How to use get_total_memory method in lisa

Best Python code snippet using lisa_python

test_pgtune.py

Source:test_pgtune.py Github

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1# coding: utf-82"""3Test suite for PgTune.4"""5from unittest.mock import MagicMock, patch6import pytest7import smdba.postgresqlgate8class TestPgTune:9 """10 Test PgTune class.11 """12 def test_estimate(self):13 """14 Test estimation with 10 connection and 8GB RAM15 :return:16 """17 popen = MagicMock()18 popen().read = MagicMock(return_value="11.2")19 with patch("smdba.postgresqlgate.os.popen", popen):20 pgtune = smdba.postgresqlgate.PgTune(10)21 pgtune.get_total_memory = MagicMock(return_value=0x1e0384000)22 pgtune.estimate()23 assert pgtune.config['shared_buffers'] == '1920MB'24 assert pgtune.config['effective_cache_size'] == '5632MB'25 assert pgtune.config['work_mem'] == '192MB'26 assert pgtune.config['maintenance_work_mem'] == '480MB'27 assert pgtune.config['max_wal_size'] == '384MB'28 assert pgtune.config['checkpoint_completion_target'] == '0.7'29 assert pgtune.config['wal_buffers'] == '4MB'30 assert pgtune.config['constraint_exclusion'] == 'off'31 assert pgtune.config['max_connections'] == 1032 def test_estimate_high_values(self):33 """34 Test estimation with 400 connection and 32GB RAM35 :return:36 """37 popen = MagicMock()38 popen().read = MagicMock(return_value="11.2")39 with patch("smdba.postgresqlgate.os.popen", popen):40 pgtune = smdba.postgresqlgate.PgTune(400)41 pgtune.get_total_memory = MagicMock(return_value=0x773594000)42 pgtune.estimate()43 assert pgtune.config['shared_buffers'] == '7168MB'44 assert pgtune.config['effective_cache_size'] == '22528MB'45 assert pgtune.config['work_mem'] == '18MB'46 assert pgtune.config['maintenance_work_mem'] == '1024MB'47 assert pgtune.config['max_wal_size'] == '384MB'48 assert pgtune.config['checkpoint_completion_target'] == '0.7'49 assert pgtune.config['wal_buffers'] == '4MB'50 assert pgtune.config['constraint_exclusion'] == 'off'51 assert pgtune.config['max_connections'] == 40052 def test_estimate_low_memory(self):53 """54 Estimation should abort unsupported low memory systems.55 :return:56 """57 popen = MagicMock()58 popen().read = MagicMock(return_value="11.2")59 with patch("smdba.postgresqlgate.os.popen", popen):60 pgtune = smdba.postgresqlgate.PgTune(10)61 pgtune.get_total_memory = MagicMock(return_value=0xfefffff) # One byte less to 0xff00000 memory segment62 with pytest.raises(Exception) as exc:63 pgtune.estimate()...

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get_concurrent_jobs.py

Source:get_concurrent_jobs.py Github

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...23 for value in values:24 (k, v) = value.split('=', 1)25 sizes.append((k, parse_size(v)))26 setattr(args, self.dest, sizes)27def get_total_memory():28 if sys.platform.startswith('linux'):29 if os.path.exists("/proc/meminfo"):30 with open("/proc/meminfo") as meminfo:31 memtotal_re = re.compile(r'^MemTotal:\s*(\d*)\s*kB')32 for line in meminfo:33 match = memtotal_re.match(line)34 if match:35 return float(match.group(1)) * 2**1036 elif sys.platform == 'darwin':37 try:38 return int(subprocess.check_output(['sysctl', '-n', 'hw.memsize']))39 except Exception:40 return 041 else:42 return 043def main():44 parser = argparse.ArgumentParser()45 parser.add_argument("--memory-per-job", action=ParseSize, default=[], nargs='*')46 parser.add_argument("--reserve-memory", type=parse_size, default=0)47 args = parser.parse_args()48 mem_total_bytes = max(0, get_total_memory() - args.reserve_memory)49 try:50 cpu_cap = multiprocessing.cpu_count()51 except:52 cpu_cap = 153 concurrent_jobs = {}54 for job, memory_per_job in args.memory_per_job:55 num_concurrent_jobs = int(max(1, mem_total_bytes / memory_per_job))56 concurrent_jobs[job] = min(num_concurrent_jobs, cpu_cap)57 print json.dumps(concurrent_jobs)58 return 059if __name__ == '__main__':...

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UtilsMethod.py

Source:UtilsMethod.py Github

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...10 @classmethod11 def get_process_info(cls, pid):12 aa = {}13 mm = psutil.Process(pid)14 aa["process memory"] = round((mm.memory_percent()*cls.get_total_memory())/1024/1024/1024, 2)15 aa["process cpu"] = mm.cpu_percent(interval=1)16 return aa17 @classmethod18 def get_userd_memory(cls):19 used = m.used20 return used21 @classmethod22 def get_total_memory(cls):23 total = m.total24 return total25 @classmethod26 def get_used_memory_percent(cls):27 return round(float(cls.get_userd_memory())/float(cls.get_total_memory())*100, 2)28 @classmethod29 def get_all(cls):30 m = {}31 m["cpu使用率"] = cls.get_total_cpu_percent()32 m["内存使用率"] = cls.get_used_memory_percent()33 return m34if __name__ == '__main__':35 while True:...

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