![]() ![]() But because of how I'm planning this system, that would add a lot of complexity that I would love to try to avoid. Enter the queue name, select the Enable trigger checkbox, and. In the Trigger configuration dropdown, select SQS. Instead, the message is automatically taken from the SQS queue and is passed to the Lambda function via the event parameter. To do this, follow the steps given below: Go to the AWS Lambda function created in step 5 and click on the + Add trigger button. If you have configured the Amazon SQS queue to trigger an AWS Lambda function, then the function should not call ReceiveMessage(). The message is logged with CloudWatch execution logs. Once the message is sent to the SQS Queue, it triggers the configured Lambda functions with a SQS message records. I also know that I could just limit it on the other side, by limiting the number of items I put in the queue at a time (or per day). This trigger will process the message and delete it from the queue after its successful processing. From the console, you can click on Send and receive messages button and type your message and click on Send message. But this section doesn't seem to address the 100 times per day limit, or the 1 second delay between running the next function. Specifically the "Function Level Concurrent Execution Limit" section. I have looked into AWS Lambda Managing Concurrency. This type of control would allow me to directly map the function to the DynamoDB table limits to ensure I'm not going over capacity, and to I comply with any API rate limits. Send the S3 event to an SNS/SQS queue which in turn triggers the Lambda. It would also be nice to throttle it, to where it will only have a maximum of 5 concurrent actions being run at once, with a 1 second delay between running again. When working with AWS S3 Events that require processing in AWS Lambda, there are two common event-driven design patterns because S3 Notifications can target Lambda, SNS and SQS: Invoke the Lambda directly through S3 event. In order to manage costs, and stay in control of this process I'm wanting to throttle the amount of times this Lambda function gets called in a certain period of time.įor example, I want this function to be run a maximum of 100 times per day, in order to not overwhelm the DynamoDB table capacity or the API endpoint. One step of processing is going to be hitting an API endpoint to get some data back for every item added to the queue, then storing that away in an DynamoDB table. I have an AWS SQS queue that I'm going to setup with a Lambda function trigger to run the Lambda function for every item that gets added to the queue to do some processing work. ![]()
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