04d88e8ff7
This will allow continuous integration to use the optimal number of compiler jobs, without having to resort to complex calculations from its scripting environment. Message-Id: <20180722172050.13148-1-avi@scylladb.com>
42 lines
1.2 KiB
Python
Executable File
42 lines
1.2 KiB
Python
Executable File
#!/usr/bin/python3
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#
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# Copyright (C) 2018 ScyllaDB
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#
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#
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# This file is part of Scylla.
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#
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# Scylla is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Scylla is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Scylla. If not, see <http://www.gnu.org/licenses/>.
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#
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# Guess and print out a good number of compiler jobs to
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# run. Note that on an interactive desktop you will want
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# to reduce this to allow more memory for your desktop,
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# to avoid swapping. This is oriented at continuous
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# integration machines that do not serve an interactive
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# load as well.
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import os
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procs = os.sysconf('SC_NPROCESSORS_ONLN')
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mem = os.sysconf('SC_PHYS_PAGES') * os.sysconf('SC_PAGESIZE')
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job_mem = 4000000000
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jobs = min(procs, mem // job_mem)
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jobs = max(jobs, 1)
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print(jobs)
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