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Store tpv_cores, mem and gpus for analysis purposes #428
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That ends up in the galaxy database, doesn't it ?
I would not recommend this, does this offer anything the cgroup metrics don't ?
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Yes, the goal is to know how much we allocated originally, and compare it to the cgroup metrics to determine wastage. I don't think there's any easy way to figure that out from the cgroup. And the cgroup metrics will also eventually end up in the database also?
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I suppose that depends on what you record in the cgroup metrics, we have both allocated and peak memory and allocated CPU and runtime. Yes, cgroup metrics are already in the database, but we should not add more if it's redundant information. I think we already record everything we need for regression analysis, I made a start in https://github.com/mvdbeek/tpv-regression.
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That's great! This should fit in nicely at some point with: galaxyproject/tpv-shared-database#64 and https://github.com/nuwang/tpv-db-optimizer
How are you getting allocated CPU and memory? Which cgroup metrics are you using?
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The subqueries I'm seeking to simplify are https://github.com/nuwang/tpv-db-optimizer/blob/5e2c26fa6fef4aaf8cbe8662db596103e0281f20/views.py#L105
Which have been simplified in au and eu to this: https://github.com/nuwang/tpv-db-optimizer/blob/5e2c26fa6fef4aaf8cbe8662db596103e0281f20/views.py#L58
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I would ultimately use
api/jobs/{job_id}/metrics, but quick and dirty I just use gxadmin. The metrics are not customized, it's just the standard set, for memory it'sgalaxy_memory_mband for cpusgalaxy_slots