The 5 rules for writing faster SQL queries

Processing large volumes of data in real-time can be optimized through a set of best practices that enhance query performance and efficiency. These practices, drawn from extensive experience with real-time systems, are encapsulated in the "5 Rules of Fast Queries" by Tinybird. The first rule emphasizes minimizing data writes to avoid unnecessary memory usage and costs. The second rule suggests prioritizing data filters to expedite query execution by reducing the dataset size early in the process. The third rule highlights the importance of sequential reads, which can be significantly accelerated by proper indexing aligned with query patterns. The fourth rule advises processing only essential data columns to decrease query time and resource consumption. Finally, the fifth rule recommends deferring complex operations like joins and aggregations to later stages in the processing pipeline, ensuring they're applied to a reduced dataset. These strategies, complemented by additional guidance on avoiding full scans and optimizing joins, aim to facilitate faster and more cost-effective data queries. Tinybird offers a platform for real-time data ingestion, SQL querying, and the publication of optimized queries as low-latency APIs, available for free without time constraints or credit card requirements.