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Java SyncFailedException Class

Last modified: April 16, 2025

The java.io.SyncFailedException signals that a sync operation has failed. This occurs when the system cannot guarantee that buffers have been written to physical storage. It extends IOException and is thrown by FileDescriptor.sync and RandomAccessFile.getFD().sync.

Sync operations ensure file contents are physically written to storage. When this fails, data might be lost if the system crashes. This exception indicates a serious I/O problem that should be handled appropriately.

SyncFailedException Class Overview

SyncFailedException is a checked exception in Java's I/O system. It has a simple constructor that takes a descriptive message. The exception provides standard methods inherited from IOException.

public class SyncFailedException extends IOException {
    public SyncFailedException(String desc);
}

The code above shows the complete class definition. The constructor creates an exception with a description of the failure. This helps diagnose why the sync operation couldn't complete successfully.

Basic SyncFailedException Example

This example demonstrates how a SyncFailedException might occur when trying to sync a file descriptor. We attempt to force system buffers to disk but handle potential failures.

Main.java
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.SyncFailedException;

public class Main {

    public static void main(String[] args) {
        try (FileOutputStream fos = new FileOutputStream("data.txt")) {
            fos.write("Important data".getBytes());
            
            // Attempt to sync file contents to disk
            fos.getFD().sync();
            System.out.println("Data successfully synced to disk");
            
        } catch (SyncFailedException e) {
            System.err.println("Failed to sync data: " + e.getMessage());
        } catch (IOException e) {
            System.err.println("I/O error: " + e.getMessage());
        }
    }
}

This example shows basic sync operation handling. The getFD().sync call forces data to disk. If this fails, we catch SyncFailedException separately from other I/O errors. This allows specific handling of sync failures.

Handling Sync Failure in RandomAccessFile

RandomAccessFile also supports sync operations through its file descriptor. This example shows sync failure handling with random file access. We write data and attempt to force it to disk.

Main.java
import java.io.IOException;
import java.io.RandomAccessFile;
import java.io.SyncFailedException;

public class Main {

    public static void main(String[] args) {
        try (RandomAccessFile raf = new RandomAccessFile("random.dat", "rw")) {
            raf.write("Critical information".getBytes());
            
            // Force changes to disk
            raf.getFD().sync();
            System.out.println("Random access file synced successfully");
            
        } catch (SyncFailedException e) {
            System.err.println("Sync failed! Data may be at risk: " + e.getMessage());
            // Implement recovery strategy here
        } catch (IOException e) {
            System.err.println("General I/O error: " + e.getMessage());
        }
    }
}

This example demonstrates sync operation with RandomAccessFile. The sync failure is caught separately for special handling. In real applications, you might implement data recovery or notification when sync fails.

Checking FileDescriptor Validity Before Sync

Before attempting sync, it's good practice to check if the file descriptor is valid. This example shows how to validate the descriptor and handle sync failure.

Main.java
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.SyncFailedException;

public class Main {

    public static void main(String[] args) {
        try (FileOutputStream fos = new FileOutputStream("check.txt")) {
            fos.write("Test data".getBytes());
            
            if (fos.getFD().valid()) {
                try {
                    fos.getFD().sync();
                    System.out.println("Sync completed successfully");
                } catch (SyncFailedException e) {
                    System.err.println("Sync failed despite valid FD: " + e.getMessage());
                }
            } else {
                System.err.println("File descriptor is invalid - cannot sync");
            }
            
        } catch (IOException e) {
            System.err.println("I/O error: " + e.getMessage());
        }
    }
}

This example checks file descriptor validity before attempting sync. Even with a valid descriptor, sync can fail due to system-level issues. The example shows proper error handling for both cases.

Retry Mechanism for Sync Operations

When sync fails, you might want to retry the operation. This example implements a simple retry mechanism with exponential backoff for sync operations.

Main.java
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.SyncFailedException;

public class Main {
    
    private static final int MAX_RETRIES = 3;
    private static final long INITIAL_DELAY = 100; // milliseconds

    public static void main(String[] args) {
        try (FileOutputStream fos = new FileOutputStream("retry.txt")) {
            fos.write("Important transaction".getBytes());
            
            boolean synced = false;
            long delay = INITIAL_DELAY;
            
            for (int i = 0; i < MAX_RETRIES && !synced; i++) {
                try {
                    fos.getFD().sync();
                    synced = true;
                    System.out.println("Sync succeeded on attempt " + (i + 1));
                } catch (SyncFailedException e) {
                    System.err.println("Sync attempt " + (i + 1) + " failed");
                    if (i < MAX_RETRIES - 1) {
                        try {
                            Thread.sleep(delay);
                            delay *= 2; // Exponential backoff
                        } catch (InterruptedException ie) {
                            Thread.currentThread().interrupt();
                            break;
                        }
                    }
                }
            }
            
            if (!synced) {
                System.err.println("Failed to sync after " + MAX_RETRIES + " attempts");
                // Implement fallback strategy here
            }
            
        } catch (IOException e) {
            System.err.println("I/O error: " + e.getMessage());
        }
    }
}

This example shows a robust sync operation with retries. Each failed attempt increases the delay between retries. After maximum retries, it reports failure. In production, you might log this event or implement data recovery procedures.

Differentiating Sync Failures from Other IOExceptions

It's important to distinguish sync failures from other I/O errors. This example shows how to handle different exception types appropriately.

Main.java
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.SyncFailedException;

public class Main {

    public static void main(String[] args) {
        try (FileOutputStream fos = new FileOutputStream("data.bin")) {
            // Write important binary data
            byte[] data = new byte[1024];
            // ... fill data array ...
            fos.write(data);
            
            try {
                fos.getFD().sync();
            } catch (SyncFailedException e) {
                // Specific handling for sync failures
                System.err.println("WARNING: Sync failed - " + e.getMessage());
                System.err.println("Data might not be persisted to disk");
                // Additional handling specific to sync failure
            }
            
        } catch (IOException e) {
            // General I/O error handling
            System.err.println("ERROR: I/O operation failed - " + e.getMessage());
            // Different handling for non-sync related errors
        }
    }
}

This example demonstrates separate handling for sync failures versus other I/O errors. Sync failures get specific warnings about potential data persistence issues. Other I/O errors are handled more generally.

Logging Sync Failures for Diagnostics

Proper logging of sync failures helps diagnose system issues. This example shows how to log sync failures with detailed information.

Main.java
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.SyncFailedException;
import java.time.Instant;
import java.util.logging.Level;
import java.util.logging.Logger;

public class Main {
    
    private static final Logger logger = Logger.getLogger(Main.class.getName());

    public static void main(String[] args) {
        String filename = "transaction.log";
        
        try (FileOutputStream fos = new FileOutputStream(filename)) {
            String transaction = "TX1001,500.00,ACCT123";
            fos.write(transaction.getBytes());
            
            try {
                fos.getFD().sync();
                logger.info("Transaction committed and synced to disk");
            } catch (SyncFailedException e) {
                logger.log(Level.SEVERE, "Failed to sync transaction file", e);
                logger.severe("Transaction may not be persisted: " + filename);
                logger.severe("Failure timestamp: " + Instant.now());
                // Additional recovery logic here
            }
            
        } catch (IOException e) {
            logger.log(Level.SEVERE, "Failed to write transaction", e);
        }
    }
}

This example uses Java's logging framework to record sync failures. It captures the exact time of failure and file details. Such logging helps administrators diagnose and address storage system problems.

Source

Java SyncFailedException Class Documentation

In this article, we've covered the Java SyncFailedException class with practical examples. Understanding sync operations and their failure modes is crucial for building robust, data-safe applications.

Author

My name is Jan Bodnar, and I am a dedicated programmer with many years of experience in the field. I began writing programming articles in 2007 and have since authored over 1,400 articles and eight e-books. With more than eight years of teaching experience, I am committed to sharing my knowledge and helping others master programming concepts.

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