import json
import math
import random
-import six
import time
from mgr_module import MgrModule, CommandResult
from threading import Event
self.pg_up_by_poolid = {}
for poolid in self.poolids:
self.pg_up_by_poolid[poolid] = osdmap.map_pool_pgs_up(poolid)
- for a,b in six.iteritems(self.pg_up_by_poolid[poolid]):
+ for a,b in self.pg_up_by_poolid[poolid].items():
self.pg_up[a] = b
def calc_misplaced_from(self, other_ms):
num = len(other_ms.pg_up)
misplaced = 0
- for pgid, before in six.iteritems(other_ms.pg_up):
+ for pgid, before in other_ms.pg_up.items():
if before != self.pg_up.get(pgid, []):
misplaced += 1
if num > 0:
if len(self.compat_ws) and \
not CRUSHMap.have_default_choose_args(self.initial.crush_dump):
ls.append('ceph osd crush weight-set create-compat')
- for osd, weight in six.iteritems(self.compat_ws):
+ for osd, weight in self.compat_ws.items():
ls.append('ceph osd crush weight-set reweight-compat %s %f' %
(osd, weight))
- for osd, weight in six.iteritems(self.osd_weights):
+ for osd, weight in self.osd_weights.items():
ls.append('ceph osd reweight osd.%d %f' % (osd, weight))
incdump = self.inc.dump()
for pgid in incdump.get('old_pg_upmap_items', []):
score = 0.0
sum_weight = 0.0
- for k, v in six.iteritems(count[t]):
+ for k, v in count[t].items():
# adjust/normalize by weight
if target[k]:
adjusted = float(v) / target[k] / float(num)
weight_map = ms.crush.get_take_weight_osd_map(rootid)
adjusted_map = {
osd: cw * osd_weight[osd]
- for osd,cw in six.iteritems(weight_map) if osd in osd_weight and cw > 0
+ for osd,cw in weight_map.items() if osd in osd_weight and cw > 0
}
sum_w = sum(adjusted_map.values())
assert len(adjusted_map) == 0 or sum_w > 0
pe.target_by_root[root] = { osd: w / sum_w
- for osd,w in six.iteritems(adjusted_map) }
+ for osd,w in adjusted_map.items() }
actual_by_root[root] = {
'pgs': {},
'objects': {},
self.log.debug('target_by_root %s' % pe.target_by_root)
# pool and root actual
- for pool, pi in six.iteritems(pool_info):
+ for pool, pi in pool_info.items():
poolid = pi['pool']
pm = ms.pg_up_by_poolid[poolid]
pgs = 0
pgs_by_osd = {}
objects_by_osd = {}
bytes_by_osd = {}
- for pgid, up in six.iteritems(pm):
+ for pgid, up in pm.items():
for osd in [int(osd) for osd in up]:
if osd == CRUSHMap.ITEM_NONE:
continue
pe.count_by_pool[pool] = {
'pgs': {
k: v
- for k, v in six.iteritems(pgs_by_osd)
+ for k, v in pgs_by_osd.items()
},
'objects': {
k: v
- for k, v in six.iteritems(objects_by_osd)
+ for k, v in objects_by_osd.items()
},
'bytes': {
k: v
- for k, v in six.iteritems(bytes_by_osd)
+ for k, v in bytes_by_osd.items()
},
}
pe.actual_by_pool[pool] = {
'pgs': {
k: float(v) / float(max(pgs, 1))
- for k, v in six.iteritems(pgs_by_osd)
+ for k, v in pgs_by_osd.items()
},
'objects': {
k: float(v) / float(max(objects, 1))
- for k, v in six.iteritems(objects_by_osd)
+ for k, v in objects_by_osd.items()
},
'bytes': {
k: float(v) / float(max(bytes, 1))
- for k, v in six.iteritems(bytes_by_osd)
+ for k, v in bytes_by_osd.items()
},
}
pe.total_by_pool[pool] = {
pe.count_by_root[root] = {
'pgs': {
k: float(v)
- for k, v in six.iteritems(actual_by_root[root]['pgs'])
+ for k, v in actual_by_root[root]['pgs'].items()
},
'objects': {
k: float(v)
- for k, v in six.iteritems(actual_by_root[root]['objects'])
+ for k, v in actual_by_root[root]['objects'].items()
},
'bytes': {
k: float(v)
- for k, v in six.iteritems(actual_by_root[root]['bytes'])
+ for k, v in actual_by_root[root]['bytes'].items()
},
}
pe.actual_by_root[root] = {
'pgs': {
k: float(v) / float(max(pe.total_by_root[root]['pgs'], 1))
- for k, v in six.iteritems(actual_by_root[root]['pgs'])
+ for k, v in actual_by_root[root]['pgs'].items()
},
'objects': {
k: float(v) / float(max(pe.total_by_root[root]['objects'], 1))
- for k, v in six.iteritems(actual_by_root[root]['objects'])
+ for k, v in actual_by_root[root]['objects'].items()
},
'bytes': {
k: float(v) / float(max(pe.total_by_root[root]['bytes'], 1))
- for k, v in six.iteritems(actual_by_root[root]['bytes'])
+ for k, v in actual_by_root[root]['bytes'].items()
},
}
self.log.debug('actual_by_pool %s' % pe.actual_by_pool)
b,
pe.target_by_root[a],
pe.total_by_root[a]
- ) for a, b in six.iteritems(pe.count_by_root)
+ ) for a, b in pe.count_by_root.items()
}
self.log.debug('stats_by_root %s' % pe.stats_by_root)
# total score is just average of normalized stddevs
pe.score = 0.0
- for r, vs in six.iteritems(pe.score_by_root):
- for k, v in six.iteritems(vs):
+ for r, vs in pe.score_by_root.items():
+ for k, v in vs.items():
if k in metrics:
pe.score += v
pe.score /= len(metrics) * len(roots)
# get current osd reweights
orig_osd_weight = { a['osd']: a['weight']
for a in ms.osdmap_dump.get('osds',[]) }
- reweighted_osds = [ a for a,b in six.iteritems(orig_osd_weight)
+ reweighted_osds = [ a for a,b in orig_osd_weight.items()
if b < 1.0 and b > 0.0 ]
# get current compat weight-set weights
orig_ws = self.get_compat_weight_set_weights(ms)
if not orig_ws:
return -errno.EAGAIN, 'compat weight-set not available'
- orig_ws = { a: b for a, b in six.iteritems(orig_ws) if a >= 0 }
+ orig_ws = { a: b for a, b in orig_ws.items() if a >= 0 }
# Make sure roots don't overlap their devices. If so, we
# can't proceed.
visited = {}
overlap = {}
root_ids = {}
- for root, wm in six.iteritems(pe.target_by_root):
+ for root, wm in pe.target_by_root.items():
for osd in wm:
if osd in visited:
if osd not in overlap:
# normalize weights under this root
root_weight = crush.get_item_weight(pe.root_ids[root])
- root_sum = sum(b for a,b in six.iteritems(next_ws)
+ root_sum = sum(b for a,b in next_ws.items()
if a in target.keys())
if root_sum > 0 and root_weight > 0:
factor = root_sum / root_weight
if best_pe.score < pe.score + fudge:
self.log.info('Success, score %f -> %f', pe.score, best_pe.score)
plan.compat_ws = best_ws
- for osd, w in six.iteritems(best_ow):
+ for osd, w in best_ow.items():
if w != orig_osd_weight[osd]:
self.log.debug('osd.%d reweight %f', osd, w)
plan.osd_weights[osd] = w
self.log.error('Error creating compat weight-set')
return r, outs
- for osd, weight in six.iteritems(plan.compat_ws):
+ for osd, weight in plan.compat_ws.items():
self.log.info('ceph osd crush weight-set reweight-compat osd.%d %f',
osd, weight)
result = CommandResult('')
# new_weight
reweightn = {}
- for osd, weight in six.iteritems(plan.osd_weights):
+ for osd, weight in plan.osd_weights.items():
reweightn[str(osd)] = str(int(weight * float(0x10000)))
if len(reweightn):
self.log.info('ceph osd reweightn %s', reweightn)