- 浏览: 2654770 次
- 来自: 杭州
文章分类
- 全部博客 (1188)
- webwork (4)
- 网摘 (18)
- java (103)
- hibernate (1)
- Linux (85)
- 职业发展 (1)
- activeMQ (2)
- netty (14)
- svn (1)
- webx3 (12)
- mysql (81)
- css (1)
- HTML (6)
- apache (3)
- 测试 (2)
- javascript (1)
- 储存 (1)
- jvm (5)
- code (13)
- 多线程 (12)
- Spring (18)
- webxs (2)
- python (119)
- duitang (0)
- mongo (3)
- nosql (4)
- tomcat (4)
- memcached (20)
- 算法 (28)
- django (28)
- shell (1)
- 工作总结 (5)
- solr (42)
- beansdb (6)
- nginx (3)
- 性能 (30)
- 数据推荐 (1)
- maven (8)
- tonado (1)
- uwsgi (5)
- hessian (4)
- ibatis (3)
- Security (2)
- HTPP (1)
- gevent (6)
- 读书笔记 (1)
- Maxent (2)
- mogo (0)
- thread (3)
- 架构 (5)
- NIO (5)
- 正则 (1)
- lucene (5)
- feed (4)
- redis (17)
- TCP (6)
- test (0)
- python,code (1)
- PIL (3)
- guava (2)
- jython (4)
- httpclient (2)
- cache (3)
- signal (1)
- dubbo (7)
- HTTP (4)
- json (3)
- java socket (1)
- io (2)
- socket (22)
- hash (2)
- Cassandra (1)
- 分布式文件系统 (5)
- Dynamo (2)
- gc (8)
- scp (1)
- rsync (1)
- mecached (0)
- mongoDB (29)
- Thrift (1)
- scribe (2)
- 服务化 (3)
- 问题 (83)
- mat (1)
- classloader (2)
- javaBean (1)
- 文档集合 (27)
- 消息队列 (3)
- nginx,文档集合 (1)
- dboss (12)
- libevent (1)
- 读书 (0)
- 数学 (3)
- 流程 (0)
- HBase (34)
- 自动化测试 (1)
- ubuntu (2)
- 并发 (1)
- sping (1)
- 图形 (1)
- freemarker (1)
- jdbc (3)
- dbcp (0)
- sharding (1)
- 性能测试 (1)
- 设计模式 (2)
- unicode (1)
- OceanBase (3)
- jmagick (1)
- gunicorn (1)
- url (1)
- form (1)
- 安全 (2)
- nlp (8)
- libmemcached (1)
- 规则引擎 (1)
- awk (2)
- 服务器 (1)
- snmpd (1)
- btrace (1)
- 代码 (1)
- cygwin (1)
- mahout (3)
- 电子书 (1)
- 机器学习 (5)
- 数据挖掘 (1)
- nltk (6)
- pool (1)
- log4j (2)
- 总结 (11)
- c++ (1)
- java源代码 (1)
- ocr (1)
- 基础算法 (3)
- SA (1)
- 笔记 (1)
- ml (4)
- zokeeper (0)
- jms (1)
- zookeeper (5)
- zkclient (1)
- hadoop (13)
- mq (2)
- git (9)
- 问题,io (1)
- storm (11)
- zk (1)
- 性能优化 (2)
- example (1)
- tmux (1)
- 环境 (2)
- kyro (1)
- 日志系统 (3)
- hdfs (2)
- python_socket (2)
- date (2)
- elasticsearch (1)
- jetty (1)
- 树 (1)
- 汽车 (1)
- mdrill (1)
- 车 (1)
- 日志 (1)
- web (1)
- 编译原理 (1)
- 信息检索 (1)
- 性能,linux (1)
- spam (1)
- 序列化 (1)
- fabric (2)
- guice (1)
- disruptor (1)
- executor (1)
- logback (2)
- 开源 (1)
- 设计 (1)
- 监控 (3)
- english (1)
- 问题记录 (1)
- Bitmap (1)
- 云计算 (1)
- 问题排查 (1)
- highchat (1)
- mac (3)
- docker (1)
- jdk (1)
- 表达式 (1)
- 网络 (1)
- 时间管理 (1)
- 时间序列 (1)
- OLAP (1)
- Big Table (0)
- sql (1)
- kafka (1)
- md5 (1)
- springboot (1)
- spring security (1)
- Spring Boot (3)
- mybatis (1)
- java8 (1)
- 分布式事务 (1)
- 限流 (1)
- Shadowsocks (0)
- 2018 (1)
- 服务治理 (1)
- 设计原则 (1)
- log (0)
- perftools (1)
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
把 sqlalchemy pool源代码copy下来,有空看看。
参考配置:http://docs.sqlalchemy.org/en/latest/core/pooling.html
# sqlalchemy/pool.py # Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php """Connection pooling for DB-API connections. Provides a number of connection pool implementations for a variety of usage scenarios and thread behavior requirements imposed by the application, DB-API or database itself. Also provides a DB-API 2.0 connection proxying mechanism allowing regular DB-API connect() methods to be transparently managed by a SQLAlchemy connection pool. """ import time import traceback import weakref from . import exc, log, event, events, interfaces, util from .util import queue as sqla_queue from .util import threading, memoized_property, \ chop_traceback proxies = {} def manage(module, **params): """Return a proxy for a DB-API module that automatically pools connections. Given a DB-API 2.0 module and pool management parameters, returns a proxy for the module that will automatically pool connections, creating new connection pools for each distinct set of connection arguments sent to the decorated module's connect() function. :param module: a DB-API 2.0 database module :param poolclass: the class used by the pool module to provide pooling. Defaults to :class:`.QueuePool`. :param \*\*params: will be passed through to *poolclass* """ try: return proxies[module] except KeyError: return proxies.setdefault(module, _DBProxy(module, **params)) def clear_managers(): """Remove all current DB-API 2.0 managers. All pools and connections are disposed. """ for manager in proxies.itervalues(): manager.close() proxies.clear() reset_rollback = util.symbol('reset_rollback') reset_commit = util.symbol('reset_commit') reset_none = util.symbol('reset_none') class _ConnDialect(object): """partial implementation of :class:`.Dialect` which provides DBAPI connection methods. When a :class:`.Pool` is combined with an :class:`.Engine`, the :class:`.Engine` replaces this with its own :class:`.Dialect`. """ def do_rollback(self, dbapi_connection): dbapi_connection.rollback() def do_commit(self, dbapi_connection): dbapi_connection.commit() def do_close(self, dbapi_connection): dbapi_connection.close() class Pool(log.Identified): """Abstract base class for connection pools.""" _dialect = _ConnDialect() def __init__(self, creator, recycle=-1, echo=None, use_threadlocal=False, logging_name=None, reset_on_return=True, listeners=None, events=None, _dispatch=None, _dialect=None): """ Construct a Pool. :param creator: a callable function that returns a DB-API connection object. The function will be called with parameters. :param recycle: If set to non -1, number of seconds between connection recycling, which means upon checkout, if this timeout is surpassed the connection will be closed and replaced with a newly opened connection. Defaults to -1. :param logging_name: String identifier which will be used within the "name" field of logging records generated within the "sqlalchemy.pool" logger. Defaults to a hexstring of the object's id. :param echo: If True, connections being pulled and retrieved from the pool will be logged to the standard output, as well as pool sizing information. Echoing can also be achieved by enabling logging for the "sqlalchemy.pool" namespace. Defaults to False. :param use_threadlocal: If set to True, repeated calls to :meth:`connect` within the same application thread will be guaranteed to return the same connection object, if one has already been retrieved from the pool and has not been returned yet. Offers a slight performance advantage at the cost of individual transactions by default. The :meth:`unique_connection` method is provided to bypass the threadlocal behavior installed into :meth:`connect`. :param reset_on_return: If true, reset the database state of connections returned to the pool. This is typically a ROLLBACK to release locks and transaction resources. Disable at your own peril. Defaults to True. :param events: a list of 2-tuples, each of the form ``(callable, target)`` which will be passed to event.listen() upon construction. Provided here so that event listeners can be assigned via ``create_engine`` before dialect-level listeners are applied. :param listeners: Deprecated. A list of :class:`~sqlalchemy.interfaces.PoolListener`-like objects or dictionaries of callables that receive events when DB-API connections are created, checked out and checked in to the pool. This has been superseded by :func:`~sqlalchemy.event.listen`. """ if logging_name: self.logging_name = self._orig_logging_name = logging_name else: self._orig_logging_name = None log.instance_logger(self, echoflag=echo) self._threadconns = threading.local() self._creator = creator self._recycle = recycle self._use_threadlocal = use_threadlocal if reset_on_return in ('rollback', True, reset_rollback): self._reset_on_return = reset_rollback elif reset_on_return in (None, False, reset_none): self._reset_on_return = reset_none elif reset_on_return in ('commit', reset_commit): self._reset_on_return = reset_commit else: raise exc.ArgumentError( "Invalid value for 'reset_on_return': %r" % reset_on_return) self.echo = echo if _dispatch: self.dispatch._update(_dispatch, only_propagate=False) if _dialect: self._dialect = _dialect if events: for fn, target in events: event.listen(self, target, fn) if listeners: util.warn_deprecated( "The 'listeners' argument to Pool (and " "create_engine()) is deprecated. Use event.listen().") for l in listeners: self.add_listener(l) dispatch = event.dispatcher(events.PoolEvents) def _close_connection(self, connection): self.logger.debug("Closing connection %r", connection) try: self._dialect.do_close(connection) except (SystemExit, KeyboardInterrupt): raise except: self.logger.debug("Exception closing connection %r", connection) @util.deprecated( 2.7, "Pool.add_listener is deprecated. Use event.listen()") def add_listener(self, listener): """Add a :class:`.PoolListener`-like object to this pool. ``listener`` may be an object that implements some or all of PoolListener, or a dictionary of callables containing implementations of some or all of the named methods in PoolListener. """ interfaces.PoolListener._adapt_listener(self, listener) def unique_connection(self): """Produce a DBAPI connection that is not referenced by any thread-local context. This method is different from :meth:`.Pool.connect` only if the ``use_threadlocal`` flag has been set to ``True``. """ return _ConnectionFairy(self).checkout() def _create_connection(self): """Called by subclasses to create a new ConnectionRecord.""" return _ConnectionRecord(self) def recreate(self): """Return a new :class:`.Pool`, of the same class as this one and configured with identical creation arguments. This method is used in conjunection with :meth:`dispose` to close out an entire :class:`.Pool` and create a new one in its place. """ raise NotImplementedError() def dispose(self): """Dispose of this pool. This method leaves the possibility of checked-out connections remaining open, as it only affects connections that are idle in the pool. See also the :meth:`Pool.recreate` method. """ raise NotImplementedError() def _replace(self): """Dispose + recreate this pool. Subclasses may employ special logic to move threads waiting on this pool to the new one. """ self.dispose() return self.recreate() def connect(self): """Return a DBAPI connection from the pool. The connection is instrumented such that when its ``close()`` method is called, the connection will be returned to the pool. """ if not self._use_threadlocal: return _ConnectionFairy(self).checkout() try: rec = self._threadconns.current() if rec: return rec.checkout() except AttributeError: pass agent = _ConnectionFairy(self) self._threadconns.current = weakref.ref(agent) return agent.checkout() def _return_conn(self, record): """Given a _ConnectionRecord, return it to the :class:`.Pool`. This method is called when an instrumented DBAPI connection has its ``close()`` method called. """ if self._use_threadlocal: try: del self._threadconns.current except AttributeError: pass self._do_return_conn(record) def _do_get(self): """Implementation for :meth:`get`, supplied by subclasses.""" raise NotImplementedError() def _do_return_conn(self, conn): """Implementation for :meth:`return_conn`, supplied by subclasses.""" raise NotImplementedError() def status(self): raise NotImplementedError() class _ConnectionRecord(object): finalize_callback = None def __init__(self, pool): self.__pool = pool self.connection = self.__connect() pool.dispatch.first_connect.\ for_modify(pool.dispatch).\ exec_once(self.connection, self) pool.dispatch.connect(self.connection, self) @util.memoized_property def info(self): return {} def close(self): if self.connection is not None: self.__pool._close_connection(self.connection) def invalidate(self, e=None): if e is not None: self.__pool.logger.info( "Invalidate connection %r (reason: %s:%s)", self.connection, e.__class__.__name__, e) else: self.__pool.logger.info( "Invalidate connection %r", self.connection) self.__close() self.connection = None def get_connection(self): if self.connection is None: self.connection = self.__connect() self.info.clear() if self.__pool.dispatch.connect: self.__pool.dispatch.connect(self.connection, self) elif self.__pool._recycle > -1 and \ time.time() - self.starttime > self.__pool._recycle: self.__pool.logger.info( "Connection %r exceeded timeout; recycling", self.connection) self.__close() self.connection = self.__connect() self.info.clear() if self.__pool.dispatch.connect: self.__pool.dispatch.connect(self.connection, self) return self.connection def __close(self): self.__pool._close_connection(self.connection) def __connect(self): try: self.starttime = time.time() connection = self.__pool._creator() self.__pool.logger.debug("Created new connection %r", connection) return connection except Exception, e: self.__pool.logger.debug("Error on connect(): %s", e) raise def _finalize_fairy(connection, connection_record, pool, ref, echo): _refs.discard(connection_record) if ref is not None and \ connection_record.fairy is not ref: return if connection is not None: try: if pool.dispatch.reset: pool.dispatch.reset(connection, connection_record) if pool._reset_on_return is reset_rollback: pool._dialect.do_rollback(connection) elif pool._reset_on_return is reset_commit: pool._dialect.do_commit(connection) # Immediately close detached instances if connection_record is None: pool._close_connection(connection) except Exception, e: if connection_record is not None: connection_record.invalidate(e=e) if isinstance(e, (SystemExit, KeyboardInterrupt)): raise if connection_record is not None: connection_record.fairy = None if echo: pool.logger.debug("Connection %r being returned to pool", connection) if connection_record.finalize_callback: connection_record.finalize_callback(connection) del connection_record.finalize_callback if pool.dispatch.checkin: pool.dispatch.checkin(connection, connection_record) pool._return_conn(connection_record) _refs = set() class _ConnectionFairy(object): """Proxies a DB-API connection and provides return-on-dereference support.""" def __init__(self, pool): self._pool = pool self.__counter = 0 self._echo = _echo = pool._should_log_debug() try: rec = self._connection_record = pool._do_get() conn = self.connection = self._connection_record.get_connection() rec.fairy = weakref.ref( self, lambda ref: _finalize_fairy and \ _finalize_fairy(conn, rec, pool, ref, _echo) ) _refs.add(rec) except: # helps with endless __getattr__ loops later on self.connection = None self._connection_record = None raise if self._echo: self._pool.logger.debug("Connection %r checked out from pool" % self.connection) @property def _logger(self): return self._pool.logger @property def is_valid(self): return self.connection is not None @util.memoized_property def info(self): """Info dictionary associated with the underlying DBAPI connection referred to by this :class:`.ConnectionFairy`, allowing user-defined data to be associated with the connection. The data here will follow along with the DBAPI connection including after it is returned to the connection pool and used again in subsequent instances of :class:`.ConnectionFairy`. """ try: return self._connection_record.info except AttributeError: raise exc.InvalidRequestError("This connection is closed") def invalidate(self, e=None): """Mark this connection as invalidated. The connection will be immediately closed. The containing ConnectionRecord will create a new connection when next used. """ if self.connection is None: raise exc.InvalidRequestError("This connection is closed") if self._connection_record is not None: self._connection_record.invalidate(e=e) self.connection = None self._close() def cursor(self, *args, **kwargs): return self.connection.cursor(*args, **kwargs) def __getattr__(self, key): return getattr(self.connection, key) def checkout(self): if self.connection is None: raise exc.InvalidRequestError("This connection is closed") self.__counter += 1 if not self._pool.dispatch.checkout or self.__counter != 1: return self # Pool listeners can trigger a reconnection on checkout attempts = 2 while attempts > 0: try: self._pool.dispatch.checkout(self.connection, self._connection_record, self) return self except exc.DisconnectionError, e: self._pool.logger.info( "Disconnection detected on checkout: %s", e) self._connection_record.invalidate(e) self.connection = self._connection_record.get_connection() attempts -= 1 self._pool.logger.info("Reconnection attempts exhausted on checkout") self.invalidate() raise exc.InvalidRequestError("This connection is closed") def detach(self): """Separate this connection from its Pool. This means that the connection will no longer be returned to the pool when closed, and will instead be literally closed. The containing ConnectionRecord is separated from the DB-API connection, and will create a new connection when next used. Note that any overall connection limiting constraints imposed by a Pool implementation may be violated after a detach, as the detached connection is removed from the pool's knowledge and control. """ if self._connection_record is not None: _refs.remove(self._connection_record) self._connection_record.fairy = None self._connection_record.connection = None self._pool._do_return_conn(self._connection_record) self.info = self.info.copy() self._connection_record = None def close(self): self.__counter -= 1 if self.__counter == 0: self._close() def _close(self): _finalize_fairy(self.connection, self._connection_record, self._pool, None, self._echo) self.connection = None self._connection_record = None class SingletonThreadPool(Pool): """A Pool that maintains one connection per thread. Maintains one connection per each thread, never moving a connection to a thread other than the one which it was created in. Options are the same as those of :class:`.Pool`, as well as: :param pool_size: The number of threads in which to maintain connections at once. Defaults to five. :class:`.SingletonThreadPool` is used by the SQLite dialect automatically when a memory-based database is used. See :ref:`sqlite_toplevel`. """ def __init__(self, creator, pool_size=5, **kw): kw['use_threadlocal'] = True Pool.__init__(self, creator, **kw) self._conn = threading.local() self._all_conns = set() self.size = pool_size def recreate(self): self.logger.info("Pool recreating") return self.__class__(self._creator, pool_size=self.size, recycle=self._recycle, echo=self.echo, logging_name=self._orig_logging_name, use_threadlocal=self._use_threadlocal, _dispatch=self.dispatch, _dialect=self._dialect) def dispose(self): """Dispose of this pool.""" for conn in self._all_conns: try: conn.close() except (SystemExit, KeyboardInterrupt): raise except: # pysqlite won't even let you close a conn from a thread # that didn't create it pass self._all_conns.clear() def _cleanup(self): while len(self._all_conns) > self.size: c = self._all_conns.pop() c.close() def status(self): return "SingletonThreadPool id:%d size: %d" % \ (id(self), len(self._all_conns)) def _do_return_conn(self, conn): pass def _do_get(self): try: c = self._conn.current() if c: return c except AttributeError: pass c = self._create_connection() self._conn.current = weakref.ref(c) self._all_conns.add(c) if len(self._all_conns) > self.size: self._cleanup() return c class DummyLock(object): def acquire(self, wait=True): return True def release(self): pass class QueuePool(Pool): """A :class:`.Pool` that imposes a limit on the number of open connections. :class:`.QueuePool` is the default pooling implementation used for all :class:`.Engine` objects, unless the SQLite dialect is in use. """ def __init__(self, creator, pool_size=5, max_overflow=10, timeout=30, **kw): """ Construct a QueuePool. :param creator: a callable function that returns a DB-API connection object. The function will be called with parameters. :param pool_size: The size of the pool to be maintained, defaults to 5. This is the largest number of connections that will be kept persistently in the pool. Note that the pool begins with no connections; once this number of connections is requested, that number of connections will remain. ``pool_size`` can be set to 0 to indicate no size limit; to disable pooling, use a :class:`~sqlalchemy.pool.NullPool` instead. :param max_overflow: The maximum overflow size of the pool. When the number of checked-out connections reaches the size set in pool_size, additional connections will be returned up to this limit. When those additional connections are returned to the pool, they are disconnected and discarded. It follows then that the total number of simultaneous connections the pool will allow is pool_size + `max_overflow`, and the total number of "sleeping" connections the pool will allow is pool_size. `max_overflow` can be set to -1 to indicate no overflow limit; no limit will be placed on the total number of concurrent connections. Defaults to 10. :param timeout: The number of seconds to wait before giving up on returning a connection. Defaults to 30. :param recycle: If set to non -1, number of seconds between connection recycling, which means upon checkout, if this timeout is surpassed the connection will be closed and replaced with a newly opened connection. Defaults to -1. :param echo: If True, connections being pulled and retrieved from the pool will be logged to the standard output, as well as pool sizing information. Echoing can also be achieved by enabling logging for the "sqlalchemy.pool" namespace. Defaults to False. :param use_threadlocal: If set to True, repeated calls to :meth:`connect` within the same application thread will be guaranteed to return the same connection object, if one has already been retrieved from the pool and has not been returned yet. Offers a slight performance advantage at the cost of individual transactions by default. The :meth:`unique_connection` method is provided to bypass the threadlocal behavior installed into :meth:`connect`. :param reset_on_return: Determine steps to take on connections as they are returned to the pool. reset_on_return can have any of these values: * 'rollback' - call rollback() on the connection, to release locks and transaction resources. This is the default value. The vast majority of use cases should leave this value set. * True - same as 'rollback', this is here for backwards compatibility. * 'commit' - call commit() on the connection, to release locks and transaction resources. A commit here may be desirable for databases that cache query plans if a commit is emitted, such as Microsoft SQL Server. However, this value is more dangerous than 'rollback' because any data changes present on the transaction are committed unconditionally. * None - don't do anything on the connection. This setting should only be made on a database that has no transaction support at all, namely MySQL MyISAM. By not doing anything, performance can be improved. This setting should **never be selected** for a database that supports transactions, as it will lead to deadlocks and stale state. * False - same as None, this is here for backwards compatibility. .. versionchanged:: 0.7.6 ``reset_on_return`` accepts values. :param listeners: A list of :class:`~sqlalchemy.interfaces.PoolListener`-like objects or dictionaries of callables that receive events when DB-API connections are created, checked out and checked in to the pool. """ Pool.__init__(self, creator, **kw) self._pool = sqla_queue.Queue(pool_size) self._overflow = 0 - pool_size self._max_overflow = max_overflow self._timeout = timeout self._overflow_lock = self._max_overflow > -1 and \ threading.Lock() or DummyLock() def _do_return_conn(self, conn): try: self._pool.put(conn, False) except sqla_queue.Full: conn.close() self._overflow_lock.acquire() try: self._overflow -= 1 finally: self._overflow_lock.release() def _do_get(self): try: wait = self._max_overflow > -1 and \ self._overflow >= self._max_overflow return self._pool.get(wait, self._timeout) except sqla_queue.SAAbort, aborted: return aborted.context._do_get() except sqla_queue.Empty: if self._max_overflow > -1 and \ self._overflow >= self._max_overflow: if not wait: return self._do_get() else: raise exc.TimeoutError( "QueuePool limit of size %d overflow %d reached, " "connection timed out, timeout %d" % (self.size(), self.overflow(), self._timeout)) self._overflow_lock.acquire() try: if self._max_overflow > -1 and \ self._overflow >= self._max_overflow: return self._do_get() else: con = self._create_connection() self._overflow += 1 return con finally: self._overflow_lock.release() def recreate(self): self.logger.info("Pool recreating") return self.__class__(self._creator, pool_size=self._pool.maxsize, max_overflow=self._max_overflow, timeout=self._timeout, recycle=self._recycle, echo=self.echo, logging_name=self._orig_logging_name, use_threadlocal=self._use_threadlocal, _dispatch=self.dispatch, _dialect=self._dialect) def dispose(self): while True: try: conn = self._pool.get(False) conn.close() except sqla_queue.Empty: break self._overflow = 0 - self.size() self.logger.info("Pool disposed. %s", self.status()) def _replace(self): self.dispose() np = self.recreate() self._pool.abort(np) return np def status(self): return "Pool size: %d Connections in pool: %d "\ "Current Overflow: %d Current Checked out "\ "connections: %d" % (self.size(), self.checkedin(), self.overflow(), self.checkedout()) def size(self): return self._pool.maxsize def checkedin(self): return self._pool.qsize() def overflow(self): return self._overflow def checkedout(self): return self._pool.maxsize - self._pool.qsize() + self._overflow class NullPool(Pool): """A Pool which does not pool connections. Instead it literally opens and closes the underlying DB-API connection per each connection open/close. Reconnect-related functions such as ``recycle`` and connection invalidation are not supported by this Pool implementation, since no connections are held persistently. .. versionchanged:: 0.7 :class:`.NullPool` is used by the SQlite dialect automatically when a file-based database is used. See :ref:`sqlite_toplevel`. """ def status(self): return "NullPool" def _do_return_conn(self, conn): conn.close() def _do_get(self): return self._create_connection() def recreate(self): self.logger.info("Pool recreating") return self.__class__(self._creator, recycle=self._recycle, echo=self.echo, logging_name=self._orig_logging_name, use_threadlocal=self._use_threadlocal, _dispatch=self.dispatch, _dialect=self._dialect) def dispose(self): pass class StaticPool(Pool): """A Pool of exactly one connection, used for all requests. Reconnect-related functions such as ``recycle`` and connection invalidation (which is also used to support auto-reconnect) are not currently supported by this Pool implementation but may be implemented in a future release. """ @memoized_property def _conn(self): return self._creator() @memoized_property def connection(self): return _ConnectionRecord(self) def status(self): return "StaticPool" def dispose(self): if '_conn' in self.__dict__: self._conn.close() self._conn = None def recreate(self): self.logger.info("Pool recreating") return self.__class__(creator=self._creator, recycle=self._recycle, use_threadlocal=self._use_threadlocal, reset_on_return=self._reset_on_return, echo=self.echo, logging_name=self._orig_logging_name, _dispatch=self.dispatch, _dialect=self._dialect) def _create_connection(self): return self._conn def _do_return_conn(self, conn): pass def _do_get(self): return self.connection class AssertionPool(Pool): """A :class:`.Pool` that allows at most one checked out connection at any given time. This will raise an exception if more than one connection is checked out at a time. Useful for debugging code that is using more connections than desired. .. versionchanged:: 0.7 :class:`.AssertionPool` also logs a traceback of where the original connection was checked out, and reports this in the assertion error raised. """ def __init__(self, *args, **kw): self._conn = None self._checked_out = False self._store_traceback = kw.pop('store_traceback', True) self._checkout_traceback = None Pool.__init__(self, *args, **kw) def status(self): return "AssertionPool" def _do_return_conn(self, conn): if not self._checked_out: raise AssertionError("connection is not checked out") self._checked_out = False assert conn is self._conn def dispose(self): self._checked_out = False if self._conn: self._conn.close() def recreate(self): self.logger.info("Pool recreating") return self.__class__(self._creator, echo=self.echo, logging_name=self._orig_logging_name, _dispatch=self.dispatch, _dialect=self._dialect) def _do_get(self): if self._checked_out: if self._checkout_traceback: suffix = ' at:\n%s' % ''.join( chop_traceback(self._checkout_traceback)) else: suffix = '' raise AssertionError("connection is already checked out" + suffix) if not self._conn: self._conn = self._create_connection() self._checked_out = True if self._store_traceback: self._checkout_traceback = traceback.format_stack() return self._conn class _DBProxy(object): """Layers connection pooling behavior on top of a standard DB-API module. Proxies a DB-API 2.0 connect() call to a connection pool keyed to the specific connect parameters. Other functions and attributes are delegated to the underlying DB-API module. """ def __init__(self, module, poolclass=QueuePool, **kw): """Initializes a new proxy. module a DB-API 2.0 module poolclass a Pool class, defaulting to QueuePool Other parameters are sent to the Pool object's constructor. """ self.module = module self.kw = kw self.poolclass = poolclass self.pools = {} self._create_pool_mutex = threading.Lock() def close(self): for key in self.pools.keys(): del self.pools[key] def __del__(self): self.close() def __getattr__(self, key): return getattr(self.module, key) def get_pool(self, *args, **kw): key = self._serialize(*args, **kw) try: return self.pools[key] except KeyError: self._create_pool_mutex.acquire() try: if key not in self.pools: kw.pop('sa_pool_key', None) pool = self.poolclass(lambda: self.module.connect(*args, **kw), **self.kw) self.pools[key] = pool return pool else: return self.pools[key] finally: self._create_pool_mutex.release() def connect(self, *args, **kw): """Activate a connection to the database. Connect to the database using this DBProxy's module and the given connect arguments. If the arguments match an existing pool, the connection will be returned from the pool's current thread-local connection instance, or if there is no thread-local connection instance it will be checked out from the set of pooled connections. If the pool has no available connections and allows new connections to be created, a new database connection will be made. """ return self.get_pool(*args, **kw).connect() def dispose(self, *args, **kw): """Dispose the pool referenced by the given connect arguments.""" key = self._serialize(*args, **kw) try: del self.pools[key] except KeyError: pass def _serialize(self, *args, **kw): if "sa_pool_key" in kw: return kw['sa_pool_key'] return tuple( list(args) + [(k, kw[k]) for k in sorted(kw)] )
发表评论
-
python读取图片exif信息
2014-11-06 10:53 2401f = open("/home/admin/tlo ... -
Python程序的执行原理
2014-04-14 15:44 17241. 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 1403参考: http://youngsterxyf.githu ... -
pyhon命令行工具optparse
2013-11-10 16:27 1029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 1195Python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 1681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 7351. 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 1212原文:使用tesseract-ocr破解网站验证码 ... -
和豆瓣CMGS交流
2013-06-20 17:36 5838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 4247>>> k = u'中' >> ... -
python shell 交互模式
2013-04-28 22:17 1630python 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 1297helloworld,笔记本上: gunicorn ... -
python的mysql客户端-MySQLdb
2013-04-04 10:13 1161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 2958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 1645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 2119import pymysql conn = pymysq ... -
python日期计算
2012-12-20 19:26 44python日期计算: import datet ...
相关推荐
python_sqlalchemy.py: 作为一个Pythoner, 不会SQLAlchemy都不好意思跟同行打招呼! python_oneline.py: 几个小例子告诉你, 一行Python代码能干哪些事 python_requests.py: Python中最好用的爬虫库Requests代码实例 ...
from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, String Base = declarative_base() class User(Base): __tablename__ = 'users' id = Column(Integer, ...
SQLAlchemy-1.2.10.tar.gzSQLAlchemy-1.2.10.tar.gzSQLAlchemy-1.2.10.tar.gzSQLAlchemy-1.2.10.tar.gzSQLAlchemy-1.2.10.tar.gzSQLAlchemy-1.2.10.tar.gzSQLAlchemy-1.2.10.tar.gzSQLAlchemy-1.2.10.tar....
python库。 资源全名:graphene_sqlalchemy-2.0.0-py2.py3-none-any.whl
安装完成后,就可以在Python代码中导入SQLAlchemy库并开始使用它的各种功能,如创建会话(Session)、定义模型(ORM Model)、执行SQL查询等。 SQLAlchemy 的主要特性包括: 1. **ORM(对象关系映射)**:允许...
在`Flask-Philo-SQLAlchemy-0.5.2.tar.gz`这个压缩包中,包含了该扩展的源代码和其他相关文件。解压后,我们可以看到`Flask-Philo-SQLAlchemy-0.5.2`目录,这个目录下包含了模块、测试、文档等多个子目录,它们分别...
在Python世界中,这样的结构通常包括`setup.py`(安装脚本)、`README`(说明文件)、`LICENSE`(许可文件)、`requirements.txt`(依赖项列表)、`tests`(测试代码)以及`src`或`verktyg_sqlalchemy`(实际的代码...
使用 `pip` 命令可以直接安装这个文件,避免了编译源代码的过程,提高了安装效率。 5. **使用与安装**:在安装 SQLAlchemy 1.4.50 时,只需在命令行中输入 `pip install SQLAlchemy-1.4.50-cp38-cp38-win_amd64.whl...
资源分类:Python库 所属语言:Python 资源全名:marshmallow-sqlalchemy-0.14.1.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
from sqlalchemy.ext.declarative import declarative_base Base = declarative_base() class User(Base): __tablename__ = 'users' id = Column(Integer, primary_key=True) name = Column(String) email = ...
在 SQLAlchemy-1.1.9.tar.gz 这个压缩包中,包含的是 SQLAlchemy 的 1.1.9 版本源代码。这个版本可能是在 2017 年左右发布的,因为通常软件库会定期发布新版本来修复已知问题、添加新功能或提高性能。安装此版本之前...
8. 使用sqlalchemy:讲解如何使用sqlalchemy 9. 整合SQLite UDF到webpy数据库层:展示如何整合SQLite UDF到webpy数据库层 10. 使用字典动态构造where子句:讲解如何使用web.py使用字典动态构造where子句 部署 1. ...
通过定义 Python 类并继承 `sqlalchemy.ext.declarative.declarative_base`,你可以创建模型类,这些类的实例与数据库中的表行相对应。ORM 提供了丰富的查询 API,使得在 Python 代码中操作数据变得简单直观。 2. *...
资源分类:Python库 所属语言:Python 资源全名:SQLAlchemy-1.2.16.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
资源分类:Python库 所属语言:Python 资源全名:aiohttp-sqlalchemy-0.13.0.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
8. **SQLAlchemy 集成**: 利用 SQLAlchemy ORM。 9. **SQLite UDF 整合**: 添加自定义 SQLite 用户定义函数。 10. **动态构造 WHERE 子句**: 动态生成 SQL 查询的 WHERE 条件。 ## 部署 1. **通过 FastCGI 和 ...
资源分类:Python库 所属语言:Python 资源全名:pytest-sqlalchemy-0.2.0.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059