Hi, I am trying to make a simple solution to receive all requests from our customer's system in a queue, rather than giving them several endpoints. We will create the RESTlets as usual, but we won't give them the link, instead we will create a custom record, like:

id
action
json_body
status
error

and one RESTlet to receive everything, that will just save the requests to that record. Then, with a scheduled script, we loop over them, and call the RESTlets with the JSON bodies. What do you think?

the usual is to have a restlet that creates the custom records. and a map/reduce to process the records

didn't use map/reduce before... do you have a sample?

dont use a restlet to also process the records, you wont be able to easily authenticate with it with serverside scripts

@battk got it, thanks 🙏

• You should consider Concurrency cost, • Restlet Governance units • time of creation and MR processing time

there are better queueing systems than NetSuite you could consider.

@Kevin

Concurrency cost

The client already uses a fixed number of workers to send the requests.

RESTlet Governance

I will use map/reduce as battk said, or you mean there is a limit on the number of requests it can receive, even within the concurrency limit?

time of creation and MR processing time

Not sure what do you mean... the requests will take time to get processed yes, it is a necessary tradeoff I guess.

Marwan - I would say, let restlet to receive batch size that can handle sufficient to Governance and then let Map/Reduce to handle it.

@Kevin what if it wasn't sent as patches? Anything could go wrong?

if then Restlet will end up throwing Governance limit out

Yes, I mean external queueing. Some cloud providers have 'free' tier that might meet your needs. One nice thing about an external queue is you can use it to (async) notify the processing result as well as being a queue for the data to process. There are also lots of client support for these queues, but it is an external system to think about.

Got it, thanks, will keep it in mind. ❤️ 🙏