1. Go to the Firebase console (https://console.firebase.google.com/).
2. Select your project.
3. Navigate to the Realtime Database section.
4. Ensure you have the necessary permissions to read the data from your database.

1. Open the Realtime Database in the Firebase console.
2. Click on the three dots icon (`⋮`) next to the `+` sign to open the menu.
3. Select "Export JSON."
4. This will download a JSON file containing all the data from your Firebase Realtime Database.

1. Install MySQL Server on your local machine or server if not already installed.
2. Access MySQL through a command-line interface or a GUI tool like phpMyAdmin or MySQL Workbench.
3. Create a new database using the following SQL command:
   ‍```sql
   CREATE DATABASE your_database_name;
   ```‍
4. Select the database:
      ```sql
   USE your_database_name;
   ```‍
5. Create tables that correspond to the structure of your Firebase data. Ensure that the data types in MySQL match the types of data you're importing from Firebase.

1. Write a script or use a tool to convert the JSON file into SQL statements. This can be done in a programming language of your choice (e.g., Python, Node.js).
2. The script should parse the JSON file and generate `INSERT` statements for each record.
3. Handle any data type conversions that may be necessary (e.g., converting timestamps to MySQL datetime format).

1. Use the MySQL command-line interface or a GUI tool to run the SQL statements generated in the previous step.
2. For command-line, navigate to the directory containing your SQL file and run:
      ```bash
   mysql -u username -p your_database_name < data.sql
   ```‍
3. Replace `username` with your MySQL username and `data.sql` with the path to your SQL file.
4. Enter your password when prompted.

1. After the import is complete, verify that the data has been transferred correctly.
2. Run `SELECT` queries on your MySQL tables to check if the records match the data from Firebase.

Additional Considerations

• Security: Ensure that your Firebase data export and MySQL import processes are secure, especially if dealing with sensitive data.
• Data Integrity: Make sure that foreign keys, unique constraints, and indexes are properly handled in your MySQL schema.
• Automation: If this is a recurring task, consider automating the process with a script or a cron job.
• Error Handling: Implement error handling in your script to manage any issues that arise during the conversion or import process.
• Backup: Always create backups of your data before starting the migration process.

Example Script (Python)

Here's a simple example of how you might write a Python script to convert Firebase JSON data to SQL:

‍

```python

import json

‍

# Load your Firebase JSON data

with open('firebase_data.json', 'r') as file:

    firebase_data = json.load(file)

‍

# Example: Assuming firebase_data is a dictionary with keys as record IDs

sql_statements = []

for record_id, record_data in firebase_data.items():

    columns = ', '.join(record_data.keys())

    values = ', '.join([f"'{value}'" for value in record_data.values()])

    sql = f"INSERT INTO your_table_name ({columns}) VALUES ({values});"

    sql_statements.append(sql)

‍

# Save the SQL statements to a file

with open('data.sql', 'w') as file:

    for statement in sql_statements:

        file.write(statement + "\n")

```

Remember to replace `'your_table_name'` with the actual table name and adjust the script to fit the structure of your Firebase data and MySQL schema.

By following these steps and considerations, you can manually migrate data from Firebase Realtime Database to a MySQL database without using third-party connectors or integrations.