Temel Kavramlar
The CAP theorem states that a distributed system can only provide two out of the three guarantees: Consistency, Availability, and Partition Tolerance.
Özet
The CAP theorem is a fundamental concept in distributed systems and databases. It describes the three key properties that a distributed system can have: Consistency, Availability, and Partition Tolerance. The theorem states that a distributed system can only provide two out of these three guarantees simultaneously.
Consistency means that all nodes in the system see the same data at the same time. Availability ensures that every request to the system receives a response, though it may not contain the most recent data. Partition Tolerance allows the system to continue operating even if communication among the nodes is unreliable, with some messages being lost or delayed.
The CAP theorem helps us understand the trade-offs in designing and using distributed systems. For example, a system that provides Consistency and Partition Tolerance (CP) may have to compromise on Availability. Conversely, a system that prioritizes Availability and Partition Tolerance (AP) may have to tolerate some data inconsistency.
Different databases are designed with various CAP guarantees. MongoDB is a CP database, while Cassandra is an AP database. However, the CAP theorem is a simplification and does not cover all aspects of the design space, such as latency. The choice of a database should be based on the specific use case, data characteristics, and application requirements, rather than solely on the CAP theorem.
İstatistikler
The CAP theorem states that a distributed system can only provide two out of the three guarantees: Consistency, Availability, and Partition Tolerance.
Different databases are designed with various CAP guarantees, such as MongoDB being a CP database and Cassandra being an AP database.
Alıntılar
"The CAP theorem is essential because it helps us understand the trade-offs in designing and using distributed systems."
"When network partitions are a reality, choosing availability might mean tolerating some data inconsistency while opting for consistency could lead to reduced availability."