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  • SQL statements in seperate file

    - by tony
    Hello, I'm working on .net project and writing an application that interacts with database. I currently have some SQL statements in the code and I want to put these statements in separate file with solution. So, later when the application gets deployed, and if I want to update SQL statements, I could just update the statements in the file and just replace the file instead of redeploying the whole solution. Thank you for your help.

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  • How can I use Databound variables in conditional statements within Custom Databound controls?

    - by William Calleja
    I'm developing my custom DataBound Controls that make use of an '<ItemTemplate>' tag and '<%# %>' server tags to generate some data however I need to make a conditional statement within one of my Databound controls as shown below. <custom:DataboundControl runat="server"> <ItemTemplate> <% if(((Dictionary<string, string>)Container.DataItem)["MyVariable"]=="" { %> <!-- Conditional Code Happens Here --> <% } %> </ItemTemplate> </custom:DataboundControl> Right now my code isn't working because the compiler cannot recognize my Container.DataItem variable within a <% %> tag and a <%# %> tag doesn't support conditional statements. What can I use?

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  • How LINQ to Object statements work

    - by rajbk
    This post goes into detail as to now LINQ statements work when querying a collection of objects. This topic assumes you have an understanding of how generics, delegates, implicitly typed variables, lambda expressions, object/collection initializers, extension methods and the yield statement work. I would also recommend you read my previous two posts: Using Delegates in C# Part 1 Using Delegates in C# Part 2 We will start by writing some methods to filter a collection of data. Assume we have an Employee class like so: 1: public class Employee { 2: public int ID { get; set;} 3: public string FirstName { get; set;} 4: public string LastName {get; set;} 5: public string Country { get; set; } 6: } and a collection of employees like so: 1: var employees = new List<Employee> { 2: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 3: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 4: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 5: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" }, 6: }; Filtering We wish to  find all employees that have an even ID. We could start off by writing a method that takes in a list of employees and returns a filtered list of employees with an even ID. 1: static List<Employee> GetEmployeesWithEvenID(List<Employee> employees) { 2: var filteredEmployees = new List<Employee>(); 3: foreach (Employee emp in employees) { 4: if (emp.ID % 2 == 0) { 5: filteredEmployees.Add(emp); 6: } 7: } 8: return filteredEmployees; 9: } The method can be rewritten to return an IEnumerable<Employee> using the yield return keyword. 1: static IEnumerable<Employee> GetEmployeesWithEvenID(IEnumerable<Employee> employees) { 2: foreach (Employee emp in employees) { 3: if (emp.ID % 2 == 0) { 4: yield return emp; 5: } 6: } 7: } We put these together in a console application. 1: using System; 2: using System.Collections.Generic; 3: //No System.Linq 4:  5: public class Program 6: { 7: [STAThread] 8: static void Main(string[] args) 9: { 10: var employees = new List<Employee> { 11: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 12: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 13: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 14: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" }, 15: }; 16: var filteredEmployees = GetEmployeesWithEvenID(employees); 17:  18: foreach (Employee emp in filteredEmployees) { 19: Console.WriteLine("ID {0} First_Name {1} Last_Name {2} Country {3}", 20: emp.ID, emp.FirstName, emp.LastName, emp.Country); 21: } 22:  23: Console.ReadLine(); 24: } 25: 26: static IEnumerable<Employee> GetEmployeesWithEvenID(IEnumerable<Employee> employees) { 27: foreach (Employee emp in employees) { 28: if (emp.ID % 2 == 0) { 29: yield return emp; 30: } 31: } 32: } 33: } 34:  35: public class Employee { 36: public int ID { get; set;} 37: public string FirstName { get; set;} 38: public string LastName {get; set;} 39: public string Country { get; set; } 40: } Output: ID 2 First_Name Jim Last_Name Ashlock Country UK ID 4 First_Name Jill Last_Name Anderson Country AUS Our filtering method is too specific. Let us change it so that it is capable of doing different types of filtering and lets give our method the name Where ;-) We will add another parameter to our Where method. This additional parameter will be a delegate with the following declaration. public delegate bool Filter(Employee emp); The idea is that the delegate parameter in our Where method will point to a method that contains the logic to do our filtering thereby freeing our Where method from any dependency. The method is shown below: 1: static IEnumerable<Employee> Where(IEnumerable<Employee> employees, Filter filter) { 2: foreach (Employee emp in employees) { 3: if (filter(emp)) { 4: yield return emp; 5: } 6: } 7: } Making the change to our app, we create a new instance of the Filter delegate on line 14 with a target set to the method EmployeeHasEvenId. Running the code will produce the same output. 1: public delegate bool Filter(Employee emp); 2:  3: public class Program 4: { 5: [STAThread] 6: static void Main(string[] args) 7: { 8: var employees = new List<Employee> { 9: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 10: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 11: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 12: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 13: }; 14: var filterDelegate = new Filter(EmployeeHasEvenId); 15: var filteredEmployees = Where(employees, filterDelegate); 16:  17: foreach (Employee emp in filteredEmployees) { 18: Console.WriteLine("ID {0} First_Name {1} Last_Name {2} Country {3}", 19: emp.ID, emp.FirstName, emp.LastName, emp.Country); 20: } 21: Console.ReadLine(); 22: } 23: 24: static bool EmployeeHasEvenId(Employee emp) { 25: return emp.ID % 2 == 0; 26: } 27: 28: static IEnumerable<Employee> Where(IEnumerable<Employee> employees, Filter filter) { 29: foreach (Employee emp in employees) { 30: if (filter(emp)) { 31: yield return emp; 32: } 33: } 34: } 35: } 36:  37: public class Employee { 38: public int ID { get; set;} 39: public string FirstName { get; set;} 40: public string LastName {get; set;} 41: public string Country { get; set; } 42: } Lets use lambda expressions to inline the contents of the EmployeeHasEvenId method in place of the method. The next code snippet shows this change (see line 15).  For brevity, the Employee class declaration has been skipped. 1: public delegate bool Filter(Employee emp); 2:  3: public class Program 4: { 5: [STAThread] 6: static void Main(string[] args) 7: { 8: var employees = new List<Employee> { 9: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 10: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 11: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 12: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 13: }; 14: var filterDelegate = new Filter(EmployeeHasEvenId); 15: var filteredEmployees = Where(employees, emp => emp.ID % 2 == 0); 16:  17: foreach (Employee emp in filteredEmployees) { 18: Console.WriteLine("ID {0} First_Name {1} Last_Name {2} Country {3}", 19: emp.ID, emp.FirstName, emp.LastName, emp.Country); 20: } 21: Console.ReadLine(); 22: } 23: 24: static bool EmployeeHasEvenId(Employee emp) { 25: return emp.ID % 2 == 0; 26: } 27: 28: static IEnumerable<Employee> Where(IEnumerable<Employee> employees, Filter filter) { 29: foreach (Employee emp in employees) { 30: if (filter(emp)) { 31: yield return emp; 32: } 33: } 34: } 35: } 36:  The output displays the same two employees.  Our Where method is too restricted since it works with a collection of Employees only. Lets change it so that it works with any IEnumerable<T>. In addition, you may recall from my previous post,  that .NET 3.5 comes with a lot of predefined delegates including public delegate TResult Func<T, TResult>(T arg); We will get rid of our Filter delegate and use the one above instead. We apply these two changes to our code. 1: public class Program 2: { 3: [STAThread] 4: static void Main(string[] args) 5: { 6: var employees = new List<Employee> { 7: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 8: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 9: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 10: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 11: }; 12:  13: var filteredEmployees = Where(employees, emp => emp.ID % 2 == 0); 14:  15: foreach (Employee emp in filteredEmployees) { 16: Console.WriteLine("ID {0} First_Name {1} Last_Name {2} Country {3}", 17: emp.ID, emp.FirstName, emp.LastName, emp.Country); 18: } 19: Console.ReadLine(); 20: } 21: 22: static IEnumerable<T> Where<T>(IEnumerable<T> source, Func<T, bool> filter) { 23: foreach (var x in source) { 24: if (filter(x)) { 25: yield return x; 26: } 27: } 28: } 29: } We have successfully implemented a way to filter any IEnumerable<T> based on a  filter criteria. Projection Now lets enumerate on the items in the IEnumerable<Employee> we got from the Where method and copy them into a new IEnumerable<EmployeeFormatted>. The EmployeeFormatted class will only have a FullName and ID property. 1: public class EmployeeFormatted { 2: public int ID { get; set; } 3: public string FullName {get; set;} 4: } We could “project” our existing IEnumerable<Employee> into a new collection of IEnumerable<EmployeeFormatted> with the help of a new method. We will call this method Select ;-) 1: static IEnumerable<EmployeeFormatted> Select(IEnumerable<Employee> employees) { 2: foreach (var emp in employees) { 3: yield return new EmployeeFormatted { 4: ID = emp.ID, 5: FullName = emp.LastName + ", " + emp.FirstName 6: }; 7: } 8: } The changes are applied to our app. 1: public class Program 2: { 3: [STAThread] 4: static void Main(string[] args) 5: { 6: var employees = new List<Employee> { 7: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 8: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 9: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 10: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 11: }; 12:  13: var filteredEmployees = Where(employees, emp => emp.ID % 2 == 0); 14: var formattedEmployees = Select(filteredEmployees); 15:  16: foreach (EmployeeFormatted emp in formattedEmployees) { 17: Console.WriteLine("ID {0} Full_Name {1}", 18: emp.ID, emp.FullName); 19: } 20: Console.ReadLine(); 21: } 22:  23: static IEnumerable<T> Where<T>(IEnumerable<T> source, Func<T, bool> filter) { 24: foreach (var x in source) { 25: if (filter(x)) { 26: yield return x; 27: } 28: } 29: } 30: 31: static IEnumerable<EmployeeFormatted> Select(IEnumerable<Employee> employees) { 32: foreach (var emp in employees) { 33: yield return new EmployeeFormatted { 34: ID = emp.ID, 35: FullName = emp.LastName + ", " + emp.FirstName 36: }; 37: } 38: } 39: } 40:  41: public class Employee { 42: public int ID { get; set;} 43: public string FirstName { get; set;} 44: public string LastName {get; set;} 45: public string Country { get; set; } 46: } 47:  48: public class EmployeeFormatted { 49: public int ID { get; set; } 50: public string FullName {get; set;} 51: } Output: ID 2 Full_Name Ashlock, Jim ID 4 Full_Name Anderson, Jill We have successfully selected employees who have an even ID and then shaped our data with the help of the Select method so that the final result is an IEnumerable<EmployeeFormatted>.  Lets make our Select method more generic so that the user is given the freedom to shape what the output would look like. We can do this, like before, with lambda expressions. Our Select method is changed to accept a delegate as shown below. TSource will be the type of data that comes in and TResult will be the type the user chooses (shape of data) as returned from the selector delegate. 1:  2: static IEnumerable<TResult> Select<TSource, TResult>(IEnumerable<TSource> source, Func<TSource, TResult> selector) { 3: foreach (var x in source) { 4: yield return selector(x); 5: } 6: } We see the new changes to our app. On line 15, we use lambda expression to specify the shape of the data. In this case the shape will be of type EmployeeFormatted. 1:  2: public class Program 3: { 4: [STAThread] 5: static void Main(string[] args) 6: { 7: var employees = new List<Employee> { 8: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 9: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 10: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 11: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 12: }; 13:  14: var filteredEmployees = Where(employees, emp => emp.ID % 2 == 0); 15: var formattedEmployees = Select(filteredEmployees, (emp) => 16: new EmployeeFormatted { 17: ID = emp.ID, 18: FullName = emp.LastName + ", " + emp.FirstName 19: }); 20:  21: foreach (EmployeeFormatted emp in formattedEmployees) { 22: Console.WriteLine("ID {0} Full_Name {1}", 23: emp.ID, emp.FullName); 24: } 25: Console.ReadLine(); 26: } 27: 28: static IEnumerable<T> Where<T>(IEnumerable<T> source, Func<T, bool> filter) { 29: foreach (var x in source) { 30: if (filter(x)) { 31: yield return x; 32: } 33: } 34: } 35: 36: static IEnumerable<TResult> Select<TSource, TResult>(IEnumerable<TSource> source, Func<TSource, TResult> selector) { 37: foreach (var x in source) { 38: yield return selector(x); 39: } 40: } 41: } The code outputs the same result as before. On line 14 we filter our data and on line 15 we project our data. What if we wanted to be more expressive and concise? We could combine both line 14 and 15 into one line as shown below. Assuming you had to perform several operations like this on our collection, you would end up with some very unreadable code! 1: var formattedEmployees = Select(Where(employees, emp => emp.ID % 2 == 0), (emp) => 2: new EmployeeFormatted { 3: ID = emp.ID, 4: FullName = emp.LastName + ", " + emp.FirstName 5: }); A cleaner way to write this would be to give the appearance that the Select and Where methods were part of the IEnumerable<T>. This is exactly what extension methods give us. Extension methods have to be defined in a static class. Let us make the Select and Where extension methods on IEnumerable<T> 1: public static class MyExtensionMethods { 2: static IEnumerable<T> Where<T>(this IEnumerable<T> source, Func<T, bool> filter) { 3: foreach (var x in source) { 4: if (filter(x)) { 5: yield return x; 6: } 7: } 8: } 9: 10: static IEnumerable<TResult> Select<TSource, TResult>(this IEnumerable<TSource> source, Func<TSource, TResult> selector) { 11: foreach (var x in source) { 12: yield return selector(x); 13: } 14: } 15: } The creation of the extension method makes the syntax much cleaner as shown below. We can write as many extension methods as we want and keep on chaining them using this technique. 1: var formattedEmployees = employees 2: .Where(emp => emp.ID % 2 == 0) 3: .Select (emp => new EmployeeFormatted { ID = emp.ID, FullName = emp.LastName + ", " + emp.FirstName }); Making these changes and running our code produces the same result. 1: using System; 2: using System.Collections.Generic; 3:  4: public class Program 5: { 6: [STAThread] 7: static void Main(string[] args) 8: { 9: var employees = new List<Employee> { 10: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 11: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 12: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 13: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 14: }; 15:  16: var formattedEmployees = employees 17: .Where(emp => emp.ID % 2 == 0) 18: .Select (emp => 19: new EmployeeFormatted { 20: ID = emp.ID, 21: FullName = emp.LastName + ", " + emp.FirstName 22: } 23: ); 24:  25: foreach (EmployeeFormatted emp in formattedEmployees) { 26: Console.WriteLine("ID {0} Full_Name {1}", 27: emp.ID, emp.FullName); 28: } 29: Console.ReadLine(); 30: } 31: } 32:  33: public static class MyExtensionMethods { 34: static IEnumerable<T> Where<T>(this IEnumerable<T> source, Func<T, bool> filter) { 35: foreach (var x in source) { 36: if (filter(x)) { 37: yield return x; 38: } 39: } 40: } 41: 42: static IEnumerable<TResult> Select<TSource, TResult>(this IEnumerable<TSource> source, Func<TSource, TResult> selector) { 43: foreach (var x in source) { 44: yield return selector(x); 45: } 46: } 47: } 48:  49: public class Employee { 50: public int ID { get; set;} 51: public string FirstName { get; set;} 52: public string LastName {get; set;} 53: public string Country { get; set; } 54: } 55:  56: public class EmployeeFormatted { 57: public int ID { get; set; } 58: public string FullName {get; set;} 59: } Let’s change our code to return a collection of anonymous types and get rid of the EmployeeFormatted type. We see that the code produces the same output. 1: using System; 2: using System.Collections.Generic; 3:  4: public class Program 5: { 6: [STAThread] 7: static void Main(string[] args) 8: { 9: var employees = new List<Employee> { 10: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 11: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 12: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 13: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 14: }; 15:  16: var formattedEmployees = employees 17: .Where(emp => emp.ID % 2 == 0) 18: .Select (emp => 19: new { 20: ID = emp.ID, 21: FullName = emp.LastName + ", " + emp.FirstName 22: } 23: ); 24:  25: foreach (var emp in formattedEmployees) { 26: Console.WriteLine("ID {0} Full_Name {1}", 27: emp.ID, emp.FullName); 28: } 29: Console.ReadLine(); 30: } 31: } 32:  33: public static class MyExtensionMethods { 34: public static IEnumerable<T> Where<T>(this IEnumerable<T> source, Func<T, bool> filter) { 35: foreach (var x in source) { 36: if (filter(x)) { 37: yield return x; 38: } 39: } 40: } 41: 42: public static IEnumerable<TResult> Select<TSource, TResult>(this IEnumerable<TSource> source, Func<TSource, TResult> selector) { 43: foreach (var x in source) { 44: yield return selector(x); 45: } 46: } 47: } 48:  49: public class Employee { 50: public int ID { get; set;} 51: public string FirstName { get; set;} 52: public string LastName {get; set;} 53: public string Country { get; set; } 54: } To be more expressive, C# allows us to write our extension method calls as a query expression. Line 16 can be rewritten a query expression like so: 1: var formattedEmployees = from emp in employees 2: where emp.ID % 2 == 0 3: select new { 4: ID = emp.ID, 5: FullName = emp.LastName + ", " + emp.FirstName 6: }; When the compiler encounters an expression like the above, it simply rewrites it as calls to our extension methods.  So far we have been using our extension methods. The System.Linq namespace contains several extension methods for objects that implement the IEnumerable<T>. You can see a listing of these methods in the Enumerable class in the System.Linq namespace. Let’s get rid of our extension methods (which I purposefully wrote to be of the same signature as the ones in the Enumerable class) and use the ones provided in the Enumerable class. Our final code is shown below: 1: using System; 2: using System.Collections.Generic; 3: using System.Linq; //Added 4:  5: public class Program 6: { 7: [STAThread] 8: static void Main(string[] args) 9: { 10: var employees = new List<Employee> { 11: new Employee { ID = 1, FirstName = "John", LastName = "Wright", Country = "USA" }, 12: new Employee { ID = 2, FirstName = "Jim", LastName = "Ashlock", Country = "UK" }, 13: new Employee { ID = 3, FirstName = "Jane", LastName = "Jackson", Country = "CHE" }, 14: new Employee { ID = 4, FirstName = "Jill", LastName = "Anderson", Country = "AUS" } 15: }; 16:  17: var formattedEmployees = from emp in employees 18: where emp.ID % 2 == 0 19: select new { 20: ID = emp.ID, 21: FullName = emp.LastName + ", " + emp.FirstName 22: }; 23:  24: foreach (var emp in formattedEmployees) { 25: Console.WriteLine("ID {0} Full_Name {1}", 26: emp.ID, emp.FullName); 27: } 28: Console.ReadLine(); 29: } 30: } 31:  32: public class Employee { 33: public int ID { get; set;} 34: public string FirstName { get; set;} 35: public string LastName {get; set;} 36: public string Country { get; set; } 37: } 38:  39: public class EmployeeFormatted { 40: public int ID { get; set; } 41: public string FullName {get; set;} 42: } This post has shown you a basic overview of LINQ to Objects work by showning you how an expression is converted to a sequence of calls to extension methods when working directly with objects. It gets more interesting when working with LINQ to SQL where an expression tree is constructed – an in memory data representation of the expression. The C# compiler compiles these expressions into code that builds an expression tree at runtime. The provider can then traverse the expression tree and generate the appropriate SQL query. You can read more about expression trees in this MSDN article.

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  • Parameterized SQL statements vs. very simple method

    - by Philipp G
    When I started to write the first SQL-Statements in my programs I felt quite comfortable with protecting myself against SQL-Injection with a very simple method that a colleague showed me. It replaced all single quotes with two single quotes. So for example there is a searchfield in which you can enter a customername to search in the customertable. If you would enter Peter's Barbershop The SELECT Statement would look like SELECT * FROM Customers WHERE Customername = 'Peter''s Barbershop' If now an attacker would insert this: ';DROP TABLE FOO; -- The statement would look like: SELECT * FROM Customers WHERE Customername = ''';DROP TABLE FOO;--' It would not drop any table, but search the customertable for the customername ';DROP TABLE FOO;-- which, I suppose, won't be found ;-) Now after a while of writing statements and protecting myself against SQL-Injection with this method, I read that many developers use parameterized statements, but I never read an article where "our" method was used. So definitely there is a good reason for it. What scenarios would parameterized statements cover but our method doesn't? What are the advantages of parameterized statements compared to our method? Thanks Philipp

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  • When *not* to use prepared statements?

    - by Ben Blank
    I'm re-engineering a PHP-driven web site which uses a minimal database. The original version used "pseudo-prepared-statements" (PHP functions which did quoting and parameter replacement) to prevent injection attacks and to separate database logic from page logic. It seemed natural to replace these ad-hoc functions with an object which uses PDO and real prepared statements, but after doing my reading on them, I'm not so sure. PDO still seems like a great idea, but one of the primary selling points of prepared statements is being able to reuse them… which I never will. Here's my setup: The statements are all trivially simple. Most are in the form SELECT foo,bar FROM baz WHERE quux = ? ORDER BY bar LIMIT 1. The most complex statement in the lot is simply three such selects joined together with UNION ALLs. Each page hit executes at most one statement and executes it only once. I'm in a hosted environment and therefore leery of slamming their servers by doing any "stress tests" personally. Given that using prepared statements will, at minimum, double the number of database round-trips I'm making, am I better off avoiding them? Can I use PDO::MYSQL_ATTR_DIRECT_QUERY to avoid the overhead of multiple database trips while retaining the benefit of parametrization and injection defense? Or do the binary calls used by the prepared statement API perform well enough compared to executing non-prepared queries that I shouldn't worry about it? EDIT: Thanks for all the good advice, folks. This is one where I wish I could mark more than one answer as "accepted" — lots of different perspectives. Ultimately, though, I have to give rick his due… without his answer I would have blissfully gone off and done the completely Wrong Thing even after following everyone's advice. :-) Emulated prepared statements it is!

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  • Some Adsense domain's ads are causing document.write() statements that remove the html from the page

    - by er1234
    All that is output on the page is the domain name of the advertiser, for example 'www.solar-aid.org'. The rest of the content is stripped, I believe because of a document.write() statement. I'd like to know if this is a common issue or something wrong with our setup. There are three domains causing the issue, which we've blocked from Adsense as a result. solar-aid.org kiva.org grameenfoundation.org Given the type of organizations I think they may be within the default group of 'public service ads' within the Backup Ads setting. If the issue doesn't completely resolve itself soon (one customer of ours complained today, even though I blocked them 5+ days ago), I'll disable public service ads and select the 'fill space with a solid color' option.

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  • Generate DROP statements for all extended properties

    - by jamiet
    This evening I have been attempting to migrate an existing on-premise database to SQL Azure using the wizard that is built-in to SQL Server Management Studio (SSMS). When I did so I received the following error: The following objects are not supported = [MS_Description] = Extended Property Evidently databases containing extended properties can not be migrated using this particular wizard so I set about removing all of the extended properties – unfortunately there were over a thousand of them so I needed a better way than simply deleting each and every one of them manually. I found a couple of resources online that went some way toward this: Drop all extended properties in a MSSQL database by Angelo Hongens Modifying and deleting extended properties by Adam Aspin Unfortunately neither provided a script that exactly suited my needs. Angelo’s covered extended properties on tables and columns however I had other objects that had extended properties on them. Adam’s looked more complete but when I ran it I got an error: Msg 468, Level 16, State 9, Line 78 Cannot resolve the collation conflict between "Latin1_General_100_CS_AS" and "Latin1_General_CI_AS" in the equal to operation. So, both great resources but I wasn’t able to use either on their own to get rid of all of my extended properties. Hence, I combined the excellent work that Angelo and Adam had provided in order to manufacture my own script which did successfully manage to generate calls to sp_dropextendedproperty for all of my extended properties. If you think you might be able to make use of such a script then feel free to download it from https://skydrive.live.com/redir.aspx?cid=550f681dad532637&resid=550F681DAD532637!16707&parid=550F681DAD532637!16706&authkey=!APxPIQCatzC7BQ8. This script will remove extended properties on tables, columns, check constraints, default constraints, views, sprocs, foreign keys, primary keys, table triggers, UDF parameters, sproc parameters, databases, schemas, database files and filegroups. If you have any object types with extended properties on them that are not in that list then consult Adam’s aforementioned article – it should prove very useful. I repeat here the message that I have placed at the top of the script: /* This script will generate calls to sp_dropextendedproperty for every extended property that exists in your database. Actually, a caveat: I don't promise that it will catch each and every extended property that exists, but I'm confident it will catch most of them! It is based on this: http://blog.hongens.nl/2010/02/25/drop-all-extended-properties-in-a-mssql-database/ by Angelo Hongens. Also had lots of help from this: http://www.sqlservercentral.com/articles/Metadata/72609/ by Adam Aspin Adam actually provides a script at that link to do something very similar but when I ran it I got an error: Msg 468, Level 16, State 9, Line 78 Cannot resolve the collation conflict between "Latin1_General_100_CS_AS" and "Latin1_General_CI_AS" in the equal to operation. So I put together this version instead. Use at your own risk. Jamie Thomson 2012-03-25 */ Hope this is useful to someone! @Jamiet

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  • Bash arrays and case statements - review my script

    - by Felipe Alvarez
    #!/bin/bash # Change the environment in which you are currently working. # Actually, it calls the relevant 'lettus.sh' script if [ "${BASH_SOURCE[0]}" == "$0" ]; then echo "Try running this as \". chenv $1\"" exit 0 fi usage(){ echo "Usage: . ${PROG} -- Shows a list of user-selectable environments." echo " . ${PROG} [env] -- Select environment." echo " . ${PROG} -h -- Shows this usage screen." return } showEnv(){ # check if index0 exists, assume we have at least the first (zeroth) element #if [ -z "${envList}" ]; then if [ -z "${envList[0]}" ]; then echo "array \$envList is empty! " >&2 return 1 fi # Show all elements in array (0 -> n-1) for i in $(seq 0 $((${#envList[@]} - 1))); do echo ${envList[$i]} done return } setEnv(){ if [ -z "$1" ]; then usage; return fi case $1 in cold) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_cold.sh;; coles) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_coles.sh;; fc) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_fc.sh;; fcrm) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_fcrm.sh;; stable) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_stable.sh;; tip) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_tip.sh;; uat) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_uat.sh;; wellmdc) FILE_TO_SOURCE=/u2/tip/conf/ctrl/lettus_wellmdc.sh;; *) usage; return;; esac if $IS_SOURCED; then echo "Environment \"$1\" selected." echo "Now sourcing file \"$FILE_TO_SOURCE\"..." . ${FILE_TO_SOURCE} return else return 1 fi } main(){ if [ -z "$1" ]; then showEnv; return fi case $1 in -h) usage;; *) setEnv $1;; esac return } PROG="chenv" # create array of user-selectable environments envList=( cold coles fc fcrm stable tip uat wellmdc ) main "$@" return If I could, I'd like to get some feedback on a better way to accomplish any of the following: run through the case statement make script trivally simple to maintain/upgrade/update

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  • How would you refactor nested IF Statements?

    - by saunderl
    I was cruising around the programming blogosphere when I happened upon this post about GOTO's: http://giuliozambon.blogspot.com/2010/12/programmers-tabu.html Here the writer talks about how "one must come to the conclusion that there are situations where GOTOs make for more readable and more maintainable code" and then goes on to show an example similar to this: if (Check#1) { CodeBlock#1 if (Check#2) { CodeBlock#2 if (Check#3) { CodeBlock#3 if (Check#4) { CodeBlock#4 if (Check#5) { CodeBlock#5 if (Check#6) { CodeBlock#6 if (Check#7) { CodeBlock#7 } else { rest - of - the - program } } } } } } } The writer then proposes that using GOTO's would make this code much easier to read and maintain. I personally can think of at least 3 different ways to flatten it out and make this code more readable without resorting to flow-breaking GOTO's. Here are my two favorites. 1 - Nested Small Functions. Take each if and its code block and turn it into a function. If the boolean check fails, just return. If it passes, then call the next function in the chain. (Boy, that sounds a lot like recursion, could you do it in a single loop with function pointers?) 2 - Sentinal Variable. To me this is the easyest. Just use a blnContinueProcessing variable and check to see if it is still true in your if check. Then if the check fails, set the variable to false. How many different ways can this type of coding problem be refactored to reduce nesting and increase maintainability?

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  • Readability of || statements

    - by Devin G Rhode
    On HTML5 Boilerplate they use this code for jQuery: <!-- Load jQuery with a protocol relative URL; fall back to local if offline --> <script src="//ajax.googleapis.com/ajax/libs/jquery/1.7.2/jquery.min.js"></scrip> <script>window.jQuery || document.write('<script src="js/libs/jquery-1.7.2.min.js"><\/script>')</script> The question is simple, what's more readable: if (!jQuery) document.write( -local jQuery- ); or window.jQuery || document.write( -local jQuery- );

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  • if/else statements or exceptions

    - by Thaven
    I don't know, that this question fit better on this board, or stackoverflow, but because my question is connected rather to practices, that some specified problem. So, consider an object that does something. And this something can (but should not!) can go wrong. So, this situation can be resolved in two way: first, with exceptions: DoSomethingClass exampleObject = new DoSomethingClass(); try { exampleObject.DoSomething(); } catch (ThisCanGoWrongException ex) { [...] } And second, with if statement: DoSomethingClass exampleObject = new DoSomethingClass(); if(!exampleObject.DoSomething()) { [...] } Second case in more sophisticated way: DoSomethingClass exampleObject = new DoSomethingClass(); ErrorHandler error = exampleObject.DoSomething(); if (error.HasError) { if(error.ErrorType == ErrorType.DivideByPotato) { [...] } } which way is better? In one hand, I heard that exception should be used only for real unexpected situations, and if programist know, that something may happen, he should used if/else. In second hand, Robert C. Martin in his book Clean Code Wrote, that exception are far more object oriented, and more simple to keep clean.

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  • MySQL CASE Statements in Multi-Aggregated Crosstab Columns

    Inserting additional columns to a crosstab query is less straightforward than adding row data, because SQL naturally groups data by rows. Moreover, the efficacy of the CASE statement within an aggregate function decreases in direct proportion to the complexity of the criteria. Read on to learn more...

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  • MySQL CASE Statements in Multi-Aggregated Crosstab Columns

    Inserting additional columns to a crosstab query is less straightforward than adding row data, because SQL naturally groups data by rows. Moreover, the efficacy of the CASE statement within an aggregate function decreases in direct proportion to the complexity of the criteria. Read on to learn more...

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  • Some Adsense domain's ads are causing document.write() statements that remove the html from the page

    - by er1234
    All that is output on the page is the domain name of the advertiser, for example 'www.solar-aid.org'. The rest of the content is stripped, I believe because of a document.write() statement. I'd like to know if this is a common issue or something wrong with our setup. There are three domains causing the issue, which we've blocked from Adsense as a result. solar-aid.org kiva.org grameenfoundation.org Given the type of organizations I think they may be within the default group of 'public service ads' within the Backup Ads setting. If the issue doesn't completely resolve itself soon (one customer of ours complained today, even though I blocked them 5+ days ago), I'll disable public service ads and select the 'fill space with a solid color' option.

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  • Statements of direction for EPM 11.1.1.x series products

    - by THE
    Some of the older parts of EPM that have been replaced with newer software will phase out after January 2013. For most of these the 11.1.1.x Series will be the last release. They will then only be supported via sustaining support (see policy). We have notes about: the Essbase Excel Add In (replaced by SmartView which nearly achieved functionality parity with release 11.1.2.1.102) Oracle Essbase Spreadsheet Add-in Statement of Direction (Doc ID 1466700.1) Hyperion Data Integration Management (replaced by Oracle Data Integrator ( ODI )) Hyperion Data Integration Management Statement of Direction (Doc ID 1267051.1) Hyperion Enterprise and Enterprise Reporting (replaced by HFM) Hyperion Enterprise and Hyperion Enterprise Reporting Statement of Direction (Doc ID 1396504.1) Hyperion Business Rules (replaced by Calculation Manager) Hyperion Business Rules Statement of Direction (Doc ID 1448421.1) Oracle Visual Explorer (this one phased out in June 11 already - just in case anyone missed it) Oracle Essbase Visual Explorer Statement of Direction (Doc ID 1327945.1) For a complete list of the Supported Lifetimes, please review the "Oracle Lifetime Support Policy for Applications"

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  • Single or multiple return statements in a function [on hold]

    - by Juan Carlos Coto
    When writing a function that can have several different return values, particularly when different branches of code return different values, what is the cleanest or sanest way of returning? Please note the following are really contrived examples meant only to illustrate different styles. Example 1: Single return def my_function(): if some_condition: return_value = 1 elif another_condition: return_value = 2 else: return_value = 3 return return_value Example 2: Multiple returns def my_function(): if some_condition: return 1 elif another_condition: return 2 else: return 3 The second example seems simpler and is perhaps more readable. The first one, however, might describe the overall logic a bit better (the conditions affect the assignment of the value, not whether it's returned or not). Is the second way preferable to the first? Why?

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  • Powershell: If statements dependent on installed exchange role

    - by marc dekeyser
    Something I need to keep for usage in the future:$hostname=hostnameIf (get-exchangeserver $hostname | where {$_.isClientAccessServer -eq $true})    {    } else {    }    If (get-exchangeserver $hostname | where {$_.isHubTransportServer -eq $true})    {    } else {    }If (get-exchangeserver $hostname | where {$_.isMailboxServer -eq $true})    {    } else {    }If (get-exchangeserver $hostname | where {$_.isUnifiedMessagingServer -eq $true})    {    } else {    }If (get-exchangeserver $hostname | where {$_.isEdgeServer -eq $true})    {    } else {    }

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  • What are the statements in XNA?

    - by Katie Hajduk
    A hypothetical game called “AlienShooter” needs to be able to work on Windows and on the Xbox. In the Windows version, the keyboard will handle firing at alien spaceships, and this functionality is contained within a method called “KeyboardSupport()”. In the Xbox version of the game, the gamepad will be used for shooting, and this functionality is contained within a method called “GamepadSupport()”. Write the statement(s) that must be added so that the appropriate code is used in the each version of the game.

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  • Avoid Code Repetition in Condition Statements

    - by Ethosik
    I have been programming for over 15 years now. I consider myself a very good programmer, but I understand (like all of us) there are things that I need to work on. One of these things is code repetition when dealing with conditions. I will give a generic sample: if(condition1) { //perform some logic if(condition2) { //perform some logic if(condition3) { //Perform logic } else { //MethodA(param) } } else { //MethodA(param) } } else { //MethodA() } Now, I cannot make it easy by doing the following: if(condition1 && condition2) { } else { } I cannot do this since I need to perform some logic if condition1 is true and before I test condition2. Is there a way to structure if...else blocks to where if you need to call a method in each else blocks, you are not repeating yourself?

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  • Practice of checking 'trueness' or 'equality' in conditional statements - does it really make sense?

    - by Senthil
    I remember many years back, when I was in school, one of my computer science teachers taught us that it was better to check for 'trueness' or 'equality' of a condition and not the negative stuff like 'inequality'. Let me elaborate - If a piece of conditional code can be written by checking whether an expression is true or false, we should check the 'trueness'. Example: Finding out whether a number is odd - it can be done in two ways: if ( num % 2 != 0 ) { // Number is odd } or if ( num % 2 == 1 ) { // Number is odd } When I was beginning to code, I knew that num % 2 == 0 implies the number is even, so I just put a ! there to check if it is odd. But he was like 'Don't check NOT conditions. Have the practice of checking the 'trueness' or 'equality' of conditions whenever possible.' And he recommended that I use the second piece of code. I am not for or against either but I just wanted to know - what difference does it make? Please don't reply 'Technically the output will be the same' - we ALL know that. Is it a general programming practice or is it his own programming practice that he is preaching to others?

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  • Practice of checking 'trueness' or 'equality' of conditional statements - does it really make sense?

    - by senthilkumar1033
    I remember many years back, when I was in school, one of my computer science teachers taught us that it was better to check for 'trueness' or 'equality' of a condition and not the negative stuff like 'inequality'. Let me elaborate - If a piece of conditional code can be written by checking whether an expression is true or false, we should check the 'trueness'. Example: Finding out whether a number is odd - it can be done in two ways: if ( num % 2 != 0 ) { // Number is odd } or if ( num % 2 == 1 ) { // Number is odd } When I was beginning to code, I knew that num % 2 == 0 implies the number is even, so I just put a ! there to check if it is odd. But he was like 'Don't check NOT conditions. Have the practice of checking the 'trueness' or 'equality' of conditions whenever possible.' And he recommended that I use the second piece of code. I am not for or against either but I just wanted to know - what difference does it make? Please don't reply 'Technically the output will be the same' - we ALL know that. Is it a general programming practice or is it his own programming practice that he is preaching to others?

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  • Refactoring method with many conditional return statements

    - by MC.
    Hi, I have a method for validation that has many conditional statements. Basically it goes If Check1 = false return false If Check2 = false return false etc FxCop complains that the cyclomatic complexity is too high. I know that it is not best practice to have return statements in the middle of functions, but at the same time the only alternative I see is an ugly list of If-else statements. What is the best way to approach this? Thanks in advance.

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  • Where do DQL statements live in an application that is using Zend Framework and Doctrine

    - by Dewayne
    In an application that is using Zend Framework 1.10 and Doctrine 1.2, where should the DQL statements live if our application is built such that it has a Service Layer and a Gateway(aka Doctrine_Table) layer. It seems that our possibilities include: 1) Placing the DQL statements in the Service layer which seems to be a bit too high in our application hierarchy to store DQL. 2) Placing the DQL statements within each model's Table/Gateway which seems a bit redundant because we also need to expose the DQL statements that do things such as getAllUsers() through the Service layer. Which of these is a preferable design? We intend to make use of the Service layer as much as possible so that other projects might consume various parts of our application.

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