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The people who require an object view of relational data can have it, and the people who need the relational view can have it Since object tables are really relational tables in disguise, we are doing the same thing Oracle does for us behind the scenes, only we can do it more efficiently, since we don t have to do it generically as they do For example, using the types defined earlier, I could just as easily use the following: ops$tkyte@ORA11GR2> 2 ( name 3 dob 4 home_city 5 home_street 6 home_state 7 home_zip 8 work_city 9 work_street 10 work_state 11 work_zip 12 ) 13 / Table created create table people_tab varchar2(30) primary key, date, varchar2(30), varchar2(30), varchar2(2), number, varchar2(30), varchar2(30), varchar2(2), number.

If not, the server process reads the necessary table data from the datafiles on disk 7 Oracle immediately applies row-level locks, where needed, to prevent other processes from trying to change the same data simultaneously 8 The server writes the change vectors to the redo log buffer 9 The server modifies the table data (inserts the new row) in the data buffer cache 10 The user commits the transaction, making the insertion permanent Oracle releases the row locks after the commit is issued 11 The log writer process immediately writes out the changed data in the redo log buffers to the online redo log file 12 The server process sends a message to the client process to indicate the successful completion of the INSERT operation The message would be COMMIT COMPLETE in this case.

19.22 561 19,118/9 4.13 6,655/73

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ops$tkyte@ORA11GR2> create view people of person_type 2 with object identifier (name) 3 as 4 select name, dob, 5 address_type(home_city,home_street,home_state,home_zip) home_adress, 6 address_type(work_city,work_street,work_state,work_zip) work_adress 7 from people_tab 8 / View created. ops$tkyte@ORA11GR2> insert into people values ( 'Tom', '15-mar-1965', 2 address_type( 'Reston', '123 Main Street', 'Va', '45678' ), 3 address_type( 'Redwood', '1 Oracle Way', 'Ca', '23456' ) ); 1 row created.

(If it couldn t complete the request successfully, it sends a message indicating the failure of the operation) 13 Changes made to the table by the insertion may not be written to disk right away The database writer process writes the changes in batches, so it may be some time before the inserted information is actually written permanently to the database files on disk..

Note In the previous example, since a new row is being inserted, there s no undo information to record in the undo tablespace. (The ROWID of the new row goes to the undo segment, so you can use a DELETE...WHERE ROWID=... statement to roll back the insert if necessary. If the user had updated a row instead, Oracle would have had to record the before-update row in the undo records. Until the original transaction commits the update, all other users will see the original data values of the row.

However, I achieve very much the same effect, I know exactly what is stored, how it is stored, and where it is stored. For more complex objects, we may have to code INSTEAD OF triggers on the object views to allow for modifications through the view.

18.15 588 157,967/56 4.38 5,391/82

You must be clear about two fundamental transaction-related terms: committing and rolling back transactions. I briefly explain these terms here. 8 contains additional discussion of these two key concepts.

When you commit a transaction, say by issuing the COMMIT statement, Oracle makes all the changes performed by all the SQL statements in that transaction a permanent part of the database. Before Oracle commits the results of a transaction, it does the following:

Object tables are used to implement an object relational model in Oracle. A single object table will create many physical database objects typically, and add additional columns to your schema to manage everything. There is some amount of magic associated with object tables. Object views allow you to take advantage of the syntax and semantics of objects, while at the same time retaining complete control over the physical storage of the data and allowing for relational access to the underlying data. In that fashion, you can achieve the best of both the relational and object-relational worlds.

We see more of the same. PL/SQL, running full steam ahead with few log file sync waits, was very much impacted by the buffer busy waits. With a conventional index and all five users attempting to insert into the right-hand side of the index structure, PL/SQL suffered the most from the buffer busy waits and, therefore, benefited the most when they were reduced. Now, taking a look at the ten-user test in Table 11-4, we can see the trend continues.

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