Common Multi-Threading Issues
1. Data Race A data race is a specific type of concurrency issue when two or more threads access and manipulate the same shared resource without proper synchronization and sufficient protections, and at least one of the accesses is a write operation. This leads to undefined or unpredictable behavior. A race condition can occur without a data race, while a data race can occur without a race condition. For example, the order of events can be consistent, but if there’s always a read at the same time as a write, there’s still a data race. Data race can be addressed by using synchronization primitives such as locks, semaphores, or atomic operations to ensure that only one thread can access the shared resource at a time. Additionally, programming languages and frameworks provide constructs such as mutexes, monitors, and concurrent collections to help developers prevent data races. Data Race Example : A programmer attempts to use a mutex...