- Introduction to Data Locking
- Types of Locking: Code Locking vs Data Locking
- Why Code Locking is Inefficient
- Understanding Data Locking
- POSIX APIs for Mutexes
- Best Practices with Mutexes
- Interview Questions
- Mutexes are used to protect critical sections of code from concurrent access.
- Critical sections are portions of code that manipulate shared resources like linked lists.
- Locking the code segment that's manipulating a data structure.
- Not efficient for multithreading scenarios.
- Locking the data structure itself.
- More efficient as it allows concurrent access to different data structures.
- Non-conflicting operations on different data structures get serialized, causing inefficiency.
- Example: A thread deleting from a student list and another deleting from an employee list will block each other unnecessarily.
- The Mutex object belongs to the data structure, acting as its bodyguard.
- Threads trying to manipulate the same data structure will be serialized.
- But, if two threads are operating on different data structures, they won't block each other.
- Declare a mutex using
pthread_mutex_t
- Initialize with
pthread_mutex_init
- Lock and unlock using
pthread_mutex_lock
andpthread_mutex_unlock
- Destroy the mutex using
pthread_mutex_destroy
- Never copy a data structure containing a Mutex. Doing so results in undefined behavior.
👉 Answer: Code locking is about protecting a segment of code, which can cause unnecessary serialization of non-conflicting operations. Data locking focuses on the data structure itself, allowing more efficient use of resources.
👉 Answer: Copying a data structure with a Mutex leads to undefined behavior. Mutexes should be treated as unique entities tied to their original data structures.
👉 Answer:
pthread_mutex_t
: For declaring a mutexpthread_mutex_init
: For initializing a mutexpthread_mutex_lock
andpthread_mutex_unlock
: For locking and unlockingpthread_mutex_destroy
: For destroying a mutex
👉 Answer: Data locking should be used in situations where you need to provide concurrent access to different data structures without causing unnecessary blockage or serialization. It's often the preferred method in multithreaded programs.
I hope these detailed notes help you in your interview preparation! Feel free to ask any further questions. 😊