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最新评论
-
siphlina:
课程——基于Python数据分析与机器学习案例实战教程分享网盘 ...
Python机器学习库 -
san_yun:
leibnitz 写道hi,我想知道,无论在92还是94版本, ...
hbase的行锁与多版本并发控制(MVCC) -
leibnitz:
hi,我想知道,无论在92还是94版本,更新时(如Puts)都 ...
hbase的行锁与多版本并发控制(MVCC) -
107x:
不错,谢谢!
Latent Semantic Analysis(LSA/ LSI)算法简介 -
107x:
不错,谢谢!
Python机器学习库
前面测试过python-memcached客户端通过thread local实现是有问题,我修改了一下去掉thread local模式,通过连接池的方式实现,使用和之前的方式完全一致
源代码:
import memcache import memcache2 import threading mc = memcache2.Client(['127.0.0.1:11211']) class TestThread(threading.Thread): def __init__(self,redis_cache): threading.Thread.__init__(self) self.mc = mc def run(self): while True: obj = self.mc.get("123") if not obj: self.mc.set("123","1234567890",60) print self.getName()+'set' #print self.redis_cache.connection_pool._created_connections for i in xrange(8): t = TestThread(mc) t.start() #mc.set("abc1","100",3600) #mc.set("abc2","100",3600) #mc.set_multi({'key1' : 'val1', 'key2' : 'val2'},3600) #for i in xrange(1000): # mc.incr("abc1") # mc.incr("abc1") # mc.decr("abc1") #print mc.get("abc") #print mc.get_multi(["key1","key2"]) #mc.delete_multi(["key2"]) #mc.flush_all()
源代码:
#!/usr/bin/env python """ client module for memcached (memory cache daemon) Overview ======== See U{the MemCached homepage<http://www.danga.com/memcached>} for more about memcached. Usage summary ============= This should give you a feel for how this module operates:: import memcache mc = memcache.Client(['127.0.0.1:11211'], debug=0) mc.set("some_key", "Some value") value = mc.get("some_key") mc.set("another_key", 3) mc.delete("another_key") mc.set("key", "1") # note that the key used for incr/decr must be a string. mc.incr("key") mc.decr("key") The standard way to use memcache with a database is like this:: key = derive_key(obj) obj = mc.get(key) if not obj: obj = backend_api.get(...) mc.set(key, obj) # we now have obj, and future passes through this code # will use the object from the cache. Detailed Documentation ====================== More detailed documentation is available in the L{Client} class. """ import sys import socket import time import os import re try: import cPickle as pickle except ImportError: import pickle from binascii import crc32 # zlib version is not cross-platform def cmemcache_hash(key): return((((crc32(key) & 0xffffffff) >> 16) & 0x7fff) or 1) serverHashFunction = cmemcache_hash def useOldServerHashFunction(): """Use the old python-memcache server hash function.""" global serverHashFunction serverHashFunction = crc32 try: from zlib import compress, decompress _supports_compress = True except ImportError: _supports_compress = False # quickly define a decompress just in case we recv compressed data. def decompress(val): raise _Error("received compressed data but I don't support compression (import error)") try: from cStringIO import StringIO except ImportError: from StringIO import StringIO # Original author: Evan Martin of Danga Interactive __author__ = "Sean Reifschneider <jafo-memcached@tummy.com>" __version__ = "1.47" __copyright__ = "Copyright (C) 2003 Danga Interactive" # http://en.wikipedia.org/wiki/Python_Software_Foundation_License __license__ = "Python Software Foundation License" SERVER_MAX_KEY_LENGTH = 250 # Storing values larger than 1MB requires recompiling memcached. If you do, # this value can be changed by doing "memcache.SERVER_MAX_VALUE_LENGTH = N" # after importing this module. SERVER_MAX_VALUE_LENGTH = 1024*1024*3 class _Error(Exception): pass class Connection(object): def __init__(self,pool,location,timeout=2): self.pool = pool host,port = location.split(":") self.address = (host,int(port)) self.timeout = timeout self.socket = None self.buffer = '' def release(self): self.pool.release(self) def mark_dead(self,reason): print '%s %s'%(reason,self.address) self.close_socket() self.pool.remove(self) def close_socket(self): if self.socket: self.socket.close() self.socket = None def _get_socket(self): if self.socket: return self.socket s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.settimeout(self.timeout) try: s.connect(self.address) self.socket = s return self.socket except socket.timeout, msg: self.mark_dead("connect: %s" % msg) return None except socket.error, msg: if isinstance(msg, tuple): msg = msg[1] self.mark_dead("connect: %s" % msg[1]) return None def connect(self): if self._get_socket(): return True return False def send_cmd(self, cmd): self.socket.sendall(cmd + '\r\n') def send_cmds(self, cmds): """ cmds already has trailing \r\n's applied """ self.socket.sendall(cmds) def readline(self): recv = self.socket.recv buf = self.buffer #buf = '' while True: index = buf.find('\r\n') if index >= 0: break data = recv(4096) if not data: self.mark_dead('Connection closed while reading from %s'% repr(self)) self.buffer = '' break buf += data self.buffer = buf[index+2:] return buf[:index] def expect(self, text): line = self.readline() if line != text: print "while expecting '%s', got unexpected response '%s'" % (text, line) return line def recv(self, rlen): self_socket_recv = self.socket.recv buf = self.buffer while len(buf) < rlen: foo = self_socket_recv(max(rlen - len(buf), 4096)) buf += foo if not foo: raise _Error( 'Read %d bytes, expecting %d, ' 'read returned 0 length bytes' % ( len(buf), rlen )) self.buffer = buf[rlen:] return buf[:rlen] class ConnectionPool(object): def __init__(self, location,timeout=2): self.location = location self._max_connections = 1000 self._available_connections = [] self._in_use_connections = set() def get_connection(self): try: connection = self._available_connections.pop() except IndexError: connection = self._make_connection() if connection and connection.connect(): self._in_use_connections.add(connection) return connection else: return None def _make_connection(self): "Create a new connection" if len(self._in_use_connections) >= self._max_connections: raise DbossError("Too many connections") conn = Connection(self,self.location) return conn def release(self, connection): self._in_use_connections.remove(connection) self._available_connections.append(connection) def remove(self, connection): self._in_use_connections.remove(connection) self._available_connections.remove(connection) class Client(): """ Object representing a pool of memcache servers. See L{memcache} for an overview. In all cases where a key is used, the key can be either: 1. A simple hashable type (string, integer, etc.). 2. A tuple of C{(hashvalue, key)}. This is useful if you want to avoid making this module calculate a hash value. You may prefer, for example, to keep all of a given user's objects on the same memcache server, so you could use the user's unique id as the hash value. @group Setup: __init__, set_servers, forget_dead_hosts, disconnect_all, debuglog @group Insertion: set, add, replace, set_multi @group Retrieval: get, get_multi @group Integers: incr, decr @group Removal: delete, delete_multi @sort: __init__, set_servers, forget_dead_hosts, disconnect_all, debuglog,\ set, set_multi, add, replace, get, get_multi, incr, decr, delete, delete_multi """ _FLAG_PICKLE = 1<<0 _FLAG_INTEGER = 1<<1 _FLAG_LONG = 1<<2 _FLAG_COMPRESSED = 1<<3 _SERVER_RETRIES = 10 # how many times to try finding a free server. # exceptions for Client class MemcachedKeyError(Exception): pass class MemcachedKeyLengthError(MemcachedKeyError): pass class MemcachedKeyCharacterError(MemcachedKeyError): pass class MemcachedKeyNoneError(MemcachedKeyError): pass class MemcachedKeyTypeError(MemcachedKeyError): pass class MemcachedStringEncodingError(Exception): pass def __init__(self, servers, debug=0, pickleProtocol=0, pickler=pickle.Pickler, unpickler=pickle.Unpickler, pload=None, pid=None, server_max_key_length=SERVER_MAX_KEY_LENGTH, server_max_value_length=SERVER_MAX_VALUE_LENGTH): """ Create a new Client object with the given list of servers. @param servers: C{servers} is passed to L{set_servers}. @param debug: whether to display error messages when a server can't be contacted. @param pickleProtocol: number to mandate protocol used by (c)Pickle. @param pickler: optional override of default Pickler to allow subclassing. @param unpickler: optional override of default Unpickler to allow subclassing. @param pload: optional persistent_load function to call on pickle loading. Useful for cPickle since subclassing isn't allowed. @param pid: optional persistent_id function to call on pickle storing. Useful for cPickle since subclassing isn't allowed. """ self.debug = debug self.set_servers(servers) self.stats = {} self.cas_ids = {} # Allow users to modify pickling/unpickling behavior self.pickleProtocol = pickleProtocol self.pickler = pickler self.unpickler = unpickler self.persistent_load = pload self.persistent_id = pid self.server_max_key_length = server_max_key_length self.server_max_value_length = server_max_value_length # figure out the pickler style file = StringIO() try: pickler = self.pickler(file, protocol = self.pickleProtocol) self.picklerIsKeyword = True except TypeError: self.picklerIsKeyword = False def set_servers(self, servers): """ Set the pool of servers used by this client. @param servers: an array of servers. Servers can be passed in two forms: 1. Strings of the form C{"host:port"}, which implies a default weight of 1. 2. Tuples of the form C{("host:port", weight)}, where C{weight} is an integer weight value. """ #self.servers = [_Host(s, self.debug) for s in servers] self.servers = servers self._init_buckets() def flush_all(self): 'Expire all data currently in the memcache servers.' for pool in self.buckets: server = pool.get_connection() if not server.connect(): continue server.send_cmd('flush_all') server.expect("OK") server.release() def debuglog(self, str): if self.debug: sys.stderr.write("MemCached: %s\n" % str) def _statlog(self, func): if func not in self.stats: self.stats[func] = 1 else: self.stats[func] += 1 def forget_dead_hosts(self): """ Reset every host in the pool to an "alive" state. """ for s in self.servers: s.deaduntil = 0 def _init_buckets(self): self.buckets = [] for server in self.servers: #for i in range(server.weight): # self.buckets.append(server) self.buckets.append(ConnectionPool(server)) def _get_server(self, key): if isinstance(key, tuple): serverhash, key = key else: serverhash = serverHashFunction(key) for i in range(Client._SERVER_RETRIES): pool = self.buckets[serverhash % len(self.buckets)] connection = pool.get_connection() if connection: return connection,key serverhash = serverHashFunction(str(serverhash) + str(i)) return None, None def disconnect_all(self): for s in self.servers: s.close_socket() def delete_multi(self, keys, time=0, key_prefix=''): ''' Delete multiple keys in the memcache doing just one query. >>> notset_keys = mc.set_multi({'key1' : 'val1', 'key2' : 'val2'}) >>> mc.get_multi(['key1', 'key2']) == {'key1' : 'val1', 'key2' : 'val2'} 1 >>> mc.delete_multi(['key1', 'key2']) 1 >>> mc.get_multi(['key1', 'key2']) == {} 1 This method is recommended over iterated regular L{delete}s as it reduces total latency, since your app doesn't have to wait for each round-trip of L{delete} before sending the next one. @param keys: An iterable of keys to clear @param time: number of seconds any subsequent set / update commands should fail. Defaults to 0 for no delay. @param key_prefix: Optional string to prepend to each key when sending to memcache. See docs for L{get_multi} and L{set_multi}. @return: 1 if no failure in communication with any memcacheds. @rtype: int ''' self._statlog('delete_multi') server_keys, prefixed_to_orig_key = self._map_and_prefix_keys(keys, key_prefix) # send out all requests on each server before reading anything dead_servers = [] rc = 1 for server in server_keys.iterkeys(): bigcmd = [] write = bigcmd.append if time != None: for key in server_keys[server]: # These are mangled keys write("delete %s %d\r\n" % (key, time)) else: for key in server_keys[server]: # These are mangled keys write("delete %s\r\n" % key) try: server.send_cmds(''.join(bigcmd)) except socket.error, msg: rc = 0 if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) dead_servers.append(server) # if any servers died on the way, don't expect them to respond. for server in dead_servers: del server_keys[server] for server, keys in server_keys.iteritems(): try: for key in keys: server.expect("DELETED") except socket.error, msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) rc = 0 finally: if server: server.release() return rc def delete(self, key, time=0): '''Deletes a key from the memcache. @return: Nonzero on success. @param time: number of seconds any subsequent set / update commands should fail. Defaults to 0 for no delay. @rtype: int ''' self.check_key(key) server, key = self._get_server(key) if not server: return 0 self._statlog('delete') if time != None: cmd = "delete %s %d" % (key, time) else: cmd = "delete %s" % key try: server.send_cmd(cmd) line = server.readline() if line and line.strip() in ['DELETED', 'NOT_FOUND']: return 1 self.debuglog('Delete expected DELETED or NOT_FOUND, got: %s' % repr(line)) except socket.error, msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) finally: if server: server.release() return 0 def incr(self, key, delta=1): """ Sends a command to the server to atomically increment the value for C{key} by C{delta}, or by 1 if C{delta} is unspecified. Returns None if C{key} doesn't exist on server, otherwise it returns the new value after incrementing. Note that the value for C{key} must already exist in the memcache, and it must be the string representation of an integer. >>> mc.set("counter", "20") # returns 1, indicating success 1 >>> mc.incr("counter") 21 >>> mc.incr("counter") 22 Overflow on server is not checked. Be aware of values approaching 2**32. See L{decr}. @param delta: Integer amount to increment by (should be zero or greater). @return: New value after incrementing. @rtype: int """ return self._incrdecr("incr", key, delta) def decr(self, key, delta=1): """ Like L{incr}, but decrements. Unlike L{incr}, underflow is checked and new values are capped at 0. If server value is 1, a decrement of 2 returns 0, not -1. @param delta: Integer amount to decrement by (should be zero or greater). @return: New value after decrementing. @rtype: int """ return self._incrdecr("decr", key, delta) def _incrdecr(self, cmd, key, delta): self.check_key(key) server, key = self._get_server(key) if not server: return 0 self._statlog(cmd) cmd = "%s %s %d" % (cmd, key, delta) try: server.send_cmd(cmd) line = server.readline() if line == None or line.strip() =='NOT_FOUND': return None return int(line) except socket.error, msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) return None finally: if server: server.release() def add(self, key, val, time = 0, min_compress_len = 100): ''' Add new key with value. Like L{set}, but only stores in memcache if the key doesn't already exist. @return: Nonzero on success. @rtype: int ''' return self._set("add", key, val, time, min_compress_len) def append(self, key, val, time=0, min_compress_len=100): '''Append the value to the end of the existing key's value. Only stores in memcache if key already exists. Also see L{prepend}. @return: Nonzero on success. @rtype: int ''' return self._set("append", key, val, time, min_compress_len) def prepend(self, key, val, time=0, min_compress_len=100): '''Prepend the value to the beginning of the existing key's value. Only stores in memcache if key already exists. Also see L{append}. @return: Nonzero on success. @rtype: int ''' return self._set("prepend", key, val, time, min_compress_len=100) def replace(self, key, val, time=0, min_compress_len=100): '''Replace existing key with value. Like L{set}, but only stores in memcache if the key already exists. The opposite of L{add}. @return: Nonzero on success. @rtype: int ''' return self._set("replace", key, val, time, min_compress_len) def set(self, key, val, time=0, min_compress_len=100): '''Unconditionally sets a key to a given value in the memcache. The C{key} can optionally be an tuple, with the first element being the server hash value and the second being the key. If you want to avoid making this module calculate a hash value. You may prefer, for example, to keep all of a given user's objects on the same memcache server, so you could use the user's unique id as the hash value. @return: Nonzero on success. @rtype: int @param time: Tells memcached the time which this value should expire, either as a delta number of seconds, or an absolute unix time-since-the-epoch value. See the memcached protocol docs section "Storage Commands" for more info on <exptime>. We default to 0 == cache forever. @param min_compress_len: The threshold length to kick in auto-compression of the value using the zlib.compress() routine. If the value being cached is a string, then the length of the string is measured, else if the value is an object, then the length of the pickle result is measured. If the resulting attempt at compression yeilds a larger string than the input, then it is discarded. For backwards compatability, this parameter defaults to 0, indicating don't ever try to compress. ''' return self._set("set", key, val, time, min_compress_len) def cas(self, key, val, time=0, min_compress_len=100): '''Sets a key to a given value in the memcache if it hasn't been altered since last fetched. (See L{gets}). The C{key} can optionally be an tuple, with the first element being the server hash value and the second being the key. If you want to avoid making this module calculate a hash value. You may prefer, for example, to keep all of a given user's objects on the same memcache server, so you could use the user's unique id as the hash value. @return: Nonzero on success. @rtype: int @param time: Tells memcached the time which this value should expire, either as a delta number of seconds, or an absolute unix time-since-the-epoch value. See the memcached protocol docs section "Storage Commands" for more info on <exptime>. We default to 0 == cache forever. @param min_compress_len: The threshold length to kick in auto-compression of the value using the zlib.compress() routine. If the value being cached is a string, then the length of the string is measured, else if the value is an object, then the length of the pickle result is measured. If the resulting attempt at compression yeilds a larger string than the input, then it is discarded. For backwards compatability, this parameter defaults to 0, indicating don't ever try to compress. ''' return self._set("cas", key, val, time, min_compress_len) def _map_and_prefix_keys(self, key_iterable, key_prefix): """Compute the mapping of server (_Host instance) -> list of keys to stuff onto that server, as well as the mapping of prefixed key -> original key. """ # Check it just once ... key_extra_len=len(key_prefix) if key_prefix: self.check_key(key_prefix) # server (_Host) -> list of unprefixed server keys in mapping server_keys = {} prefixed_to_orig_key = {} # build up a list for each server of all the keys we want. for orig_key in key_iterable: if isinstance(orig_key, tuple): # Tuple of hashvalue, key ala _get_server(). Caller is essentially telling us what server to stuff this on. # Ensure call to _get_server gets a Tuple as well. str_orig_key = str(orig_key[1]) server, key = self._get_server((orig_key[0], key_prefix + str_orig_key)) # Gotta pre-mangle key before hashing to a server. Returns the mangled key. else: str_orig_key = str(orig_key) # set_multi supports int / long keys. server, key = self._get_server(key_prefix + str_orig_key) # Now check to make sure key length is proper ... self.check_key(str_orig_key, key_extra_len=key_extra_len) if not server: continue if server not in server_keys: server_keys[server] = [] server_keys[server].append(key) prefixed_to_orig_key[key] = orig_key return (server_keys, prefixed_to_orig_key) def set_multi(self, mapping, time=0, key_prefix='', min_compress_len=100): ''' Sets multiple keys in the memcache doing just one query. >>> notset_keys = mc.set_multi({'key1' : 'val1', 'key2' : 'val2'}) >>> mc.get_multi(['key1', 'key2']) == {'key1' : 'val1', 'key2' : 'val2'} 1 This method is recommended over regular L{set} as it lowers the number of total packets flying around your network, reducing total latency, since your app doesn't have to wait for each round-trip of L{set} before sending the next one. @param mapping: A dict of key/value pairs to set. @param time: Tells memcached the time which this value should expire, either as a delta number of seconds, or an absolute unix time-since-the-epoch value. See the memcached protocol docs section "Storage Commands" for more info on <exptime>. We default to 0 == cache forever. @param key_prefix: Optional string to prepend to each key when sending to memcache. Allows you to efficiently stuff these keys into a pseudo-namespace in memcache: >>> notset_keys = mc.set_multi({'key1' : 'val1', 'key2' : 'val2'}, key_prefix='subspace_') >>> len(notset_keys) == 0 True >>> mc.get_multi(['subspace_key1', 'subspace_key2']) == {'subspace_key1' : 'val1', 'subspace_key2' : 'val2'} True Causes key 'subspace_key1' and 'subspace_key2' to be set. Useful in conjunction with a higher-level layer which applies namespaces to data in memcache. In this case, the return result would be the list of notset original keys, prefix not applied. @param min_compress_len: The threshold length to kick in auto-compression of the value using the zlib.compress() routine. If the value being cached is a string, then the length of the string is measured, else if the value is an object, then the length of the pickle result is measured. If the resulting attempt at compression yeilds a larger string than the input, then it is discarded. For backwards compatability, this parameter defaults to 0, indicating don't ever try to compress. @return: List of keys which failed to be stored [ memcache out of memory, etc. ]. @rtype: list ''' self._statlog('set_multi') server_keys, prefixed_to_orig_key = self._map_and_prefix_keys(mapping.iterkeys(), key_prefix) # send out all requests on each server before reading anything dead_servers = [] notstored = [] # original keys. for server in server_keys.iterkeys(): bigcmd = [] write = bigcmd.append try: for key in server_keys[server]: # These are mangled keys store_info = self._val_to_store_info( mapping[prefixed_to_orig_key[key]], min_compress_len) if store_info: write("set %s %d %d %d\r\n%s\r\n" % (key, store_info[0], time, store_info[1], store_info[2])) else: notstored.append(prefixed_to_orig_key[key]) server.send_cmds(''.join(bigcmd)) except socket.error, msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) dead_servers.append(server) # if any servers died on the way, don't expect them to respond. for server in dead_servers: del server_keys[server] # short-circuit if there are no servers, just return all keys if not server_keys: return(mapping.keys()) for server, keys in server_keys.iteritems(): try: for key in keys: line = server.readline() if line == 'STORED': continue else: notstored.append(prefixed_to_orig_key[key]) #un-mangle. except (_Error, socket.error), msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) finally: if server: server.release() return notstored def _val_to_store_info(self, val, min_compress_len): """ Transform val to a storable representation, returning a tuple of the flags, the length of the new value, and the new value itself. """ flags = 0 if isinstance(val, str): pass elif isinstance(val, int): flags |= Client._FLAG_INTEGER val = "%d" % val # force no attempt to compress this silly string. min_compress_len = 0 elif isinstance(val, long): flags |= Client._FLAG_LONG val = "%d" % val # force no attempt to compress this silly string. min_compress_len = 0 else: flags |= Client._FLAG_PICKLE file = StringIO() if self.picklerIsKeyword: pickler = self.pickler(file, protocol = self.pickleProtocol) else: pickler = self.pickler(file, self.pickleProtocol) if self.persistent_id: pickler.persistent_id = self.persistent_id pickler.dump(val) val = file.getvalue() lv = len(val) # We should try to compress if min_compress_len > 0 and we could # import zlib and this string is longer than our min threshold. if min_compress_len and _supports_compress and lv > min_compress_len: comp_val = compress(val) # Only retain the result if the compression result is smaller # than the original. if len(comp_val) < lv: flags |= Client._FLAG_COMPRESSED val = comp_val # silently do not store if value length exceeds maximum if self.server_max_value_length != 0 and \ len(val) >= self.server_max_value_length: return(0) return (flags, len(val), val) def _set(self, cmd, key, val, time, min_compress_len = 100): self.check_key(key) server, key = self._get_server(key) if not server: return 0 self._statlog(cmd) store_info = self._val_to_store_info(val, min_compress_len) if not store_info: return(0) if cmd == 'cas': if key not in self.cas_ids: return self._set('set', key, val, time, min_compress_len) fullcmd = "%s %s %d %d %d %d\r\n%s" % ( cmd, key, store_info[0], time, store_info[1], self.cas_ids[key], store_info[2]) else: fullcmd = "%s %s %d %d %d\r\n%s" % ( cmd, key, store_info[0], time, store_info[1], store_info[2]) try: server.send_cmd(fullcmd) return(server.expect("STORED") == "STORED") except socket.error, msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) finally: if server: server.release() return 0 def _get(self, cmd, key): self.check_key(key) server, key = self._get_server(key) if not server: return None self._statlog(cmd) try: server.send_cmd("%s %s" % (cmd, key)) rkey = flags = rlen = cas_id = None if cmd == 'gets': rkey, flags, rlen, cas_id, = self._expect_cas_value(server) if rkey: self.cas_ids[rkey] = cas_id else: rkey, flags, rlen, = self._expectvalue(server) if not rkey: return None value = self._recv_value(server, flags, rlen) server.expect("END") except (_Error, socket.error), msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) return None finally: if server: server.release() return value def get(self, key): '''Retrieves a key from the memcache. @return: The value or None. ''' return self._get('get', key) def gets(self, key): '''Retrieves a key from the memcache. Used in conjunction with 'cas'. @return: The value or None. ''' return self._get('gets', key) def get_multi(self, keys, key_prefix=''): ''' Retrieves multiple keys from the memcache doing just one query. >>> success = mc.set("foo", "bar") >>> success = mc.set("baz", 42) >>> mc.get_multi(["foo", "baz", "foobar"]) == {"foo": "bar", "baz": 42} 1 >>> mc.set_multi({'k1' : 1, 'k2' : 2}, key_prefix='pfx_') == [] 1 This looks up keys 'pfx_k1', 'pfx_k2', ... . Returned dict will just have unprefixed keys 'k1', 'k2'. >>> mc.get_multi(['k1', 'k2', 'nonexist'], key_prefix='pfx_') == {'k1' : 1, 'k2' : 2} 1 get_mult [ and L{set_multi} ] can take str()-ables like ints / longs as keys too. Such as your db pri key fields. They're rotored through str() before being passed off to memcache, with or without the use of a key_prefix. In this mode, the key_prefix could be a table name, and the key itself a db primary key number. >>> mc.set_multi({42: 'douglass adams', 46 : 'and 2 just ahead of me'}, key_prefix='numkeys_') == [] 1 >>> mc.get_multi([46, 42], key_prefix='numkeys_') == {42: 'douglass adams', 46 : 'and 2 just ahead of me'} 1 This method is recommended over regular L{get} as it lowers the number of total packets flying around your network, reducing total latency, since your app doesn't have to wait for each round-trip of L{get} before sending the next one. See also L{set_multi}. @param keys: An array of keys. @param key_prefix: A string to prefix each key when we communicate with memcache. Facilitates pseudo-namespaces within memcache. Returned dictionary keys will not have this prefix. @return: A dictionary of key/value pairs that were available. If key_prefix was provided, the keys in the retured dictionary will not have it present. ''' self._statlog('get_multi') server_keys, prefixed_to_orig_key = self._map_and_prefix_keys(keys, key_prefix) # send out all requests on each server before reading anything dead_servers = [] for server in server_keys.iterkeys(): try: server.send_cmd("get %s" % " ".join(server_keys[server])) except socket.error, msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) dead_servers.append(server) # if any servers died on the way, don't expect them to respond. for server in dead_servers: del server_keys[server] retvals = {} for server in server_keys.iterkeys(): try: line = server.readline() while line and line != 'END': rkey, flags, rlen = self._expectvalue(server, line) # Bo Yang reports that this can sometimes be None if rkey is not None: val = self._recv_value(server, flags, rlen) retvals[prefixed_to_orig_key[rkey]] = val # un-prefix returned key. line = server.readline() except (_Error, socket.error), msg: if isinstance(msg, tuple): msg = msg[1] server.mark_dead(msg) finally: if server: server.release() return retvals def _expect_cas_value(self, server, line=None): if not line: line = server.readline() if line and line[:5] == 'VALUE': resp, rkey, flags, len, cas_id = line.split() return (rkey, int(flags), int(len), int(cas_id)) else: return (None, None, None, None) def _expectvalue(self, server, line=None): if not line: line = server.readline() if line and line[:5] == 'VALUE': resp, rkey, flags, len = line.split() flags = int(flags) rlen = int(len) return (rkey, flags, rlen) else: return (None, None, None) def _recv_value(self, server, flags, rlen): rlen += 2 # include \r\n buf = server.recv(rlen) if len(buf) != rlen: raise _Error("received %d bytes when expecting %d" % (len(buf), rlen)) if len(buf) == rlen: buf = buf[:-2] # strip \r\n if flags & Client._FLAG_COMPRESSED: buf = decompress(buf) if flags == 0 or flags == Client._FLAG_COMPRESSED: # Either a bare string or a compressed string now decompressed... val = buf elif flags & Client._FLAG_INTEGER: val = int(buf) elif flags & Client._FLAG_LONG: val = long(buf) elif flags & Client._FLAG_PICKLE: try: file = StringIO(buf) unpickler = self.unpickler(file) if self.persistent_load: unpickler.persistent_load = self.persistent_load val = unpickler.load() except Exception, e: self.debuglog('Pickle error: %s\n' % e) val = None else: self.debuglog("unknown flags on get: %x\n" % flags) return val def check_key(self, key, key_extra_len=0): """Checks sanity of key. Fails if: Key length is > SERVER_MAX_KEY_LENGTH (Raises MemcachedKeyLength). Contains control characters (Raises MemcachedKeyCharacterError). Is not a string (Raises MemcachedStringEncodingError) Is an unicode string (Raises MemcachedStringEncodingError) Is not a string (Raises MemcachedKeyError) Is None (Raises MemcachedKeyError) """ if isinstance(key, tuple): key = key[1] if not key: raise Client.MemcachedKeyNoneError("Key is None") if isinstance(key, unicode): raise Client.MemcachedStringEncodingError( "Keys must be str()'s, not unicode. Convert your unicode " "strings using mystring.encode(charset)!") if not isinstance(key, str): raise Client.MemcachedKeyTypeError("Key must be str()'s") if isinstance(key, basestring): if self.server_max_key_length != 0 and \ len(key) + key_extra_len > self.server_max_key_length: raise Client.MemcachedKeyLengthError("Key length is > %s" % self.server_max_key_length) for char in key: if ord(char) < 33 or ord(char) == 127: raise Client.MemcachedKeyCharacterError( "Control characters not allowed") def _doctest(): import doctest, memcache servers = ["127.0.0.1:11211"] mc = Client(servers) globs = {"mc": mc} return doctest.testmod(memcache, globs=globs) if __name__ == "__main__": failures = 0 print "Testing docstrings..." _doctest() print "Running tests:" print serverList = [["127.0.0.1:11211"]] if '--do-unix' in sys.argv: serverList.append([os.path.join(os.getcwd(), 'memcached.socket')]) for servers in serverList: mc = Client(servers, debug=1) def to_s(val): if not isinstance(val, basestring): return "%s (%s)" % (val, type(val)) return "%s" % val def test_setget(key, val): print "Testing set/get {'%s': %s} ..." % (to_s(key), to_s(val)), mc.set(key, val) newval = mc.get(key) if newval == val: print "OK" return 1 else: print "FAIL"; failures = failures + 1 return 0 class FooStruct(object): def __init__(self): self.bar = "baz" def __str__(self): return "A FooStruct" def __eq__(self, other): if isinstance(other, FooStruct): return self.bar == other.bar return 0 test_setget("a_string", "some random string") test_setget("an_integer", 42) if test_setget("long", long(1<<30)): print "Testing delete ...", if mc.delete("long"): print "OK" else: print "FAIL"; failures = failures + 1 print "Checking results of delete ..." if mc.get("long") == None: print "OK" else: print "FAIL"; failures = failures + 1 print "Testing get_multi ...", print mc.get_multi(["a_string", "an_integer"]) print "Testing get(unknown value) ...", print to_s(mc.get("unknown_value")) f = FooStruct() test_setget("foostruct", f) print "Testing incr ...", x = mc.incr("an_integer", 1) if x == 43: print "OK" else: print "FAIL"; failures = failures + 1 print "Testing decr ...", x = mc.decr("an_integer", 1) if x == 42: print "OK" else: print "FAIL"; failures = failures + 1 sys.stdout.flush() # sanity tests print "Testing sending spaces...", sys.stdout.flush() try: x = mc.set("this has spaces", 1) except Client.MemcachedKeyCharacterError, msg: print "OK" else: print "FAIL"; failures = failures + 1 print "Testing sending control characters...", try: x = mc.set("this\x10has\x11control characters\x02", 1) except Client.MemcachedKeyCharacterError, msg: print "OK" else: print "FAIL"; failures = failures + 1 print "Testing using insanely long key...", try: x = mc.set('a'*SERVER_MAX_KEY_LENGTH + 'aaaa', 1) except Client.MemcachedKeyLengthError, msg: print "OK" else: print "FAIL"; failures = failures + 1 print "Testing sending a unicode-string key...", try: x = mc.set(u'keyhere', 1) except Client.MemcachedStringEncodingError, msg: print "OK", else: print "FAIL",; failures = failures + 1 try: x = mc.set((u'a'*SERVER_MAX_KEY_LENGTH).encode('utf-8'), 1) except: print "FAIL",; failures = failures + 1 else: print "OK", import pickle s = pickle.loads('V\\u4f1a\np0\n.') try: x = mc.set((s*SERVER_MAX_KEY_LENGTH).encode('utf-8'), 1) except Client.MemcachedKeyLengthError: print "OK" else: print "FAIL"; failures = failures + 1 print "Testing using a value larger than the memcached value limit...", x = mc.set('keyhere', 'a'*SERVER_MAX_VALUE_LENGTH) if mc.get('keyhere') == None: print "OK", else: print "FAIL",; failures = failures + 1 x = mc.set('keyhere', 'a'*SERVER_MAX_VALUE_LENGTH + 'aaa') if mc.get('keyhere') == None: print "OK" else: print "FAIL"; failures = failures + 1 print "Testing set_multi() with no memcacheds running", mc.disconnect_all() errors = mc.set_multi({'keyhere' : 'a', 'keythere' : 'b'}) if errors != []: print "FAIL"; failures = failures + 1 else: print "OK" print "Testing delete_multi() with no memcacheds running", mc.disconnect_all() ret = mc.delete_multi({'keyhere' : 'a', 'keythere' : 'b'}) if ret != 1: print "FAIL"; failures = failures + 1 else: print "OK" if failures > 0: print '*** THERE WERE FAILED TESTS' sys.exit(1) sys.exit(0) # vim: ts=4 sw=4 et :
发表评论
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python读取图片exif信息
2014-11-06 10:53 2400f = open("/home/admin/tlo ... -
Python程序的执行原理
2014-04-14 15:44 17231. 过程概述 Python先把代码(.py文件)编译成字 ... -
如何创建一个短链服务
2013-12-26 16:23 0参考: http://stackoverflow.com ... -
python 解析命令参数(argument)组件argparse
2013-12-11 17:35 1400参考: http://youngsterxyf.githu ... -
pyhon命令行工具optparse
2013-11-10 16:27 1028使用python optparse 可以创建命令行工具,下面 ... -
Python在豆瓣的应用
2013-10-21 10:46 1194Python在豆瓣的应用,hongqiangning分享 ... -
用python爬虫抓站的一些技巧总结
2013-10-10 14:12 1680学用python也有3个多月了,用得最多的还是各类爬虫 ... -
python小技巧
2013-10-10 11:50 7321. 声明长度256的数组 a=[0]*256 ... -
使用tesseract-ocr破解网站验证码
2013-10-09 10:25 1211原文:使用tesseract-ocr破解网站验证码 ... -
和豆瓣CMGS交流
2013-06-20 17:36 5837蒋云鹏: 在?CMGS: 在蒋 ... -
python乱码问题('ascii' codec can't encode character u'\u4e2d' in position 0)
2013-05-20 19:03 4245>>> k = u'中' >> ... -
python shell 交互模式
2013-04-28 22:17 1628python 通过code模块可以很容易的进入交互模式: ... -
jython和gunicorn性能测试对比
2013-04-13 13:03 1291helloworld,笔记本上: gunicorn ... -
python的mysql客户端-MySQLdb
2013-04-04 10:13 1153平时的主要编程语言是Java,开发时也主要用Mysql,经常 ... -
Python几种并发实现方案的性能比较
2013-03-18 21:14 2956原文:http://www.elias.cn/P ... -
python汉字和Unicode码(utf-8)之间的转换(Pack/Unpack)
2013-03-18 21:13 1641保证你要转换的字符串编码为UTF8,如果不是,请iconv ... -
python反序列化的坑
2013-01-06 18:06 1278今天遇到python一个坑,调用memcached的get_m ... -
sqlalchemy connection pool.py 源代码
2012-12-29 22:58 2234把 sqlalchemy pool源代码copy下来,有空看看 ... -
SQLAlchemy简单介绍
2012-12-28 22:41 0文档参考:http://docs.sqlalchemy.org ... -
pymysql简单使用
2012-12-28 12:38 2117import pymysql conn = pymysq ...
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MemcachedProviders客户端库通常包含多种语言的实现,例如Java、.NET、Python等,为不同平台和开发环境的应用程序提供服务。在.NET环境中,MemcachedProviders通常提供了易于使用的API,使得开发人员可以轻松地进行...
- 为了与Memcached交互,有许多编程语言提供了客户端库,如Python、PHP、Java、Ruby等。 - 客户端库负责将数据序列化(如果必要),发送请求到服务器,并处理响应。 5. **性能优化** - 使用合适的缓存大小:根据...
它采用键值对存储,支持多线程服务,允许客户端通过网络连接向服务器发送请求,获取或设置缓存数据。在2.2.0RC1版本中,可能引入了新的特性、优化了性能或者修复了已知问题,具体变化需要查看源代码或官方发布的变更...