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  Ever Wondered How to Traverse Organizational Trees in SQL? Whether it's Top-to-Bottom, Bottom-to-Top, or sorting using Sibling Order, mastering hierarchical queries can supercharge how you visualize and retrieve data from parent-child relationships. Here's a visual guide to: ✅ Syntax of each type ✅ Example output ✅ Tree structure interpretation ✅ Bonus: ORDER SIBLINGS BY in action. Note: ✔️ START WITH: Specifies the root node(s) of the hierarchy. ✔️CONNECT BY PRIOR: Defines the direction of traversal. ✔️LEVEL: A pseudocolumn indicating the depth of the node in the hierarchy. ✔️ORDER SIBLINGS BY: Sorts sibling rows (at the same level) based on one or more columns. Perfect for those working with org charts, BOMs, or reporting hierarchies in Oracle. Download the image, bookmark it, or share it with your team. Which type of hierarchical query do you use most in your day-to-day work? https://www.linkedin.com/feed/update/urn:li:groupPost:3920035-7317804121489641474?utm_source=soc...
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  Hierarchical Queries in Oracle SQL — Master the Tree-Like Power. Are you familiar with the power of START WITH and CONNECT BY PRIOR in Oracle SQL? Whether you're building organization charts, bill of materials, or analyzing nested relationships, hierarchical queries help you traverse from root to leaf (or vice versa) with ease. Learn how to: Traverse from Parent → Child (Top-down) Traverse from Child → Parent (Bottom-up) Maintain sibling order using ORDER SIBLINGS BY Use LEVEL to visualize hierarchy depth Check the visual breakdown attached for: Syntax Sample data Executed output 3 types of hierarchy traversals (with use-cases!) Have you used hierarchical queries in your projects? https://www.linkedin.com/feed/update/urn:li:groupPost:3920035-7317801098637946882?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAHUA7sBrzo1SCAyjeql1qiSe9GQS2mmWX4
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  CTE (Common Table Expression) in Oracle – Simplify Your SQL Like a Pro. Do you often write nested subqueries that are hard to read or reuse? Say hello to CTEs – the WITH clause in Oracle that makes your SQL more modular, readable, and maintainable. Whether it's breaking down complex logic or writing recursive queries, CTEs can be a game changer. Quick Example: WITH dept10_emps AS (SELECT emp_name, salary FROM employees WHERE dept_id = 10 ) SELECT * FROM dept10_emps WHERE salary > 5500; ✅ Cleaner logic ✅ Reusable result set ✅ Better performance tuning Do you use CTEs in production code? When do you prefer NOT to use them? Drop your thoughts, share examples, or ask questions below. Let’s make SQL code clean, clear, and powerful. https://www.linkedin.com/feed/update/urn:li:groupPost:3920035-7317773798315884544?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAHUA7sBrzo1SCAyjeql1qiSe9GQS2mmWX4
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  Are you confident with how correlated UPDATE, and DELETE work? Here’s a crisp, visual guide showing: ✅ Real-world examples ✅ Syntax breakdown ✅ Query results ✅ Why and when you'd use them Whether you're preparing for interviews or brushing up your database skills, this is a must-know SQL topic. 👇 Drop a 👍 if you found this useful or tag a PL/SQL developer who should see this. https://www.linkedin.com/feed/update/urn:li:groupPost:3920035-7317769441100902402?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAHUA7sBrzo1SCAyjeql1qiSe9GQS2mmWX4