, tricks to make this schema collection object editing process easier?

    Read the article

  • Dynamic Types and DynamicObject References in C#

    - by Rick Strahl
    I've been working a bit with C# custom dynamic types for several customers recently and I've seen some confusion in understanding how dynamic types are referenced. This discussion specifically centers around types that implement IDynamicMetaObjectProvider or subclass from DynamicObject as opposed to arbitrary type casts of standard .NET types. IDynamicMetaObjectProvider types  are treated special when they are cast to the dynamic type. Assume for a second that I've created my own implementation of a custom dynamic type called DynamicFoo which is about as simple of a dynamic class that I can think of:public class DynamicFoo : DynamicObject { Dictionary<string, object> properties = new Dictionary<string, object>(); public string Bar { get; set; } public DateTime Entered { get; set; } public override bool TryGetMember(GetMemberBinder binder, out object result) { result = null; if (!properties.ContainsKey(binder.Name)) return false; result = properties[binder.Name]; return true; } public override bool TrySetMember(SetMemberBinder binder, object value) { properties[binder.Name] = value; return true; } } This class has an internal dictionary member and I'm exposing this dictionary member through a dynamic by implementing DynamicObject. This implementation exposes the properties dictionary so the dictionary keys can be referenced like properties (foo.NewProperty = "Cool!"). I override TryGetMember() and TrySetMember() which are fired at runtime every time you access a 'property' on a dynamic instance of this DynamicFoo type. Strong Typing and Dynamic Casting I now can instantiate and use DynamicFoo in a couple of different ways: Strong TypingDynamicFoo fooExplicit = new DynamicFoo(); var fooVar = new DynamicFoo(); These two commands are essentially identical and use strong typing. The compiler generates identical code for both of them. The var statement is merely a compiler directive to infer the type of fooVar at compile time and so the type of fooExplicit is DynamicFoo, just like fooExplicit. This is very static - nothing dynamic about it - and it completely ignores the IDynamicMetaObjectProvider implementation of my class above as it's never used. Using either of these I can access the native properties:DynamicFoo fooExplicit = new DynamicFoo();// static typing assignmentsfooVar.Bar = "Barred!"; fooExplicit.Entered = DateTime.Now; // echo back static values Console.WriteLine(fooVar.Bar); Console.WriteLine(fooExplicit.Entered); but I have no access whatsoever to the properties dictionary. Basically this creates a strongly typed instance of the type with access only to the strongly typed interface. You get no dynamic behavior at all. The IDynamicMetaObjectProvider features don't kick in until you cast the type to dynamic. If I try to access a non-existing property on fooExplicit I get a compilation error that tells me that the property doesn't exist. Again, it's clearly and utterly non-dynamic. Dynamicdynamic fooDynamic = new DynamicFoo(); fooDynamic on the other hand is created as a dynamic type and it's a completely different beast. I can also create a dynamic by simply casting any type to dynamic like this:DynamicFoo fooExplicit = new DynamicFoo(); dynamic fooDynamic = fooExplicit; Note that dynamic typically doesn't require an explicit cast as the compiler automatically performs the cast so there's no need to use as dynamic. Dynamic functionality works at runtime and allows for the dynamic wrapper to look up and call members dynamically. A dynamic type will look for members to access or call in two places: Using the strongly typed members of the object Using theIDynamicMetaObjectProvider Interface methods to access members So rather than statically linking and calling a method or retrieving a property, the dynamic type looks up - at runtime  - where the value actually comes from. It's essentially late-binding which allows runtime determination what action to take when a member is accessed at runtime *if* the member you are accessing does not exist on the object. Class members are checked first before IDynamicMetaObjectProvider interface methods are kick in. All of the following works with the dynamic type:dynamic fooDynamic = new DynamicFoo(); // dynamic typing assignments fooDynamic.NewProperty = "Something new!"; fooDynamic.LastAccess = DateTime.Now; // dynamic assigning static properties fooDynamic.Bar = "dynamic barred"; fooDynamic.Entered = DateTime.Now; // echo back dynamic values Console.WriteLine(fooDynamic.NewProperty); Console.WriteLine(fooDynamic.LastAccess); Console.WriteLine(fooDynamic.Bar); Console.WriteLine(fooDynamic.Entered); The dynamic type can access the native class properties (Bar and Entered) and create and read new ones (NewProperty,LastAccess) all using a single type instance which is pretty cool. As you can see it's pretty easy to create an extensible type this way that can dynamically add members at runtime dynamically. The Alter Ego of IDynamicObject The key point here is that all three statements - explicit, var and dynamic - declare a new DynamicFoo(), but the dynamic declaration results in completely different behavior than the first two simply because the type has been cast to dynamic. Dynamic binding means that the type loses its typical strong typing, compile time features. You can see this easily in the Visual Studio code editor. As soon as you assign a value to a dynamic you lose Intellisense and you see which means there's no Intellisense and no compiler type checking on any members you apply to this instance. If you're new to the dynamic type it might seem really confusing that a single type can behave differently depending on how it is cast, but that's exactly what happens when you use a type that implements IDynamicMetaObjectProvider. Declare the type as its strong type name and you only get to access the native instance members of the type. Declare or cast it to dynamic and you get dynamic behavior which accesses native members plus it uses IDynamicMetaObjectProvider implementation to handle any missing member definitions by running custom code. You can easily cast objects back and forth between dynamic and the original type:dynamic fooDynamic = new DynamicFoo(); fooDynamic.NewProperty = "New Property Value"; DynamicFoo foo = fooDynamic; foo.Bar = "Barred"; Here the code starts out with a dynamic cast and a dynamic assignment. The code then casts back the value to the DynamicFoo. Notice that when casting from dynamic to DynamicFoo and back we typically do not have to specify the cast explicitly - the compiler can induce the type so I don't need to specify as dynamic or as DynamicFoo. Moral of the Story This easy interchange between dynamic and the underlying type is actually super useful, because it allows you to create extensible objects that can expose non-member data stores and expose them as an object interface. You can create an object that hosts a number of strongly typed properties and then cast the object to dynamic and add additional dynamic properties to the same type at runtime. You can easily switch back and forth between the strongly typed instance to access the well-known strongly typed properties and to dynamic for the dynamic properties added at runtime. Keep in mind that dynamic object access has quite a bit of overhead and is definitely slower than strongly typed binding, so if you're accessing the strongly typed parts of your objects you definitely want to use a strongly typed reference. Reserve dynamic for the dynamic members to optimize your code. The real beauty of dynamic is that with very little effort you can build expandable objects or objects that expose different data stores to an object interface. I'll have more on this in my next post when I create a customized and extensible Expando object based on DynamicObject.© Rick Strahl, West Wind Technologies, 2005-2012Posted in CSharp  .NET   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

    Read the article

  • Creating a dynamic, extensible C# Expando Object

    - by Rick Strahl
    I love dynamic functionality in a strongly typed language because it offers us the best of both worlds. In C# (or any of the main .NET languages) we now have the dynamic type that provides a host of dynamic features for the static C# language. One place where I've found dynamic to be incredibly useful is in building extensible types or types that expose traditionally non-object data (like dictionaries) in easier to use and more readable syntax. I wrote about a couple of these for accessing old school ADO.NET DataRows and DataReaders more easily for example. These classes are dynamic wrappers that provide easier syntax and auto-type conversions which greatly simplifies code clutter and increases clarity in existing code. ExpandoObject in .NET 4.0 Another great use case for dynamic objects is the ability to create extensible objects - objects that start out with a set of static members and then can add additional properties and even methods dynamically. The .NET 4.0 framework actually includes an ExpandoObject class which provides a very dynamic object that allows you to add properties and methods on the fly and then access them again. For example with ExpandoObject you can do stuff like this:dynamic expand = new ExpandoObject(); expand.Name = "Rick"; expand.HelloWorld = (Func<string, string>) ((string name) => { return "Hello " + name; }); Console.WriteLine(expand.Name); Console.WriteLine(expand.HelloWorld("Dufus")); Internally ExpandoObject uses a Dictionary like structure and interface to store properties and methods and then allows you to add and access properties and methods easily. As cool as ExpandoObject is it has a few shortcomings too: It's a sealed type so you can't use it as a base class It only works off 'properties' in the internal Dictionary - you can't expose existing type data It doesn't serialize to XML or with DataContractSerializer/DataContractJsonSerializer Expando - A truly extensible Object ExpandoObject is nice if you just need a dynamic container for a dictionary like structure. However, if you want to build an extensible object that starts out with a set of strongly typed properties and then allows you to extend it, ExpandoObject does not work because it's a sealed class that can't be inherited. I started thinking about this very scenario for one of my applications I'm building for a customer. In this system we are connecting to various different user stores. Each user store has the same basic requirements for username, password, name etc. But then each store also has a number of extended properties that is available to each application. In the real world scenario the data is loaded from the database in a data reader and the known properties are assigned from the known fields in the database. All unknown fields are then 'added' to the expando object dynamically. In the past I've done this very thing with a separate property - Properties - just like I do for this class. But the property and dictionary syntax is not ideal and tedious to work with. I started thinking about how to represent these extra property structures. One way certainly would be to add a Dictionary, or an ExpandoObject to hold all those extra properties. But wouldn't it be nice if the application could actually extend an existing object that looks something like this as you can with the Expando object:public class User : Westwind.Utilities.Dynamic.Expando { public string Email { get; set; } public string Password { get; set; } public string Name { get; set; } public bool Active { get; set; } public DateTime? ExpiresOn { get; set; } } and then simply start extending the properties of this object dynamically? Using the Expando object I describe later you can now do the following:[TestMethod] public void UserExampleTest() { var user = new User(); // Set strongly typed properties user.Email = "[email protected]"; user.Password = "nonya123"; user.Name = "Rickochet"; user.Active = true; // Now add dynamic properties dynamic duser = user; duser.Entered = DateTime.Now; duser.Accesses = 1; // you can also add dynamic props via indexer user["NickName"] = "AntiSocialX"; duser["WebSite"] = "http://www.west-wind.com/weblog"; // Access strong type through dynamic ref Assert.AreEqual(user.Name,duser.Name); // Access strong type through indexer Assert.AreEqual(user.Password,user["Password"]); // access dyanmically added value through indexer Assert.AreEqual(duser.Entered,user["Entered"]); // access index added value through dynamic Assert.AreEqual(user["NickName"],duser.NickName); // loop through all properties dynamic AND strong type properties (true) foreach (var prop in user.GetProperties(true)) { object val = prop.Value; if (val == null) val = "null"; Console.WriteLine(prop.Key + ": " + val.ToString()); } } As you can see this code somewhat blurs the line between a static and dynamic type. You start with a strongly typed object that has a fixed set of properties. You can then cast the object to dynamic (as I discussed in my last post) and add additional properties to the object. You can also use an indexer to add dynamic properties to the object. To access the strongly typed properties you can use either the strongly typed instance, the indexer or the dynamic cast of the object. Personally I think it's kinda cool to have an easy way to access strongly typed properties by string which can make some data scenarios much easier. To access the 'dynamically added' properties you can use either the indexer on the strongly typed object, or property syntax on the dynamic cast. Using the dynamic type allows all three modes to work on both strongly typed and dynamic properties. Finally you can iterate over all properties, both dynamic and strongly typed if you chose. Lots of flexibility. Note also that by default the Expando object works against the (this) instance meaning it extends the current object. You can also pass in a separate instance to the constructor in which case that object will be used to iterate over to find properties rather than this. Using this approach provides some really interesting functionality when use the dynamic type. To use this we have to add an explicit constructor to the Expando subclass:public class User : Westwind.Utilities.Dynamic.Expando { public string Email { get; set; } public string Password { get; set; } public string Name { get; set; } public bool Active { get; set; } public DateTime? ExpiresOn { get; set; } public User() : base() { } // only required if you want to mix in seperate instance public User(object instance) : base(instance) { } } to allow the instance to be passed. When you do you can now do:[TestMethod] public void ExpandoMixinTest() { // have Expando work on Addresses var user = new User( new Address() ); // cast to dynamicAccessToPropertyTest dynamic duser = user; // Set strongly typed properties duser.Email = "[email protected]"; user.Password = "nonya123"; // Set properties on address object duser.Address = "32 Kaiea"; //duser.Phone = "808-123-2131"; // set dynamic properties duser.NonExistantProperty = "This works too"; // shows default value Address.Phone value Console.WriteLine(duser.Phone); } Using the dynamic cast in this case allows you to access *three* different 'objects': The strong type properties, the dynamically added properties in the dictionary and the properties of the instance passed in! Effectively this gives you a way to simulate multiple inheritance (which is scary - so be very careful with this, but you can do it). How Expando works Behind the scenes Expando is a DynamicObject subclass as I discussed in my last post. By implementing a few of DynamicObject's methods you can basically create a type that can trap 'property missing' and 'method missing' operations. When you access a non-existant property a known method is fired that our code can intercept and provide a value for. Internally Expando uses a custom dictionary implementation to hold the dynamic properties you might add to your expandable object. Let's look at code first. The code for the Expando type is straight forward and given what it provides relatively short. Here it is.using System; using System.Collections.Generic; using System.Linq; using System.Dynamic; using System.Reflection; namespace Westwind.Utilities.Dynamic { /// <summary> /// Class that provides extensible properties and methods. This /// dynamic object stores 'extra' properties in a dictionary or /// checks the actual properties of the instance. /// /// This means you can subclass this expando and retrieve either /// native properties or properties from values in the dictionary. /// /// This type allows you three ways to access its properties: /// /// Directly: any explicitly declared properties are accessible /// Dynamic: dynamic cast allows access to dictionary and native properties/methods /// Dictionary: Any of the extended properties are accessible via IDictionary interface /// </summary> [Serializable] public class Expando : DynamicObject, IDynamicMetaObjectProvider { /// <summary> /// Instance of object passed in /// </summary> object Instance; /// <summary> /// Cached type of the instance /// </summary> Type InstanceType; PropertyInfo[] InstancePropertyInfo { get { if (_InstancePropertyInfo == null && Instance != null) _InstancePropertyInfo = Instance.GetType().GetProperties(BindingFlags.Instance | BindingFlags.Public | BindingFlags.DeclaredOnly); return _InstancePropertyInfo; } } PropertyInfo[] _InstancePropertyInfo; /// <summary> /// String Dictionary that contains the extra dynamic values /// stored on this object/instance /// </summary> /// <remarks>Using PropertyBag to support XML Serialization of the dictionary</remarks> public PropertyBag Properties = new PropertyBag(); //public Dictionary<string,object> Properties = new Dictionary<string, object>(); /// <summary> /// This constructor just works off the internal dictionary and any /// public properties of this object. /// /// Note you can subclass Expando. /// </summary> public Expando() { Initialize(this); } /// <summary> /// Allows passing in an existing instance variable to 'extend'. /// </summary> /// <remarks> /// You can pass in null here if you don't want to /// check native properties and only check the Dictionary! /// </remarks> /// <param name="instance"></param> public Expando(object instance) { Initialize(instance); } protected virtual void Initialize(object instance) { Instance = instance; if (instance != null) InstanceType = instance.GetType(); } /// <summary> /// Try to retrieve a member by name first from instance properties /// followed by the collection entries. /// </summary> /// <param name="binder"></param> /// <param name="result"></param> /// <returns></returns> public override bool TryGetMember(GetMemberBinder binder, out object result) { result = null; // first check the Properties collection for member if (Properties.Keys.Contains(binder.Name)) { result = Properties[binder.Name]; return true; } // Next check for Public properties via Reflection if (Instance != null) { try { return GetProperty(Instance, binder.Name, out result); } catch { } } // failed to retrieve a property result = null; return false; } /// <summary> /// Property setter implementation tries to retrieve value from instance /// first then into this object /// </summary> /// <param name="binder"></param> /// <param name="value"></param> /// <returns></returns> public override bool TrySetMember(SetMemberBinder binder, object value) { // first check to see if there's a native property to set if (Instance != null) { try { bool result = SetProperty(Instance, binder.Name, value); if (result) return true; } catch { } } // no match - set or add to dictionary Properties[binder.Name] = value; return true; } /// <summary> /// Dynamic invocation method. Currently allows only for Reflection based /// operation (no ability to add methods dynamically). /// </summary> /// <param name="binder"></param> /// <param name="args"></param> /// <param name="result"></param> /// <returns></returns> public override bool TryInvokeMember(InvokeMemberBinder binder, object[] args, out object result) { if (Instance != null) { try { // check instance passed in for methods to invoke if (InvokeMethod(Instance, binder.Name, args, out result)) return true; } catch { } } result = null; return false; } /// <summary> /// Reflection Helper method to retrieve a property /// </summary> /// <param name="instance"></param> /// <param name="name"></param> /// <param name="result"></param> /// <returns></returns> protected bool GetProperty(object instance, string name, out object result) { if (instance == null) instance = this; var miArray = InstanceType.GetMember(name, BindingFlags.Public | BindingFlags.GetProperty | BindingFlags.Instance); if (miArray != null && miArray.Length > 0) { var mi = miArray[0]; if (mi.MemberType == MemberTypes.Property) { result = ((PropertyInfo)mi).GetValue(instance,null); return true; } } result = null; return false; } /// <summary> /// Reflection helper method to set a property value /// </summary> /// <param name="instance"></param> /// <param name="name"></param> /// <param name="value"></param> /// <returns></returns> protected bool SetProperty(object instance, string name, object value) { if (instance == null) instance = this; var miArray = InstanceType.GetMember(name, BindingFlags.Public | BindingFlags.SetProperty | BindingFlags.Instance); if (miArray != null && miArray.Length > 0) { var mi = miArray[0]; if (mi.MemberType == MemberTypes.Property) { ((PropertyInfo)mi).SetValue(Instance, value, null); return true; } } return false; } /// <summary> /// Reflection helper method to invoke a method /// </summary> /// <param name="instance"></param> /// <param name="name"></param> /// <param name="args"></param> /// <param name="result"></param> /// <returns></returns> protected bool InvokeMethod(object instance, string name, object[] args, out object result) { if (instance == null) instance = this; // Look at the instanceType var miArray = InstanceType.GetMember(name, BindingFlags.InvokeMethod | BindingFlags.Public | BindingFlags.Instance); if (miArray != null && miArray.Length > 0) { var mi = miArray[0] as MethodInfo; result = mi.Invoke(Instance, args); return true; } result = null; return false; } /// <summary> /// Convenience method that provides a string Indexer /// to the Properties collection AND the strongly typed /// properties of the object by name. /// /// // dynamic /// exp["Address"] = "112 nowhere lane"; /// // strong /// var name = exp["StronglyTypedProperty"] as string; /// </summary> /// <remarks> /// The getter checks the Properties dictionary first /// then looks in PropertyInfo for properties. /// The setter checks the instance properties before /// checking the Properties dictionary. /// </remarks> /// <param name="key"></param> /// /// <returns></returns> public object this[string key] { get { try { // try to get from properties collection first return Properties[key]; } catch (KeyNotFoundException ex) { // try reflection on instanceType object result = null; if (GetProperty(Instance, key, out result)) return result; // nope doesn't exist throw; } } set { if (Properties.ContainsKey(key)) { Properties[key] = value; return; } // check instance for existance of type first var miArray = InstanceType.GetMember(key, BindingFlags.Public | BindingFlags.GetProperty); if (miArray != null && miArray.Length > 0) SetProperty(Instance, key, value); else Properties[key] = value; } } /// <summary> /// Returns and the properties of /// </summary> /// <param name="includeProperties"></param> /// <returns></returns> public IEnumerable<KeyValuePair<string,object>> GetProperties(bool includeInstanceProperties = false) { if (includeInstanceProperties && Instance != null) { foreach (var prop in this.InstancePropertyInfo) yield return new KeyValuePair<string, object>(prop.Name, prop.GetValue(Instance, null)); } foreach (var key in this.Properties.Keys) yield return new KeyValuePair<string, object>(key, this.Properties[key]); } /// <summary> /// Checks whether a property exists in the Property collection /// or as a property on the instance /// </summary> /// <param name="item"></param> /// <returns></returns> public bool Contains(KeyValuePair<string, object> item, bool includeInstanceProperties = false) { bool res = Properties.ContainsKey(item.Key); if (res) return true; if (includeInstanceProperties && Instance != null) { foreach (var prop in this.InstancePropertyInfo) { if (prop.Name == item.Key) return true; } } return false; } } } Although the Expando class supports an indexer, it doesn't actually implement IDictionary or even IEnumerable. It only provides the indexer and Contains() and GetProperties() methods, that work against the Properties dictionary AND the internal instance. The reason for not implementing IDictionary is that a) it doesn't add much value since you can access the Properties dictionary directly and that b) I wanted to keep the interface to class very lean so that it can serve as an entity type if desired. Implementing these IDictionary (or even IEnumerable) causes LINQ extension methods to pop up on the type which obscures the property interface and would only confuse the purpose of the type. IDictionary and IEnumerable are also problematic for XML and JSON Serialization - the XML Serializer doesn't serialize IDictionary<string,object>, nor does the DataContractSerializer. The JavaScriptSerializer does serialize, but it treats the entire object like a dictionary and doesn't serialize the strongly typed properties of the type, only the dictionary values which is also not desirable. Hence the decision to stick with only implementing the indexer to support the user["CustomProperty"] functionality and leaving iteration functions to the publicly exposed Properties dictionary. Note that the Dictionary used here is a custom PropertyBag class I created to allow for serialization to work. One important aspect for my apps is that whatever custom properties get added they have to be accessible to AJAX clients since the particular app I'm working on is a SIngle Page Web app where most of the Web access is through JSON AJAX calls. PropertyBag can serialize to XML and one way serialize to JSON using the JavaScript serializer (not the DCS serializers though). The key components that make Expando work in this code are the Properties Dictionary and the TryGetMember() and TrySetMember() methods. The Properties collection is public so if you choose you can explicitly access the collection to get better performance or to manipulate the members in internal code (like loading up dynamic values form a database). Notice that TryGetMember() and TrySetMember() both work against the dictionary AND the internal instance to retrieve and set properties. This means that user["Name"] works against native properties of the object as does user["Name"] = "RogaDugDog". What's your Use Case? This is still an early prototype but I've plugged it into one of my customer's applications and so far it's working very well. The key features for me were the ability to easily extend the type with values coming from a database and exposing those values in a nice and easy to use manner. I'm also finding that using this type of object for ViewModels works very well to add custom properties to view models. I suspect there will be lots of uses for this - I've been using the extra dictionary approach to extensibility for years - using a dynamic type to make the syntax cleaner is just a bonus here. What can you think of to use this for? Resources Source Code and Tests (GitHub) Also integrated in Westwind.Utilities of the West Wind Web Toolkit West Wind Utilities NuGet© Rick Strahl, West Wind Technologies, 2005-2012Posted in CSharp  .NET  Dynamic Types   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

    Read the article

  • SQL Server and Hyper-V Dynamic Memory - Part 1

    - by SQLOS Team
    SQL and Dynamic Memory Blog Post Series   Hyper-V Dynamic Memory is a new feature in Windows Server 2008 R2 SP1 that allows the memory assigned to guest virtual machines to vary according to demand. Using this feature with SQL Server is supported, but how well does it work in an environment where available memory can vary dynamically, especially since SQL Server likes memory, and is not very eager to let go of it? The next three posts will look at this question in detail. In Part 1 Serdar Sutay, a program manager in the Windows Hyper-V team, introduces Dynamic Memory with an overview of the basic architecture, configuration and monitoring concepts. In subsequent parts we will look at SQL Server memory handling, and develop some guidelines on using SQL Server with Dynamic Memory.   Part 1: Dynamic Memory Introduction   In virtualized environments memory is often the bottleneck for reaching higher VM densities. In Windows Server 2008 R2 SP1 Hyper-V introduced a new feature “Dynamic Memory” to improve VM densities on Hyper-V hosts. Dynamic Memory increases the memory utilization in virtualized environments by enabling VM memory to be changed dynamically when the VM is running.   This brings up the question of how to utilize this feature with SQL Server VMs as SQL Server performance is very sensitive to the memory being used. In the next three posts we’ll discuss the internals of Dynamic Memory, SQL Server Memory Management and how to use Dynamic Memory with SQL Server VMs.   Memory Utilization Efficiency in Virtualized Environments   The primary reason memory is usually the bottleneck for higher VM densities is that users tend to be generous when assigning memory to their VMs. Here are some memory sizing practices we’ve heard from customers:   ·         I assign 4 GB of memory to my VMs. I don’t know if all of it is being used by the applications but no one complains. ·         I take the minimum system requirements and add 50% more. ·         I go with the recommendations provided by my software vendor.   In reality correctly sizing a virtual machine requires significant effort to monitor the memory usage of the applications. Since this is not done in most environments, VMs are usually over-provisioned in terms of memory. In other words, a SQL Server VM that is assigned 4 GB of memory may not need to use 4 GB.   How does Dynamic Memory help?   Dynamic Memory improves the memory utilization by removing the requirement to determine the memory need for an application. Hyper-V determines the memory needed by applications in the VM by evaluating the memory usage information in the guest with Dynamic Memory. VMs can start with a small amount of memory and they can be assigned more memory dynamically based on the workload of applications running inside.   Overview of Dynamic Memory Concepts   ·         Startup Memory: Startup Memory is the starting amount of memory when Dynamic Memory is enabled for a VM. Dynamic Memory will make sure that this amount of memory is always assigned to the VMs by default.   ·         Maximum Memory: Maximum Memory specifies the maximum amount of memory that a VM can grow to with Dynamic Memory. ·         Memory Demand: Memory Demand is the amount determined by Dynamic Memory as the memory needed by the applications in the VM. In Windows Server 2008 R2 SP1, this is equal to the total amount of committed memory of the VM. ·         Memory Buffer: Memory Buffer is the amount of memory assigned to the VMs in addition to their memory demand to satisfy immediate memory requirements and file cache needs.   Once Dynamic Memory is enabled for a VM, it will start with the “Startup Memory”. After the boot process Dynamic Memory will determine the “Memory Demand” of the VM. Based on this memory demand it will determine the amount of “Memory Buffer” that needs to be assigned to the VM. Dynamic Memory will assign the total of “Memory Demand” and “Memory Buffer” to the VM as long as this value is less than “Maximum Memory” and as long as physical memory is available on the host.   What happens when there is not enough physical memory available on the host?   Once there is not enough physical memory on the host to satisfy VM needs, Dynamic Memory will assign less than needed amount of memory to the VMs based on their importance. A concept known as “Memory Weight” is used to determine how much VMs should be penalized based on their needed amount of memory. “Memory Weight” is a configuration setting on the VM. It can be configured to be higher for the VMs with high performance requirements. Under high memory pressure on the host, the “Memory Weight” of the VMs are evaluated in a relative manner and the VMs with lower relative “Memory Weight” will be penalized more than the ones with higher “Memory Weight”.   Dynamic Memory Configuration   Based on these concepts “Startup Memory”, “Maximum Memory”, “Memory Buffer” and “Memory Weight” can be configured as shown below in Windows Server 2008 R2 SP1 Hyper-V Manager. Memory Demand is automatically calculated by Dynamic Memory once VMs start running.     Dynamic Memory Monitoring    In Windows Server 2008 R2 SP1, Hyper-V Manager displays the memory status of VMs in the following three columns:         ·         Assigned Memory represents the current physical memory assigned to the VM. In regular conditions this will be equal to the sum of “Memory Demand” and “Memory Buffer” assigned to the VM. When there is not enough memory on the host, this value can go below the Memory Demand determined for the VM. ·         Memory Demand displays the current “Memory Demand” determined for the VM. ·         Memory Status displays the current memory status of the VM. This column can represent three values for a VM: o   OK: In this condition the VM is assigned the total of Memory Demand and Memory Buffer it needs. o   Low: In this condition the VM is assigned all the Memory Demand and a certain percentage of the Memory Buffer it needs. o   Warning: In this condition the VM is assigned a lower memory than its Memory Demand. When VMs are running in this condition, it’s likely that they will exhibit performance problems due to internal paging happening in the VM.    So far so good! But how does it work with SQL Server?   SQL Server is aggressive in terms of memory usage for good reasons. This raises the question: How do SQL Server and Dynamic Memory work together? To understand the full story, we’ll first need to understand how SQL Server Memory Management works. This will be covered in our second post in “SQL and Dynamic Memory” series. Meanwhile if you want to dive deeper into Dynamic Memory you can check the below posts from the Windows Virtualization Team Blog:   http://blogs.technet.com/virtualization/archive/2010/03/18/dynamic-memory-coming-to-hyper-v.aspx   http://blogs.technet.com/virtualization/archive/2010/03/25/dynamic-memory-coming-to-hyper-v-part-2.aspx   http://blogs.technet.com/virtualization/archive/2010/04/07/dynamic-memory-coming-to-hyper-v-part-3.aspx   http://blogs.technet.com/b/virtualization/archive/2010/04/21/dynamic-memory-coming-to-hyper-v-part-4.aspx   http://blogs.technet.com/b/virtualization/archive/2010/05/20/dynamic-memory-coming-to-hyper-v-part-5.aspx   http://blogs.technet.com/b/virtualization/archive/2010/07/12/dynamic-memory-coming-to-hyper-v-part-6.aspx   - Serdar Sutay   Originally posted at http://blogs.msdn.com/b/sqlosteam/

    Read the article

  • SQL Server and Hyper-V Dynamic Memory - Part 1

    - by SQLOS Team
    SQL and Dynamic Memory Blog Post Series   Hyper-V Dynamic Memory is a new feature in Windows Server 2008 R2 SP1 that allows the memory assigned to guest virtual machines to vary according to demand. Using this feature with SQL Server is supported, but how well does it work in an environment where available memory can vary dynamically, especially since SQL Server likes memory, and is not very eager to let go of it? The next three posts will look at this question in detail. In Part 1 Serdar Sutay, a program manager in the Windows Hyper-V team, introduces Dynamic Memory with an overview of the basic architecture, configuration and monitoring concepts. In subsequent parts we will look at SQL Server memory handling, and develop some guidelines on using SQL Server with Dynamic Memory.   Part 1: Dynamic Memory Introduction   In virtualized environments memory is often the bottleneck for reaching higher VM densities. In Windows Server 2008 R2 SP1 Hyper-V introduced a new feature “Dynamic Memory” to improve VM densities on Hyper-V hosts. Dynamic Memory increases the memory utilization in virtualized environments by enabling VM memory to be changed dynamically when the VM is running.   This brings up the question of how to utilize this feature with SQL Server VMs as SQL Server performance is very sensitive to the memory being used. In the next three posts we’ll discuss the internals of Dynamic Memory, SQL Server Memory Management and how to use Dynamic Memory with SQL Server VMs.   Memory Utilization Efficiency in Virtualized Environments   The primary reason memory is usually the bottleneck for higher VM densities is that users tend to be generous when assigning memory to their VMs. Here are some memory sizing practices we’ve heard from customers:   ·         I assign 4 GB of memory to my VMs. I don’t know if all of it is being used by the applications but no one complains. ·         I take the minimum system requirements and add 50% more. ·         I go with the recommendations provided by my software vendor.   In reality correctly sizing a virtual machine requires significant effort to monitor the memory usage of the applications. Since this is not done in most environments, VMs are usually over-provisioned in terms of memory. In other words, a SQL Server VM that is assigned 4 GB of memory may not need to use 4 GB.   How does Dynamic Memory help?   Dynamic Memory improves the memory utilization by removing the requirement to determine the memory need for an application. Hyper-V determines the memory needed by applications in the VM by evaluating the memory usage information in the guest with Dynamic Memory. VMs can start with a small amount of memory and they can be assigned more memory dynamically based on the workload of applications running inside.   Overview of Dynamic Memory Concepts   ·         Startup Memory: Startup Memory is the starting amount of memory when Dynamic Memory is enabled for a VM. Dynamic Memory will make sure that this amount of memory is always assigned to the VMs by default.   ·         Maximum Memory: Maximum Memory specifies the maximum amount of memory that a VM can grow to with Dynamic Memory. ·         Memory Demand: Memory Demand is the amount determined by Dynamic Memory as the memory needed by the applications in the VM. In Windows Server 2008 R2 SP1, this is equal to the total amount of committed memory of the VM. ·         Memory Buffer: Memory Buffer is the amount of memory assigned to the VMs in addition to their memory demand to satisfy immediate memory requirements and file cache needs.   Once Dynamic Memory is enabled for a VM, it will start with the “Startup Memory”. After the boot process Dynamic Memory will determine the “Memory Demand” of the VM. Based on this memory demand it will determine the amount of “Memory Buffer” that needs to be assigned to the VM. Dynamic Memory will assign the total of “Memory Demand” and “Memory Buffer” to the VM as long as this value is less than “Maximum Memory” and as long as physical memory is available on the host.   What happens when there is not enough physical memory available on the host?   Once there is not enough physical memory on the host to satisfy VM needs, Dynamic Memory will assign less than needed amount of memory to the VMs based on their importance. A concept known as “Memory Weight” is used to determine how much VMs should be penalized based on their needed amount of memory. “Memory Weight” is a configuration setting on the VM. It can be configured to be higher for the VMs with high performance requirements. Under high memory pressure on the host, the “Memory Weight” of the VMs are evaluated in a relative manner and the VMs with lower relative “Memory Weight” will be penalized more than the ones with higher “Memory Weight”.   Dynamic Memory Configuration   Based on these concepts “Startup Memory”, “Maximum Memory”, “Memory Buffer” and “Memory Weight” can be configured as shown below in Windows Server 2008 R2 SP1 Hyper-V Manager. Memory Demand is automatically calculated by Dynamic Memory once VMs start running.     Dynamic Memory Monitoring    In Windows Server 2008 R2 SP1, Hyper-V Manager displays the memory status of VMs in the following three columns:         ·         Assigned Memory represents the current physical memory assigned to the VM. In regular conditions this will be equal to the sum of “Memory Demand” and “Memory Buffer” assigned to the VM. When there is not enough memory on the host, this value can go below the Memory Demand determined for the VM. ·         Memory Demand displays the current “Memory Demand” determined for the VM. ·         Memory Status displays the current memory status of the VM. This column can represent three values for a VM: o   OK: In this condition the VM is assigned the total of Memory Demand and Memory Buffer it needs. o   Low: In this condition the VM is assigned all the Memory Demand and a certain percentage of the Memory Buffer it needs. o   Warning: In this condition the VM is assigned a lower memory than its Memory Demand. When VMs are running in this condition, it’s likely that they will exhibit performance problems due to internal paging happening in the VM.    So far so good! But how does it work with SQL Server?   SQL Server is aggressive in terms of memory usage for good reasons. This raises the question: How do SQL Server and Dynamic Memory work together? To understand the full story, we’ll first need to understand how SQL Server Memory Management works. This will be covered in our second post in “SQL and Dynamic Memory” series. Meanwhile if you want to dive deeper into Dynamic Memory you can check the below posts from the Windows Virtualization Team Blog:   http://blogs.technet.com/virtualization/archive/2010/03/18/dynamic-memory-coming-to-hyper-v.aspx   http://blogs.technet.com/virtualization/archive/2010/03/25/dynamic-memory-coming-to-hyper-v-part-2.aspx   http://blogs.technet.com/virtualization/archive/2010/04/07/dynamic-memory-coming-to-hyper-v-part-3.aspx   http://blogs.technet.com/b/virtualization/archive/2010/04/21/dynamic-memory-coming-to-hyper-v-part-4.aspx   http://blogs.technet.com/b/virtualization/archive/2010/05/20/dynamic-memory-coming-to-hyper-v-part-5.aspx   http://blogs.technet.com/b/virtualization/archive/2010/07/12/dynamic-memory-coming-to-hyper-v-part-6.aspx   - Serdar Sutay   Originally posted at http://blogs.msdn.com/b/sqlosteam/

    Read the article

  • Building a many-to-many db schema using only an unpredictable number of foreign keys

    - by user1449855
    Good afternoon (at least around here), I have a many-to-many relationship schema that I'm having trouble building. The main problem is that I'm only working with primary and foreign keys (no varchars or enums to simplify things) and the number of many-to-many relationships is not predictable and can increase at any time. I looked around at various questions and couldn't find something that directly addressed this issue. I split the problem in half, so I now have two one-to-many schemas. One is solved but the other is giving me fits. Let's assume table FOO is a standard, boring table that has a simple primary key. It's the one in the one-to-many relationship. Table BAR can relate to multiple keys of FOO. The number of related keys is not known beforehand. An example: From a query FOO returns ids 3, 4, 5. BAR needs a unique key that relates to 3, 4, 5 (though there could be any number of ids returned) The usual join table does not work: Table FOO_BAR primary_key | foo_id | bar_id | Since FOO returns 3 unique keys and here bar_id has a one-to-one relationship with foo_id. Having two join tables does not seem to work either, as it still can't map foo_ids 3, 4, 5 to a single bar_id. Table FOO_TO_BAR primary_key | foo_id | bar_to_foo_id | Table BAR_TO_FOO primary_key | foo_to_bar_id | bar_id | What am I doing wrong? Am I making things more complicated than they are? How should I approach the problem? Thanks a lot for the help.

    Read the article

  • How can I set up multiple dynamic users to update a single network's dynamic IP

    - by d3vid
    On my home network we are allocated a dynamic IP. I want to configure ddclient (or an equivalent) to send IP updates to DNS-O-Matic/OpenDNS only when I am on my home network. I do not want to send IP updates when I'm on my office network. Can this be done? I am prepared to use different FLOSS software or a different free DNS service. Additionally, there are multiple users who may be on the home network or away on other networks. How can we configure ddclient on each machine so that whoever is on the home network updates the IP (i.e. so we don't have to rely on a particular machine being on the network to update the IP). OpenDNS support have said we can't simply install updater software on each machine.

    Read the article

  • Schema Inheritance in BizTalk Server

    - by newbtdev
    Hi, I just wondering if anyone has already tried of doing something like schema inheritance in BizTalk schemas? I am using WCF Adapter and using 'consume adapter service' to generate a schema automatically, what I wanted is instead of always generating a schema and since most of my schema is the same then I want to have something like a base schema. I have this scenario that I'm testing flat file debatching, for debatching I need to set maxoccur property of the schema to '1' but for batch processing it should be '*', instead of creating a two different schemas I want just to create a base schema and inherit from it and then change the maxoccur property in the derived schema. Any help would be appreciated. Many Thanks

    Read the article

  • SQL Server and Hyper-V Dynamic Memory Part 3

    - by SQLOS Team
    In parts 1 and 2 of this series we looked at the basics of Hyper-V Dynamic Memory and SQL Server memory management. In this part Serdar looks at configuration guidelines for SQL Server memory management. Part 3: Configuration Guidelines for Hyper-V Dynamic Memory and SQL Server Now that we understand SQL Server Memory Management and Hyper-V Dynamic Memory basics, let’s take a look at general configuration guidelines in order to utilize benefits of Hyper-V Dynamic Memory in your SQL Server VMs. Requirements Host Operating System Requirements Hyper-V Dynamic Memory feature is introduced with Windows Server 2008 R2 SP1. Therefore in order to use Dynamic Memory for your virtual machines, you need to have Windows Server 2008 R2 SP1 or Microsoft Hyper-V Server 2008 R2 SP1 in your Hyper-V host. Guest Operating System Requirements In addition to this Dynamic Memory is only supported in Standard, Web, Enterprise and Datacenter editions of windows running inside VMs. Make sure that your VM is running one of these editions. For additional requirements on each operating system see “Dynamic Memory Configuration Guidelines” here. SQL Server Requirements All versions of SQL Server support Hyper-V Dynamic Memory. However, only certain editions of SQL Server are aware of dynamically changing system memory. To have a truly dynamic environment for your SQL Server VMs make sure that you are running one of the SQL Server editions listed below: ·         SQL Server 2005 Enterprise ·         SQL Server 2008 Enterprise / Datacenter Editions ·         SQL Server 2008 R2 Enterprise / Datacenter Editions Configuration guidelines for other versions of SQL Server are covered below in the FAQ section. Guidelines for configuring Dynamic Memory Parameters Here is how to configure Dynamic Memory for your SQL VMs in a nutshell: Hyper-V Dynamic Memory Parameter Recommendation Startup RAM 1 GB + SQL Min Server Memory Maximum RAM > SQL Max Server Memory Memory Buffer % 5 Memory Weight Based on performance needs   Startup RAM In order to ensure that your SQL Server VMs can start correctly, ensure that Startup RAM is higher than configured SQL Min Server Memory for your VMs. Otherwise SQL Server service will need to do paging in order to start since it will not be able to see enough memory during startup. Also note that Startup Memory will always be reserved for your VMs. This will guarantee a certain level of performance for your SQL Servers, however setting this too high will limit the consolidation benefits you’ll get out of your virtualization environment. Maximum RAM This one is obvious. If you’ve configured SQL Max Server Memory for your SQL Server, make sure that Dynamic Memory Maximum RAM configuration is higher than this value. Otherwise your SQL Server will not grow to memory values higher than the value configured for Dynamic Memory. Memory Buffer % Memory buffer configuration is used to provision file cache to virtual machines in order to improve performance. Due to the fact that SQL Server is managing its own buffer pool, Memory Buffer setting should be configured to the lowest value possible, 5%. Configuring a higher memory buffer will prevent low resource notifications from Windows Memory Manager and it will prevent reclaiming memory from SQL Server VMs. Memory Weight Memory weight configuration defines the importance of memory to a VM. Configure higher values for the VMs that have higher performance requirements. VMs with higher memory weight will have more memory under high memory pressure conditions on your host. Questions and Answers Q1 – Which SQL Server memory model is best for Dynamic Memory? The best SQL Server model for Dynamic Memory is “Locked Page Memory Model”. This memory model ensures that SQL Server memory is never paged out and it’s also adaptive to dynamically changing memory in the system. This will be extremely useful when Dynamic Memory is attempting to remove memory from SQL Server VMs ensuring no SQL Server memory is paged out. You can find instructions on configuring “Locked Page Memory Model” for your SQL Servers here. Q2 – What about other SQL Server Editions, how should I configure Dynamic Memory for them? Other editions of SQL Server do not adapt to dynamically changing environments. They will determine how much memory they should allocate during startup and don’t change this value afterwards. Therefore make sure that you configure a higher startup memory for your VM because that will be all the memory that SQL Server utilize Tune Maximum Memory and Memory Buffer based on the other workloads running on the system. If there are no other workloads consider using Static Memory for these editions. Q3 – What if I have multiple SQL Server instances in a VM? Having multiple SQL Server instances in a VM is not a general recommendation for predictable performance, manageability and isolation. In order to achieve a predictable behavior make sure that you configure SQL Min Server Memory and SQL Max Server Memory for each instance in the VM. And make sure that: ·         Dynamic Memory Startup Memory is greater than the sum of SQL Min Server Memory values for the instances in the VM ·         Dynamic Memory Maximum Memory is greater than the sum of SQL Max Server Memory values for the instances in the VM Q4 – I’m using Large Page Memory Model for my SQL Server. Can I still use Dynamic Memory? The short answer is no. SQL Server does not dynamically change its memory size when configured with Large Page Memory Model. In virtualized environments Hyper-V provides large page support by default. Most of the time, Large Page Memory Model doesn’t bring any benefits to a SQL Server if it’s running in virtualized environments. Q5 – How do I monitor SQL performance when I’m trying Dynamic Memory on my VMs? Use the performance counters below to monitor memory performance for SQL Server: Process - Working Set: This counter is available in the VM via process performance counters. It represents the actual amount of physical memory being used by SQL Server process in the VM. SQL Server – Buffer Cache Hit Ratio: This counter is available in the VM via SQL Server counters. This represents the paging being done by SQL Server. A rate of 90% or higher is desirable. Conclusion These blog posts are a quick start to a story that will be developing more in the near future. We’re still continuing our testing and investigations to provide more detailed configuration guidelines with example performance numbers with a white paper in the upcoming months. Now it’s time to give SQL Server and Hyper-V Dynamic Memory a try. Use this guidelines to kick-start your environment. See what you think about it and let us know of your experiences. - Serdar Sutay Originally posted at http://blogs.msdn.com/b/sqlosteam/

    Read the article

  • avoid the use of 'mixed=true' in xml schema

    - by Ralph Kretzler
    I am using xjc to convert a schema to java classes. When I am using mixed=true in the schema I am losing the access method for child nodes instead there is a single general content access method. Is there a way to rewrite the schema without using mixed=true. There is no way that I can change the xml so I have to customize the schema. Schema XML camera or camera Thanks, Ralph

    Read the article

  • Active Directory and Apple's Workgroup Manager

    - by qbn
    I thought I'd share my experiences here. I work for a small business with only ~20 users. I wanted the ability to use managed client preferences to assign things like the software update server. Basically the ability to manage my Macs easily and in a native way. At first I tried the magic triangle solution, but I found this to be very complicated. Not only does it require a Mac OS X Server, but it gives you two points of failure. Additionally each Mac workstation must be bound to both servers. Eventually I sucked it up and went with the schema changes documented here. I was hesitant at first, because the instructions require a lot of manual work. However it was fairly basic and only took me about an hour and a half. Below you'll find the schema changes file that was a result of my work. I followed the instructions exactly and double checked everything, after six months of having this in place things have been running great. Too good to not share. I hope I save someone a couple of hours. # ================================================================== # # This file should be imported with the following command: # ldifde -i -u -f Apple AD Schema Changes.ldf -s server:port -b username domain password -j . -c "cn=Configuration,dc=X" #configurationNamingContext # LDIFDE.EXE from AD/AM V1.0 or above must be used. # This LDIF file should be imported into AD or AD/AM. It may not work for other directories. # # ================================================================== # ================================================================== # Attributes # ================================================================== # Attribute: apple-category dn: cn=apple-category,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.10.4 ldapDisplayName: apple-category attributeSyntax: 2.5.5.12 adminDescription: Category for the computer or neighborhood oMSyntax: 64 systemOnly: FALSE # Attribute: apple-computeralias dn: cn=apple-computeralias,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.20.3 ldapDisplayName: apple-computeralias attributeSyntax: 2.5.5.12 adminDescription: XML plist referring to a computer record oMSyntax: 64 systemOnly: FALSE # Attribute: apple-computer-list-groups dn: cn=apple-computer-list-groups,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.11.4 ldapDisplayName: apple-computer-list-groups attributeSyntax: 2.5.5.12 adminDescription: groups oMSyntax: 64 systemOnly: FALSE # Attribute: apple-computers dn: cn=apple-computers,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.11.3 ldapDisplayName: apple-computers attributeSyntax: 2.5.5.12 adminDescription: computers oMSyntax: 64 systemOnly: FALSE # Attribute: apple-data-stamp dn: cn=apple-data-stamp,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.12.2 ldapDisplayName: apple-data-stamp attributeSyntax: 2.5.5.5 adminDescription: data stamp oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-dns-domain dn: cn=apple-dns-domain,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.18.1 ldapDisplayName: apple-dns-domain attributeSyntax: 2.5.5.12 adminDescription: DNS domain oMSyntax: 64 systemOnly: FALSE # Attribute: apple-dnsname dn: cn=apple-dnsname,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.19.4 ldapDisplayName: apple-dnsname attributeSyntax: 2.5.5.12 adminDescription: DNS name oMSyntax: 64 systemOnly: FALSE # Attribute: apple-dns-nameserver dn: cn=apple-dns-nameserver,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.18.2 ldapDisplayName: apple-dns-nameserver attributeSyntax: 2.5.5.12 adminDescription: DNS name server list oMSyntax: 64 systemOnly: FALSE # Attribute: apple-group-homeowner dn: cn=apple-group-homeowner,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.14.2 ldapDisplayName: apple-group-homeowner attributeSyntax: 2.5.5.5 adminDescription: group home owner settings oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-group-homeurl dn: cn=apple-group-homeurl,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.14.1 ldapDisplayName: apple-group-homeurl attributeSyntax: 2.5.5.5 adminDescription: group home url oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-imhandle dn: cn=apple-imhandle,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.21 ldapDisplayName: apple-imhandle attributeSyntax: 2.5.5.12 adminDescription: IM handle (service:account name) oMSyntax: 64 systemOnly: FALSE # Attribute: apple-keyword dn: cn=apple-keyword,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.19 ldapDisplayName: apple-keyword attributeSyntax: 2.5.5.12 adminDescription: keywords oMSyntax: 64 systemOnly: FALSE # Attribute: apple-mcxflags dn: cn=apple-mcxflags,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.10 ldapDisplayName: apple-mcxflags attributeSyntax: 2.5.5.12 adminDescription: mcx flags oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-mcxsettings dn: cn=apple-mcxsettings,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.16 ldapDisplayName: apple-mcxsettings attributeSyntax: 2.5.5.12 adminDescription: mcx settings oMSyntax: 64 systemOnly: FALSE # Attribute: apple-neighborhoodalias dn: cn=apple-neighborhoodalias,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.20.2 ldapDisplayName: apple-neighborhoodalias attributeSyntax: 2.5.5.12 adminDescription: XML plist referring to another neighborhood record oMSyntax: 64 systemOnly: FALSE # Attribute: apple-networkview dn: cn=apple-networkview,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.10.3 ldapDisplayName: apple-networkview attributeSyntax: 2.5.5.12 adminDescription: Network view for the computer oMSyntax: 64 systemOnly: FALSE # Attribute: apple-nodepathxml dn: cn=apple-nodepathxml,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.20.1 ldapDisplayName: apple-nodepathxml attributeSyntax: 2.5.5.12 adminDescription: XML plist of directory node path oMSyntax: 64 systemOnly: FALSE # Attribute: apple-service-location dn: cn=apple-service-location,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.19.5 ldapDisplayName: apple-service-location attributeSyntax: 2.5.5.12 adminDescription: Service location oMSyntax: 64 systemOnly: FALSE # Attribute: apple-service-port dn: cn=apple-service-port,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.19.3 ldapDisplayName: apple-service-port attributeSyntax: 2.5.5.9 adminDescription: Service port number oMSyntax: 2 systemOnly: FALSE # Attribute: apple-service-type dn: cn=apple-service-type,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.19.1 ldapDisplayName: apple-service-type attributeSyntax: 2.5.5.5 adminDescription: type of service oMSyntax: 22 systemOnly: FALSE # Attribute: apple-service-url dn: cn=apple-service-url,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.19.2 ldapDisplayName: apple-service-url attributeSyntax: 2.5.5.5 adminDescription: URL of service oMSyntax: 22 systemOnly: FALSE # Attribute: apple-user-authenticationhint dn: cn=apple-user-authenticationhint,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.15 ldapDisplayName: apple-user-authenticationhint attributeSyntax: 2.5.5.12 adminDescription: password hint oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-user-class dn: cn=apple-user-class,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.7 ldapDisplayName: apple-user-class attributeSyntax: 2.5.5.5 adminDescription: user class oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-user-homequota dn: cn=apple-user-homequota,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.8 ldapDisplayName: apple-user-homequota attributeSyntax: 2.5.5.5 adminDescription: home directory quota oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-user-homesoftquota dn: cn=apple-user-homesoftquota,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.17 ldapDisplayName: apple-user-homesoftquota attributeSyntax: 2.5.5.5 adminDescription: home directory soft quota oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-user-homeurl dn: cn=apple-user-homeurl,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.6 ldapDisplayName: apple-user-homeurl attributeSyntax: 2.5.5.5 adminDescription: home directory URL oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-user-mailattribute dn: cn=apple-user-mailattribute,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.9 ldapDisplayName: apple-user-mailattribute attributeSyntax: 2.5.5.12 adminDescription: mail attribute oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-user-picture dn: cn=apple-user-picture,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.12 ldapDisplayName: apple-user-picture attributeSyntax: 2.5.5.12 adminDescription: picture oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-user-printattribute dn: cn=apple-user-printattribute,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.13 ldapDisplayName: apple-user-printattribute attributeSyntax: 2.5.5.12 adminDescription: print attribute oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-webloguri dn: cn=apple-webloguri,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.1.22 ldapDisplayName: apple-webloguri attributeSyntax: 2.5.5.12 adminDescription: Weblog URI oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: apple-xmlplist dn: cn=apple-xmlplist,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.17.1 ldapDisplayName: apple-xmlplist attributeSyntax: 2.5.5.12 adminDescription: XML plist data oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: ipHostNumber dn: cn=ipHostNumber,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.1.1.1.19 ldapDisplayName: ipHostNumber attributeSyntax: 2.5.5.5 adminDescription: IP address oMSyntax: 22 systemOnly: FALSE rangeUpper: 128 # Attribute: macAddress dn: cn=macAddress,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.1.1.1.22 ldapDisplayName: macAddress attributeSyntax: 2.5.5.5 adminDescription: MAC address oMSyntax: 22 systemOnly: FALSE rangeUpper: 128 # Attribute: mountDirectory dn: cn=apple-mountDirectory,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.8.1 ldapDisplayName: mountDirectory attributeSyntax: 2.5.5.12 adminDescription: mount path oMSyntax: 64 isSingleValued: TRUE systemOnly: FALSE # Attribute: mountDumpFrequency dn: cn=apple-mountDumpFrequency,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.8.4 ldapDisplayName: mountDumpFrequency attributeSyntax: 2.5.5.5 adminDescription: mount dump frequency oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: mountOption dn: cn=apple-mountOption,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.8.3 ldapDisplayName: mountOption attributeSyntax: 2.5.5.5 adminDescription: mount options oMSyntax: 22 systemOnly: FALSE # Attribute: mountPassNo dn: cn=apple-mountPassNo,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.8.5 ldapDisplayName: mountPassNo attributeSyntax: 2.5.5.5 adminDescription: mount passno oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: mountType dn: cn=apple-mountType,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.63.1000.1.1.1.8.2 ldapDisplayName: mountType attributeSyntax: 2.5.5.5 adminDescription: mount VFS type oMSyntax: 22 isSingleValued: TRUE systemOnly: FALSE # Attribute: ttl dn: cn=ttl,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: attributeSchema attributeId: 1.3.6.1.4.1.250.1.60 ldapDisplayName: ttl attributeSyntax: 2.5.5.9 oMSyntax: 2 isSingleValued: TRUE systemOnly: FALSE dn: changetype: modify add: schemaUpdateNow schemaUpdateNow: 1 - # ================================================================== # Classes # ================================================================== # Class: apple-computer dn: cn=apple-computer,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.10 ldapDisplayName: apple-computer adminDescription: computer objectClassCategory: 3 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-category mayContain: 1.3.6.1.4.1.63.1000.1.1.1.10.4 # mayContain: apple-computer-list-groups mayContain: 1.3.6.1.4.1.63.1000.1.1.1.11.4 # mayContain: apple-keyword mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.19 # mayContain: apple-mcxflags mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.10 # mayContain: apple-mcxsettings mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.16 # mayContain: apple-networkview mayContain: 1.3.6.1.4.1.63.1000.1.1.1.10.3 # mayContain: apple-service-url mayContain: 1.3.6.1.4.1.63.1000.1.1.1.19.2 # mayContain: apple-xmlplist mayContain: 1.3.6.1.4.1.63.1000.1.1.1.17.1 # mayContain: macAddress mayContain: 1.3.6.1.1.1.1.22 # mayContain: ttl mayContain: 1.3.6.1.4.1.250.1.60 # Class: apple-computer-list dn: cn=apple-computer-list,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.11 ldapDisplayName: apple-computer-list adminDescription: computer list objectClassCategory: 1 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-computer-list-groups mayContain: 1.3.6.1.4.1.63.1000.1.1.1.11.4 # mayContain: apple-computers mayContain: 1.3.6.1.4.1.63.1000.1.1.1.11.3 # mayContain: apple-keyword mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.19 # mayContain: apple-mcxflags mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.10 # mayContain: apple-mcxsettings mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.16 possSuperiors: organizationalUnit possSuperiors: container # Class: apple-configuration dn: cn=apple-configuration,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.12 ldapDisplayName: apple-configuration adminDescription: configuration objectClassCategory: 3 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-data-stamp mayContain: 1.3.6.1.4.1.63.1000.1.1.1.12.2 # mayContain: apple-keyword mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.19 # mayContain: apple-xmlplist mayContain: 1.3.6.1.4.1.63.1000.1.1.1.17.1 # mayContain: ttl mayContain: 1.3.6.1.4.1.250.1.60 possSuperiors: organizationalUnit possSuperiors: container # Class: apple-group dn: cn=apple-group,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.14 ldapDisplayName: apple-group adminDescription: group account objectClassCategory: 3 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-group-homeowner mayContain: 1.3.6.1.4.1.63.1000.1.1.1.14.2 # mayContain: apple-group-homeurl mayContain: 1.3.6.1.4.1.63.1000.1.1.1.14.1 # mayContain: apple-keyword mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.19 # mayContain: apple-mcxflags mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.10 # mayContain: apple-mcxsettings mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.16 # mayContain: apple-user-picture mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.12 # mayContain: ttl mayContain: 1.3.6.1.4.1.250.1.60 # Class: apple-location dn: cn=apple-location,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.18 ldapDisplayName: apple-location objectClassCategory: 1 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-dns-domain mayContain: 1.3.6.1.4.1.63.1000.1.1.1.18.1 # mayContain: apple-dns-nameserver mayContain: 1.3.6.1.4.1.63.1000.1.1.1.18.2 possSuperiors: organizationalUnit possSuperiors: container # Class: apple-neighborhood dn: cn=apple-neighborhood,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.20 ldapDisplayName: apple-neighborhood objectClassCategory: 1 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-category mayContain: 1.3.6.1.4.1.63.1000.1.1.1.10.4 # mayContain: apple-computeralias mayContain: 1.3.6.1.4.1.63.1000.1.1.1.20.3 # mayContain: apple-keyword mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.19 # mayContain: apple-neighborhoodalias mayContain: 1.3.6.1.4.1.63.1000.1.1.1.20.2 # mayContain: apple-nodepathxml mayContain: 1.3.6.1.4.1.63.1000.1.1.1.20.1 # mayContain: apple-xmlplist mayContain: 1.3.6.1.4.1.63.1000.1.1.1.17.1 # mayContain: ttl mayContain: 1.3.6.1.4.1.250.1.60 possSuperiors: 2.5.6.5 possSuperiors: container # Class: apple-serverassistant-config dn: cn=apple-serverassistant-config,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.17 ldapDisplayName: apple-serverassistant-config objectClassCategory: 1 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-xmlplist mayContain: 1.3.6.1.4.1.63.1000.1.1.1.17.1 possSuperiors: organizationalUnit possSuperiors: container # Class: apple-service dn: cn=apple-service,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.19 ldapDisplayName: apple-service objectClassCategory: 1 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mustContain: apple-service-type mustContain: 1.3.6.1.4.1.63.1000.1.1.1.19.1 # mayContain: apple-dnsname mayContain: 1.3.6.1.4.1.63.1000.1.1.1.19.4 # mayContain: apple-keyword mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.19 # mayContain: apple-service-location mayContain: 1.3.6.1.4.1.63.1000.1.1.1.19.5 # mayContain: apple-service-port mayContain: 1.3.6.1.4.1.63.1000.1.1.1.19.3 # mayContain: apple-service-url mayContain: 1.3.6.1.4.1.63.1000.1.1.1.19.2 # mayContain: ipHostNumber mayContain: 1.3.6.1.1.1.1.19 possSuperiors: organizationalUnit possSuperiors: container # Class: apple-user dn: cn=apple-user,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.1 ldapDisplayName: apple-user adminDescription: apple user account objectClassCategory: 3 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: apple-imhandle mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.21 # mayContain: apple-keyword mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.19 # mayContain: apple-mcxflags mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.10 # mayContain: apple-mcxsettings mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.16 # mayContain: apple-user-authenticationhint mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.15 # mayContain: apple-user-class mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.7 # mayContain: apple-user-homequota mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.8 # mayContain: apple-user-homesoftquota mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.17 # mayContain: apple-user-homeurl mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.6 # mayContain: apple-user-mailattribute mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.9 # mayContain: apple-user-picture mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.12 # mayContain: apple-user-printattribute mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.13 # mayContain: apple-webloguri mayContain: 1.3.6.1.4.1.63.1000.1.1.1.1.22 # Class: mount dn: cn=apple-mount,cn=Schema,cn=Configuration,dc=X changetype: ntdsschemaadd objectClass: classSchema governsID: 1.3.6.1.4.1.63.1000.1.1.2.8 ldapDisplayName: mount objectClassCategory: 1 # subclassOf: top subclassOf: 2.5.6.0 # rdnAttId: cn rdnAttId: 2.5.4.3 # mayContain: mountDirectory mayContain: 1.3.6.1.4.1.63.1000.1.1.1.8.1 # mayContain: mountDumpFrequency mayContain: 1.3.6.1.4.1.63.1000.1.1.1.8.4 # mayContain: mountOption mayContain: 1.3.6.1.4.1.63.1000.1.1.1.8.3 # mayContain: mountPassNo mayContain: 1.3.6.1.4.1.63.1000.1.1.1.8.5 # mayContain: mountType mayContain: 1.3.6.1.4.1.63.1000.1.1.1.8.2 possSuperiors: 2.5.6.5 possSuperiors: container dn: changetype: modify add: schemaUpdateNow schemaUpdateNow: 1 - # ================================================================== # Updating present elements # ================================================================== # Add the new class to the user object dn: CN=User,CN=Schema,CN=Configuration,DC=X changetype: modify add: auxiliaryClass auxiliaryClass: apple-user - # Add the new class to the computer object dn: CN=Computer,CN=Schema,CN=Configuration,DC=X changetype: modify add: auxiliaryClass auxiliaryClass: apple-computer - # Add the new class to the group object dn: CN=Group,CN=Schema,CN=Configuration,DC=X changetype: modify add: auxiliaryClass auxiliaryClass: apple-group - # Add the new class to the configuration object dn: CN=Configuration,CN=Schema,CN=Configuration,DC=X changetype: modify add: auxiliaryClass auxiliaryClass: apple-configuration -

    Read the article

  • C# 4.0: Dynamic Programming

    - by Paulo Morgado
    The major feature of C# 4.0 is dynamic programming. Not just dynamic typing, but dynamic in broader sense, which means talking to anything that is not statically typed to be a .NET object. Dynamic Language Runtime The Dynamic Language Runtime (DLR) is piece of technology that unifies dynamic programming on the .NET platform, the same way the Common Language Runtime (CLR) has been a common platform for statically typed languages. The CLR always had dynamic capabilities. You could always use reflection, but its main goal was never to be a dynamic programming environment and there were some features missing. The DLR is built on top of the CLR and adds those missing features to the .NET platform. The Dynamic Language Runtime is the core infrastructure that consists of: Expression Trees The same expression trees used in LINQ, now improved to support statements. Dynamic Dispatch Dispatches invocations to the appropriate binder. Call Site Caching For improved efficiency. Dynamic languages and languages with dynamic capabilities are built on top of the DLR. IronPython and IronRuby were already built on top of the DLR, and now, the support for using the DLR is being added to C# and Visual Basic. Other languages built on top of the CLR are expected to also use the DLR in the future. Underneath the DLR there are binders that talk to a variety of different technologies: .NET Binder Allows to talk to .NET objects. JavaScript Binder Allows to talk to JavaScript in SilverLight. IronPython Binder Allows to talk to IronPython. IronRuby Binder Allows to talk to IronRuby. COM Binder Allows to talk to COM. Whit all these binders it is possible to have a single programming experience to talk to all these environments that are not statically typed .NET objects. The dynamic Static Type Let’s take this traditional statically typed code: Calculator calculator = GetCalculator(); int sum = calculator.Sum(10, 20); Because the variable that receives the return value of the GetCalulator method is statically typed to be of type Calculator and, because the Calculator type has an Add method that receives two integers and returns an integer, it is possible to call that Sum method and assign its return value to a variable statically typed as integer. Now lets suppose the calculator was not a statically typed .NET class, but, instead, a COM object or some .NET code we don’t know he type of. All of the sudden it gets very painful to call the Add method: object calculator = GetCalculator(); Type calculatorType = calculator.GetType(); object res = calculatorType.InvokeMember("Add", BindingFlags.InvokeMethod, null, calculator, new object[] { 10, 20 }); int sum = Convert.ToInt32(res); And what if the calculator was a JavaScript object? ScriptObject calculator = GetCalculator(); object res = calculator.Invoke("Add", 10, 20); int sum = Convert.ToInt32(res); For each dynamic domain we have a different programming experience and that makes it very hard to unify the code. With C# 4.0 it becomes possible to write code this way: dynamic calculator = GetCalculator(); int sum = calculator.Add(10, 20); You simply declare a variable who’s static type is dynamic. dynamic is a pseudo-keyword (like var) that indicates to the compiler that operations on the calculator object will be done dynamically. The way you should look at dynamic is that it’s just like object (System.Object) with dynamic semantics associated. Anything can be assigned to a dynamic. dynamic x = 1; dynamic y = "Hello"; dynamic z = new List<int> { 1, 2, 3 }; At run-time, all object will have a type. In the above example x is of type System.Int32. When one or more operands in an operation are typed dynamic, member selection is deferred to run-time instead of compile-time. Then the run-time type is substituted in all variables and normal overload resolution is done, just like it would happen at compile-time. The result of any dynamic operation is always dynamic and, when a dynamic object is assigned to something else, a dynamic conversion will occur. Code Resolution Method double x = 1.75; double y = Math.Abs(x); compile-time double Abs(double x) dynamic x = 1.75; dynamic y = Math.Abs(x); run-time double Abs(double x) dynamic x = 2; dynamic y = Math.Abs(x); run-time int Abs(int x) The above code will always be strongly typed. The difference is that, in the first case the method resolution is done at compile-time, and the others it’s done ate run-time. IDynamicMetaObjectObject The DLR is pre-wired to know .NET objects, COM objects and so forth but any dynamic language can implement their own objects or you can implement your own objects in C# through the implementation of the IDynamicMetaObjectProvider interface. When an object implements IDynamicMetaObjectProvider, it can participate in the resolution of how method calls and property access is done. The .NET Framework already provides two implementations of IDynamicMetaObjectProvider: DynamicObject : IDynamicMetaObjectProvider The DynamicObject class enables you to define which operations can be performed on dynamic objects and how to perform those operations. For example, you can define what happens when you try to get or set an object property, call a method, or perform standard mathematical operations such as addition and multiplication. ExpandoObject : IDynamicMetaObjectProvider The ExpandoObject class enables you to add and delete members of its instances at run time and also to set and get values of these members. This class supports dynamic binding, which enables you to use standard syntax like sampleObject.sampleMember, instead of more complex syntax like sampleObject.GetAttribute("sampleMember").

    Read the article

  • SQL Server and Hyper-V Dynamic Memory Part 2

    - by SQLOS Team
    Part 1 of this series was an introduction and overview of Hyper-V Dynamic Memory. This part looks at SQL Server memory management and how the SQL engine responds to changing OS memory conditions.   Part 2: SQL Server Memory Management As with any Windows process, sqlserver.exe has a virtual address space (VAS) of 4GB on 32-bit and 8TB in 64-bit editions. Pages in its VAS are mapped to pages in physical memory when the memory is committed and referenced for the first time. The collection of VAS pages that have been recently referenced is known as the Working Set. How and when SQL Server allocates virtual memory and grows its working set depends on the memory model it uses. SQL Server supports three basic memory models:   1. Conventional Memory Model   The Conventional model is the default SQL Server memory model and has the following properties: - Dynamic - can grow or shrink its working set in response to load and external (operating system) memory conditions. - OS uses 4K pages – (not to be confused with SQL Server “pages” which are 8K regions of committed memory).- Pageable - Can be paged out to disk by the operating system.   2. Locked Page Model The locked page memory model is set when SQL Server is started with "Lock Pages in Memory" privilege*. It has the following characteristics: - Dynamic - can grow or shrink its working set in the same way as the Conventional model.- OS uses 4K pages - Non-Pageable – When memory is committed it is locked in memory, meaning that it will remain backed by physical memory and will not be paged out by the operating system. A common misconception is to interpret "locked" as non-dynamic. A SQL Server instance using the locked page memory model will grow and shrink (allocate memory and release memory) in response to changing workload and OS memory conditions in the same way as it does with the conventional model.   This is an important consideration when we look at Hyper-V Dynamic Memory – “locked” memory works perfectly well with “dynamic” memory.   * Note in “Denali” (Standard Edition and above), and in SQL 2008 R2 64-bit (Enterprise and above editions) the Lock Pages in Memory privilege is all that is required to set this model. In 2008 R2 64-Bit standard edition it also requires trace flag 845 to be set, in 2008 R2 32-bit editions it requires sp_configure 'awe enabled' 1.   3. Large Page Model The Large page model is set using trace flag 834 and potentially offers a small performance boost for systems that are configured with large pages. It is characterized by: - Static - memory is allocated at startup and does not change. - OS uses large (>2MB) pages - Non-Pageable The large page model is supported with Hyper-V Dynamic Memory (and Hyper-V also supports large pages), but you get no benefit from using Dynamic Memory with this model since SQL Server memory does not grow or shrink. The rest of this article will focus on the locked and conventional SQL Server memory models.   When does SQL Server grow? For “dynamic” configurations (Conventional and Locked memory models), the sqlservr.exe process grows – allocates and commits memory from the OS – in response to a workload. As much memory is allocated as is required to optimally run the query and buffer data for future queries, subject to limitations imposed by:   - SQL Server max server memory setting. If this configuration option is set, the buffer pool is not allowed to grow to more than this value. In SQL Server 2008 this value represents single page allocations, and in “Denali” it represents any size page allocations and also managed CLR procedure allocations.   - Memory signals from OS. The operating system sets a signal on memory resource notification objects to indicate whether it has memory available or whether it is low on available memory. If there is only 32MB free for every 4GB of memory a low memory signal is set, which continues until 64MB/4GB is free. If there is 96MB/4GB free the operating system sets a high memory signal. SQL Server only allocates memory when the high memory signal is set.   To summarize, for SQL Server to grow you need three conditions: a workload, max server memory setting higher than the current allocation, high memory signals from the OS.    When does SQL Server shrink caches? SQL Server as a rule does not like to return memory to the OS, but it will shrink its caches in response to memory pressure. Memory pressure can be divided into “internal” and “external”.   - External memory pressure occurs when the operating system is running low on memory and low memory signals are set. The SQL Server Resource Monitor checks for low memory signals approximately every 5 seconds and it will attempt to free memory until the signals stop.   To free memory SQL Server does the following: ·         Frees unused memory. ·         Notifies Memory Manager Clients to release memory o   Caches – Free unreferenced cache objects. o   Buffer pool - Based on oldest access times.   The freed memory is released back to the operating system. This process continues until the low memory resource notifications stop.    - Internal memory pressure occurs when the size of different caches and allocations increase but the SQL Server process needs to keep its total memory within a target value. For example if max server memory is set and certain caches are growing large, it will cause SQL to free memory for re-use internally, but not to release memory back to the OS. If you lower the value of max server memory you will generate internal memory pressure that will cause SQL to release memory back to the OS.    Memory pressure handling has not changed much since SQL 2005 and it was described in detail in a blog post by Slava Oks.   Note that SQL Server Express is an exception to the above behavior. Unlike other editions it does not assume it is the most important process running on the system but tries to be more “desktop” friendly. It will empty its working set after a period of inactivity.   How does SQL Server respond to changing OS memory?    In SQL Server 2005 support for Hot-Add memory was introduced. This feature, available in Enterprise and above editions, allows the server to make use of any extra physical memory that was added after SQL Server started. Being able to add physical memory when the system is running is limited to specialized hardware, but with the Hyper-V Dynamic Memory feature, when new memory is allocated to a guest virtual machine, it looks like hot-add physical memory to the guest. What this means is that thanks to the hot-add memory feature, SQL Server 2005 and higher can dynamically grow if more “physical” memory is granted to a guest VM by Hyper-V dynamic memory.   SQL Server checks OS memory every second and dynamically adjusts its “target” (based on available OS memory and max server memory) accordingly.   In “Denali” Standard Edition will also have sqlserver.exe support for hot-add memory when running virtualized (i.e. detecting and acting on Hyper-V Dynamic Memory allocations).   How does a SQL Server workload in a guest VM impact Hyper-V dynamic memory scheduling?   When a SQL workload causes the sqlserver.exe process to grow its working set, the Hyper-V memory scheduler will detect memory pressure in the guest VM and add memory to it. SQL Server will then detect the extra memory and grow according to workload demand. In our tests we have seen this feedback process cause a guest VM to grow quickly in response to SQL workload - we are still working on characterizing this ramp-up.    How does SQL Server respond when Hyper-V removes memory from a guest VM through ballooning?   If pressure from other VM's cause Hyper-V Dynamic Memory to take memory away from a VM through ballooning (allocating memory with a virtual device driver and returning it to the host OS), Windows Memory Manager will page out unlocked portions of memory and signal low resource notification events. When SQL Server detects these events it will shrink memory until the low memory notifications stop (see cache shrinking description above).    This raises another question. Can we make SQL Server release memory more readily and hence behave more "dynamically" without compromising performance? In certain circumstances where the application workload is predictable it may be possible to have a job which varies "max server memory" according to need, lowering it when the engine is inactive and raising it before a period of activity. This would have limited applicaability but it is something we're looking into.   What Memory Management changes are there in SQL Server “Denali”?   In SQL Server “Denali” (aka SQL11) the Memory Manager has been re-written to be more efficient. The main changes are summarized in this post. An important change with respect to Hyper-V Dynamic Memory support is that now the max server memory setting includes any size page allocations and managed CLR procedure allocations it now represents a closer approximation to total sqlserver.exe memory usage. This makes it easier to calculate a value for max server memory, which becomes important when configuring virtual machines to work well with Hyper-V Dynamic Memory Startup and Maximum RAM settings.   Another important change is no more AWE or hot-add support for 32-bit edition. This means if you're running a 32-bit edition of Denali you're limited to a 4GB address space and will not be able to take advantage of dynamically added OS memory that wasn't present when SQL Server started (though Hyper-V Dynamic Memory is still a supported configuration).   In part 3 we’ll develop some best practices for configuring and using SQL Server with Dynamic Memory. Originally posted at http://blogs.msdn.com/b/sqlosteam/

    Read the article

  • How to compile a schema that uses a DataSet (xs:schema)?

    - by Yaron Naveh
    I have created the simplest web service in c#: public void AddData(DataSet ds) The generated schema (Wsdl) looks like this: <s:schema xmlns:s="http://www.w3.org/2001/XMLSchema"> ... <s:element ref="s:schema" /> ... </s:schema> Note the schema does not contain any import/include elements. I am trying to load this schema to a c# System.Xml.XmlSchema and add it to System.Xml.XmlSchemaSet: var set = new XmlSchemaSet(); var fs = new FileStream(@"c:\temp\schema.xsd", FileMode.Open); var s = XmlSchema.Read(fs, null); set.Add(s); set.Compile(); The last line throws this exception: The 'http://www.w3.org/2001/XMLSchema:schema' element is not declared. It kind of makes sense: The schema generated by .Net uses the "s:schema" type which is declared in a schema which is not imported. Why does .Net create a non valid schema? How to compile the schema anyway? Whay I did is download the schema in http://www.w3.org/2001/XMLSchema and added it to the XmlSchemaSet also. This did not work since that online schema contains DTD definition. I had to manually remove it and now all works. Does this make sense or am I missing something?

    Read the article

  • Is the RESTORE process dependent on schema?

    - by Martin Aatmaa
    Let's say I have two database instances: InstanceA - Production server InstanceB - Test server My workflow is to deploy new schema changes to InstanceB first, test them, and then deploy them to InstanceA. So, at any one time, the instance schema relationship looks like this: InstanceA - Schema Version 1.5 InstanceB - Schema Version 1.6 (new version being tested) An additional part of my workflow is to keep the data in InstanceB as fresh as possible. To fulfill this, I am taking the database backups of InstanceA and applying them (restoring them) to InstanceB. My question is, how does schema version affect the restoral process? I know I can do this: Backup InstanceA - Schema Version 1.5 Restore to InstanceB - Schema Version 1.5 But can I do this? Backup InstanceA - Schema Version 1.5 Restore to InstanceB - Schema Version 1.6 (new version being tested) If no, what would the failure look like? If yes, would the type of schema change matter? For example, if Schema Version 1.6 differed from Schema Version 1.5 by just having an altered storec proc, I imagine that this type of schema change should't affect the restoral process. On the other hand, if Schema Version 1.6 differed from Schema Version 1.5 by having a different table definition (say, an additional column), I image this would affect the restoral process. I hope I've made this clear enough. Thanks in advance for any input!

    Read the article

  • Oracle Data Mining a Star Schema: Telco Churn Case Study

    - by charlie.berger
    There is a complete and detailed Telco Churn case study "How to" Blog Series just posted by Ari Mozes, ODM Dev. Manager.  In it, Ari provides detailed guidance in how to leverage various strengths of Oracle Data Mining including the ability to: mine Star Schemas and join tables and views together to obtain a complete 360 degree view of a customer combine transactional data e.g. call record detail (CDR) data, etc. define complex data transformation, model build and model deploy analytical methodologies inside the Database  His blog is posted in a multi-part series.  Below are some opening excerpts for the first 3 blog entries.  This is an excellent resource for any novice to skilled data miner who wants to gain competitive advantage by mining their data inside the Oracle Database.  Many thanks Ari! Mining a Star Schema: Telco Churn Case Study (1 of 3) One of the strengths of Oracle Data Mining is the ability to mine star schemas with minimal effort.  Star schemas are commonly used in relational databases, and they often contain rich data with interesting patterns.  While dimension tables may contain interesting demographics, fact tables will often contain user behavior, such as phone usage or purchase patterns.  Both of these aspects - demographics and usage patterns - can provide insight into behavior.Churn is a critical problem in the telecommunications industry, and companies go to great lengths to reduce the churn of their customer base.  One case study1 describes a telecommunications scenario involving understanding, and identification of, churn, where the underlying data is present in a star schema.  That case study is a good example for demonstrating just how natural it is for Oracle Data Mining to analyze a star schema, so it will be used as the basis for this series of posts...... Mining a Star Schema: Telco Churn Case Study (2 of 3) This post will follow the transformation steps as described in the case study, but will use Oracle SQL as the means for preparing data.  Please see the previous post for background material, including links to the case study and to scripts that can be used to replicate the stages in these posts.1) Handling missing values for call data recordsThe CDR_T table records the number of phone minutes used by a customer per month and per call type (tariff).  For example, the table may contain one record corresponding to the number of peak (call type) minutes in January for a specific customer, and another record associated with international calls in March for the same customer.  This table is likely to be fairly dense (most type-month combinations for a given customer will be present) due to the coarse level of aggregation, but there may be some missing values.  Missing entries may occur for a number of reasons: the customer made no calls of a particular type in a particular month, the customer switched providers during the timeframe, or perhaps there is a data entry problem.  In the first situation, the correct interpretation of a missing entry would be to assume that the number of minutes for the type-month combination is zero.  In the other situations, it is not appropriate to assume zero, but rather derive some representative value to replace the missing entries.  The referenced case study takes the latter approach.  The data is segmented by customer and call type, and within a given customer-call type combination, an average number of minutes is computed and used as a replacement value.In SQL, we need to generate additional rows for the missing entries and populate those rows with appropriate values.  To generate the missing rows, Oracle's partition outer join feature is a perfect fit.  select cust_id, cdre.tariff, cdre.month, minsfrom cdr_t cdr partition by (cust_id) right outer join     (select distinct tariff, month from cdr_t) cdre     on (cdr.month = cdre.month and cdr.tariff = cdre.tariff);   ....... Mining a Star Schema: Telco Churn Case Study (3 of 3) Now that the "difficult" work is complete - preparing the data - we can move to building a predictive model to help identify and understand churn.The case study suggests that separate models be built for different customer segments (high, medium, low, and very low value customer groups).  To reduce the data to a single segment, a filter can be applied: create or replace view churn_data_high asselect * from churn_prep where value_band = 'HIGH'; It is simple to take a quick look at the predictive aspects of the data on a univariate basis.  While this does not capture the more complex multi-variate effects as would occur with the full-blown data mining algorithms, it can give a quick feel as to the predictive aspects of the data as well as validate the data preparation steps.  Oracle Data Mining includes a predictive analytics package which enables quick analysis. begin  dbms_predictive_analytics.explain(   'churn_data_high','churn_m6','expl_churn_tab'); end; /select * from expl_churn_tab where rank <= 5 order by rank; ATTRIBUTE_NAME       ATTRIBUTE_SUBNAME EXPLANATORY_VALUE RANK-------------------- ----------------- ----------------- ----------LOS_BAND                                      .069167052          1MINS_PER_TARIFF_MON  PEAK-5                   .034881648          2REV_PER_MON          REV-5                    .034527798          3DROPPED_CALLS                                 .028110322          4MINS_PER_TARIFF_MON  PEAK-4                   .024698149          5From the above results, it is clear that some predictors do contain information to help identify churn (explanatory value > 0).  The strongest uni-variate predictor of churn appears to be the customer's (binned) length of service.  The second strongest churn indicator appears to be the number of peak minutes used in the most recent month.  The subname column contains the interior piece of the DM_NESTED_NUMERICALS column described in the previous post.  By using the object relational approach, many related predictors are included within a single top-level column. .....   NOTE:  These are just EXCERPTS.  Click here to start reading the Oracle Data Mining a Star Schema: Telco Churn Case Study from the beginning.    

    Read the article

  • Cannot validate xml doc againest a xsd schema (Cannot find the declaration of element 'replyMessage

    - by Daziplqa
    Hi Guyz, I am using the following code to validate an an XML file against a XSD schema package com.forat.xsd; import java.io.IOException; import java.net.URL; import javax.xml.XMLConstants; import javax.xml.transform.Source; import javax.xml.transform.stream.StreamSource; import javax.xml.validation.Schema; import javax.xml.validation.SchemaFactory; import javax.xml.validation.Validator; import org.xml.sax.ErrorHandler; import org.xml.sax.SAXException; import org.xml.sax.SAXParseException; public class XSDValidate { public void validate(String xmlFile, String xsd_url) { try { SchemaFactory factory = SchemaFactory.newInstance(XMLConstants.W3C_XML_SCHEMA_NS_URI); Schema schema = factory.newSchema(new URL(xsd_url)); Validator validator = schema.newValidator(); ValidationHandler handler = new ValidationHandler(); validator.setErrorHandler(handler); validator.validate(getSource(xmlFile)); if (handler.errorsFound == true) { System.err.println("Validation Error : "+ handler.exception.getMessage()); }else { System.out.println("DONE"); } } catch (SAXException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } } private Source getSource(String resource) { return new StreamSource(XSDValidate.class.getClassLoader().getResourceAsStream(resource)); } private class ValidationHandler implements ErrorHandler { private boolean errorsFound = false; private SAXParseException exception; public void error(SAXParseException exception) throws SAXException { this.errorsFound = true; this.exception = exception; } public void fatalError(SAXParseException exception) throws SAXException { this.errorsFound = true; this.exception = exception; } public void warning(SAXParseException exception) throws SAXException { } } /* * Test */ public static void main(String[] args) { new XSDValidate().validate("com/forat/xsd/reply.xml", "https://ics2wstest.ic3.com/commerce/1.x/transactionProcessor/CyberSourceTransaction_1.53.xsd"); // return error } } As appears, It is a standard code that try to validate the following XML file: <?xml version="1.0" encoding="UTF-8"?> <replyMessage xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <merchantReferenceCode>XXXXXXXXXXXXX</merchantReferenceCode> <requestID>XXXXXXXXXXXXX</requestID> <decision>XXXXXXXXXXXXX</decision> <reasonCode>XXXXXXXXXXXXX</reasonCode> <requestToken>XXXXXXXXXXXXX </requestToken> <purchaseTotals> <currency>XXXXXXXXXXXXX</currency> </purchaseTotals> <ccAuthReply> <reasonCode>XXXXXXXXXXXXX</reasonCode> <amount>XXXXXXXXXXXXX</amount> <authorizationCode>XXXXXXXXXXXXX</authorizationCode> <avsCode>XXXXXXXXXXXXX</avsCode> <avsCodeRaw>XXXXXXXXXXXXX</avsCodeRaw> <authorizedDateTime>XXXXXXXXXXXXX</authorizedDateTime> <processorResponse>0XXXXXXXXXXXXX</processorResponse> <authRecord>XXXXXXXXXXXXX </authRecord> </ccAuthReply> </replyMessage> Against the following XSD : https://ics2wstest.ic3.com/commerce/1.x/transactionProcessor/CyberSourceTransaction_1.53.xsd The error is : Validation Error : cvc-elt.1: Cannot find the declaration of element 'replyMessage'. Could you please help me!

    Read the article

  • Need some help with my XML Schema.

    - by Airjoe
    I'm using Qt C++ and am reading in an XML file for data. I want to ensure the XML file contains valid elements, so I began to write an XML Schema to validate against (Qt doesn't support validating against a DTD). The problem is, I'm not sure if my Schema itself is valid, and I can't seem to find an actual XSD validator. I tried using the official w3c validator at http://www.w3.org/2001/03/webdata/xsv, but it's giving me blank output. Would anyone know of a decent XSD validator, or perhaps be willing to look over the following manually? <?xml version="1.0"?> <xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema" elementFormDefault="qualified"> <xs:element name="ballot"> <xs:complexType> <xs:sequence> <xs:element name="races"> <xs:complexType> <xs:element name="race" minOccurs="1" maxOccurs="unbounded"> <xs:complexType> <xs:sequence> <xs:element name="rtitle" minOccurs="1" maxOccurs="1" type="xs:string"/> <xs:element name="candidates" minOccurs="1" maxOccurs="1"> <xs:complexType> <xs:element name="candidate" minOccurs="1" maxOccurs="10"> <xs:complexType> <xs:element name="candname" minOccurs="1" maxOccurs="1" type="xs:string"/> <xs:element name="candparty" minOccurs="1" maxOccurs="1" type="xs:string"/> </xs:complexType> </xs:element> </xs:complexType> </xs:element> </xs:sequence> </xs:complexType> </xs:element> </xs:complexType> </xs:element> <xs:element name="propositions"> <xs:complexType> <xs:element name="proposition" minOccurs="1" maxOccurs="unbounded"> <xs:complexType> <xs:element name="ptitle" minOccurs="1" maxOccurs="1" type="xs:string"/> <xs:element name="pdesc" minOccurs="1" maxOccurs="1" type="xs:string"/> </xs:complexType> </xs:element> </xs:complexType> </xs:element> </xs:sequence> </xs:complexType> </xs:element> </xs:schema> Please let me know what you think, I appreciate it!

    Read the article

  • How to document an XML Schema?

    - by lucas clemente
    I have developed a XML schema for an application I wrote. Now I want to document the valid structure for the end user, however I can't come up with any natural way to do this. I've seen things like xs3p, which essentially converts a xsd schema to a HTML representation, however that doesn't look like good documentation to me; the user shouldn't need to know anything about schemas to understand what he is allowed to do. Any ideas how to document this? Any programs / editors / graphical solutions or simply concepts I can build on?

    Read the article

  • Describe repeating XML nodes in W3C XML Schema?

    - by NotMyName
    I have an XML document like: <Root> <Bravo /> <Alpha /> <Charlie /> <Charlie /> <Delta /> <Foxtrot /> <Charlie /> </Root> The order of the nodes does not matter. Each node may appear zero or one times, except for Charlie. Charlie may appear zero, one, or arbitrarily many times. The straightforward way to express this in XSD is: <xsd:schema xmlns:xsd="http://www.w3.org/2001/XMLSchema"> <xsd:element name="Root"> <xsd:complexType> <xsd:all> <xsd:element name="Alpha" minOccurs="0" maxOccurs="1" /> <xsd:element name="Bravo" minOccurs="0" maxOccurs="1" /> <xsd:element name="Charlie" minOccurs="0" maxOccurs="unbounded" /> <xsd:element name="Delta" minOccurs="0" maxOccurs="1" /> <xsd:element name="Echo" minOccurs="0" maxOccurs="1" /> <xsd:element name="Foxtrot" minOccurs="0" maxOccurs="1" /> </xsd:all> </xsd:complexType> </xsd:element> </xsd:schema> But this does not work, because xsd:all does not allow for maxOccurs greater than 1. Since I cannot use xsd:all, what should I use?

    Read the article

  • Schema design: many to many plus additional one to many

    - by chrisj
    Hi, I have this scenario and I'm not sure exactly how it should be modeled in the database. The objects I'm trying to model are: teams, players, the team-player membership, and a list of fees due for each player on a given team. So, the fees depend on both the team and the player. So, my current approach is the following: **teams** id name **players** id name **team_players** id player_id team_id **team_player_fees** id team_players_id amount send_reminder_on Schema layout ERD In this schema, team_players is the junction table for teams and players. And the table team_player_fees has records that belong to records to the junction table. For example, playerA is on teamA and has the fees of $10 and $20 due in Aug and Feb. PlayerA is also on teamB and has the fees of $25 and $25 due in May and June. Each player/team combination can have a different set of fees. Questions: Are there better ways to handle such a scenario? Is there a term for this type of relationship? (so I can google it) Or know of any references with similar structures?

    Read the article

  • Database Schema Usage

    - by CrazyHorse
    I have a question regarding the appropriate use of SQL Server database schemas and was hoping that some database gurus might be able to offer some guidance around best practice. Just to give a bit of background, my team has recently shrunk to 2 people and we have just been merged with another 6 person team. My team had set up a SQL Server environment running off a desktop backing up to another desktop (and nightly to the network), whilst the new team has a formal SQL Server environment, running on a dedicated server, with backups and maintenance all handled by a dedicated team. So far it's good news for my team. Now to the query. My team designed all our tables to belong to a 3-letter schema name (e.g. User = USR, General = GEN, Account = ACC) which broadly speaking relate to specific applications, although there is a lot of overlap. My new team has come from an Access background and have implemented their tables within dbo with a 3-letter perfix followed by "_tbl" so the examples above would be dbo.USR_tblTableName, dbo.GEN_tblTableName and dbo.ACC_tblTableName. Further to this, neither my old team nor my new team has gone live with their SQL Servers yet (we're both coincidentally migrating away from Access environments) and the new team have said they're willing to consider adopting our approach if we can explain how this would be beneficial. We are not anticipating handling table updates at schema level, as we will be using application-level logins. Also, with regards to the unwieldiness of the 7-character prefix, I'm not overly concerned myself as we're using LINQ almost exclusively so the tables can simply be renamed in the DMBL (although I know that presents some challenges when we update the DBML). So therefore, given that both teams need to be aligned with one another, can anyone offer any convincing arguments either way?

    Read the article

  • Free Dynamic DNS Nameservers

    - by Maxim Zaslavsky
    I recently set up a home server that I want to use as my primary hosting platform. So far, I've mapped some domains to it by setting up A records for them that point to my home IP. As my home IP can change randomly and without notice, however, I'm afraid of such downtime. Thus, I'm looking for a dynamic DNS solution. So far, I've set up DynDNS, but I haven't found a way to use dynamic DNS with an existing domain. Are there any free dynamic DNS nameserver services available?

    Read the article

1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >