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  • Open Source NoSQL Databases Ramp Up

    <b>Database Journal:</b> "For most of the Web era, Relational Database Management Systems (RDBMS) based on SQL have dominated the database landscape. But over the course of the last year, a new approach has begun to take hold known as NoSQL, offering an alternative to the traditional RDBMS."

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  • Subterranean IL: Filter exception handlers

    - by Simon Cooper
    Filter handlers are the second type of exception handler that aren't accessible from C#. Unlike the other handler types, which have defined conditions for when the handlers execute, filter lets you use custom logic to determine whether the handler should be run. However, similar to a catch block, the filter block does not get run if control flow exits the block without throwing an exception. Introducing filter blocks An example of a filter block in IL is the following: .try { // try block } filter { // filter block endfilter }{ // filter handler } or, in v1 syntax, TryStart: // try block TryEnd: FilterStart: // filter block HandlerStart: // filter handler HandlerEnd: .try TryStart to TryEnd filter FilterStart handler HandlerStart to HandlerEnd In the v1 syntax there is no end label specified for the filter block. This is because the filter block must come immediately before the filter handler; the end of the filter block is the start of the filter handler. The filter block indicates to the CLR whether the filter handler should be executed using a boolean value on the stack when the endfilter instruction is run; true/non-zero if it is to be executed, false/zero if it isn't. At the start of the filter block, and the corresponding filter handler, a reference to the exception thrown is pushed onto the stack as a raw object (you have to manually cast to System.Exception). The allowed IL inside a filter block is tightly controlled; you aren't allowed branches outside the block, rethrow instructions, and other exception handling clauses. You can, however, use call and callvirt instructions to call other methods. Filter block logic To demonstrate filter block logic, in this example I'm filtering on whether there's a particular key in the Data dictionary of the thrown exception: .try { // try block } filter { // Filter starts with exception object on stack // C# code: ((Exception)e).Data.Contains("MyExceptionDataKey") // only execute handler if Contains returns true castclass [mscorlib]System.Exception callvirt instance class [mscorlib]System.Collections.IDictionary [mscorlib]System.Exception::get_Data() ldstr "MyExceptionDataKey" callvirt instance bool [mscorlib]System.Collections.IDictionary::Contains(object) endfilter }{ // filter handler // Also starts off with exception object on stack callvirt instance string [mscorlib]System.Object::ToString() call void [mscorlib]System.Console::WriteLine(string) } Conclusion Filter exception handlers are another exception handler type that isn't accessible from C#, however, just like fault handlers, the behaviour can be replicated using a normal catch block: try { // try block } catch (Exception e) { if (!FilterLogic(e)) throw; // handler logic } So, it's not that great a loss, but it's still annoying that this functionality isn't directly accessible. Well, every feature starts off with minus 100 points, so it's understandable why something like this didn't make it into the C# compiler ahead of a different feature.

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  • Creating XML in SQL Server

    XML has become a common form of representing and exchanging data in today's information age. SQL Server introduced XML-centric capabilities in SQL Server 2000. That functionality has been expanded in later releases. One aspect of working with XML is creating XML from relational data, which is accomplished utilizing the FOR XML clause in SQL Server.

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  • Stairway to SQL Server Indexes: Step 1, Introduction to Indexes

    Indexes are the database objects that enable SQL Server to satisfy each data access request from a client application with the minimum amount of effort, resulting in the maximum performance of individual requests while also reducing the impact of one request upon another. Prerequisites: Familiarity with the following relational database concepts: Table, row, primary key, foreign key Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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  • ... i just avoid GUID

    - by Tomaz.tsql
    Our partner was explaining to me that they are using GUID as primary key on all the tables. My immediate reaction was - why? and couple of basic doubts were: - since I can read uniqueidentifier, it does not tell me absolutely anything - if I will use my relational table, i sure will use other columns to get the information out - SQL is terrible when setting up clustered index on GUID columns (and hence performance problems) - why not use INT? it will save you space on disk, optimizer will be able...(read more)

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  • July, the 31 Days of SQL Server DMO’s – Day 21 (sys.dm_db_partition_stats)

    - by Tamarick Hill
    The sys.dm_db_partition_stats DMV returns page count and row count information for each table or index within your database. Lets have a quick look at this DMV so we can review some of the results. **NOTE: I am going to create an ‘ObjectName’ column in our result set so that we can more easily identify tables. SELECT object_name(object_id) ObjectName, * FROM sys.dm_db_partition_stats As stated above, the first column in our result set is an Object name based on the object_id column of this result set. The partition_id column refers to the partition_id of the index in question. Each index will have at least 1 unique partition_id and will have more depending on if the object has been partitioned. The index_id column relates back to the sys.indexes table and uniquely identifies an index on a given object. A value of 0 (zero) in this column would indicate the object is a HEAP and a value of 1 (one) would signify the Clustered Index. Next is the partition_number which would signify the number of the partition for a particular object_id. Since none of my tables in my result set have been partitioned, they all display 1 for the partition_number. Next we have the in_row_data_page_count which tells us the number of data pages used to store in-row data for a given index. The in_row_used_page_count is the number of pages used to store and manage the in-row data. If we look at the first row in the result set, we will see we have 700 for this column and 680 for the previous. This means that just to manage the data (not store it) is requiring 20 pages. The next column in_row_reserved_page_count is how many pages have been reserved, regardless if they are being used or not. The next 2 columns are used for storing LOB (Large Object) data which could be text, image, varchar(max), or varbinary(max) columns. The next two columns, row_overflow, represent pages used for data that exceed the 8,060 byte row size limit for the in-row data pages. The next columns used_page_count and reserved_page_count represent the sum of the in_row, lob, and row_overflow columns discussed earlier. Lastly is a row_count column which displays the number of rows that are in a particular index. This DMV is a very powerful resource for identifying page and row count information. By knowing the page counts for indexes within your database, you are able to easily calculate the size of indexes. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms187737.aspx Follow me on Twitter @PrimeTimeDBA

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  • Three Ways to Get Started with MySQL Training

    - by Antoinette O'Sullivan
    Here is your chance to learn how this powerful relational database management system can make your life easier and more fun! This class covers all the basics and will get you on your way, with a solid foundation. This instructor led, hands-on class covers the fundamentals of SQL and relational databases, using MySQL[tm] as a teaching tool. You can take this 4 day instructor-led class in any of the following three ways: Training-On-Demand: See what Ben Krug, MySQL Support Engineer has to say about his experience taking the MySQL for Beginners TOD. With this streaming video delivery, you get started on taking the MySQL for Beginners course within 24 hrs of purchase, and follow the course at your own pace. Live-Virtual-Class: Take this class from your own desk - no travel required. There is a wide range of events on the schedule with delivery in English and German. In-Class: Travel to an education center to follow this class. Below is a sample of event on the schedule:  Location  Date  Delivery Language  Mechelen, Belgium  14 January 2013  English  London, England  3 December 2012  English  Hamburg, Germany  3 December 2012  German  Budapest, Hungary  5 February 2013  Hungarian  Riga, Latvia 18 February 2013   Latvian Amsterdam, Netherlands  10 December 2012  Dutch  Nieuwegein, Netherlands  18 February 2013  Dutch  Warsaw, Poland  26 November 2012   Polish  Lisbon, Portugal 25 March 2013  European Portugese   Porto, Portugal  25 March 2013  European Portugese  Barcelona, Spain 11 February 2013   Spanish  Madrid, Spain 8 January 2013   Spanish Nairobi, Kenya  14 January 2013   English  Cape Town, South Africa  22 July 2013  English  Pretoria, South Africa 22 April 2013  English Ottawa, Canada 17 December 2012  English  Toronto, Canada 17 December 2012   English  Montreal, Canada  17 December 2012 English  For more information on the Authentic MySQL Curriculum or to register your interest in an additional event, go to http://oracle.com/education/mysql. Note, many organizations deploy both Oracle Database and MySQL side by side to serve different needs, and as a database professional you can find training courses on both topics at Oracle University! Check out the upcoming Oracle Database training courses and MySQL training courses. Even if you're only managing Oracle Databases at this point of time, getting familiar with MySQL will broaden your career path with growing job demand.

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  • Hadoop growing pains

    - by Piotr Rodak
    This post is not going to be about SQL Server. I have been reading recently more and more about “Big Data” – very catchy term that describes untamed increase of the data that mankind is producing each day and the struggle to capture the meaning of these data. Ten years ago, and perhaps even three years ago this need was not so recognized. Increasing number of smartphones and discernable trend of mainstream Internet traffic moving to the smartphone generated one means that there is bigger and bigger stream of information that has to be stored, transformed, analysed and perhaps monetized. The nature of this traffic makes if very difficult to wrap it into boundaries of relational database engines. The amount of data makes it near to impossible to process them in relational databases within reasonable time. This is where ‘cloud’ technologies come to play. I just read a good article about the growing pains of Hadoop, which became one of the leading players on distributed processing arena within last year or two. Toby Baer concludes in it that lack of enterprise ready toolsets hinders Hadoop’s apprehension in the enterprise world. While this is true, something else drew my attention. According to the article there are already about half of a dozen of commercially supported distributions of Hadoop. For me, who has not been involved into intricacies of open-source world, this is quite interesting observation. On one hand, it is good that there is competition as it is beneficial in the end to the customer. On the other hand, the customer is faced with difficulty of choosing the right distribution. In future, when Hadoop distributions fork even more, this choice will be even harder. The distributions will have overlapping sets of features, yet will be quite incompatible with each other. I suppose it will take a few years until leaders emerge and the market will begin to resemble what we see in Linux world. There are myriads of distributions, but only few are acknowledged by the industry as enterprise standard. Others are honed by bearded individuals with too much time to spend. In any way, the third fact I can’t help but notice about the proliferation of distributions of Hadoop is that IT professionals will have jobs.   BuzzNet Tags: Hadoop,Big Data,Enterprise IT

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  • Free E-book on NHibernate from Syncfusion

    - by TATWORTH
    Originally posted on: http://geekswithblogs.net/TATWORTH/archive/2014/08/07/free-e-book-on-nhibernate-from-syncfusion.aspxSyncfusion are providing a free E-Book on NHibernate at http://www.syncfusion.com/resources/techportal/ebooks/nhibernate?utm_medium=edm “Master the intricacies of NHibernate, an established and powerful Object/Relational Mapper (ORM) in NHibernate Succinctly. Let author Ricardo Peres guide you toward a fuller understanding of one of the oldest and most flexible ORMs available”

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  • Hadoop growing pains

    - by Piotr Rodak
    This post is not going to be about SQL Server. I have been reading recently more and more about “Big Data” – very catchy term that describes untamed increase of the data that mankind is producing each day and the struggle to capture the meaning of these data. Ten years ago, and perhaps even three years ago this need was not so recognized. Increasing number of smartphones and discernable trend of mainstream Internet traffic moving to the smartphone generated one means that there is bigger and bigger stream of information that has to be stored, transformed, analysed and perhaps monetized. The nature of this traffic makes if very difficult to wrap it into boundaries of relational database engines. The amount of data makes it near to impossible to process them in relational databases within reasonable time. This is where ‘cloud’ technologies come to play. I just read a good article about the growing pains of Hadoop, which became one of the leading players on distributed processing arena within last year or two. Toby Baer concludes in it that lack of enterprise ready toolsets hinders Hadoop’s apprehension in the enterprise world. While this is true, something else drew my attention. According to the article there are already about half of a dozen of commercially supported distributions of Hadoop. For me, who has not been involved into intricacies of open-source world, this is quite interesting observation. On one hand, it is good that there is competition as it is beneficial in the end to the customer. On the other hand, the customer is faced with difficulty of choosing the right distribution. In future, when Hadoop distributions fork even more, this choice will be even harder. The distributions will have overlapping sets of features, yet will be quite incompatible with each other. I suppose it will take a few years until leaders emerge and the market will begin to resemble what we see in Linux world. There are myriads of distributions, but only few are acknowledged by the industry as enterprise standard. Others are honed by bearded individuals with too much time to spend. In any way, the third fact I can’t help but notice about the proliferation of distributions of Hadoop is that IT professionals will have jobs.   BuzzNet Tags: Hadoop,Big Data,Enterprise IT

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  • Poll: Foreign Key Constraints

    - by Darren Gosbell
    Do you create foreign key constraints between dimensions and facts in your relational star schemas? I don't want to bias the results in any way, so I won't post my opinion just yet. But a recent discussion got me thinking about the following question and I'm interested to hear what other peoples approaches are. Follow this link to get to the online poll Feel free to post comments if you want to explain the reasons for your answer.

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  • Fetching Data from Multiple Tables using Joins

    Applying normalization to relational databases tends to promote better accuracy of queries, but it also leads to queries that take a little more work to develop, as the data may be spread amongst several tables. In today's article, we'll learn how to fetch data from multiple tables by using joins.

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  • SQL Saturday Birmingham #328 Database Design Precon In One Week

    - by drsql
    On September 22, I will be doing my "How to Design a Relational Database" pre-conference session in Birmingham, Alabama. You can see the abstract here if you are interested, and you can sign up there too, naturally. At just $100, which includes a free ebook copy of my database design book, it is a great bargain and I totally promise it will be a little over 7 hours of talking about and designing databases, which will certainly be better than what you do on a normal work day, even a Friday....(read more)

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  • Referential Integrity: Best Practices for IBM DB2

    Of the various constraints possible on relational tables, referential constraints are perhaps the most common ... and most misused. Learn about the advantages and disadvantages of different methods to implement and enforce RI, and issues that must be addressed when implementing DBMS-enforced Referential Integrity.

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  • Database Activity Monitoring Part 2 - SQL Injection Attacks

    If you think through the web sites you visit on a daily basis the chances are that you will need to login to verify who you are. In most cases your username would be stored in a relational database along with all the other registered users on that web site. Hopefully your password will be encrypted and not stored in plain text.

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  • links for 2011-02-16

    - by Bob Rhubart
    On the Software Architect Trail Software architect is the #1 job, according to a 2010 CNN-Money poll. In this article in Oracle Magazine, several members of the OTN architect community talk about the career paths that led them to this lucrative role.  (tags: oracle oraclemagazine softwarearchitect) Oracle Technology Network Architect Day: Denver Registration opens soon for this event to be held in Denver on March 23, 2011.  (tags: oracle otn entarch) How the Internet Gets Inside Us : The New Yorker "It isn’t just that we’ve lived one technological revolution among many; it’s that our technological revolution is the big social revolution that we live with." - Adam Gopnik (tags: internet progress technology innovation) The Insider Threat: Understand and Mitigate Your Risks: CSO Webcast February 23, 2011 at 1:00 PM EST/ 10:00 AM PST .  Speakers: Randy Trzeciak, lead for the CERT Insider Threat research team, and  Roxana Bradescu, Director of Database Security at Oracle. (tags: oracle CERT security) The Tom Kyte Blog: An Interesting Read... Tom looks at "an internet security firm brought down by not following the most *basic* of security principals." (tags: security oracle) Jason Williamson: Oracle as a Service in the Cloud "It is not trivial to migrate large amounts of pre-relational or 'devolved' relational data. To do this, we again must revert back to a tight roadmap to migration and leverage the growing tools and services that we have." - Jason Williamson (tags: oracle cloud soa) Edwin Biemond: Java / Oracle SOA blog: Building an asynchronous web service with JAX-WS "Building an asynchronous web service can be complex especially when you are used to synchronous Web services where you can wait for the response in your favorite tool." - Oracle ACE Edwin Biemond (tags: oracle oracleace java soa) Shared Database Servers (The SaaS Report) "Outside the virtualization world, there are capabilities of Oracle Database which can be used to prevent resource contention and guarantee SLA." - Shivanshu Upadhyay (tags: oracle database cloud SaaS) White Paper: Experiencing the New Social Enterprise "Increasingly organizations recognize the mandate to create a modern user experience that transforms existing business processes and increases business efficiency and agility." (tags: e20 enterprise2.0 socialcomputing oracle) Clusterware 11gR2 - Setting up an Active/Passive failover configuration Gilles Haro illustrates the steps necessary to achieve "a fully operational 11gR2 database protected by automatic failover capabilities." (tags: oracle clusterware) Oracle ERP: How to overcome local hurdles in a global implementation "The corporate world becomes a global village as many companies expand their business and offices around different countries and even continents. And this number keeps increasing. This globalization raises interesting questions..." - Jan Verhallen (tags: oracle capgemini entarch erp) Webcast: Successful Strategies for Optimizing Your Data Warehouse. March 3. 10 a.m. PT/1 p.m. ET Thursday, March 3, 2011. 10 a.m. PT/1 p.m. ET. Speakers: Mala Narasimharajan (Senior Product Marketing Manager, Oracle Data Integration) and Denis Gray (Principal Product Manager, Oracle Data Integration) (tags: oracle dataintegration datawarehousing)

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  • C#/.NET Little Wonders: The Generic Func Delegates

    - by James Michael Hare
    Once again, in this series of posts I look at the parts of the .NET Framework that may seem trivial, but can help improve your code by making it easier to write and maintain. The index of all my past little wonders posts can be found here. Back in one of my three original “Little Wonders” Trilogy of posts, I had listed generic delegates as one of the Little Wonders of .NET.  Later, someone posted a comment saying said that they would love more detail on the generic delegates and their uses, since my original entry just scratched the surface of them. Last week, I began our look at some of the handy generic delegates built into .NET with a description of delegates in general, and the Action family of delegates.  For this week, I’ll launch into a look at the Func family of generic delegates and how they can be used to support generic, reusable algorithms and classes. Quick Delegate Recap Delegates are similar to function pointers in C++ in that they allow you to store a reference to a method.  They can store references to either static or instance methods, and can actually be used to chain several methods together in one delegate. Delegates are very type-safe and can be satisfied with any standard method, anonymous method, or a lambda expression.  They can also be null as well (refers to no method), so care should be taken to make sure that the delegate is not null before you invoke it. Delegates are defined using the keyword delegate, where the delegate’s type name is placed where you would typically place the method name: 1: // This delegate matches any method that takes string, returns nothing 2: public delegate void Log(string message); This delegate defines a delegate type named Log that can be used to store references to any method(s) that satisfies its signature (whether instance, static, lambda expression, etc.). Delegate instances then can be assigned zero (null) or more methods using the operator = which replaces the existing delegate chain, or by using the operator += which adds a method to the end of a delegate chain: 1: // creates a delegate instance named currentLogger defaulted to Console.WriteLine (static method) 2: Log currentLogger = Console.Out.WriteLine; 3:  4: // invokes the delegate, which writes to the console out 5: currentLogger("Hi Standard Out!"); 6:  7: // append a delegate to Console.Error.WriteLine to go to std error 8: currentLogger += Console.Error.WriteLine; 9:  10: // invokes the delegate chain and writes message to std out and std err 11: currentLogger("Hi Standard Out and Error!"); While delegates give us a lot of power, it can be cumbersome to re-create fairly standard delegate definitions repeatedly, for this purpose the generic delegates were introduced in various stages in .NET.  These support various method types with particular signatures. Note: a caveat with generic delegates is that while they can support multiple parameters, they do not match methods that contains ref or out parameters. If you want to a delegate to represent methods that takes ref or out parameters, you will need to create a custom delegate. We’ve got the Func… delegates Just like it’s cousin, the Action delegate family, the Func delegate family gives us a lot of power to use generic delegates to make classes and algorithms more generic.  Using them keeps us from having to define a new delegate type when need to make a class or algorithm generic. Remember that the point of the Action delegate family was to be able to perform an “action” on an item, with no return results.  Thus Action delegates can be used to represent most methods that take 0 to 16 arguments but return void.  You can assign a method The Func delegate family was introduced in .NET 3.5 with the advent of LINQ, and gives us the power to define a function that can be called on 0 to 16 arguments and returns a result.  Thus, the main difference between Action and Func, from a delegate perspective, is that Actions return nothing, but Funcs return a result. The Func family of delegates have signatures as follows: Func<TResult> – matches a method that takes no arguments, and returns value of type TResult. Func<T, TResult> – matches a method that takes an argument of type T, and returns value of type TResult. Func<T1, T2, TResult> – matches a method that takes arguments of type T1 and T2, and returns value of type TResult. Func<T1, T2, …, TResult> – and so on up to 16 arguments, and returns value of type TResult. These are handy because they quickly allow you to be able to specify that a method or class you design will perform a function to produce a result as long as the method you specify meets the signature. For example, let’s say you were designing a generic aggregator, and you wanted to allow the user to define how the values will be aggregated into the result (i.e. Sum, Min, Max, etc…).  To do this, we would ask the user of our class to pass in a method that would take the current total, the next value, and produce a new total.  A class like this could look like: 1: public sealed class Aggregator<TValue, TResult> 2: { 3: // holds method that takes previous result, combines with next value, creates new result 4: private Func<TResult, TValue, TResult> _aggregationMethod; 5:  6: // gets or sets the current result of aggregation 7: public TResult Result { get; private set; } 8:  9: // construct the aggregator given the method to use to aggregate values 10: public Aggregator(Func<TResult, TValue, TResult> aggregationMethod = null) 11: { 12: if (aggregationMethod == null) throw new ArgumentNullException("aggregationMethod"); 13:  14: _aggregationMethod = aggregationMethod; 15: } 16:  17: // method to add next value 18: public void Aggregate(TValue nextValue) 19: { 20: // performs the aggregation method function on the current result and next and sets to current result 21: Result = _aggregationMethod(Result, nextValue); 22: } 23: } Of course, LINQ already has an Aggregate extension method, but that works on a sequence of IEnumerable<T>, whereas this is designed to work more with aggregating single results over time (such as keeping track of a max response time for a service). We could then use this generic aggregator to find the sum of a series of values over time, or the max of a series of values over time (among other things): 1: // creates an aggregator that adds the next to the total to sum the values 2: var sumAggregator = new Aggregator<int, int>((total, next) => total + next); 3:  4: // creates an aggregator (using static method) that returns the max of previous result and next 5: var maxAggregator = new Aggregator<int, int>(Math.Max); So, if we were timing the response time of a web method every time it was called, we could pass that response time to both of these aggregators to get an idea of the total time spent in that web method, and the max time spent in any one call to the web method: 1: // total will be 13 and max 13 2: int responseTime = 13; 3: sumAggregator.Aggregate(responseTime); 4: maxAggregator.Aggregate(responseTime); 5:  6: // total will be 20 and max still 13 7: responseTime = 7; 8: sumAggregator.Aggregate(responseTime); 9: maxAggregator.Aggregate(responseTime); 10:  11: // total will be 40 and max now 20 12: responseTime = 20; 13: sumAggregator.Aggregate(responseTime); 14: maxAggregator.Aggregate(responseTime); The Func delegate family is useful for making generic algorithms and classes, and in particular allows the caller of the method or user of the class to specify a function to be performed in order to generate a result. What is the result of a Func delegate chain? If you remember, we said earlier that you can assign multiple methods to a delegate by using the += operator to chain them.  So how does this affect delegates such as Func that return a value, when applied to something like the code below? 1: Func<int, int, int> combo = null; 2:  3: // What if we wanted to aggregate the sum and max together? 4: combo += (total, next) => total + next; 5: combo += Math.Max; 6:  7: // what is the result? 8: var comboAggregator = new Aggregator<int, int>(combo); Well, in .NET if you chain multiple methods in a delegate, they will all get invoked, but the result of the delegate is the result of the last method invoked in the chain.  Thus, this aggregator would always result in the Math.Max() result.  The other chained method (the sum) gets executed first, but it’s result is thrown away: 1: // result is 13 2: int responseTime = 13; 3: comboAggregator.Aggregate(responseTime); 4:  5: // result is still 13 6: responseTime = 7; 7: comboAggregator.Aggregate(responseTime); 8:  9: // result is now 20 10: responseTime = 20; 11: comboAggregator.Aggregate(responseTime); So remember, you can chain multiple Func (or other delegates that return values) together, but if you do so you will only get the last executed result. Func delegates and co-variance/contra-variance in .NET 4.0 Just like the Action delegate, as of .NET 4.0, the Func delegate family is contra-variant on its arguments.  In addition, it is co-variant on its return type.  To support this, in .NET 4.0 the signatures of the Func delegates changed to: Func<out TResult> – matches a method that takes no arguments, and returns value of type TResult (or a more derived type). Func<in T, out TResult> – matches a method that takes an argument of type T (or a less derived type), and returns value of type TResult(or a more derived type). Func<in T1, in T2, out TResult> – matches a method that takes arguments of type T1 and T2 (or less derived types), and returns value of type TResult (or a more derived type). Func<in T1, in T2, …, out TResult> – and so on up to 16 arguments, and returns value of type TResult (or a more derived type). Notice the addition of the in and out keywords before each of the generic type placeholders.  As we saw last week, the in keyword is used to specify that a generic type can be contra-variant -- it can match the given type or a type that is less derived.  However, the out keyword, is used to specify that a generic type can be co-variant -- it can match the given type or a type that is more derived. On contra-variance, if you are saying you need an function that will accept a string, you can just as easily give it an function that accepts an object.  In other words, if you say “give me an function that will process dogs”, I could pass you a method that will process any animal, because all dogs are animals.  On the co-variance side, if you are saying you need a function that returns an object, you can just as easily pass it a function that returns a string because any string returned from the given method can be accepted by a delegate expecting an object result, since string is more derived.  Once again, in other words, if you say “give me a method that creates an animal”, I can pass you a method that will create a dog, because all dogs are animals. It really all makes sense, you can pass a more specific thing to a less specific parameter, and you can return a more specific thing as a less specific result.  In other words, pay attention to the direction the item travels (parameters go in, results come out).  Keeping that in mind, you can always pass more specific things in and return more specific things out. For example, in the code below, we have a method that takes a Func<object> to generate an object, but we can pass it a Func<string> because the return type of object can obviously accept a return value of string as well: 1: // since Func<object> is co-variant, this will access Func<string>, etc... 2: public static string Sequence(int count, Func<object> generator) 3: { 4: var builder = new StringBuilder(); 5:  6: for (int i=0; i<count; i++) 7: { 8: object value = generator(); 9: builder.Append(value); 10: } 11:  12: return builder.ToString(); 13: } Even though the method above takes a Func<object>, we can pass a Func<string> because the TResult type placeholder is co-variant and accepts types that are more derived as well: 1: // delegate that's typed to return string. 2: Func<string> stringGenerator = () => DateTime.Now.ToString(); 3:  4: // This will work in .NET 4.0, but not in previous versions 5: Sequence(100, stringGenerator); Previous versions of .NET implemented some forms of co-variance and contra-variance before, but .NET 4.0 goes one step further and allows you to pass or assign an Func<A, BResult> to a Func<Y, ZResult> as long as A is less derived (or same) as Y, and BResult is more derived (or same) as ZResult. Sidebar: The Func and the Predicate A method that takes one argument and returns a bool is generally thought of as a predicate.  Predicates are used to examine an item and determine whether that item satisfies a particular condition.  Predicates are typically unary, but you may also have binary and other predicates as well. Predicates are often used to filter results, such as in the LINQ Where() extension method: 1: var numbers = new[] { 1, 2, 4, 13, 8, 10, 27 }; 2:  3: // call Where() using a predicate which determines if the number is even 4: var evens = numbers.Where(num => num % 2 == 0); As of .NET 3.5, predicates are typically represented as Func<T, bool> where T is the type of the item to examine.  Previous to .NET 3.5, there was a Predicate<T> type that tended to be used (which we’ll discuss next week) and is still supported, but most developers recommend using Func<T, bool> now, as it prevents confusion with overloads that accept unary predicates and binary predicates, etc.: 1: // this seems more confusing as an overload set, because of Predicate vs Func 2: public static SomeMethod(Predicate<int> unaryPredicate) { } 3: public static SomeMethod(Func<int, int, bool> binaryPredicate) { } 4:  5: // this seems more consistent as an overload set, since just uses Func 6: public static SomeMethod(Func<int, bool> unaryPredicate) { } 7: public static SomeMethod(Func<int, int, bool> binaryPredicate) { } Also, even though Predicate<T> and Func<T, bool> match the same signatures, they are separate types!  Thus you cannot assign a Predicate<T> instance to a Func<T, bool> instance and vice versa: 1: // the same method, lambda expression, etc can be assigned to both 2: Predicate<int> isEven = i => (i % 2) == 0; 3: Func<int, bool> alsoIsEven = i => (i % 2) == 0; 4:  5: // but the delegate instances cannot be directly assigned, strongly typed! 6: // ERROR: cannot convert type... 7: isEven = alsoIsEven; 8:  9: // however, you can assign by wrapping in a new instance: 10: isEven = new Predicate<int>(alsoIsEven); 11: alsoIsEven = new Func<int, bool>(isEven); So, the general advice that seems to come from most developers is that Predicate<T> is still supported, but we should use Func<T, bool> for consistency in .NET 3.5 and above. Sidebar: Func as a Generator for Unit Testing One area of difficulty in unit testing can be unit testing code that is based on time of day.  We’d still want to unit test our code to make sure the logic is accurate, but we don’t want the results of our unit tests to be dependent on the time they are run. One way (of many) around this is to create an internal generator that will produce the “current” time of day.  This would default to returning result from DateTime.Now (or some other method), but we could inject specific times for our unit testing.  Generators are typically methods that return (generate) a value for use in a class/method. For example, say we are creating a CacheItem<T> class that represents an item in the cache, and we want to make sure the item shows as expired if the age is more than 30 seconds.  Such a class could look like: 1: // responsible for maintaining an item of type T in the cache 2: public sealed class CacheItem<T> 3: { 4: // helper method that returns the current time 5: private static Func<DateTime> _timeGenerator = () => DateTime.Now; 6:  7: // allows internal access to the time generator 8: internal static Func<DateTime> TimeGenerator 9: { 10: get { return _timeGenerator; } 11: set { _timeGenerator = value; } 12: } 13:  14: // time the item was cached 15: public DateTime CachedTime { get; private set; } 16:  17: // the item cached 18: public T Value { get; private set; } 19:  20: // item is expired if older than 30 seconds 21: public bool IsExpired 22: { 23: get { return _timeGenerator() - CachedTime > TimeSpan.FromSeconds(30.0); } 24: } 25:  26: // creates the new cached item, setting cached time to "current" time 27: public CacheItem(T value) 28: { 29: Value = value; 30: CachedTime = _timeGenerator(); 31: } 32: } Then, we can use this construct to unit test our CacheItem<T> without any time dependencies: 1: var baseTime = DateTime.Now; 2:  3: // start with current time stored above (so doesn't drift) 4: CacheItem<int>.TimeGenerator = () => baseTime; 5:  6: var target = new CacheItem<int>(13); 7:  8: // now add 15 seconds, should still be non-expired 9: CacheItem<int>.TimeGenerator = () => baseTime.AddSeconds(15); 10:  11: Assert.IsFalse(target.IsExpired); 12:  13: // now add 31 seconds, should now be expired 14: CacheItem<int>.TimeGenerator = () => baseTime.AddSeconds(31); 15:  16: Assert.IsTrue(target.IsExpired); Now we can unit test for 1 second before, 1 second after, 1 millisecond before, 1 day after, etc.  Func delegates can be a handy tool for this type of value generation to support more testable code.  Summary Generic delegates give us a lot of power to make truly generic algorithms and classes.  The Func family of delegates is a great way to be able to specify functions to calculate a result based on 0-16 arguments.  Stay tuned in the weeks that follow for other generic delegates in the .NET Framework!   Tweet Technorati Tags: .NET, C#, CSharp, Little Wonders, Generics, Func, Delegates

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  • Pre-Conference Sessions at the PASS Summit

    - by andyleonard
    Introduction I have some thoughts on the selection of pre-conference and post-conference session presenters at the PASS Summit. PASS pre-conference and post-conference sessions are $395. Trainers and speakers in the various SQL Server fields (relational engine, business intelligence, etc.) are selected to deliver these day-long seminars before and (now) after each PASS Summit. I have attended a few and the quality and amount of the training easily justifies the $395 price tag. Full Disclosure I've...(read more)

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  • SSAS: Utility to check you have the correct data types and sizes in your cube definition

    - by DrJohn
    This blog describes a tool I developed which allows you to compare the data types and data sizes found in the cube’s data source view with the data types/sizes of the corresponding dimensional attribute.  Why is this important?  Well when creating named queries in a cube’s data source view, it is often necessary to use the SQL CAST or CONVERT operation to change the data type to something more appropriate for SSAS.  This is particularly important when your cube is based on an Oracle data source or using custom SQL queries rather than views in the relational database.   The problem with BIDS is that if you change the underlying SQL query, then the size of the data type in the dimension does not update automatically.  This then causes problems during deployment whereby processing the dimension fails because the data in the relational database is wider than that allowed by the dimensional attribute. In particular, if you use some string manipulation functions provided by SQL Server or Oracle in your queries, you may find that the 10 character string you expect suddenly turns into an 8,000 character monster.  For example, the SQL Server function REPLACE returns column with a width of 8,000 characters.  So if you use this function in the named query in your DSV, you will get a column width of 8,000 characters.  Although the Oracle REPLACE function is far more intelligent, the generated column size could still be way bigger than the maximum length of the data actually in the field. Now this may not be a problem when prototyping, but in your production cubes you really should clean up this kind of thing as these massive strings will add to processing times and storage space. Similarly, you do not want to forget to change the size of the dimension attribute if your database columns increase in size. Introducing CheckCubeDataTypes Utiltity The CheckCubeDataTypes application extracts all the data types and data sizes for all attributes in the cube and compares them to the data types and data sizes in the cube’s data source view.  It then generates an Excel CSV file which contains all this metadata along with a flag indicating if there is a mismatch between the DSV and the dimensional attribute.  Note that the app not only checks all the attribute keys but also the name and value columns for each attribute. Another benefit of having the metadata held in a CSV text file format is that you can place the file under source code control.  This allows you to compare the metadata of the previous cube release with your new release to highlight problems introduced by new development. You can download the C# source code from here: CheckCubeDataTypes.zip A typical example of the output Excel CSV file is shown below - note that the last column shows a data size mismatch by TRUE appearing in the column

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  • Get Started with .Net and Apache Cassandra

    - by Sazzad Hossain
    Just came across a easy and nice to read article explaining how to get started with noSQL database system. These no relational databases are getting increasingly popular to tackle the distribution and large data set problems.Cassandra's ColumnFamily data model offers the convenience of column indexes with the performance of log-structured updates, strong support for materialized views, and powerful built-in caching.The article is nicely written by Kellabyte  and shows step by step process how to get going with the programming in a .net platform.Read more here.

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  • SilverlightShow for Feb 28 - March 06, 2011

    - by Dave Campbell
    Check out the Top Five most popular news at SilverlightShow for Feb 28 - Mar 06, 2011. While you're at it, check out the ECO Contest site, and vote for your favorites before midnight PST on March 10. Here are the top 5 news on SilverlightShow for last week: SilverlightShow Bookshelf now released as Open Source CRUD Operation on Relational Data (Multiple table) using RIA and Silverlight 4 A Sample Silverlight 4 Application Using MEF, MVVM, and WCF RIA Services - Part 3 Daily News Digest 03/02/2011 RadControls for Windows Phone 7 Q1 2011 Beta 2 released Visit and bookmark SilverlightShow. Stay in the 'Light

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  • Ten Problems with XQuery and the SQL/XML Standard

    XQuery and SQL/XML standard are processors for XML. SQL/XML was designed to try to match the capabilities of XQuery as closely as possible and XQuery was designed not only to support XML, but also to support relational processing. Read on to learn why this may have a negative influence on their capabilities.

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  • Data Holder Framework

    - by csharp-source.net
    Data Holder is an open source .net object/relational mapper written in c#. It provides typed data ecapsulation and database persistence for .net applications. It also contains a wizzard for generating the data objects and persistance c# code. Right now it has persistence implementation only for MSQL 2000/2005.

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