Most devs use dotnetfiddle.net for quick syntax checks. Turns out it can also run code against a real database - no connection string therapy required. dotnetfiddle's Database Template gives you a pre-wired DB environment right in the browser. You pick a template, get a seeded database, and write EF or raw SQL like you would locally - minus the 20 minutes of setup and existential dread. Microsoft added EF support to fiddle back when "just spin up a SQL Server locally" was still a perfectly reasonable thing to say. --- var pending = db.Tasks .Where(t => !t.Done) .ToList(); foreach (var t in pending) Console.WriteLine($"Still pending: {t.Name}"); --- Your to-do list has never looked so queryable. Try it yourself (no setup required): https://lnkd.in/eF9FDA3Z #dotnet #csharp #programming #entityframework
Run Code Against a Real Database on dotnetfiddle.net
More Relevant Posts
-
LINQ vs. foreach: Which one should you reach for? In .NET development, choosing between a classic foreach loop and a LINQ query is common. Both work but the right choice depends on the goal. Use LINQ when: Filtering or searching data (Where) Transforming data (Select) Writing clean, declarative, and readable code Use foreach when: Performing actions (DB calls, logging, updates) Debugging step-by-step logic Working in performance-critical paths Tip: Use LINQ to fetch and shape data, then use foreach to execute logic on the result. Best of both worlds. #DotNet #CSharp #CodingTips #SoftwareEngineering #LINQ
To view or add a comment, sign in
-
🎯LINQ- Language Integrated Query, or LINQ, is a Microsoft programming technique which serves as a .NET language extension that allows for data retrieval from various sources, including collections, XML documents, and databases. ✅ Here’s why it’s so useful: 👉Much easier than writing manual for or foreach loops. 👉No need to manually create temp lists 👉Powerful filtering, sorting, and projection 👉Safer querying (with methods like FirstOrDefault) 👉Works with any collection 👉Errors are caught at compile time #csharp #dotnet #softwaredevelopment #softwareengineering #programing
To view or add a comment, sign in
-
-
📊 𝐒𝐭𝐨𝐫𝐞𝐝 𝐏𝐫𝐨𝐜𝐞𝐝𝐮𝐫𝐞𝐬, 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 & 𝐩𝐚𝐜𝐤𝐚𝐠𝐞𝐬 𝐢𝐧 𝐏𝐋/𝐒𝐐𝐋 𝐒𝐭𝐨𝐫𝐞𝐝 𝐏𝐫𝐨𝐜𝐞𝐝𝐮𝐫𝐞𝐬 ➡️ are named PL/SQL blocks that perform a specific task. They help in: ✔ Reusability of code ✔ Better performance (compiled once, reused many times) ✔ Reduced network traffic 👉 Think of them as reusable “actions” you can execute whenever needed. 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 ➡️ are similar to procedures but with one key difference: 👉 They must return a value Used mainly for: ✔ Calculations ✔ Data transformations ✔ Returning single values in SQL queries ⚡ Functions can be directly used inside SQL statements, unlike procedures. 𝐩𝐚𝐜𝐤𝐚𝐠𝐞𝐬 ➡️ are like containers that group related procedures, functions, variables, and cursors together. They consist of: 📌 Specification – Declares what is accessible 📌 Body – Defines how it works Benefits: ✔ Modular programming ✔ Improved performance (loaded once in memory) ✔ Better security & encapsulation #PLSQL #OracleDB #DatabaseProgramming #SQL #StoredProcedures #Functions #Packages #Coding #Learning #TechSkills
To view or add a comment, sign in
-
🚨 A small mistake that can cost you HOURS (or even days) of debugging… If you’re using LINQ and trusting it blindly — stop for a second. Here’s the reality 👇 You write a LINQ query. You run it. You run it again. Same result. Looks correct, right? ✅ But then… something feels off 🤔 So you take that exact logic and test it in SQL… 💥 Boom — completely different result. Yeah. Been there. The problem? LINQ isn’t SQL. It translates to SQL — and sometimes not the way you expect. ⚠️ Things that can go sideways: • Complex joins behaving differently • Grouping that doesn’t match SQL logic • Null handling surprises • Hidden transformations under the hood And the worst part? It won’t throw an error. It’ll just quietly give you the wrong data 😬 🔥 What I do now (and you should too): 👉 Step 1: Write & test the query in SQL 👉 Step 2: Validate edge cases (nulls, duplicates, joins) 👉 Step 3: THEN convert it into LINQ 👉 Step 4: Compare results — don’t assume 💡 Rule of thumb: SQL = Source of truth LINQ = Convenience layer Don’t debug blindly. Verify intentionally. Trust me — this habit will save you more time than any debugger ever will 💯 #Developers #Programming #DotNet #SQL #LINQ #CodingTips #Debugging:
To view or add a comment, sign in
-
-
Understanding ADO.NET Legacy still stands. The core data access technology in .NET that allows applications to connect to databases and execute SQL commands. "Key Concepts": ✔ SqlConnection – connects to database ✔ SqlCommand – executes SQL queries ✔ SqlDataReader – fast, forward-only data reading ✔ DataSet / DataAdapter – disconnected data handling *The progress i got Using wraps for Ado .net with custom libraries makes clean code reduce boiler plate and simple reusability Why it matters: ADO.NET gives full control over database operations and is the foundation for tools like Dapper and Entity Framework. #DotNet #ADONET #BackendDevelopment #SoftwareEngineering #LearningJourney
To view or add a comment, sign in
-
-
9 Advanced SQL Window Function Tricks Most Developers Miss Most SQL developers are comfortable with functions like RANK(). But there are a few powerful window function techniques that rarely get discussed - and they can significantly improve how you write queries. In this presentation, I’ve covered: • The hidden default frame that can break your running totals • Why ROWS is often safer than RANGE • The EXCLUDE clause that almost no one talks about • Using FILTER() for cleaner conditional aggregation • Why LAST_VALUE() often gives unexpected results • How to chain window functions correctly using CTEs • Practical performance considerations when using window functions These are not just optimizations - they help you write more accurate, readable, and efficient SQL. I’ve kept the content concise and visual for easy understanding. Which of these concepts was new or most surprising to you? #SQL #DataAnalytics #DataEngineering #Programming #LearnSQL #CareerGrowth
To view or add a comment, sign in
-
Exploring MySQL Stored Procedures through a different lens ✍️ I recently created this hand-drawn, architectural-style infographic to break down one of the most powerful features in SQL—Stored Procedures (SP). Instead of just reading documentation, I mapped everything visually: • Syntax & structure using "DELIMITER //" • Parameters: IN, OUT, INOUT • Variable declarations • Control flow (IF-ELSE, CASE, loops) • Error handling with handlers This approach helped me understand not just how stored procedures work, but why they matter—modularity, performance, and cleaner database logic. Sometimes, slowing down and sketching concepts like a developer’s notebook makes complex topics much easier to grasp. If you're learning SQL or backend development, try turning concepts into visual notes—it’s a game changer. #MySQL #SQL #WebDevelopment #BackendDevelopment #Database #Programming #LearningJourney #DeveloperNotes #100DaysOfCode
To view or add a comment, sign in
-
-
Stop confusing WHERE and HAVING in your SQL queries. 🛑 Many developers treat them as interchangeable, but their timing is everything. Understanding the execution order is the secret to writing efficient, error-free code. Here is the breakdown of the "Great Filter Split": 🔹 WHERE (Pre-Aggregation): This is your first line of defense. It filters raw, individual rows before any grouping happens. If you want to exclude specific records from the start, use WHERE. 🔹 HAVING (Post-Aggregation): This is the final filter. It acts on the summarized results after the GROUP BY clause. Use this when you need to filter based on aggregate values like SUM, AVG, or COUNT. The Golden Rule: If you’re filtering rows, use WHERE. If you’re filtering groups, use HAVING. The image will Demonstrate everything about WHERE clause and HAVING clause. #SQL #DataAnalytics #DataEngineering #CodingTips #Database #Programming
To view or add a comment, sign in
-
-
Subqueries in SQL can be confusing at first 🤯 In this video, I explain them in a simple and practical way using real examples. We cover: What is a Subquery Single-row vs Multiple-row Subqueries Using operators like ALL and ANY Practical examples to understand the concept step by step The goal is to make SQL easier and more practical for beginners. 🎥 Watch the video here: https://lnkd.in/d27tq7vu I’d love to hear your feedback 💙 #SQL #Databases #BackendDevelopment #Learning #Programming
تعلم Subquery في SQL بسهولة
https://www.youtube.com/
To view or add a comment, sign in
-
🗄️ An Introduction to SQL SQL (Structured Query Language) is the standard language for managing and manipulating relational databases. It allows you to create, read, update, and delete data (CRUD operations) in a structured way. ✅ Schemas & basics ✅ Basic CRUD ✅ SELECT basics ✅ JOINs ✅ Aggregation & GROUP BY ✅ Subqueries & CTEs ✅ Window functions ✅ Transactions & concurrency ✅ Indexes & performance Save & share with your team! Download Our Free Full-Stack Developer Starter Kit ➡️ https://buff.ly/JbI0Qof --- If you found this guide helpful, follow TheDevSpace | Dev Roadmap, w3schools.com, and JavaScript Mastery for more tips, tutorials, and cheat sheets on web development. Let's stay connected! 🚀 #SQL #Databases #Query #Postgres #MySQL
To view or add a comment, sign in
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development