For R/W Splitting, we need a connection pooling.
为了实现读写分离，我们需要连接池。
New connection pooling support.
新连接池支持。
Connection Pooling and why it is Used?
什么是连接池以及为何使用它？
Data sources allow us to take advantage of connection pooling.
数据源允许利用连接池。
Connection string plays a vital role in connection pooling.
连接字符串在连接池中扮演着非常重要的角色。
Deploy a data source to Community Edition for connection pooling.
将一个数据源部署到CommunityEdition，以用于连接池。
Note that you can also specify connection pooling parameters here.
请注意，您还可以在这里指定连接池参数。
Let us see Connection Pooling Creation Mechanism in more detail.
让我们看一下连接池创建的更多细节。
The remedy for this problem would be to implement connection pooling.
解决这一问题的方法是使用连接池。
Without connection pooling, that is of course expensive and not recommended.
如果没有连接池，代价当然会很高，也不会建议那样做。
In that situation, the appropriate JDBC driver renders the connection pooling.
在那种情况下，适当的JDBC驱动程序将提供连接合用。
Therefore you must turn off connection pooling in order to use application roles.
因此，您必须关闭连接池才能使用应用程序角色。
Therefore, it is very important that an application employs a connection pooling mechanism.
因此，应用程序采用连接池机制至关重要。
An additional advantage of this approach is that you can use connection pooling with DataSources.
该方法的另一个优点是您可以对于多个数据源使用连接池。
That module does not include connection pooling, but should work perfectly well with antipool.py.
该模块不包含连接池化，但可与antipool . py完美协作。
There are, for example, specific libraries that manage connection pooling within a specific development language.
例如，有一些特别的库可以管理特定开发语言内的连接池。
There are, for example, specific libraries that manage connection pooling within a specific development language.
例如，有一些特别的库可以管理特定开发语言内的连接池。
应用推荐