Cassandra easy
Cassandra offers 'Tunable Consistency'. What does this allow developers to do at the application level?
- A Choose the level of consistency (e.g., strong vs. eventual) on a per-query basis based on the specific business requirement.
- B Manually tune the electrical voltage of the server's CPU to save energy during low traffic.
- C Write code that automatically rewrites itself to be more consistent over time.
- D Force the database to use a different programming language for its internal logic.
Answer: A. Choose the level of consistency (e.g., strong vs. eventual) on a per-query basis based on the specific business requirement.
This is a powerful feature. You can use 'QUORUM' for critical financial transfers (ensuring strong consistency) but use 'ONE' for social media comments (prioritizing ultra-low latency). You tune the consistency to match the budget of your specific use case.
One system design question a day, with spaced repetition so the ones you miss come back.
Get the appRelated questions
- In a Cassandra Keyspace, what does a 'Replication Factor of 3' specifically guarantee for your data redundancy?
- Unlike a Leader-Follower architecture (like MySQL or Redis), how does Cassandra maintain high availability within its node cluster?
- Cassandra Query Language (CQL) looks similar to SQL. What is a fundamental SQL feature that CQL does NOT support to ensure distributed performance?
- What is the critical architectural function of the 'Partition Key' in a Cassandra table?
- Apache Cassandra is fundamentally designed as which architectural category of NoSQL database?
- An extreme financial trading application requires 'Batch' sync for the Commit Log. What is the fundamental throughput limitation introduced by this setting?