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Assess 3.4.0 performance with large databases #7304
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(@alexxxmendonca, I think this captures the pain points identified by the SciELO/OJS working group, but please let me know if there were others.) |
@diegoabadan, it's too early to start tests, but I've added that scenario to the list. I may ping you later for some test data; we don't have anything with that large a number of articles in a single TOC. |
Thanks Alec. We have more than one case to test. :) |
Hi Alec - if that helps: we have a journal with about 6000 articles, but issues usually have 10-40 articles (so not a very large TOC). |
@mpbraendle, that's a fairly typical size and not likely to turn up bottlenecks in our environment. I think the delays you're experiencing will need to be resolved separately from this issue -- as posted here: https://forum.pkp.sfu.ca/t/submissions-again-loading-slowly/72688/8 |
We are going to 3.3 soon and will try to do testing with 3.4 right after that. This would mean probably october(ish). |
We'll need to audit warnings encountered with a large upgrade database. The categories of warnings from the SciELO data set are...
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These seem fine at a glance with a large data set. Closing for internal testing. |
OJS 3.4.0 introduces a lot of SQL changes that should improve performance but need to be tested.
In particular, assess the performance with a large database and the following operations/tasks:
stable-3_3_0-15
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