AWS Lambda处理速度更快(AWS Lambda faster process way)

 目前，我正在实施基于S3，Lambda和DynamoDB的解决方案。 我的用例是，当在S3上上传新对象时，调用第一个Lambda函数，下载新文件，将其拆分为大约100个（或更多）部分，并为每个部分添加其他信息。 下一步，每个部分将由第二个Lambda函数处理，在某些情况下，将在DynamoDB中执行插入。 
 
 我的问题只是关于称为“第二个lambda”的最佳方式。 我的意思是，更快的方式。 我想同时执行100 Lambda函数（如果我要处理100个部分）。 
 
 我知道有不同的可能性： 
 
 1）我的第一个Lambda函数可以将每个部分作为Kinesis流中的项目推送，我的第二个Lambda函数将做出反应，检索项目并对其进行处理。 在这种情况下，我不知道AWS是否会在每次流中有剩余项目时启动新的Lambda函数。 也许有一些限制...... 
 
 2）我的第一个Lambda函数可以推送SNS主题中的每个部分，然后我的第二个Lambda将对每个新消息做出反应。 在这种情况下，我对延迟（通过SNS主题发送消息的操作与我的第二个Lambda函数执行的时间之间的时间）有一些疑问。 
 
 3）我的第一个Lambda函数可以通过执行API调用并传递信息直接启动第二个。 在这种情况下，我不知道我是否可以同时启动100个Lambda功能。 我想我会被AWS API的速率限制所困扰（我说，我想！） 
 
 有人有反馈意见，可能会就我的用例提出建议吗？ 再一次，对我来说最重要的是拥有更快的流程方式。 
 
 谢谢 

Currently, I'm implementing a solution based on S3, Lambda and DynamoDB. My use case is, when a new object is uploaded on S3, a first Lambda function is called, downloads the new file, splits it in around 100(or more) parts and for each of them, adds additional information. Next step, each part will be processed by second Lambda function and in some case an insert will be performed in DynamoDB. 
 
My question is only about the best way to call the "second lambda". I mean, the faster way. I want to execute 100 Lambda function(if I'd 100 parts to process) at the same time. 
 
I know there are different possibilities:
 
1) My first Lambda function can push each part as an item in a Kinesis stream and my second Lambda function will react, retrieve an item and processed it. In this case I don't know if AWS will launch a new Lambda function each time there is a remaining item in the stream. Maybe there is some limitation...
 
2) My first Lambda function can push each part in an SNS topic and then my second Lambda will react to each new message. In this case I've some doubts about the latency(time between the action to send a message through the SNS topic and the time to my second Lambda function to be executed). 
 
3) My first Lambda function can launch directly the second one by performing an API call and by passing the information. In this case I have no idea if I can launch 100 Lambdas function at the same time. I think I'll be stuck by a rate limitation against the AWS API(I said, I think!) 
 
Somebody have a feedback and maybe advises regarding my use case? One more time, the most important for me it's to have the faster process way.
 
Thanks

原文：https://stackoverflow.com/questions/41441771