How Can Transactions Optimize Bulk Data Insertion in MySQLi for Enhanced Performance?

Bulk Data Insertion Techniques in MySQLi: A Performance Optimization

When faced with the task of inserting large volumes of data into a MySQL database, it's crucial to consider performance and security. While using prepared statements protects against SQL injections, a naive implementation with multiple queries can be inefficient.

Foregoing Single-Query Approach

Attempting to insert all values at once using a single query, while tempting for performance, can lead to stack overflows. The solution lies in optimizing the process while maintaining security.

Transaction-Based Approach

To significantly enhance performance, enclose the insertions within a transaction. This allows multiple inserts to be treated as a single unit of work, avoiding costly roundtrips to the database.

Code Optimization

The following code snippet illustrates the optimized approach:

$array = ["array", "with", "about", "2000", "values"];
$query = "INSERT INTO table (link) VALUES (?)";
$stmt = $mysqli->prepare($query);
$stmt->bind_param("s", $one);

$mysqli->query("START TRANSACTION");
foreach ($array as $one) {
    $stmt->execute();
}
$stmt->close();
$mysqli->query("COMMIT");

Benchmarking Results

Benchmarking tests with 10,000 iterations revealed a substantial performance improvement:

• Without transaction: 226 seconds
• With transaction: 2 seconds

This translates to a remarkable two-order-of-magnitude speed increase, demonstrating the effectiveness of the transaction-based approach.

The above is the detailed content of How Can Transactions Optimize Bulk Data Insertion in MySQLi for Enhanced Performance?. For more information, please follow other related articles on the PHP Chinese website!