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In this fashion, Oracle will have access to all of the relevant statistics for a table and can come up with an optimal plan I find many times people use temporary tables because they learned in other databases that joining too many tables in a single query is a bad thing This is a practice that must be unlearned for Oracle development Rather than trying to outsmart the optimizer and breaking what should be a single query into three or four queries that store their subresults into temporary tables, and then combining the temporary tables, you should just code a single query that answers the original question Referencing many tables in a single query is OK; the temporary table crutch is not needed in Oracle for this purpose In other cases, however, the use of a temporary table in a process is the correct approach.

********************************************************************** -- No renamed parameters found. No changes are required. . ********************************************************************** Obsolete/Deprecated Parameters: [Update Oracle Database 11.1 init.ora or spfile] ********************************************************************** --> "background_dump_dest" replaced by "diagnostic_dest" --> "user_dump_dest" replaced by "diagnostic_dest" --> "core_dump_dest" replaced by "diagnostic_dest" . ********************************************************************** Components: [The following database components will be upgraded or installed] ********************************************************************** --> Oracle Catalog Views [upgrade] VALID --> Oracle Packages and Types [upgrade] VALID --> JServer JAVA Virtual Machine [upgrade] VALID --> Oracle XDK for Java [upgrade] VALID --> Oracle Workspace Manager [upgrade] VALID --> OLAP Analytic Workspace [upgrade] VALID --> OLAP Catalog [upgrade] VALID --> EM Repository [upgrade] VALID --> Oracle Text [upgrade] VALID --> Oracle XML Database [upgrade] VALID --> Oracle Java Packages [upgrade] VALID --> Oracle interMedia [upgrade] VALID --> Spatial [upgrade] VALID --> Data Mining [upgrade] VALID --> Expression Filter [upgrade] VALID --> Rule Manager [upgrade] VALID --> Oracle OLAP API [upgrade] VALID . ********************************************************************** Miscellaneous Warnings ********************************************************************** WARNING: --> Database is using an old timezone file version. .... Patch the 10.2.0.1.0 database to timezone file version 4 .... BEFORE upgrading the database. Re-run utlu111i.sql after .... patching the database to record the new timezone file version. WARNING: --> Database contains stale optimizer statistics. .... Refer to the 11g Upgrade Guide for instructions to update .... statistics prior to upgrading the database. .... Component Schemas with stale statistics: .... SYS .... OLAPSYS .... SYSMAN .... CTXSYS .... XDB WARNING: --> Database contains schemas with objects dependent on network packages. .... Refer to the 11g Upgrade Guide for instructions to configure Network ACLs. .... USER SYSMAN has dependent objects. WARNING: --> EM Database Control Repository exists in the database. .... Direct downgrade of EM Database Control is not supported. Refer to the .... 11g Upgrade Guide for instructions to save the EM data prior to upgrade.

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. PL/SQL procedure successfully completed. SQL> spool off Make all the changes pointed out by the Pre-Upgrade Information Tool before proceeding with the upgrade.

To see what sort of space hash clusters take, we ll use a small utility stored procedure SHOW_SPACE (for details on this procedure, see the Setting Up Your Environment section at the beginning of the book) that we ll use in this chapter and in the next chapter This routine just uses the DBMS_SPACEsupplied package to get details about the storage used by segments in the database Now, if we issue a CREATE CLUSTER statement, such as the following, we can see the storage it allocated: ops$tkyte%ORA11GR2> create cluster hash_cluster 2 ( hash_key number ) 3 hashkeys 1000 4 size 8192.

For example, I once wrote a Palm sync application to synchronize the date book on a Palm Pilot with calendar information stored in Oracle The Palm gives me a list of all records that have been modified since the last hot synchronization I must take these records and compare them against the live data in the database, update the database records, and then generate a list of changes to be applied to the Palm This is a perfect example of when a temporary table is very useful I used a temporary table to store the changes from the Palm in the database I then ran a stored procedure that bumps the Palm-generated changes against the live (and very large) permanent tables to discover what changes need to be made to the Oracle data, and then to find the changes that need to come from Oracle back down to the Palm.

Back up the database you are upgrading, either by using RMAN or by using your own backup techniques.

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