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A connection pool is a pool of physical connections that can be reused across multiple client sessions. Instead of creating and destroying a connection each time the client needs one, we maintain a pool of connections. These connections are created typically once in the beginning (or on demand) and destroyed only when an application shutdown or an error occurs. Connection pooling enables multiple clients to share a small pool of pre-established connections, thus improving performance and scalability tremendously. In this way, for example, a pool of 50 to 100 physical database connections can be shared by 100, 500, 1,000, or more users. In a three-tier architecture, the connection pool is maintained by the application server. When an application requests a connection, the application server takes a connection from the pre-established pool, marks it as in use, and hands it over to the application. During the request, the application has effectively reserved (or checked out) this connection object. When the application closes a connection, the application server returns the connection back to the pool after clearing the connection state (it does not actually close the physical connection).

There are two performance advantages to this approach: Since we maintain a pool of connections (instead of creating and destroying connections with each request), the overhead of establishing database connections goes down dramatically for the case of a large number of users Since the application reserves the connection only for the duration of the request, we don t waste connection resources when the application is idle (ie, between requests) This again translates directly to improved performance and scalability Note that this solution scales only if you can map the large number of end users to a much smaller number of actual database users On a popular website such as http://wwwamazoncom, the number of users can run into the millions; creating a connection pool for these many different users is not feasible.

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A boolean value indicating whether or not the event associated with the Alt key occurred Returns a Sys.UI.MouseButton enumeration value indicating the actual button of the mouse that was clicked Returns the character code of the key that initiated the event Returns the x-coordinate (in pixels) of the mouse pointer when the event was triggered Returns the y-coordinate (in pixels) of the mouse pointer when the event was triggered A boolean value indicating whether or not the event associated with the Ctrl key occurred Returns the x-coordinate (in pixels)of the mouse relative to the object that triggered the event Returns the y-coordinate (in pixels)of the mouse relative to the object that triggered the event Returns the x-coordinate (in pixels)of the mouse relative to the center of the screen Returns the y-coordinate (in pixels)of the mouse relative to the center of the screen A boolean value indicating whether or not the event associated with the Shift key occurred Returns the target object used by the triggered event Returns the name of the triggered event

For example, imagine our website has 1,000,000 users, and for each user we have to connect as a separate database account Say we have a connection pool of 100 connections The connections in this pool are good for use only for the 100 users whose connections exist in the pool currently The moment a new user tries to connect, the connection pool cannot serve that user, since each user requires connection to a different account Thus, one of the connections will have to be aged out and a new connection established for this user Clearly, the purpose of connection pool is defeated if you need to tear down and create a connection every time a new user whose connection is not currently in the pool tries to connect.

Contrast this with a scenario where the 1,000,000 users can be mapped into 10 database users based on different privileges each user requires Now the likelihood of a new user getting a hit in the connection pool is very high, thus allowing us to share the 100 connections among a much larger end-user population So how do we map these many users to a manageable number of database users We will look at this aspect in detail in the next chapter Let s now take a brief look at what the term connection caching means before we discuss Oracle9i connection pooling and caching, followed by Oracle 10g implicit connection caching..

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