Despite their bad reputation in the Java community, checked exceptions provide superior type safety comparable to Rust's Result<T, E> or Haskell's Either a b—we've been dismissing one of Java's best features all along.

Introduction

Few features in Java have been as consistently criticized as checked exceptions. Modern Java libraries and frameworks often go to great lengths to avoid them. Newer JVM languages like Kotlin have abandoned them entirely. Many experienced Java developers consider them a design mistake.

But what if this conventional wisdom is wrong? What if checked exceptions represent one of Java's most forward-thinking features?

In this post, I'll argue that Java's checked exceptions were ahead of their time, offering many of the same type safety benefits that are now celebrated in languages like Rust and Haskell. Rather than abandoning this feature, we should consider how to improve it to work better with modern Java's features.

Understanding Java's Exception Handling Model

To set the stage, let's review how Java's exception system works:

• Unchecked exceptions (subclasses of RuntimeException or Error): These don't need to be declared or caught. They typically represent programming errors (NullPointerException, IndexOutOfBoundsException) or unrecoverable conditions (OutOfMemoryError).

• Checked exceptions (subclasses of Exception but not RuntimeException): These must either be caught with try/catch blocks or declared in the method signature with throws. They represent recoverable conditions that are outside the normal flow of execution (IOException, SQLException).

Here's how this works in practice:

// Checked exception - compiler forces you to handle or declare it
public void readFile(String path) throws IOException {
    Files.readAllLines(Path.of(path));
}

// Unchecked exception - no compiler enforcement
public void processArray(int[] array) {
    int value = array[array.length + 1]; // May throw ArrayIndexOutOfBoundsException
}

The Type Safety Argument for Checked Exceptions

At their core, checked exceptions are a way of encoding potential failure modes into the type system via method signatures. This makes certain failure cases part of the API contract, forcing client code to explicitly handle these cases.

Consider this method signature:

public byte[] readFileContents(String filePath) throws IOException

The throws IOException clause tells us something critical: this method might fail in ways related to IO operations. The compiler ensures you can't simply ignore this fact. You must either:

1. Handle the exception with a try-catch block
2. Propagate it by declaring it in your own method signature

This type-level representation of potential failures aligns perfectly with principles of modern type-safe programming.

Automatic Propagation: A Hidden Advantage

One often overlooked advantage of Java's checked exceptions is their automatic propagation. Once you declare a method as throws IOException, any exception that occurs is automatically propagated to the caller without additional syntax.

Compare this with Rust, where you must use the ? operator every time you call a function that returns a Result:

// Rust requires explicit propagation with ? for each call
fn read_and_process(path: &str) -> Result<(), std::io::Error> {
    let content = std::fs::read_to_string(path)?;
    process_content(&content)?;
    Ok(())
}

// Java automatically propagates exceptions once declared
void readAndProcess(String path) throws IOException {
    String content = Files.readString(Path.of(path));
    processContent(content); // If this throws IOException, it's automatically propagated
}

In complex methods with many potential failure points, Java's approach leads to cleaner code by eliminating the need for repetitive error propagation markers.

Modern Parallels: Result Types in Rust and Haskell

The approach of encoding failure possibilities in the type system has been adopted by many modern languages, most notably Rust with its Result<T, E> type and Haskell with its Either a b type.

In Rust:

fn read_file_contents(file_path: &str) -> Result<Vec<u8>, std::io::Error> {
    std::fs::read(file_path)
}

When calling this function, you can't just ignore the potential for errors—you need to handle both the success case and the error case, often using the ? operator or pattern matching.

In Haskell:

readFileContents :: FilePath -> IO (Either IOException ByteString)
readFileContents path = try $ BS.readFile path

Again, the caller must explicitly deal with both possible outcomes.

This is fundamentally the same insight that motivated Java's checked exceptions: make failure handling explicit in the type system.

Valid Criticisms of Checked Exceptions

If checked exceptions are conceptually similar to these widely-praised error handling mechanisms, why have they fallen out of favor? There are several legitimate criticisms:

1. Excessive Boilerplate in the Call Chain

The most common complaint is the boilerplate required when propagating exceptions up the call stack:

void methodA() throws IOException {
    methodB();
}

void methodB() throws IOException {
    methodC();
}

void methodC() throws IOException {
    // Actual code that might throw IOException
}

Every method in the chain must declare the same exception, creating repetitive code. While automatic propagation works well within a method, the explicit declaration in method signatures creates overhead.

2. Poor Integration with Functional Programming

Java 8 introduced lambdas and streams, but checked exceptions don't play well with them:

// Won't compile because map doesn't expect functions that throw checked exceptions
List<String> fileContents = filePaths.stream()
    .map(path -> Files.readString(Path.of(path))) // Throws IOException
    .collect(Collectors.toList());

This forces developers to use awkward workarounds:

List<String> fileContents = filePaths.stream()
    .map(path -> {
        try {
            return Files.readString(Path.of(path));
        } catch (IOException e) {
            throw new UncheckedIOException(e); // Wrap in an unchecked exception
        }
    })
    .collect(Collectors.toList());

3. Interface Evolution Problems

Adding a checked exception to an existing method breaks all implementing classes and calling code. This makes evolving interfaces over time difficult, especially for widely-used libraries and frameworks.

4. Catch-and-Ignore Anti-Pattern

The strictness of checked exceptions can lead to the worst possible outcome—developers simply catching and ignoring exceptions to make the compiler happy:

try {
    // Code that might throw
} catch (Exception e) {
    // Do nothing or just log
}

This is worse than having no exception checking at all because it provides a false sense of security.

Improving Checked Exceptions Without Abandoning Them

Rather than abandoning checked exceptions entirely, Java could enhance the existing system to address these legitimate concerns. Here are some potential improvements that preserve the type safety benefits while addressing the practical problems:

1. Allow lambdas to declare checked exceptions

One of the biggest pain points with checked exceptions today is their incompatibility with functional interfaces. Consider how much cleaner this would be:

// Current approach - forced to handle or wrap exceptions inline
List<String> contents = filePaths.stream()
    .map(path -> {
        try {
            return Files.readString(Path.of(path));
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    })
    .collect(Collectors.toList());

// Potential future approach - lambdas can declare exceptions
List<String> contents = filePaths.stream()
    .map((String path) throws IOException -> Files.readString(Path.of(path)))
    .collect(Collectors.toList());

This would require updating functional interfaces to support exception declarations:

@FunctionalInterface
public interface Function<T, R, E extends Exception> {
    R apply(T t) throws E;
}

2. Generic exception types in throws clauses

Another powerful enhancement would be allowing generic type parameters in throws clauses:

public <E extends Exception> void processWithException(Supplier<Void, E> supplier) throws E {
    supplier.get();
}

This would enable much more flexible composition of methods that work with different exception types, bringing some of the flexibility of Rust's Result<T, E> to Java's existing exception system.

3. Better support for exception handling in functional contexts

Unlike Rust which requires the ? operator for error propagation, Java already automatically propagates checked exceptions when declared in the method signature. What Java needs instead is better support for checked exceptions in functional contexts:

// Current approach for handling exceptions in streams
List<String> contents = filePaths.stream()
    .map(path -> {
        try {
            return Files.readString(Path.of(path));
        } catch (IOException e) {
            throw new RuntimeException(e); // Lose type information
        }
    })
    .collect(Collectors.toList());

// Hypothetical improved API
List<String> contents = filePaths.stream()
    .mapThrowing(path -> Files.readString(Path.of(path))) // Preserves checked exception
    .onException(IOException.class, e -> logError(e))
    .collect(Collectors.toList());

4. Integration with Optional<T> and Stream<T> APIs

The standard library could be enhanced to better support operations that might throw checked exceptions:

// Hypothetical API
Optional<String> content = Optional.ofThrowable(() -> Files.readString(Path.of("file.txt")));
content.ifPresentOrElse(
    this::processContent,
    exception -> log.error("Failed to read file", exception)
);

Comparison with Other Languages' Approaches

It's worth examining how other languages have addressed the error handling problem:

Rust's Result<T, E> and ? operator

Rust's approach using Result<T, E> and the ? operator shows how propagation can be made concise while keeping the type safety benefits. The ? operator automatically unwraps a successful result or returns the error to the caller, making propagation more elegant.

However, Rust's approach requires explicit propagation at each step, which can be more verbose than Java's automatic propagation in certain scenarios.

Kotlin's Approach

Kotlin made all exceptions unchecked but provides functional constructs like runCatching that bring back some type safety in a more modern way:

val result = runCatching {
    Files.readString(Path.of("file.txt"))
}

result.fold(
    onSuccess = { content -> processContent(content) },
    onFailure = { exception -> log.error("Failed to read file", exception) }
)

This approach works well with Kotlin's functional programming paradigm but lacks compile-time enforcement.

Scala's Try[T], Either[A, B], and Effect Systems

Scala offers Try[T], Either[A, B], and various effect systems that encode errors in the type system while integrating well with functional programming:

import scala.util.Try

val fileContent: Try[String] = Try {
  Source.fromFile("file.txt").mkString
}

fileContent match {
  case Success(content) => processContent(content)
  case Failure(exception) => log.error("Failed to read file", exception)
}

This approach preserves type safety while fitting well with Scala's functional paradigm.

Conclusion

Java's checked exceptions were a pioneering attempt to bring type safety to error handling. While the implementation has shortcomings, the core concept aligns with modern type-safe approaches to error handling in languages like Rust and Haskell.

Copying Rust's Result<T, E> might seem like the obvious solution, but it would represent a radical departure from Java's established paradigms. Instead, targeted enhancements to the existing checked exceptions system—like allowing lambdas to declare exceptions and supporting generic exception types—could preserve Java's unique approach while addressing its practical limitations.

The beauty of such improvements is that they'd maintain backward compatibility while making checked exceptions work seamlessly with modern Java features like lambdas and streams. They would acknowledge that the core concept of checked exceptions was sound—the problem was in the implementation details and their interaction with newer language features.

So rather than abandoning checked exceptions entirely, perhaps we should recognize them as a forward-thinking feature that was implemented before its time. As Java continues to evolve, we have an opportunity to refine this system rather than replace it.

In the meantime, next time you're tempted to disparage checked exceptions, remember: they're not just an annoying Java quirk—they're an early attempt at the same type safety paradigm that newer languages now implement with much celebration.

What do you think? Could these improvements make checked exceptions viable for modern Java development? Or is it too late to salvage this controversial feature? I'm interested in hearing your thoughts in the comments.

Despite their bad reputation in the Java community, checked exceptions provide superior type safety comparable to Rust's Result<T, E> or Haskell's Either a b—we've been dismissing one of Java's best features all along.

Introduction

Few features in Java have been as consistently criticized as checked exceptions. Modern Java libraries and frameworks often go to great lengths to avoid them. Newer JVM languages like Kotlin have abandoned them entirely. Many experienced Java developers consider them a design mistake.

But what if this conventional wisdom is wrong? What if checked exceptions represent one of Java's most forward-thinking features?

In this post, I'll argue that Java's checked exceptions were ahead of their time, offering many of the same type safety benefits that are now celebrated in languages like Rust and Haskell. Rather than abandoning this feature, we should consider how to improve it to work better with modern Java's features.

Understanding Java's Exception Handling Model

To set the stage, let's review how Java's exception system works:

• Unchecked exceptions (subclasses of RuntimeException or Error): These don't need to be declared or caught. They typically represent programming errors (NullPointerException, IndexOutOfBoundsException) or unrecoverable conditions (OutOfMemoryError).

• Checked exceptions (subclasses of Exception but not RuntimeException): These must either be caught with try/catch blocks or declared in the method signature with throws. They represent recoverable conditions that are outside the normal flow of execution (IOException, SQLException).

Here's how this works in practice:

// Checked exception - compiler forces you to handle or declare it
public void readFile(String path) throws IOException {
    Files.readAllLines(Path.of(path));
}

// Unchecked exception - no compiler enforcement
public void processArray(int[] array) {
    int value = array[array.length + 1]; // May throw ArrayIndexOutOfBoundsException
}

The Type Safety Argument for Checked Exceptions

At their core, checked exceptions are a way of encoding potential failure modes into the type system via method signatures. This makes certain failure cases part of the API contract, forcing client code to explicitly handle these cases.

Consider this method signature:

public byte[] readFileContents(String filePath) throws IOException

The throws IOException clause tells us something critical: this method might fail in ways related to IO operations. The compiler ensures you can't simply ignore this fact. You must either:

1. Handle the exception with a try-catch block
2. Propagate it by declaring it in your own method signature

This type-level representation of potential failures aligns perfectly with principles of modern type-safe programming.

Automatic Propagation: A Hidden Advantage

One often overlooked advantage of Java's checked exceptions is their automatic propagation. Once you declare a method as throws IOException, any exception that occurs is automatically propagated to the caller without additional syntax.

Compare this with Rust, where you must use the ? operator every time you call a function that returns a Result:

// Rust requires explicit propagation with ? for each call
fn read_and_process(path: &str) -> Result<(), std::io::Error> {
    let content = std::fs::read_to_string(path)?;
    process_content(&content)?;
    Ok(())
}

// Java automatically propagates exceptions once declared
void readAndProcess(String path) throws IOException {
    String content = Files.readString(Path.of(path));
    processContent(content); // If this throws IOException, it's automatically propagated
}

In complex methods with many potential failure points, Java's approach leads to cleaner code by eliminating the need for repetitive error propagation markers.

Modern Parallels: Result Types in Rust and Haskell

The approach of encoding failure possibilities in the type system has been adopted by many modern languages, most notably Rust with its Result<T, E> type and Haskell with its Either a b type.

In Rust:

fn read_file_contents(file_path: &str) -> Result<Vec<u8>, std::io::Error> {
    std::fs::read(file_path)
}

When calling this function, you can't just ignore the potential for errors—you need to handle both the success case and the error case, often using the ? operator or pattern matching.

In Haskell:

readFileContents :: FilePath -> IO (Either IOException ByteString)
readFileContents path = try $ BS.readFile path

Again, the caller must explicitly deal with both possible outcomes.

This is fundamentally the same insight that motivated Java's checked exceptions: make failure handling explicit in the type system.

Valid Criticisms of Checked Exceptions

If checked exceptions are conceptually similar to these widely-praised error handling mechanisms, why have they fallen out of favor? There are several legitimate criticisms:

1. Excessive Boilerplate in the Call Chain

The most common complaint is the boilerplate required when propagating exceptions up the call stack:

void methodA() throws IOException {
    methodB();
}

void methodB() throws IOException {
    methodC();
}

void methodC() throws IOException {
    // Actual code that might throw IOException
}

Every method in the chain must declare the same exception, creating repetitive code. While automatic propagation works well within a method, the explicit declaration in method signatures creates overhead.

2. Poor Integration with Functional Programming

Java 8 introduced lambdas and streams, but checked exceptions don't play well with them:

// Won't compile because map doesn't expect functions that throw checked exceptions
List<String> fileContents = filePaths.stream()
    .map(path -> Files.readString(Path.of(path))) // Throws IOException
    .collect(Collectors.toList());

This forces developers to use awkward workarounds:

List<String> fileContents = filePaths.stream()
    .map(path -> {
        try {
            return Files.readString(Path.of(path));
        } catch (IOException e) {
            throw new UncheckedIOException(e); // Wrap in an unchecked exception
        }
    })
    .collect(Collectors.toList());

3. Interface Evolution Problems

Adding a checked exception to an existing method breaks all implementing classes and calling code. This makes evolving interfaces over time difficult, especially for widely-used libraries and frameworks.

4. Catch-and-Ignore Anti-Pattern

The strictness of checked exceptions can lead to the worst possible outcome—developers simply catching and ignoring exceptions to make the compiler happy:

try {
    // Code that might throw
} catch (Exception e) {
    // Do nothing or just log
}

This is worse than having no exception checking at all because it provides a false sense of security.

Improving Checked Exceptions Without Abandoning Them

Rather than abandoning checked exceptions entirely, Java could enhance the existing system to address these legitimate concerns. Here are some potential improvements that preserve the type safety benefits while addressing the practical problems:

1. Allow lambdas to declare checked exceptions

One of the biggest pain points with checked exceptions today is their incompatibility with functional interfaces. Consider how much cleaner this would be:

// Current approach - forced to handle or wrap exceptions inline
List<String> contents = filePaths.stream()
    .map(path -> {
        try {
            return Files.readString(Path.of(path));
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    })
    .collect(Collectors.toList());

// Potential future approach - lambdas can declare exceptions
List<String> contents = filePaths.stream()
    .map((String path) throws IOException -> Files.readString(Path.of(path)))
    .collect(Collectors.toList());

This would require updating functional interfaces to support exception declarations:

@FunctionalInterface
public interface Function<T, R, E extends Exception> {
    R apply(T t) throws E;
}

2. Generic exception types in throws clauses

Another powerful enhancement would be allowing generic type parameters in throws clauses:

public <E extends Exception> void processWithException(Supplier<Void, E> supplier) throws E {
    supplier.get();
}

This would enable much more flexible composition of methods that work with different exception types, bringing some of the flexibility of Rust's Result<T, E> to Java's existing exception system.

3. Better support for exception handling in functional contexts

Unlike Rust which requires the ? operator for error propagation, Java already automatically propagates checked exceptions when declared in the method signature. What Java needs instead is better support for checked exceptions in functional contexts:

// Current approach for handling exceptions in streams
List<String> contents = filePaths.stream()
    .map(path -> {
        try {
            return Files.readString(Path.of(path));
        } catch (IOException e) {
            throw new RuntimeException(e); // Lose type information
        }
    })
    .collect(Collectors.toList());

// Hypothetical improved API
List<String> contents = filePaths.stream()
    .mapThrowing(path -> Files.readString(Path.of(path))) // Preserves checked exception
    .onException(IOException.class, e -> logError(e))
    .collect(Collectors.toList());

4. Integration with Optional<T> and Stream<T> APIs

The standard library could be enhanced to better support operations that might throw checked exceptions:

// Hypothetical API
Optional<String> content = Optional.ofThrowable(() -> Files.readString(Path.of("file.txt")));
content.ifPresentOrElse(
    this::processContent,
    exception -> log.error("Failed to read file", exception)
);

Comparison with Other Languages' Approaches

It's worth examining how other languages have addressed the error handling problem:

Rust's Result<T, E> and ? operator

Rust's approach using Result<T, E> and the ? operator shows how propagation can be made concise while keeping the type safety benefits. The ? operator automatically unwraps a successful result or returns the error to the caller, making propagation more elegant.

However, Rust's approach requires explicit propagation at each step, which can be more verbose than Java's automatic propagation in certain scenarios.

Kotlin's Approach

Kotlin made all exceptions unchecked but provides functional constructs like runCatching that bring back some type safety in a more modern way:

val result = runCatching {
    Files.readString(Path.of("file.txt"))
}

result.fold(
    onSuccess = { content -> processContent(content) },
    onFailure = { exception -> log.error("Failed to read file", exception) }
)

This approach works well with Kotlin's functional programming paradigm but lacks compile-time enforcement.

Scala's Try[T], Either[A, B], and Effect Systems

Scala offers Try[T], Either[A, B], and various effect systems that encode errors in the type system while integrating well with functional programming:

import scala.util.Try

val fileContent: Try[String] = Try {
  Source.fromFile("file.txt").mkString
}

fileContent match {
  case Success(content) => processContent(content)
  case Failure(exception) => log.error("Failed to read file", exception)
}

This approach preserves type safety while fitting well with Scala's functional paradigm.

Conclusion

Java's checked exceptions were a pioneering attempt to bring type safety to error handling. While the implementation has shortcomings, the core concept aligns with modern type-safe approaches to error handling in languages like Rust and Haskell.

Copying Rust's Result<T, E> might seem like the obvious solution, but it would represent a radical departure from Java's established paradigms. Instead, targeted enhancements to the existing checked exceptions system—like allowing lambdas to declare exceptions and supporting generic exception types—could preserve Java's unique approach while addressing its practical limitations.

The beauty of such improvements is that they'd maintain backward compatibility while making checked exceptions work seamlessly with modern Java features like lambdas and streams. They would acknowledge that the core concept of checked exceptions was sound—the problem was in the implementation details and their interaction with newer language features.

So rather than abandoning checked exceptions entirely, perhaps we should recognize them as a forward-thinking feature that was implemented before its time. As Java continues to evolve, we have an opportunity to refine this system rather than replace it.

In the meantime, next time you're tempted to disparage checked exceptions, remember: they're not just an annoying Java quirk—they're an early attempt at the same type safety paradigm that newer languages now implement with much celebration.

What do you think? Could these improvements make checked exceptions viable for modern Java development? Or is it too late to salvage this controversial feature? I'm interested in hearing your thoughts in the comments.

Today we're opening a public beta for our social web integration in Ghost. For the first time, any site on Ghost(Pro) can now try out ActivityPub.

For those of you who have been subscribed to this newsletter for the past year or so, thanks for your patience! It hasn't been easy to get this far, but we're excited to hear what you think as you become one of our very first explorers to launch into the Fediverse.

To help you get started, we've put together a detailed guide explaining how this new feature works, and what you can expect from using it in its current state.

Take a quick read through everything here, as an introduction:

Social web (beta)

💡Currently in public beta on Ghost(Pro) This feature is in active development, and is not yet complete. We’re welcoming early testers to give it a try and share their feedback, as we work on finalizing this experience for inclusion in Ghost 6.0. Since 2013, Ghost has made it

Ghost Help CenterGhost

Once you're ready to take ActivityPub for a test drive yourself, open Ghost Admin and head over to Settings → Labs and enable the beta.

We're looking forward to chatting with you!