Closed hollowaykeanho closed 7 months ago
Pending Hugo release of feature.
Attempted 7811dcd9927174da9bc4572fa9f6150cf6babc40 first patch to observe for same pattern.
Attempted 0ac8d8ae8d7e18e81d143f80e4bb489ec613ad95 second patch to observe for same pattern. Automation and cached .Contributors data
are completely removed.
Shown positive sign. Memory caching capability positively have to be removed. Can't use Hugo's .Store
feature.
Memory did return back to its initial position rather than holding up similar to memory leak. Observe more once the remaining spec documentations are ported safely without needing more patches.
When refactoring at rapid speed, Hugo tends to occupy so much memory (upto 50% of 12GB) per its rendering and it looks like the garbage collection is very slow. We need a way to profile the memory hold up.
Applying 3rd attempt here 54400224919d902e438320e82cad33f44cef7d6f. Hugo server have to be killed periodically in order to keep the memory consumption at the sane level.
Finally, some release quality. How did the Hugo central team respond?
Haven't contact them yet... I want to root out everything before contacting them.
Tracking: gohugoio/hugo#11262
That was merged and closed.
Thanks @flexxgaad for informing but we're likely going to pivot from Hugo soon.
No, it's not because of Hugo but rather we had go beyond with our clients and is in need of going into Go Programming Language itself.
Description
Follow up with Bep and his latest release about Go's LRU optimization. It has the ability to garbage collect at will to reduce the memory consumption down effectively.
Discussion: https://discourse.gohugo.io/t/how-to-instruct-hugo-pipe-not-to-cache/44467/3
UPDATE:
It was detected that some part of the contents in
hestiaHUGO
is holding up the memory but inaccessible, behaving like a "memory leak".Expected Behavior
Lower memory consumption usage.
Current Behavior
Hugo + Blink Engine Brower + Gecko Engine Browser can really saturate the RAM easily when used simultenously for building the page contents.
Using ZORALab's Hestia
1.2.0
with the following stat:Memory consumption is at: (about 240MB, 2% of 12GB RAM)
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