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As developers, we often face decisions that affect how we interact with databases in our applications. One critical choice is whether to use an ORM (Object-Relational Mapping) tool or stick with traditional non-ORM methods like writing raw SQL queries or using query builders. Each approach has its advantages and disadvantages, and the decision depends on several factors, such as the complexity of the queries, project requirements, and the design of the database itself. In this guide, we’ll explore the key differences between ORM and non-ORM approaches, discuss when to use each, and highlight the pros and cons to help you make the right decision for your next project. What is an ORM? An ORM is a tool or library that allows developers to interact with a relational database using an object-oriented paradigm. It maps database tables to classes, rows to objects, and columns to attributes, allowing developers to work with data using their programming language’s syntax rather than writing SQL...

In modern application development, particularly in the context of database interactions, performance is critical. One common pitfall that developers face is the N+1 query problem. In this guide we will explore what N+1 queries are, why they occur, and how to mitigate their impact on application performance. What Are N+1 Queries? The term  N+1 query  refers to a specific type of performance issue that arises when an application executes one query to retrieve a list of records (the “N” part) and then performs an additional query for each record to fetch related data (the “+1” part). Example Scenario Imagine a scenario where you need to fetch a list of users along with their associated profile information. If you execute a query to fetch all users and then, for each user, execute another query to fetch their profile, you end up with a situation like this: 1 Query : Fetch all users. N Queries : Fetch the profile for each user. If there are 100 users, this results in  1 + 100 ...

In SQL Server, date and time management is essential for various applications, ranging from logging transactions to scheduling tasks. The  CONVERT()  function in MS SQL Server is a powerful tool for converting data types, especially when it comes to date and time formats. In this guide we will explore the  CONVERT()  function for DateTime conversion, guiding you through its usage, examples, and practical applications. Understanding the Basics The  CONVERT()  function in SQL Server is primarily used to convert an expression from one data type to another. The syntax for the  CONVERT()  function is as follows: CONVERT(data_type [ (length) ], expression [, style]) data_type  —   the target data type you want to convert to. length   — an optional parameter that defines the length of the target data type. expression  —the value or column you want to convert. style  — an optional parameter that specifies the format of the output....