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Adding other tablespaces and datafiles within an OMF file system is easy. All you have to do is invoke the CREATE TABLESPACE command without the DATAFILE keyword. Oracle will automatically create the datafiles for the tablespace in the location specified in the DB_CREATE_FILE_DEST parameter. The example that follows shows how to create the tablespace: SQL> ALTER SYSTEM SET DB_CREATE_FILE_DEST = 2 '/test01/app/oracle/ora_omf/finance1'; System altered. SQL> CREATE TABLESPACE omftest; Tablespace created. SQL> SELECT file_name FROM dba_data_files 2 WHERE tablespace_name='OMFTEST'; FILE_NAME ----------------------------------------------------------/test01/app/oracle/oradata/ora_omf/ora_omftest_yj7590bm.dbf SQL> Compare the OMF tablespace-creation statement shown previously with the typical tablespacecreation statement, and you ll see how OMF simplifies database administration. Adding datafiles is also simple with OMF, as shown by the following example: SQL> ALTER TABLESPACE omftest ADD DATAFILE; OMF files, as you can see, simplify file administration chores and let you create and manage databases with a small number of initialization parameters. You can easily set up the necessary number of locations for your online redo log files, control files, and archive log files by specifying the appropriate value for the various OMF parameters. Oracle s ASM-based file system relies on the OMF file system.

3 rows selected. Next, we insert another row into dep_email_addresses. This row is obtained as the result of a query from the same table (this shows how to use the syntax for insert into <table_name> <select from>-type statements with tables containing columns of the collection type). The code is even more complicated in this case. The innermost select uses the syntax to unnest the varray column values, as you saw in the previous example. The keyword multiset is used to specify that the subquery can return more than a row (without it, Oracle will give an error if the subquery returns more than one row). The cast function casts a value from one type to another. We use it here to cast the resulting query rows into our varray type: benchmark@ORA10G> insert into dep_email_addresses 2 select 20, 3 cast 4 ( 5 multiset 6 ( 7 select a.column_value 8 from dep_email_addresses c, TABLE(c.email_addresses) a 9 ) 10 as varray_of_varchars 11 ) 12 from dep_email_addresses 13 where dep_no = 10; 1 row created.

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Normally, the CBO assumes that data is uniformly distributed in a table. There are times when data in a table isn t distributed in a uniform way. If you have an extremely skewed data distribution in a table, you re better off using histograms to store the column statistics. If the table data is heavily skewed toward some values, the presence of histograms provides more efficient access methods. Histograms use buckets to represent distribution of data in a column, and Oracle can use these buckets to see how skewed the data distribution is. You can use the following types of histograms in an Oracle database: Height-based histograms divide column values into bands, with each band containing a roughly equal number of rows. Thus, for a table with 100 rows, you d create a histogram with 10 buckets if you wanted each bucket to contain 10 rows. Frequency-based histograms determine the number of buckets based on the distinct values in the column. Each bucket contains all the data that has the same value.

You create histograms by using the METHOD_OPT attribute of the DBMS_STATS procedure such as GATHER_TABLE_STATS, GATHER_DATABASE_STATS, and so on. You can either specify your own histogram creation requirements by using the FOR COLUMNS clause, or use the AUTO or SKEWONLY values for the METHOD_OPT attribute. If you choose AUTO, Oracle will decide which columns it should collect histograms for, based on the data distribution and workload. If you choose SKEWONLY, Oracle will base the decision only on the data distribution of the columns. In the two examples that follow, I use the FOR COLUMNS clause to specify the creation of the histograms.

The following example shows how to create a height-based histogram while collecting the optimizer statistics: SQL> BEGIN DBMS_STATS.GATHER_table_STATS (OWNNAME => 'HR', TABNAME => 'BENEFITS', METHOD_OPT => 'FOR COLUMNS SIZE 10 Number_of_visits'); END; The following example shows how to create a frequency-based histogram: SQL> BEGIN DBMS_STATS.GATHER_table_STATS(OWNNAME => 'HR', TABNAME => 'PERSONS', METHOD_OPT => 'FOR COLUMNS SIZE 20 department_id'); END;

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