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The .NET convention of including a sender reference in the payload doesn t automatically couple the recipient to the sender, because the recipient gets a generic reference to an Object. The recipient would become coupled to the sender if the recipient needed to access properties or methods of the sender. To do so, the recipient would typically contain code to typecast the Object argument into the sender s type, causing type coupling. Obvents1 are an example of a system using object-based payloads in a distributed environment. Obvents are the objects used as arguments in a PC-based notification delivery system, and are conceptually similar to the Event arguments used in the JavaBeans event-listener model. Using Obvents, subscribers subscribe to publishers by specifying the type of Obvent they re interested in, which functions as a sort of subscription filter. Another way to use objects in the payload is to support what might be called notification forwarding or relaying, shown in Figure 4-9.

You can use either a clock time or an SCN to define the exact point to which you wish to restore. If you specify a clock time, Oracle will pick an SCN that s within three seconds of this clock time. Oracle retains the mapping between your clock time and SCNs for a period that is as long as your UNDO_RETENTION initialization parameter.

You can use flashback techniques at the row, table, or database levels, as follows: Row level: You can use Flashback techniques to undo erroneous changes to individual rows. There are four types of row-level Flashback techniques, and all of them rely on undo data stored in the undo tablespace: Flashback Query: Allows you to view old row data based on a point in time or an SCN. You can view the older data and, if necessary, retrieve it and undo erroneous changes. Flashback Versions Query: Allows you to view all versions of the same row over a period of time so that you can undo logical errors. It can also provide an audit history of changes, effectively allowing you to compare present data against historical data without performing any DML activity. Flashback Transaction Query: Lets you view changes made at the transaction level. This technique helps in analysis and auditing of transactions, such as when a batch job runs twice and you want to determine which objects were affected. Using this technique, you can undo changes made by an entire transaction during a specified period. Flashback Transaction Backout: Lets you back out a transaction along with all its dependent transactions, with a single click.

Payload: (objA, objB)

Table level: There are two main Flashback features available at the table level: Flashback Table: Restores a table to a point in time or to a specified SCN without restoring datafiles. This feature uses DML changes to undo the changes in a table. The Flashback Table feature relies on undo data. Flashback Drop: Allows you to reverse the effects of a DROP TABLE statement, without resorting to a point-in-time recovery. The Flashback Drop feature uses the Recycle Bin to restore a dropped table.

Database level: The Flashback Database feature allows you to restore an entire database to a point in time, thus undoing all changes since that time. For example, you can restore a dropped schema or an erroneously truncated table. Flashback Database mainly uses flashback logs to retrieve older versions of the data blocks; it also relies, to a much smaller extent, on archived redo logs to completely recover a database without restoring datafiles and performing traditional media recovery. As you can see, Oracle s Flashback technology employs a variety of techniques. The row-level Flashback techniques and Flashback Table use undo data and are discussed in 6. In addition, there is also a Flashback Data Archive feature that lets you store and track transactional changes to a table s data. You can use the archive for queries involving historical data or for meeting with regularity compliance requirements. Flashback Drop and Flashback Database rely on the new concept of a Recycle Bin and Flashback log data, respectively, to undo errors at various levels. We will focus on these latter two techniques in this chapter.