在AWS Glue作业中，连接是可选的，但是如果您要使用数据目录或使用其他AWS服务，例如在RDS中运行的数据库，则需要创建连接。下面是一个使用AWS Glue连接的示例：

import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from awsglue.dynamicframe import DynamicFrame
from awsglue.context import GlueContext
from pyspark.context import SparkContext
from pyspark.sql.functions import *

sc = SparkContext.getOrCreate()
glueContext = GlueContext(sc)

# 创建连接
connection = glueContext.create_connection(
    connection_type="mysql",  # 数据库类型
    connection_options={
        "url": "jdbc:mysql://your-mysql-hostname:3306/",
        "user": "your-mysql-username",
        "password": "your-mysql-password",
        "dbtable": "your-mysql-dbtable"
    }
)

# 读取MySQL中的数据
datasource = glueContext.create_dynamic_frame.from_options(
    connection_type="mysql",
    connection_options={
        "url": "jdbc:mysql://your-mysql-hostname:3306/",
        "user": "your-mysql-username",
        "password": "your-mysql-password",
        "dbtable": "your-mysql-dbtable"
    }
)

# 转换数据
...
...
...

# 写入S3
glueContext.write_dynamic_frame.from_options(
    frame=transformed_data,
    connection_type="s3",
    connection_options={
        "path": "s3://your-bucket/path/"
    }
)