def redis_cluster():
redis_nodes = [{
"host": "192.168.1.161",
"port": 7000
}, {
"host": "192.168.1.161",
"port": 7001
}, {
"host": "192.168.1.161",
"port": 7002
}, {
"host": "192.168.1.147",
"port": 7000
}, {
"host": "192.168.1.147",
"port": 7001
}, {
"host": "192.168.1.147",
"port": 7002
}]
try:
redisconn = StrictRedisCluster(startup_nodes=redis_nodes)
except Exception as e:
print("connect error!!")
sys.exit(1)
redisconn.hset("info1", "name", "yiruiduan")
redisconn.hset("info1", "age", 30)
redisconn.hset("info1", "id", 2)
# for key in redisconn.keys():
# redisconn.delete(key)
print(redisconn.keys())
class redis_cluster():
def __init__(self):
redis_nodes = [{
'host': '172.16.0.33',
'port': "9001"
}, {
'host': '172.16.0.33',
'port': "9002"
}, {
'host': '172.16.0.33',
'port': "9003"
}, {
'host': '172.16.0.33',
'port': "9004"
}, {
'host': '172.16.0.33',
'port': "9005"
}, {
'host': '172.16.0.33',
'port': "9006"
}]
try:
self.redisconn = StrictRedisCluster(startup_nodes=redis_nodes,
decode_responses=True,
password='******')
except Exception as e:
print("Connect Error! reason is %s" % (e))
sys.exit(1)
def flushdb(self, params):
for i in range(0, len(params)):
result = self.redisconn.delete(*self.redisconn.keys(
pattern=params[i]))
print(result)
return
def redis_cluster():
redis_nodes = [{
'host': '172.20.4.91',
'port': 7000
}, {
'host': '172.20.4.91',
'port': 7001
}, {
'host': '172.20.4.92',
'port': 7002
}, {
'host': '172.20.4.92',
'port': 7003
}, {
'host': '172.20.4.95',
'port': 7004
}, {
'host': '172.20.4.95',
'port': 7005
}]
try:
redisconn = StrictRedisCluster(startup_nodes=redis_nodes)
except Exception:
print("Connect Error!")
sys.exit(1)
keys = redisconn.keys("rc.item.ft.*")
for key in keys:
redisconn.delete(key)
print(len(keys))
def getRedisKeyValues(host, port, keyFilter):
try:
startup_nodes = [{"host": host, "port": port}]
rc = StrictRedisCluster(startup_nodes=startup_nodes, decode_responses=True)
info = rc.info()
for key in info:
print "%s: %s" % (key, info[key])
result = []
# keysCount = len(rc.keys())
count = 0
for key in rc.keys():
if count >= 1024:
break
else:
if key.find(keyFilter) != -1:
count += 1
# 查询类型
# (key, value)
result.append([key, getValue(rc, key)])
# pprint.pprint("type:" + rc.type(key) + "$key:" + key + "$value:" + getValue(rc, key))
# print rc.get(key)
return result
except Exception, e:
return [["<font color='red'>Error Info</font>", "<font color='red'>%s</font>" % (str(e) + "<br/>请检查ip和端口是否正确")]]
def get_online_pids_from_redis(peer_prefix="00010048"):
rc = StrictRedisCluster(startup_nodes=startup_nodes, decode_responses=True)
match_keys = rc.keys("PNIC_{0}*".format(peer_prefix))
peer_id_list = list()
for i in match_keys:
peer_id = i.replace("PNIC_", "")
peer_id_list.append(str(peer_id))
return peer_id_list
def get_peer_ids_from_redis(redis_cluster_hosts):
"""
get all peer_id PNIC_ form redis-cluster
:param redis_cluster_hosts:
:return:
"""
rc = StrictRedisCluster(startup_nodes=redis_cluster_hosts, decode_responses=True)
match_keys = rc.keys("PNIC_*")
peer_id_list = list()
for pnic_key in match_keys:
peer_id = str(pnic_key)[5:]
peer_id_list.append(peer_id)
return peer_id_list
def get_online_pids_from_redis(peer_prefix="00010048"):
"""
获得redis cluster里面所有的已登录节点peer id
:param peer_prefix: prefix视情况修改
:return:
"""
rc = StrictRedisCluster(startup_nodes=redis_startup_nodes,
decode_responses=True)
match_keys = rc.keys("PNIC_{0}*".format(peer_prefix))
peer_id_list = list()
for i in match_keys:
peer_id = i.replace("PNIC_", "")
peer_id_list.append(str(peer_id))
return peer_id_list
class RedisHandle(object):
def __init__(self, host, port, db=0):
nodes = [{"host": host, "port": port}]
self.redis_client = StrictRedisCluster(startup_nodes=nodes,
decode_responses=True)
# self.redis_client = redis.StrictRedis(host=host, port=port, db=db)
def get(self, redis_key):
logging.info("start to get value of redis_key: %s" % (redis_key))
return self.redis_client.get(redis_key)
def delete(self, redis_key):
logging.info("start to match redis_key: %s" % (redis_key))
keys = self.redis_client.keys(redis_key + "*")
for key in keys:
logging.info("start to delete redis_key: %s" % (key))
self.redis_client.delete(key)
class RedisProcess(object):
cluster_nodes = []
redisconn = None
def __init__(self, cluster_nodes):
self.cluster_nodes = cluster_nodes
self.connect()
def connect(self):
try:
self.redisconn = StrictRedisCluster(
startup_nodes=self.cluster_nodes)
except Exception as e:
print("Connect Error!")
sys.exit(1)
def clear(self, pattern):
print('Clean keys with pattern: ' + pattern)
print('started')
if self.redisconn:
for key in self.redisconn.keys(pattern):
self.redisconn.delete(key)
print(str(key) + ' removed')
import redis
from rediscluster import StrictRedisCluster
serverip='101.200.214.57'
serverip='192.168.1.146'
startup_nodes=[{"host": serverip,"port": i} for i in xrange(7003, 7004)]
print startup_nodes
r = StrictRedisCluster(startup_nodes=startup_nodes)
print r.keys()
#print r.hgetall("41_56a466e0ce65")
class AmazonRedis:
def __init__(self):
try:
self.rds = StrictRedisCluster(startup_nodes=StartupNodesServer,
password='******',
decode_responses=True)
except:
traceback.print_exc()
def count_keys(self): # 查询当前库里有多少key
return self.rds.dbsize()
# key操作
def get_random_key(self): # 从当前数据库随机返回一个key， 没有返回None， 不删除key
return self.rds.randomkey()
def exists_key(self, key):
return self.rds.exists(key)
def delete_key(self, key):
self.rds.delete(key)
def get_all_keys(self):
return self.rds.keys()
def move_keys(self, key, num): # 如果移入的库中已有此key，则无法移入
self.rds.move(key, num)
# String操作
def set_key_value(self, key, value):
self.rds.set(key, value)
def get_key_value(self, key): # 没有对应key返回None
return self.rds.get(key)
# Hash操作
def set_hash(self, key, mapping): # mapping为字典, 已存在key会覆盖mapping
self.rds.hmset(key, mapping)
def delete_hash_field(self, key, field): # 删除hash表中某个字段，无论字段是否存在
self.rds.hdel(key, field)
def exists_hash_field(self, key, field): # 检查hash表中某个字段存在
return self.rds.hexists(key, field)
def get_hash_field(self, key, field): # 获取hash表中指定字段的值, 没有返回None
return self.rds.hget(key, field)
def get_hash_all_field(self, key): # 获取hash表中指定key所有字段和值,以字典形式，没有key返回空字典
return self.rds.hgetall(key)
def increase_hash_field(self, key, field,
increment): # 为hash表key某个字段的整数型值增加increment
self.rds.hincrby(key, field, increment)
# List操作
def rpush_into_lst(self, key, value): # url从头至尾入列
self.rds.rpush(key, value)
def lpush_into_lst(self, key, value): # url从尾至头入列
self.rds.lpush(key, value)
def lpop_lst_item(self, key): # 从头取出列表第一个元素(元组形式)，没有返回None
return self.rds.lpop(key)
def blpop_lst_item(self, key): # 从头取出列表第一个元素(元组形式)，并设置超时，超时返回None
return self.rds.blpop(key, timeout=1)
def rpop_lst_item(self, key): # 从尾取出列表最后一个元素(元组形式)，没有返回None
return self.rds.rpop(key)
def brpop_lst_item(self, key): # 从尾取出列表最后一个元素(元组形式)，并设置超时，超时返回None
return self.rds.brpop(key, timeout=1)
# Set操作
def add_set(self, key, value):
self.rds.sadd(key, value)
def is_member(self, key, value):
return self.rds.sismember(key, value)
def pop_member(self, key): # 随机移除一个值并返回该值,没有返回None
return self.rds.spop(key)
def pop_members(self, key, num): # 随机取出num个值（非移除），列表形式返回这些值，没有返回空列表
return self.rds.srandmember(key, num)
def remove_member(self, key, value): # 移除集合中指定元素
self.rds.srem(key, value)
def get_all_members(self, key): # 返回集合中全部元素,不删除
return self.rds.smembers(key)
def remove_into(self, key1, key2, value): # 把集合key1中value元素移入集合key2中
self.rds.smove(key1, key2, value)
def count_members(self, key): # 计算集合中成员数量
return self.rds.scard(key)
# for key in info:
# print "%s: %s" % (key, info[key])
# pprint.pprint(dir(rc))
print "-------------------"
# pprint.pprint( rc.keys())
# zset
rc.zadd("zset_", 9000, "zset.cc")
# set
rc.sadd("set_", "set.cc")
# hash
rc.hset("hash", "filed", "123456789")
# string
rc.set("foo", "xiaorui.cc")
# list
rc.lpush("list", "1")
rc.lpush("list", "2")
keysCount = len(rc.keys())
if keysCount < 1024:
for key in rc.keys():
# 查询类型
pprint.pprint("type:" + rc.type(key) + "$key:" + key + "$value:" + getValue(rc, key))
# print rc.get(key)
else:
print "keysCount:" + str(keysCount)
pass
class DB(object):
def __init__(self, config):
self.config = config
cache_backend = self.config_get('cache_backend') or 'redis'
if cache_backend == 'redis':
self.__backend = cache_backend
self.__host = self.config_get('cache_host') or '127.0.0.1'
self.__port = self.config_get('cache_port') or 6379
self.__db_name = self.config_get('cache_db_name') or 0
self.db = redis.StrictRedis(host=self.__host,
port=self.__port,
db=self.__db_name)
elif cache_backend == 'redis-cluster':
self.__backend = cache_backend
node1_host = self.config_get('node1_host')
node1_port = self.config_get('node1_port')
node2_host = self.config_get('node2_host')
node2_port = self.config_get('node2_port')
node3_host = self.config_get('node3_host')
node3_port = self.config_get('node3_port')
node4_host = self.config_get('node4_host')
node4_port = self.config_get('node4_port')
node5_host = self.config_get('node5_host')
node5_port = self.config_get('node5_port')
node6_host = self.config_get('node6_host')
node6_port = self.config_get('node6_port')
self.__host = (node1_host, node2_host, node3_host, node4_host,
node5_host, node6_host)
self.__port = (node1_port, node2_port, node3_port, node4_port,
node5_port, node6_port)
self.__db_name = 'cluster'
cluster_nodes = [{
'host': node1_host,
'port': node1_port
}, {
'host': node2_host,
'port': node2_port
}, {
'host': node3_host,
'port': node3_port
}, {
'host': node4_host,
'port': node4_port
}, {
'host': node5_host,
'port': node5_port
}, {
'host': node6_host,
'port': node6_port
}]
self.db = StrictRedisCluster(startup_nodes=cluster_nodes,
decode_responses=True)
self.set_value = self.db.set
self.has_value = self.db.exists
self.remove_value = self.db.delete
def config_get(self, name):
if isinstance(self.config, ConfigParser):
return self.config.get('app:api', name)
else:
return self.config.get('app:api').get(name)
def get(self, key):
return self.db.get(key)
def keys(self, prefix):
keys = self.db.keys(prefix)
return keys
def put(self, key, value, ex=90000):
self.set_value(key, value, ex)
def remove(self, key):
self.remove_value(key)
def has(self, key):
return self.has_value(key)
def scan_iter(self, prefix=None):
return [key for key in self.db.scan_iter(prefix)]
def remove_pattern(self, prefix):
for key in self.db.scan_iter(prefix):
self.remove(key)
def flushall(self):
self.db.flushall()
@property
def backend(self):
return self.__backend
@property
def host(self):
return self.__host
@property
def port(self):
return self.__port
@property
def db_name(self):
return self.__db_name
class RedisQueue(object):
# def __init__(self, redis_type=None,**args):
#
# if redis_type == "cluster":
# try:
# self.rc = StrictRedisCluster(**args)
# except Exception as e:
# print("Connect Error!")
# else:
# try:
# self.pool = redis.ConnectionPool(**args)
# self.rc = redis.Redis(connection_pool=self.pool)
# except Exception as e:
# print("Connect Error!")
def __init__(self, res):
redis_type = res[1]
if redis_type == "cluster":
try:
con = res[0]
self.rc = StrictRedisCluster(**con)
except Exception as e:
print(e)
print("Connect Error!")
else:
try:
con = res[0]
self.pool = redis.ConnectionPool(**con)
self.rc = redis.Redis(connection_pool=self.pool)
except Exception as e:
print(e)
print("Connect Error!")
def get_all(self, key, block=True, timeout=None):
for i in self.rc.keys():
if key in str(i):
type = self.rc.type(i)
if type == 'string':
vals = self.rc.get(i)
elif type == 'list':
vals = self.rc.lrange(i, 0, -1)
elif type == 'set':
vals = self.rc.smembers(i)
elif type == 'zset':
vals = self.rc.zrange(i, 0, -1)
elif type == "hash":
vals = self.rc.hgetall(i)
else:
print(type, i)
return list(vals[0])
def keys(self):
keys = self.rc.keys()
return keys
def iskey(self, key):
if self.rc.exists(key):
return 1
else:
return 0
def get(self, key):
res = self.rc.get(key)
nres = json.loads(res)
return nres
def put(self, key, value):
new_value = json.dumps(value)
res = self.rc.set(key, new_value)
def delall(self, key):
self.rc.delete(key)
# print(getredis('ak_sit'))
#RedisQueue(getredis('ak_cluster'))
class RedisDB:
def __init__(self,
ip_ports=None,
db=None,
user_pass=None,
url=None,
decode_responses=True,
service_name=None,
max_connections=32,
**kwargs):
"""
redis的封装
Args:
ip_ports: ip:port 多个可写为列表或者逗号隔开 如 ip1:port1,ip2:port2 或 ["ip1:port1", "ip2:port2"]
db:
user_pass:
url:
decode_responses:
service_name: 适用于redis哨兵模式
"""
# 可能会改setting中的值，所以此处不能直接赋值为默认值，需要后加载赋值
if ip_ports is None:
ip_ports = setting.REDISDB_IP_PORTS
if db is None:
db = setting.REDISDB_DB
if user_pass is None:
user_pass = setting.REDISDB_USER_PASS
if service_name is None:
service_name = setting.REDISDB_SERVICE_NAME
self._is_redis_cluster = False
try:
if not url:
ip_ports = (ip_ports if isinstance(ip_ports, list) else
ip_ports.split(","))
if len(ip_ports) > 1:
startup_nodes = []
for ip_port in ip_ports:
ip, port = ip_port.split(":")
startup_nodes.append({"host": ip, "port": port})
if service_name:
log.debug("使用redis哨兵模式")
hosts = [(node["host"], node["port"])
for node in startup_nodes]
sentinel = Sentinel(hosts, socket_timeout=3, **kwargs)
self._redis = sentinel.master_for(
service_name,
password=user_pass,
db=db,
redis_class=redis.StrictRedis,
decode_responses=decode_responses,
max_connections=max_connections,
**kwargs)
else:
log.debug("使用redis集群模式")
self._redis = StrictRedisCluster(
startup_nodes=startup_nodes,
decode_responses=decode_responses,
password=user_pass,
max_connections=max_connections,
**kwargs)
self._is_redis_cluster = True
else:
ip, port = ip_ports[0].split(":")
self._redis = redis.StrictRedis(
host=ip,
port=port,
db=db,
password=user_pass,
decode_responses=decode_responses,
max_connections=max_connections,
**kwargs)
else:
self._redis = redis.StrictRedis.from_url(
url, decode_responses=decode_responses)
except Exception as e:
raise
else:
if not url:
log.debug("连接到redis数据库 %s db%s" % (ip_ports, db))
else:
log.debug("连接到redis数据库 %s" % (url))
self._ip_ports = ip_ports
self._db = db
self._user_pass = user_pass
self._url = url
def __repr__(self):
if self._url:
return "<Redisdb url:{}>".format(self._url)
return "<Redisdb ip_ports: {} db:{} user_pass:{}>".format(
self._ip_ports, self._db, self._user_pass)
@classmethod
def from_url(cls, url):
return cls(url=url)
def sadd(self, table, values):
"""
@summary: 使用无序set集合存储数据， 去重
---------
@param table:
@param values: 值； 支持list 或 单个值
---------
@result: 若库中存在 返回0，否则入库，返回1。 批量添加返回None
"""
if isinstance(values, list):
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
if not self._is_redis_cluster:
pipe.multi()
for value in values:
pipe.sadd(table, value)
pipe.execute()
else:
return self._redis.sadd(table, values)
def sget(self, table, count=1, is_pop=True):
"""
返回 list 如 ['1'] 或 []
@param table:
@param count:
@param is_pop:
@return:
"""
datas = []
if is_pop:
count = count if count <= self.sget_count(
table) else self.sget_count(table)
if count:
if count > 1:
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
if not self._is_redis_cluster:
pipe.multi()
while count:
pipe.spop(table)
count -= 1
datas = pipe.execute()
else:
datas.append(self._redis.spop(table))
else:
datas = self._redis.srandmember(table, count)
return datas
def srem(self, table, values):
"""
@summary: 移除集合中的指定元素
---------
@param table:
@param values: 一个或者列表
---------
@result:
"""
if isinstance(values, list):
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
if not self._is_redis_cluster:
pipe.multi()
for value in values:
pipe.srem(table, value)
pipe.execute()
else:
self._redis.srem(table, values)
def sget_count(self, table):
return self._redis.scard(table)
def sdelete(self, table):
"""
@summary: 删除set集合的大键（数据量大的表）
删除大set键，使用sscan命令，每次扫描集合中500个元素，再用srem命令每次删除一个键
若直接用delete命令，会导致Redis阻塞，出现故障切换和应用程序崩溃的故障。
---------
@param table:
---------
@result:
"""
# 当 SCAN 命令的游标参数被设置为 0 时， 服务器将开始一次新的迭代， 而当服务器向用户返回值为 0 的游标时， 表示迭代已结束
cursor = "0"
while cursor != 0:
cursor, data = self._redis.sscan(table, cursor=cursor, count=500)
for item in data:
# pipe.srem(table, item)
self._redis.srem(table, item)
# pipe.execute()
def sismember(self, table, key):
"Return a boolean indicating if ``value`` is a member of set ``name``"
return self._redis.sismember(table, key)
def zadd(self, table, values, prioritys=0):
"""
@summary: 使用有序set集合存储数据， 去重(值存在更新)
---------
@param table:
@param values: 值； 支持list 或 单个值
@param prioritys: 优先级； double类型，支持list 或 单个值。 根据此字段的值来排序, 值越小越优先。 可不传值，默认value的优先级为0
---------
@result:若库中存在 返回0，否则入库，返回1。 批量添加返回 [0, 1 ...]
"""
if isinstance(values, list):
if not isinstance(prioritys, list):
prioritys = [prioritys] * len(values)
else:
assert len(values) == len(prioritys), "values值要与prioritys值一一对应"
pipe = self._redis.pipeline(transaction=True)
if not self._is_redis_cluster:
pipe.multi()
for value, priority in zip(values, prioritys):
pipe.zadd(table, priority, value)
return pipe.execute()
else:
return self._redis.zadd(table, prioritys, values)
def zget(self, table, count=1, is_pop=True):
"""
@summary: 从有序set集合中获取数据 优先返回分数小的（优先级高的）
---------
@param table:
@param count: 数量 -1 返回全部数据
@param is_pop:获取数据后，是否在原set集合中删除，默认是
---------
@result: 列表
"""
start_pos = 0 # 包含
end_pos = count - 1 if count > 0 else count
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
if not self._is_redis_cluster:
pipe.multi(
) # 标记事务的开始 参考 http://www.runoob.com/redis/redis-transactions.html
pipe.zrange(table, start_pos, end_pos) # 取值
if is_pop:
pipe.zremrangebyrank(table, start_pos, end_pos) # 删除
results, *count = pipe.execute()
return results
def zremrangebyscore(self, table, priority_min, priority_max):
"""
根据分数移除成员 闭区间
@param table:
@param priority_min:
@param priority_max:
@return: 被移除的成员个数
"""
return self._redis.zremrangebyscore(table, priority_min, priority_max)
def zrangebyscore(self,
table,
priority_min,
priority_max,
count=None,
is_pop=True):
"""
@summary: 返回指定分数区间的数据 闭区间
---------
@param table:
@param priority_min: 优先级越小越优先
@param priority_max:
@param count: 获取的数量，为空则表示分数区间内的全部数据
@param is_pop: 是否删除
---------
@result:
"""
# 使用lua脚本， 保证操作的原子性
lua = """
local key = KEYS[1]
local min_score = ARGV[2]
local max_score = ARGV[3]
local is_pop = ARGV[4]
local count = ARGV[5]
-- 取值
local datas = nil
if count then
datas = redis.call('zrangebyscore', key, min_score, max_score, 'limit', 0, count)
else
datas = redis.call('zrangebyscore', key, min_score, max_score)
end
-- 删除redis中刚取到的值
if (is_pop) then
for i=1, #datas do
redis.call('zrem', key, datas[i])
end
end
return datas
"""
cmd = self._redis.register_script(lua)
if count:
res = cmd(keys=[table],
args=[table, priority_min, priority_max, is_pop, count])
else:
res = cmd(keys=[table],
args=[table, priority_min, priority_max, is_pop])
return res
def zrangebyscore_increase_score(self,
table,
priority_min,
priority_max,
increase_score,
count=None):
"""
@summary: 返回指定分数区间的数据 闭区间， 同时修改分数
---------
@param table:
@param priority_min: 最小分数
@param priority_max: 最大分数
@param increase_score: 分数值增量 正数则在原有的分数上叠加，负数则相减
@param count: 获取的数量，为空则表示分数区间内的全部数据
---------
@result:
"""
# 使用lua脚本， 保证操作的原子性
lua = """
local key = KEYS[1]
local min_score = ARGV[1]
local max_score = ARGV[2]
local increase_score = ARGV[3]
local count = ARGV[4]
-- 取值
local datas = nil
if count then
datas = redis.call('zrangebyscore', key, min_score, max_score, 'limit', 0, count)
else
datas = redis.call('zrangebyscore', key, min_score, max_score)
end
--修改优先级
for i=1, #datas do
redis.call('zincrby', key, increase_score, datas[i])
end
return datas
"""
cmd = self._redis.register_script(lua)
if count:
res = cmd(keys=[table],
args=[priority_min, priority_max, increase_score, count])
else:
res = cmd(keys=[table],
args=[priority_min, priority_max, increase_score])
return res
def zrangebyscore_set_score(self,
table,
priority_min,
priority_max,
score,
count=None):
"""
@summary: 返回指定分数区间的数据 闭区间， 同时修改分数
---------
@param table:
@param priority_min: 最小分数
@param priority_max: 最大分数
@param score: 分数值
@param count: 获取的数量，为空则表示分数区间内的全部数据
---------
@result:
"""
# 使用lua脚本， 保证操作的原子性
lua = """
local key = KEYS[1]
local min_score = ARGV[1]
local max_score = ARGV[2]
local set_score = ARGV[3]
local count = ARGV[4]
-- 取值
local datas = nil
if count then
datas = redis.call('zrangebyscore', key, min_score, max_score, 'withscores','limit', 0, count)
else
datas = redis.call('zrangebyscore', key, min_score, max_score, 'withscores')
end
local real_datas = {} -- 数据
--修改优先级
for i=1, #datas, 2 do
local data = datas[i]
local score = datas[i+1]
table.insert(real_datas, data) -- 添加数据
redis.call('zincrby', key, set_score - score, datas[i])
end
return real_datas
"""
cmd = self._redis.register_script(lua)
if count:
res = cmd(keys=[table],
args=[priority_min, priority_max, score, count])
else:
res = cmd(keys=[table], args=[priority_min, priority_max, score])
return res
def zget_count(self, table, priority_min=None, priority_max=None):
"""
@summary: 获取表数据的数量
---------
@param table:
@param priority_min:优先级范围 最小值（包含）
@param priority_max:优先级范围 最大值（包含）
---------
@result:
"""
if priority_min != None and priority_max != None:
return self._redis.zcount(table, priority_min, priority_max)
else:
return self._redis.zcard(table)
def zrem(self, table, values):
"""
@summary: 移除集合中的指定元素
---------
@param table:
@param values: 一个或者列表
---------
@result:
"""
if isinstance(values, list):
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
if not self._is_redis_cluster:
pipe.multi()
for value in values:
pipe.zrem(table, value)
pipe.execute()
else:
self._redis.zrem(table, values)
def zexists(self, table, values):
"""
利用zscore判断某元素是否存在
@param values:
@return:
"""
is_exists = []
if isinstance(values, list):
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
pipe.multi()
for value in values:
pipe.zscore(table, value)
is_exists_temp = pipe.execute()
for is_exist in is_exists_temp:
if is_exist != None:
is_exists.append(1)
else:
is_exists.append(0)
else:
is_exists = self._redis.zscore(table, values)
is_exists = 1 if is_exists != None else 0
return is_exists
def lpush(self, table, values):
if isinstance(values, list):
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
if not self._is_redis_cluster:
pipe.multi()
for value in values:
pipe.rpush(table, value)
pipe.execute()
else:
return self._redis.rpush(table, values)
def lpop(self, table, count=1):
"""
@summary:
---------
@param table:
@param count:
---------
@result: count>1时返回列表
"""
datas = None
count = count if count <= self.lget_count(table) else self.lget_count(
table)
if count:
if count > 1:
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
if not self._is_redis_cluster:
pipe.multi()
while count:
pipe.lpop(table)
count -= 1
datas = pipe.execute()
else:
datas = self._redis.lpop(table)
return datas
def rpoplpush(self, from_table, to_table=None):
"""
将列表 from_table 中的最后一个元素(尾元素)弹出，并返回给客户端。
将 from_table 弹出的元素插入到列表 to_table ，作为 to_table 列表的的头元素。
如果 from_table 和 to_table 相同，则列表中的表尾元素被移动到表头，并返回该元素，可以把这种特殊情况视作列表的旋转(rotation)操作
@param from_table:
@param to_table:
@return:
"""
if not to_table:
to_table = from_table
return self._redis.rpoplpush(from_table, to_table)
def lget_count(self, table):
return self._redis.llen(table)
def lrem(self, table, value, num=0):
return self._redis.lrem(table, value, num)
def hset(self, table, key, value):
"""
@summary:
如果 key 不存在，一个新的哈希表被创建并进行 HSET 操作。
如果域 field 已经存在于哈希表中，旧值将被覆盖
---------
@param table:
@param key:
@param value:
---------
@result: 1 新插入； 0 覆盖
"""
return self._redis.hset(table, key, value)
def hset_batch(self, table, datas):
"""
批量插入
Args:
datas:
[[key, value]]
Returns:
"""
pipe = self._redis.pipeline(transaction=True)
if not self._is_redis_cluster:
pipe.multi()
for key, value in datas:
pipe.hset(table, key, value)
return pipe.execute()
def hincrby(self, table, key, increment):
return self._redis.hincrby(table, key, increment)
def hget(self, table, key, is_pop=False):
if not is_pop:
return self._redis.hget(table, key)
else:
lua = """
local key = KEYS[1]
local field = ARGV[1]
-- 取值
local datas = redis.call('hget', key, field)
-- 删除值
redis.call('hdel', key, field)
return datas
"""
cmd = self._redis.register_script(lua)
res = cmd(keys=[table], args=[key])
return res
def hgetall(self, table):
return self._redis.hgetall(table)
def hexists(self, table, key):
return self._redis.hexists(table, key)
def hdel(self, table, *keys):
"""
@summary: 删除对应的key 可传多个
---------
@param table:
@param *keys:
---------
@result:
"""
self._redis.hdel(table, *keys)
def hget_count(self, table):
return self._redis.hlen(table)
def setbit(self, table, offsets, values):
"""
设置字符串数组某一位的值， 返回之前的值
@param table:
@param offsets: 支持列表或单个值
@param values: 支持列表或单个值
@return: list / 单个值
"""
if isinstance(offsets, list):
if not isinstance(values, list):
values = [values] * len(offsets)
else:
assert len(offsets) == len(values), "offsets值要与values值一一对应"
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
pipe.multi()
for offset, value in zip(offsets, values):
pipe.setbit(table, offset, value)
return pipe.execute()
else:
return self._redis.setbit(table, offsets, values)
def getbit(self, table, offsets):
"""
取字符串数组某一位的值
@param table:
@param offsets: 支持列表
@return: list / 单个值
"""
if isinstance(offsets, list):
pipe = self._redis.pipeline(
transaction=True
) # redis-py默认在执行每次请求都会创建（连接池申请连接）和断开（归还连接池）一次连接操作，如果想要在一次请求中指定多个命令，则可以使用pipline实现一次请求指定多个命令，并且默认情况下一次pipline 是原子性操作。
pipe.multi()
for offset in offsets:
pipe.getbit(table, offset)
return pipe.execute()
else:
return self._redis.getbit(table, offsets)
def bitcount(self, table):
return self._redis.bitcount(table)
def strset(self, table, value, **kwargs):
return self._redis.set(table, value, **kwargs)
def str_incrby(self, table, value):
return self._redis.incrby(table, value)
def strget(self, table):
return self._redis.get(table)
def strlen(self, table):
return self._redis.strlen(table)
def getkeys(self, regex):
return self._redis.keys(regex)
def exists_key(self, key):
return self._redis.exists(key)
def set_expire(self, key, seconds):
"""
@summary: 设置过期时间
---------
@param key:
@param seconds: 秒
---------
@result:
"""
self._redis.expire(key, seconds)
def clear(self, table):
try:
self._redis.delete(table)
except Exception as e:
log.error(e)
def get_redis_obj(self):
return self._redis
#!/usr/bin/env python
# _*_coding:utf-8_*_
# Author: create by yang.hong
# Time: 2018-08-17 11:06
"""
集群模式下，匹配方式删除多个key
"""
from rediscluster import StrictRedisCluster
redis_cluster = [{'host': '172.28.246.12', 'port': '28000'},
{'host': '172.28.246.12', 'port': '28001'},
{'host': '172.28.246.12', 'port': '28002'},
{'host': '172.28.246.12', 'port': '28003'},
{'host': '172.28.246.12', 'port': '28004'},
{'host': '172.28.246.12', 'port': '28005'},
]
r = StrictRedisCluster(startup_nodes=redis_cluster, decode_responses=True)
print r.keys(pattern="*mc_payChannel_router*")
r.delete(*r.keys(pattern="*mc_payChannel_router*"))
def read_seed_pool_redis():
peer_ids_in_redis = []
seeds_add_to_mysql = []
file_ids = []
redis_nodes = [
{'host': SEED_POOL_REDIS_CLUSTER_HOST_1,
'port': SEED_POOL_REDIS_CLUSTER_PORT_1},
{'host': SEED_POOL_REDIS_CLUSTER_HOST_2,
'port': SEED_POOL_REDIS_CLUSTER_PORT_2},
{'host': SEED_POOL_REDIS_CLUSTER_HOST_3,
'port': SEED_POOL_REDIS_CLUSTER_PORT_3}
]
peer_ids_in_mysql = obtain_peer_id_from_table(Seed_pool)
redis_connect = StrictRedisCluster(startup_nodes=redis_nodes)
# get keys contain TSGO
for key in redis_connect.keys():
# key: {TSGO
if key.find('TSGO') == 1:
file_ids.append(key)
if file_ids:
# get file id, currently we only have one channel, so we only handle
# file_ids[0]
for file_id in file_ids:
file_id_write_to_mysql = file_id.split("_")[2]
# get value by key
selected_seeds = redis_connect.smembers(file_id)
log.logger.info('redis seeds num:{0}'.format(len(selected_seeds)))
for seed in selected_seeds:
# eval it from string to dictionary
seed_info = eval(seed)
peer_id = seed_info['peer_id']
peer_ids_in_redis.append(peer_id)
if peer_id not in peer_ids_in_mysql:
sdk_version = seed_info['version']
private_ip = seed_info['privateIP']
private_port = seed_info['privatePort']
public_ip = seed_info['publicIP']
public_port = seed_info['publicPort']
nat_type = seed_info['natType']
stun_ip = seed_info['stunIP']
isp_id = seed_info['isp_id']
province_id = seed_info['province_id']
ppc = seed_info['ppc']
cppc = seed_info['cppc']
seed_redis = (Seed_pool(peer_id=peer_id,
sdk_version=sdk_version,
public_ip=public_ip,
public_port=public_port,
private_ip=private_ip,
private_port=private_port,
nat_type=nat_type,
stun_ip=stun_ip,
isp_id=isp_id,
province_id=province_id,
ppc=ppc,
cppc=cppc,
file_id=file_id_write_to_mysql))
orm.session.add(seed_redis)
seeds_add_to_mysql.append(seed_redis)
orm.session.commit()
orm.session.close()
log.logger.info('add {0} seeds to mysql'.format(len(seeds_add_to_mysql)))
# del seeds expired(in mysql but not in redis)
peer_ids_in_mysql_after_add = obtain_peer_id_from_table(Seed_pool)
for peer in peer_ids_in_mysql_after_add:
if peer not in peer_ids_in_redis:
orm.session.query(Seed_pool).filter_by(
peer_id=peer).delete()
orm.session.commit()
orm.session.close()
else:
# if seeds list in redis is empty, clean MySQL
log.logger.info('no seeds in redis so we clean table seed_pool ')
orm.session.query(Seed_pool).filter().delete()
orm.session.commit()
orm.session.close()
