How to load data from Iterable to MySQL Destination

Begin by setting up your MySQL database where you'll store the data. Install MySQL Server on your machine and use the MySQL Workbench or a similar tool to create a new database and table structure that matches the data schema of your iterable.

To interact with both the iterable and MySQL, you'll need Python with some libraries. Ensure you have Python installed and then use pip to install `pymysql`, a pure-Python MySQL client:
```bash
pip install pymysql
```

In your Python script, establish a connection to your MySQL database using `pymysql`. Define your database credentials and use them to open a connection:
```python
import pymysql

connection = pymysql.connect(
host='your_host',
user='your_username',
password='your_password',
database='your_database'
)
```

Ensure that your iterable data (e.g., a list of dictionaries) is properly formatted and ready for insertion. Each item in the iterable should match the structure of your MySQL table.

Construct an SQL `INSERT` command that matches your table structure. Use placeholders for the data values to prevent SQL injection. Here's a basic template:
```python
insert_query = """
INSERT INTO your_table_name (column1, column2, column3)
VALUES (%s, %s, %s)
"""
```

Loop through your iterable and execute the SQL insert command for each item. Use a cursor object to execute the command and pass the item data as a tuple:
```python
with connection.cursor() as cursor:
for item in iterable_data:
cursor.execute(insert_query, (item['key1'], item['key2'], item['key3']))
```

After all data has been inserted, commit the transaction to ensure changes are saved, and then close the database connection to free up resources:
```python
connection.commit()
connection.close()
```

By following these steps, you can efficiently move data from an iterable to a MySQL database without the need for third-party connectors or integrations.