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    Current Subject
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    Enterprise Application Development
    EC-332
    Progress0 / 37 topics
    Topics
    1. Overview of Enterprise Application Development: Microsoft technology history2. Introduction to .NET and its architecture3. Concept of MSIL, CLR, CLS, CTS4. Introduction to .NET framework: Managed and Unmanaged Code5. .Net Assembly6. Introduction to C# fundamentals7. Boxing and Unboxing8. Implementing multi-tier architecture9. Introduction to ADO.Net: SQL Injection, parameterized queries10. Usage of data set, Data adapter and command builder in disconnected model11. Introduction to delegate: Multicast delegates12. Introduction to windows forms13. HTML14. Introduction to javascript: javascript and its data types, variables, functions15. Debugging javascript using Firebug16. Introduction to various object models: Browser's Object (BOM), Document Object Model17. Introduction to Jquery: Jquery effects18. Introducing LINQ: LINQ to Objects, LINQ to SQL19. Query syntax, Operations (projection, filtering and join) using Linq Queries20. Introduction to ADO.NET entity framework: The entity data model, CSDL21. Eager vs lazy loading, POCO classes, DBContext API22. Querying entity data models23. Introduction to ASP.NET MVC24. MVC application structure, Controllers overview25. Action Methods, Parameterized action methods26. Introduction to razor syntax27. Code expressions, Code Blocks, Implicit Vs Explicit Code Expression28. Data annotations, Client and Server Side Validation29. Validation and model binding, Validation and model state30. MVC Membership, Authorization and security31. Introduction to service-oriented architecture: SOAP, WSDL32. Service contract, Data contract, XML, WCF bindings33. ABC of WCF, Restful services34. Consuming rest services (CRUD operations) using Jquery AJAX and JSON35. Introduction to web API36. Example of web API using CRUD Example37. MVC routing
    EC-332›Introducing LINQ: LINQ to Objects, LINQ to SQL
    Enterprise Application DevelopmentTopic 18 of 37

    Introducing LINQ: LINQ to Objects, LINQ to SQL

    7 minread
    1,198words
    Intermediatelevel

    Introduction to LINQ (Language Integrated Query)

    LINQ (Language Integrated Query) is a feature in .NET that allows you to query collections of data (such as arrays, lists, databases, XML, etc.) using a consistent syntax directly in C# (or any other .NET language). It enables querying data from different data sources in a declarative manner, without needing to write complex SQL-like queries or use different technologies for different types of data.

    With LINQ, you can write queries directly in your C# code in a way that integrates naturally with the language. This results in cleaner, more readable, and more maintainable code. LINQ provides a set of methods and operators for querying and manipulating data from various sources.

    Key Features of LINQ:

    • IntelliSense Support: Since LINQ is integrated into the language, it offers full support for autocompletion, type checking, and refactoring via IntelliSense in IDEs like Visual Studio.
    • Declarative Syntax: LINQ provides a declarative query syntax that is simpler and more readable than traditional imperative approaches (like loops or explicit SQL).
    • Strong Typing: Since LINQ queries are part of C#, they benefit from strong typing and compile-time checking.
    • Deferred Execution: LINQ queries are executed only when the data is actually needed. This allows for efficient data processing and can improve performance.

    LINQ to Objects

    LINQ to Objects allows you to query in-memory collections like arrays, lists, and other IEnumerable<T> types using LINQ syntax. This is the simplest form of LINQ, where the data is already available in memory, and you're applying queries directly to those collections.

    Basic Syntax of LINQ to Objects

    You can write LINQ queries in two ways: using Query Syntax (similar to SQL) or Method Syntax (using LINQ extension methods).

    1. Query Syntax (SQL-like)

    using System;
    using System.Linq;
    using System.Collections.Generic;
    
    class Program
    {
        static void Main()
        {
            // Sample collection of integers
            List<int> numbers = new List<int> { 1, 2, 3, 4, 5, 6, 7, 8, 9 };
    
            // LINQ Query Syntax
            var evenNumbers = from n in numbers
                              where n % 2 == 0
                              select n;
    
            foreach (var num in evenNumbers)
            {
                Console.WriteLine(num);
            }
        }
    }
    

    In the above code, the query from n in numbers where n % 2 == 0 select n finds all even numbers from the numbers collection.

    2. Method Syntax

    using System;
    using System.Linq;
    using System.Collections.Generic;
    
    class Program
    {
        static void Main()
        {
            // Sample collection of integers
            List<int> numbers = new List<int> { 1, 2, 3, 4, 5, 6, 7, 8, 9 };
    
            // LINQ Method Syntax
            var evenNumbers = numbers.Where(n => n % 2 == 0);
    
            foreach (var num in evenNumbers)
            {
                Console.WriteLine(num);
            }
        }
    }
    

    Here, the Where() method is used to filter even numbers from the list. You can chain multiple LINQ methods like Where(), Select(), OrderBy(), etc., to form complex queries.


    Common LINQ Methods in LINQ to Objects

    1. Where(): Filters elements based on a condition.

      var filtered = numbers.Where(n => n > 5);
      
    2. Select(): Projects each element into a new form (mapping).

      var squares = numbers.Select(n => n * n);
      
    3. OrderBy(): Sorts the elements in ascending order.

      var sorted = numbers.OrderBy(n => n);
      
    4. GroupBy(): Groups elements based on a key.

      var grouped = numbers.GroupBy(n => n % 2 == 0);
      
    5. First(), Last(): Returns the first or last element in a collection.

      var firstEven = numbers.First(n => n % 2 == 0);
      
    6. Aggregate(): Applies a function to accumulate values.

      var sum = numbers.Aggregate((x, y) => x + y);
      
    7. Any(), All(): Checks if any or all elements satisfy a condition.

      var anyEven = numbers.Any(n => n % 2 == 0);
      

    LINQ to SQL

    LINQ to SQL is a feature in .NET that allows you to query relational databases using LINQ syntax. It enables you to work with SQL databases like SQL Server in an object-oriented manner by mapping database tables to classes, which simplifies data access and manipulation.

    How LINQ to SQL Works

    • Entities: You define your database structure in the form of classes (called entities). Each class represents a database table.
    • DataContext: The DataContext class is used to interact with the database and execute LINQ queries. It allows you to work with tables in a database like they are collections in C#.

    Steps for Using LINQ to SQL:

    1. Define the DataContext: First, you need to create a DataContext class that is connected to your database.
    2. Define the Classes for Tables: You create classes that map to the database tables (this can be done automatically via tools like the Visual Studio Designer).
    3. Query the Database: You can use LINQ queries to query data from the database using the same LINQ syntax as with objects.

    Example of LINQ to SQL:

    using System;
    using System.Linq;
    using System.Data.Linq;
    
    class Program
    {
        static void Main()
        {
            // Assuming you have a LINQ to SQL DataContext for the database (e.g., NorthwindDB)
            var context = new NorthwindDataContext();
    
            // Querying the database using LINQ to SQL
            var customers = from customer in context.Customers
                            where customer.Country == "USA"
                            select customer;
    
            foreach (var customer in customers)
            {
                Console.WriteLine($"Customer: {customer.CompanyName}");
            }
        }
    }
    

    In this example, the NorthwindDataContext represents the database, and the Customers table is queried to find all customers in the USA.


    Advantages of LINQ to SQL:

    1. Strongly Typed: LINQ to SQL provides strongly-typed objects, which allows for compile-time checking of queries.
    2. No Need for SQL Strings: You don't need to write SQL queries as strings. LINQ queries are part of the code and benefit from IntelliSense, making the code more maintainable and error-free.
    3. Simplified Data Access: It abstracts the complexities of database interactions and allows you to focus on the application logic.
    4. Automatic Object-Relational Mapping (ORM): LINQ to SQL automatically maps tables in the database to C# classes, reducing the need for manual data conversion.

    Important Considerations for LINQ to SQL:

    • Deferred Execution: LINQ to SQL queries use deferred execution, which means the query is executed when the data is actually needed, not when the query is defined.
    • No Support for Complex Joins: While LINQ to SQL is good for basic operations, it doesn't handle very complex SQL queries as efficiently as raw SQL.
    • Entity Framework (EF): LINQ to SQL is somewhat limited when compared to Entity Framework (EF), which is a more powerful ORM and has replaced LINQ to SQL for most new .NET applications.

    Conclusion

    • LINQ to Objects is a powerful way to query in-memory collections in C# using a declarative syntax, making it easier to manipulate data without writing complex loops or imperative code.
    • LINQ to SQL allows you to interact with relational databases like SQL Server using LINQ syntax, eliminating the need for writing raw SQL queries and making database interactions simpler and more maintainable.

    Both LINQ to Objects and LINQ to SQL allow developers to write cleaner, more efficient, and strongly-typed queries in their applications, improving readability and reducing errors in data handling.

    Previous topic 17
    Introduction to Jquery: Jquery effects
    Next topic 19
    Query syntax, Operations (projection, filtering and join) using Linq Queries

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      Est. reading time7 min
      Word count1,198
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      DifficultyIntermediate