How does data compression work in Cassandra?

Cassandra’s data compression works by using compression algorithms to reduce storage space and network transmission costs. These algorithms are typically applied before data is written to the database or when data is read.

Cassandra supports various compression algorithms such as Snappy, LZ4, and Deflate. Administrators can choose to enable or disable compression at the table level, and select the compression algorithm to use. The compressed data will be stored on disk in a compressed format, and will be uncompressed when needed for read operations.

Data compression can significantly reduce disk usage and network transfer, improving system performance and saving costs. However, it is important to note that compression algorithms may increase CPU usage. Therefore, when selecting a compression algorithm, it is necessary to balance performance with storage space.


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