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CHAPTER 13 LOADING AND TRANSFORMING DATA
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Using the Oracle Streams feature, you can capture, propagate, and apply information within an Oracle database, between two Oracle databases, among multiple Oracle databases, or between an Oracle database and a non-Oracle database. Using Streams, you can transform the streams of data at any of the three points: during capture of data, during propagation to the target and during application at the destination site. 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. 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 remote standby database, which will be a copy of your production database. The standby database is open for read/write, and you can query it as updates are applied. Standby databases are a good solution for offloading queries from your production database.
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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.
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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 the database level. Streams capture events in one of two ways: explicit or implicit. Explicit capture is when users and applications manually enqueue events into a queue. These userenqueued 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: A reader server, which reads redo logs and divides them into regions One or more prepare servers, which scan the regions in parallel and perform prefiltering of changes A builder server, which merges redo records it receives from the prepare servers and hands them to the capture process
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CHAPTER 13 LOADING AND TRANSFORMING DATA
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The capture process formats the merged redo records into a logical change record (LCR) and enqueues them into the staging area for further processing. An LCR describes changes made to a single row with a DML statement. A single DML statement can produce several LCRs. An LCR, which is a set of captured changes, is also called an event. LCRs containing information about table data are called row LCRs, and those containing information about DDL changes are called DDL LCRs. Rules used by the capture process determine which changes it captures. In the staging element, the Oracle Streams process stores events in a queue. These events could include both explicit and implicit changes. In the final stage, consumption, the queued events are consumed in the target database. An event is consumed when you dequeue it from an event queue. Users and applications can dequeue events explicitly. However, most of the dequeueing is through an implicit apply process. The dequeueing and processing of the captured data is done according to rules. The apply process may apply the captured data directly or transform it using PL/SQL code.
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