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Concurrency is the cornerstone of modern database systems, but it comes with its challenges. In this comprehensive guide, we’ll explore advanced transaction management strategies in PostgreSQL to tackle concurrency issues effectively and ensure data integrity.
Before diving into strategies, let’s grasp the fundamentals. Explore database concurrency, isolation levels, and their impact on data consistency and performance.
Discover various locking mechanisms, including row-level locks, advisory locks, and advisory lock-based semaphores, to manage concurrent access to data.
Learn how to identify and resolve deadlocks effectively. Explore techniques like deadlock detection, timeout strategies, and application-level retries.
Optimistic concurrency control allows multiple transactions to proceed without blocking, but it requires conflict resolution. Dive into techniques like timestamps and versioning to manage conflicts gracefully.