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Status Future consideration
Workspace IBM i
Created by Guest
Created on Dec 15, 2023

Improve performance of IBM i IFS File Access for Large Files

When accessing large, multimegabyte IFS files (beyond 16MB) there is a noticable lag in response times by some interfaces, such as HLL languages. The C read() function with buffer that is a C++ vector or dynamically allocated TS memory seems to take a lot longer than it show. There are some interfaces such as the web server that seem to do an okay job with larger files. So this may be a programming issue, but little is documented to provide guidance. So this could be something that needs to be in the Work Management category instead of IFS.

Idea priority Medium
  • Guest
    Reply
    |
    Oct 31, 2024

    As mentioned I typically use a <vector> as the read() buffer, but I also use a *USRSPC (User Space) pointer as well. However, user space pointers are "limited" to 16MB. While I do not read 16MB at a time, when I file is larger than 16MB it does seem to move to a crawl. 

  • Guest
    Reply
    |
    Apr 23, 2024
    The C++ vector class is very useful, but has its downsides. It is a managed contiguous array. As the vector fills up to the allocated limit, more memory is allocated plus whatever was already being used. Then the contents of the old memory are copied into the new location. That will increase time linearly depending on how much storage the array is using. Use of any dynamically allocated data structure that uses reallocation and copy as part of internal memory management may see reduced performance as the data buffer grows.

    IBM requests more detail on the interfaces used to create the output buffer provided to the read() API to better evaluate the request.
  • Admin
    Sabine Jordan
    Reply
    |
    Jan 17, 2024

    The CEAC has reviewed this requirement and recommends that IBM view this as a MEDIUM to HIGH priority requirement that is important to address. This would particularly help users using things like MongoDB etc.

    Background: The COMMON Europe Advisory Council (CEAC) members have a broad range of experience in working with small and medium-sized IBM i customers. CEAC has a crucial role in working with IBM i development to help assess the value and impact of individual RFEs on the broader IBM i community and has therefore reviewed your RFE.

    To find out how CEAC help to shape the future of IBM i, see CEAC @ ibm.biz/BdYSYj and the article "The Five Hottest IBM i RFEs Of The Quarter" at ibm.biz/BdYSZT

    Sabine Jordan + Sara Andres – CEAC Program Manager, IBM