def __init__(self, datatypes, dest_rse_expr, max_bytes_hour, max_files_hour, max_bytes_hour_rse, max_files_hour_rse, min_popularity, min_recent_requests, max_replicas):
self._fsc = FreeSpaceCollector()
self._nmc = NetworkMetricsCollector()
self._added_cache = ExpiringDatasetCache(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), timeout=86400)
self._dc = DatasetCache(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), timeout=86400)
self._added_bytes = RedisTimeSeries(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), window=3600, prefix="added_bytes_")
self._added_files = RedisTimeSeries(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), window=3600, prefix="added_files_")
self._datatypes = datatypes.split(',')
self._dest_rse_expr = dest_rse_expr
self._max_bytes_hour = max_bytes_hour
self._max_files_hour = max_files_hour
self._max_bytes_hour_rse = max_bytes_hour_rse
self._max_files_hour_rse = max_files_hour_rse
self._min_popularity = min_popularity
self._min_recent_requests = min_recent_requests
self._max_replicas = max_replicas
rses = parse_expression(self._dest_rse_expr)
self._rses = {}
self._sites = {}
for rse in rses:
rse_attrs = list_rse_attributes(rse['rse'])
rse_attrs['rse'] = rse['rse']
self._rses[rse['rse']] = rse_attrs
self._sites[rse_attrs['site']] = rse_attrs
self._dst_penalties = {}
self._src_penalties = {}
self._print_params()
def __init__(self):
self._fsc = FreeSpaceCollector()
self._dc = DatasetCache()
rse_expr = "tier=2&type=DATADISK"
rse_attrs = parse_expression(rse_expr)
self._rses = []
for rse in rse_attrs:
self._rses.append(rse['rse'])
self.__setup_penalties()
def __init__(self):
self._fsc = FreeSpaceCollector()
self._dc = DatasetCache(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), timeout=86400)
rse_expr = "tier=2&type=DATADISK"
rse_attrs = parse_expression(rse_expr)
self._rses = []
for rse in rse_attrs:
self._rses.append(rse['rse'])
self.__setup_penalties()
class PlacementAlgorithm:
"""
Placement algorithm that focusses on free space on T2 DATADISK RSEs.
"""
def __init__(self):
self._fsc = FreeSpaceCollector()
self._dc = DatasetCache()
rse_expr = "tier=2&type=DATADISK"
rse_attrs = parse_expression(rse_expr)
self._rses = []
for rse in rse_attrs:
self._rses.append(rse['rse'])
self.__setup_penalties()
def __setup_penalties(self):
self._penalties = {}
for rse in self._rses:
self._penalties[rse] = 1.0
def __update_penalties(self):
for rse, penalty in self._penalties.items():
if penalty > 1.0:
self._penalties[rse] = penalty - 1
def place(self, did):
self.__update_penalties()
decision = {'did': ':'.join(did)}
if (not did[0].startswith('data')) and (not did[0].startswith('mc')):
decision['error_reason'] = 'not a data or mc dataset'
return decision
try:
meta = get_did(did[0], did[1])
except DataIdentifierNotFound:
decision['error_reason'] = 'did does not exist'
return decision
if meta['length'] is None:
meta['length'] = 0
if meta['bytes'] is None:
meta['bytes'] = 0
logging.debug('got %s:%s, num_files: %d, bytes: %d' %
(did[0], did[1], meta['length'], meta['bytes']))
decision['length'] = meta['length']
decision['bytes'] = meta['bytes']
last_accesses = self._dc.get_did(did)
self._dc.add_did(did)
decision['last_accesses'] = last_accesses
pop = get_popularity(did)
decision['popularity'] = pop or 0.0
if (last_accesses < 5) and (pop < 10.0):
decision['error_reason'] = 'did not popular enough'
return decision
free_rses = self._rses
available_reps = []
reps = list_dataset_replicas(did[0], did[1])
num_reps = 0
for rep in reps:
rse_attr = list_rse_attributes(rep['rse'])
if 'type' not in rse_attr:
continue
if rse_attr['type'] != 'DATADISK':
continue
if rep['state'] == ReplicaState.AVAILABLE:
if rep['rse'] in free_rses:
free_rses.remove(rep['rse'])
available_reps.append(rep['rse'])
num_reps += 1
decision['replica_rses'] = available_reps
decision['num_replicas'] = num_reps
if num_reps >= 5:
decision['error_reason'] = 'more than 4 replicas already exist'
return decision
rse_ratios = {}
space_info = self._fsc.get_rse_space()
for rse in free_rses:
rse_space = space_info[rse]
penalty = self._penalties[rse]
rse_ratios[rse] = float(rse_space['free']) / float(
rse_space['total']) * 100.0 / penalty
sorted_rses = sorted(rse_ratios.items(),
key=itemgetter(1),
reverse=True)
decision['destination_rse'] = sorted_rses[0][0]
decision['rse_ratios'] = sorted_rses
self._penalties[sorted_rses[0][0]] = 10.0
return decision
class PlacementAlgorithm:
"""
Placement algorithm that focusses on free space on T2 DATADISK RSEs. It incorporates network metrics for placement decisions.
"""
def __init__(self, datatypes, dest_rse_expr, max_bytes_hour, max_files_hour, max_bytes_hour_rse, max_files_hour_rse, min_popularity, min_recent_requests, max_replicas):
self._fsc = FreeSpaceCollector()
self._nmc = NetworkMetricsCollector()
self._added_cache = ExpiringDatasetCache(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), timeout=86400)
self._dc = DatasetCache(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), timeout=86400)
self._added_bytes = RedisTimeSeries(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), window=3600, prefix="added_bytes_")
self._added_files = RedisTimeSeries(config_get('c3po', 'redis_host'), config_get_int('c3po', 'redis_port'), window=3600, prefix="added_files_")
self._datatypes = datatypes.split(',')
self._dest_rse_expr = dest_rse_expr
self._max_bytes_hour = max_bytes_hour
self._max_files_hour = max_files_hour
self._max_bytes_hour_rse = max_bytes_hour_rse
self._max_files_hour_rse = max_files_hour_rse
self._min_popularity = min_popularity
self._min_recent_requests = min_recent_requests
self._max_replicas = max_replicas
rses = parse_expression(self._dest_rse_expr)
self._rses = {}
self._sites = {}
for rse in rses:
rse_attrs = list_rse_attributes(rse['rse'])
rse_attrs['rse'] = rse['rse']
self._rses[rse['rse']] = rse_attrs
self._sites[rse_attrs['site']] = rse_attrs
self._dst_penalties = {}
self._src_penalties = {}
self._print_params()
def _print_params(self):
logging.debug('Parameter Overview:')
logging.debug('Algorithm: t2_free_space_only_pop_with_network')
logging.debug('Datatypes: %s' % ','.join(self._datatypes))
logging.debug('Max bytes/files per hour: %d / %d' % (self._max_bytes_hour, self._max_files_hour))
logging.debug('Max bytes/files per hour per RSE: %d / %d' % (self._max_bytes_hour_rse, self._max_files_hour_rse))
logging.debug('Min recent requests / Min popularity: %d / %d' % (self._min_recent_requests, self._min_popularity))
logging.debug('Max existing replicas: %d' % self._max_replicas)
def __update_penalties(self):
for rse, penalty in self._dst_penalties.items():
if penalty < 100.0:
self._dst_penalties[rse] += 10.0
for rse, penalty in self._src_penalties.items():
if penalty < 100.0:
self._src_penalties[rse] += 10.0
def check_did(self, did):
decision = {'did': ':'.join(did)}
if (self._added_cache.check_dataset(':'.join(did))):
decision['error_reason'] = 'already added replica for this did in the last 24h'
return decision
if (not did[0].startswith('data')) and (not did[0].startswith('mc')):
decision['error_reason'] = 'not a data or mc dataset'
return decision
datatype = did[1].split('.')[4].split('_')[0]
if datatype not in self._datatypes:
decision['error_reason'] = 'wrong datatype'
return decision
try:
meta = get_did(did[0], did[1])
except DataIdentifierNotFound:
decision['error_reason'] = 'did does not exist'
return decision
if meta['length'] is None:
meta['length'] = 0
if meta['bytes'] is None:
meta['bytes'] = 0
logging.debug('got %s:%s, num_files: %d, bytes: %d' % (did[0], did[1], meta['length'], meta['bytes']))
decision['length'] = meta['length']
decision['bytes'] = meta['bytes']
total_added_bytes = sum(self._added_bytes.get_series('total'))
total_added_files = sum(self._added_files.get_series('total'))
logging.debug("total_added_bytes: %d" % total_added_bytes)
logging.debug("total_added_files: %d" % total_added_files)
if ((total_added_bytes + meta['bytes']) > self._max_bytes_hour):
decision['error_reason'] = 'above bytes limit of %d bytes' % self._max_bytes_hour
return decision
if ((total_added_files + meta['length']) > self._max_files_hour):
decision['error_reason'] = 'above files limit of %d files' % self._max_files_hour
return decision
last_accesses = self._dc.get_did(did)
self._dc.add_did(did)
decision['last_accesses'] = last_accesses
try:
pop = get_popularity(did)
decision['popularity'] = pop or 0.0
except Exception:
decision['error_reason'] = 'problems connecting to ES'
return decision
if (last_accesses < self._min_recent_requests) and (pop < self._min_popularity):
decision['error_reason'] = 'did not popular enough'
return decision
return decision
def place(self, did):
self.__update_penalties()
self._added_bytes.trim()
self._added_files.trim()
decision = self.check_did(did)
if 'error_reason' in decision:
return decision
meta = get_did(did[0], did[1])
available_reps = {}
reps = list_dataset_replicas(did[0], did[1])
num_reps = 0
space_info = self._fsc.get_rse_space()
max_mbps = 0.0
for rep in reps:
rse_attr = list_rse_attributes(rep['rse'])
src_rse = rep['rse']
if 'site' not in rse_attr:
continue
src_site = rse_attr['site']
src_rse_info = get_rse(src_rse)
if 'type' not in rse_attr:
continue
if rse_attr['type'] != 'DATADISK':
continue
if src_rse_info['availability'] & 4 == 0:
continue
if rep['state'] == ReplicaState.AVAILABLE:
if rep['available_length'] == 0:
continue
net_metrics = {}
net_metrics_type = None
for metric_type in ('fts', 'fax', 'perfsonar', 'dashb'):
net_metrics_type = metric_type
net_metrics = self._nmc.getMbps(src_site, metric_type)
if net_metrics:
break
if len(net_metrics) == 0:
continue
available_reps[src_rse] = {}
for dst_site, mbps in net_metrics.items():
if src_site == dst_site:
continue
if dst_site in self._sites:
if mbps > max_mbps:
max_mbps = mbps
dst_rse = self._sites[dst_site]['rse']
dst_rse_info = get_rse(dst_rse)
if dst_rse_info['availability'] & 2 == 0:
continue
site_added_bytes = sum(self._added_bytes.get_series(dst_rse))
site_added_files = sum(self._added_files.get_series(dst_rse))
if ((site_added_bytes + meta['bytes']) > self._max_bytes_hour_rse):
continue
if ((site_added_files + meta['length']) > self._max_files_hour_rse):
continue
queued = self._nmc.getQueuedFiles(src_site, dst_site)
# logging.debug('queued %s -> %s: %d' % (src_site, dst_site, queued))
if queued > 0:
continue
rse_space = space_info.get(dst_rse, {'free': 0, 'total': 1})
if src_rse not in self._src_penalties:
self._src_penalties[src_rse] = 100.0
src_penalty = self._src_penalties[src_rse]
if dst_rse not in self._dst_penalties:
self._dst_penalties[dst_rse] = 100.0
dst_penalty = self._dst_penalties[dst_rse]
free_space = float(rse_space['free']) / float(rse_space['total']) * 100.0
available_reps[src_rse][dst_rse] = {'free_space': free_space, 'src_penalty': src_penalty, 'dst_penalty': dst_penalty, 'mbps': float(mbps), 'metrics_type': net_metrics_type}
num_reps += 1
# decision['replica_rses'] = available_reps
decision['num_replicas'] = num_reps
if num_reps >= 5:
decision['error_reason'] = 'more than 4 replicas already exist'
return decision
src_dst_ratios = []
if max_mbps == 0.0:
decision['error_reason'] = 'could not find enough network metrics'
return decision
for src, dsts in available_reps.items():
for dst, metrics in dsts.items():
if dst in available_reps:
continue
bdw = (metrics['mbps'] / max_mbps) * 100.0
src_penalty = self._src_penalties[src]
dst_penalty = self._dst_penalties[dst]
ratio = ((metrics['free_space'] / 4.0) + bdw) * src_penalty * dst_penalty
src_dst_ratios.append((src, dst, ratio))
if len(src_dst_ratios) == 0:
decision['error_reason'] = 'found no suitable src/dst for replication'
return decision
sorted_ratios = sorted(src_dst_ratios, key=itemgetter(2), reverse=True)
logging.debug(sorted_ratios)
destination_rse = sorted_ratios[0][1]
source_rse = sorted_ratios[0][0]
decision['destination_rse'] = destination_rse
decision['source_rse'] = source_rse
# decision['rse_ratios'] = src_dst_ratios
self._dst_penalties[destination_rse] = 10.0
self._src_penalties[source_rse] = 10.0
self._added_cache.add_dataset(':'.join(did))
self._added_bytes.add_point(destination_rse, meta['bytes'])
self._added_files.add_point(destination_rse, meta['length'])
self._added_bytes.add_point('total', meta['bytes'])
self._added_files.add_point('total', meta['length'])
return decision