Python3 实现 BeansDB 与 GoBeansDB 间双向数据迁移
傅毅然
目录
1、Python3 实现 BeansDB 与 GoBeansDB 间双向数据迁移
3、Python3 BeansDB / GoBeansDB 连接 - libmc 驱动模块
4、Python3 MySQL 数据库连接 - PyMySQL 驱动模块
5、GoBeansproxy（proxy-access.log）日志部分输出内容
6、GoBeansDB（gobeansdb.log），即磁盘上的样子（256分区）
1、Python3 实现 BeansDB 与 GoBeansDB 间双向数据迁移
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
'''=============================================================
@Project -> File ：GobeansDB -> bidirectional_beansdb_gobeansdb.py
@IDE ：PyCharm
@Author ：Mr. Wufei
@Date ：2019/10/29 10:58
@Desc ：Python3 实现 BeansDB 与 GoBeansDB 间双向数据迁移
============================================================='''
import time
import datetime
import mysqlconn
import python3_libmc_beansdb as plb
class DataMigration(object):
def __init__(self, mysql_conn_dict, export_ips_port_list, import_ips_port_list):
"""
:param mysql_conn_dict: 一个包含 MySQL 连接所需信息的字典（格式：{'host': '127.0.0.1', 'port': 3306, 'user': 'test', 'passwd': 'test', 'db': 'test'}）
:param export_ips_port_list: 导出 BeansDB/GoBeansproxy 连接的 IP:PORT 列表（格式：['ip1:port1', 'ip2:port2']）
:param import_ips_port_list: 导入 BeansDB/GoBeansproxy 连接的 IP:PORT 列表（格式：['ip1:port1', 'ip2:port2']）
"""
self.__mysql_conn_dict = mysql_conn_dict
self.__export_ips_port_list = export_ips_port_list
self.__import_ips_port_list = import_ips_port_list
def _construct_sql(self, *args, image_date = 'None'):
"""
构造 SQL
:param args: 接收一个或多个图片 ID（image_id），只有当 image_date = 'None' 时才会构造条件是 image_id 的 SQL
:param image_date: 接收一个具体的日期（格式：2019-09-02）
:return: sql（一个标准的 SQL 语句）
"""
if image_date == 'None':
sql = '''
select
distinct image_path as image_key
from t_beansdb_image
where image_id in %s
''' %(args)
else:
start_ctime = str(image_date) + ' 00:00:00'
end_ctime = str(image_date) + ' 23:59:59'
sql = '''
select
distinct image_path as image_key
from t_beansdb_image
where image_ctime between "%s" and "%s"
''' %(start_ctime, end_ctime)
return sql
def _mysql_operations(self, mysql_conn_dict, sql):
"""
MySQL 操作
:param mysql_conn_dict: 一个包含 MySQL 连接所需信息的字典
:param sql: 一个可执行 SQL 语句
:return: 一个或多个图片分布式存储路径（即图片在 BeansDB/GoBeansDB 的 key）的列表
"""
image_keys_list = []
with mysqlconn.MySqlDB(host = mysql_conn_dict['host'], port = mysql_conn_dict['port'], user = mysql_conn_dict['user'], passwd = mysql_conn_dict['passwd'], db = mysql_conn_dict['db']) as mysqldb:
mysqldb.execute(sql)
for i in mysqldb:
image_keys_list.append(i['image_key'])
return image_keys_list
def _get_multi_list(self, ips_port_list, image_keys_list):
"""
获取所有（一个或多个）给定 key 的值（cost maxrss about 900M）
:param ips_port_list: BeansDB/GoBeansproxy 连接的 IP:PORT 列表（格式：['ip1:port1', 'ip2:port2']）
:param image_keys_list: 一个或多个图片分布式存储路径（即图片在 BeansDB/GoBeansDB 的 key）的列表（格式：[key1, key2, key3]）
:return: BeansDB/GoBeansDB 一个或多个 key-value 的字典（格式：{key1 : value1, key2 : value2 , key3 : value3}）【针对图片存储，上限为 720，最优为 100】
"""
mc = plb.InteractiveConn(ips_port_list)
image_keys_values_dict = mc.get_multi_list(image_keys_list)
return image_keys_values_dict
def _set_multi_dict(self, ips_port_list, image_keys_values_dict):
"""
BeansDB/GoBeansDB 同时设置一个或多个 key-value
:param ips_port_list: BeansDB/GoBeansproxy 连接的 IP:PORT 列表（格式：['ip1:port1', 'ip2:port2']）
:param image_keys_values_dict: BeansDB/GoBeansDB 一个或多个 key-value 的字典（格式：{key1 : value1, key2 : value2 , key3 : value3}）
:return: set_status（True/False）
"""
mc = plb.InteractiveConn(ips_port_list)
set_status = mc.set_multi_dict(image_keys_values_dict)
return set_status
def _date_verify(self, date):
"""
日期格式验证
:param date: 一个日期字符串，规定格式 "%Y-%m-%d"
:return: True/False
"""
try:
time.strptime(date, "%Y-%m-%d")
return True
except Exception:
return False
def _get_every_day(self, start_date, end_date):
"""
获取两时间区间内的每一天日期的列表
:param start_date: 开始日期（格式：2019-10-01）
:param end_date: 结束日期（格式：2019-10-03）
:return: date_list，日期列表（格式：['2019-10-01', '2019-10-02', '2019-10-02']），如果开始日期 > 结束日期则只返回开始日期
"""
date_list = []
# 根据指定的格式把开始日期和结束日期字符串解析为时间元组
start_date = datetime.datetime.strptime(start_date, "%Y-%m-%d")
end_date = datetime.datetime.strptime(end_date, "%Y-%m-%d")
# 判断开始日期与结束日期，如果开始日期 > 结束日期则只返回开始日期
if start_date > end_date:
date_str = start_date.strftime("%Y-%m-%d")
date_list.append(date_str)
return date_list
while start_date <= end_date:
date_str = start_date.strftime("%Y-%m-%d")
date_list.append(date_str)
start_date += datetime.timedelta(days = 1)
return date_list
def data_migration(self, *args, start_cdate = 'None', end_cdate = 'None'):
"""
数据迁移操作函数
:param args: 接收一个或多个图片 ID（image_id），只有当 start_cdate = 'None' and end_cdate = 'None' 才会生效
:param start_cdate: 开始日期（格式：2019-10-01）
:param end_cdate: 结束日期（格式：2019-10-03）
:return:
"""
sql_list = []
# 校验开始日期与结束日期，接收 True/False
start_cdate_verify = self._date_verify(start_cdate)
end_cdate_verify = self._date_verify(end_cdate)
# 如果仅开始日期不为 None
if start_cdate_verify and not end_cdate_verify:
sql = self._construct_sql(image_date = start_cdate)
sql_list.append(sql)
# 如果开始日期与结束日期均不为 None
elif start_cdate_verify and end_cdate_verify:
date_list = self._get_every_day(start_cdate, end_cdate)
for date in date_list:
sql = self._construct_sql(image_date = date)
sql_list.append(sql)
# 如果开始日期与结束日期均为 None，切 image_id 不为空
elif not start_cdate_verify and not end_cdate_verify and len(args) != 0:
sql = self._construct_sql(args)
sql_list.append(sql)
else:
return 'Parameter Error'
for sql in sql_list:
print(sql)
# 连接 MySQL，一个或多个图片分布式存储路径（即图片在 BeansDB/GoBeansDB 的 key）的列表
image_keys_list = self._mysql_operations(self.__mysql_conn_dict, sql)
# 获取列表长度，判断列表是否切片后循环执行
list_len = len(image_keys_list)
print('当前数据迁移 key-value 数量：', list_len)
# image_keys_values_dict 针对图片存储，上限为 720，最优为 100，当长度大于 360 时每次 100 循环执行
if list_len > 360:
# 取整除，列表切片准则
exactly_divisible = list_len // 100
list_num = 0
while list_num <= exactly_divisible:
slice_start = list_num * 100
# 判断是否为最后一次循环，当为最后一次是 stop 即为列表长度
if list_num == exactly_divisible:
slice_stop = list_len
else:
slice_stop = list_num * 100 + 100
# 连接BeansDB/GoBeansDB，获取所有（一个或多个）给定 key 的值
image_keys_values_dict = self._get_multi_list(self.__export_ips_port_list, image_keys_list[slice_start : slice_stop])
# 连接BeansDB/GoBeansDB，同时设置一个或多个 key-value（原理还是相当于依次执行 set）
set_status = self._set_multi_dict(self.__import_ips_port_list, image_keys_values_dict)
if not set_status:
# 如果为 False，不是整个 image_keys_values_dict 执行失败，而是个别 set 的值不存在，可忽略（因为可通过 Python 分析日志找出 set 失败的key）
# 当然，如果数据量小，可不用采取批量形式，set_key_value 即可
print('Data Migration Fail, Value does not exist.')
else:
print('>>> list_len: %d; slice_start: %d; slice_stop: %d' %(list_len, slice_start, slice_stop))
list_num += 1
else:
# 连接BeansDB/GoBeansDB，获取所有（一个或多个）给定 key 的值
image_keys_values_dict = self._get_multi_list(self.__export_ips_port_list, image_keys_list)
# 连接BeansDB/GoBeansDB，同时设置一个或多个 key-value
set_status = self._set_multi_dict(self.__import_ips_port_list, image_keys_values_dict)
if not set_status:
print('Data Migration Fail', image_keys_list)
else:
print('>>> list_len: %d' %(list_len))
# 等待 1s
time.sleep(1)
return 'Data Migration Successful'
"""
if __name__ == '__main__':
mysql_higo_base_dict = {'host': 'xx.xx.2.36', 'port': 3212, 'user': 'mycat_reader', 'passwd': 'mycat_reader', 'db': 'gobeansdb'}
beansdb_ips_port_list = ['xx.xx.1.93:8901', 'xx.xx.2.95:8901', 'xx.xx.5.17:8901']
gobeansproxy_ips_port_list = ['xx.xx.3.36:7905']
dm = DataMigration(mysql_higo_base_dict, beansdb_ips_port_list, gobeansproxy_ips_port_list)
imageid_tuple = (310125868450372947, 310125866679005166, 310125836579062994, 310125836139798152, 310125834126452919)
result = dm.data_migration(*imageid_tuple, start_cdate = '2019-10-01', end_cdate = '2019-10-30')
print(result)
"""2、以上实例输出部分结果
select
distinct image_path as image_key
from t_beansdb_image
where image_ctime between "2019-10-30 00:00:00" and "2019-10-30 23:59:59"
当前数据迁移 key-value 数量： 7392
>>> list_len: 7392; slice_start: 0; slice_stop: 100
>>> list_len: 7392; slice_start: 100; slice_stop: 200
>>> list_len: 7392; slice_start: 200; slice_stop: 300
>>> list_len: 7392; slice_start: 300; slice_stop: 400
>>> list_len: 7392; slice_start: 400; slice_stop: 500
>>> list_len: 7392; slice_start: 500; slice_stop: 600
>>> list_len: 7392; slice_start: 600; slice_stop: 700
>>> list_len: 7392; slice_start: 700; slice_stop: 800
>>> list_len: 7392; slice_start: 800; slice_stop: 900
>>> list_len: 7392; slice_start: 900; slice_stop: 1000
>>> list_len: 7392; slice_start: 1000; slice_stop: 1100
>>> list_len: 7392; slice_start: 1100; slice_stop: 1200
>>> list_len: 7392; slice_start: 1200; slice_stop: 1300
>>> list_len: 7392; slice_start: 1300; slice_stop: 1400
>>> list_len: 7392; slice_start: 1400; slice_stop: 1500
>>> list_len: 7392; slice_start: 1500; slice_stop: 1600
>>> list_len: 7392; slice_start: 1600; slice_stop: 1700
>>> list_len: 7392; slice_start: 1700; slice_stop: 1800
>>> list_len: 7392; slice_start: 1800; slice_stop: 1900
>>> list_len: 7392; slice_start: 1900; slice_stop: 2000
>>> list_len: 7392; slice_start: 2000; slice_stop: 2100
>>> list_len: 7392; slice_start: 2100; slice_stop: 2200
>>> list_len: 7392; slice_start: 2200; slice_stop: 2300
>>> list_len: 7392; slice_start: 2300; slice_stop: 2400
>>> list_len: 7392; slice_start: 2400; slice_stop: 2500
>>> list_len: 7392; slice_start: 2500; slice_stop: 2600
>>> list_len: 7392; slice_start: 2600; slice_stop: 2700
>>> list_len: 7392; slice_start: 2700; slice_stop: 2800
>>> list_len: 7392; slice_start: 2800; slice_stop: 2900
>>> list_len: 7392; slice_start: 2900; slice_stop: 3000
>>> list_len: 7392; slice_start: 3000; slice_stop: 3100
>>> list_len: 7392; slice_start: 3100; slice_stop: 3200
>>> list_len: 7392; slice_start: 3200; slice_stop: 3300
>>> list_len: 7392; slice_start: 3300; slice_stop: 3400
>>> list_len: 7392; slice_start: 3400; slice_stop: 3500
>>> list_len: 7392; slice_start: 3500; slice_stop: 3600
>>> list_len: 7392; slice_start: 3600; slice_stop: 3700
>>> list_len: 7392; slice_start: 3700; slice_stop: 3800
>>> list_len: 7392; slice_start: 3800; slice_stop: 3900
>>> list_len: 7392; slice_start: 3900; slice_stop: 4000
>>> list_len: 7392; slice_start: 4000; slice_stop: 4100
>>> list_len: 7392; slice_start: 4100; slice_stop: 4200
>>> list_len: 7392; slice_start: 4200; slice_stop: 4300
>>> list_len: 7392; slice_start: 4300; slice_stop: 4400
>>> list_len: 7392; slice_start: 4400; slice_stop: 4500
>>> list_len: 7392; slice_start: 4500; slice_stop: 4600
>>> list_len: 7392; slice_start: 4600; slice_stop: 4700
>>> list_len: 7392; slice_start: 4700; slice_stop: 4800
>>> list_len: 7392; slice_start: 4800; slice_stop: 4900
>>> list_len: 7392; slice_start: 4900; slice_stop: 5000
>>> list_len: 7392; slice_start: 5000; slice_stop: 5100
>>> list_len: 7392; slice_start: 5100; slice_stop: 5200
>>> list_len: 7392; slice_start: 5200; slice_stop: 5300
>>> list_len: 7392; slice_start: 5300; slice_stop: 5400
>>> list_len: 7392; slice_start: 5400; slice_stop: 5500
>>> list_len: 7392; slice_start: 5500; slice_stop: 5600
>>> list_len: 7392; slice_start: 5600; slice_stop: 5700
>>> list_len: 7392; slice_start: 5700; slice_stop: 5800
>>> list_len: 7392; slice_start: 5800; slice_stop: 5900
>>> list_len: 7392; slice_start: 5900; slice_stop: 6000
>>> list_len: 7392; slice_start: 6000; slice_stop: 6100
>>> list_len: 7392; slice_start: 6100; slice_stop: 6200
>>> list_len: 7392; slice_start: 6200; slice_stop: 6300
>>> list_len: 7392; slice_start: 6300; slice_stop: 6400
>>> list_len: 7392; slice_start: 6400; slice_stop: 6500
>>> list_len: 7392; slice_start: 6500; slice_stop: 6600
>>> list_len: 7392; slice_start: 6600; slice_stop: 6700
>>> list_len: 7392; slice_start: 6700; slice_stop: 6800
>>> list_len: 7392; slice_start: 6800; slice_stop: 6900
>>> list_len: 7392; slice_start: 6900; slice_stop: 7000
>>> list_len: 7392; slice_start: 7000; slice_stop: 7100
>>> list_len: 7392; slice_start: 7100; slice_stop: 7200
>>> list_len: 7392; slice_start: 7200; slice_stop: 7300
>>> list_len: 7392; slice_start: 7300; slice_stop: 7392
Data Migration Successful3、Python3 BeansDB / GoBeansDB 连接 - libmc 驱动模块
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
'''=========================================================
@Project -> File ：GoBeansDB -> python3_libmc_beansdb.py
@IDE ：PyCharm
@Author ：Mr. Wufei
@Date ：2019/10/28 20:01
@Desc ：Python3 BeansDB / GoBeansDB 连接 - libmc 驱动模块
========================================================='''
import libmc
class InteractiveConn(object):
def __init__(self, db_ips_port_list):
"""
推荐使用 libmc 客户端，获取所有（一个或多个）Client
:param db_ips_port_list: ['beansdb_ip1:beansdb_port1', 'beansdb_ip2:beansdb_port2']
"""
self.__mc = libmc.Client(db_ips_port_list)
def set_key_value(self, key, value):
"""
设置指定 key 的值：写入 K/V 到数据库。（日志重要信息截取：SET SUCC beansdb_ip:beansdb_port key）
:param key:
:param value:
:return: True/False
"""
return self.__mc.set(key, value)
def get_key(self, key):
"""
获取指定 key 的值，没有则返回 None。（日志重要信息截取：GET SUCC beansdb_ip:beansdb_port key）
:param key:
:return: value
"""
return self.__mc.get(key)
def del_key(self, key):
"""
删除指定 key。（日志重要信息截取：key 不存在时：DELETE SUCC NoWhere key；key 存在是：DELETE SUCC beansdb_ip:beansdb_port key）
:param key:
:return: True/False
"""
return self.__mc.delete(key)
def set_multi_dict(self, keys_values_dict):
"""
同时设置一个或多个 key-value。（日志重要信息截取同 set，相当于依次执行 set）
:param keys_values_dict: 字典 {key1 : value1, key2 : value2 , key3 : value3}
:return: True/False
"""
return self.__mc.set_multi(keys_values_dict)
def get_multi_list(self, keys_list):
"""
获取所有（一个或多个）给定 key 的值。（日志重要信息截取：GETM SUCC beansdb_ip1:beans_port1,beansdb_ip2:beansdb_port2,beansdb_ip3:beansdb_port3 key1 key2 key3）
:param keys_list: 列表 [key1, key2, key3]
:return: 字典 {key1 : value1, key2 : value2 , key3 : value3}
"""
return self.__mc.get_multi(keys_list)
def del_multi_list(self, keys_list):
"""
删除所有（一个或多个）给定 key 的值。（日志重要信息截取同 delete，相当于依次执行 delete）
:param keys_list: 列表 [key1, key2, key3]
:return: True/False
"""
return self.__mc.delete_multi(keys_list)4、Python3 MySQL 数据库连接 - PyMySQL 驱动模块
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''=================================================
@Project -> File ：GoBeansDB -> mysqlconn.py
@IDE ：PyCharm
@Author ：Mr. Wufei
@Date ：2019/10/23 21:00
@Desc ：Python3 MySQL 数据库连接 - PyMySQL 驱动模块
=================================================='''
import pymysql
class MySqlDB(object):
def __init__(self,host = 'localhost', port = 3306, user = 'root', passwd = 'root', db = '', charset = 'utf8'):
# 建立连接
self.conn = pymysql.connect(host = host, port = port, user = user, passwd = passwd, db = db, charset = charset)
# 创建游标，操作设置为字典类型
self.cur = self.conn.cursor(cursor = pymysql.cursors.DictCursor)
def __enter__(self):
# 返回游标
return self.cur
def __exit__(self, exc_type, exc_val, exc_tb):
# 提交数据库并执行
self.conn.commit()
# 关闭游标
self.cur.close()
# 关闭数据库连接
self.conn.close()5、GoBeansproxy（proxy-access.log）日志部分输出内容
2019/10/31 12:38:27.870089 V1 xx.xx.2.35:55875 SET SUCC 298251 xx.xx.3.36:7980,xx.xx.3.36:7981 2960 xxx/_x/ff/ca/3410c212014e76dd15f6b6a861fe_960_1280.cz.jpg
2019/10/31 12:38:27.873790 V1 xx.xx.2.35:55875 SET SUCC 462369 xx.xx.3.36:7980,xx.xx.3.36:7981 2837 xxx/_x/ff/cd/f3dd3f7fafd9295db55e7f2dea09_930_930.cz.jpg
2019/10/31 12:38:27.876399 V1 xx.xx.2.35:55875 SET SUCC 35104 xx.xx.3.36:7980,xx.xx.3.36:7981 2469 xxx/_x/ff/d2/9b763c842f0edbe7eb1e1a0b7a41_750_750.cz.jpg
2019/10/31 12:38:27.882297 V1 xx.xx.2.35:55875 SET SUCC 65953 xx.xx.3.36:7980,xx.xx.3.36:7981 5732 xxx/_x/ff/d5/4c727e741cc8b3ef68dfbaf358e6_750_750.cz.jpg
2019/10/31 12:38:27.884632 V1 xx.xx.2.35:55875 SET SUCC 65115 xx.xx.3.36:7980,xx.xx.3.36:7981 2164 xxx/_x/ff/da/18e6cb57c9ede5bbf9cb3d5f6c1c_750_750.cz.jpg
2019/10/31 12:38:27.889006 V1 xx.xx.2.35:55875 SET SUCC 179593 xx.xx.3.36:7980,xx.xx.3.36:7982 3864 xxx/_x/ff/dd/dedfa34815a550063b4ce5da480c_750_750.cz.jpg
2019/10/31 12:38:27.893357 V1 xx.xx.2.35:55875 SET SUCC 459013 xx.xx.3.36:7980,xx.xx.3.36:7982 3335 xxx/_x/ff/e6/553c78a2a257e8d7c8161fee308f_1500_1800.cz.jpg
2019/10/31 12:38:27.896031 V1 xx.xx.2.35:55875 SET SUCC 52614 xx.xx.3.36:7980,xx.xx.3.36:7981 2447 xxx/_x/ff/f2/2bbaa84c67fc19bc598e41c2e8e3_750_750.cz.jpg
2019/10/31 12:38:27.897877 V1 xx.xx.2.35:55875 SET SUCC 175097 xx.xx.3.36:7981,xx.xx.3.36:7980 1473 xxx/_x/ff/f2/b77697729f6ea9c6586366b2697a_800_800.cz.jpg
2019/10/31 12:38:27.900968 V1 xx.xx.2.35:55875 SET SUCC 110108 xx.xx.3.36:7980,xx.xx.3.36:7981 2851 xxx/_x/ff/f9/4565ae30b4e314e225b7247e4f76_960_1280.cz.jpg6、GoBeansDB（gobeansdb.log），即磁盘上的样子（256分区）
2019/10/31 12:37:05.079903 INFO data.go: 202 - create data file: /home/work/service/gobeansdb_cluster7980/beansdb/b/6/000.data
2019/10/31 12:37:05.097381 INFO data.go: 202 - create data file: /home/work/service/gobeansdb_cluster7980/beansdb/b/5/000.data
2019/10/31 12:37:05.110408 INFO data.go: 202 - create data file: /home/work/service/gobeansdb_cluster7980/beansdb/b/8/000.data
2019/10/31 12:37:05.169754 INFO data.go: 202 - create data file: /home/work/service/gobeansdb_cluster7980/beansdb/6/5/000.data
2019/10/31 12:37:05.193696 INFO data.go: 202 - create data file: /home/work/service/gobeansdb_cluster7980/beansdb/3/0/000.data
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