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In 2, you learned that the following are true for the Oracle database: Reads (selects) don t block writes (inserts, updates, deletes, etc.). For example, a user can be updating a row at the same time as another user is querying the same exact row. The session performing the query would see only the rows that existed at the start of the query. Writes don t block reads. Writes don t block writes unless the contending writes are writing a common set of rows. For example, if two sessions are updating the same table, but update a mutually exclusive set of rows, they don t block each other. Only when they try to update the same row(s) does one of the sessions get blocked until the other session issues a commit or a rollback to end its transaction.

Now consider the following situation, which can occur in any relational database: 1 User1 queries a row 2 User2 queries the same row in a different session 3 User1 updates the row and commits 4 User2 updates the row to a different value and commits Unknown to user1, user2 in step 4 overwrote user1 s data This phenomenon is called a lost update, since all changes made by user1 in step 3 were lost because user2 overwrote those changes in step 4 Let s look at an example Imagine it has been a good sales year for our company, and all salespeople are getting a salary hike Adam, who is a clerk, is updating the database to reflect this change One salesperson in particular, Martin, has done well in clinching a mega deal for the company.

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When your application executes calls to the server, the HTML defined in the <ProgressTemplate> tag is then displayed. This is where you could have an animating GIF or some other custom message to inform the user about the status of the execution.

Martin s boss, Blake, is very happy and decides to give him an additional bonus of $100 The following is how these two transactions occur, presented in the order of time (many of the following examples use hard-coded values; remember to use bind variables in a real-world application) Blake queries the database to look at Martin s current salary information: blake@ORA10G> select ename, sal from emp where ename='MARTIN'; ENAME SAL ---------- ---------MARTIN 1250 Blake gets an urgent phone call and leaves his desk to answer it Meanwhile, Adam has queried records for all employees who are salespeople and is currently looking at Martin s salary details He updates Martin s record to give Martin a 10% salary hike: adam@ORA10G> select ename, sal from emp where ename='MARTIN'; ENAME SAL ---------- ---------MARTIN 1250 adam@ORA10G> update emp set sal = sal * 110 where ename='MARTIN'; 1 row updated.

Being a careful employee, Adam even queries the record back to verify his changes: adam@ORA10G> select ename, sal from emp where ename='MARTIN'; ENAME SAL ---------- ---------MARTIN 1375.

Before showing an example using the UpdateProgress control, view its properties in Table 5-6.

Satisfied that all is well, Adam commits his changes: adam@ORA10G> commit; Blake s phone call is over and he returns to his desk His screen still shows Martin s old salary information Unaware of Adam s changes, Blake proceeds to give Martin a bonus of $100 based on his (now old) salary of $1,250, wiping out the changes made by Adam earlier: blake@ORA10G> update emp set sal = 1350 where ename='MARTIN'; 1 row updated blake@ORA10G> commit; Commit complete The final row for Martin s record looks as follows: martin@ORA10G> select * from emp where ename='MARTIN'; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ---------- ---------- --------- ---------- --------- ---------- ------- --------7654 MARTIN SALESMAN 7698 28-SEP-81 1350 1400 30 As you can see, the update done by Adam has been overwritten by Blake s changes and is the lost update Martin expected to see a total salary of $1,475 (1,250 1.

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