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  • What is the best way to create derived properties

    - by user342788
    I have a datamodel with to-many to-many relations. Using the example of employee database let say the entity division is related to department which in turn is related to employee. The employee has an attribute salary. How best to have a attribute at the level of division which is derived from the salary attribute. For example average salary or maximum salary. I would need those attributes to sort the list of departments.

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  • Flex - Issues retrieving an XMLList

    - by BS_C3
    Hello! I'm having a problem retrieving a XMLList and I don't understand why. I have an application that is running properly. It uses some data from two xml files called division.xml and store.xml. I noticed that I have some data in division.xml that should be in store.xml, so I did a copy/paste of the data from one file to the other. This is the data I copied: <stores> <store> <odeis>101</odeis> <name></name> <password></password> <currency></currency> <currSymbol></currSymbol> </store> <store> <odeis>102</odeis> <name></name> <password></password> <currency></currency> <currSymbol></currSymbol> </store> </stores> In the application, I list all odeis codes and I need to retrieve the block store corresponding to the selected odeis code. Before moving the data into store.xml, this is how I retrieved the block: var node:XMLList = divisionData.division.(@name==HomePageData.instance.divisionName).stores.store.(odeis == HomePageData.instance.storeCodeOdeis) This is how I retrieve it after copying the data into store.xml: var node:XMLList = storeData.stores.(@name==HomePageData.instance.divisionName).store.(odeis == HomePageData.instance.storeCodeOdeis) And I'm currently getting the following error: ReferenceError: Error #1065: The variable odeis is not defined. Could anyone enlighten me? Cause I really have no clue of why it is not working... Thanks for any tips you can give. Regards, BS_C3

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  • facing outsourced wages, can i still eat and survive as a computing science major ?

    - by wefwgeweg
    offshore outsourced programmers charge fraction of what costs a North American developer. should I still pursue my major as computing science ? Why would companies spend more on North American/local developers where they can get the same quality if not better job done offshore ? I am just concerned for the development labor market, the free market wants the lowest cost provider. not just programming but many high skilled labor such as engineering, scientists, artists and etc. perhaps i should become a lawyer ?

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  • Macro to copy data from one sheet to another based on the current date

    - by SgtSnafu
    Does anyone have a macro that copy data from one sheet to another based on the current date? I am working with a single workbook of three sheets. Sheet one will hold the manual input of daily production figures for multiple plants, sheet two is to hold ongoing daily data, keyed on sheet one. The macro will be associated with a button, so that once clicked it would search for every row that has a date of today, and copy that row to the next available blank row on sheet two. Sample Data... Plant 1 Input Date - $ Produced - Labor Hour 3-29-10 - 4538 - 8 3-30-10 - 7862 - 12 3-31-10 4-1-10 4-2-10 Plant 2 Input Date - $ Produced - Labor Hour 3-29-10 - 4545 - 9 3-30-10 - 7645 - 12 3-31-10 4-1-10 4-2-10

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  • Linq 2 SQL using base class and WCF

    - by Gena Verdel
    Hi all. I have the following problem: I'm using L2S for generating entity classes. All these classes share the same property ID which is autonumber. So I figured to put this property to base class and extend all entity classes from the base one. In order to be able to read the value I'm using the override modifier on this property in each and every entity class. Up to now it's live and kicking. Then I decided to introduce another tier - services using WCF approach. I've modified the Serialization mode to Unidirectional (and added the IsReference=true attribute to enable two directions), also added [DataContract] attribute to the BaseObject class. WCF is able to transport the whole object but one property , which is ID. Applying [DataMember] attribute on ID property at the base class resulted in nothing. Am I missing something? Is what I'm trying to achieve possible at all? [DataContract()] abstract public class BaseObject : IIccObject public virtual long ID { get; set; } [Table(Name="dbo.Blocks")] [DataContract(IsReference=true)] public partial class Block : INotifyPropertyChanging, INotifyPropertyChanged { private static PropertyChangingEventArgs emptyChangingEventArgs = new PropertyChangingEventArgs(String.Empty); private long _ID; private int _StatusID; private string _Name; private bool _IsWithControlPoints; private long _DivisionID; private string _SHAPE; private EntitySet<BlockByWorkstation> _BlockByWorkstations; private EntitySet<PlanningPointAppropriation> _PlanningPointAppropriations; private EntitySet<Neighbor> _Neighbors; private EntitySet<Neighbor> _Neighbors1; private EntitySet<Task> _Tasks; private EntitySet<PlanningPointByBlock> _PlanningPointByBlocks; private EntityRef<Division> _Division; private bool serializing; #region Extensibility Method Definitions partial void OnLoaded(); partial void OnValidate(System.Data.Linq.ChangeAction action); partial void OnCreated(); partial void OnIDChanging(long value); partial void OnIDChanged(); partial void OnStatusIDChanging(int value); partial void OnStatusIDChanged(); partial void OnNameChanging(string value); partial void OnNameChanged(); partial void OnIsWithControlPointsChanging(bool value); partial void OnIsWithControlPointsChanged(); partial void OnDivisionIDChanging(long value); partial void OnDivisionIDChanged(); partial void OnSHAPEChanging(string value); partial void OnSHAPEChanged(); #endregion public Block() { this.Initialize(); } [Column(Storage="_ID", AutoSync=AutoSync.OnInsert, DbType="BigInt NOT NULL IDENTITY", IsPrimaryKey=true, IsDbGenerated=true)] [DataMember(Order=1)] public override long ID { get { return this._ID; } set { if ((this._ID != value)) { this.OnIDChanging(value); this.SendPropertyChanging(); this._ID = value; this.SendPropertyChanged("ID"); this.OnIDChanged(); } } } [Column(Storage="_StatusID", DbType="Int NOT NULL")] [DataMember(Order=2)] public int StatusID { get { return this._StatusID; } set { if ((this._StatusID != value)) { this.OnStatusIDChanging(value); this.SendPropertyChanging(); this._StatusID = value; this.SendPropertyChanged("StatusID"); this.OnStatusIDChanged(); } } } [Column(Storage="_Name", DbType="NVarChar(255)")] [DataMember(Order=3)] public string Name { get { return this._Name; } set { if ((this._Name != value)) { this.OnNameChanging(value); this.SendPropertyChanging(); this._Name = value; this.SendPropertyChanged("Name"); this.OnNameChanged(); } } } [Column(Storage="_IsWithControlPoints", DbType="Bit NOT NULL")] [DataMember(Order=4)] public bool IsWithControlPoints { get { return this._IsWithControlPoints; } set { if ((this._IsWithControlPoints != value)) { this.OnIsWithControlPointsChanging(value); this.SendPropertyChanging(); this._IsWithControlPoints = value; this.SendPropertyChanged("IsWithControlPoints"); this.OnIsWithControlPointsChanged(); } } } [Column(Storage="_DivisionID", DbType="BigInt NOT NULL")] [DataMember(Order=5)] public long DivisionID { get { return this._DivisionID; } set { if ((this._DivisionID != value)) { if (this._Division.HasLoadedOrAssignedValue) { throw new System.Data.Linq.ForeignKeyReferenceAlreadyHasValueException(); } this.OnDivisionIDChanging(value); this.SendPropertyChanging(); this._DivisionID = value; this.SendPropertyChanged("DivisionID"); this.OnDivisionIDChanged(); } } } [Column(Storage="_SHAPE", DbType="Text", UpdateCheck=UpdateCheck.Never)] [DataMember(Order=6)] public string SHAPE { get { return this._SHAPE; } set { if ((this._SHAPE != value)) { this.OnSHAPEChanging(value); this.SendPropertyChanging(); this._SHAPE = value; this.SendPropertyChanged("SHAPE"); this.OnSHAPEChanged(); } } } [Association(Name="Block_BlockByWorkstation", Storage="_BlockByWorkstations", ThisKey="ID", OtherKey="BlockID")] [DataMember(Order=7, EmitDefaultValue=false)] public EntitySet<BlockByWorkstation> BlockByWorkstations { get { if ((this.serializing && (this._BlockByWorkstations.HasLoadedOrAssignedValues == false))) { return null; } return this._BlockByWorkstations; } set { this._BlockByWorkstations.Assign(value); } } [Association(Name="Block_PlanningPointAppropriation", Storage="_PlanningPointAppropriations", ThisKey="ID", OtherKey="MasterBlockID")] [DataMember(Order=8, EmitDefaultValue=false)] public EntitySet<PlanningPointAppropriation> PlanningPointAppropriations { get { if ((this.serializing && (this._PlanningPointAppropriations.HasLoadedOrAssignedValues == false))) { return null; } return this._PlanningPointAppropriations; } set { this._PlanningPointAppropriations.Assign(value); } } [Association(Name="Block_Neighbor", Storage="_Neighbors", ThisKey="ID", OtherKey="FirstBlockID")] [DataMember(Order=9, EmitDefaultValue=false)] public EntitySet<Neighbor> Neighbors { get { if ((this.serializing && (this._Neighbors.HasLoadedOrAssignedValues == false))) { return null; } return this._Neighbors; } set { this._Neighbors.Assign(value); } } [Association(Name="Block_Neighbor1", Storage="_Neighbors1", ThisKey="ID", OtherKey="SecondBlockID")] [DataMember(Order=10, EmitDefaultValue=false)] public EntitySet<Neighbor> Neighbors1 { get { if ((this.serializing && (this._Neighbors1.HasLoadedOrAssignedValues == false))) { return null; } return this._Neighbors1; } set { this._Neighbors1.Assign(value); } } [Association(Name="Block_Task", Storage="_Tasks", ThisKey="ID", OtherKey="BlockID")] [DataMember(Order=11, EmitDefaultValue=false)] public EntitySet<Task> Tasks { get { if ((this.serializing && (this._Tasks.HasLoadedOrAssignedValues == false))) { return null; } return this._Tasks; } set { this._Tasks.Assign(value); } } [Association(Name="Block_PlanningPointByBlock", Storage="_PlanningPointByBlocks", ThisKey="ID", OtherKey="BlockID")] [DataMember(Order=12, EmitDefaultValue=false)] public EntitySet<PlanningPointByBlock> PlanningPointByBlocks { get { if ((this.serializing && (this._PlanningPointByBlocks.HasLoadedOrAssignedValues == false))) { return null; } return this._PlanningPointByBlocks; } set { this._PlanningPointByBlocks.Assign(value); } } [Association(Name="Division_Block", Storage="_Division", ThisKey="DivisionID", OtherKey="ID", IsForeignKey=true, DeleteOnNull=true, DeleteRule="CASCADE")] public Division Division { get { return this._Division.Entity; } set { Division previousValue = this._Division.Entity; if (((previousValue != value) || (this._Division.HasLoadedOrAssignedValue == false))) { this.SendPropertyChanging(); if ((previousValue != null)) { this._Division.Entity = null; previousValue.Blocks.Remove(this); } this._Division.Entity = value; if ((value != null)) { value.Blocks.Add(this); this._DivisionID = value.ID; } else { this._DivisionID = default(long); } this.SendPropertyChanged("Division"); } } } public event PropertyChangingEventHandler PropertyChanging; public event PropertyChangedEventHandler PropertyChanged; protected virtual void SendPropertyChanging() { if ((this.PropertyChanging != null)) { this.PropertyChanging(this, emptyChangingEventArgs); } } protected virtual void SendPropertyChanged(String propertyName) { if ((this.PropertyChanged != null)) { this.PropertyChanged(this, new PropertyChangedEventArgs(propertyName)); } } private void attach_BlockByWorkstations(BlockByWorkstation entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_BlockByWorkstations(BlockByWorkstation entity) { this.SendPropertyChanging(); entity.Block = null; } private void attach_PlanningPointAppropriations(PlanningPointAppropriation entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_PlanningPointAppropriations(PlanningPointAppropriation entity) { this.SendPropertyChanging(); entity.Block = null; } private void attach_Neighbors(Neighbor entity) { this.SendPropertyChanging(); entity.FirstBlock = this; } private void detach_Neighbors(Neighbor entity) { this.SendPropertyChanging(); entity.FirstBlock = null; } private void attach_Neighbors1(Neighbor entity) { this.SendPropertyChanging(); entity.SecondBlock = this; } private void detach_Neighbors1(Neighbor entity) { this.SendPropertyChanging(); entity.SecondBlock = null; } private void attach_Tasks(Task entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_Tasks(Task entity) { this.SendPropertyChanging(); entity.Block = null; } private void attach_PlanningPointByBlocks(PlanningPointByBlock entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_PlanningPointByBlocks(PlanningPointByBlock entity) { this.SendPropertyChanging(); entity.Block = null; } private void Initialize() { this._BlockByWorkstations = new EntitySet<BlockByWorkstation>(new Action<BlockByWorkstation>(this.attach_BlockByWorkstations), new Action<BlockByWorkstation>(this.detach_BlockByWorkstations)); this._PlanningPointAppropriations = new EntitySet<PlanningPointAppropriation>(new Action<PlanningPointAppropriation>(this.attach_PlanningPointAppropriations), new Action<PlanningPointAppropriation>(this.detach_PlanningPointAppropriations)); this._Neighbors = new EntitySet<Neighbor>(new Action<Neighbor>(this.attach_Neighbors), new Action<Neighbor>(this.detach_Neighbors)); this._Neighbors1 = new EntitySet<Neighbor>(new Action<Neighbor>(this.attach_Neighbors1), new Action<Neighbor>(this.detach_Neighbors1)); this._Tasks = new EntitySet<Task>(new Action<Task>(this.attach_Tasks), new Action<Task>(this.detach_Tasks)); this._PlanningPointByBlocks = new EntitySet<PlanningPointByBlock>(new Action<PlanningPointByBlock>(this.attach_PlanningPointByBlocks), new Action<PlanningPointByBlock>(this.detach_PlanningPointByBlocks)); this._Division = default(EntityRef<Division>); OnCreated(); } [OnDeserializing()] [System.ComponentModel.EditorBrowsableAttribute(EditorBrowsableState.Never)] public void OnDeserializing(StreamingContext context) { this.Initialize(); } [OnSerializing()] [System.ComponentModel.EditorBrowsableAttribute(EditorBrowsableState.Never)] public void OnSerializing(StreamingContext context) { this.serializing = true; } [OnSerialized()] [System.ComponentModel.EditorBrowsableAttribute(EditorBrowsableState.Never)] public void OnSerialized(StreamingContext context) { this.serializing = false; } }

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  • Centering Divisions Around Zero

    - by Mark
    I'm trying to create something that sort of resembles a histogram. I'm trying to create buckets from an array. Suppose I have a random array doubles between -10 and 10; this is very simplified. I then want to specify a center point, in this case 0 and the number of buckets. If I want 4 buckets the division would be -10 to -5, -5 to 0, 0 to 5 and 5 to 10. Not that complicated right. Now if I change the min and max to -12 and -9 and as for 4 divisions its more complicated. I either want a division at -3 and 3; it is centered around 0 ; or one at -6 to 0 and 0 to 6. Its not that hard to find the division size = Math.Ceiling((Abs(Max) + Abs(Min)) / Divisions) Then you would basically have an if statement to determine whether you want it centered on 0 or on an edge. You then iterate out from either 0 or DivisionSize/2 depending on the situation. You may not ALWAYS end up with the specified number of divisions but it will be close. Then you iterate through the array and increment the bin count. Does this seem like a good way to go about this? This method would surely work but it does not seem to be the most elegant. I'm curious as to whether the creation of the bins and the counting from the list could be done in a clever class with linq in a more elegant way? Something like creating the bins and then having each bin be a property {get;} that returns list.Count(x=> x >= Lower && x < Upper).

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  • What is the actual difference between Computer Programmers and Software Engineers? Is this description accurate?

    - by Ari
    According to the Bureau of Labor Statistics, this is the difference: Computer programmers write programs. After computer software engineers and systems analysts design software programs, the programmer converts that design into a logical series of instructions that the computer can follow They predict employment to increase for software engineers by 34% but to decline for programmers. Is there actually any such real distinction between the 2 jobs? How can one get a job designing programs (to be implemented by others)?

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  • Python — Time complexity of built-in functions versus manually-built functions in finite fields

    - by stackuser
    Generally, I'm wondering about the advantages versus disadvantages of using the built-in arithmetic functions versus rolling your own in Python. Specifically, I'm taking in GF(2) finite field polynomials in string format, converting to base 2 values, performing arithmetic, then output back into polynomials as string format. So a small example of this is in multiplication: Rolling my own: def multiply(a,b): bitsa = reversed("{0:b}".format(a)) g = [(b<<i)*int(bit) for i,bit in enumerate(bitsa)] return reduce(lambda x,y: x+y,g) Versus the built-in: def multiply(a,b): # a,b are GF(2) polynomials in binary form .... return a*b #returns product of 2 polynomials in gf2 Currently, operations like multiplicative inverse (with for example 20 bit exponents) take a long time to run in my program as it's using all of Python's built-in mathematical operations like // floor division and % modulus, etc. as opposed to making my own division, remainder, etc. I'm wondering how much of a gain in efficiency and performance I can get by building these manually (as shown above). I realize the gains are dependent on how well the manual versions are built, that's not the question. I'd like to find out 'basically' how much advantage there is over the built-in's. So for instance, if multiplication (as in the example above) is well-suited for base 10 (decimal) arithmetic but has to jump through more hoops to change bases to binary and then even more hoops in operating (so it's lower efficiency), that's what I'm wondering. Like, I'm wondering if it's possible to bring the time down significantly by building them myself in ways that maybe some professionals here have already come across.

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  • When Less is More

    - by aditya.agarkar
    How do you reconcile the fact that while the overall warehouse volume is down you still need more workers in the warehouse to ship all the orders? A WMS customer recently pointed out this seemingly perplexing fact in a customer conference. So what is going on? Didn't we tell you before that for a warehouse the customer is really the "king"? In this case customers are merely responding to a low overall low demand and uncertainty. They do not want to hold down inventory and one of the ways to do that is by decreasing the order size and ordering more frequently. Overall impact to the warehouse? Two words: "More work!!" This is not all. Smaller order sizes also mean challenges from a transportation perspective including a rise in costlier parcel or LTL shipments instead of cheaper TL shipments. Here is a hypothetical scenario where a customer reduces the order size by 10% and increases the order frequency by 10%. As you can see in the following table, the overall volume declines by 1% but the warehouse has to ship roughly 10% more lines. Order Frequency (Line Count)Order Size (Units)Total VolumeChange (%)10010010,000 -110909,900-1% If you want to see how "Less is More" in graphical terms, this is how it appears: Even though the volume is down, there is going to be more work in the warehouse in terms of number of lines shipped. The operators need to pick more discrete orders, pack them into more shipping containers and ship more deliveries. What do you do differently if you are facing this situation?In this case here are some obvious steps to take:Uno: Change your pick methods. If you are used to doing order picks, it needs to go out the door. You need to evaluate batch picking and grouping techniques. Go for cluster picking, go for zone picking, pick and pass...anything that improves your picker productivity. More than anything, cluster picking works like a charm and above all, its simple and very effective. Dos: Are you minimize "touch" points in your pick process? Consider doing one step pick, pack and confirm i.e. pick and pack stuff directly into shipping cartons. Done correctly the container will not require any more "touch" points all the way to the trailer loading. Use cartonization!Tres: Are the being picked from an optimized pick face? Are the items slotted correctly? This needs to be looked into. Consider automated "pull" or "push" replenishment into your pick face and also make sure that high demand items are occupying the golden zones.  Cuatro: Are you tracking labor productivity? If not there needs to be a concerted push for having labor standards in place. Hope you found these ideas useful.

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  • Inside Red Gate - Introduction

    - by Simon Cooper
    I work for Red Gate Software, a software company based in Cambridge, UK. In this series of posts, I'll be discussing how we develop software at Red Gate, and what we get up to, all from a dev's perspective. Before I start the series proper, in this post I'll give you a brief background to what I have done and continue to do as part of my job. The initial few posts will be giving an overview of how the development sections of the company work. There is much more to a software company than writing the products, but as I'm a developer my experience is biased towards that, and so that is what this series will concentrate on. My background Red Gate was founded in 1999 by Neil Davidson & Simon Galbraith, who continue to be joint CEOs. I joined in September 2007, and immediately set to work writing a new Check for Updates client and server (CfU), as part of a team of 2. That was finished at the end of 2007. I then joined the SQL Compare team. The first large project I worked on was updating SQL Compare for SQL Server 2008, resulting in SQL Compare 7, followed by a UI redesign in SQL Compare 8. By the end of this project in early 2009 I had become the 'go-to' guy for the SQL Compare Engine (I'll explain what that means in a later post), which is used by most of the other tools in the SQL Tools division in one way or another. After that, we decided to expand into Oracle, and I wrote the prototype for what became the engine of Schema Compare for Oracle (SCO). In the latter half of 2009 a full project was started, resulting in the release of SCO v1 in early 2010. Near the end of 2010 I moved to the .NET division, where I joined the team working on SmartAssembly. That's what I continue to work on today. The posts in this series will cover my experience in software development at Red Gate, within the SQL Tools and .NET divisions. Hopefully, you'll find this series an interesting look at what exactly goes into producing the software at Red Gate.

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  • Bill Gates et Mark Zuckerberg vont enseigner la programmation à travers l'initiative Code.org

    Bill Gates et Zuckerberg rejoignent la campagne Hour of code une initiative de code.org destinée à apprendre la programmation aux plus jeunesLa moisson est abondante pour le vaste marché de l'emploi aux États-Unis, mais les ouvriers sont peu nombreux. Le « Bureau of Labor Statistics » américain estime que les années à venir devraient donner naissance à près de 122 000 opportunités d'emploi en relation avec l'informatique. La condition requise pour postuler à ces offres sera d'avoir au minimum...

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  • Oracle University Nuovi corsi (Week 14)

    - by swalker
    Oracle University ha recentemente rilasciato i seguenti nuovi corsi in inglese: Database Oracle Data Modeling and Relational Database Design (4 days) Fusion Middleware Oracle Directory Services 11g: Administration (5 days) Oracle Unified Directory 11g: Services Deployment Essentials (2 days) Oracle GoldenGate 11g Management Pack: Overview (1 day) Business Intelligence & Datawarehousing Oracle Database 11g: Data Mining Techniques (2 days) Oracle Solaris Oracle Solaris 10 System Administration for HP-UX Administrators (5 days) E-Business Suite R12.x Oracle Time and Labor Fundamentals Per ulteriori informazioni e per conoscere le date dei corsi, contattate il vostro Oracle University team locale. Rimanete in contatto con Oracle University: LinkedIn OracleMix Twitter Facebook Google+

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  • Oracle University Nouveaux cours (Week 14)

    - by swalker
    Parmi les nouveautés d’Oracle Université de ce mois-ci, vous trouverez : Database Oracle Data Modeling and Relational Database Design (4 days) Fusion Middleware Oracle Directory Services 11g: Administration (5 days) Oracle Unified Directory 11g: Services Deployment Essentials (2 days) Oracle GoldenGate 11g Management Pack: Overview (1 day) Business Intelligence & Datawarehousing Oracle Database 11g: Data Mining Techniques (2 days) Oracle Solaris Oracle Solaris 10 System Administration for HP-UX Administrators (5 days) E-Business Suite R12.x Oracle Time and Labor Fundamentals Contacter l’ équipe locale d’ Oracle University pour toute information et dates de cours. Restez connecté à Oracle University : LinkedIn OracleMix Twitter Facebook Google+

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  • Get to Know a Candidate (2 of 25): Merlin Miller&ndash;American Third Position Party

    - by Brian Lanham
    DISCLAIMER: This is not a post about “Romney” or “Obama”. This is not a post for whom I am voting. Information sourced for Wikipedia. Meet Merlin Miller of American Third Position Party In addition to being American Third Position Party nominee, Miller is an independent film maker.  He is a graduate of West Point and has commanded two units in the United States Army.  After military service he worked as an industrial engineering manager for Michelin Tire.  He learned about film making by earning an MFA from the University of Southern California. Mr. Miller is on the ballot in: CO, NJ, and TN. In the 2000’s, Miller began taking an increasingly paleoconservative political stance.  He claimed that Hollywood “ surreptitiously seeks to destroy our European-American heritage and our Christian-based traditional values, and replace them with values that debase these traditional values and elevate minorities as paragons of virtue and wisdom....Today’s motion pictures, in concert with other forms of mass media entertainment, are the greatest enemies to the well-being of our progeny and the future of our country.” Miller states that he "doesn't like" interracial marriage; however, he does not support outlawing interracial marriage, either.  Miller has denied being anti-Semitic, instead claiming that he merely opposes "favoritism" granted to Jews in the film industry.  He also opposes illegal immigration and what he refers to as "wide open borders" in the United States. The American Third Position Party (A3P) is a third positionist American political party which promotes white supremacy.  It was officially launched in January 2010 (although in November 2009 it filed papers to get on a ballot in California) partially to channel the right-wing populist resentment engendered by the financial crisis of 2007–2010 and the policies of the Obama administration and defines its principal mission as representing the political interests of white Americans. The party takes a strong stand against immigration and globalization, and strongly supports an anti-interventionist foreign policy. Although the party does not support labor unions, they do strongly support the labor rights of the American working class on a platform of placing American workers first over illegal immigrant workers and banning of overseas corporate relocation of American industry and technology Third Position or Third Alternative refers to a revolutionary nationalist political position that emphasizes its opposition to both communism and capitalism. Advocates of Third Position politics typically present themselves as "beyond left and right", instead claiming to syncretize radical ideas from both ends of the political spectrum Learn more about Merlin Miller and American Third Position Party on Wikipedia.

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  • Oracle University Nuevos cursos (Week 14)

    - by swalker
    Oracle University ha publicado recientemenete las siguentes formaciones (o versiones) nuevos: Database Oracle Data Modeling and Relational Database Design (4 days) Fusion Middleware Oracle Directory Services 11g: Administration (5 days) Oracle Unified Directory 11g: Services Deployment Essentials (2 days) Oracle GoldenGate 11g Management Pack: Overview (1 day) Business Intelligence & Datawarehousing Oracle Database 11g: Data Mining Techniques (2 days) Oracle Solaris Oracle Solaris 10 System Administration for HP-UX Administrators (5 days) E-Business Suite R12.x Oracle Time and Labor Fundamentals Póngase en contacto con el equipo local de Oracle University para conocer las fechas y otros detalles de los cursos. Manténgase conectado a Oracle University: LinkedIn OracleMix Twitter Facebook Google+

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  • Walmart's Mobile Self-Checkout

    - by David Dorf
    Reuters recently reported that Walmart was testing an iPhone-based self-checkout at a store near its headquarters.  Consumers scan items as they're placed in the physical basket, then the virtual basket is transferred to an existing self-checkout station where payment is tendered.  A very solid solution, but not exactly original. Before we go further, let's look at the possible cost savings for Walmart.  According to the article: Pushing more shoppers to scan their own items and make payments without the help of a cashier could save Wal-Mart millions of dollars, Chief Financial Officer Charles Holley said on March 7. The company spends about $12 million in cashier wages every second at its Walmart U.S. stores. Um, yeah. Using back-of-the-napkin math, I calculated Walmart's cashiers are making $157k per hour.  A more accurate statement would be saving $12M per year for each second saved on the average transaction time.  So if this self-checkout approach saves 2 seconds per transaction on average, Walmart would save $24M per year on labor.  Maybe.  Sometimes that savings will be used to do other tasks in the store, so it may not directly translate to less employees. When I saw this approach demonstrated in Sweden, there were a few differences, which may or may not be in Walmart's plans.  First, the consumers were identified based on their loyalty card.  In order to offset the inevitable shrink, retailers need to save on labor but also increase basket size, typically via in-aisle promotions.  As they scan items, retailers should target promos, and that's easier to do if you know some shopping history.  Last I checked, Walmart had no loyalty program. Second, at the self-checkout station consumers were randomly selected for an audit in which they must re-scan all the items just like you do at a typical self-checkout.  If you were found to be stealing, your ability to use the system can be revoked.  That's a tough one in the US, especially when the system goes wrong, either by mistake or by lying.  At least in my view, the Swedes are bit more trustworthy than the people of Walmart. So while I think the idea of mobile self-checkout has merit, perhaps its not right for Walmart.

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  • Oracle University New Courses (Week 14)

    - by swalker
    Oracle University released the following new (versions of) courses recently: Database Oracle Data Modeling and Relational Database Design (4 days) Fusion Middleware Oracle Directory Services 11g: Administration (5 days) Oracle Unified Directory 11g: Services Deployment Essentials (2 days) Oracle GoldenGate 11g Management Pack: Overview (1 day) Business Intelligence & Datawarehousing Oracle Database 11g: Data Mining Techniques (2 days) Oracle Solaris Oracle Solaris 10 System Administration for HP-UX Administrators (5 days) E-Business Suite R12.x Oracle Time and Labor Fundamentals Get in contact with your local Oracle University team for more details and course dates. Stay Connected to Oracle University: LinkedIn OracleMix Twitter Facebook Google+

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  • Which opcodes are faster at the CPU level?

    - by Geotarget
    In every programming language there are sets of opcodes that are recommended over others. I've tried to list them here, in order of speed. Bitwise Integer Addition / Subtraction Integer Multiplication / Division Comparison Control flow Float Addition / Subtraction Float Multiplication / Division Where you need high-performance code, C++ can be hand optimized in assembly, to use SIMD instructions or more efficient control flow, data types, etc. So I'm trying to understand if the data type (int32 / float32 / float64) or the operation used (*, +, &) affects performance at the CPU level. Is a single multiply slower on the CPU than an addition? In MCU theory you learn that speed of opcodes is determined by the number of CPU cycles it takes to execute. So does it mean that multiply takes 4 cycles and add takes 2? Exactly what are the speed characteristics of the basic math and control flow opcodes? If two opcodes take the same number of cycles to execute, then both can be used interchangeably without any performance gain / loss? Any other technical details you can share regarding x86 CPU performance is appreciated

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  • What are some good seminar topics that can be used to improve designer&developer communication?

    - by tactoth
    Hello guys the thing I'll tell is what happens in the company I work for but I know it's more like a common issue in software companies. I'm development team leader in a internet service company that provides service that's very similar to dropbox. In our company we have mainly two divisions: the tech division and the designers division, both have their own reporting hierarchy. Designers focus on designing UI and prioritizing features, while developers focus on implement designers' ideas (more like being driven as our big boss has said). Then here comes our issue: the DEV team and DES team communicate very bad. DEV complain DES for these reasons: Too frequent changing of requirements Too complicated interaction (our DEV team has actually learned many HCI principles) Documents for design are incomplete, usually you just get 'design principles' and it's up to DEV to complete design details. When you find design defects, you ask DES team to resolve them, then DES team quickly change the principles and you gonna spend another several weeks because the change is so fundamental. While DES complain DEV for these reasons: Code architecture is not good enough to adapt to changing requirements (Obviously DES knows something about software development) Product design is about principles, not details. DEV fails to realize this. Communication should be quick and should be mainly oral. Trying to make most feature discussion in document for reference is too overloaded and doesn't make sense. As you can see, DEV and DES have different ideas on product design, and encourages very different practice. We have this difference because of the way we work. So our solution is that we should plan some seminars to make each part more aware of the way the other part work. Then my question is, what are some good topics for such seminars? Guessing some people may not think seminars can solve this problem, please also suggest your solution.

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  • Cheap ways to do scaling ops in shader?

    - by Nick Wiggill
    I've got an extensive world terrain that uses vec3 for the vertex position attribute. That's good, because the terrain has endless gradations due to the use of floating point. But I'm thinking about how to reduce the amount of data uploaded to the GPU. For my terrain, which uses discrete / grid-based vertex positions in x and z, it's pretty clear that I can replace my vec3s (floats, really) with shorts, halving the per-vertex position attribute cost from 12 bytes each to 6 bytes. Considering I've got little enough other vertex data, and an enormous amount of terrain data to push into the world, it's a major gain. Currently in my code, one unit in GLSL shaders is equal to 1m in the world. I like that scale. If I move over to using shorts, though, I won't be able to use the same scale, as I would then have a very blocky world where every step in height is an entire metre. So I see these potential solutions to scale the positional data correctly once it arrives at the vertex shader stage: Use 10:1 scaling, i.e. 1 short unit = 1 decimetre in CPU-side code. Do a division by 10 in the vertex shader to scale incoming decimetre values back to metres. Arbirary (non-PoT) divisions tend to be slow, however. Use (some-power-of-two):1 scaling (eg. 8:1), which enables the use of a bitshift (eg. val >> 3) to do the division... not sure how performant this is in shaders, though. Not as intuitive to read values, but possibly quite a bit faster than div by a non-PoT value. Use a texture as lookup table. I've heard that this is really fast. Or whatever solutions others can offer to achieve the same results -- minimal vertex data with sensible scaling.

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  • Search Engine Top Placement

    Many newcomers to the world of online businesses labor under the misconception that a beautifully designed webpage is all it takes to get top rankings with the search engines. Nothing can be further from the truth. Designing your website is only the first step toward achieving search engine top placement for your business. The process known as Search Engine Optimization or SEO must be used. Properly implemented, a well executed SEO strategy will begin to raise your website from the depths of the rankings to the first page.

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  • WCF Bidirectional serialization fails

    - by Gena Verdel
    I'm trying to take advantage of Bidirectional serialization of some relational Linq-2-Sql generated entity classes. When using Unidirectional option everything works just fine, bu the moment I add IsReferenceType=true, objects fail to get transported over the tcp binding. Sample code: Entity class: [Table(Name="dbo.Blocks")] [DataContract()] public partial class Block : INotifyPropertyChanging, INotifyPropertyChanged { private static PropertyChangingEventArgs emptyChangingEventArgs = new PropertyChangingEventArgs(String.Empty); private long _ID; private int _StatusID; private string _Name; private bool _IsWithControlPoints; private long _DivisionID; private string _SHAPE; private EntitySet<BlockByWorkstation> _BlockByWorkstations; private EntitySet<PlanningPointAppropriation> _PlanningPointAppropriations; private EntitySet<Neighbor> _Neighbors; private EntitySet<Neighbor> _Neighbors1; private EntitySet<Task> _Tasks; private EntitySet<PlanningPointByBlock> _PlanningPointByBlocks; private EntitySet<ControlPointByBlock> _ControlPointByBlocks; private EntityRef<Division> _Division; private bool serializing; #region Extensibility Method Definitions partial void OnLoaded(); partial void OnValidate(System.Data.Linq.ChangeAction action); partial void OnCreated(); partial void OnIDChanging(long value); partial void OnIDChanged(); partial void OnStatusIDChanging(int value); partial void OnStatusIDChanged(); partial void OnNameChanging(string value); partial void OnNameChanged(); partial void OnIsWithControlPointsChanging(bool value); partial void OnIsWithControlPointsChanged(); partial void OnDivisionIDChanging(long value); partial void OnDivisionIDChanged(); partial void OnSHAPEChanging(string value); partial void OnSHAPEChanged(); #endregion public Block() { this.Initialize(); } [Column(Storage="_ID", AutoSync=AutoSync.OnInsert, DbType="BigInt NOT NULL IDENTITY", IsPrimaryKey=true, IsDbGenerated=true)] [DataMember(Order=1)] public override long ID { get { return this._ID; } set { if ((this._ID != value)) { this.OnIDChanging(value); this.SendPropertyChanging(); this._ID = value; this.SendPropertyChanged("ID"); this.OnIDChanged(); } } } [Column(Storage="_StatusID", DbType="Int NOT NULL")] [DataMember(Order=2)] public int StatusID { get { return this._StatusID; } set { if ((this._StatusID != value)) { this.OnStatusIDChanging(value); this.SendPropertyChanging(); this._StatusID = value; this.SendPropertyChanged("StatusID"); this.OnStatusIDChanged(); } } } [Column(Storage="_Name", DbType="NVarChar(255)")] [DataMember(Order=3)] public string Name { get { return this._Name; } set { if ((this._Name != value)) { this.OnNameChanging(value); this.SendPropertyChanging(); this._Name = value; this.SendPropertyChanged("Name"); this.OnNameChanged(); } } } [Column(Storage="_IsWithControlPoints", DbType="Bit NOT NULL")] [DataMember(Order=4)] public bool IsWithControlPoints { get { return this._IsWithControlPoints; } set { if ((this._IsWithControlPoints != value)) { this.OnIsWithControlPointsChanging(value); this.SendPropertyChanging(); this._IsWithControlPoints = value; this.SendPropertyChanged("IsWithControlPoints"); this.OnIsWithControlPointsChanged(); } } } [Column(Storage="_DivisionID", DbType="BigInt NOT NULL")] [DataMember(Order=5)] public long DivisionID { get { return this._DivisionID; } set { if ((this._DivisionID != value)) { if (this._Division.HasLoadedOrAssignedValue) { throw new System.Data.Linq.ForeignKeyReferenceAlreadyHasValueException(); } this.OnDivisionIDChanging(value); this.SendPropertyChanging(); this._DivisionID = value; this.SendPropertyChanged("DivisionID"); this.OnDivisionIDChanged(); } } } [Column(Storage="_SHAPE", DbType="Text", UpdateCheck=UpdateCheck.Never)] [DataMember(Order=6)] public string SHAPE { get { return this._SHAPE; } set { if ((this._SHAPE != value)) { this.OnSHAPEChanging(value); this.SendPropertyChanging(); this._SHAPE = value; this.SendPropertyChanged("SHAPE"); this.OnSHAPEChanged(); } } } [Association(Name="Block_BlockByWorkstation", Storage="_BlockByWorkstations", ThisKey="ID", OtherKey="BlockID")] [DataMember(Order=7, EmitDefaultValue=false)] public EntitySet<BlockByWorkstation> BlockByWorkstations { get { if ((this.serializing && (this._BlockByWorkstations.HasLoadedOrAssignedValues == false))) { return null; } return this._BlockByWorkstations; } set { this._BlockByWorkstations.Assign(value); } } [Association(Name="Block_PlanningPointAppropriation", Storage="_PlanningPointAppropriations", ThisKey="ID", OtherKey="MasterBlockID")] [DataMember(Order=8, EmitDefaultValue=false)] public EntitySet<PlanningPointAppropriation> PlanningPointAppropriations { get { if ((this.serializing && (this._PlanningPointAppropriations.HasLoadedOrAssignedValues == false))) { return null; } return this._PlanningPointAppropriations; } set { this._PlanningPointAppropriations.Assign(value); } } [Association(Name="Block_Neighbor", Storage="_Neighbors", ThisKey="ID", OtherKey="FirstBlockID")] [DataMember(Order=9, EmitDefaultValue=false)] public EntitySet<Neighbor> Neighbors { get { if ((this.serializing && (this._Neighbors.HasLoadedOrAssignedValues == false))) { return null; } return this._Neighbors; } set { this._Neighbors.Assign(value); } } [Association(Name="Block_Neighbor1", Storage="_Neighbors1", ThisKey="ID", OtherKey="SecondBlockID")] [DataMember(Order=10, EmitDefaultValue=false)] public EntitySet<Neighbor> Neighbors1 { get { if ((this.serializing && (this._Neighbors1.HasLoadedOrAssignedValues == false))) { return null; } return this._Neighbors1; } set { this._Neighbors1.Assign(value); } } [Association(Name="Block_Task", Storage="_Tasks", ThisKey="ID", OtherKey="BlockID")] [DataMember(Order=11, EmitDefaultValue=false)] public EntitySet<Task> Tasks { get { if ((this.serializing && (this._Tasks.HasLoadedOrAssignedValues == false))) { return null; } return this._Tasks; } set { this._Tasks.Assign(value); } } [Association(Name="Block_PlanningPointByBlock", Storage="_PlanningPointByBlocks", ThisKey="ID", OtherKey="BlockID")] [DataMember(Order=12, EmitDefaultValue=false)] public EntitySet<PlanningPointByBlock> PlanningPointByBlocks { get { if ((this.serializing && (this._PlanningPointByBlocks.HasLoadedOrAssignedValues == false))) { return null; } return this._PlanningPointByBlocks; } set { this._PlanningPointByBlocks.Assign(value); } } [Association(Name="Block_ControlPointByBlock", Storage="_ControlPointByBlocks", ThisKey="ID", OtherKey="BlockID")] [DataMember(Order=13, EmitDefaultValue=false)] public EntitySet<ControlPointByBlock> ControlPointByBlocks { get { if ((this.serializing && (this._ControlPointByBlocks.HasLoadedOrAssignedValues == false))) { return null; } return this._ControlPointByBlocks; } set { this._ControlPointByBlocks.Assign(value); } } [Association(Name="Division_Block", Storage="_Division", ThisKey="DivisionID", OtherKey="ID", IsForeignKey=true, DeleteOnNull=true, DeleteRule="CASCADE")] public Division Division { get { return this._Division.Entity; } set { Division previousValue = this._Division.Entity; if (((previousValue != value) || (this._Division.HasLoadedOrAssignedValue == false))) { this.SendPropertyChanging(); if ((previousValue != null)) { this._Division.Entity = null; previousValue.Blocks.Remove(this); } this._Division.Entity = value; if ((value != null)) { value.Blocks.Add(this); this._DivisionID = value.ID; } else { this._DivisionID = default(long); } this.SendPropertyChanged("Division"); } } } public event PropertyChangingEventHandler PropertyChanging; public event PropertyChangedEventHandler PropertyChanged; protected virtual void SendPropertyChanging() { if ((this.PropertyChanging != null)) { this.PropertyChanging(this, emptyChangingEventArgs); } } protected virtual void SendPropertyChanged(String propertyName) { if ((this.PropertyChanged != null)) { this.PropertyChanged(this, new PropertyChangedEventArgs(propertyName)); } } private void attach_BlockByWorkstations(BlockByWorkstation entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_BlockByWorkstations(BlockByWorkstation entity) { this.SendPropertyChanging(); entity.Block = null; } private void attach_PlanningPointAppropriations(PlanningPointAppropriation entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_PlanningPointAppropriations(PlanningPointAppropriation entity) { this.SendPropertyChanging(); entity.Block = null; } private void attach_Neighbors(Neighbor entity) { this.SendPropertyChanging(); entity.FirstBlock = this; } private void detach_Neighbors(Neighbor entity) { this.SendPropertyChanging(); entity.FirstBlock = null; } private void attach_Neighbors1(Neighbor entity) { this.SendPropertyChanging(); entity.SecondBlock = this; } private void detach_Neighbors1(Neighbor entity) { this.SendPropertyChanging(); entity.SecondBlock = null; } private void attach_Tasks(Task entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_Tasks(Task entity) { this.SendPropertyChanging(); entity.Block = null; } private void attach_PlanningPointByBlocks(PlanningPointByBlock entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_PlanningPointByBlocks(PlanningPointByBlock entity) { this.SendPropertyChanging(); entity.Block = null; } private void attach_ControlPointByBlocks(ControlPointByBlock entity) { this.SendPropertyChanging(); entity.Block = this; } private void detach_ControlPointByBlocks(ControlPointByBlock entity) { this.SendPropertyChanging(); entity.Block = null; } private void Initialize() { this._BlockByWorkstations = new EntitySet<BlockByWorkstation>(new Action<BlockByWorkstation>(this.attach_BlockByWorkstations), new Action<BlockByWorkstation>(this.detach_BlockByWorkstations)); this._PlanningPointAppropriations = new EntitySet<PlanningPointAppropriation>(new Action<PlanningPointAppropriation>(this.attach_PlanningPointAppropriations), new Action<PlanningPointAppropriation>(this.detach_PlanningPointAppropriations)); this._Neighbors = new EntitySet<Neighbor>(new Action<Neighbor>(this.attach_Neighbors), new Action<Neighbor>(this.detach_Neighbors)); this._Neighbors1 = new EntitySet<Neighbor>(new Action<Neighbor>(this.attach_Neighbors1), new Action<Neighbor>(this.detach_Neighbors1)); this._Tasks = new EntitySet<Task>(new Action<Task>(this.attach_Tasks), new Action<Task>(this.detach_Tasks)); this._PlanningPointByBlocks = new EntitySet<PlanningPointByBlock>(new Action<PlanningPointByBlock>(this.attach_PlanningPointByBlocks), new Action<PlanningPointByBlock>(this.detach_PlanningPointByBlocks)); this._ControlPointByBlocks = new EntitySet<ControlPointByBlock>(new Action<ControlPointByBlock>(this.attach_ControlPointByBlocks), new Action<ControlPointByBlock>(this.detach_ControlPointByBlocks)); this._Division = default(EntityRef<Division>); OnCreated(); } [OnDeserializing()] [System.ComponentModel.EditorBrowsableAttribute(EditorBrowsableState.Never)] public void OnDeserializing(StreamingContext context) { this.Initialize(); } [OnSerializing()] [System.ComponentModel.EditorBrowsableAttribute(EditorBrowsableState.Never)] public void OnSerializing(StreamingContext context) { this.serializing = true; } [OnSerialized()] [System.ComponentModel.EditorBrowsableAttribute(EditorBrowsableState.Never)] public void OnSerialized(StreamingContext context) { this.serializing = false; } } App.config: <?xml version="1.0" encoding="utf-8" ?> <configuration> <system.web> <compilation debug="true" /> </system.web> <!-- When deploying the service library project, the content of the config file must be added to the host's app.config file. System.Configuration does not support config files for libraries. --> <system.serviceModel> <services> <service behaviorConfiguration="debugging" name="DBServicesLibrary.DBService"> </service> </services> <behaviors> <serviceBehaviors> <behavior name="DBServicesLibrary.DBServiceBehavior"> <!-- To avoid disclosing metadata information, set the value below to false and remove the metadata endpoint above before deployment --> <serviceMetadata httpGetEnabled="True"/> <!-- To receive exception details in faults for debugging purposes, set the value below to true. Set to false before deployment to avoid disclosing exception information --> <serviceDebug includeExceptionDetailInFaults="False" /> </behavior> <behavior name="debugging"> <serviceDebug includeExceptionDetailInFaults="true"/> </behavior> </serviceBehaviors> </behaviors> </system.serviceModel> </configuration> Host part: ServiceHost svh = new ServiceHost(typeof(DBService)); svh.AddServiceEndpoint( typeof(DBServices.Contract.IDBService), new NetTcpBinding(), "net.tcp://localhost:8000"); Client part: ChannelFactory<DBServices.Contract.IDBService> scf; scf = new ChannelFactory<DBServices.Contract.IDBService>(new NetTcpBinding(),"net.tcp://localhost:8000"); _serv = scf.CreateChannel(); ((IContextChannel)_serv).OperationTimeout = new TimeSpan(0, 5, 0);

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  • Talend Enterprise Data Integration overperforms on Oracle SPARC T4

    - by Amir Javanshir
    The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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