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It is very common to use payloads containing nothing but strings. After all, strings can be used to represent many different scalar values, like Booleans, numbers, and dates. When a payload uses only strings to encode scalar types, the notification recipient incurs no type coupling to custom types. For Internet-based distributed systems, UTF-8 character encoding is the most efficient for Western languages. UTF-16 is required for most Asian character sets. As an example of a string-based payload, consider a component that might display book pages to the user. When the user changes the page, the component might fire an event. The payload could provide information about the selected page, such as the page title, page number, and document author, using the payload shown in Figure 4-2.

Connect to all three databases the catalog, target, and auxiliary databases as follows: $ rman target sys/sys_passwd@nick catalog rman/rman1@nina auxiliary system/oracle@aux 5 Perform a TSPITR If you want to recover until a certain time, for example, you can use the following statement (assuming your NLS_DATE format uses the following format mask: Mon DD YYYY HH24:MI:SS): RMAN> RECOVER TABLESPACE users UNTIL TIME ('JUN 30 2005 12:00:00'); This is a deceptively simple step, but RMAN performs a number of tasks in this step It restores the datafiles in the users tablespace to the auxiliary database and recovers them to the time you specified It then exports the metadata about the objects in the tablespaces from the auxiliary to the target database RMAN also uses the SWITCH command to point the control file to the newly recovered datafiles 6.

Once the recovery is complete, bring the user tablespace online: $ rman target sys/sys_passwd@nick RMAN> SQL "alter tablespace users online"; RMAN> Exit; 7 Shut down the auxiliary instance and remove all the control files, redo log files, and datafiles pertaining to the auxiliary database..

Property Name "PageTitle" Property Value "Baking a Potato" "14" "Peter Hughes"

Oracle provides the excellent LogMiner utility, which helps you perform precision recovery by using the data captured in the redo logs. LogMiner can read the redo logs, which opens the door to a number of possibilities. Remember that redo logs hold the information about the history of the changes made to the database. Although you can use LogMiner s capability to read redo logs for security and auditing purposes, our interest in it in this chapter is solely for database recovery.

When DBAs fix user errors with a PITR, there is a possible loss of valuable data LogMiner obviates the need for a recovery when you are trying to undo a minor change to the data In cases where you need to undo a committed change to just one table, LogMiner can help you identify the exact transaction, read the redo log files, and undo the changes that were incorrectly made If you need to recover from a massive error, LogMiner can still help by pinpointing the time to which you need to recover from backups You can then perform a time-based or change-based recovery LogMiner makes it easy to perform fine-grained recovery by reversing unwanted changes from a table In addition to serving as a fine-grained recovery tool, the LogMiner utility can help you reconstruct SQL statements to help in auditing and debugging.

You can also use this tool to discover the time frame in which a logical corruption occurred LogMiner uses the DBMS_LOGMNR and the DBMS_LOGMNR_D packages supplied by Oracle (along with a couple of other, less important packages) to extract the information from the redo logs In addition, LogMiner uses several dynamic performance views to help analyze the information contained in the redo logs You can give regular users access to the SYS-owned packages by granting them the EXECUTE_CATALOG_ROLE role To enable LogMiner to match its object IDs with actual database object names, you have to specify a data dictionary to use, and the easiest thing to do is assign LogMiner the normal data dictionary that belongs to the database The V$LOGMNR_CONTENTS view holds a wealth of information that LogMiner uses to help remove unwanted changes in table data.

"PageNumber" "DocumentAuthor"

Here is a brief list of the types of information recorded in the V$LOGMNR_CONTENTS view: Time stamp Username Type of action (insert, update, delete, or DDL) The transaction numbers and SCNs The tables involved in the transaction A reconstruction of the SQL that made the changes SQL that will undo the change, if necessary.