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Status Future consideration
Workspace DataPower Gateway
Created by Guest
Created on Mar 24, 2022

Efficient streaming of very large API payloads with low memory usage

DataPower API Gateway provides streaming to handle very large payloads (Giga bytes).

Currently streaming only improves latency, but does not limit memory consumption.

We need efficient streaming of very large API payloads using limited buffers in memory only, as it is not feasible to load the full payload into memory.

Idea priority High
  • Admin
    Ulas Cubuk
    Reply
    |
    Mar 10, 2023

    Thank you. We understand that the main use case here is to manage REST APIs with large payload (multiple giga bytes.), like file transfer/upload/download APIs. We agree that enhancing streaming capabilities would provide an improved adoption for REST APIs with large payload. Status of the idea is updated to Future Consideration. Given this, it would be good to have feedback/votes from other readers on the use case presented here. What kind of processing is required beyond pass-thru scenarios? Is there any upper limit? We will continue to monitor.

  • Guest
    Reply
    |
    Mar 1, 2023

    I am afraid but I cannot share a sample api definition, for the time being, we do block customers from publishing APIs with large payloads. You can take any REST API that e.g. returns a large payload in the response or returns a pdf document. Large in our case means up to multiple giga bytes.

    From a conversation with the gateway developement team we got the following messages:

    • For streaming mode, there is no memory used by the policy, there is no modified request and no modified response so the rule of thumb for "worst case" estimation is 2x payload size. This 2x assumes the request and response are same size which is often a bad assumption.

    • Steaming was not designed to conserve memory it was designed to conserve latency and that has a beneficial side effect of reducing memory.

    So we are looking for a solution that allows us to "stream large API payloads" via DP API gateway, the same way any http-proxy would do. So streaming capabilities should be improved to also optimize memory utilization on the gateways

  • Admin
    Ulas Cubuk
    Reply
    |
    Feb 1, 2023

    Apologies for the length of time this idea has been in the review status. In API Gateway with streaming we aim to reduce the memory footprint.

    In streaming mode, the API Gateway passes message payloads through without parsing and the API Gateway does not buffer the entire payload of a message into the memory. However this can only occur in limited situations as documented and highly dependent on the process.

    https://www.ibm.com/docs/en/datapower-gateway/10.0.1?topic=gateway-streaming-api-payload

    Would you be willing to open a support case and share your sample API via support case to be triaged?


  • Guest
    Reply
    |
    May 16, 2022

    In the IDEA FAQ i found the following statement:

    How quickly will I hear back from IBM once I’ve submitted an idea?We try to get back to all submissions within 30 days and our goal is to give you a decision within 90 days. The product management team may contact you to ask for additional information or feedback as we refine your idea.

    So what is the current status of my IDEA, which I created 2 month ago?