This article discusses concurrency issues with SQLite in the Jellyfin media server and how they implemented locking strategies to address these problems. It outlines various locking methods, including optimistic and pessimistic locking, and suggests that these solutions can be adapted for other EF Core applications facing similar challenges.

SELECT FOR UPDATE in PostgreSQL is often misused, leading to unnecessary row-level locking that can severely impact application concurrency and performance. Developers are encouraged to opt for FOR NO KEY UPDATE instead, as it aligns better with typical update scenarios and prevents deadlocks. Properly managing lock levels according to actual data manipulation needs can significantly enhance system efficiency.