考虑到我手上的服务器逐渐的增多,有时候需要大规模的部署同一个文件,例如因为方便使用systemtap这个工具定位问题,需要把手上几百台服务器同时安装kernel-debuginfo这个包,原有的方式采用一个源服务器,采用rsync或者scp之类的文件传输方式只能做到一个点往下分发这个文件,这个时候下发的速度就会比较的慢,基于以上原因,我写了一个基于bt协议传输文件的小工具,实际测试,传输到10个机房,70多台机器传输一个240M的这个内核文件,到所有的机器,源采用限速2m/s的上传速度,测试的结果大概只要140s,就可以全部传输完毕,这个效率是非常之高,如果不限速的情况下速度会更快,下面把这个程序开源出来。
-
#!/usr/bin/env python
-
-
import libtorrent as lt
-
import sys
-
import os
-
import time
-
from optparse import OptionParser
-
import socket
-
import struct
-
import fcntl
-
-
def get_interface_ip(ifname):
-
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-
return socket.inet_ntoa(fcntl.ioctl(s.fileno(), 0x8915, struct.pack('256s',
-
ifname[:15]))[20:24])
-
def ip2long(ip):
-
return reduce(lambda a,b:(a ip2long('172.33.255.255')) \
-
and (ip2long(ip) < ip2long('192.168.0.0') or ip2long(ip) > ip2long('192.168.255.255')):
-
return ip
-
except:
-
pass
-
-
return ip
-
-
def make_torrent(path, save):
-
fs = lt.file_storage()
-
lt.add_files(fs, path)
-
if fs.num_files() == 0:
-
print 'no files added'
-
sys.exit(1)
-
-
input = os.path.abspath(path)
-
basename = os.path.basename(path)
-
t = lt.create_torrent(fs, 0, 4 * 1024 * 1024)
-
-
t.add_tracker("")
-
t.set_creator('libtorrent %s' % lt.version)
-
-
lt.set_piece_hashes(t, os.path.split(input)[0], lambda x: sys.stderr.write('.'))
-
sys.stderr.write('\n')
-
-
save = os.path.dirname(input)
-
save = "%s/%s.torrent" % (save, basename)
-
f=open(save, "wb")
-
f.write(lt.bencode(t.generate()))
-
f.close()
-
print "the bt torrent file is store at %s" % save
-
-
-
def dl_status(handle):
-
while not (handle.is_seed()):
-
s = handle.status()
-
-
state_str = ['queued', 'checking', 'downloading metadata', \
-
'downloading', 'finished', 'seeding', 'allocating', 'checking fastresume']
-
print '\ractive_time: %d, %.2f%% complete (down: %.1f kb/s up: %.1f kB/s peers: %d, seeds: %d) %s' % \
-
(s.active_time, s.progress * 100, s.download_rate / 1000, s.upload_rate / 1000, \
-
s.num_peers, s.num_seeds, state_str[s.state]),
-
sys.stdout.flush()
-
-
time.sleep(1)
-
def seed_status(handle, seedtime=100):
-
seedtime = int(seedtime)
-
if seedtime < 100:
-
seedtime = 100
-
while seedtime > 0:
-
seedtime -= 1
-
s = handle.status()
-
-
state_str = ['queued', 'checking', 'downloading metadata', \
-
'downloading', 'finished', 'seeding', 'allocating', 'checking fastresume']
-
print '\rseed_time: %d, %.2f%% complete (down: %.1f kb/s up: %.1f kB/s peers: %d, seeds: %d) %s' % \
-
(s.active_time, s.progress * 100, s.download_rate / 1000, s.upload_rate / 1000, \
-
s.num_peers, s.num_seeds, state_str[s.state]),
-
sys.stdout.flush()
-
-
time.sleep(1)
-
-
def remove_torrents(torrent, session):
-
session.remove_torrent(torrent)
-
-
def read_alerts(session):
-
alert = session.pop_alert()
-
while alert:
-
#print alert, alert.message()
-
alert = session.pop_alert()
-
-
def download(torrent, path, upload_rate_limit=0, seedtime=100):
-
try:
-
session = lt.session()
-
session.set_alert_queue_size_limit(1024 * 1024)
-
-
sts = lt.session_settings()
-
sts.ssl_listen = False
-
sts.user_agent = "Thunder deploy system"
-
sts.tracker_completion_timeout = 5
-
sts.tracker_receive_timeout = 5
-
sts.stop_tracker_timeout = 5
-
sts.active_downloads = -1
-
sts.active_seeds = -1
-
sts.active_limit = -1
-
sts.auto_scrape_min_interval = 5
-
sts.udp_tracker_token_expiry = 120
-
sts.min_announce_interval = 1
-
sts.inactivity_timeout = 60
-
sts.connection_speed = 10
-
sts.allow_multiple_connections_per_ip = True
-
sts.max_out_request_queue = 128
-
sts.request_queue_size = 3
-
-
sts.use_read_cache = False
-
session.set_settings(sts)
-
-
session.set_alert_mask(lt.alert.category_t.tracker_notification | lt.alert.category_t.status_notification)
-
session.set_alert_mask(lt.alert.category_t.status_notification)
-
-
ipaddr = get_wan_ip_address()
-
#print ipaddr
-
if ipaddr == "":
-
session.listen_on(6881, 6881)
-
else:
-
session.listen_on(6881, 6881, ipaddr)
-
-
limit = int(upload_rate_limit)
-
if limit>=100:
-
session.set_upload_rate_limit(limit*1024)
-
session.set_local_upload_rate_limit(limit*1024)
-
print session.upload_rate_limit()
-
torrent_info = lt.torrent_info(torrent)
-
add_params = {
-
'save_path': path,
-
'storage_mode': lt.storage_mode_t.storage_mode_sparse,
-
'paused': False,
-
'auto_managed': True,
-
'ti': torrent_info,
-
}
-
-
handle = session.add_torrent(add_params)
-
-
read_alerts(session)
-
st = time.time()
-
dl_status(handle)
-
et = time.time() - st
-
print '\nall file download in %.2f\nstart to seeding\n' % et
-
sys.stdout.write('\n')
-
handle.super_seeding()
-
seed_status(handle, seedtime)
-
-
remove_torrents(handle, session)
-
assert len(session.get_torrents()) == 0
-
-
finally:
-
print 'download finished'
-
-
if __name__ == '__main__':
-
usage = "usage: %prog [options] \n \
-
%prog -d -f -s \n \
-
or \n \
-
%prog -m -p -s \n"
-
-
parser = OptionParser(usage=usage)
-
parser.add_option("-d", "--download", dest="download",
-
help="start to download file", action="store_false", default=True)
-
parser.add_option("-f", "--file", dest="file",
-
help="torrent file")
-
parser.add_option("-u", "--upload", dest="upload",
-
help="set upload rate limit, default is not limit", default=0)
-
parser.add_option("-t", "--time", dest="time",
-
help="set seed time, default is 100s", default=100)
-
parser.add_option("-p", "--path", dest="path",
-
help="to make torrent with this path")
-
parser.add_option("-m", "--make", dest="make",
-
help="make torrent", action="store_false", default=True)
-
parser.add_option("-s", "--save", dest="save",
-
help="file save path, default is store to ./", default="./")
-
(options, args) = parser.parse_args()
-
#download(sys.argv[1])
-
if len(sys.argv) != 6 and len(sys.argv) != 4 and len(sys.argv) != 8 and len(sys.argv) != 10:
-
parser.print_help()
-
sys.exit()
-
if options.download == False and options.file !="":
-
download(options.file, options.save, options.upload, options.time)
-
elif options.make == False and options.path != "":
-
make_torrent(options.path, options.save)
准备环境:
需要在所有的os上面安装一个libtorrent的库,下载地址:
记得编译的时候带上./configure -enable-python-binding,然后mak,make install,进入binding目录,make,make install就
可以运行这个小的工具
当然大规模部署不可能采用每一台都去编译安装的方式,只要把编译出来的libtorrent.so libtorrent-rasterbar.so.7的文件跟bt.py这个文件放到同一个目录,另外写一个shell脚本
lib=`dirname $0`
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$lib
python bt.py -d -f -s -t -u
使用方法:
首先在源服务器上面生成种子文件
python bt.py -m -p -s
发布文件
在源服务器上面,执行
python bt.py -d -f -s -t -u
其中做种时间默认设置的是100s,上传速度默认不限制,限制的速度单位是KB
下面的机器,直接可以
python bt.py -d -f -s -t
只要有一台机器完成了,就自动作为种子,在下载的过程中也会上传,任何一台机器都可以作为源服务器,当然了这里面还有中心的tracker服务器,脚本当中,我搭建了一个tracker源服务器,放到10.0.1.5端口是8760上面,当然大家也可以采用opentracker这个软件自己搭建一个tracker服务器,修改其中的源代码对应部分,另外考虑到发布都是私有文件,代码当作已经禁止了dht,如果还想更安全,就自己搭建一个私有的tracker server,具体搭建方法就使用一下搜索引擎,查找一下搭建的方法!
目前基本做到可以使用,后续考虑更简单一点,采用磁力链接的方式,这样就可以做到不用每台都要拷贝一个种子文件,采用一个单独的命令行就可以发布整个文件
转载自:http://blogread.cn/it/article/6816?f=wb
阅读(1381) | 评论(0) | 转发(0) |