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  • GLSL Shader Texture Performance

    - by Austin
    I currently have a project that renders OpenGL video using a vertex and fragment shader. The shaders work fine as-is, but in trying to add in texturing, I am running into performance issues and can't figure out why. Before adding texturing, my program ran just fine and loaded my CPU between 0%-4%. When adding texturing (specifically textures AND color -- noted by comment below), my CPU is 100% loaded. The only code I have added is the relevant texturing code to the shader, and the "glBindTexture()" calls to the rendering code. Here are my shaders and relevant rending code. Vertex Shader: #version 150 uniform mat4 mvMatrix; uniform mat4 mvpMatrix; uniform mat3 normalMatrix; uniform vec4 lightPosition; uniform float diffuseValue; layout(location = 0) in vec3 vertex; layout(location = 1) in vec3 color; layout(location = 2) in vec3 normal; layout(location = 3) in vec2 texCoord; smooth out VertData { vec3 color; vec3 normal; vec3 toLight; float diffuseValue; vec2 texCoord; } VertOut; void main(void) { gl_Position = mvpMatrix * vec4(vertex, 1.0); VertOut.normal = normalize(normalMatrix * normal); VertOut.toLight = normalize(vec3(mvMatrix * lightPosition - gl_Position)); VertOut.color = color; VertOut.diffuseValue = diffuseValue; VertOut.texCoord = texCoord; } Fragment Shader: #version 150 smooth in VertData { vec3 color; vec3 normal; vec3 toLight; float diffuseValue; vec2 texCoord; } VertIn; uniform sampler2D tex; layout(location = 0) out vec3 colorOut; void main(void) { float diffuseComp = max( dot(normalize(VertIn.normal), normalize(VertIn.toLight)) ), 0.0); vec4 color = texture2D(tex, VertIn.texCoord); colorOut = color.rgb * diffuseComp * VertIn.diffuseValue + color.rgb * (1 - VertIn.diffuseValue); // FOLLOWING LINE CAUSES PERFORMANCE ISSUES colorOut *= VertIn.color; } Relevant Rendering Code: // 3 textures have been successfully pre-loaded, and can be used // texture[0] is a 1x1 white texture to effectively turn off texturing glUseProgram(program); // Draw squares glBindTexture(GL_TEXTURE_2D, texture[1]); // Set attributes, uniforms, etc glDrawArrays(GL_QUADS, 0, 6*4); // Draw triangles glBindTexture(GL_TEXTURE_2D, texture[0]); // Set attributes, uniforms, etc glDrawArrays(GL_TRIANGLES, 0, 3*4); // Draw reference planes glBindTexture(GL_TEXTURE_2D, texture[0]); // Set attributes, uniforms, etc glDrawArrays(GL_LINES, 0, 4*81*2); // Draw terrain glBindTexture(GL_TEXTURE_2D, texture[2]); // Set attributes, uniforms, etc glDrawArrays(GL_TRIANGLES, 0, 501*501*6); // Release glBindTexture(GL_TEXTURE_2D, 0); glUseProgram(0); Any help is greatly appreciated!

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  • What is a good design pattern / lib for iOS 5 to synchronize with a web service?

    - by Junto
    We are developing an iOS application that needs to synchronize with a remote server using web services. The existing web services have an "operations" style rather than REST (implemented in WCF but exposing JSON HTTP endpoints). We are unsure of how to structure the web services to best fit with iOS and would love some advice. We are also interested in how to manage the synchronization process within iOS. Without going into detailed specifics, the application allows the user to estimate repair costs at a remote site. These costs are broken down by room and item. If the user has an internet connection this data can be sent back to the server. Multiple photographs can be taken of each item, but they will be held in a separate queue, which sends when the connection is optimal (ideally wifi). Our backend application controls the unique ids for each room and item. Thus, each time we send these costs to the server, the server echoes the central database ids back, thus, that they can be synchronized in the mobile app. I have simplified this a little, since the operations contract is actually much larger, but I just want to illustrate the basic requirements without complicating matters. Firstly, the web service architecture: We currently have two operations: GetCosts and UpdateCosts. My assumption is that if we used a strict REST architecture we would need to break our single web service operations into multiple smaller services. This would make the services much more chatty and we would also have to guarantee a delivery order from the app. For example, we need to make sure that containing rooms are added before the item. Although this seems much more RESTful, our perception is that these extra calls are expensive connections (security checks, database calls, etc). Does the type of web api (operation over service focus) determine chunky vs chatty? Since this is mobile (3G), are we better handling lots of smaller messages, or a few large ones? Secondly, the iOS side. What is the current advice on how to manage data synchronization within the iOS (5) app itself. We need multiple queues and we need to guarantee delivery order in each queue (and technically, ordering between queues). The server needs to control unique ids and other properties and echo them back to the application. The application then needs to update an internal database and when re-updating, make sure the correct ids are available in the update message (essentially multiple inserts and updates in one call). Our backend has a ton of business logic operating on these cost estimates. We don't want any of this in the app itself. Currently the iOS app sends the cost data, and then the server echoes that data back with populated ids (and other data). The existing cost data is deleted and the echoed response data is added to the client database on the device. This is causing us problems, because any photos might not have been sent, but the original entity tree has been removed and replaced. Obviously updating the costs tree rather than replacing it would remove this problem, but I'm not sure if there are any nice xcode libraries out there to do such things. I welcome any advice you might have.

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  • Improving RDP performance

    - by blade
    Hi, How can I improve RDP performance? I'm on an 8mb line, and I have disabled all the fancy features like visual styles. One page said if I set a low speed, that too will increase performance. Is there any proof in this? Also, there was an ad here about an application/technology which can increase RDP performance by x20. Has anyone used this? Thanks

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  • Poor WAMP performance when using SMB/UNC Paths

    - by Brad
    I've configured a WAMP (Windows Apache MySQL and PHP) stack when when configured to use local storage takes 3-4 seconds to load. When I use an SMB/UNC share it takes 12-15 seconds to load. Here are the two lines in my httpd.conf: #DocumentRoot "//10.99.108.11/test_htdocs" #<Directory "//10.99.108.11/test_htdocs"> #DocumentRoot "C:/www" #<Directory "C:/www"> Is there performance tuning I can do on windows server 2008 R2 to improve performance or is there another way to improve performance using smb

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  • About can't export the performance problems.

    - by kyrathy
    At first,let me describe my environment My VirtualCenter is install on window 2008 ,and theDataBase that VC used is SQL 2008 I really want to ask is ..... When I use vsphere clinet to connect VC.....I got a problem. the performance chart only can show "realtime "...... whatever I only want to view the chart , or I want to export the performance log . when i manually want to export performance, and I select the time to 1 hour ,1 day ,1 month, or from a to b. it showed "No performance data to report for selected objects" only select realtime can export data normally. Before I install Vsphere 4 , I install the SQL 2008 , used the schema in the install CD(I follow the step to create SQL DB for vSphere) Could anybody help me how to solve this problem? And if need any information ,just tell me to provide. Thanks a lot.

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  • SQL Server performance on VSphere 4.0

    - by Charles
    We are having a performance issue that we cannot explain with our VMWare environment and I am hoping someone here may be able to help. We have a web application that uses a databases backend. We have an SQL 2005 Cluster setup on Windows 2003 R2 between a physical node and a virtual node. Both physical servers are identical 2950's with 2x Xeaon x5460 Quad Core CPUs and 64GB of memory, 16GB allocated to the OS. We are utilizing an iSCSI San for all cluster disks. The problem is this, when utilizing the application under a repeated stress testing that adds CPUs to the cluster nodes, the Physical node scales from 1 pCPU to 8 pCPUs, meaning we see continued performance increases. When testing the node running Vsphere, we have the expected 12% performance hit for being virtual but we still scale from 1 vCPU to 4 vCPUs like the physical but beyond this performance drops off, by the time we get to 8 vCPUs we are seeing performance numbers worse than at 4 vCPUs. Again, both nodes are configured identically in terms of hardware, Guest OS, SQL Configurations etc and there is no traffic other than the testing on the system. There are no other VMs on the virtual server so there should be no competition for resources. We have contacted VMWare for help but they have not really been any suggesting things like setting SQL Processor Affinity which, while being helpful would have the same net effect on each box and should not change our results in the least. We have looked at all of VMWare's SQL Tuning guides with regards to VSphere with no benefit, please help!

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  • Bad performance with Linux software RAID5 and LUKS encryption

    - by Philipp Wendler
    I have set up a Linux software RAID5 on three hard drives and want to encrypt it with cryptsetup/LUKS. My tests showed that the encryption leads to a massive performance decrease that I cannot explain. The RAID5 is able to write 187 MB/s [1] without encryption. With encryption on top of it, write speed is down to about 40 MB/s. The RAID has a chunk size of 512K and a write intent bitmap. I used -c aes-xts-plain -s 512 --align-payload=2048 as the parameters for cryptsetup luksFormat, so the payload should be aligned to 2048 blocks of 512 bytes (i.e., 1MB). cryptsetup luksDump shows a payload offset of 4096. So I think the alignment is correct and fits to the RAID chunk size. The CPU is not the bottleneck, as it has hardware support for AES (aesni_intel). If I write on another drive (an SSD with LVM) that is also encrypted, I do have a write speed of 150 MB/s. top shows that the CPU usage is indeed very low, only the RAID5 xor takes 14%. I also tried putting a filesystem (ext4) directly on the unencrypted RAID so see if the layering is problem. The filesystem decreases the performance a little bit as expected, but by far not that much (write speed varying, but 100 MB/s). Summary: Disks + RAID5: good Disks + RAID5 + ext4: good Disks + RAID5 + encryption: bad SSD + encryption + LVM + ext4: good The read performance is not affected by the encryption, it is 207 MB/s without and 205 MB/s with encryption (also showing that CPU power is not the problem). What can I do to improve the write performance of the encrypted RAID? [1] All speed measurements were done with several runs of dd if=/dev/zero of=DEV bs=100M count=100 (i.e., writing 10G in blocks of 100M). Edit: If this helps: I'm using Ubuntu 11.04 64bit with Linux 2.6.38. Edit2: The performance stays approximately the same if I pass a block size of 4KB, 1MB or 10MB to dd.

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  • SQL SERVER – Introduction to Wait Stats and Wait Types – Wait Type – Day 1 of 28

    - by pinaldave
    I have been working a lot on Wait Stats and Wait Types recently. Last Year, I requested blog readers to send me their respective server’s wait stats. I appreciate their kind response as I have received  Wait stats from my readers. I took each of the results and carefully analyzed them. I provided necessary feedback to the person who sent me his wait stats and wait types. Based on the feedbacks I got, many of the readers have tuned their server. After a while I got further feedbacks on my recommendations and again, I collected wait stats. I recorded the wait stats and my recommendations and did further research. At some point at time, there were more than 10 different round trips of the recommendations and suggestions. Finally, after six month of working my hands on performance tuning, I have collected some real world wisdom because of this. Now I plan to share my findings with all of you over here. Before anything else, please note that all of these are based on my personal observations and opinions. They may or may not match the theory available at other places. Some of the suggestions may not match your situation. Remember, every server is different and consequently, there is more than one solution to a particular problem. However, this series is written with kept wait stats in mind. While I was working on various performance tuning consultations, I did many more things than just tuning wait stats. Today we will discuss how to capture the wait stats. I use the script diagnostic script created by my friend and SQL Server Expert Glenn Berry to collect wait stats. Here is the script to collect the wait stats: -- Isolate top waits for server instance since last restart or statistics clear WITH Waits AS (SELECT wait_type, wait_time_ms / 1000. AS wait_time_s, 100. * wait_time_ms / SUM(wait_time_ms) OVER() AS pct, ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS rn FROM sys.dm_os_wait_stats WHERE wait_type NOT IN ('CLR_SEMAPHORE','LAZYWRITER_SLEEP','RESOURCE_QUEUE','SLEEP_TASK' ,'SLEEP_SYSTEMTASK','SQLTRACE_BUFFER_FLUSH','WAITFOR', 'LOGMGR_QUEUE','CHECKPOINT_QUEUE' ,'REQUEST_FOR_DEADLOCK_SEARCH','XE_TIMER_EVENT','BROKER_TO_FLUSH','BROKER_TASK_STOP','CLR_MANUAL_EVENT' ,'CLR_AUTO_EVENT','DISPATCHER_QUEUE_SEMAPHORE', 'FT_IFTS_SCHEDULER_IDLE_WAIT' ,'XE_DISPATCHER_WAIT', 'XE_DISPATCHER_JOIN', 'SQLTRACE_INCREMENTAL_FLUSH_SLEEP')) SELECT W1.wait_type, CAST(W1.wait_time_s AS DECIMAL(12, 2)) AS wait_time_s, CAST(W1.pct AS DECIMAL(12, 2)) AS pct, CAST(SUM(W2.pct) AS DECIMAL(12, 2)) AS running_pct FROM Waits AS W1 INNER JOIN Waits AS W2 ON W2.rn <= W1.rn GROUP BY W1.rn, W1.wait_type, W1.wait_time_s, W1.pct HAVING SUM(W2.pct) - W1.pct < 99 OPTION (RECOMPILE); -- percentage threshold GO This script uses Dynamic Management View sys.dm_os_wait_stats to collect the wait stats. It omits the system-related wait stats which are not useful to diagnose performance-related bottleneck. Additionally, not OPTION (RECOMPILE) at the end of the DMV will ensure that every time the query runs, it retrieves new data and not the cached data. This dynamic management view collects all the information since the time when the SQL Server services have been restarted. You can also manually clear the wait stats using the following command: DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR); Once the wait stats are collected, we can start analysis them and try to see what is causing any particular wait stats to achieve higher percentages than the others. Many waits stats are related to one another. When the CPU pressure is high, all the CPU-related wait stats show up on top. But when that is fixed, all the wait stats related to the CPU start showing reasonable percentages. It is difficult to have a sure solution, but there are good indications and good suggestions on how to solve this. I will keep this blog post updated as I will post more details about wait stats and how I reduce them. The reference to Book On Line is over here. Of course, I have selected February to run this Wait Stats series. I am already cheating by having the smallest month to run this series. :) Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Implementing a generic repository for WCF data services

    - by cibrax
    The repository implementation I am going to discuss here is not exactly what someone would call repository in terms of DDD, but it is an abstraction layer that becomes handy at the moment of unit testing the code around this repository. In other words, you can easily create a mock to replace the real repository implementation. The WCF Data Services update for .NET 3.5 introduced a nice feature to support two way data bindings, which is very helpful for developing WPF or Silverlight based application but also for implementing the repository I am going to talk about. As part of this feature, the WCF Data Services Client library introduced a new collection DataServiceCollection<T> that implements INotifyPropertyChanged to notify the data context (DataServiceContext) about any change in the association links. This means that it is not longer necessary to manually set or remove the links in the data context when an item is added or removed from a collection. Before having this new collection, you basically used the following code to add a new item to a collection. Order order = new Order {   Name = "Foo" }; OrderItem item = new OrderItem {   Name = "bar",   UnitPrice = 10,   Qty = 1 }; var context = new OrderContext(); context.AddToOrders(order); context.AddToOrderItems(item); context.SetLink(item, "Order", order); context.SaveChanges(); Now, thanks to this new collection, everything is much simpler and similar to what you have in other ORMs like Entity Framework or L2S. Order order = new Order {   Name = "Foo" }; OrderItem item = new OrderItem {   Name = "bar",   UnitPrice = 10,   Qty = 1 }; order.Items.Add(item); var context = new OrderContext(); context.AddToOrders(order); context.SaveChanges(); In order to use this new feature, you first need to enable V2 in the data service, and then use some specific arguments in the datasvcutil tool (You can find more information about this new feature and how to use it in this post). DataSvcUtil /uri:"http://localhost:3655/MyDataService.svc/" /out:Reference.cs /dataservicecollection /version:2.0 Once you use those two arguments, the generated proxy classes will use DataServiceCollection<T> rather than a simple ObjectCollection<T>, which was the default collection in V1. There are some aspects that you need to know to use this feature correctly. 1. All the entities retrieved directly from the data context with a query track the changes and report those to the data context automatically. 2. A entity created with “new” does not track any change in the properties or associations. In order to enable change tracking in this entity, you need to do the following trick. public Order CreateOrder() {   var collection = new DataServiceCollection<Order>(this.context);   var order = new Order();   collection.Add(order);   return order; } You basically need to create a collection, and add the entity to that collection with the “Add” method to enable change tracking on that entity. 3. If you need to attach an existing entity (For example, if you created the entity with the “new” operator rather than retrieving it from the data context with a query) to a data context for tracking changes, you can use the “Load” method in the DataServiceCollection. var order = new Order {   Id = 1 }; var collection = new DataServiceCollection<Order>(this.context); collection.Load(order); In this case, the order with Id = 1 must exist on the data source exposed by the Data service. Otherwise, you will get an error because the entity did not exist. These cool extensions methods discussed by Stuart Leeks in this post to replace all the magic strings in the “Expand” operation with Expression Trees represent another feature I am going to use to implement this generic repository. Thanks to these extension methods, you could replace the following query with magic strings by a piece of code that only uses expressions. Magic strings, var customers = dataContext.Customers .Expand("Orders")         .Expand("Orders/Items") Expressions, var customers = dataContext.Customers .Expand(c => c.Orders.SubExpand(o => o.Items)) That query basically returns all the customers with their orders and order items. Ok, now that we have the automatic change tracking support and the expression support for explicitly loading entity associations, we are ready to create the repository. The interface for this repository looks like this,public interface IRepository { T Create<T>() where T : new(); void Update<T>(T entity); void Delete<T>(T entity); IQueryable<T> RetrieveAll<T>(params Expression<Func<T, object>>[] eagerProperties); IQueryable<T> Retrieve<T>(Expression<Func<T, bool>> predicate, params Expression<Func<T, object>>[] eagerProperties); void Attach<T>(T entity); void SaveChanges(); } The Retrieve and RetrieveAll methods are used to execute queries against the data service context. While both methods receive an array of expressions to load associations explicitly, only the Retrieve method receives a predicate representing the “where” clause. The following code represents the final implementation of this repository.public class DataServiceRepository: IRepository { ResourceRepositoryContext context; public DataServiceRepository() : this (new DataServiceContext()) { } public DataServiceRepository(DataServiceContext context) { this.context = context; } private static string ResolveEntitySet(Type type) { var entitySetAttribute = (EntitySetAttribute)type.GetCustomAttributes(typeof(EntitySetAttribute), true).FirstOrDefault(); if (entitySetAttribute != null) return entitySetAttribute.EntitySet; return null; } public T Create<T>() where T : new() { var collection = new DataServiceCollection<T>(this.context); var entity = new T(); collection.Add(entity); return entity; } public void Update<T>(T entity) { this.context.UpdateObject(entity); } public void Delete<T>(T entity) { this.context.DeleteObject(entity); } public void Attach<T>(T entity) { var collection = new DataServiceCollection<T>(this.context); collection.Load(entity); } public IQueryable<T> Retrieve<T>(Expression<Func<T, bool>> predicate, params Expression<Func<T, object>>[] eagerProperties) { var entitySet = ResolveEntitySet(typeof(T)); var query = context.CreateQuery<T>(entitySet); foreach (var e in eagerProperties) { query = query.Expand(e); } return query.Where(predicate); } public IQueryable<T> RetrieveAll<T>(params Expression<Func<T, object>>[] eagerProperties) { var entitySet = ResolveEntitySet(typeof(T)); var query = context.CreateQuery<T>(entitySet); foreach (var e in eagerProperties) { query = query.Expand(e); } return query; } public void SaveChanges() { this.context.SaveChanges(SaveChangesOptions.Batch); } } For instance, you can use the following code to retrieve customers with First name equal to “John”, and all their orders in a single call. repository.Retrieve<Customer>(    c => c.FirstName == “John”, //Where    c => c.Orders.SubExpand(o => o.Items)); In case, you want to have some pre-defined queries that you are going to use across several places, you can put them in an specific class. public static class CustomerQueries {   public static Expression<Func<Customer, bool>> LastNameEqualsTo(string lastName)   {     return c => c.LastName == lastName;   } } And then, use it with the repository. repository.Retrieve<Customer>(    CustomerQueries.LastNameEqualsTo("foo"),    c => c.Orders.SubExpand(o => o.Items));

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  • Blazing fast performance with RadGridView for Silverlight 4, RadDataPager and WCF RIA Services

    In my previous post I’ve used almost 2 million records to the check the grid performance in WPF and I’ve decided to do the same for Silverlight 4 using WCF RIA Services. The grid again is bound completely codelessly using DomainDataSource and RadDataPager: <Grid x:Name="LayoutRoot"> <Grid.RowDefinitions> <RowDefinition /> <RowDefinition Height="Auto" /> </Grid.RowDefinitions> <riaControls:DomainDataSource Name="orderDomainDataSource" QueryName="GetOrdersAndOrderDetails"> <riaControls:DomainDataSource.DomainContext> <my:NorthwindDomainContext /> </riaControls:DomainDataSource.DomainContext> </riaControls:DomainDataSource> <telerik:RadGridView Name="RadGridView1" IsReadOnly="True" AutoExpandGroups="True" ItemsSource="{Binding Data, ElementName=orderDomainDataSource}" /> <telerik:RadDataPager Grid.Row="1" PageSize="10" Source="{Binding Data, ElementName=orderDomainDataSource}" DisplayMode="All" /> </Grid> And the query again will return join between Northwind Orders and Order_Details: … public IQueryable<OrdersAndOrderDetails> GetOrdersAndOrderDetails() ...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Token based Authentication for WCF HTTP/REST Services: Authorization

    - by Your DisplayName here!
    In the previous post I showed how token based authentication can be implemented for WCF HTTP based services. Authentication is the process of finding out who the user is – this includes anonymous users. Then it is up to the service to decide under which circumstances the client has access to the service as a whole or individual operations. This is called authorization. By default – my framework does not allow anonymous users and will deny access right in the service authorization manager. You can however turn anonymous access on – that means technically, that instead of denying access, an anonymous principal is placed on Thread.CurrentPrincipal. You can flip that switch in the configuration class that you can pass into the service host/factory. var configuration = new WebTokenWebServiceHostConfiguration {     AllowAnonymousAccess = true }; But this is not enough, in addition you also need to decorate the individual operations to allow anonymous access as well, e.g.: [AllowAnonymousAccess] public string GetInfo() {     ... } Inside these operations you might have an authenticated or an anonymous principal on Thread.CurrentPrincipal, and it is up to your code to decide what to do. Side note: Being a security guy, I like this opt-in approach to anonymous access much better that all those opt-out approaches out there (like the Authorize attribute – or this.). Claims-based Authorization Since there is a ClaimsPrincipal available, you can use the standard WIF claims authorization manager infrastructure – either declaratively via ClaimsPrincipalPermission or programmatically (see also here). [ClaimsPrincipalPermission(SecurityAction.Demand,     Resource = "Claims",     Operation = "View")] public ViewClaims GetClientIdentity() {     return new ServiceLogic().GetClaims(); }   In addition you can also turn off per-request authorization (see here for background) via the config and just use the “domain specific” instrumentation. While the code is not 100% done – you can download the current solution here. HTH (Wanna learn more about federation, WIF, claims, tokens etc.? Click here.)

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  • SQLAuthority News – Guest Post – FAULT Contract in WCF with Learning Video

    - by pinaldave
    This is guest post by one of my very good friends and .NET MVP, Dhananjay Kumar. The very first impression one gets when they meet him is his politeness. He is an extremely nice person, but has superlative knowledge in .NET and is truly helpful to all of us. Objective: This article will give a basic introduction on: How to handle Exception at service side? How to use Fault contract at Service side? How to handle Service Exception at client side? A Few Points about Exception at Service Exception is technology-specific. Exception should not be shared beyond service boundary. Since Exception is technology-specific, it cannot be propagated to other clients. Exception is of many types. CLR Exception Windows32 Exception Runtime Exception at service C++ Exception Exception is very much native to the technology in which service is made. Exception must be converted from technology-specific information to natural information that can be communicated to the client. SOAP Fault FaultException<T> Service should throw FaultException<T>, instead of the usual CLR exception. FaultException<T> is a specialization of Fault Exception. Any client that programs against FaultException can handle the Exception thrown by FaultException<T>. The type parameter T conveys the error detail. T can be of any type like Exception, CLR Type or any type that can be serialized. T can be of type Data contract. T is a generic parameter that conveys the error details. You can read complete article http://dhananjaykumar.net/2010/05/23/fault-contract-in-wcf-with-learning-video/ Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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  • How to call Office365 web service in a Console application using WCF

    - by ybbest
    In my previous post, I showed you how to call the SharePoint web service using a console application. In this post, I’d like to show you how to call the same web service in the cloud, aka Office365.In office365, it uses claims authentication as opposed to windows authentication for normal in-house SharePoint Deployment. For Details of the explanation you can see Wictor’s post on this here. The key to make it work is to understand when you authenticate from Office365, you get your authentication token. You then need to pass this token to your HTTP request as cookie to make the web service call. Here is the code sample to make it work.I have modified Wictor’s by removing the client object references. static void Main(string[] args) { MsOnlineClaimsHelper claimsHelper = new MsOnlineClaimsHelper( "[email protected]", "YourPassword","https://ybbest.sharepoint.com/"); HttpRequestMessageProperty p = new HttpRequestMessageProperty(); var cookie = claimsHelper.CookieContainer; string cookieHeader = cookie.GetCookieHeader(new Uri("https://ybbest.sharepoint.com/")); p.Headers.Add("Cookie", cookieHeader); using (ListsSoapClient proxy = new ListsSoapClient()) { proxy.Endpoint.Address = new EndpointAddress("https://ybbest.sharepoint.com/_vti_bin/Lists.asmx"); using (new OperationContextScope(proxy.InnerChannel)) { OperationContext.Current.OutgoingMessageProperties[HttpRequestMessageProperty.Name] = p; XElement spLists = proxy.GetListCollection(); foreach (var el in spLists.Descendants()) { //System.Console.WriteLine(el.Name); foreach (var attrib in el.Attributes()) { if (attrib.Name.LocalName.ToLower() == "title") { System.Console.WriteLine("> " + attrib.Name + " = " + attrib.Value); } } } } System.Console.ReadKey(); } } You can download the complete code from here. Reference: Managing shared cookies in WCF How to do active authentication to Office 365 and SharePoint Online

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  • How to call Office365 web service in a Console application using WCF

    - by ybbest
    In my previous post, I showed you how to call the SharePoint web service using a console application. In this post, I’d like to show you how to call the same web service in the cloud, aka Office365.In office365, it uses claims authentication as opposed to windows authentication for normal in-house SharePoint Deployment. For Details of the explanation you can see Wictor’s post on this here. The key to make it work is to understand when you authenticate from Office365, you get your authentication token. You then need to pass this token to your HTTP request as cookie to make the web service call. Here is the code sample to make it work.I have modified Wictor’s by removing the client object references. static void Main(string[] args) { MsOnlineClaimsHelper claimsHelper = new MsOnlineClaimsHelper( "[email protected]", "YourPassword","https://ybbest.sharepoint.com/"); HttpRequestMessageProperty p = new HttpRequestMessageProperty(); var cookie = claimsHelper.CookieContainer; string cookieHeader = cookie.GetCookieHeader(new Uri("https://ybbest.sharepoint.com/")); p.Headers.Add("Cookie", cookieHeader); using (ListsSoapClient proxy = new ListsSoapClient()) { proxy.Endpoint.Address = new EndpointAddress("https://ybbest.sharepoint.com/_vti_bin/Lists.asmx"); using (new OperationContextScope(proxy.InnerChannel)) { OperationContext.Current.OutgoingMessageProperties[HttpRequestMessageProperty.Name] = p; XElement spLists = proxy.GetListCollection(); foreach (var el in spLists.Descendants()) { //System.Console.WriteLine(el.Name); foreach (var attrib in el.Attributes()) { if (attrib.Name.LocalName.ToLower() == "title") { System.Console.WriteLine("> " + attrib.Name + " = " + attrib.Value); } } } } System.Console.ReadKey(); } } You can download the complete code from here. Reference: Managing shared cookies in WCF How to do active authentication to Office 365 and SharePoint Online

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  • SQL Server – SafePeak “Logon Trigger” Feature for Managing Data Access

    - by pinaldave
    Lately I received an interesting question about the abilities of SafePeak for SQL Server acceleration software: Q: “I would like to use SafePeak to make my CRM application faster. It is an application we bought from some vendor, after a while it became slow and we can’t reprogram it. SafePeak automated caching sounds like an easy and good solution for us. But, in my application there are many servers and different other applications services that address its main database, and some even change data, and I feel that there is a chance that some servers that during the connection process we may miss some. Is there a way to ensure that SafePeak will be aware of all connections to the SQL Server, so its cache will remain intact?” Interesting question, as I remember that SafePeak (http://www.safepeak.com/Product/SafePeak-Overview) likes that all traffic to the database will go thru it. I decided to check out the features of SafePeak latest version (2.1) and seek for an answer there. A: Indeed I found SafePeak has a feature they call “Logon Trigger” and is designed for that purpose. It is located in the user interface, under: Settings -> SQL instances management  ->  [your instance]  ->  [Logon Trigger] tab. From here you activate / deactivate it and control a white-list of enabled server IPs and Login names that SafePeak will ignore them. Click to Enlarge After activation of the “logon trigger” Safepeak server is notified by the SQL Server itself on each new opened connection. Safepeak monitors those connections and decides if there is something to do with them or not. On a typical installation SafePeak likes all application and users connections to go via SafePeak – this way it knows about data and schema updates immediately (real time). With activation of the safepeak “logon trigger”  a special CLR trigger is deployed on the SQL server and notifies Safepeak on any connection that has not arrived via SafePeak. In such cases Safepeak can act to clear and lock the cache or to ignore it. This feature enables to make sure SafePeak will be aware of all connections so SafePeak cache will maintain exactly correct all times. So even if a user, like a DBA will connect to the SQL Server not via SafePeak, SafePeak will know about it and take actions. The notification does not impact the work of that connection, the user or application still continue to do whatever they planned to do. Note: I found that activation of logon trigger in SafePeak requires that SafePeak SQL login will have the next permissions: 1) CONTROL SERVER; 2) VIEW SERVER STATE; 3) And the SQL Server instance is CLR enabled; Seeing SafePeak in action, I can say SafePeak brings fantastic resource for those who seek to get performance for SQL Server critical apps. SafePeak promises to accelerate SQL Server applications in just several hours of installation, automatic learning and some optimization configuration (no code changes!!!). If better application and database performance means better business to you – I suggest you to download and try SafePeak. The solution of SafePeak is indeed unique, and the questions I receive are very interesting. Have any more questions on SafePeak? Please leave your question as a comment and I will try to get an answer for you. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Master-Details with RadGridView for Silverlight 4, WCF RIA Services RC2 and Entity Framework 4.0

    I have prepared a sample project with the Silverlight 4 version of RadGridView released yesterday. The sample project was created with Visual Studio 2010, WCF RIA Services RC 2 for Visual Studio 2010, and ADO.NET Entity Framework (.NET 4). I have decided to use the SalesOrderHeader and SalesOrderDetails tables from the Adventure Works Database, because they provide the perfect one-to-many relationship: I will not go over the steps for creating the ADO.NET Entity Data Model and the Domain Service Class. In case you are not familiar with them, you should start with Brad Abrams series of blog posts and read this blog after that. To enable the master-details relationship we need to modify two things. First of all we need to include the automatic retrieval of the child entities in the domain service class. We do this by using the Include method: 1: public IQueryable<SalesOrderHeader> GetSalesOrderHeaders()...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Measuring ASP.NET and SharePoint output cache

    - by DigiMortal
    During ASP.NET output caching week in my local blog I wrote about how to measure ASP.NET output cache. As my posting was based on real work and real-life results then I thought that this posting is maybe interesting to you too. So here you can read what I did, how I did and what was the result. Introduction Caching is not effective without measuring it. As MVP Henn Sarv said in one of his sessions then you will get what you measure. And right he is. Lately I measured caching on local Microsoft community portal to make sure that our caching strategy is good enough in environment where this system lives. In this posting I will show you how to start measuring the cache of your web applications. Although the application measured is built on SharePoint Server publishing infrastructure, all those counters have same meaning as similar counters under pure ASP.NET applications. Measured counters I used Performance Monitor and the following performance counters (their names are similar on ASP.NET and SharePoint WCMS): Total number of objects added – how much objects were added to output cache. Total object discards – how much objects were deleted from output cache. Cache hit count – how many times requests were served by cache. Cache hit ratio – percent of requests served from cache. The first three counters are cumulative while last one is coefficient. You can use also other counters to measure the full effect of caching (memory, processor, disk I/O, network load etc before and after caching). Measuring process The measuring I describe here started from freshly restarted web server. I measured application during 12 hours that covered also time ranges when users are most active. The time range does not include late evening hours and night because there is nothing to measure during these hours. During measuring we performed no maintenance or administrative tasks on server. All tasks performed were related to usual daily content management and content monitoring. Also we had no advertisement campaigns or other promotions running at same time. The results You can see the results on following graphic.   Total number of objects added   Total object discards   Cache hit count   Cache hit ratio You can see that adds and discards are growing in same tempo. It is good because cache expires and not so popular items are not kept in memory. If there are more popular content then the these lines may have bigger distance between them. Cache hit count grows faster and this shows that more and more content is served from cache. In current case it shows that cache is filled optimally and we can do even better if we tune caches more. The site contains also pages that are discarded when some subsite changes (page was added/modified/deleted) and one modification may affect about four or five pages. This may also decrease cache hit count because during day the site gets about 5-10 new pages. Cache hit ratio is currently extremely good. The suggested minimum is about 85% but after some tuning and measuring I achieved 98.7% as a result. This is due to the fact that new pages are most often requested and after new pages are added the older ones are requested only sometimes. So they get discarded from cache and only some of these will return sometimes back to cache. Although this may also indicate the need for additional SEO work the result is very well in technical means. Conclusion Measuring ASP.NET output cache is not complex thing to do and you can start by measuring performance of cache as a start. Later you can move on and measure caching effect to other counters such as disk I/O, network, processors etc. What you have to achieve is optimal cache that is not full of items asked only couple of times per day (you can avoid this by not using too long cache durations). After some tuning you should be able to boost cache hit ratio up to at least 85%.

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  • Essbase BSO Data Fragmentation

    - by Ann Donahue
    Essbase BSO Data Fragmentation Data fragmentation naturally occurs in Essbase Block Storage (BSO) databases where there are a lot of end user data updates, incremental data loads, many lock and send, and/or many calculations executed.  If an Essbase database starts to experience performance slow-downs, this is an indication that there may be too much fragmentation.  See Chapter 54 Improving Essbase Performance in the Essbase DBA Guide for more details on measuring and eliminating fragmentation: http://docs.oracle.com/cd/E17236_01/epm.1112/esb_dbag/daprcset.html Fragmentation is likely to occur in the following situations: Read/write databases that users are constantly updating data Databases that execute calculations around the clock Databases that frequently update and recalculate dense members Data loads that are poorly designed Databases that contain a significant number of Dynamic Calc and Store members Databases that use an isolation level of uncommitted access with commit block set to zero There are two types of data block fragmentation Free space tracking, which is measured using the Average Fragmentation Quotient statistic. Block order on disk, which is measured using the Average Cluster Ratio statistic. Average Fragmentation Quotient The Average Fragmentation Quotient ratio measures free space in a given database.  As you update and calculate data, empty spaces occur when a block can no longer fit in its original space and will either append at the end of the file or fit in another empty space that is large enough.  These empty spaces take up space in the .PAG files.  The higher the number the more empty spaces you have, therefore, the bigger the .PAG file and the longer it takes to traverse through the .PAG file to get to a particular record.  An Average Fragmentation Quotient value of 3.174765 means the database is 3% fragmented with free space. Average Cluster Ratio Average Cluster Ratio describes the order the blocks actually exist in the database. An Average Cluster Ratio number of 1 means all the blocks are ordered in the correct sequence in the order of the Outline.  As you load data and calculate data blocks, the sequence can start to be out of order.  This is because when you write to a block it may not be able to place back in the exact same spot in the database that it existed before.  The lower this number the more out of order it becomes and the more it affects performance.  An Average Cluster Ratio value of 1 means no fragmentation.  Any value lower than 1 i.e. 0.01032828 means the data blocks are getting further out of order from the outline order. Eliminating Data Block Fragmentation Both types of data block fragmentation can be removed by doing a dense restructure or export/clear/import of the data.  There are two types of dense restructure: 1. Implicit Restructures Implicit dense restructure happens when outline changes are done using EAS Outline Editor or Dimension Build. Essbase restructures create new .PAG files restructuring the data blocks in the .PAG files. When Essbase restructures the data blocks, it regenerates the index automatically so that index entries point to the new data blocks. Empty blocks are NOT removed with implicit restructures. 2. Explicit Restructures Explicit dense restructure happens when a manual initiation of the database restructure is executed. An explicit dense restructure is a full restructure which comprises of a dense restructure as outlined above plus the removal of empty blocks Empty Blocks vs. Fragmentation The existence of empty blocks is not considered fragmentation.  Empty blocks can be created through calc scripts or formulas.  An empty block will add to an existing database block count and will be included in the block counts of the database properties.  There are no statistics for empty blocks.  The only way to determine if empty blocks exist in an Essbase database is to record your current block count, export the entire database, clear the database then import the exported data.  If the block count decreased, the difference is the number of empty blocks that had existed in the database.

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  • WCF REST Error Handler

    - by Elton Stoneman
    I’ve put up on GitHub a sample WCF error handler for REST services, which returns proper HTTP status codes in response to service errors.   The code is very simple – a ServiceBehavior implementation which can be specified in config to tag the RestErrorHandler to a service. Any uncaught exceptions will be routed to the error handler, which sets the HTTP status code and description in the response, based on the type of exception.   The sample defines a ClientException which can be thrown in code to indicate a problem with the client’s request, and the response will be a status 400 with a friendly error message:       throw new ClientException("Invalid userId. Must be provided as a positive integer");   - responds:   Request URL http://localhost/Sixeyed.WcfRestErrorHandler.Sample/ErrorProneService.svc/lastLogin?userId=xyz   Error Status Code: 400, Description: Invalid userId. Must be provided as a positive integer   Any other uncaught exceptions are hidden from the client. The full details are logged with a GUID to identify the error, and the response to the client is a status 500 with a generic message giving them the GUID to follow up on:       var iUserId = 0;     var dbz = 1 / iUserId;   - logs the divide-by-zero error and responds:   Request URL http://localhost/Sixeyed.WcfRestErrorHandler.Sample/ErrorProneService.svc/dbz     Error Status Code: 500, Description: Something has gone wrong. Please contact our support team with helpdesk ID: C9C5A968-4AEA-48C7-B90A-DEC986F80DA5   The sample demonstrates two techniques for building the response. For client exceptions, a friendly HTML response is sent in the body as well as the status code and description. Personally I prefer not to do that – it doesn’t make sense to get a 400 error and find text/html when you’re expecting application/json, but it’s easy to do if that’s the functionality you want. The other option is to send an empty response, which the sample does with server exceptions.   The obvious extension is to have multiple exceptions representing all the status codes you want to provide, then your code is as simple as throwing the relevant exception – UnauthorizedException, ForbiddenExeption, NotImplementedException etc – anywhere in the stack, and it will be handled nicely.

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  • Why is mesh baking causing huge performance spikes?

    - by jellyfication
    A couple of seconds into the gameplay on my Android device, I see huge performance spikes caused by "Mesh.Bake Scaled Mesh PhysX CollisionData" In my game, a whole level is a parent object containing multiple ridigbodies with mesh colliders. Every FixedUpdate(), my parent object rotates around the player. Rotating the world causes mesh scaling. Here is the code that handles world rotation. private void Update() { input.update(); Vector3 currentInput = input.GetDirection(); worldParent.rotation = initialRotation; worldParent.DetachChildren(); worldParent.position = transform.position; world.parent = worldParent; worldParent.Rotate(Vector3.right, currentInput.x * 50f); worldParent.Rotate(Vector3.forward, currentInput.z * 50f); } How can I get rid of mesh scaling ? Mesh.Bake physx seems to take effect after some time, is it possible to disable this function ? The profiler looks like this: Bottom-left panel shows data before spikes, the right after

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  • Oracle President Mark Hurd Highlights How Data-driven HR Decisions Help Maximize Business Performance

    - by Scott Ewart
    HR Intelligence Can Help Companies Win the Race for Talent Today during a keynote at Taleo World 2012, Oracle President Mark Hurd outlined the ways that executives can use HR intelligence to help them make better business decisions, shape the future of their organizations and improve the bottom line. He highlighted that talent management is one of the top three focus areas for CEOs, and explained how HR intelligence can help drive decisions to meet business objectives. Hurd urged HR leaders to use data to make fact-based decisions about hiring, talent management and succession to drive strategic growth. To win the race for talent, Hurd explained that organizations need powerful technology that provides fact-based valuable insight that is needed to proactively manage talent, drive strategic initiatives that promote innovation, and enhance business performance. To view the full story and press release, click here.

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  • Performance considerations for common SQL queries

    - by Jim Giercyk
    Originally posted on: http://geekswithblogs.net/NibblesAndBits/archive/2013/10/16/performance-considerations-for-common-sql-queries.aspxSQL offers many different methods to produce the same results.  There is a never-ending debate between SQL developers as to the “best way” or the “most efficient way” to render a result set.  Sometimes these disputes even come to blows….well, I am a lover, not a fighter, so I decided to collect some data that will prove which way is the best and most efficient.  For the queries below, I downloaded the test database from SQLSkills:  http://www.sqlskills.com/sql-server-resources/sql-server-demos/.  There isn’t a lot of data, but enough to prove my point: dbo.member has 10,000 records, and dbo.payment has 15,554.  Our result set contains 6,706 records. The following queries produce an identical result set; the result set contains aggregate payment information for each member who has made more than 1 payment from the dbo.payment table and the first and last name of the member from the dbo.member table.   /*************/ /* Sub Query  */ /*************/ SELECT  a.[Member Number] ,         m.lastname ,         m.firstname ,         a.[Number Of Payments] ,         a.[Average Payment] ,         a.[Total Paid] FROM    ( SELECT    member_no 'Member Number' ,                     AVG(payment_amt) 'Average Payment' ,                     SUM(payment_amt) 'Total Paid' ,                     COUNT(Payment_No) 'Number Of Payments'           FROM      dbo.payment           GROUP BY  member_no           HAVING    COUNT(Payment_No) > 1         ) a         JOIN dbo.member m ON a.[Member Number] = m.member_no         /***************/ /* Cross Apply  */ /***************/ SELECT  ca.[Member Number] ,         m.lastname ,         m.firstname ,         ca.[Number Of Payments] ,         ca.[Average Payment] ,         ca.[Total Paid] FROM    dbo.member m         CROSS APPLY ( SELECT    member_no 'Member Number' ,                                 AVG(payment_amt) 'Average Payment' ,                                 SUM(payment_amt) 'Total Paid' ,                                 COUNT(Payment_No) 'Number Of Payments'                       FROM      dbo.payment                       WHERE     member_no = m.member_no                       GROUP BY  member_no                       HAVING    COUNT(Payment_No) > 1                     ) ca /********/                    /* CTEs  */ /********/ ; WITH    Payments           AS ( SELECT   member_no 'Member Number' ,                         AVG(payment_amt) 'Average Payment' ,                         SUM(payment_amt) 'Total Paid' ,                         COUNT(Payment_No) 'Number Of Payments'                FROM     dbo.payment                GROUP BY member_no                HAVING   COUNT(Payment_No) > 1              ),         MemberInfo           AS ( SELECT   p.[Member Number] ,                         m.lastname ,                         m.firstname ,                         p.[Number Of Payments] ,                         p.[Average Payment] ,                         p.[Total Paid]                FROM     dbo.member m                         JOIN Payments p ON m.member_no = p.[Member Number]              )     SELECT  *     FROM    MemberInfo /************************/ /* SELECT with Grouping   */ /************************/ SELECT  p.member_no 'Member Number' ,         m.lastname ,         m.firstname ,         COUNT(Payment_No) 'Number Of Payments' ,         AVG(payment_amt) 'Average Payment' ,         SUM(payment_amt) 'Total Paid' FROM    dbo.payment p         JOIN dbo.member m ON m.member_no = p.member_no GROUP BY p.member_no ,         m.lastname ,         m.firstname HAVING  COUNT(Payment_No) > 1   We can see what is going on in SQL’s brain by looking at the execution plan.  The Execution Plan will demonstrate which steps and in what order SQL executes those steps, and what percentage of batch time each query takes.  SO….if I execute all 4 of these queries in a single batch, I will get an idea of the relative time SQL takes to execute them, and how it renders the Execution Plan.  We can settle this once and for all.  Here is what SQL did with these queries:   Not only did the queries take the same amount of time to execute, SQL generated the same Execution Plan for each of them.  Everybody is right…..I guess we can all finally go to lunch together!  But wait a second, I may not be a fighter, but I AM an instigator.     Let’s see how a table variable stacks up.  Here is the code I executed: /********************/ /*  Table Variable  */ /********************/ DECLARE @AggregateTable TABLE     (       member_no INT ,       AveragePayment MONEY ,       TotalPaid MONEY ,       NumberOfPayments MONEY     ) INSERT  @AggregateTable         SELECT  member_no 'Member Number' ,                 AVG(payment_amt) 'Average Payment' ,                 SUM(payment_amt) 'Total Paid' ,                 COUNT(Payment_No) 'Number Of Payments'         FROM    dbo.payment         GROUP BY member_no         HAVING  COUNT(Payment_No) > 1   SELECT  at.member_no 'Member Number' ,         m.lastname ,         m.firstname ,         at.NumberOfPayments 'Number Of Payments' ,         at.AveragePayment 'Average Payment' ,         at.TotalPaid 'Total Paid' FROM    @AggregateTable at         JOIN dbo.member m ON m.member_no = at.member_no In the interest of keeping things in groupings of 4, I removed the last query from the previous batch and added the table variable query.  Here’s what I got:     Since we first insert into the table variable, then we read from it, the Execution Plan renders 2 steps.  BUT, the combination of the 2 steps is only 22% of the batch.  It is actually faster than the other methods even though it is treated as 2 separate queries in the Execution Plan.  The argument I often hear against Table Variables is that SQL only estimates 1 row for the table size in the Execution Plan.  While this is true, the estimate does not come in to play until you read from the table variable.  In this case, the table variable had 6,706 rows, but it still outperformed the other queries.  People argue that table variables should only be used for hash or lookup tables.  The fact is, you have control of what you put IN to the variable, so as long as you keep it within reason, these results suggest that a table variable is a viable alternative to sub-queries. If anyone does volume testing on this theory, I would be interested in the results.  My suspicion is that there is a breaking point where efficiency goes down the tubes immediately, and it would be interesting to see where the threshold is. Coding SQL is a matter of style.  If you’ve been around since they introduced DB2, you were probably taught a little differently than a recent computer science graduate.  If you have a company standard, I strongly recommend you follow it.    If you do not have a standard, generally speaking, there is no right or wrong answer when talking about the efficiency of these types of queries, and certainly no hard-and-fast rule.  Volume and infrastructure will dictate a lot when it comes to performance, so your results may vary in your environment.  Download the database and try it!

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  • Crystal Reports: 5 Tests for Top Performance

    Your masterpiece report is now complete. It doesn't just meet your customer’s expectations, it blows them out of the water. All they want is a beautifully-summarized report that can be displayed in a myriad of ways. Then disaster strikes! You try to run the report for a month against the live database and not the two days worth of test data you used for development, then your report’s runtime goes from twenty seconds to two hours. Every Crystal Reports developer has experienced this situation and it can be one of the most frustrating aspects of report design. Thankfully there are a variety of things that can be done to combat bad performance, any one of which can reap huge benefits...

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  • Is there any performance comparison between Perl web frameworks?

    - by DVK
    I have seen mentions (which sounded like unsubstantiated opinions, and dated ones at that) that Embperl is the fastest Perl web framework. I was wondering if there's a consensus on the relative speed of the major stable Perl web frameworks, or ideally, some sort of fact-based performance comparisons between implementations of the same sample webapps, or individual functionalities (e.g. session handling or form data processing), etc...?

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  • JBoss AS Performance Tuning de Francesco Marchioni, critique par Gomes Rodrigues Antonio

    Bonjour, Vous pouvez trouver sur http://java.developpez.com/livres/?p...L9781849514026 la critique de l'excellent livre "JBoss AS Performance Tuning" [IMG]http://images-eu.amazon.com/images/P/184951402X.01.LZZZZZZZ.jpg[/IMG] Comme il couvre plus que seulement le tuning de JBoss, je préfère mettre cette discussion ici A propos du livre, il couvre la création d'un test de charge avec Jmeter, le tuning de JBoss, le profiling de l'application et de la JVM, de l'OS ... Il se lit plutôt bien et on y trouve pas mal d'informations Si vous avez un avis sur ce livre, je serais intéressé de le connaitre...

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