Python implementation Redis client singleton +hbase Client single case

When the business needs a large number of connections to Redis or hbase, a large number of connections will cause a large number of sockets, the result is that the server does not have more ports to allocate, in this case the best solution is to implement the client connection of a singleton mode, keep the connection is always the same. Speaking of which, it may not have been experienced, if you insert 4,000 data per second, this phenomenon is very obvious. The following implementation of the Python implementation of the Redis+hbase singleton mode, there are many improvements, according to their own business to adjust, can be verified by the ID of the print instance:

import happybase
import redis
class _RedisMgrSingleton (type):
    ‘‘ ‘Redis singleton’ ’‘ ‘‘
    def __init __ (self, name, bases, dict):
        super (_RedisMgrSingleton, self) .__ init __ (name, bases, dict)
        self._instance = {}
    def __call __ (self, host, port, db):
        if not self._instance.has_key ((host, port, db)):
            self._instance [(host, port, db)] = super (_RedisMgrSingleton, self) .__ call __ (host, port, db)
        return self._instance [(host, port, db)]

class HbaseSingleton (type):
    Single case of ‘‘ ‘hbase’ ‘‘ ‘
    def __init __ (self, name, bases, dict):
        super (HbaseSingleton, self) .__ init __ (name, bases, dict)
        self._instance = {}
    def __call __ (self, host, table):
        if not self._instance.has_key ((host, table)):
            self._instance [(host, table)] = super (HbaseSingleton, self) .__ call __ (host, table)
        return self._instance [(host, table)]

class RedisMgr:
    "Redis Operation Special Class"
    def __init __ (self, host, port, db, max_connections = 3):
        "eg: host‘ 192.168.2.184 ’port 6379 db 14"
        self.host = host
        self.port = port
        self.db = db
        self.conn = redis.Redis (connection_pool = redis.ConnectionPool (host = host, port = port, db = db, max_connections = max_connections))
    def run_redis_fun (self, funname, * args):
        fun = getattr (self.conn, funname)
        print args
        return fun (* args)
    def pipe (self):
        return self.conn.pipeline (transaction = False)
    __metaclass__ = _RedisMgrSingleton #metaclass implementation singleton



class HbaseOperate (object):
    def __init __ (self, host, table):
        self.host = host
        self.table = table
        self.conn = happybase.Connection (self.host)
        self.table = self.conn.table (self.table)

    def run (self, fun, * args):
        # result = self.table.row (* args)
        funname = getattr (self.table, fun)
        return funname (* args)
    def cells (self, column, info, version):
        return self.table.cells (column, info, versions = version)
    __metaclass__ = HbaseSingleton #metaclass implementation singleton



conn = HbaseOperate (‘xxx.xx.11.8‘, "history_visitor_product")
result = conn.cells (‘chenhuachao‘, ‘info: visiotr’, 3)
print result
print "First time", id (conn)
conn1 = HbaseOperate (‘xxx.xxx.11.8‘, "history_visitor_product")
result1 = conn1.cells (‘chenhuachao‘, ‘info: visiotr’, 6)
print result1
print "Second", id (conn1)
#output
[‘Test10’, ‘test9’, ‘test97’]
First time 38014896
[‘Test10’, ‘test9’, ‘test97’, ‘test17’, ‘test1345 \ n’]
The second 38014896 

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Python implementation Redis client singleton +hbase Client single case