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How to use get_total_memory method in lisa

Best Python code snippet using lisa_python

test_pgtune.py

Source:test_pgtune.py

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()...

get_concurrent_jobs.py

Source:get_concurrent_jobs.py

...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__':...

UtilsMethod.py

Source:UtilsMethod.py

...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["cpuä½¿ç¨ç"] = cls.get_total_cpu_percent()32        m["ååä½¿ç¨ç"] = cls.get_used_memory_percent()33        return m34if __name__ == '__main__':35    while True:...

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