Table compression can optimize reads
Search nodes typically engage in read-dominated tasks, so maximizing storage capacity of nodes, reducing the volume of data on disk, and limiting disk I/O can improve performance. You can configure data compression on a per-table basis to optimize performance of read-dominated tasks.
Configuration affects the compression algorithm for compressing SSTable files.
For read-heavy workloads, such as those carried by DSE Search, LZ4 compression is recommended.
Compression using the LZ4 compressor is enabled by default when you create a table.
You can change compression options using CQL.
Developers can also implement custom compression classes using the
You can configure the compression chunk size for read/write access patterns and the average size of rows in the table.