Step 1: Verify the SQL File Path and Permissions
Open a terminal window.
Use the ls -l command to check the file path and permissions:
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ls -l /home/engineer/Desktop/fMadpstXVWBe1AjWNaJiJdY9fp5CI5.sql
Output example:
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-rw-rw-r-- 1 engineer engineer 1061496962 Dec 1 2023 /home/engineer/Desktop/fMadpstXVWBe1AjWNaJiJdY9fp5CI5.sql
This output confirms that:
The file exists in the specified location.
It has read permissions (rw-rw-r--), meaning it’s accessible for reading.
Step 2: Use the MySQL Command to Import the File
Run the following command to import the SQL file into MySQL. Replace fMadpstXVWBe1AjWNaJiJdY9fp5CI5 with your database name:
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sudo /opt/lampp/bin/mysql -u root -p fMadpstXVWBe1AjWNaJiJdY9fp5CI5 < /home/engineer/Desktop/fMadpstXVWBe1AjWNaJiJdY9fp5CI5.sql
Here’s a breakdown of this command:
sudo: Runs the command with superuser privileges, which may be required for large file imports.
/opt/lampp/bin/mysql: Path to the MySQL binary in the LAMPP installation.
-u root: Specifies the MySQL username, in this case, root.
-p: Prompts for the MySQL password.
fMadpstXVWBe1AjWNaJiJdY9fp5CI5: The name of the database where the file will be imported.
< /path/to/file.sql: Points to the SQL file you want to import.
After you run this command, you will be prompted to enter your MySQL password. Enter the password and press Enter.
Step 3: Monitor the Import Process
The import process will start immediately. It may take a while, especially if the file is large. If no errors are displayed, the import was successful.
Troubleshooting Tips
If you encounter any errors due to the file size or configuration limits:
Increase the MySQL max_allowed_packet Limit
Open the MySQL configuration file:
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sudo nano /opt/lampp/etc/my.cnf
Under the [mysqld] section, add or modify:
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max_allowed_packet=1G
Save the file and restart LAMPP:
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sudo /opt/lampp/lampp restart
Split the SQL File
For extremely large files, consider splitting them into smaller chunks and importing each chunk separately.
Following these steps will help you successfully import a large SQL file into MySQL on Ubuntu using the terminal.
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