SELECT DISTINCT without SQL

The text explores the concept of the SQL "SELECT DISTINCT" statement, which is used to retrieve unique records from a database, and contrasts its performance and usability in traditional databases with that in Convex, a modern backend platform. While traditional databases like MySQL, SQL Server, and Postgres use query planners to optimize such queries, they may require manual tuning to achieve efficient performance, especially with large tables or complex queries. Convex, in contrast, handles the retrieval of distinct records without needing a specialized syntax for "SELECT DISTINCT" by leveraging its architecture, which allows functions to run next to the database, thereby minimizing latency and ensuring consistent performance. The text illustrates how Convex uses indexes and query functions to efficiently execute what would traditionally be a complex operation, offering a fresh approach to handling distinct queries in online transaction processing (OLTP) workloads without the need for hints to optimize query planners. Convex's method ensures predictable performance and simplifies the development of scalable applications by integrating various backend functionalities seamlessly.

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