我正在尝试使用python从Lambda函数更新Redshift。为此，我尝试合并2个代码片段。当我分别运行它们时，这两个片段都起作用。

1. 从PyDev for Eclipse更新Redshift

        import psycopg2

    conn_string = "dbname='name' port='0000' user='name' password='pwd' host='url'"
    conn = psycopg2.connect(conn_string)

    cursor = conn.cursor()

    cursor.execute("UPDATE table SET attribute='new'")
    conn.commit()
    cursor.close()

1. 接收上传到S3存储桶的内容（Lambda上提供预构建的模板）

        from __future__ import print_function

    import json
    import urllib
    import boto3

    print('Loading function')

    s3 = boto3.client('s3')


    def lambda_handler(event, context):
        #print("Received event: " + json.dumps(event, indent=2))

        # Get the object from the event and show its content type
        bucket = event['Records'][0]['s3']['bucket']['name']
        key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8')

        try:
            response = s3.get_object(Bucket=bucket, Key=key)
            print("CONTENT TYPE: " + response['ContentType'])
            return response['ContentType']

        except Exception as e:
            print(e)
            print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(key, bucket))
            raise e

由于这两个段都起作用，因此我尝试将它们组合在一起，以便在将文件上传到s3时可以更新Redshift：

    from __future__ import print_function

    import json
    import urllib
    import boto3
    import psycopg2

    print('Loading function')

    s3 = boto3.client('s3')


    def lambda_handler(event, context):
        #print("Received event: " + json.dumps(event, indent=2))

        # Get the object from the event and show its content type
        bucket = event['Records'][0]['s3']['bucket']['name']
        key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8')

        conn_string = "dbname='name' port='0000' user='name' password='pwd' host='url'"

        conn = psycopg2.connect(conn_string)

        cursor = conn.cursor()

        cursor.execute("UPDATE table SET attribute='new'")
        conn.commit()
        cursor.close()

        try:
            response = s3.get_object(Bucket=bucket, Key=key)
            print("CONTENT TYPE: " + response['Body'].read())
            return response['Body'].read()
        except Exception as e:
            print(e)
            print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(key, bucket))
            raise e

由于我使用的是外部库，因此需要创建一个部署程序包。我创建了一个新文件夹（lambda_function1）并将我的.py文件（lambda_function1.py）移至该文件夹。我运行以下命令在该文件夹中安装psycopg2：

pip install psycopg2 -t \lambda_function1

我收到以下反馈：

    Collecting psycopg2
      Using cached psycopg2-2.6.1-cp34-none-win_amd64.whl
    Installing collected packages: psycopg2
    Successfully installed psycopg2-2.6.1 

然后，我压缩目录的内容。并将该zip文件上传到我的lambda函数。当我将文档上传到功能监视的存储桶时，我的cloudwatch日志中收到以下错误：

Unable to import module 'lambda_function1': No module named _psycopg

当我在库中查找时，唯一名为“ _psycopg”的是“ _psycopg.pyd”。

是什么导致此问题？当我使用3.4时，Lambda使用Python
2.7是否重要？在Windows计算机上压缩文件内容是否重要？有没有人能够从lambda成功连接到Redshift？