SQL CASE Statement Evaluates Only First TRUE Condition

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

Continuing my SQL learning journey, I explored advanced database concepts beyond basic queries .. 📌 Topics I practiced: 🔹 DDL (Data Definition Language) CREATE, ALTER, DROP, TRUNCATE Table structure modifications 🔹 DML (Data Manipulation Language) INSERT, UPDATE, DELETE, SELECT Working with real data operations 🔹 TCL (Transaction Control Language) Transactions using START TRANSACTION, SAVEPOINT, ROLLBACK, COMMIT 🔹 DCL (Data Control Language) User management with CREATE USER, GRANT, REVOKE 🔹 Constraints & Relationships PRIMARY KEY, FOREIGN KEY, CHECK, DEFAULT CASCADE operations 🔹 String & Numeric Functions String: UPPER, LOWER, CONCAT, TRIM, REPLACE Numeric: ROUND, CEILING, FLOOR, ABS, POWER, SQRT Advanced logic using CASE. Would love your feedback 🙌 Which SQL topic should I explore next..? #SQL #DataAnalytics #Learning #Database #Tech #Beginner #Coding

Programming is logic transferred into code. It's like a puzzle; you assemble, adjust, redo, and slowly a structure appears. SQL is the purest form of this. There are no libraries to shortcut the thinking. No copy-paste tricks to fake understanding. You build every query from the ground up, and your logic is right there on the page. That's why I think SQL is one of the best languages to truly learn how to think with data. #SQL #DataAnalytics #DataScience

🚀 Day 29/30 Days of My SQL Problem Solving Challenge 🔍 Problem: Average Time of Process per Machine -Find the average processing time for each machine. -Each process has a start and end timestamp, and the goal is to compute the average time taken per process for every machine. 🧠 Approach -Joined the table with itself on machine_id and process_id -Matched start rows with corresponding end rows -Calculated processing time using end_time - start_time -Used AVG() to compute average per machine and ROUND() for formatting 💡 Key Learning -Importance of pairing related rows (start ↔ end) before aggregation -Avoiding incorrect logic like SUM(end) - SUM(start) -Using self JOIN for event-based problems #SQL #LeetCode #DataAnalytics #CodingJourney #SDE #DailyPractice

🚀 Mastering SQL from Basics to Advanced 💻 Covered 100+ essential SQL concepts—from fundamentals like Database, Keys & Joins to advanced topics like Window Functions, CTEs, Query Optimization & Real-time Scenarios. 📌 Key Highlights: ✔ SQL Commands (DDL, DML, TCL, DCL) ✔ Joins, Subqueries & Normalization ✔ Indexing & Performance Optimization ✔ Real-world SQL Interview Questions Consistency + Practice = SQL Mastery 🔥 All credit goes to the original creater of the material. Feel free to Repost & Follow Himansh S. for more helpful resources. DM me for more helpful resources. #SQL #DataAnalytics #Database #Learning #TechSkills #CareerGrowth #InterviewPrep #DataScience #Programming #Developer

🚨 SQL is not just a language… It’s how you think with data 💡 Most people learn queries ❌ But struggle with real problems 😓 📘 This cheat sheet covers: ✔ Basics (SELECT, WHERE) ✔ Aggregations & Filtering ✔ JOINS & CTEs ✔ Window Functions ✔ Real query patterns 💡 Truth: Master SQL patterns → solve real data problems 🚀 📌 Save this for revision 💬 Which SQL concept do you use most? #SQL #DataAnalytics #DataAnalyst #Programming #TechSkills #CareerGrowth

🚨 SQL is not just a language… It’s how you think with data 💡 Most people learn queries ❌ But struggle with real problems 😓 📘 This cheat sheet covers: ✔ Basics (SELECT, WHERE) ✔ Aggregations & Filtering ✔ JOINS & CTEs ✔ Window Functions ✔ Real query patterns 💡 Truth: Master SQL patterns → solve real data problems 🚀 📌 Save this for revision 💬 Which SQL concept do you use most? #SQL #DataAnalytics #DataAnalyst #Programming #TechSkills #CareerGrowth

📝 Deep Dive into SQL Fundamentals. Data is only as good as the way you manage it. I’ve been documenting the core principles of Structure Query Language (SQL)—from basic syntax to advanced database relationships. My latest notes cover: 🔹 CURD Operations (Create, Update, READ, Drop). 🔹 Relational Keys (Primary vs. Foreign). 🔹 Logical Operators for precise data retrieval. Always learning, always growing. 📈 #SoftwareEngineering #SQL #Database #Programming #Notes #LearningJourney

Day 27/30 – SQL Challenge 🚀 Today’s challenge was all about identifying prime numbers using SQL — not something you see every day in database queries! Instead of traditional programming, I used recursive queries and logical filtering to: Generate numbers up to a limit Check divisibility conditions Filter out non-prime numbers Present results in a single line using a custom separator (&) 💡 Key takeaway: SQL isn’t just for data retrieval — with the right approach, it can handle complex logical problems too. This challenge really helped me think beyond basic queries and explore the power of recursive CTEs and conditional logic. #SQL #DataEngineering #ProblemSolving #30DaysOfSQL #LearningJourney

🚀 Day 16/30 – SQL Challenge 🔹 Problem: Find the first year each product was sold along with its details. 🔹 Approach: Used MIN(year) with a JOIN to get the correct records. Also explored using ROW_NUMBER(). 🔹 Learning: Avoid tuple IN queries and prefer JOINs or window functions for better results. #SQL #LeetCode #Day16 #CodingJourney #ProblemSolving #SDE