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"""
Rados benchmarking sweep
"""
import contextlib
import logging
import re
from io import BytesIO
from itertools import product
from teuthology.orchestra import run
from teuthology import misc as teuthology
log = logging.getLogger(__name__)
@contextlib.contextmanager
def task(ctx, config):
"""
Execute a radosbench parameter sweep
Puts radosbench in a loop, taking values from the given config at each
iteration. If given, the min and max values below create a range, e.g.
min_replicas=1 and max_replicas=3 implies executing with 1-3 replicas.
Parameters:
clients: [client list]
time: seconds to run (default=120)
sizes: [list of object sizes] (default=[4M])
mode: <write|read|seq> (default=write)
repetitions: execute the same configuration multiple times (default=1)
min_num_replicas: minimum number of replicas to use (default = 3)
max_num_replicas: maximum number of replicas to use (default = 3)
min_num_osds: the minimum number of OSDs in a pool (default=all)
max_num_osds: the maximum number of OSDs in a pool (default=all)
file: name of CSV-formatted output file (default='radosbench.csv')
columns: columns to include (default=all)
- rep: execution number (takes values from 'repetitions')
- num_osd: number of osds for pool
- num_replica: number of replicas
- avg_throughput: throughput
- avg_latency: latency
- stdev_throughput:
- stdev_latency:
Example:
- radsobenchsweep:
columns: [rep, num_osd, num_replica, avg_throughput, stdev_throughput]
"""
log.info('Beginning radosbenchsweep...')
assert isinstance(config, dict), 'expecting dictionary for configuration'
# get and validate config values
# {
# only one client supported for now
if len(config.get('clients', [])) != 1:
raise Exception("Only one client can be specified")
# only write mode
if config.get('mode', 'write') != 'write':
raise Exception("Only 'write' mode supported for now.")
# OSDs
total_osds_in_cluster = teuthology.num_instances_of_type(ctx.cluster, 'osd')
min_num_osds = config.get('min_num_osds', total_osds_in_cluster)
max_num_osds = config.get('max_num_osds', total_osds_in_cluster)
if max_num_osds > total_osds_in_cluster:
raise Exception('max_num_osds cannot be greater than total in cluster')
if min_num_osds < 1:
raise Exception('min_num_osds cannot be less than 1')
if min_num_osds > max_num_osds:
raise Exception('min_num_osds cannot be greater than max_num_osd')
osds = range(0, (total_osds_in_cluster + 1))
# replicas
min_num_replicas = config.get('min_num_replicas', 3)
max_num_replicas = config.get('max_num_replicas', 3)
if min_num_replicas < 1:
raise Exception('min_num_replicas cannot be less than 1')
if min_num_replicas > max_num_replicas:
raise Exception('min_num_replicas cannot be greater than max_replicas')
if max_num_replicas > max_num_osds:
raise Exception('max_num_replicas cannot be greater than max_num_osds')
replicas = range(min_num_replicas, (max_num_replicas + 1))
# object size
sizes = config.get('size', [4 << 20])
# repetitions
reps = range(config.get('repetitions', 1))
# file
fname = config.get('file', 'radosbench.csv')
f = open('{}/{}'.format(ctx.archive, fname), 'w')
f.write(get_csv_header(config) + '\n')
# }
# set default pools size=1 to avoid 'unhealthy' issues
ctx.manager.set_pool_property('data', 'size', 1)
ctx.manager.set_pool_property('metadata', 'size', 1)
ctx.manager.set_pool_property('rbd', 'size', 1)
current_osds_out = 0
# sweep through all parameters
for osds_out, size, replica, rep in product(osds, sizes, replicas, reps):
osds_in = total_osds_in_cluster - osds_out
if osds_in == 0:
# we're done
break
if current_osds_out != osds_out:
# take an osd out
ctx.manager.raw_cluster_cmd(
'osd', 'reweight', str(osds_out-1), '0.0')
wait_until_healthy(ctx, config)
current_osds_out = osds_out
if osds_in not in range(min_num_osds, (max_num_osds + 1)):
# no need to execute with a number of osds that wasn't requested
continue
if osds_in < replica:
# cannot execute with more replicas than available osds
continue
run_radosbench(ctx, config, f, osds_in, size, replica, rep)
f.close()
yield
def get_csv_header(conf):
all_columns = [
'rep', 'num_osd', 'num_replica', 'avg_throughput',
'avg_latency', 'stdev_throughput', 'stdev_latency'
]
given_columns = conf.get('columns', None)
if given_columns and len(given_columns) != 0:
for column in given_columns:
if column not in all_columns:
raise Exception('Unknown column ' + column)
return ','.join(conf['columns'])
else:
conf['columns'] = all_columns
return ','.join(all_columns)
def run_radosbench(ctx, config, f, num_osds, size, replica, rep):
pool = ctx.manager.create_pool_with_unique_name()
ctx.manager.set_pool_property(pool, 'size', replica)
wait_until_healthy(ctx, config)
log.info('Executing with parameters: ')
log.info(' num_osd =' + str(num_osds))
log.info(' size =' + str(size))
log.info(' num_replicas =' + str(replica))
log.info(' repetition =' + str(rep))
for role in config.get('clients', ['client.0']):
assert isinstance(role, str)
PREFIX = 'client.'
assert role.startswith(PREFIX)
id_ = role[len(PREFIX):]
(remote,) = ctx.cluster.only(role).remotes.keys()
proc = remote.run(
args=[
'adjust-ulimits',
'ceph-coverage',
'{}/archive/coverage'.format(teuthology.get_testdir(ctx)),
'rados',
'--no-log-to-stderr',
'--name', role,
'-b', str(size),
'-p', pool,
'bench', str(config.get('time', 120)), 'write',
],
logger=log.getChild('radosbench.{id}'.format(id=id_)),
stdin=run.PIPE,
stdout=BytesIO(),
wait=False
)
# parse output to get summary and format it as CSV
proc.wait()
out = proc.stdout.getvalue()
all_values = {
'stdev_throughput': re.sub(r'Stddev Bandwidth: ', '', re.search(
r'Stddev Bandwidth:.*', out).group(0)),
'stdev_latency': re.sub(r'Stddev Latency: ', '', re.search(
r'Stddev Latency:.*', out).group(0)),
'avg_throughput': re.sub(r'Bandwidth \(MB/sec\): ', '', re.search(
r'Bandwidth \(MB/sec\):.*', out).group(0)),
'avg_latency': re.sub(r'Average Latency: ', '', re.search(
r'Average Latency:.*', out).group(0)),
'rep': str(rep),
'num_osd': str(num_osds),
'num_replica': str(replica)
}
values_to_write = []
for column in config['columns']:
values_to_write.extend([all_values[column]])
f.write(','.join(values_to_write) + '\n')
ctx.manager.remove_pool(pool)
def wait_until_healthy(ctx, config):
first_mon = teuthology.get_first_mon(ctx, config)
(mon_remote,) = ctx.cluster.only(first_mon).remotes.keys()
teuthology.wait_until_healthy(ctx, mon_remote)
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