Mastering Async JavaScript
Solving Race Conditions
Asynchronous JavaScript is like a bustling kitchen during dinner rush in the programming world. Orders (tasks) keep coming in, chefs (functions) juggle multiple dishes (operations), and the goal is to serve the food (output) promptly.
But what if two chefs unknowingly grab the same pan or one chef finishes a dish before realizing they were using the wrong recipe? Welcome to the chaotic world of race conditions.
In this article, we’ll unravel the mystery of race conditions in async JavaScript code, explore why they happen, and how to fix them using analogies, examples, and best practices.
Table of Contents
∘ Table of Contents
· What is a Race Condition?
· How Does it Manifest in JavaScript?
· Example of a Race Condition
∘ Expected Output:
∘ Actual Output:
· Why Did This Happen?
· Fixing Race Conditions in Async JavaScript
· 1. Avoid Shared State
∘ Example
· 2. Use Atomic Operations
∘ Example
· 3. Introduce Locks (Mutex)
∘ Example
· 4. Leverage Promise Chaining
∘ Example
· 5. Use Transactional Updates
∘ Example
· Best Practices for Preventing Race Conditions
· Conclusion
