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The events may include messages queued into a database queue by applications as well as DML and DDL changes You can use Oracle Streams for the following applications: Data replication: You can use Oracle Streams to capture changes from a source database, stage and propagate these changes to a target databases, and consume or apply the changes to the target database Advanced message queuing: The Oracle Streams Advanced Queuing (AQ) feature lets you enqueue messages into a queue, propagate messages to subscribing queues, notify user applications that messages are ready for consumption, and dequeue messages at their destination Event management and notification: The ability to capture events and propagate them based on rules lets you use Oracle Streams for event notification.

Figure 2-1. Notifications as signals sent from one place to another The receiver doesn t necessarily have to do anything when it receives a notification. What it does is not the concern of the sender. In Figure 2-1, the arrow shows the direction of travel of the signal. Although the arrow usually shows the direction of data flow, this isn t always the case. For example, if a notification is delivered with a procedure call, the called method might have no input parameters and return a value. In this case, the direction of data flow would be in the opposite direction of the notification. Notifications can be sent pretty much anywhere, limited only by their implementation strategy. Notifications can cross process boundaries, machine boundaries, and even network boundaries. Notifications sent by one component sometimes trigger events in others, producing a sequence of notifications and events that propagate through a system in a chain reaction. One component s notifications are another component s events, as shown in Figure 2-2.

Events staged in a queue may be dequeued explicitly by a messaging client or an application, and actions can be taken based on these events, including e-mail notification and cell phone transmission Data warehouse loading: Streams can capture changes made to a production database and send those changes over to a data warehouse During the apply process, you can apply transformations to the data before you load it in the target database Data protection: You can use the streams technology to maintain a logical standby database The logical standby database can remain open for read/write operations, and you can query it as updates are applied Standby databases are a good solution for offloading queries from your production database..

You can use Oracle Streams at multiple levels of granularity: database, schema, and table. Oracle Streams can use rules to configure the capture of changes for the entire database, a specific schema, or a set of tables.

Figure 2-2. Notifications and events in a chain reaction OO languages often provide built-in support for notifications based on procedure calls. In C#, VB .NET, and Delphi Object Pascal, the procedure to call is known as the event handler. The sender

The three basic elements of Oracle Streams technology are capture, staging, and consumption of events within the Oracle database. The capture process captures change information from the source database, at the table, schema, or database level. Streams capture events in one of two ways: explicitly or implicitly. Explicit capture is when users and applications manually enqueue events into a queue. These user-enqueued events can be redo log change records or messages of a user-defined type called user messages. In the implicit capture process, the server captures DML and DDL changes from the source database by mining the redo logs and archived redo logs. The implicit capture process, which is an Oracle background process, consists of the following components: