在node.js / Java中编写的AWS Lambda函数是否存在任何性能/功能差异 [英] Are there any performance/functionality differences for AWS Lambda functions written in node.js/Java

问题描述

我计划将AWS Lambda用于应用程序的后端。与node.js相比，我对Java更熟悉，但我看到node.js中的Lambda函数比Java更受欢迎。基于Java和基于nodejs的lambda函数之间是否有任何性能差异？

I am planning to use AWS Lambda for the backend of an app. I am more comfortable with Java compared to node.js but I see Lambda functions in node.js are more popular than Java. Are there any performance differences between Java based and nodejs based lambda functions?

推荐答案

虽然Java的启动时间较慢，但它的运行时性能较差比node.js或Python好多了。这意味着Java Lambda函数在以下情况下有意义：

While Java has a slower startup time, it's runtime performance is a lot better than the one of node.js or Python. That means Java Lambda functions make sense if:

1. 定期调用它们 - AWS Lambda将重复使用它的初始化容器，您可以从没有冷启动延迟的更好性能中受益

1. They are Invoked regularly - AWS Lambda will reuse it's initialized containers and you can benefit from the better performance without the cold start latency

和/或

1. 它们具有较长的运行时间 - 如果您的功能正在运行，例如1或2分钟，如果函数本身运行速度比node.js快一个数量级，你真的不关心启动5秒。

1. They have a long runtime - If your function is running e.g. for 1 or 2 minutes, you do not really care about 5 seconds of startup if the function itself is running an order of magnitude faster than node.js

您可能需要查看此github项目，以比较冷启动时间。

You may want to take a look at this github project that compares the cold start times.

Java糟糕的冷启动的一个重要因素可能是Java项目通常比例如大得多node.js函数。无论如何，您应该始终尽量保持功能尽可能小，以减少初始延迟。

One big factor of Java's bad cold starts is probably the fact that Java projects are often a lot bigger than e.g. a node.js function. In any way you should always try to keep functions as small as possible to reduce the initial latency.

当然，性能不应该是选择编程时的唯一因素语言。我个人认为node.js在工作时非常方便。使用JSON数据，这就是我在大多数函数中使用它的原因。

And of course performance shouldn't be the only factor when choosing your programming language. I personally think node.js is extremely convenient when working e.g. with JSON data, this is why I use it in most of my functions.

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