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If I were to write a book about how to build non-scalable Oracle applications, Don t Use Bind Variables would be the first and last chapter. Not using bind variables is a major cause of performance issues and a major inhibitor of scalability not to mention a security risk of huge proportions. The way the Oracle shared pool (a very important shared-memory data structure) operates is predicated on developers using bind variables in most cases. If you want to make Oracle run slowly, even grind to a total halt, just refuse to use them. A bind variable is a placeholder in a query. For example, to retrieve the record for employee 123, I can query: select * from emp where empno = 123; Alternatively, I can query: select * from emp where empno = :empno; In a typical system, you would query up employee 123 maybe once and then never again. Later, you would query up employee 456, then 789, and so on. Or, foregoing SELECT statements, if you do not use bind variables in your insert statements, your primary key values will be hard-coded in them, and I know

6 WHERE owner ='APPOWNER' 7* AND object_name LIKE 'YTD%'; OBJECT_NAME ----------------YTD_ADJ2005050603 SQL> OBJECT_TYPE ---------TABLE CREATED ---------01/23/2008 LAST_DDL_TIME ------------01/23/2008

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One of the side effects of Oracle s non-blocking approach is that if you actually want to ensure that no more than one user has access to a row at once, then you, the developer, need to do a little work yourself. Consider the following example. A developer was demonstrating to me a resourcescheduling program (for conference rooms, projectors, etc.) that he had just developed and was in the process of deploying. The application implemented a business rule to prevent the allocation of a resource to more than one person, for any given period of time. That is, the application contained code that specifically checked that no other user had previously allocated the time slot (as least, the developer thought it did). This code queried the SCHEDULES table and, if no rows existed that overlapped that time slot, inserted the new row. So, the developer was basically concerned with two tables: create table resources ( resource_name varchar2(25) primary key, ... ); create table schedules ( resource_name references resources, start_time date not null, end_time date not null, check (start_time < end_time ), primary key(resource_name,start_time) ); And, before making, say, a room reservation, the application would query: select from where and AND count(*) schedules resource_name = :room_name (start_time <= :new_end_time) (end_time >= :new_start_time)

The DBA_TABLES view contains information about all relational tables in your database. The DBA_TABLES view is your main reference for finding out storage information, the number of rows in the table, logging status, buffer pool information, and a host of other things. Here s a simple query on the DBA_TABLES view: SQL> SELECT tablespace_name,table_name FROM DBA_TABLES; TABLESPACE_NAME --------------EXAMPLE EXAMPLE EXAMPLE EXAMPLE EXAMPLE EXAMPLE 6 rows selected. SQL> TABLE_NAME ---------------DEPARTMENTS EMPLOYEES_INTERI EMPLOYEES_NEW JOBS JOB_HISTORY TEST

As a developer, it s often important to be able to measure how much redo your operations generate. The more redo you generate, the longer your operations may take, and the slower the entire system might be. You are not just affecting your session, but every session. Redo management is a point of serialization within the database. There is just one LGWR in any Oracle instance, and eventually all transactions end up at LGWR, asking it to manage their redo and COMMIT their transaction. The more it has to do, the slower the system will be. By seeing how much redo an operation tends to generate, and testing more than one approach to a problem, you can find the best way to do things.

The DBA_ALL_TABLES view contains information about all object tables and relational tables in a database, while the DBA_TABLES view is limited to only relational tables.

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