How is data repair carried out by Cassandra?

Cassandra’s data repair is achieved by comparing and synchronizing data between different nodes in the cluster. When a node reads data, it checks for consistency and ensures data accuracy by comparing with other nodes. If any inconsistencies are detected, the node automatically initiates data repair by synchronizing the data with other nodes to maintain consistency.

The data repair process in Cassandra is automated, with Cassandra regularly checking data consistency and triggering repair operations when needed. This ensures that data remains consistent across the entire cluster, preventing data loss or corruption. Data repair is a critical feature of Cassandra, helping users maintain data integrity and reliability.


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