How can I query a MySQL database using JDBC in Databricks, and what are the steps to create a table using the MySQL connector in Databricks Runtime?
To query a MySQL database using JDBC in Databricks, you can follow these steps:

1. Set up the JDBC driver, database host, port, name, table, user, and password as variables.
2. Create the JDBC URL using these variables.
3. Use the `spark.read` function to load the data from the MySQL database, specifying the format as "jdbc", the JDBC driver, URL, table, user, and password as options.

Here's an example code snippet:

```python
driver = "org.mariadb.jdbc.Driver"
database_host = "<database-host-url>"
database_port = "3306"
database_name = "<database-name>"
table = "<table-name>"
user = "<username>"
password = "<password>"
url = f"jdbc:mysql://{database_host}:{database_port}/{database_name}"
remote_table = (spark.read
               .format("jdbc")
               .option("driver", driver)
               .option("url", url)
               .option("dbtable", table)
               .option("user", user)
               .option("password", password)
               .load())
```

To create a table using the MySQL connector in Databricks Runtime, you can follow these steps:

1. Use the `spark.read` function to load the data from the MySQL database, specifying the format as "mysql", the table name, host, port, database name, user, and password as options.
2. Optionally, you can create a table using SQL commands and then insert the data into it.

Here's an example code snippet:

```python
remote_table = spark.read \
   .format("mysql") \
   .option("dbtable", "table_name") \
   .option("host", "database_hostname") \
   .option("port", "3306") \
   .option("database", "database_name") \
   .option("user", "username") \
   .option("password", "password") \
   .load()

# Optionally, create a table and insert the data into it
spark.sql("CREATE TABLE mysql_table (column1 datatype, column2 datatype,...)")
remote_table.write.mode("overwrite").saveAsTable("mysql_table")
```

These examples demonstrate how to query a MySQL database using JDBC and create a table using the MySQL connector in Databricks Runtime.