Description: The action of ‘repairing’ in the context of distributed databases refers to correcting inconsistencies in data that may arise between replicas in a cluster. Distributed databases, like Cassandra, store multiple copies of data across different nodes to ensure availability and fault tolerance. However, due to the distributed nature of the system, discrepancies in data stored across different replicas can occur. These inconsistencies may result from various situations, such as network failures, synchronization issues, or write conflicts. Repairing is a critical process that ensures all replicas of a specific piece of data are consistent and aligned. This process involves comparing data between replicas and updating those that are outdated or corrupted. Repairing not only helps maintain data integrity but also optimizes system performance by reducing the workload on replicas. In summary, ‘repairing’ in distributed databases is essential to ensure that data is accurate and reliable in a distributed environment.
