Managing MySQL databases efficiently is crucial for web hosting, development, and server management. Whether you’re working with a VPS hosting plan or handling large-scale applications on a dedicated server, knowing how to import and export MySQL databases using the command line is essential for backups, migrations, and troubleshooting.
First, access your server via SSH:
ssh user@yourserver.com
The mysqldump command is used to create a backup of your MySQL database:
mysqldump -u root -p database_name > backup.sql
To save space, you can compress the backup file using gzip:
gzip backup.sql
This will create backup.sql.gz, reducing storage usage.
If the destination database does not exist, create one before importing:
mysql -u root -p -e "CREATE DATABASE new_database;"
To restore a database from a backup file:
mysql -u root -p new_database < backup.sql
If the backup file is compressed, use the following command:
gunzip < backup.sql.gz | mysql -u root -p new_database
Using the command line for MySQL import and export is one of the most efficient, secure, and flexible methods for managing your databases—especially when working in dynamic server environments like those offered by AvaHost VPS hosting. Unlike web-based tools, which may be limited by browser timeouts or file upload restrictions, command-line operations offer full control, faster processing speeds, and the ability to automate tasks via scripts.
For developers and system administrators hosting projects on AvaHost’s high-performance VPS plans, mastering MySQL command-line utilities (mysqldump, mysql) can dramatically improve your daily workflow. Whether you’re migrating a website, setting up backups, or deploying a new application environment, these tools enable precise data control with minimal overhead.
AvaHost VPS environments are optimized for speed and reliability, giving you root access and full control over your system. This means you can schedule regular MySQL backups using cron jobs, restore databases without relying on a GUI, and easily transfer large datasets between development, staging, and production environments—all through SSH access.