Multi-Threading & Concurrency in Object-Oriented Databases

1. Introduction

This lesson provides a comprehensive understanding of multi-threading and concurrency as they relate to object-oriented databases.

2. Key Concepts

• **Multi-threading**: The ability of a CPU to provide multiple threads of execution concurrently.
• **Concurrency**: The ability to run multiple tasks simultaneously, ensuring they can operate without interfering with each other.
• **Thread**: A sequence of programmed instructions that the CPU can manage independently.
• **Race Condition**: Occurs when two threads access shared data and try to change it at the same time.

3. Multi-Threading

Multi-threading allows an application to perform multiple operations simultaneously. In object-oriented databases, this can improve performance significantly.

class DatabaseThread extends Thread {
    public void run() {
        // Database operations
        System.out.println("Thread " + Thread.currentThread().getId() + " is executing a database operation.");
    }
}

public class MultiThreadedDatabase {
    public static void main(String[] args) {
        for (int i = 0; i < 5; i++) {
            DatabaseThread thread = new DatabaseThread();
            thread.start();
        }
    }
}

4. Concurrency

Concurrency is crucial in object-oriented databases to handle multiple requests. It ensures that transactions are processed reliably without data corruption.

5. Best Practices

1. Use synchronized blocks to avoid race conditions.
2. Implement proper locking mechanisms for shared resources.
3. Utilize thread pools to manage thread creation and destruction efficiently.
4. Regularly review and test code for concurrency issues.

6. FAQ