Optimizing SQL with Query Statistics

When database issues arise, tracking queries on a running system is a challenging task. Existing solutions can cause additional system load or only capture a small subset of queries. To address this, PlanetScale now tracks query statistics without any overhead using Vitess to monitor how many times a query runs, rows it returns, and its completion time. This provides a complete view of query traffic on the database, enabling developers to debug queries and make changes to their application or deploy new indexes with non-blocking schema changes. By flagging long-running queries, PlanetScale aims to optimize performance and improve user experience. The company has also optimized a slow query by analyzing query statistics and MySQL explain plans, reducing its execution time from 719ms to under 20ms.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.