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I, as the developer, knew the average number of rows I might expect, the distribution of the data, the selectivity of the indexes, and so on I needed a way to inform the optimizer of these better guesses There are three ways to give the optimizer statistics on the global temporary tables One is via dynamic sampling (new in Oracle9i Release 2 and above) and the other is the DBMS_STATS package, which has two ways to accomplish this First, let s look at dynamic sampling Dynamic sampling is the optimizer s ability, when hard parsing a query, to scan segments in the database (sample them) to collect statistics useful in optimizing that particular query It is akin to doing a miniature gather statistics command during a hard parse.

If you re upgrading from the Oracle Database 9i Release 2 (9.2) database, you must create a Sysaux tablespace, which is mandatory for the Oracle 10g and 11g releases. Here s the code for creating the Sysaux tablespace. SQL> CREATE TABLESPACE sysaux DATAFILE '/u01/app/oracle/sysaux01.dbf' SIZE 1000m EXTENT MANAGEMENT LOCAL SEGMENT SPACE MANAGEMENT AUTO ONLINE; The database is now technically converted into an Oracle Database 11g version database, as the following query shows: SQL> SELECT * FROM V$VERSION; BANNER Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - Production PL/SQL Release 11.1.0.6.0 - Production CORE 11.1.0.6.0 - Production TNS for Linux: Version 11.1.0.6.0 - Production NLSRTL Version 11.1.0.6.0 - Production SQL> In the next step, you actually upgrade the current database to the 11.1 version.

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This is not necessarily a bad thing; we built the hash cluster to have very fast access to the data by a hash key lookup We did not build it to full scan it frequently Now we can start placing tables into the hash cluster in the same fashion we did with index clusters: Ops$tkyte@ORA11GR2> create table hashed_table 2 ( x number, data1 varchar2(4000), data2 varchar2(4000) ) 3 cluster hash_cluster(x); Table created To see the difference a hash cluster can make, I set up a small test I created a hash cluster, loaded some data in it, copied this data to a regular table with a conventional index on it, and then did random reads on each table (the same random reads on each) Using runstats, SQL_TRACE, and TKPROF, I was able to determine the characteristics of each.

From the Oracle Database 11g Release 1 (11.1) environment, run the catupgrd.sql script (found in the $ORACLE_HOME/rdbms/admin directory). This script automatically runs the appropriate upgrade script for the database version you re upgrading and uses procedures from the DBMS_REGISTRY package to execute various component upgrades. Make sure you re logged in as a user with SYSDBA privileges, and run the upgrade script from the new environment: SQL> @$ORACLE_HOME/rdbms/admin/catupgrd.sql The catupgrd.sql script creates and alters certain data dictionary tables and upgrades or installs several database components in the new database.

The following is the setup I performed, followed by the analysis: ops$tkyte%ORA11GR2> create cluster hash_cluster 2 ( hash_key number ) 3 hashkeys 75000 4 size 150 5 / Cluster created ops$tkyte%ORA11GR2> create table t_hashed 2 cluster hash_cluster(object_id).

In Oracle 10g, dynamic sampling will work out of the box, because the default setting has been increased from 1 to 2, and at level 2, the optimizer will dynamically sample any unanalyzed object referenced in a query processed by the optimizer prior to evaluating the query plan In 9i Release 2,.

After the catupgd.sql script finishes executing, you must run the new upgrade script called catuppset.sql to perform upgrade actions that don t require the database to be in upgrade mode. SQL> @$ORACLE_HOME/rdbms/admin/catuppst.sql You can run the catuppst.sql script simultaneously with the catupgd.sql script in a different SQL*Plus session.

Restart the instance to reinitialize the system parameters. The restart ensures that all caches and buffers are cleared and ensures the integrity and consistency of the newly upgraded database.

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