在AWS Glue中删除空字段可以使用以下代码示例：

import boto3

def remove_empty_fields(event, context):
    glue = boto3.client('glue')
    
    # 获取Glue数据库和表的名称
    database_name = 'your_database_name'
    table_name = 'your_table_name'
    
    # 获取表的架构
    response = glue.get_table(
        DatabaseName=database_name,
        Name=table_name
    )
    
    # 获取表的列信息
    columns = response['Table']['StorageDescriptor']['Columns']
    
    # 删除空字段
    updated_columns = [col for col in columns if col['Name'] and col['Name'].strip() != '']
    
    # 更新表的列信息
    response = glue.update_table(
        DatabaseName=database_name,
        TableInput={
            'Name': table_name,
            'StorageDescriptor': {
                'Columns': updated_columns,
                'Location': response['Table']['StorageDescriptor']['Location'],
                'InputFormat': response['Table']['StorageDescriptor']['InputFormat'],
                'OutputFormat': response['Table']['StorageDescriptor']['OutputFormat'],
                'SerdeInfo': response['Table']['StorageDescriptor']['SerdeInfo'],
                'Compressed': response['Table']['StorageDescriptor']['Compressed'],
                'NumberOfBuckets': response['Table']['StorageDescriptor']['NumberOfBuckets'],
                'BucketColumns': response['Table']['StorageDescriptor']['BucketColumns'],
                'SortColumns': response['Table']['StorageDescriptor']['SortColumns'],
                'Parameters': response['Table']['StorageDescriptor']['Parameters'],
                'SkewedInfo': response['Table']['StorageDescriptor']['SkewedInfo'],
                'StoredAsSubDirectories': response['Table']['StorageDescriptor']['StoredAsSubDirectories']
            },
            'PartitionKeys': response['Table']['PartitionKeys'],
            'TableType': response['Table']['TableType'],
            'Parameters': response['Table']['Parameters']
        }
    )
    
    print(response)

remove_empty_fields(None, None)  # 调用函数进行测试

请确保将your_database_name和your_table_name替换为实际的数据库和表名称。以上代码将获取指定表的架构，然后删除其中的空字段，并更新表的列信息。最后，将打印出更新的响应结果。

这是使用Python编写的AWS Glue脚本，可以通过AWS Lambda等服务进行调用。