5 Tips to Optimize Your CQL Queries

In the blog post, Raouf Chebri discusses five strategies to optimize CQL queries for applications using ScyllaDB, a NoSQL database known for its high availability and sub-millisecond writes. The author emphasizes the importance of using prepared statements to enhance query efficiency by caching parsed query strings, thus reducing redundant parsing. Paging queries can improve latency by limiting the amount of data scanned and retrieved, while avoiding "ALLOW FILTERING" prevents inefficient full-table scans by utilizing indexes for data lookups. Chebri also suggests using the "BYPASS CACHE" command for rare range scans to directly access data from the disk, bypassing cache lookups. Finally, selecting an appropriate Consistency Level, specifically QUORUM, balances availability and latency by requiring a majority of nodes to provide a response, ensuring data is replicated across the cluster efficiently. The ScyllaDB Monitoring Dashboard is recommended for early-stage development and testing to identify and address potential performance issues before they impact users.