#Cte In Sql

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#Cte In Sql Reels - @googlefordevs (onaylı hesap) tarafından paylaşılan video - This SQL query looks completely reasonable. It filters out banned and inactive users. Yet the result might catch you off guard. What does it actually
26.4K
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@googlefordevs
This SQL query looks completely reasonable. It filters out banned and inactive users. Yet the result might catch you off guard. What does it actually return?
#Cte In Sql Reels - @hustleuphoney tarafından paylaşılan video - Day 15/21 - SQL Challenge (Revision Day)

Today was all about revising key SQL patterns and reinforcing concepts through mixed problems.

• LC 550 - G
7.6K
HU
@hustleuphoney
Day 15/21 – SQL Challenge (Revision Day) Today was all about revising key SQL patterns and reinforcing concepts through mixed problems. • LC 550 – Game Analysis IV: Used date comparison logic to calculate player retention based on consecutive login days. • SS 10350 – Users by Avg Session Time: Calculated average session duration per user using aggregation and time difference logic. • SS 10142 – Customers with No Orders: Solved using LEFT JOIN and null filtering to identify customers without any orders. • SS 2097 – Premium Account: Used conditional aggregation to compare premium vs non-premium user behavior. • LC 1484 – Group Products Sold by Date: Grouped products by sell date and used aggregation to list products sold each day. • DL – Tweets Rolling Average: Applied window functions to calculate rolling averages over time. • LC 626 – Exchange Seats (Revision): Revisited odd/even swap logic and handled edge cases cleanly. • LC 1789 – Primary Department for Each Employee (Revision): Handled single vs multiple department scenarios using count and primary flag logic. Key learning: Revision helps connect patterns—most SQL problems reuse the same core ideas.
#Cte In Sql Reels - @door2dev tarafından paylaşılan video - Can You Solve This SQL Recursion Problem? 😈🔥

Recursive queries in SQL confuse most developers 🤯 

But once you understand them, advanced queries b
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@door2dev
Can You Solve This SQL Recursion Problem? 😈🔥 Recursive queries in SQL confuse most developers 🤯 But once you understand them, advanced queries become easy 😎 In this video, I explain SQL recursion using Recursive CTE step by step. You’ll learn: ✔️ What is Recursive CTE ✔️ How base case works ✔️ How recursion builds rows ✔️ How to stop infinite loops ✔️ Real interview use cases If you’re preparing for SQL interviews, this is a must-watch 🚀 Save this video 📌 Follow @Door2Dev for daily SQL tips 💙 #sql #postgresql #cte #recursion #codinginterview
#Cte In Sql Reels - @engineeringmarathi tarafından paylaşılan video - 🧠 SQL Subquery MCQs That Kill Confusion 😈

4️⃣9️⃣ Which operator returns TRUE only if all values match?
✅ ALL
👉 Condition must satisfy every value
15.7K
EN
@engineeringmarathi
🧠 SQL Subquery MCQs That Kill Confusion 😈 4️⃣9️⃣ Which operator returns TRUE only if all values match? ✅ ALL 👉 Condition must satisfy every value returned 🔥 5️⃣0️⃣ A correlated subquery executes? ✅ For each row of outer query 👉 Runs again & again per row 😳 (performance impact!) 5️⃣1️⃣ Which subquery depends on outer query? ✅ Correlated subquery 👉 Inner query references outer query columns 🔗 😵 Subqueries look simple… logic isn’t. 💬 Comment your score: 0/3 | 1/3 | 2/3 | 3/3 👥 Tag a friend scared of correlated subqueries 😅 ❤️ Save this for SQL interview prep ➡️ Follow for daily SQL MCQs & placement content #SQLMCQs #SQLReels #Subquery #SQLInterview #DatabaseConcepts CodingReels PlacementPreparation DeveloperLife 🚀
#Cte In Sql Reels - @shorttrick5928 tarafından paylaşılan video - 🚀 𝐃𝐀𝐘 𝟏𝟓 - 𝐒𝐐𝐋 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐒𝐞𝐫𝐢𝐞𝐬

Simple question… but many get confused 👀

👉 𝐖𝐡𝐢𝐜𝐡 𝐒𝐐𝐋 𝐜𝐥𝐚𝐮𝐬𝐞
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@shorttrick5928
🚀 𝐃𝐀𝐘 𝟏𝟓 – 𝐒𝐐𝐋 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐒𝐞𝐫𝐢𝐞𝐬 Simple question… but many get confused 👀 👉 𝐖𝐡𝐢𝐜𝐡 𝐒𝐐𝐋 𝐜𝐥𝐚𝐮𝐬𝐞 𝐢𝐬 𝐮𝐬𝐞𝐝 𝐭𝐨 𝐜𝐨𝐦𝐛𝐢𝐧𝐞 𝐫𝐨𝐰𝐬 𝐟𝐫𝐨𝐦 𝐭𝐰𝐨 𝐭𝐚𝐛𝐥𝐞𝐬? A. MERGE B. JOIN C. CONNECT D. UNION ALL No Google. No hints. Think like a real developer 👨‍💻 👇 Comment your answer: A / B / C / D 📌 Follow @𝐒𝐡𝐨𝐫𝐭𝐭𝐫𝐢𝐜𝐤 for daily SQL interview challenges 📌 Save this for revision before your interview #SQLInterview #SQLChallenge #LearnSQL #SQLMCQ #SQLQueries #Database #DBMS #DataAnalyst #SQLDeveloper #BackendDeveloper #CodingLife #DeveloperLife #InterviewPrep
#Cte In Sql Reels - @engineeringmarathi tarafından paylaşılan video - 🧠 SQL MCQs That Separate Average from Advanced 😈

4️⃣3️⃣ EXISTS checks?
✅ Row existence
👉 Returns TRUE if subquery returns at least one row 🔥

4️⃣
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@engineeringmarathi
🧠 SQL MCQs That Separate Average from Advanced 😈 4️⃣3️⃣ EXISTS checks? ✅ Row existence 👉 Returns TRUE if subquery returns at least one row 🔥 4️⃣4️⃣ Faster for large data? ✅ EXISTS 👉 Stops scanning once match is found ⚡ 👉 Often better than IN for big datasets 😏 4️⃣5️⃣ Can subquery be used in SELECT? ✅ Yes 👉 Scalar subqueries inside SELECT are valid 👀 😳 Small keyword… massive performance difference 💬 Comment your score: 0/3 | 1/3 | 2/3 | 3/3 👥 Tag a friend who always uses IN 😅 ❤️ Save this for SQL interview prep ➡️ Follow for daily SQL MCQs & placement content #SQLMCQs #SQLReels #Subquery #SQLInterview #DatabaseConcepts CodingReels PlacementPreparation DeveloperLife 🚀
#Cte In Sql Reels - @engineeringmarathi tarafından paylaşılan video - 🧠 SQL MCQs That Interviewers Love to Ask 😈

5️⃣5️⃣ Does a View store data physically?
❌ No
👉 It's a virtual table
👉 Data stays in original tables
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@engineeringmarathi
🧠 SQL MCQs That Interviewers Love to Ask 😈 5️⃣5️⃣ Does a View store data physically? ❌ No 👉 It’s a virtual table 👉 Data stays in original tables 🔥 5️⃣6️⃣ Which clause is mandatory in SELECT? ✅ FROM 👉 Without FROM… no table to fetch data from 😏 5️⃣7️⃣ Which MySQL function converts NULL to a value? ✅ IFNULL() 👉 Replaces NULL with a default value ⚡ 😳 Tiny concepts… huge interview impact 💬 Comment your score: 0/3 | 1/3 | 2/3 | 3/3 👥 Tag a friend who forgets IFNULL 😅 ❤️ Save this for SQL revision ➡️ Follow for daily SQL MCQs & placement prep #SQLMCQs #SQLReels #MySQL #SQLInterview #DatabaseConcepts CodingReels PlacementPreparation DeveloperLife 🚀
#Cte In Sql Reels - @engineeringmarathi tarafından paylaşılan video - 🧠 SQL MCQs That Every Fresher Must Know 😈

5️⃣2️⃣ Which keyword returns unique rows?
✅ DISTINCT
👉 Removes duplicate records instantly 🔥

5️⃣3️⃣ Vi
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@engineeringmarathi
🧠 SQL MCQs That Every Fresher Must Know 😈 5️⃣2️⃣ Which keyword returns unique rows? ✅ DISTINCT 👉 Removes duplicate records instantly 🔥 5️⃣3️⃣ View is a? ✅ Virtual table 👉 Doesn’t store data physically 👉 Shows data from original tables 👀 5️⃣4️⃣ Which command creates a view? ✅ CREATE VIEW 👉 Saves complex queries for reuse ⚡ 😳 Small keywords… big database impact 💬 Comment your score: 0/3 | 1/3 | 2/3 | 3/3 👥 Tag a friend who forgets DISTINCT 😅 ❤️ Save this for SQL interview revision ➡️ Follow for daily SQL MCQs & placement prep #SQLMCQs #SQLReels #DatabaseConcepts #SQLInterview #LearnSQL CodingReels PlacementPreparation DeveloperLife 🚀
#Cte In Sql Reels - @dataengnotebook tarafından paylaşılan video - 3 Consecutive Same Numbers - Not as Easy as It Looks!

This is where SQL becomes real analytical thinking 🔥

At first glance, you might try:
GROUP BY
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@dataengnotebook
3 Consecutive Same Numbers — Not as Easy as It Looks! This is where SQL becomes real analytical thinking 🔥 At first glance, you might try: GROUP BY num HAVING COUNT(*) >= 3 ❌ But that won’t guarantee they are consecutive. The real trick? 👇 ✔ Use LAG() ✔ Use LEAD() ✔ Compare previous + next rows Because consecutive means sequence logic — not just count. This question tests: 🔹 Window functions 🔹 Sequential pattern detection 🔹 Interview-level problem solving Master this and streak-based problems become easy 🚀 #SQLInterview #WindowFunctions #AdvancedSQL #LearnSQL #DataEngineering
#Cte In Sql Reels - @hustleuphoney tarafından paylaşılan video - Day 21/21 - SQL Challenge (Final Day)

Wrapped up the challenge with a mix of ranking, retention, distribution, and business logic problems.

• SS 200
166.1K
HU
@hustleuphoney
Day 21/21 – SQL Challenge (Final Day) Wrapped up the challenge with a mix of ranking, retention, distribution, and business logic problems. • SS 2007 – Rank Variance Per Country: Used window functions to rank records within each country and calculated the difference between rankings to measure variance. • DL – Histogram of Users and Purchases: Grouped users by purchase count and calculated frequency distribution to generate histogram-style output. • DL – Active User Retention: Compared user activity across consecutive days to calculate retention rate using date logic and aggregation. • DL – Well Paid Employees: Joined employee and department data and filtered employees earning more than department average. • LC SQL50 (2 Questions): Practiced core patterns like joins, filtering, and aggregation from the SQL50 set to strengthen fundamentals. • DL – SuperCloud Customer: Used grouping and conditional aggregation to identify customers meeting product usage criteria. Key learning from 21 Days: Most SQL problems repeat the same core ideas — joins, window functions, aggregation, filtering, and clear thinking. Consistency > complexity. 21 days done. On to bigger goals 🚀
#Cte In Sql Reels - @dataxodyssey tarafından paylaşılan video - Drop your answer in the comments below! 

If you're right, tag a friend who needs to level up their SQL game. Wrong? No worries - I'll reveal the answ
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@dataxodyssey
Drop your answer in the comments below! If you're right, tag a friend who needs to level up their SQL game. Wrong? No worries – I'll reveal the answer later. Pro Tip: Mastering SQL can skyrocket your tech career. Follow for daily coding tips, quizzes, and hacks to become a database wizard! 💻🔥 #SQLQuiz #SQL #Database #Programming #TechTips CodingQuiz LearnSQL DeveloperLife DataScience TechCommunity InstaTech CodeWithMe SQLCommands TechHacks
#Cte In Sql Reels - @zeroonecamp tarafından paylaşılan video - Most people think these two are the same.

They're not.

RANK()
→ Same rank for ties
→ Skips numbers

DENSE_RANK()
→ Same rank for ties
→ No gaps

Sam
79
ZE
@zeroonecamp
Most people think these two are the same. They’re not. RANK() → Same rank for ties → Skips numbers DENSE_RANK() → Same rank for ties → No gaps Same data. Same order. Different outcomes. This is the kind of detail that separates someone who writes SQL from someone who understands SQL. Save this — you’ll need it. #SQL #DataAnalytics #WindowFunctions #TechLearning #BuildInPublic

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#Cte In Sql dünyasında neler viral? En çok izlenen Reels videoları ve viral içerikler yukarıda yer alıyor. Yaratıcı hikaye anlatımını, popüler anları ve dünya çapında milyonlarca görüntüleme alan içerikleri keşfetmek için galeriyi inceleyin.

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