1
0
mirror of https://github.com/librenms/librenms-agent.git synced 2024-05-09 09:54:52 +00:00
2018-10-15 21:00:16 +01:00

179 lines
6.7 KiB
Python

#!/usr/bin/env python3
import json
import subprocess
def main(args):
res = {}
ARCSTATS = open('/proc/spl/kstat/zfs/arcstats', 'r')
LINES = ARCSTATS.readlines()
LINES = [x.strip() for x in LINES]
STATS = {}
for line in LINES[2:]:
splitline = line.split()
STATS[splitline[0]] = int(splitline[2])
# ARC misc
DELETED = STATS['deleted']
EVICT_SKIP = STATS['evict_skip']
MUTEX_SKIP = STATS['mutex_miss']
RECYCLE_MISS = STATS['recycle_miss'] if 'recycle_miss' in STATS else 0
# ARC size
ARC_SIZE = STATS['size']
TARGET_SIZE_MAX = STATS['c_max']
TARGET_SIZE_MIN = STATS['c_min']
TARGET_SIZE = STATS['c']
TARGET_SIZE_PERCENT = TARGET_SIZE / TARGET_SIZE_MAX * 100
ARC_SIZE_PERCENT = ARC_SIZE / TARGET_SIZE_MAX * 100
TARGET_SIZE_ADAPTIVE_RATIO = TARGET_SIZE / TARGET_SIZE_MAX
MIN_SIZE_PERCENT = TARGET_SIZE_MIN / TARGET_SIZE_MAX * 100
# ARC size breakdown
MFU_SIZE = 0
RECENTLY_USED_PERCENT = 0
FREQUENTLY_USED_PERCENT = 0
P = STATS['p']
if ARC_SIZE >= TARGET_SIZE:
MFU_SIZE = ARC_SIZE - P
RECENTLY_USED_PERCENT = P / ARC_SIZE * 100
FREQUENTLY_USED_PERCENT = MFU_SIZE / ARC_SIZE * 100
else:
MFU_SIZE = TARGET_SIZE - P
RECENTLY_USED_PERCENT = P / TARGET_SIZE * 100
FREQUENTLY_USED_PERCENT = MFU_SIZE / TARGET_SIZE * 100
# ARC misc. efficient stats
ARC_HITS = STATS['hits']
ARC_MISSES = STATS['misses']
DEMAND_DATA_HITS = STATS['demand_data_hits']
DEMAND_DATA_MISSES = STATS['demand_data_misses']
DEMAND_METADATA_HITS = STATS['demand_metadata_hits']
DEMAND_METADATA_MISSES = STATS['demand_metadata_misses']
MFU_GHOST_HITS = STATS['mfu_ghost_hits']
MFU_HITS = STATS['mfu_hits']
MRU_GHOST_HITS = STATS['mru_ghost_hits']
MRU_HITS = STATS['mru_hits']
PREFETCH_DATA_HITS = STATS['prefetch_data_hits']
PREFETCH_DATA_MISSES = STATS['prefetch_data_misses']
PREFETCH_METADATA_HITS = STATS['prefetch_metadata_hits']
PREFETCH_METADATA_MISSES = STATS['prefetch_metadata_misses']
ANON_HITS = ARC_HITS - (MFU_HITS + MRU_HITS + MFU_GHOST_HITS + MRU_GHOST_HITS)
ARC_ACCESSES_TOTAL = ARC_HITS + ARC_MISSES
DEMAND_DATA_TOTAL = DEMAND_DATA_HITS + DEMAND_DATA_MISSES
PREFETCH_DATA_TOTAL = PREFETCH_DATA_HITS + PREFETCH_DATA_MISSES
REAL_HITS = MFU_HITS + MRU_HITS
# ARC efficiency percentages
CACHE_HIT_PERCENT = ARC_HITS / ARC_ACCESSES_TOTAL * 100
CACHE_MISS_PERCENT = ARC_MISSES / ARC_ACCESSES_TOTAL * 100
ACTUAL_HIT_PERCENT = REAL_HITS / ARC_ACCESSES_TOTAL * 100
DATA_DEMAND_PERCENT = DEMAND_DATA_HITS / DEMAND_DATA_TOTAL * 100
DATA_PREFETCH_PERCENT = PREFETCH_DATA_HITS / PREFETCH_DATA_TOTAL * 100 if PREFETCH_DATA_TOTAL != 0 else 0
ANON_HITS_PERCENT = ANON_HITS / ARC_HITS * 100 if ANON_HITS != 0 else 0
MRU_PERCENT = MRU_HITS / ARC_HITS * 100
MFU_PERCENT = MFU_HITS / ARC_HITS * 100
MRU_GHOST_PERCENT = MRU_GHOST_HITS / ARC_HITS * 100
MFU_GHOST_PERCENT = MFU_GHOST_HITS / ARC_HITS * 100
DEMAND_HITS_PERCENT = DEMAND_DATA_HITS / ARC_HITS * 100
PREFETCH_HITS_PERCENT = PREFETCH_DATA_HITS / ARC_HITS * 100
METADATA_HITS_PERCENT = DEMAND_METADATA_HITS / ARC_HITS * 100
PREFETCH_METADATA_HITS_PERCENT = DEMAND_METADATA_HITS / ARC_HITS * 100
DEMAND_MISSES_PERCENT = DEMAND_DATA_MISSES / ARC_MISSES * 100
PREFETCH_MISSES_PERCENT = PREFETCH_DATA_MISSES / ARC_MISSES * 100
METADATA_MISSES_PERCENT = DEMAND_METADATA_MISSES / ARC_MISSES * 100
PREFETCH_METADATA_MISSES_PERCENT = DEMAND_METADATA_MISSES / ARC_MISSES * 100
# pools
proc = subprocess.run(['/sbin/zpool', 'list', '-pH'], stdout=subprocess.PIPE, universal_newlines=True)
if proc.returncode != 0:
return proc.returncode
pools = []
FIELDS = ['name', 'size', 'alloc', 'free', 'expandsz', 'frag', 'cap', 'dedup']
for line in proc.stdout.splitlines():
info = dict(zip(FIELDS, line.split('\t')))
info['expandsz'] = 0 if info['expandsz'] == '-' else info['expandsz']
info['frag'] = info['frag'].rstrip('%')
info['frag'] = 0 if info['frag'] == '-' else info['frag']
info['dedup'] = info['dedup'].rstrip('x')
info['cap'] = info['cap'].rstrip('%')
pools.append(info)
res = {
'deleted': DELETED, # ARC misc
'evict_skip': EVICT_SKIP,
'mutex_skip': MUTEX_SKIP,
'recycle_miss': RECYCLE_MISS,
'arc_size': ARC_SIZE, # ARC size
'target_size_max': TARGET_SIZE_MAX,
'target_size_min': TARGET_SIZE_MIN,
'target_size': TARGET_SIZE,
'target_size_per': TARGET_SIZE_PERCENT,
'arc_size_per': ARC_SIZE_PERCENT,
'target_size_arat': TARGET_SIZE_ADAPTIVE_RATIO,
'min_size_per': MIN_SIZE_PERCENT,
'mfu_size': MFU_SIZE, # ARC size breakdown
'p': P,
'rec_used_per': RECENTLY_USED_PERCENT,
'freq_used_per': FREQUENTLY_USED_PERCENT,
'arc_hits': ARC_HITS, # ARC efficiency
'arc_misses': ARC_MISSES,
'demand_data_hits': DEMAND_DATA_HITS,
'demand_data_misses': DEMAND_DATA_MISSES,
'demand_meta_hits': DEMAND_METADATA_HITS,
'demand_meta_misses': DEMAND_METADATA_MISSES,
'mfu_ghost_hits': MFU_GHOST_HITS,
'mfu_hits': MFU_HITS,
'mru_ghost_hits': MRU_GHOST_HITS,
'mru_hits': MRU_HITS,
'pre_data_hits': PREFETCH_DATA_HITS,
'pre_data_misses': PREFETCH_DATA_MISSES,
'pre_meta_hits': PREFETCH_METADATA_HITS,
'pre_meta_misses': PREFETCH_METADATA_HITS,
'anon_hits': ANON_HITS,
'arc_accesses_total': ARC_ACCESSES_TOTAL,
'demand_data_total': DEMAND_DATA_TOTAL,
'pre_data_total': PREFETCH_DATA_TOTAL,
'real_hits': REAL_HITS,
'cache_hits_per': CACHE_HIT_PERCENT, # ARC efficiency percentages
'cache_miss_per': CACHE_MISS_PERCENT,
'actual_hit_per': ACTUAL_HIT_PERCENT,
'data_demand_per': DATA_DEMAND_PERCENT,
'data_pre_per': DATA_PREFETCH_PERCENT,
'anon_hits_per': ANON_HITS_PERCENT,
'mru_per': MRU_PERCENT,
'mfu_per': MFU_PERCENT,
'mru_ghost_per': MRU_GHOST_PERCENT,
'mfu_ghost_per': MFU_GHOST_PERCENT,
'demand_hits_per': DEMAND_HITS_PERCENT,
'pre_hits_per': PREFETCH_HITS_PERCENT,
'meta_hits_per': METADATA_HITS_PERCENT,
'pre_meta_hits_per': PREFETCH_METADATA_HITS_PERCENT,
'demand_misses_per': DEMAND_MISSES_PERCENT,
'pre_misses_per': PREFETCH_MISSES_PERCENT,
'meta_misses_per': METADATA_MISSES_PERCENT,
'pre_meta_misses_per': PREFETCH_METADATA_MISSES_PERCENT,
'pools': pools
}
print(json.dumps(res))
return 0
if __name__ == '__main__':
import sys
sys.exit(main(sys.argv[1:]))