Can Multiple Insert Objects from a Single Storage Object Run Concurrently?

Is it possible to execute multiple insert objects generated from the same storage object at the same time?

// Example of insert operation
Storage storage = new Storage();
Insert insert1 = storage.createInsertObject();
Insert insert2 = storage.createInsertObject();
// Attempt to execute concurrently
ExecutorService executor = Executors.newFixedThreadPool(2);
executor.submit(() -> insert1.execute());
executor.submit(() -> insert2.execute());
executor.shutdown();

In systems where concurrency is a critical factor, understanding the capabilities and limitations of database insert operations is essential. This article evaluates whether multiple insert objects created from the same storage object can be executed concurrently, outlining best practices and potential pitfalls.

// Example demonstrating proper transaction handling
try {
    storage.beginTransaction();
    insert1.execute();  
    insert2.execute();
    storage.commitTransaction();
} catch (Exception e) {
    storage.rollbackTransaction();
    e.printStackTrace();
}

Causes

• Data integrity issues.
• Lock contention leading to performance degradation.
• Database-specific concurrency control policies.

Solutions

• Utilize transactions effectively to ensure atomicity and consistency.
• Use a connection pool to manage database connections efficiently.
• Implement optimistic concurrency control to minimize lock contention.

Mistake: Assuming insert operations are inherently thread-safe.

Solution: Verify the documentation of the storage solution for concurrency support.

Mistake: Failing to manage database connections properly.

Solution: Implement a connection pool to optimize resource use.