Laravel Insert urls with query string causes performance issue

The performance issue you're experiencing when inserting URLs with query strings in Laravel is likely not directly related to SQL injection prevention or prepared statements. Instead, it might be related to how the database engine handles the data, especially if the URLs are being indexed or if there are constraints on the column.

Here are a few steps you can take to diagnose and potentially resolve the issue:

1. Check Database Indexes:

   • If the column where you're inserting the URLs is indexed, the database might be taking longer to insert because it needs to update the index with each new entry. Consider whether the index is necessary for this column.

2. Column Data Type:

   • Ensure that the column data type is appropriate for storing URLs. Typically, a TEXT or VARCHAR type is used. If the column is too small, it might be causing additional overhead.

3. Batch Inserts:

   • If you're inserting a large number of rows, consider breaking them into smaller batches. This can sometimes improve performance by reducing the load on the database in a single transaction.

4. Database Configuration:

   • Check your database configuration for any settings that might be affecting performance, such as transaction isolation levels or buffer sizes.

5. Profiling and Logging:

   • Use Laravel's query logging or a database profiling tool to see if there are any unexpected delays or operations occurring during the insert.

6. Database Engine:

   • Different database engines handle large text inserts differently. If you're using MySQL, for example, consider whether switching to a different storage engine (like InnoDB or MyISAM) might help.

Here's a code example to demonstrate how you might batch your inserts:

use Illuminate\Support\Facades\DB;

$data = collect(range(0, 300))->map(fn () => [
    'googleDriveDocument' => 'https://docs.google.com/document/d/16jubu12345OytUWDTXv1QjAau5abcde5r2NbxtU/edit',
])->toArray();

// Batch size
$batchSize = 50;

// Insert in batches
foreach (array_chunk($data, $batchSize) as $batch) {
    DB::table('your_table_name')->insert($batch);
}

By inserting in smaller batches, you might see an improvement in performance. If the issue persists, further investigation into the database server's performance and configuration might be necessary.