使用Python关闭AWS Lambda执行上下文后进行清理 [英] Cleaning up after AWS Lambda execution context is closed with Python

问题描述

来自使用AWS Lambda函数的最佳实践:

利用执行上下文重用来改善函数的性能.在函数处理程序之外初始化SDK客户端和数据库连接，[...]

Take advantage of execution context reuse to improve the performance of your function. Initialize SDK clients and database connections outside of the function handler, [...]

我想实现此原则来改进我的lambda函数，该函数在每次调用该函数时都会初始化并关闭数据库句柄.请看以下示例:

I would like to implement this principle to improve my lambda function, where a database handle is initialized and closed every time the function is invocated. Take the following example:

def lambda_handler(event, context):
    # Open a connection to the database
    db_handle = connect_database()    

    # Do something with the database
    result = perform_actions(db_handle)  

    # Clean up, close the connection
    db_handle.close()       

    # Return the result
    return result    

根据我对AWS文档的理解，应按以下方式优化代码:

From my understanding of the AWS documentation, the code should be optimized as follows:

# Initialize the database connection outside the handler
db_handle = conn_database()

def lambda_handler(event, context):
    # Do something with the database and return the result
    return perform_actions(db_handle)

这将导致未调用 db_handle.close()方法，从而可能导致连接泄漏.

This would result in the db_handle.close() method not being called, thus potentially leaking a connection.

将AWS Lambda与Python结合使用时，应如何处理此类资源的清理工作?

How should I handle the cleanup of such resources when using AWS Lambda with Python?

推荐答案

许多人都在寻找与您相同的东西.我相信这是不可能的.但是我们可以从数据库方面解决问题.

Many people looking for the same thing with you. I believe it is impossible at this time. But we could handle the issue from the database side.

看看 查看全文