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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 |
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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.
IBM requests more detail on the interfaces used to create the output buffer provided to the read() API to better evaluate the request.
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