- Published on
A Composite Index combines two or more columns into a single index to speed up queries filtering or sorting by multiple fields. Column order matters, and the index supports queries starting with the leftmost column(s).
All Posts
All Posts
- system-design (153)
- system-design-interview (42)
- database (34)
- interview-prep (30)
- low-level-design (22)
- oop (15)
- databases (15)
- normalization (10)
- misc (10)
- networking (9)
- golang (9)
- load-balacing (9)
- distributed-systems (8)
- caching (8)
- indexes (8)
- data-structures (7)
- erd (7)
- uml (6)
- solid (6)
- messaging (6)
- theorem (6)
- security (6)
- oop-pillars (5)
- data-partitioning (5)
- data-modeling (4)
- functional-dependency (4)
- bloom-filters (4)
- cdn (4)
- (4)
- programming (3)
- scalability (3)
- relational-data-model (3)
- dbms (3)
- distributed-file-system (3)
- recovery (3)
- replication (3)
- proxy (3)
- dns (3)
- api-gateway (3)
- algorithms (2)
- searching-algorithms (2)
- relational-model (2)
- oop-principle (2)
- check-sum (2)
- redundancy (2)
- system-designs (1)
- tiny-url (1)
- load-balancing (1)
- performance (1)
- course (1)
- sorting-algorithms (1)
- arrays (1)
- slices (1)
- typescript (1)
- leetcode (1)
- binary-search (1)
- problem-solving (1)
- strings (1)
- go-command (1)
- history (1)
- setup (1)
- hello-world (1)
- trade-offs (1)
- er-diagram (1)
- integrity-constraints (1)
- armstrong-axioms (1)
- oop-relationship (1)
- tips (1)
- batch-processing (1)
- streams (1)
- synchronous (1)
- asynchronous (1)
- leader-follower (1)
- architectural-pattern (1)
- heart-beat (1)
- quorum (1)
- error-handling (1)
- high-availability (1)
- concurrency (1)
- observability (1)
- monitoring (1)
- availability (1)
- key-concepts (1)
- load-balacing-uses (1)
- load-balacing-algorithms (1)
- Published on
Understand the internal architecture of a distributed file system (DFS), including key components like metadata servers, data nodes, replication mechanisms, and a real-world example using Hadoop HDFS.- Published on
Checksums play a key role in data integrity, error detection, secure storage, and password verification. They help detect corrupted data, verify downloads, secure passwords, and prevent duplicates in storage systems.- Published on
Understand the difference between Long-Polling, WebSockets, and Server-Sent Events (SSE) for real-time client-server communication. Learn with simple points, examples, and use cases.- Published on
A Unique Index enforces distinct values in a column, preventing duplicates while speeding up queries. It's ideal for fields like email or username, ensuring data accuracy with minimal impact on read performance.