From the course: Java's Toughest Bugs

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Inconsistent thread data symptoms

Inconsistent thread data symptoms - Java Tutorial

From the course: Java's Toughest Bugs

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Inconsistent thread data symptoms

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- [Instructor] In software development, threads are like the performers of a symphony, each playing their part to create a harmonious application. But sometimes a wrong note can cause chaos. Enter concurrency-related bugs. These elusive glitches can turn your beautifully orchestrated code into a mess, and not only that, they can be some of the toughest to fix. What makes them so difficult is that they're difficult to replicate. In a multi-threaded environment, the order in which the threads are executed is not guaranteed. This can lead to different outcomes each time the code is run, making it hard to reproduce and diagnose the issue consistently. Let's take a look at an example. Imagine you're building a ticket booking system for people to buy tickets to a private Taylor Swift concert. Users are eager to book their tickets, and this is your concurrent solution to accommodate multiple booking requests simultaneously.…

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