I get exception when using Thread.sleep(x) or wait()
Here's a quick fix for InterruptedException
: wrap your Thread.sleep(x)
or wait()
in a try-catch
block and re-interrupt the thread after catching InterruptedException
.
This handles InterruptedException
effectively without adding unnecessary complexity to your code.
Why InterruptedException needs to be handled
An in-depth understanding of InterruptedException
forms the core of effective multitasking in Java. When a thread is in sleep
or wait
mode, an interruption can be signalled to change its course. This interruption manifests as an exceptional event in Java named InterruptedException
.
Preserving the interrupt status
Throwing InterruptedException
clears the interrupted status of the thread. However, it is a vital piece of information that should not be lost. To preserve this information and respect the thread interruption policy, use Thread.currentThread().interrupt()
. This restores the interrupt status allowing further handling.
Tuning sleep durations with TimeUnit
Instead of manually converting units of time, consider using the TimeUnit
enum in Java. This promotes readability and precision in defining sleep durations:
Managing InterruptedException effectively: A guide
As the adage goes, "Exceptions happen!" So, let's look at ways to efficiently deal with InterruptedException
.
Catch it or declare it: Handling InterruptedException
Java obliges us to acknowledge the possibility of InterruptedException
either by catching or declaring it in the method's signature.
Keep a log: Track your InterruptedExceptions
In line with good coding practices, any InterruptedException
caught should be logged. This helps in tracing who is interrupting and why.
Cleanup is a must
While handling InterruptedException
, remember to clean up any resources used prior to the event. This should preferably be done in a finally
block or using a try-with-resources statement to prevent resource leaks.
Multi-threading tips for efficient and reliable coding
Given that InterruptedException
is a crucial part of JVM's multi-threading mechanism, let's delve into principles that make multi-threading in Java reliable and robust.
Reduce shared mutable state
Try to keep shared mutable variables to a minimum, reducing the likelihood of race conditions and deadlocks.
Leverage higher-level concurrency utilities
When it comes to dealing with Java’s low-level wait()
, notify()
, interrupt()
primitives, they are hard to use correctly. Java provides high-level utility packages such as java.util.concurrent
which are much easy to use and robust.
Immutable is adorable
Immutable objects can't be modified after they're created and hence are naturally thread-safe. The more you use them, the simpler and safer your code becomes!
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