1、Replicator運行代碼具體分析
def replicate(self, override_devices=None, override_partitions=None):
"""Run a replication pass"""
self.start = time.time()
self.suffix_count = 0
self.suffix_sync = 0
self.suffix_hash = 0
self.replication_count = 0
self.last_replication_count = -1
self.partition_times = []
if override_devices is None:
override_devices = []
if override_partitions is None:
override_partitions = []
#heartbeat 為心跳函數 依據配置,配置沒有 默覺得 300
stats = eventlet.spawn(self.heartbeat)
#detect_lockup 檢查死鎖
lockup_detector = eventlet.spawn(self.detect_lockups)
eventlet.sleep() # Give spawns a cycle
try:
#replication 的 woker 數量
self.run_pool = GreenPool(size=self.concurrency)
# Returns a sorted list of jobs (dictionaries) that specify the
# partitions, nodes, etc to be synced.
# 返回專門為分區,節點同步工作的排序的列表
#
jobs = self.collect_jobs()
for job in jobs:
#重寫設備
if override_devices and job['device'] not in override_devices:
continue
#重寫分區
if override_partitions and \
job['partition'] not in override_partitions:
continue
#假設重寫設備及其重寫分區在job 中
dev_path = join(self.devices_dir, job['device'])
if self.mount_check and not ismount(dev_path):
self.logger.warn(_('%s is not mounted'), job['device'])
continue
#ring沒有改變
if not self.check_ring():
self.logger.info(_("Ring change detected. Aborting "
"current replication pass."))
return
#假設
if job['delete']:
self.run_pool.spawn(self.update_deleted, job)
else:
#運行的是更新
self.run_pool.spawn(self.update, job)
with Timeout(self.lockup_timeout):
self.run_pool.waitall()
except (Exception, Timeout):
self.logger.exception(_("Exception in top-level replication loop"))
self.kill_coros()
finally:
stats.kill()
lockup_detector.kill()
self.stats_line()
def collect_jobs(self):
"""
Returns a sorted list of jobs (dictionaries) that specify the
partitions, nodes, etc to be synced.
"""
jobs = []
ips = whataremyips()
#replication_ip 和replication_port 在 RingBuilder中 load加入
#self.object_ring = Ring(self.swift_dir, ring_name='object')
for local_dev in [dev for dev in self.object_ring.devs
if dev and dev['replication_ip'] in ips and
dev['replication_port'] == self.port]:
dev_path = join(self.devices_dir, local_dev['device'])
obj_path = join(dev_path, 'objects')
tmp_path = join(dev_path, 'tmp')
if self.mount_check and not ismount(dev_path):
self.logger.warn(_('%s is not mounted'), local_dev['device'])
continue
#Remove any file in a given path that that was last modified before mtime.
#/srv/1/node/sdb1/tmp下的文件
unlink_older_than(tmp_path, time.time() - self.reclaim_age)
if not os.path.exists(obj_path):
try:
mkdirs(obj_path)
except Exception:
self.logger.exception('ERROR creating %s' % obj_path)
continue
#root@kinglion-Lenovo-Product:/srv/1/node/sdb1/objects# ls
#13069 133971 4799 58208 94238
for partition in os.listdir(obj_path):
try:
job_path = join(obj_path, partition)
#推斷當前路徑是否為文件,假設是文件則刪除
if isfile(job_path):
#
# Clean up any (probably zero-byte) files where a
# partition should be.
self.logger.warning('Removing partition directory '
'which was a file: %s', job_path)
os.remove(job_path)
continue
#獲得每一個partion相應的設備
part_nodes = \
self.object_ring.get_part_nodes(int(partition))
#nodes為不是本機器nodes的其它replica-1個nodes
nodes = [node for node in part_nodes
if node['id'] != local_dev['id']]
#對objects下全部partion遍歷,故有jobs的長度最大為_replica2part2dev分區備份中出現此設備有此設備id的分區和
jobs.append(
dict(path=job_path,
device=local_dev['device'],
nodes=nodes,
#len(nodes)>len(part_nodes)-1的情況是當前節點已經不再是 當前partition所相應的設備了,有可能刪除了該設備
delete=len(nodes) > len(part_nodes) - 1,
partition=partition))
except (ValueError, OSError):
continue
#打亂順序
random.shuffle(jobs)
if self.handoffs_first:
# Move the handoff parts to the front of the list
#將handoff 節點移到jobs隊列的前邊
jobs.sort(key=lambda job: not job['delete'])
self.job_count = len(jobs)
return jobs
對于第二層for循環,os.listdir(obj_path)列出objects目錄下的全部partion,創建object是在objects目錄下創建objects所映射的分區號的文件件,再在partion目錄下創建以object的hash值后三位為名稱的目錄,然后再在后綴目錄下創建以object的hash值為目錄名的目錄,object會存儲為以object上傳時間戳為名.data為文件后綴的文件。通過理解一致性hash算法可知,增加虛擬節點后每個設備會多個虛擬節點和其相應,假設一個設備相應的分區為n則,obj_path下子目錄數目會<=n,由于存入的全部文件并不一定都能映射到當前設備所相應的分區。for循環首先判讀obj_path下是否為文件,若是文件則刪除,若不是則獲得該分區號,依據分區號獲得該分區號所映射的三個備份設備,并將設備id和本地設備id不想等的增加到nodes中,將nodes、path等信息增加到jobs中,最后打亂jobs的順序,再將handoff 節點移到隊列前邊。返回jobs。再到replicate方法,首先我們看job[delete]為False的情況。當job[delete]為False會運行update方法,下邊看update方法的詳細實現:
def update(self, job):
"""
High-level method that replicates a single partition.
:param job: a dict containing info about the partition to be replicated
"""
self.replication_count += 1
self.logger.increment('partition.update.count.%s' % (job['device'],))
begin = time.time()
try:
#get_hashes 從hashes.pkl獲取hashes值并更新 獲取本地的hashes job[path] 為 job_path = join(obj_path, partition) local_hash為hashes.pkl中的反序列化回來的內容 hashed為改變的
hashed, local_hash = tpool_reraise(
get_hashes, job['path'],
do_listdir=(self.replication_count % 10) == 0,
reclaim_age=self.reclaim_age)
self.suffix_hash += hashed
self.logger.update_stats('suffix.hashes', hashed)
#
attempts_left = len(job['nodes'])
#此時的nodes為除去本節點外的全部節點 由于 job['nodes]不包括本地節點get_more_nodes(int(job['partition']))能獲得除去本partion所相應節點 外的其它全部節點
nodes = itertools.chain(
job['nodes'],
self.object_ring.get_more_nodes(int(job['partition'])))
#此時attempts_left 為2 若果replica為3
while attempts_left > 0:
# If this throws StopIterator it will be caught way below
node = next(nodes)
attempts_left -= 1
try:
with Timeout(self.http_timeout):
#REPLICARE方法 相應 sever里面的RELICATE方法
resp = http_connect(
node['replication_ip'], node['replication_port'],
node['device'], job['partition'], 'REPLICATE',
'', headers=self.headers).getresponse()
if resp.status == HTTP_INSUFFICIENT_STORAGE:
self.logger.error(_('%(ip)s/%(device)s responded'
' as unmounted'), node)
attempts_left += 1
continue
if resp.status != HTTP_OK:
self.logger.error(_("Invalid response %(resp)s "
"from %(ip)s"),
{'resp': resp.status,
'ip': node['replication_ip']})
continue
#remote_hash 為 請求 'REPLICATE 返回的
remote_hash = pickle.loads(resp.read())
del resp
#找出本地后綴和遠程后綴不同的
suffixes = [suffix for suffix in local_hash if
local_hash[suffix] !=
remote_hash.get(suffix, -1)]
#假設沒有說明沒有變動,則繼續請求下一個節點
if not suffixes:
continue
#效果就是運行get_hashes方法
hashed, recalc_hash = tpool_reraise(
get_hashes,
job['path'], recalculate=suffixes,
reclaim_age=self.reclaim_age)
self.logger.update_stats('suffix.hashes', hashed)
local_hash = recalc_hash
#假如 local_hash 為 123 321 122 remote_hash 123 321 124 則 122為變化的
#文件路徑hash值后三位會不會反復
suffixes = [suffix for suffix in local_hash if
local_hash[suffix] !=
remote_hash.get(suffix, -1)]
#找到了不同的并知道其節點則將其同步到相應的節點,是基于推送模式的,故傳的數據是自己本地的數據
self.sync(node, job, suffixes) #同步變化的
with Timeout(self.http_timeout):
conn = http_connect(
node['replication_ip'], node['replication_port'],
node['device'], job['partition'], 'REPLICATE',
'/' + '-'.join(suffixes),
headers=self.headers)
conn.getresponse().read()
self.suffix_sync += len(suffixes)
self.logger.update_stats('suffix.syncs', len(suffixes))
except (Exception, Timeout):
self.logger.exception(_("Error syncing with node: %s") %
node)
#后綴數量 寫日志時會用到
self.suffix_count += len(local_hash)
except (Exception, Timeout):
self.logger.exception(_("Error syncing partition"))
finally:
self.partition_times.append(time.time() - begin)
self.logger.timing_since('partition.update.timing', begin)
update方法,中首先是獲得本地文件里當前設備所相應hashes.pkl文件里每一個后綴所相應的hahes值,形如{'a83': '0db7b416c9808517a1bb2157af20b09b'},當中key為文件內容hash值的后三字節,value為后綴目錄下全部子目錄下(即以文件內容的md5值為名字的目錄)全部.data文件的文件名稱字的md5值,能夠理解為全部文件名稱的md5值和。
hashed, local_hash = tpool_reraise(
get_hashes, job['path'],
do_listdir=(self.replication_count % 10) == 0,
reclaim_age=self.reclaim_age)
如上代碼片段會運行get_hashes方法,并將后邊參數傳遞給get_hashes
def get_hashes(partition_dir, recalculate=None, do_listdir=False,
reclaim_age=ONE_WEEK):
"""
Get a list of hashes for the suffix dir. do_listdir causes it to mistrust
the hash cache for suffix existence at the (unexpectedly high) cost of a
listdir. reclaim_age is just passed on to hash_suffix.
:param partition_dir: absolute path of partition to get hashes for
:param recalculate: 形如 recalculate=['a83']
list of suffixes(后綴,即 hash值的后綴 310即為后綴 root@kinglion-Lenovo-Product:/srv/1/node/sdb1/objects/94238# ls
310 hashes.pkl ) which should be recalculated(又一次計算) when got
:param do_listdir: force existence check for all hashes in the partition(對partion中的hashe強行運行檢查)
:param reclaim_age: age at which to remove tombstones
:returns: tuple of (number of suffix dirs hashed, dictionary of hashes)
"""
因沒有傳遞recalulate這個參數故僅僅有do_listdir為True時會強制運行又一次計算后綴文件下全部文件名稱字的hash值。文件名稱字是時間戳,時間戳變了說明文件有更新,故須要和遠程同步,檢查是否為同一個版本號,不是同一個版本號的須要把本地版本號傳遞給遠程server。
attempts_left = len(job['nodes'])
#此時的nodes為除去本節點外的全部節點 由于 job['nodes]不包括本地節點get_more_nodes(int(job['partition']))能獲得除去本partion所相應節點 外的其它全部節點
nodes = itertools.chain(
job['nodes'],
self.object_ring.get_more_nodes(int(job['partition'])))
如上代碼片段,attempts_left為當前job相應的分區去掉本地節點的其它的備份節點的個數。得到attempts_left后,下邊接著更新了nodes,當中get_more_nodes方法會得到出去本分區所相應節點之外的其它全部節點的迭代器,全部nodes是除去本節點外全部節點的一個迭代器。
下邊就是while循環,循環attempts_left次,
resp = http_connect(
node['replication_ip'], node['replication_port'],
node['device'], job['partition'], 'REPLICATE',
'', headers=self.headers).getresponse()
依據迭代得到的node請求,因副本節點首先被迭代到,故首先請求副本節點。若果成功請求讀取resp返回的內容,得到遠程設備同一個partion下的remote_hash
suffixes = [suffix for suffix in local_hash if
local_hash[suffix] !=
remote_hash.get(suffix, -1)]
#假設沒有說明沒有變動,則繼續請求下一個節點
if not suffixes:
continue
對照兩個設備同樣partion下的hashes.pkl文件同樣key而value不同的key。suffixes則說明和遠程備份文件都是同一個版本號,繼續請求下一個備份。假設不為空,則須要處理,同一時候再一次得到自己hashes.pkl目錄中的內容,由于上一次請求時間中可能有其它的備份已經有新的更新推送到本server了。得到本地最新的hashes.pkl內容后再一次對照,得到不同的同樣分區下的不同后綴
運行同步:
self.sync(node, job, suffixes) #同步變化的
在同步變化時作者如今使用rsync方法,沒有使用ssync,只是已經留出了ssync的實現,當ssync方法穩定時就會把rsync替換掉。(敬請期待)
def sync(self, node, job, suffixes): # Just exists for doc anchor point
"""
Synchronize local suffix directories from a partition with a remote
node.
:param node: the "dev" entry for the remote node to sync with
:param job: information about the partition being synced
:param suffixes: a list of suffixes which need to be pushed
:returns: boolean indicating success or failure
"""
# self.sync_method = getattr(self, conf.get('sync_method') or 'rsync')
#配置沒有 sync_method方法 則運行類自己的rsync方法
return self.sync_method(node, job, suffixes)
? sync_method方法從例如以下獲得,沒有配置則運行rsync方法
? self.sync_method = getattr(self, conf.get('sync_method') or 'rsync')
def rsync(self, node, job, suffixes):
"""
Uses rsync to implement the sync method. This was the first
sync method in Swift.
"""
if not os.path.exists(job['path']):
return False
args = [
'rsync',
'--recursive',
'--whole-file',
'--human-readable',
'--xattrs',
'--itemize-changes',
'--ignore-existing',
'--timeout=%s' % self.rsync_io_timeout,
'--contimeout=%s' % self.rsync_io_timeout,
'--bwlimit=%s' % self.rsync_bwlimit,
]
node_ip = rsync_ip(node['replication_ip'])
#包括了ip信息
if self.vm_test_mode:
rsync_module = '%s::object%s' % (node_ip, node['replication_port'])
else:
rsync_module = '%s::object' % node_ip
had_any = False
for suffix in suffixes:
spath = join(job['path'], suffix)
if os.path.exists(spath):
args.append(spath)
had_any = True
if not had_any:
return False
args.append(join(rsync_module, node['device'],
'objects', job['partition']))
#args里面包括了通的全部信息 包括設備名稱,設備分區
return self._rsync(args) == 0
rsync方法將接受的參數都放到args中,然后運行_rsync方法。
def _rsync(self, args):
"""
Execute the rsync binary to replicate a partition.
:returns: return code of rsync process. 0 is successful
"""
start_time = time.time()
ret_val = None
try:
with Timeout(self.rsync_timeout):
#此處即為同步操作了,推送模式
proc = subprocess.Popen(args,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
results = proc.stdout.read()
ret_val = proc.wait()
except Timeout:
self.logger.error(_("Killing long-running rsync: %s"), str(args))
proc.kill()
return 1 # failure response code
total_time = time.time() - start_time
for result in results.split('\n'):
if result == '':
continue
if result.startswith('cd+'):
continue
if not ret_val:
self.logger.info(result)
else:
self.logger.error(result)
if ret_val:
error_line = _('Bad rsync return code: %(ret)d <- %(args)s') % \
{'args': str(args), 'ret': ret_val}
if self.rsync_error_log_line_length:
error_line = error_line[:self.rsync_error_log_line_length]
self.logger.error(error_line)
elif results:
self.logger.info(
_("Successful rsync of %(src)s at %(dst)s (%(time).03f)"),
{'src': args[-2], 'dst': args[-1], 'time': total_time})
else:
self.logger.debug(
_("Successful rsync of %(src)s at %(dst)s (%(time).03f)"),
{'src': args[-2], 'dst': args[-1], 'time': total_time})
return ret_val
當中例如以下代碼片段就是運行詳細的推送:
#此處即為同步操作了,推送模式
proc = subprocess.Popen(args,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
若job[delete]為True出現這樣的情況的可能就是,因增刪了設備,Ring 又一次調整,當前partion中的備份不再有此server的ID如partion號為45678的在rebalance前的對于的備份設備的id為[1,2,3],假設當前設備id為1,則又一次rebalance后當前partion相應的備份為[4,2,3],則就會出現job[delete]為True的情況,我們看其代碼詳細實現:
def update_deleted(self, job):
"""
High-level method that replicates a single partition that doesn't
belong on (不應放在 )this node.
:param job: a dict containing info about the partition to be replicated
"""
#得到parition下相應的后綴
def tpool_get_suffixes(path):
return [suff for suff in os.listdir(path)
if len(suff) == 3 and isdir(join(path, suff))]
self.replication_count += 1
self.logger.increment('partition.delete.count.%s' % (job['device'],))
begin = time.time()
try:
responses = []
suffixes = tpool.execute(tpool_get_suffixes, job['path'])
if suffixes:
for node in job['nodes']:
success = self.sync(node, job, suffixes) #運行同步
if success:
with Timeout(self.http_timeout):
conn = http_connect(
node['replication_ip'],
node['replication_port'],
node['device'], job['partition'], 'REPLICATE',
'/' + '-'.join(suffixes), headers=self.headers)
conn.getresponse().read()
responses.append(success)
if self.handoff_delete:
# delete handoff if we have had handoff_delete successes
delete_handoff = len([resp for resp in responses if resp]) >= \
self.handoff_delete
else:
# delete handoff if all syncs were successful
delete_handoff = len(responses) == len(job['nodes']) and \
all(responses)
#suffixes為空或 請求的三個已經都響應成功后刪除本地partion下的文件
if not suffixes or delete_handoff:
self.logger.info(_("Removing partition: %s"), job['path'])
tpool.execute(shutil.rmtree, job['path'], ignore_errors=True)
except (Exception, Timeout):
self.logger.exception(_("Error syncing handoff partition"))
finally:
self.partition_times.append(time.time() - begin)
self.logger.timing_since('partition.delete.timing', begin)
至此 replicate操作就解說完成, 文中若有理解不合理之處,請指正,謝謝!
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