可以使用以下代码示例来避免Athena查询的元数据进入S3桶。

import boto3

s3 = boto3.resource('s3')

# Create Athena client
athena = boto3.client('athena')

# Set query parameters
database = 'mydatabase'
query = 'SELECT * FROM mytable'

# Execute query
response = athena.start_query_execution(
    QueryString=query,
    QueryExecutionContext={
        'Database': database
    },
    ResultConfiguration={
        'OutputLocation': 's3://mybucket/myquery/'
    }
)

# Check if query executed successfully
execution_id = response['QueryExecutionId']
status = athena.get_query_execution(QueryExecutionId=execution_id)['QueryExecution']['Status']['State']
while status in ['QUEUED', 'RUNNING']:
    status = athena.get_query_execution(QueryExecutionId=execution_id)['QueryExecution']['Status']['State']
    print(f"Query: {query} is {status}")
    time.sleep(10)

# Download query result from S3 bucket
if status == 'SUCCEEDED':
    results_key = response['QueryExecution']['ResultConfiguration']['OutputLocation'].split('/')[-1]
    results_object = s3.Object('mybucket', f'myquery/{results_key}')
    results_content = results_object.get()['Body'].read().decode('utf-8')
    print(results_content)

# Remove metadata from S3 bucket
if status == 'SUCCEEDED':
    del_response = s3.Object('mybucket', f'myquery/{results_key}.metadata').delete()
    print(del_response)

在这个示例中，我们首先创建了一个S3资源和一个Athena客户端。然后，我们设置了一个database和一个query，并通过Athena.start_query_execution()执行了查询。在执行查询后，我们检查查询是否成功执行，然后从S3桶中下载查询结果。最后，我们使用S3.Object().delete()方法删除查询结果中的元数据。