Which PHP PDO MySQL Method is Faster and Safer for Batch Insertion?

Batch Insertion in PHP PDO MySQL

Inserting multiple rows efficiently in a MySQL database is a common task. This article explores the best practices for inserting multiple rows using PHP PDO MySQL.

Using Prepared Statements

One approach involves using prepared statements, as demonstrated in the first code snippet:

foreach($rows as $row){
  $stmt->execute($row);
}

This is a relatively simple and straightforward method, where each row is inserted individually using a prepared statement. However, for large datasets, this approach can be slow due to the overhead of creating and executing multiple prepared statements.

Batch Query with Implode

An alternative approach is to concatenate all the values into a single query using implode(), as suggested in the second code snippet:

$sql .= //not sure the best way to concatenate all the values, use implode?

This approach reduces the overhead associated with preparing and executing multiple statements by combining all the rows into a single batch query.

Using Parameterized Queries

However, a better solution is to use parameterized queries, as shown in the second code snippet:

foreach($row as $element)
    {
        $paramArray[] = $element;
    }
...
$stmt->execute($paramArray);

Parameterized queries allow you to specify placeholder characters (e.g., ?) in your SQL statement and pass the actual values as parameters during execution. This provides better performance and security by preventing SQL injection attacks.

Which Method is Faster and Safer?

The batch query with implode() can be faster than inserting rows individually, but it's not as safe as using parameterized queries. Parameterized queries provide better protection against SQL injection and are generally considered the best practice for inserting multiple rows in PHP PDO MySQL.

Conclusion

While the simplicity of inserting rows individually may seem appealing, for larger datasets, batch insertion using parameterized queries provides superior performance and security. By using the techniques described in this article, you can efficiently insert multiple rows into your MySQL database.

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