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  • How to setup Dual Head with "radeon" driver for R770?

    - by user1709408
    I want to make dual head setup without xrandr but with Xinerama. I put "Screen 1" line into xorg.conf, but card still show identical output on DVI-2 and DVI-3 It is important to use xinerama for me (to glue three monitors), that's why i decide not to use ranrd (randr is incompatible with xinerama as i read somewhere) Here is my videocard (HD 4850 X2): lspci | grep R700 03:00.0 VGA compatible controller: Advanced Micro Devices [AMD] nee ATI R700 [Radeon HD 4850] 04:00.0 Display controller: Advanced Micro Devices [AMD] nee ATI R700 [Radeon HD 4850] Here is how monitors are connected: grep "DVI" /var/log/Xorg.0.log [ 1210.002] (II) RADEON(0): Output DVI-0 using monitor section Monitor0 [ 1210.048] (II) RADEON(0): Output DVI-1 has no monitor section [ 1210.079] (II) RADEON(0): EDID for output DVI-0 [ 1210.080] (II) RADEON(0): Printing probed modes for output DVI-0 [ 1210.128] (II) RADEON(0): EDID for output DVI-1 [ 1210.128] (II) RADEON(0): Output DVI-0 connected [ 1210.128] (II) RADEON(0): Output DVI-1 disconnected [ 1210.128] (II) RADEON(0): Output DVI-0 using initial mode 1920x1200 [ 1210.160] (II) RADEON(1): Output DVI-2 using monitor section Monitor2 [ 1210.215] (II) RADEON(1): Output DVI-3 has no monitor section [ 1210.246] (II) RADEON(1): EDID for output DVI-2 [ 1210.247] (II) RADEON(1): Printing probed modes for output DVI-2 [ 1210.299] (II) RADEON(1): EDID for output DVI-3 [ 1210.300] (II) RADEON(1): Printing probed modes for output DVI-3 [ 1210.300] (II) RADEON(1): Output DVI-2 connected [ 1210.300] (II) RADEON(1): Output DVI-3 connected [ 1210.300] (II) RADEON(1): Output DVI-2 using initial mode 1920x1200 [ 1210.300] (II) RADEON(1): Output DVI-3 using initial mode 1920x1200 Here is my /etc/X11/xorg.conf Section "ServerFlags" Option "RandR" "0" Option "Xinerama" "1" EndSection Section "ServerLayout" Identifier "Three Head Layout" Screen "MyPrecious0" Screen "MyPrecious2" RightOf "MyPrecious0" Screen "MyPrecious3" LeftOf "MyPrecious0" EndSection Section "Screen" Identifier "MyPrecious0" Monitor "Monitor0" Device "Device300" EndSection Section "Screen" Identifier "MyPrecious2" Monitor "Monitor2" Device "Device400" EndSection Section "Screen" Identifier "MyPrecious3" Monitor "Monitor3" Device "Device401" EndSection Section "Device" Identifier "Device300" BusID "PCI:3:0:0" Screen 0 Driver "radeon" EndSection Section "Device" Identifier "Device400" BusID "PCI:4:0:0" Screen 0 Driver "radeon" EndSection Section "Device" Identifier "Device401" BusID "PCI:4:0:0" Screen 1 Driver "radeon" EndSection Section "Monitor" Identifier "Monitor0" EndSection Section "Monitor" Identifier "Monitor2" EndSection Section "Monitor" Identifier "Monitor3" EndSection I tried to switch to vesa driver (didn't work for me) I tried to add options like Option "ZaphodHeads" "DVI-2" and Option "ZaphodHeads" "DVI-3" into sections "Device 400" and "Device 401" (this didn't help because "ZaphodHeads" option is for ranrd, and randr is disabled by decision) I tried to merge sections "Device 400" and "Device 401" into one section and add Option "ZaphodHeads" "DVI-2,DVI-3" (see comment about randr above) single section setup helps to change log line RADEON(1): Output DVI-3 has no monitor section into RADEON(1): Output DVI-3 using monitor section Monitor3 but nothing was enough to switch from screen cloning to separate screens. This problem (lack of documentation on radeon driver) is similar to these: Radeon display driver clones monitors while using Xinerama (moderators decision to close that problem was wrong) Ubuntu 12.10 multi-monitor setup isn't working The problem is solvable, because this hardware worked as three headed for me earlier with gentoo/xorg-server-1.3 Xorg -configure creates setup for the first monitor on the first GPU Please don't advise to use fglrx/aticonfig/amdcccle (this goes against my religion beliefs)

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  • Is your test method self-validating ?

    - by mehfuzh
    Writing state of art unit tests that can validate your every part of the framework is challenging and interesting at the same time, its like becoming a samurai. One of the key concept in this is to keep our test synced all the time as underlying code changes and thus breaking them to the furthest unit as possible.  This also means, we should avoid  multiple conditions embedded in a single test. Let’s consider the following example of transfer funds. [Fact] public void ShouldAssertTranserFunds() {     var currencyService = Mock.Create<ICurrencyService>();     //// current rate     Mock.Arrange(() => currencyService.GetConversionRate("AUS", "CAD")).Returns(0.88f);       Account to = new Account { Currency = "AUS", Balance = 120 };     Account from = new Account { Currency = "CAD" };       AccountService accService = new AccountService(currencyService);       Assert.Throws<InvalidOperationException>(() => accService.TranferFunds(to, from, 200f));       accService.TranferFunds(to, from, 100f);       Assert.Equal(from.Balance, 88);     Assert.Equal(20, to.Balance); } At first look,  it seems ok but as you look more closely , it is actually doing two tasks in one test. At line# 10 it is trying to validate the exception for invalid fund transfer and finally it is asserting if the currency conversion is successfully made. Here, the name of the test itself is pretty vague. The first rule for writing unit test should always reflect to inner working of the target code, where just by looking at their names it is self explanatory. Having a obscure name for a test method not only increase the chances of cluttering the test code, but it also gives the opportunity to add multiple paths into it and eventually makes things messy as possible. I would rater have two test methods that explicitly describes its intent and are more self-validating. ShouldThrowExceptionForInvalidTransferOperation ShouldAssertTransferForExpectedConversionRate Having, this type of breakdown also helps us pin-point reported bugs easily rather wasting any time on debugging for something more general and can minimize confusion among team members. Finally, we should always make our test F.I.R.S.T ( Fast.Independent.Repeatable.Self-validating.Timely) [ Bob martin – Clean Code]. Only this will be enough to ensure, our test is as simple and clean as possible.   Hope that helps

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  • BoundingBox created from mesh to origin, making it bigger

    - by Gunnar Södergren
    I'm working on a level-based survival game and I want to design my scenes in Maya and export them as a single model (with multiple meshes) into XNA. My problem is that when I try to create Bounding Boxes(for Collision purposes) for each of the meshes, the are calculated from origin to the far-end of the current mesh, so to speak. I'm thinking that it might have something to do with the position each mesh brings from Maya and that it's interpreted wrongly... or something. Here's the code for when I create the boxes: private static BoundingBox CreateBoundingBox(Model model, ModelMesh mesh) { Matrix[] boneTransforms = new Matrix[model.Bones.Count]; model.CopyAbsoluteBoneTransformsTo(boneTransforms); BoundingBox result = new BoundingBox(); foreach (ModelMeshPart meshPart in mesh.MeshParts) { BoundingBox? meshPartBoundingBox = GetBoundingBox(meshPart, boneTransforms[mesh.ParentBone.Index]); if (meshPartBoundingBox != null) result = BoundingBox.CreateMerged(result, meshPartBoundingBox.Value); } result = new BoundingBox(result.Min, result.Max); return result; } private static BoundingBox? GetBoundingBox(ModelMeshPart meshPart, Matrix transform) { if (meshPart.VertexBuffer == null) return null; Vector3[] positions = VertexElementExtractor.GetVertexElement(meshPart, VertexElementUsage.Position); if (positions == null) return null; Vector3[] transformedPositions = new Vector3[positions.Length]; Vector3.Transform(positions, ref transform, transformedPositions); for (int i = 0; i < transformedPositions.Length; i++) { Console.WriteLine(" " + transformedPositions[i]); } return BoundingBox.CreateFromPoints(transformedPositions); } public static class VertexElementExtractor { public static Vector3[] GetVertexElement(ModelMeshPart meshPart, VertexElementUsage usage) { VertexDeclaration vd = meshPart.VertexBuffer.VertexDeclaration; VertexElement[] elements = vd.GetVertexElements(); Func<VertexElement, bool> elementPredicate = ve => ve.VertexElementUsage == usage && ve.VertexElementFormat == VertexElementFormat.Vector3; if (!elements.Any(elementPredicate)) return null; VertexElement element = elements.First(elementPredicate); Vector3[] vertexData = new Vector3[meshPart.NumVertices]; meshPart.VertexBuffer.GetData((meshPart.VertexOffset * vd.VertexStride) + element.Offset, vertexData, 0, vertexData.Length, vd.VertexStride); return vertexData; } } Here's a link to the picture of the mesh(The model holds six meshes, but I'm only rendering one and it's bounding box to make it clearer: http://www.gsodergren.se/portfolio/wp-content/uploads/2011/10/Screen-shot-2011-10-24-at-1.16.37-AM.png The mesh that I'm refering to is the Cubelike one. The cylinder is a completely different model and not part of any bounding box calculation. I've double- (and tripple-)-checked that this mesh corresponds to this bounding box. Any thoughts on what I'm doing wrong?

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  • Big Data – Interacting with Hadoop – What is PIG? – What is PIG Latin? – Day 16 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the HIVE in Big Data Story. In this article we will understand what is PIG and PIG Latin in Big Data Story. Yahoo started working on Pig for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. What is Pig and What is Pig Latin? Pig is a high level platform for creating MapReduce programs used with Hadoop and the language we use for this platform is called PIG Latin. The pig was designed to make Hadoop more user-friendly and approachable by power-users and nondevelopers. PIG is an interactive execution environment supporting Pig Latin language. The language Pig Latin has supported loading and processing of input data with series of transforming to produce desired results. PIG has two different execution environments 1) Local Mode – In this case all the scripts run on a single machine. 2) Hadoop – In this case all the scripts run on Hadoop Cluster. Pig Latin vs SQL Pig essentially creates set of map and reduce jobs under the hoods. Due to same users does not have to now write, compile and build solution for Big Data. The pig is very similar to SQL in many ways. The Ping Latin language provide an abstraction layer over the data. It focuses on the data and not the structure under the hood. Pig Latin is a very powerful language and it can do various operations like loading and storing data, streaming data, filtering data as well various data operations related to strings. The major difference between SQL and Pig Latin is that PIG is procedural and SQL is declarative. In simpler words, Pig Latin is very similar to SQ Lexecution plan and that makes it much easier for programmers to build various processes. Whereas SQL handles trees naturally, Pig Latin follows directed acyclic graph (DAG). DAGs is used to model several different kinds of structures in mathematics and computer science. DAG Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Zookeeper. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Pure Front end JavaScript with Web API versus MVC views with ajax

    - by eyeballpaul
    This was more a discussion for what peoples thoughts are these days on how to split a web application. I am used to creating an MVC application with all its views and controllers. I would normally create a full view and pass this back to the browser on a full page request, unless there were specific areas that I did not want to populate straight away and would then use DOM page load events to call the server to load other areas using AJAX. Also, when it came to partial page refreshing, I would call an MVC action method which would return the HTML fragment which I could then use to populate parts of the page. This would be for areas that I did not want to slow down initial page load, or areas that fitted better with AJAX calls. One example would be for table paging. If you want to move on to the next page, I would prefer it if an AJAX call got that info rather than using a full page refresh. But the AJAX call would still return an HTML fragment. My question is. Are my thoughts on this archaic because I come from a .net background rather than a pure front end background? An intelligent front end developer that I work with, prefers to do more or less nothing in the MVC views, and would rather do everything on the front end. Right down to web API calls populating the page. So that rather than calling an MVC action method, which returns HTML, he would prefer to return a standard object and use javascript to create all the elements of the page. The front end developer way means that any benefits that I normally get with MVC model validation, including client side validation, would be gone. It also means that any benefits that I get with creating the views, with strongly typed html templates etc would be gone. I believe this would mean I would need to write the same validation for front end and back end validation. The javascript would also need to have lots of methods for creating all the different parts of the DOM. For example, when adding a new row to a table, I would normally use the MVC partial view for creating the row, and then return this as part of the AJAX call, which then gets injected into the table. By using a pure front end way, the javascript would would take in an object (for, say, a product) for the row from the api call, and then create a row from that object. Creating each individual part of the table row. The website in question will have lots of different areas, from administration, forms, product searching etc. A website that I don't think requires to be architected in a single page application way. What are everyone's thoughts on this? I am interested to hear from front end devs and back end devs.

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  • Open World Day 1 Continued

    - by Antony Reynolds
    A Day in the Life of an Oracle OpenWorld Attendee Part II A couple of things I forgot to mention about yesterdays OpenWorld. First I attended a presentation on SOA Suite and Virtualization which explained how Oracle Virtual Assembly Builder (OVAB) can be used to accelerate the deployment of an Enterprise Deployment Guide (EDG) compliant SOA Suite infrastructure.  OVAB provides the ability to introspect a deployed software component such as WebLogic Server, SOA Suite or other components and extract the configuration and package it up for rapid deployment into an Oracle Virtual Machine.  OVAB allows multiple machines to be configured and connections made between the machines and outside resources such as databases.  That by itself is pretty cool and has been available for a while in OVAB.  What is new is that Oracle has done this for an EDG compliant installations and made it available as an OVAB assembly for customers to use, significantly accelerating the deployment of an EDG deployment.  A real help for customers standing up EDG environments, particularly in test, dev and QA environments. The other thing I forgot to mention was the most memorable demo I saw at OpenWorld.  This was done by my co-author Matt Wright who was showcasing the products of his company Rubicon Red.  They showed a really cool application called OneSpot which puts all the information about a single users business processes in one spot!  Apparently a customer suggested the name.  It allows business flows to be defined that map onto events.  As events occur the status of the business flow is updated to reflect the change.  The interface is strongly reminiscent of social media sites and provides a graphical view of business flows.  So how does this differ from BPEL and BPM process flows?  The OneSpot process flow is more like a BAM process flow, it is based on events arriving from multiple sources, and is focused on the clients view of the process, not the actual business process.  This is important because it allows an end user to get a view of where his current business flow is and what actions, if any, are required of him.  This by itself is great, but better still is that OneSpot has a real time updating view of events that have occurred (BAM style no need to refresh the browser).  This means that as new events occur the end user can see them and jump to the business flow or take other appropriate actions.  Under the covers OneSpot makes use of Oracle Human Workflow to provide a forms interface, but this is not the HWF GUI you know!  The HWF GUI screens are much prettier and have more of a social media feel about them due to their use of images and pulling in relevant related information.  If you are at OOW I strongly recommend you visit Matt or John at the Rubicon Red stand and ask, no demand a demo of OneSpot!

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  • links for 2011-03-15

    - by Bob Rhubart
    Dr. Frank Munz: Resize AWS EC2 Cloud Instances Dr Munz says: "You cannot dynamically resize a running cloud instance. E.g. there is no API call to ask for 2.2 GHz CPU speed instead of 1.8 GHz or to dynamically add another 3.5 GB of RAM." (tags: oracle cloud amazon ec2) Roddy Rodstein: Oracle VM Manager Architecture and Scalability Rodstein says: "Oracle VM Manager can be installed in an all-in-one configuration using the default Oracle 10g Express Database or in a more traditional two tier architecture with an OC4J web tier and a 10 or 11g database tier." (tags: oracle otn virtualization oraclevm) Mark Nelson: Getting started with Continuous Integration for SOA projects Nelson says: "I am exploring how to use Maven and Hudson to create a continuous integration capability for SOA and BPM projects. This will be the first post of several on this topic, and today we will look at setting up some simple continuous integration for a single SOA project." (tags: oracle maven hudson soa bpm) 5 New Java Champions (The Java Source) Tori Wieldt shares the big news. Congratulations to new Java Champs Jonas Bonér, James Strachan, Rickard Oberg, Régina ten Bruggencate, and Clara Ko. (tags: oracle java) Alert for Forms customers running Oracle Forms 10g (Grant Ronald's Blog) Ronald says: "While you might have been happily running your Forms 10g applications for about 5 years or so now, the end of premier support is creeping up and you need to start planning for a move to Oracle Forms 11g." (tags: oracle oracleforms) Brenda Michelson: Enterprise Architecture Rant #4,892 "I’m increasingly concerned about the macro-direction of our field, as we continue to suffer ivory tower enterprise architecture punditry, rigid frameworks and endless philosophical waxing." - Brenda Michelson (tags: entarch enterprisearchitecture ivorytower) Amitabh Apte: Enterprise Architecture - Different Perspectives "Business does not need Enterprise Architecture," says Apte, "it needs value and outcomes from the EA function." (tags: entarch enterprisearchitecture) First Ever MySQL on Windows Online Forum - March 16, 2011 (Oracle's MySQL Blog) Monica Kumar shares the details. (tags: oracle mysql mswindows) Jeff Davies: Running Multiple WebLogic and OSB Domains "There is a small 'gotcha' if you want to create multiple domains on a devevelopment machine," says Jeff Davies. But don't worry - there's a solution. (tags: oracle soa osb weblogic servicebus) The Arup Nanda Blog: Good Engineering "Engineering is not about being superficially creative," Nanda says, "it's about reliability and trustworthiness." (tags: oracle engineering software technology) Welcome to the SOA & E2.0 Partner Community Forum (SOA Partner Community Blog) (tags: ping.fm)

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  • You do not need a separate SQL Server license for a Standby or Passive server - this Microsoft White Paper explains all

    - by tonyrogerson
    If you were in any doubt at all that you need to license Standby / Passive Failover servers then the White Paper “Do Not Pay Too Much for Your Database Licensing” will settle those doubts. I’ve had debate before people thinking you can only have a single instance as a standby machine, that’s just wrong; it would mean you could have a scenario where you had a 2 node active/passive cluster with database mirroring and log shipping (a total of 4 SQL Server instances) – in that set up you only need to buy one physical license so long as the standby nodes have the same or less physical processors (cores are irrelevant). So next time your supplier suggests you need a license for your standby box tell them you don’t and educate them by pointing them to the white paper. For clarity I’ve copied the extract below from the White Paper. Extract from “Do Not Pay Too Much for Your Database Licensing” Standby Server Customers often implement standby server to make sure the application continues to function in case primary server fails. Standby server continuously receives updates from the primary server and will take over the role of primary server in case of failure in the primary server. Following are comparisons of how each vendor supports standby server licensing. SQL Server Customers does not need to license standby (or passive) server provided that the number of processors in the standby server is equal or less than those in the active server. Oracle DB Oracle requires customer to fully license both active and standby servers even though the standby server is essentially idle most of the time. IBM DB2 IBM licensing on standby server is quite complicated and is different for every editions of DB2. For Enterprise Edition, a minimum of 100 PVUs or 25 Authorized User is needed to license standby server.   The following graph compares prices based on a database application with two processors (dual-core) and 25 users with one standby server. [chart snipped]  Note   All prices are based on newest Intel Xeon Nehalem processor database pricing for purchases within the United States and are in United States dollars. Pricing is based on information available on vendor Web sites for Enterprise Edition. Microsoft SQL Server Enterprise Edition 25 users (CALs) x $164 / CAL + $8,592 / Server = $12,692 (no need to license standby server) Oracle Enterprise Edition (base license without options) Named User Plus minimum (25 Named Users Plus per Core) = 25 x 2 = 50 Named Users Plus x $950 / Named Users Plus x 2 servers = $95,000 IBM DB2 Enterprise Edition (base license without feature pack) Need to purchase 125 Authorized User (400 PVUs/100 PVUs = 4 X 25 = 100 Authorized User + 25 Authorized Users for standby server) = 125 Authorized Users x $1,040 / Authorized Users = $130,000  

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  • Unification of TPL TaskScheduler and RX IScheduler

    - by JoshReuben
    using System; using System.Collections.Generic; using System.Reactive.Concurrency; using System.Security; using System.Threading; using System.Threading.Tasks; using System.Windows.Threading; namespace TPLRXSchedulerIntegration { public class MyScheduler :TaskScheduler, IScheduler     { private readonly Dispatcher _dispatcher; private readonly DispatcherScheduler _rxDispatcherScheduler; //private readonly TaskScheduler _tplDispatcherScheduler; private readonly SynchronizationContext _synchronizationContext; public MyScheduler(Dispatcher dispatcher)         {             _dispatcher = dispatcher;             _rxDispatcherScheduler = new DispatcherScheduler(dispatcher); //_tplDispatcherScheduler = FromCurrentSynchronizationContext();             _synchronizationContext = SynchronizationContext.Current;         }         #region RX public DateTimeOffset Now         { get { return _rxDispatcherScheduler.Now; }         } public IDisposable Schedule<TState>(TState state, DateTimeOffset dueTime, Func<IScheduler, TState, IDisposable> action)         { return _rxDispatcherScheduler.Schedule(state, dueTime, action);         } public IDisposable Schedule<TState>(TState state, TimeSpan dueTime, Func<IScheduler, TState, IDisposable> action)         { return _rxDispatcherScheduler.Schedule(state, dueTime, action);         } public IDisposable Schedule<TState>(TState state, Func<IScheduler, TState, IDisposable> action)         { return _rxDispatcherScheduler.Schedule(state, action);         }         #endregion         #region TPL /// Simply posts the tasks to be executed on the associated SynchronizationContext         [SecurityCritical] protected override void QueueTask(Task task)         {             _dispatcher.BeginInvoke((Action)(() => TryExecuteTask(task))); //TryExecuteTaskInline(task,false); //task.Start(_tplDispatcherScheduler); //m_synchronizationContext.Post(s_postCallback, (object)task);         } /// The task will be executed inline only if the call happens within the associated SynchronizationContext         [SecurityCritical] protected override bool TryExecuteTaskInline(Task task, bool taskWasPreviouslyQueued)         { if (SynchronizationContext.Current != _synchronizationContext)             { SynchronizationContext.SetSynchronizationContext(_synchronizationContext);             } return TryExecuteTask(task);         } // not implemented         [SecurityCritical] protected override IEnumerable<Task> GetScheduledTasks()         { return null;         } /// Implementes the MaximumConcurrencyLevel property for this scheduler class. /// By default it returns 1, because a <see cref="T:System.Threading.SynchronizationContext"/> based /// scheduler only supports execution on a single thread. public override Int32 MaximumConcurrencyLevel         { get             { return 1;             }         } //// preallocated SendOrPostCallback delegate //private static SendOrPostCallback s_postCallback = new SendOrPostCallback(PostCallback); //// this is where the actual task invocation occures //private static void PostCallback(object obj) //{ //    Task task = (Task) obj; //    // calling ExecuteEntry with double execute check enabled because a user implemented SynchronizationContext could be buggy //    task.ExecuteEntry(true); //}         #endregion     } }     What Design Pattern did I use here?

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  • Going Metro

    - by Tony Davis
    When it was announced, I confess was somewhat surprised by the striking new "Metro" User Interface for Windows 8, based on Swiss typography, Bauhaus design, tiles, touches and gestures, and the new Windows Runtime (WinRT) API on which Metro apps were to be built. It all seemed to have come out of nowhere, like field mushrooms in the night and seemed quite out-of-character for a company like Microsoft, which has hung on determinedly for over twenty years to its quaint Windowing system. Many were initially puzzled by the lack of support for plug-ins in the "Metro" version of IE10, which ships with Win8, and the apparent demise of Silverlight, Microsoft's previous 'radical new framework'. Win8 signals the end of the road for Silverlight apps in the browser, but then its importance here has been waning for some time, anyway, now that HTML5 has usurped its most compelling use case, streaming video. As Shawn Wildermuth and others have noted, if you're doing enterprise, desktop development with Silverlight then nothing much changes immediately, though it seems clear that ultimately Silverlight will die off in favor of a single WPF/XAML framework that supports those technologies that were pioneered on the phones and tablets. There is a mystery here. Is Silverlight dead, or merely repurposed? The more you look at Metro, the more it seems to resemble Silverlight. A lot of the philosophies underpinning Silverlight applications, such as the fundamentally asynchronous nature of the design, have moved wholesale into Metro, along with most the Microsoft Silverlight dev team. As Simon Cooper points out, "Silverlight developers, already used to all the principles of sandboxing and separation, will have a much easier time writing Metro apps than desktop developers". Metro certainly has given the framework formerly known as Silverlight a new purpose. It has enabled Microsoft to bestow on Windows 8 a new "duality", as both a traditional desktop OS supporting 'legacy' Windows applications, and an OS that supports a new breed of application that can share functionality such as search, that understands, and can react to, the full range of gestures and screen-sizes, and has location-awareness. It's clear that Win8 is developed in the knowledge that the 'desktop computer' will soon be a very large, tilted, touch-screen monitor. Windows owes its new-found versatility to the lessons learned from Windows Phone, but it's developed for the big screen, and with full support for familiar .NET desktop apps as well as the new Metro apps. But the old mouse-driven Windows applications will soon look very passé, just as MSDOS character-mode applications did in the nineties. Cheers, Tony.

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  • Introduction to Lean Software Development and Kanban Systems

    - by Ben Griswold
    Last year I took myself through a crash course on Lean Software Development and Kanban Systems in preparation for an in-house presentation.  I learned a bunch.  In this series, I’ll be sharing what I learned with you.   If your career looks anything like mine, you have probably been affiliated with a company or two which pushed requirements gathering and documentation to the nth degree. To add insult to injury, they probably added planning process (documentation, requirements, policies, meetings, committees) to the extent that it possibly retarded any progress. In my opinion, the typical company resembles the quote from Tom DeMarco. It isn’t enough just to do things right – we also had to say in advance exactly what we intended to do and then do exactly that. In the 1980s, Toyota turned the tables and revolutionize the automobile industry with their approach of “Lean Manufacturing.” A massive paradigm shift hit factories throughout the US and Europe. Mass production and scientific management techniques from the early 1900’s were questioned as Japanese manufacturing companies demonstrated that ‘Just-in-Time’ was a better paradigm. The widely adopted Japanese manufacturing concepts came to be known as ‘lean production’. Lean Thinking capitalizes on the intelligence of frontline workers, believing that they are the ones who should determine and continually improve the way they do their jobs. Lean puts main focus on people and communication – if people who produce the software are respected and they communicate efficiently, it is more likely that they will deliver good product and the final customer will be satisfied. In time, the abstractions behind lean production spread to logistics, and from there to the military, to construction, and to the service industry. As it turns out, principles of lean thinking are universal and have been applied successfully across many disciplines. Lean has been adopted by companies including Dell, FedEx, Lens Crafters, LLBean, SW Airlines, Digital River and eBay. Lean thinking got its name from a 1990’s best seller called The Machine That Changed the World : The Story of Lean Production. This book chronicles the movement of automobile manufacturing from craft production to mass production to lean production. Tom and Mary Poppendieck, that is.  Here’s one of their books: Implementing Lean Software Thinking: From Concept to Cash Our in-house presentations are supposed to run no more than 45 minutes.  I really cranked and got through my 87 slides in just under an hour. Of course, I had to cheat a little – I only covered the 7 principles and a single practice. In the next part of the series, we’ll dive into Principle #1: Eliminate Waste. And I am going to be a little obnoxious about listing my Lean and Kanban references with every series post.  The references are great and they deserve this sort of attention. 

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  • SQL SERVER – Introduction to PERCENTILE_DISC() – Analytic Functions Introduced in SQL Server 2012

    - by pinaldave
    SQL Server 2012 introduces new analytical function PERCENTILE_DISC(). The book online gives following definition of this function: Computes a specific percentile for sorted values in an entire rowset or within distinct partitions of a rowset in Microsoft SQL Server 2012 Release Candidate 0 (RC 0). For a given percentile value P, PERCENTILE_DISC sorts the values of the expression in the ORDER BY clause and returns the value with the smallest CUME_DIST value (with respect to the same sort specification) that is greater than or equal to P. If you are clear with understanding of the function – no need to read further. If you got lost here is the same in simple words – find value of the column which is equal or more than CUME_DIST. Before you continue reading this blog I strongly suggest you read about CUME_DIST function over here Introduction to CUME_DIST – Analytic Functions Introduced in SQL Server 2012. Now let’s have fun following query: USE AdventureWorks GO SELECT SalesOrderID, OrderQty, ProductID, CUME_DIST() OVER(PARTITION BY SalesOrderID ORDER BY ProductID ) AS CDist, PERCENTILE_DISC(0.5) WITHIN GROUP (ORDER BY ProductID) OVER (PARTITION BY SalesOrderID) AS PercentileDisc FROM Sales.SalesOrderDetail WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY SalesOrderID DESC GO The above query will give us the following result: You can see that I have used PERCENTILE_DISC(0.5) in query, which is similar to finding median but not exactly. PERCENTILE_DISC() function takes a percentile as a passing parameters. It returns the value as answer which value is equal or great to the percentile value which is passed into the example. For example in above example we are passing 0.5 into the PERCENTILE_DISC() function. It will go through the resultset and identify which rows has values which are equal to or great than 0.5. In first example it found two rows which are equal to 0.5 and the value of ProductID of that row is the answer of PERCENTILE_DISC(). In some third windowed resultset there is only single row with the CUME_DIST() value as 1 and that is for sure higher than 0.5 making it as a answer. To make sure that we are clear with this example properly. Here is one more example where I am passing 0.6 as a percentile. Now let’s have fun following query: USE AdventureWorks GO SELECT SalesOrderID, OrderQty, ProductID, CUME_DIST() OVER(PARTITION BY SalesOrderID ORDER BY ProductID ) AS CDist, PERCENTILE_DISC(0.6) WITHIN GROUP (ORDER BY ProductID) OVER (PARTITION BY SalesOrderID) AS PercentileDisc FROM Sales.SalesOrderDetail WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY SalesOrderID DESC GO The above query will give us the following result: The result of the PERCENTILE_DISC(0.6) is ProductID of which CUME_DIST() is more than 0.6. This means for SalesOrderID 43670 has row with CUME_DIST() 0.75 is the qualified row, resulting answer 773 for ProductID. I hope this explanation makes it further clear. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – Sharing your ETL Resources Across Applications with Ease

    - by pinaldave
    Frequently an organization will find that the same resources are used in multiple ETL applications, for example, the same database, general purpose processing logic, or file system locations.  Creating an easy way to reuse these resources across multiple applications would increase efficiency and reduce errors.  Moreover, not every ETL developer has the same skill set, and it is likely that one developer will be more adept at writing code while another is more comfortable configuring database connections.  Real productivity gains will come when these developers are able to work independently while still making their work available to others assigned to the same project.  These are the benefits of a centralized version control system. Of course, most version control systems could be used to store and serve files, but the real need is to store and serve entire ETL applications so that each developer’s ongoing work can immediately benefit from another developer’s completed work.  In other words, the version control system needs to be tightly integrated with the tools used to develop the ETL application. The following screen shot shows such a tool. Desktop ETL tool that tightly integrates with a central version control system Developers can checkout or commit entire projects or just a single artifact.  Each artifact may be managed independently so if you need to go back to an earlier version of one artifact, changes you may have made to other artifacts are not lost.  By being tightly integrated into the graphical environment used to create and edit the project artifacts, it is extremely easy and straight-forward to move your files to and from the version control system and there is no dependency on another vendor’s version control system.  The built in version control system is optimized for managing the artifacts of ETL applications. It is equally important that the version control system supports all of the actions one typically performs such as rollbacks, locking and unlocking of files, and the ability to resolve conflicts.  Note that this particular ETL tool also has the capability to switch back and forth between multiple version control systems. It also needs to be easy to determine the status of an artifact.  Not just that it has been committed or modified, but when and by whom.  Generally you must query the version control system for this information, but having it displayed within the development environment is more desirable. Who’s ETL tool works in this fashion?  Last month I mentioned the data integration solution offered by expressor software.  The version control features I described in this post are all available in their just released expressor 3.1 Standard Edition through the integration of their expressor Studio development environment with a centralized metadata repository and version control system. You can download their Studio application, which is free, or evaluate the full Standard Edition on your own hardware.  It may be worth your time. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Implementing set operations in TSQL

    - by dotneteer
    SQL excels at operating on dataset. In this post, I will discuss how to implement basic set operations in transact SQL (TSQL). The operations that I am going to discuss are union, intersection and complement (subtraction).   Union Intersection Complement (subtraction) Implementing set operations using union, intersect and except We can use TSQL keywords union, intersect and except to implement set operations. Since we are in an election year, I will use voter records of propositions as an example. We create the following table and insert 6 records into the table. declare @votes table (VoterId int, PropId int) insert into @votes values (1, 30) insert into @votes values (2, 30) insert into @votes values (3, 30) insert into @votes values (4, 30) insert into @votes values (4, 31) insert into @votes values (5, 31) Voters 1, 2, 3 and 4 voted for proposition 30 and voters 4 and 5 voted for proposition 31. The following TSQL statement implements union using the union keyword. The union returns voters who voted for either proposition 30 or 31. select VoterId from @votes where PropId = 30 union select VoterId from @votes where PropId = 31 The following TSQL statement implements intersection using the intersect keyword. The intersection will return voters who voted only for both proposition 30 and 31. select VoterId from @votes where PropId = 30 intersect select VoterId from @votes where PropId = 31 The following TSQL statement implements complement using the except keyword. The complement will return voters who voted for proposition 30 but not 31. select VoterId from @votes where PropId = 30 except select VoterId from @votes where PropId = 31 Implementing set operations using join An alternative way to implement set operation in TSQL is to use full outer join, inner join and left outer join. The following TSQL statement implements union using full outer join. select Coalesce(A.VoterId, B.VoterId) from (select VoterId from @votes where PropId = 30) A full outer join (select VoterId from @votes where PropId = 31) B on A.VoterId = B.VoterId The following TSQL statement implements intersection using inner join. select Coalesce(A.VoterId, B.VoterId) from (select VoterId from @votes where PropId = 30) A inner join (select VoterId from @votes where PropId = 31) B on A.VoterId = B.VoterId The following TSQL statement implements complement using left outer join. select Coalesce(A.VoterId, B.VoterId) from (select VoterId from @votes where PropId = 30) A left outer join (select VoterId from @votes where PropId = 31) B on A.VoterId = B.VoterId where B.VoterId is null Which one to choose? To choose which technique to use, just keep two things in mind: The union, intersect and except technique treats an entire record as a member. The join technique allows the member to be specified in the “on” clause. However, it is necessary to use Coalesce function to project sets on the two sides of the join into a single set.

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  • RTS Movement + Navigation + Destination

    - by Oliver Jones
    I'm looking into building my own simple RTS game, and I'm trying to get my head around the movement of single, and multi selected units. (Developing in Unity) After much research, I now know that its a bigger task than I thought. So I need to break it down. I already have an A* navigation system with static obstacles taken into account. I don't want to worry about dynamic local avoidance right now. So I guess my first break down question would be: How would I go about moving mutli units to the same location. Right now - my units move to the location, but because they're all told to go to the same location, they start to 'fight' over one another to get there. I think theres two paths to go down: 1) Give each individual unit a separate destination point that is close to the 'master' destination point - and get the units to move to that. 2) Group my selected units in a flock formation, and move that entire flock group towards the destination point. Question about each path: 1a) How can I go about finding a suitable destination point that is close to the master destination? What happens if there isn't a suitable destination point? 1b) Would this be more CPU heavy? As it has to compute a path for each unit? (40 unit count). 2a) Is this a good idea? Not giving the units themselves a destination, but instead the flock (which holds the units within). The units within the flock could then maintain a formation (local avoidance) - though, again local avoidance is not an issue at this current time. 2b) Not sure what results I would get if I have a flock of 5 units, or a flock of 40 units, as the radius would be greater - which might mess up my A* navigation system. In other words: A flock of 2 units will be able to move down an alleyway, but a flock of 40 wont. But my nav system won't take that into account. I would appreciate any feedback. Kind regards, Ollie Jones

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  • O the Agony - Merging Scrum and Waterfall

    - by John K. Hines
    If there's nothing else to know about Scrum (and Agile in general), it's this: You can't force a team to adopt Agile methods.  In all cases, the team must want to change. Well, sure, you could force a team.  But it's going to be a horrible, painful process with a huge learning curve made even steeper by the lack of training and motivation on behalf of the team.  On a completely unrelated note, I've spent the past three months working on a team that was formed by merging three separate teams.  One of these teams has been adopting and using Agile practices like Scrum since 2007, the other was in continuous bug fix mode, releasing on average one new piece of software per year using semi-Waterfall methods.  In particular, one senior developer on the Waterfall team didn't see anything in Agile but overhead. Fast forward through three months of tension, passive resistance, process pushback, and you have seven people who want to change and one who explicitly doesn't.  It took two things to make Scrum happen: The team manager took a class called "Agile Software Development using Scrum". The team lead explained the point of Agile was to reduce the workload of the senior developer, with another senior developer and the manager present. It's incredible to me how a single person can strongly influence the direction of an entire team.  Let alone if Scrum comes down as some managerial decree onto a functioning team who have no idea what it is.  Pity the fool. On the bright side, I am now an expert at drawing Visio process flows.  And I have some gentle advice for any first-level managers: If you preside over a team process change, it's beneficial to start the discussion on how the team will work as early as possible.  You should have a vision for this and guide the discussion, even if decisions are weeks away.  Don't always root for the underdog.  It's been my experience that managers who see themselves as compassionate and caring spend a great deal of time understanding and advocating for the one person on the team who feels left out.  Remember that by focusing on this one person you risk alienating the rest of the team, allow tension to build, and delay the resolution of the problem. My way would have been to decree Scrum, force all of my processes on everyone else, and use the past three months ironing out the kinks.  Which takes us all the way back to point number one. Technorati tags: Scrum Scrum Process Scrum and Waterfall

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  • JCP EC Nominations and Meet the Candidates Call

    - by heathervc
    The Nominations period for the 2012 JCP EC Elections closes tomorrow, 11 October at midnight pacific time.  Eligible JCP Members (all current JSPA 2 signers) may nominate themselves.  You will need your Elections credentials to complete the nomination, which were sent to the primary contacts of all eligible JCP Members via email last week. This year all ratified (there are 4 proposed ratified candidates) and elected (there are 7 candidates so far) will appear on one ballot; the top 2 candidates will win elected seats. This year, the selected EC Members will serve a single year term.  Following the 2012 Elections, there will be one merged EC (approved through JSR 355), and a new JCP version, JCP 2.9 will be in effect.  In 2013, all EC members will stand for election to complete the merge process described in the JCP 2.9 process document. All of the candidates' nominations materials are now available. The ratified candidates are:  Cinterion, Credit Suisse, Fujitsu and HP.The elected candidates are:  Cisco Systems, CloudBees, Giuseppe Dell'Abate, London Java Community, MoroccoJUG, Software AG, and Zero Turnaround. Next week, 18 October, we will hold an open teleconference for the Java Community to meet the candidates and ask questions regarding their nomination.  We hope you will be able to participate in the call.  Should the time be inconvenient, a recording will be made available for download, and candidate questions may be posted on this blog entry or sent to [email protected]. Topic: Meet the EC Candidates Date: Thursday, October 18, 2012 Time: 9:30 am, Pacific Daylight Time (San Francisco, GMT-07:00) Meeting Number: 807 818 225 Meeting Password: MeetEC ------------------------------------------------------- To join the online meeting (Now from mobile devices) ------------------------------------------------------- 1. Go to https://jcp.webex.com/jcp/j.php?ED=186721592&UID=0&PW=NMmUzNjY5ZTMw&RT=MiM0 2. If requested, enter your name and email address. 3. If a password is required, enter the meeting password: MeetEC 4. Click "Join". To view in other time zones or languages, please click the link: https://jcp.webex.com/jcp/j.php?ED=186721592&UID=0&PW=NMmUzNjY5ZTMw&ORT=MiM0 ------------------------------------------------------- To join the audio conference only -------------------------------------------------------     +1 (866) 682-4770     Outside the US: global access numbers  https://www.intercallonline.com/portlets/scheduling/viewNumbers/listNumbersByCode.do?confCode=6279803 or +1 (408) 774-4073     Conference code: 9454597     Security code: JCPEC (52732)------------------------------------------------------- For assistance ------------------------------------------------------- 1. Go to https://jcp.webex.com/jcp/mc 2. On the left navigation bar, click "Support".

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  • Steps to deploying on Windows Azure

    - by Vincent Grondin
    Alright, these steps might be a little detailed and of few might not be necessary but still it's a pretty accurate road map to deploying on azure...     1)     Open you solution 2)      Rebuild ALL 3)      Right click on your Azure project and click "Publish" 4)      It should open a windows explorer window with your package to be uploaded (.cspkg ) and its associated configuration (.cscfg) to be uploaded too.  Keep it open, you'll need that path later on... 5)      It should also open a browser asking you to login to your passport account, please do so. 6)      After this you will be redirected to the Azure Portal where you will see your Azure Project Name below the « Projet Name » section.  Click on it. 7)      Then you should be redirected to a detailed view of your account on Azure where you will create a new service by clicking the hyperlink on the top right corner. 8)      Choose the right service type for you, most likely the "Hosted Service" type 9)      Choose a « Label » name and click « next » 10)   Choose a name for your service and validate that the name is available in the cloud by clicking the "Check Availability" button 11)   At the bottom of this same page, you can choose to create a group for your service, use no group or join an existing group.  Creating a group means that all applications that belong to the same group will see no cost to exchanging data between other applications of the same group.  Most of the time when you create a single application, creating a group is not necessary.  You should choose a region that's close to your own region. 12)   On the next window, you should see a "Production" environment and a "Staging" environment.  Beware because "Staging" and "Production" are two different environments in the cloud and applications in "Staging" even when not runing do continue to rack in charges...  Choose an environment and click "Deploy". 13)   In the following window, browse to the path where your cspkg resides and then do the same thing with your cscfg file.  Choose a name for your Label,  and click "Deploy"... 14)   From now on, the clock is ticking and unless you have free Azure hours, your credit card is being billed… 15)   Click on the « Run » button to start your application 16)   Be patient.... be very patient… 17)   Once your application has finished starting, you should see a GREEN circle on the left side of the screen indicating that your application is READY.  Click the URL to test your application and remember that if your application is a service, you have to hit the "svc" class behind the link you see there.  Something in the likes of http://testvince2.cloudapp.net/service1.svc  (this is a fictional link) 18)   Hopefully your application will show up or in the case of a service, you will see your service's wsdl meaning that everything is working fine. Happy cloud computing all!

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  • When should complexity be removed?

    - by ElGringoGrande
    Prematurely introducing complexity by implementing design patterns before they are needed is not good practice. But if you follow all (or even most of) the SOLID principles and use common design patterns you will introduce some complexity as features and requirements are added or changed to keep your design as maintainable and flexible as needed. However once that complexity is introduced and working like a champ when do you removed it? Example. I have an application written for a client. When originally created there where several ways to give raises to employees. I used the strategy pattern and factory to keep the whole process nice and clean. Over time certain raise methods where added or removed by the application owner. Time passes and new owner takes over. This new owner is hard nosed, keeps everything simple and only has one single way to give a raise. The complexity needed by the strategy pattern is no longer needed. If I where to code this from the requirements as they are now I would not introduce this extra complexity (but make sure I could introduce it with little or no work should the need arise). So do I remove the strategy implementation now? I don't think this new owner will ever change how raises are given. But the application itself has demonstrated that this could happen. Of course this is just one example in an application where a new owner takes over and has simplified many processes. I could remove dozens of classes, interfaces and factories and make the whole application much more simple. Note that the current implementation does works just fine and the owner is happy with it (and surprised and even happier that I was able to implement her changes so quickly because of the discussed complexity). I admit that a small part of this doubt is because it is highly likely the new owner isn't going to use me any longer. I don't really care that somebody else will take this over since it has not been a big income generator. But I do care about 2 (related) things I care a bit that the new maintainer will have to think a bit harder when trying to understand the code. Complexity is complexity and I don't want to anger the psycho maniac coming after me. But even more I worry about a competitor seeing this complexity and thinking I just implement design patterns to pad my hours on jobs. Then spreading this rumor to hurt my other business. (I have heard this mentioned.) So... In general should previously needed complexity be removed even though it works and there has been a historically demonstrated need for the complexity but you have no indication that it will be needed in the future? Even if the question above is generally answered "no" is it wise to remove this "un-needed" complexity if handing off the project to a competitor (or stranger)?

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  • Ghost team foundation build controllers

    - by Martin Hinshelwood
    Quite often after an upgrade there are things left over. Most of the time they are easy to delete, but sometimes it takes a little effort. Even rarer are those times when something just will not go away no matter how much you try. We have had a ghost team build controller hanging around for a while now, and it had defeated my best efforts to get rid of it. The build controller was from our old TFS server from before our TFS 2010 beta 2 upgrade and was really starting to annoy me. Every time I try to delete it I get the message: Controller cannot be deleted because there are build in progress -Manage Build Controller dialog   Figure: Deleting a ghost controller does not always work. I ended up checking all of our 172 Team Projects for the build that was queued, but did not find anything. Jim Lamb pointed me to the “tbl_BuildQueue” table in the team Project Collection database and sure enough there was the nasty little beggar. Figure: The ghost build was easily spotted Adam Cogan asked me: “Why did you suspect this one?” Well, there are a number of things that led me to suspect it: QueueId is very low: Look at the other items, they are in the thousands not single digits ControllerId: I know there is only one legitimate controller, and I am assuming that 6 relates to “zzUnicorn” DefinitionId: This is a very low number and I looked it up in “tbl_BuildDefinition” and it did not exist QueueTime: As we did not upgrade to TFS 2010 until late 2009 a date of 2008 for a queued build is very suspect Status: A status of 2 means that it is still queued This build must have been queued long ago when we were using TFS 2008, probably a beta, and it never got cleaned up. As controllers are new in TFS 2010 it would have created the “zzUnicorn” controller to handle any build servers that already exist. I had previously deleted the Agent, but leaving the controller just looks untidy. Now that the ghost build has been identified there are two options: Delete the row I would not recommend ever deleting anything from the database to achieve something in TFS. It is really not supported. Set the Status to cancelled (Recommended) This is the best option as TFS will then clean it up itself So I set the Status of this build to 2 (cancelled) and sure enough it disappeared after a couple of minutes and I was then able to then delete the “zzUnicorn” controller. Figure: Almost completely clean Now all I have to do is get rid of that untidy “zzBunyip” agent, but that will require rewriting one of our build scripts which will have to wait for now.   Technorati Tags: ALM,TFBS,TFS 2010

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • SQL SERVER – Move Database Files MDF and LDF to Another Location

    - by pinaldave
    When a novice DBA or Developer create a database they use SQL Server Management Studio to create new database. Additionally, the T-SQL script to create a database is very easy as well. You can just write CREATE DATABASE DatabaseName and it will create new database for you. The point to remember here is that it will create the database at the default location specified for SQL Server Instance (this default instance can be changed and we will see that in future blog posts). Now, once the database goes in production it will start to grow. It is not common to keep the Database on the same location where OS is installed. Usually Database files are on SAN, Separate Disk Array or on SSDs. This is done usually for performance reason and manageability perspective. Now the challenges comes up when database which was installed at not preferred default location and needs to move to a different location. Here is the quick tutorial how you can do it. Let us assume we have two folders loc1 and loc2. We want to move database files from loc1 to loc2. USE MASTER; GO -- Take database in single user mode -- if you are facing errors -- This may terminate your active transactions for database ALTER DATABASE TestDB SET SINGLE_USER WITH ROLLBACK IMMEDIATE; GO -- Detach DB EXEC MASTER.dbo.sp_detach_db @dbname = N'TestDB' GO Now move the files from loc1 to loc2. You can now reattach the files with new locations. -- Move MDF File from Loc1 to Loc 2 -- Re-Attached DB CREATE DATABASE [TestDB] ON ( FILENAME = N'F:\loc2\TestDB.mdf' ), ( FILENAME = N'F:\loc2\TestDB_log.ldf' ) FOR ATTACH GO Well, we are done. There is little warning here for you: If you do ROLLBACK IMMEDIATE you may terminate your active transactions so do not use it randomly. Do it if you are confident that they are not needed or due to any reason there is a connection to the database which you are not able to kill manually after review. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Is there a better term than "smoothness" or "granularity" to describe this language feature?

    - by Chris Stevens
    One of the best things about programming is the abundance of different languages. There are general purpose languages like C++ and Java, as well as little languages like XSLT and AWK. When comparing languages, people often use things like speed, power, expressiveness, and portability as the important distinguishing features. There is one characteristic of languages I consider to be important that, so far, I haven't heard [or been able to come up with] a good term for: how well a language scales from writing tiny programs to writing huge programs. Some languages make it easy and painless to write programs that only require a few lines of code, e.g. task automation. But those languages often don't have enough power to solve large problems, e.g. GUI programming. Conversely, languages that are powerful enough for big problems often require far too much overhead for small problems. This characteristic is important because problems that look small at first frequently grow in scope in unexpected ways. If a programmer chooses a language appropriate only for small tasks, scope changes can require rewriting code from scratch in a new language. And if the programmer chooses a language with lots of overhead and friction to solve a problem that stays small, it will be harder for other people to use and understand than necessary. Rewriting code that works fine is the single most wasteful thing a programmer can do with their time, but using a bazooka to kill a mosquito instead of a flyswatter isn't good either. Here are some of the ways this characteristic presents itself. Can be used interactively - there is some environment where programmers can enter commands one by one Requires no more than one file - neither project files nor makefiles are required for running in batch mode Can easily split code across multiple files - files can refeence each other, or there is some support for modules Has good support for data structures - supports structures like arrays, lists, and especially classes Supports a wide variety of features - features like networking, serialization, XML, and database connectivity are supported by standard libraries Here's my take on how C#, Python, and shell scripting measure up. Python scores highest. Feature C# Python shell scripting --------------- --------- --------- --------------- Interactive poor strong strong One file poor strong strong Multiple files strong strong moderate Data structures strong strong poor Features strong strong strong Is there a term that captures this idea? If not, what term should I use? Here are some candidates. Scalability - already used to decribe language performance, so it's not a good idea to overload it in the context of language syntax Granularity - expresses the idea of being good just for big tasks versus being good for big and small tasks, but doesn't express anything about data structures Smoothness - expresses the idea of low friction, but doesn't express anything about strength of data structures or features Note: Some of these properties are more correctly described as belonging to a compiler or IDE than the language itself. Please consider these tools collectively as the language environment. My question is about how easy or difficult languages are to use, which depends on the environment as well as the language.

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  • The winning combination: Oracle VM Server for x86 + Oracle Sun Fire HW

    - by Karim Berrah
    You might be wondering why OVM Server for x86 (OVM/x86 here and below) should be seriously considered as a nice (business point of view) alternative to standard Hypervisors, if you are virtualizing Oracle Software, especially if you are planning to move to Oracle x86 Hardware (rackmount or blades). Well, let see some "not well known" facts that might interest you and help you in saving more money for your entire company (and not only the Virtulization team). Fact 1: OVM/x86 is considered as a hard partitionning technology (check page 2 of Oracle Server Partitionning Licencing Policies), so if you are buying new servers based on the latest INTEL Xeon E7 CPUs (10 cores per Socket) and have some licencing issues in deploying further Oracle SW, because you are using a hypervisor not recognized as a hard partitionning technology (like VMware), then you need to check here how to do it with OVM . This might help you to continue to deploy your Oracle DB instances on new x86 HW (12 cores, 40 cores, 64 cores servers) in a reasonable way, without having to pay licences for 12 CPU, 40 CPUs or 64 CPUs. You might also consider migrating your legacy Oracle DB DBs to a virtualized environment like OVM/x86 an recover some CPU licences, that can be reused somewhere else in production. Fact 2: OVM/x86 is free to use, without any extra licence for any specific feature (LiveMigration, High Availability, Embedded Management Console). If you want to use it on non Oracle HW, there is a support fee per  system and per year, that is much below VMware support (Oracle VM Premier Limited Support for systems up to 2 CPUs, and Oracle VM Premier Support for any bigger system, independently on the number of populated sockets). Fact 3: support is included with your Oracle x86 HW support (OPS for systems)  and you can re-install on you system Oracle Linux, Oracle Solaris or Oracle VM server for x86, without beeing charged, an keeping the same support level. Fact 4: it is less expensive to virtualize Oracle Linux or Oracle Solaris on OVM/x86 with Oracle HW that any other similar solution with VMware, because all the VMs are then supported and licenced when you buy Oracle HW with OPS. Fact 5: Oracle VM Templates bring you many Virtual Machines already installed, patched and optimized for various Oracle applications. And to be more specific, those templates are fully supported by Oracle, which is not really true when it comes to another hypervisor. By optimized VM Kernel, I mean PV drivers, OVM-ready kernels in the VM, single source clock for all the VMS, better memory management of the VM ... Fact 6: there is no extra costs for a management console. OVM comes with a free OVM Manager package for Linux.  More infos: Latest announcement of OVM/x86 update 2.2.2 A short flash demo of OVM server for x86 A short flash demo on OVM Templates and Virtual Assembly Builder Oracle Linux Support and Oracle VM Support Global Price List  ISVs: Benefits for Independant Sofwtare Vendors (ISVs) in using OVM/x86 Consultant Services: Advanced Customer Services for OVM/x86  Technical Features Best practices and Guideline for OVM with Oracle Blades Reduce TCO and get more Value from your x86 Infrastructure

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  • Oracle’s Sun Server X4-8 with Built-in Elastic Computing

    - by kgee
    We are excited to announce the release of Oracle's new 8-socket server, Sun Server X4-8. It’s the most flexible 8-socket x86 server Oracle has ever designed, and also the most powerful. Not only does it use the fastest Intel® Xeon® E7 v2 processors, but also its memory, I/O and storage subsystems are all designed for maximum performance and throughput. Like its predecessor, the Sun Server X4-8 uses a “glueless” design that allows for maximum performance for Oracle Database, while also reducing power consumption and improving reliability. The specs are pretty impressive. Sun Server X4-8 supports 120 cores (or 240 threads), 6 TB memory, 9.6 TB HDD capacity or 3.2 TB SSD capacity, contains 16 PCIe Gen 3 I/O expansion slots, and allows for up to 6.4 TB Sun Flash Accelerator F80 PCIe Cards. The Sun Server X4-8 is also the most dense x86 server with its 5U chassis, allowing 60% higher rack-level core and DIMM slot density than the competition.  There has been a lot of innovation in Oracle’s x86 product line, but the latest and most significant is a capability called elastic computing. This new capability is built into each Sun Server X4-8.   Elastic computing starts with the Intel processor. While Intel provides a wide range of processors each with a fixed combination of core count, operational frequency, and power consumption, customers have been forced to make tradeoffs when they select a particular processor. They have had to make educated guesses on which particular processor (core count/frequency/cache size) will be best suited for the workload they intend to execute on the server.Oracle and Intel worked jointly to define a new processor, the Intel Xeon E7-8895 v2 for the Sun Server X4-8, that has unique characteristics and effectively combines the capabilities of three different Xeon processors into a single processor. Oracle system design engineers worked closely with Oracle’s operating system development teams to achieve the ability to vary the core count and operating frequency of the Xeon E7-8895 v2 processor with time without the need for a system level reboot.  Along with the new processor, enhancements have been made to the system BIOS, Oracle Solaris, and Oracle Linux, which allow the processors in the system to dynamically clock up to faster speeds as cores are disabled and to reach higher maximum turbo frequencies for the remaining active cores. One customer, a stock market trading company, will take advantage of the elastic computing capability of Sun Server X4-8 by repurposing servers between daytime stock trading activity and nighttime stock portfolio processing, daily, to achieve maximum performance of each workload.To learn more about Sun Server X4-8, you can find more details including the data sheet and white papers here.Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software. He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers.

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