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Explained. SQL> example_plan1 ----------------------------SELECT STATEMENT TABLE ACCESS FULL EMPLOYEES SQL> The next example is a query similar to the preceding one, but without the upper function on last_name. This time, Oracle uses the index on the last_name column: SQL> EXPLAIN PLAN SET statement_id = 'example_plan1' 2 FOR 3 SELECT last_name FROM hr.employees 4*WHERE last_name='FAY'; Explained. SQL> example_plan1 -----------------------------SELECT STATEMENT INDEX RANGE SCAN EMP_NAME_IX SQL> In the third example, two tables (customers and orders) are joined to retrieve the query results: SQL> EXPLAIN PLAN SET statement_id 'newplan1' 2 FOR 3 SELECT o.order_id, 4 o.order_total, 5 c.account_mgr_id 6 FROM customers c, 7 orders o 8 WHERE o.customer_id=c.customer_id 9 AND o.order_date > '01-JUL-05' Explained. SQL> Listing 19-4 shows the EXPLAIN PLAN from the plan table. Listing 19-4. Another EXPLAIN PLAN Output SQL> 2 3 4 5 6 7* Enter old SELECT lpad(' ',level-1)||operation||' '||options||' '|| object_name "newplan" FROM plan_table CONNECT BY prior id = parent_id AND prior statement_id = statement_id START WITH id = 0 AND statement_id = '&1' ORDER BY id; value for 1: newplan1 6: START WITH id = 0 AND statement_id = '&1'

We invoke the procedure to add an e-mail address to the department number 10: benchmark@ORA10G> exec add_email_address( 10, 'new_contact@mycompany.com') PL/SQL procedure successfully completed. We run a query to verify that the update went through successfully: benchmark@ORA10G> select a.column_value 2 from dep_email_addresses c, TABLE(c.email_addresses) a 3 where dep_no=10; king@mycompany.com joe@mycompany.com john@mycompany.com new_contact@mycompany.com Next, we ll take a quick peek at how Oracle internally stores a varray column.

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new 6: START WITH id = 0 AND statement_id = 'newplan1' newplan SELECT STATEMENT HASH JOIN /* step 4 */ TABLE ACCESS FULL CUSTOMERS /* step 2 */ TABLE ACCESS BY INDEX ROWID ORDERS /* step 3 */ INDEX RANGE SCAN ORD_ORDER_DATE_IX /* step 1 */ Elapsed: 00:00:0001 SQL> In step 1, the query first does an index range scan of the orders table using the ORD_ORDER_ DATE_IX index Why an index range scan Because this index isn t unique it has multiple rows with the same data value the optimizer has to scan these multiple rows to get the data it s interested in For example, if the indexed column is a primary key, it will be unique by definition, and you ll see the notation Unique Scan in the EXPLAIN PLAN statement.

In step 2, the customers table is accessed through a full table scan, because account_ manager_id in that table, which is part of the WHERE clause, isn t indexed In step 3, the query accesses the orders table by INDEX ROWID, using the ROWID it derived in the previous step This step gets you the order_id, customer_id, and order_total columns from the orders table for the date specified In step 4, the rows from the orders table are joined with the rows from the customers table based on the join condition WHERE ocustomer_id=ccustomer_id As you can see from the preceding examples, the EXPLAIN PLAN facility provides you with a clear idea as to the access methods used by the optimizer Of course, you can do this without having to run the query itself.

Oracle decides how to store the varray based on the maximum possible size of the varray computed using the limit of the declared array. According to the official Oracle documentation, if the size exceeds approximately 4,000 bytes, Oracle stores the varray as a LOB; otherwise, Oracle stores it as a raw value. However, it turns out that a raw data type can store only a maximum of 2,000 bytes. Thus it is highly likely that Oracle actually stores the varray as a varchar2 (not as a raw) when the size is less than 4,000 bytes. Now that we have discussed varrays in tables and their associated disadvantages in terms of increased code complexity and potential performance issues, let s move on to look at how we can use nested tables to store data.

Often, the EXPLAIN PLAN will provide you with a quick answer as to why your SQL may be performing poorly The plan s output can help you determine how selective your indexes are and let you experiment with quick changes in code..

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