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What is the difference between Errors and Exceptions?

java
exceptions
error-handling
best-practices
Alex KataevbyAlex Kataev·Aug 8, 2024
TLDR

Errors in Java denote serious conditions that are beyond an application's control, usually pointing to issues like OutOfMemoryError at the hardware or system levels. They're usually fatal—specs recommend not catching them. Exceptions, contrastingly, signal events a program can handle. These may range from user input errors to network issues. There are two categories: checked, which require handling like IOException, and unchecked, typically representing runtime problems such as NullPointerException. Best practice recommends handling exceptions, not Errors.

// Code with defensive driving principles try { // Some gutsy IO stuff happening here, be careful! } catch (IOException ex) { // Handle the mess, clean it up, and apologize profusely! } // Don't try to grapple with Errors - they're a Godzilla-level event

Diving Deeper: Error and Exception Details

Demystifying Checked and Unchecked Exceptions

The checked ones are those pesky exceptions that Java insists we handle—in the form of try-catch or throws. Representing recoverable conditions, they enforce us to plan for contingencies—which pays off in robust code that doesn’t crumble at minor setbacks.

On the contrary, unchecked exceptions, which include RuntimeException and Errors, need not be explicitly handled. Usually caused by flaws in your code logic, invalid input, or factors that sneak up during runtime—they don't stop the show but act like subtle reminders—you might need to fix something.

Strategy for Handling Exceptions and Errors

Remember this: Errors are non-negotiable. Don’t try to catch them or negotiate with them. They mean something serious has happened, and it’s best to let JVM handle them. If attempted, you may do so for logging or auditing, not recovery.

With Exceptions, dodge them with try-catch. Handle possible errors gracefully by either recovering from them or developing an alternate course of action. Use finally blocks to ensure backed-up operations get their turn regardless of whether an exception was thrown or not. Following such tactics empowers a sequential flow of work and brings predictability.

For instance, if there's a problem parsing input—you get a ParseException. This one is a classic example of catching and handling exceptions. You could potentially resolve it by alerting the user or trying an alternate parsing mechanism—thus enhancing user experience.

Best Practices for Writing Strong Java Code

  1. Prepare for checked exceptions: Add try-catch around operations that can misbehave or declare them with the throws keyword.
  2. Keep distance from Errors: They are Godzilla-level problems—cannot be reasoned with, let JVM deal with them.
  3. Cater for unchecked exceptions: Only when required, such as specific recovery or clean-up.
  4. Ensure the closure of resources: Use the finally block or try-with-resources to make sure things are cleaned up.
  5. Throw responsibly: Create custom exceptions only when it genuinely improves readability or maintainability.
  6. Document exceptions: Use Javadoc to indicate what your method can possibly throw and why.

Real-world Code Examples of Errors and Exceptions

Nothing helps cement a concept more than practical examples. So let's observe Errors and Exceptions in action:

Error Encounters

Consider you have a piece of code that's dynamically generating classes. After a while, it might throw the dreaded OutOfMemoryError—signifying that your JVM's method area is stuffed. Similar could be a case where you made unchecked recursive calls and you are awarded an StackOverflowError. Both these scenarios are classic examples of Errors when the JVM is hamstrung—an event your program can't handle.

Exception Handling

Imagine a network application that's supposed to read data from a remote server. During execution, lo and behold, a SocketTimeoutException strikes. By strategically setting up try-catch blocks in your code, you can handle such occurrences gracefully—possibly by retrying the operation or displaying an error message rather than abrupt termination.

In another scenario, pretend your application is trying to persist data to a database, and out of the blue, a SQLException makes its grand entrance. Rather than being a party pooper and crashing the party, an elegantly placed catch clause handles the exception—logging the error and triggering alternate operations, such as alerting an operator or falling back to a secondary storage system.