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SETTING UP YOUR ENVIRONMENT
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for this is to distinguish PL/SQL variables from columns in a database table. For example, a procedure such as create procedure p( ENAME in varchar2 ) as begin for x in ( select * from emp where ename = ENAME ) loop Dbms_output.put_line( x.empno ); end loop; end; would always print out every row in the EMP table where ENAME is not null. SQL sees ename = ENAME, and compares the ENAME column to itself (of course). We could use ename = P.ENAME; that is, qualify the reference to the PL/SQL variable with the procedure name, but this is too easy to forget, leading to errors. I just always name my variables after the scope. That way, I can easily distinguish parameters from local variables and global variables, in addition to removing any ambiguity with respect to column names and variable names.
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CHAPTER 1
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Developing Successful Oracle Applications
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I spend the bulk of my time working with Oracle database software and, more to the point, with people who use this software. Over the last eighteen years, I ve worked on many projects successful ones as well as complete failures and if I were to encapsulate my experiences into a few broad statements, here s what they would be: An application built around the database dependent on the database will succeed or fail based on how it uses the database. As a corollary to this all applications are built around databases; I can t think of a single useful application that doesn t store data persistently somewhere. Applications come, applications go. The data, however, lives forever. It is not about building applications; it really is about the data underneath these applications. A development team needs at its heart a core of database-savvy coders who are responsible for ensuring the database logic is sound and the system is built to perform from day one. Tuning after the fact tuning after deployment means you did not build it that way.
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These may seem like surprisingly obvious statements, but in my experience, too many people approach the database as if it were a black box something that they don t need to know about. Maybe they have a SQL generator that will save them from the hardship of having to learn SQL. Maybe they figure they ll just use it like a flat file and do keyed reads. Whatever they assume, I can tell you that thinking along these lines is most certainly misguided; you simply can t get away with not understanding the database. This chapter will discuss why you need to know about the database, specifically why you need to understand: The database architecture, how it works, and what it looks like. What concurrency controls are, and what they mean to you. How to tune your application from day one. How some things are implemented in the database, which is not necessarily the same as how you think they should be implemented. What features your database already provides and why it is generally better to use a provided feature than to build your own.
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CHAPTER 1 DEVELOPING SUCCESSFUL ORACLE APPLICATIONS
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Why you might want more than a cursory knowledge of SQL. That the DBA and developer staff are on the same team, not enemy camps trying to outsmart each other at every turn.
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Now this may seem like a long list of things to learn before you start, but consider this analogy for a second: if you were developing a highly scalable, enterprise application on a brand-new operating system (OS), what would be the first thing you d do Hopefully you answered, Find out how this new OS works, how things will run on it, and so on. If that wasn t your answer, you d most likely fail. Consider, for example, Windows vs. Linux. If you are a long-time Windows programmer and were asked to develop a new application on the Linux platform, you d have to relearn a couple of things. Memory management is done differently. Building a server process is considerably different under Windows, you would develop a single process, a single executable with many threads. Under Linux, you wouldn t develop a single standalone executable; you d have many processes working together. It is true that both Windows and Linux are operating systems. They both provide many of the same services to developers file management, memory management, process management, security, and so on. However, they are very different architecturally much of what you learned in the Windows environment won t apply to Linux (and vice versa, to be fair). You have to unlearn to be successful. The same is true of your database environment. What is true of applications running natively on operating systems is true of applications that will run on a database: understanding that database is crucial to your success. If you don t understand what your particular database does or how it does it, your application will fail. If you assume that because your application ran fine on SQL Server, it will necessarily run fine on Oracle, again your application is likely to fail. And, to be fair, the opposite is true a scalable, well-developed Oracle application will not necessarily run on SQL Server without major architectural changes. Just as Windows and Linux are both operating systems but fundamentally different, Oracle and SQL Server (pretty much any database could be noted here) are both databases but fundamentally different.
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