Split Queries: Stop the Data Traffic Jam in EF Core
Picture this: You’re hosting a dinner party, and instead of serving everyone a delicious buffet, you deliver each dish one at a time to every guest. When dessert arrives, everyone’s too tired (or annoyed) to enjoy it. My friends, this is the problem with single queries in EF Core when they fetch complex relationships. Enter Split Queries, the life of your EF Core dinner party.
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FromSql: Writing SQL Like a Boss in EF Core
So, you’ve embraced Entity Framework Core, and life’s been good. No more handcrafting SQL for every little query. But what happens when EF Core’s LINQ magic isn’t entirely cutting it? Maybe you need something specific, like a stored procedure or a complex SQL query that LINQ doesn’t handle elegantly. That’s where FromSql swoops in to save the day.
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Compiled Models: The Fast Lane for EF Core Performance
Let’s talk about startup time. Not the Silicon Valley kind, but the time it takes for your EF Core app to boot up, stretch its legs, and actually start handling requests. If your app is dragging its feet like a teenager on a Monday morning, you need a secret weapon: Compiled Models.
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DbContext Pooling: The Secret Sauce to Faster EF Core Apps
Imagine you’re running a restaurant. Every time a customer orders, you buy a brand-new frying pan, use it once, and toss it out. Sounds absurd, right? But that’s essentially what happens in EF Core when you create a new DbContext for every request. It’s wasteful, slow, and totally unnecessary. Enter DbContext Pooling: the genius way to reuse those frying pans—err, contexts—and turbocharge your app’s performance.
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Announcing My New Book: htmx Essentials for ASP.NET Core Developers
As a developer, you know the web development landscape constantly evolves, and staying ahead means embracing tools and practices that simplify and enhance how we build applications. That’s why I’m thrilled to announce my latest project: “htmx Essentials for ASP.NET Core Developers.”
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Rust’s Superpower: Speed Meets Smarts
Regarding speed and efficiency, Rust doesn’t just run the race—it leaves other languages eating its dust. Built for blazing performance and low-level control, Rust’s unique features make it a standout choice for projects where every millisecond and megabyte count. Let’s dive into why Rust is the Usain Bolt of programming languages and how it stacks up in the performance department.
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Level Up Your Skills: Learning Rust as a C# Dev
Switching from C# to Rust can feel like stepping into a new world. Suddenly, you’re dealing with ownership, borrowing, and a compiler that’s as strict as your high school math teacher. But don’t worry—you’ve got this. With the right mindset, some practical tips, and a few helpful resources, you’ll go from a Rust rookie to a Rustacean in no time. Let’s dive in!
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Building with .NET and Rust: A Tale of Two Ecosystems
Programming ecosystems are like bustling cities. .NET is the metropolis with skyscrapers and a thriving business district, while Rust is the up-and-coming tech hub—small but mighty, with startups everywhere. Both offer incredible opportunities, but their vibes are very different. So, let’s grab a coffee and tour these two dynamic ecosystems!
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Threads, Tasks, and Ownership: C# and Rust Concurrency Explored
Concurrency in programming can be like cooking dinner while answering emails—you’re juggling multiple tasks at once, hoping nothing burns. C# and Rust both tackle concurrency, but their approaches couldn’t be more different. C# offers a traditional multitasking toolkit with threads and async/await, while Rust rewrites the rulebook with a compiler-enforced, fearless concurrency model. Let’s see how they compare!
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Memory Wars: Garbage Collection in C# vs. Ownership in Rust
Regarding memory management, programming languages take different approaches to ensure your applications don’t crash and burn. Think of it as cleaning up after a party: C# hires a janitor (garbage collector) to tidy up for you while Rust hands you a checklist and says, “You’ve got this.” Both methods work, but they have their quirks. Let’s dive into how memory is handled in these two languages and what makes each approach unique.
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