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Answer Posted / Deepanshu Pathak
In Apache Cassandra, anti-entropy refers to the process of ensuring consistency across nodes in a distributed system. Merkle trees are used for anti-entropy purposes because they allow efficient comparison of large amounts of data between nodes. Each SSTable (sorted string table) is hashed and divided into smaller chunks, which are then hashed again to create a Merkle root. During the anti-entropy process, nodes compare their Merkle roots and exchange any missing or outdated data to maintain consistency.
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