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import logging
from typing import List, Optional, Callable, Any, Tuple
from orchestrator._interface import DaemonDescription
logger = logging.getLogger(__name__)
class MemoryAutotuner(object):
min_size_by_type = {
'mds': 4096 * 1048576,
'mgr': 4096 * 1048576,
'mon': 1024 * 1048576,
'crash': 128 * 1048576,
'keepalived': 128 * 1048576,
'haproxy': 128 * 1048576,
}
default_size = 1024 * 1048576
def __init__(
self,
daemons: List[DaemonDescription],
config_get: Callable[[str, str], Any],
total_mem: int,
):
self.daemons = daemons
self.config_get = config_get
self.total_mem = total_mem
def tune(self) -> Tuple[Optional[int], List[str]]:
tuned_osds: List[str] = []
total = self.total_mem
for d in self.daemons:
if d.daemon_type == 'mds':
total -= self.config_get(d.name(), 'mds_cache_memory_limit')
continue
if d.daemon_type != 'osd':
assert d.daemon_type
total -= max(
self.min_size_by_type.get(d.daemon_type, self.default_size),
d.memory_usage or 0
)
continue
if not self.config_get(d.name(), 'osd_memory_target_autotune'):
total -= self.config_get(d.name(), 'osd_memory_target')
continue
tuned_osds.append(d.name())
if total < 0:
return None, []
if not tuned_osds:
return None, []
per = total // len(tuned_osds)
return int(per), tuned_osds
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