Fading Coder

One Final Commit for the Last Sprint

Implementing Multiple Independent Thread Pools in Spring Boot

Thread Pool Constant Definition /** * Thread pool global naming and configuration key constants */ public class ThreadPoolMetaConstants { /** * Naming prefix for user business thread pool */ public static final String USER_POOL_PREFIX = "user-biz-thread"; /** * Naming prefix for school bus...

Concurrency Control Strategies: Optimistic versus Pessimistic Locking Patterns

Optimistic concurrency control operates on the assumption that resource conflicts are rare. Rather than blocking access, it allows transactions to proceed unimpeded, validating data integrity only at the commit phase. If the underlying data has mutated since retrieval, the transaction aborts and ret...

Managing Thread Lifecycles in Python: Starting and Stopping Worker Threads

Python's threading module facilitates concurrent task execution. A common requirement is too initiate a background thread and later halt its execution based on program logic. Initiating a Worker Thread To start a separate thread, define a target function and instantiate a Thread object. import threa...

Implementing Atomic Classes in Java Using Volatile Variables and CAS Operations

Java's atomic classes in the java.util.concurrent.atomic package are built upon two fundamental concurrency mechanisms: volatile variables and Compare-And-Swap (CAS) functions provided by the Unsafe class. 1. Characteristics of Volatile Variables Declaring a field as volatile ensures two critical pr...

ReentrantLock Internals: AQS, Fairness, and Lock/Unlock Mechanics

1. synchronzied vs. Lock 1.1 Where synchronized falls short The built-in monitor (synchronized) provides mutual exclusion and automatic release when a block exits. However, it has notable constraints: Acquisition is blocking-only; there is no non-blocking attempt to acquire (no try semantics). Waiti...

Returning Values from Java Threads with Callable and Future

Runnible tasks cannot produce a value; they only execute side effects. To compute a result on a background thread and retrieve it later, use Callable<T> together with ExecutorService.submit, which returns a Future<T>. A Future is a handle to the ongoing comptuation that can be queried fo...

Caffeine: High-Performance Local Caching in Java

Modern applications frequently mix distributed caches (such as Redis or Memcached) with fast in-process caches to minimize latency and reduce backand load. Caffeine is a high-throughput, low-latency in-JVM cache for Java that improves upon older libraries like Guava Cache with better eviction accura...