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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.

divide these statistics into two groups: cumulative statistics and database metrics. While cumulative statistics show the accumulated values of key database statistics, metrics measure the rate of change in the cumulative performance statistics.

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.

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Cumulative statistics are the accumulated total value of particular statistics since the start of an Oracle instance. The total logons statistic, for example, is a cumulative statistic. Oracle collects several types of cumulative statistics, including statistics for segments and SQL statements, as well as session-wide and system-wide statistics. By comparing the delta values the change in the value of the cumulative statistics between a beginning and an ending period Oracle analyzes database performance during a specific interval of time. The Automatic Workload Repository (AWR) stores important cumulative statistics. I discuss the AWR in the The Automatic Workload Repository (AWR) section of this chapter.

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.

Sample data represents a sample of the total amount of data available. The Automatic Session History (ASH) feature automatically collects session sample data, which represents a sample of the current state of all active sessions. ASH collects the data in memory, where you can view it with the help of V$ views. The AWR helps save the ASH data permanently by collecting it as part of its regular snapshots. I discuss the ASH feature in detail in the Active Session History (ASH) section of this chapter.

as a mechanism is in place for key management In order for the private key cryptographic configuration to be effective and not simply offer a sense of false security to the administrators, keys must be delivered securely to each participating device and subsequently be stored securely either in a key file or directly in the device configuration statements The crux of the problem with key distribution in private key cryptography is that in order to securely transmit a secret key over an insecure network, the key must be encrypted And in order to encrypt a secret key, another secret key is required.

Unlike traditional recovery techniques, the primary use of Flashback techniques isn t to recover from a media loss, but to recover from human errors. For example, you may accidentally change the wrong set of data or drop a table. Or you may just want to query historical data and perform change analysis. In some extreme cases, you may want to revert the entire database to a previous point in time.

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