Avoid synchronized(this) in Java?
Leverage a private final lock rather than synchronized(this)
to retain optimal control over your lock, and to encapsulate synchronization within a confined context:
Doing so counters the hijacking of a this
lock, which often leads to concurrency dilemmas.
Maximising throughput with an effective synchronization strategy
Locking on this
enlarges the granularity of the lock, sheltering the entire object, which consequently restricts your concurrency control. Subtle, but impactful!
Unlock finer control with private locks
Skip the this
reference lock and introduce private final Object instances as locks:
Now you have distinct locks for diverse operations. Picture readLock
for read operations and writeLock
for write operations. This paves a neat path towards improved concurrency by permitting multiple threads to read data concurrently, while maintaining exclusive access for writes. Performance levels? Over 9000 🚀.
Concurrency in check: Keeping deadlocks and race conditions at bay
While multiple locks can unleash your concurrency potential, they are also notorious for inviting complexity and bugs. Tread carefully!
Locks as your defensive arsenal
Defensive programming is all about foreseeing others' code misuse and fortifying against it. Using a private lock object means client code cannot acquire your lock, shutting the door on potential invasions and security breaches.
Battle-tested practices for synchronization
Synchronized(this)
can be a sensible choice in some contexts. However, it calls for cautious planning and adequate documentation to guide users when they engage in a shared locking protocol.
Choosing the right synchronization approach for the right context
In a high-security environment, balance the potential risks against concurrency benefits. If your object serves as a vital resource, opting for private locking might spare you from unanticipated vulnerability exploitation.
Throughput face-off: Rethinking your synchronization strategy
Occasionally, removing synchronized(this)
doesn't resolve throughput issues due to lock contention. In such instances, reimagining your concurrency strategy could involve exploring non-blocking algorithms and hardware-based transactional memory techniques.
References
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