#Sql Postgresql Tutorial

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#Sql Postgresql Tutorial Reel by @morethancodebase (verified account) - PostgreSQL uses MVCC (Multi-Version Concurrency Control) to handle concurrency. Instead of updating rows in place, every UPDATE creates a new row vers
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@morethancodebase
PostgreSQL uses MVCC (Multi-Version Concurrency Control) to handle concurrency. Instead of updating rows in place, every UPDATE creates a new row version, while the old one is just marked invalid. These invalid but still stored rows are called dead rows (dead tuples). They stay on disk and keep consuming space. PostgreSQL cleans them using Autovacuum, a background process that removes dead rows and makes space reusable. Autovacuum runs when the number of dead rows crosses a threshold based on table size, not on time. But in write-heavy systems, if the write rate becomes higher than the garbage-collection (vacuum) rate, dead rows accumulate, tables bloat, and performance starts degrading. #database #scaling #systemdesign #distributedsystems #softwarearchitecture
#Sql Postgresql Tutorial Reel by @alex_pro_ai - Comment "Postgres" to get the code! In this reel, I show how to build a simple REST API using Node.js, Express, and PostgreSQL. We connect to Postgre
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@alex_pro_ai
Comment “Postgres” to get the code! In this reel, I show how to build a simple REST API using Node.js, Express, and PostgreSQL. We connect to Postgres with a connection pool, create a clean /users endpoint, and return data as JSON. Perfect if you’re learning backend development or want a minimal, real-world API example 🚀
#Sql Postgresql Tutorial Reel by @codewithupasana - PostgreSQL vs MySQL 👀 One is strict, powerful & feature-rich. One is fast, simple & production-proven. Choosing the wrong one won't crash your app…
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@codewithupasana
PostgreSQL vs MySQL 👀 One is strict, powerful & feature-rich. One is fast, simple & production-proven. Choosing the wrong one won’t crash your app… But it might kill your scalability. Save this before your next system design round. 🚀 #PostgreSQL #MySQL #SQL #BackendDevelopment SystemDesign Databases SoftwareEngineer TechContent CodingLife Developer
#Sql Postgresql Tutorial Reel by @dhruvtechbytes (verified account) - After Postgres 18, your cache layer might just become optional • Threads don't wait on blocking I/O anymore • Records are fetched together, not one-
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@dhruvtechbytes
After Postgres 18, your cache layer might just become optional • Threads don’t wait on blocking I/O anymore • Records are fetched together, not one-by-one • Faster data access = less dependency on external caching Database just got smarter ⚡ #postgresql #database #SystemDesign #engineers [tech, system design, databases, developers, Postgresql, caching, redis]
#Sql Postgresql Tutorial Reel by @bhadreshpatels - Don't forget to check out this simulation that shows how you can handle 800 million users with the help of PostgreSQL If you want the simulation and
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@bhadreshpatels
Don’t forget to check out this simulation that shows how you can handle 800 million users with the help of PostgreSQL If you want the simulation and full article, comment “Link.” See, Our main goal is to keep the primary server healthy (green). Now let’s suppose I add new features to my business. Obviously, traffic will increase, and you won’t be able to handle everything at once, so somehow you may miss some users right. For that here, are the 4 solution that you need to check out. 1. PgBouncer will reduces memory and manage connections efficiently. 2. With the help of this Replicas this blue server can handles 80% of read traffic. 3. Cache locking prevents overload and allows only one update at a time. 4. Sharding splits write pressure across databases. So, With this architecture, systems like ChatGPT can scale to hundreds of millions of users. Comment “Link” if you want a blog and this simulations.
#Sql Postgresql Tutorial Reel by @yako_tek - PostgreSQL Explained: More Than Just a Database
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@yako_tek
PostgreSQL Explained: More Than Just a Database
#Sql Postgresql Tutorial Reel by @dsa.in.seconds - Prefix Sum sounds complicated, but it's actually very simple. It just means: 👉 keep track of the sum of elements so far At every index, you ask one
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@dsa.in.seconds
Prefix Sum sounds complicated, but it’s actually very simple. It just means: 👉 keep track of the sum of elements so far At every index, you ask one question: “Have I seen (currentSum − k) before?” If yes, that means a subarray with sum k exists. That’s it. No window shifting. No guessing. No special cases for negative numbers. This pattern is used in: • Subarray sum problems • Counting subarrays • Many interview questions Once this clicks, a lot of DSA problems become easier. Save this reel. Next, we’ll use this idea to count subarrays. For educational & entertainment purposes only. 🏷️ Hashtags — Reel #4 #dsa #prefixsum #leetcode #codinginterview #programming #cpp #datastructures #algorithms #interviewprep #codingreels
#Sql Postgresql Tutorial Reel by @building_saas - 100 Million Rows We reduced query time by over 92% #webdeveloper 😳 (Partitioning Explained) #DatabaseOptimization #PostgreSQL #TechReels #Programming
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@building_saas
100 Million Rows We reduced query time by over 92% #webdeveloper 😳 (Partitioning Explained) #DatabaseOptimization #PostgreSQL #TechReels #Programming
#Sql Postgresql Tutorial Reel by @deepchandoa.ai - 🧠 Yes they absolutely can👍🏻 In PostgreSQL a schema is just a namespace inside a database. So you can have schema1.users and schema2.users in the s
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@deepchandoa.ai
🧠 Yes they absolutely can👍🏻 In PostgreSQL a schema is just a namespace inside a database. So you can have schema1.users and schema2.users in the same database without any issue. - Now the real question is what happens when you run select * from users; - How does Postgres know which one to pick??? 1️⃣ It uses something called search_path. search_path is basically an ordered list of schemas. 2️⃣ PostgreSQL checks them one by one in that order and picks the first table that matches the name. If it does not find any match you get relation does not exist. This is where many production bugs happen. Your table exists but your search_path is pointing somewhere else. 🧠 Best practice in serious backend systems always use fully qualified names like schema1.users or carefully control search_path at the role level. If you’re serious about building a career in AI, I’ll personally guide you. 🤝 1:1 mentorship - link in bio. Comment "Interested" if you want to learn about AI Engineering. Like, Share and Follow for more !! And save this reel for later :) #backend #postgres #softwaredeveloper #aiengineer #database

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