Today’s Learning Update Learned about the secret to optimizing SQL queries — understanding SQL execution order: How SQL actually processes queries step by step Importance of filtering early to reduce data load Why joins, indexes, and query structure matter How better query understanding improves performance Realized that writing SQL is one thing, but understanding how it executes is what makes queries efficient #BackendLearning #SQL #Database #QueryOptimization #DailyLearning
SQL Query Optimization: Execution Order and Efficiency
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have you experience same while working in sql? Created database called revisesql I was running my query multiple times and didn’t realize the data was getting duplicated. Later I understood that I should clear the table or avoid running the same query again. Simple mistake, but a very useful learning. #LearningSQLthroughrealmistakesandfixes. #codebasicsbestteaching #codebasics #SQL #DataAnalytics #LearningJourney #Beginners #KaliyonaSQL #KaliyonaDataAnalytics ##KaliyonaWithGayathriBhat
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🚀 Understanding DDL in SQL (Data Definition Language) After learning SQL command classification, I explored DDL in detail. DDL is used to define and manage the structure of a database. It mainly focuses on creating and modifying database objects. 🔹 CREATE – To create the New tables or databases 🔹 ALTER – To modify the existing table structure 🔹 RENAME – To change the table or object name 🔹 DROP – To delete the tables and databases 🔹 TRUNCATE – To remove the data from the table DDL commands help in designing and organizing the database efficiently. Learning step by step is helping me build strong SQL fundamentals 💪 #SQL #DDL #Database #Learning #StudentLife
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As I continue my SQL learning journey, I moved beyond just creating tables to understanding how to modify and manage them effectively. This is done using DDL (Data Definition Language) commands. At first, it feels like just structural changes, but these commands play a huge role in maintaining and evolving a database. Here’s what I explored: • Using ALTER to add, modify, or delete columns • Using DROP to completely remove tables or databases • Using TRUNCATE to quickly delete all records while keeping the structure • Using RENAME to update table or column names And the most important part: If you execute a DDL command → It is auto-committed There’s no rollback → Changes are permanent Structure + Changes = A well-maintained database. Small step, but a very important one in understanding how databases evolve in real-world scenarios. Read here →https://lnkd.in/dkG_UWnG #DataAnalytics #SQL #DatabaseManagement
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💡SQL WHERE Clause Learning Today I spent some time revisiting one of the most basic yet powerful SQL concepts — WHERE clause. It looks simple, but in real production scenarios it makes a huge difference. Without WHERE → huge data retrieval With WHERE → precise and faster results While practicing queries, I realized that writing efficient filters helps reduce load on the database and improves performance. Sometimes the smallest SQL concepts create the biggest impact in real-time applications. Staying consistent with daily SQL practice and learning step by step. 💻 #SQL #Database #SQLLearning #ApplicationSupport #opentonewjobs
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🔴 LIVE: Learn DDL Commands in SQL 🔥 CREATE, ALTER, DROP | SQL Tutorial Want to master SQL DDL Commands in one live session? 🚀 Learn CREATE, ALTER, DROP with simple real-time examples! In this live stream, you will learn everything about SQL DDL commands including CREATE, ALTER, and DROP. This session is perfect for beginners who want to understand database structure and how to manage tables in SQL. https://lnkd.in/evNsQCfB #sql #DDLCommands #learnsql #sqltutorial #database #coding #tech #kaashivinfotech
🔴 LIVE: Learn DDL Commands in SQL 🔥 CREATE, ALTER, DROP | SQL Tutorial | Kaashiv Infotech SQL
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🚀 Day 1 of My SQL Learning Journey Today I learned the basics of the SELECT statement in SQL. 👉 SELECT is used to retrieve data from a database. Basic syntax: SELECT column_name FROM table_name; ✔ SELECT * → used to get all columns ✔ SELECT column_name → used to get specific data 💡 This is the first step to working with data and understanding databases. Excited to learn more! 🔥 Next: WHERE clause 👀 #SQL #LearningJourney #Beginner #DataAnalytics #Day1 #LearnInPublic
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🔥 SQL Execution Order – Most People Get This Wrong! We write SQL in one order, but the database executes it in a completely different order. This image explains the actual execution flow of a SQL query in a simple way 👇 Understanding this is key to writing efficient queries and debugging faster. #SQL #Database #DataEngineering #SQLDeveloper
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Day 25 of My SQL Study Today I learned about the SQL ANY operator, and it’s actually quite interesting. The ANY operator is used with a subquery and returns TRUE if any one of the values from the subquery meets the condition. In simple terms: If at least one value matches, the condition is TRUE. Basic Syntax SELECT column_name FROM table_name WHERE column_name operator ANY (subquery); Example: Imagine you have: A Products table An Orders table You want to find products that are priced higher than at least one ordered product. Query: SELECT product_name FROM Products WHERE price > ANY ( SELECT price FROM Orders ); This will return products whose price is greater than any one of the prices in the Orders table. A simple way to understand it ANY = at least one match is enough #SQL #SQLLearning #DataAnalytics #LearningInPublic #TechJourney #ContinuousLearning
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