🧩 Modern Database Concepts: ACID, BASE, CAP & Sharding
Databases are the backbone of modern applications. This post dives into ACID, BASE, CAP theorem, Hibernate, JDBC, and NoSQL concepts , with practical examples and tips for Java developers. 🚀 1. 🧩 Consistency Models: ACID vs BASE ACID (Relational Databases) ⚡ Atomicity: Each transaction is all-or-nothing. ⚡ Consistency: DB remains consistent after transactions. ⚡ Isolation: Transactions do not interfere concurrently. ⚡ Durability: Committed data persists. BASE (NoSQL / Distributed Systems) Basically Available Soft State Eventually Consistent 2. 🌐 CAP Theorem In a distributed system, when a partition occurs: ⚖️ Can only choose Consistency (C) or Availability (A) for the system. 💡 Example: Two nodes disconnected; you must either accept stale/inconsistent reads or deny availability. 3. 🏷 Indexes Indexes speed up queries by storing key info separately. CREATE INDEX index_name O...