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The following sections contain the arguments put forward in favor of avoiding PL/SQL, along with my counter arguments:
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CHAPTER 2 ORACLE FUNDAMENTALS
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Using PL/SQL Locks My Application into Using Oracle An equivalent argument is the one that promotes the idea of writing database-independent code. The idea of writing database-independent code by avoiding the use of database features, such as the use of PL/SQL, is foolhardy in my opinion because In the majority of cases, your code really does not need to be run against different databases. In such cases, this requirement is bogus. If you try to write code that is supposed to work on more than one database by avoiding database features, you would be rewriting, debugging, and maintaining code for features that are already available in the database, which can lead to skyrocketing costs in terms of developer time. In order for your code to perform and scale well, you have to understand and exploit features exposed in the database anyway, as you have already witnessed to a large extent in this chapter. In many cases, you will still end up using database-specific features unknowingly (such as the connect by feature in SQL written against Oracle). When porting code from one database to another (assuming it comes to that), you will end up rewriting most of the code anyway, because a solution that works well in the original database may well work poorly (or even incorrectly) in the second database to which your application is being ported. Using PL/SQL Doesn t Give Me Anything That I Couldn t Get from Java This is not true for the following reasons (among others): PL/SQL code can create a layer of code above which the code can truly be databaseindependent (in the rare case when database independence is a genuine requirement). The code within PL/SQL is free to exploit all features of Oracle. If you want to move to a different database, you need to typically just replace the implementation of the stored procedure layer with an implementation of the layer in the stored procedure language of the new database. The PL/SQL code can be invoked by any language that can talk to Oracle (e.g., C, C++, Perl, etc.). Thus, your central logic that deals with data is not locked into a particular layer of code written in one language or technology stack (such as Java/J2EE), which is inaccessible from other languages. Writing code in PL/SQL allows you to write code that exploits many of the PL/SQL features, such as Benefits of static SQL caching (as discussed in the section PL/SQL Cursor Cache of 13) Code compactness and robustness Bulk bind, bulk collect, etc. (as explained in the section "Using Bulk Operations to Boost Performance" of 17) Ability to write more secure code (since you only need to grant the execute privilege on the PL/SQL procedures instead of having to grant direct select, insert, and update privileges on the underlying schema to the database user) It is much easier to tune SQL written in PL/SQL code.
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CHAPTER 2 ORACLE FUNDAMENTALS
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Note We ll look at many more reasons to use PL/SQL extensively when writing an Oracle application
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in later chapters (especially s 6 and 17). Also, 1 of Mastering Oracle PL/SQL by Connor McDonald (Apress, ISBN: 1-59059-217-4) provides useful discussion on this topic.
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Once you ve decided to exploit PL/SQL in your applications, it makes sense that, as with SQL, you should understand it in enough depth to write it efficiently. The next section presents an example that shows how having good knowledge of PL/SQL can improve the performance of your code considerably. Example: Row-by-Row Processing vs. Bulk Binding The example in this section makes use of the bulk binding feature of PL/SQL to improve performance of code that needs to copy data from one table to another while dealing appropriately with any bad records in the source table. Very briefly, bulk binding allows you to improve performance of inserts, updates, and deletes in a loop. With bulk binding, you insert, delete, or update tables using values from an initialized collection (such as a varray, a nested table, or associative arrays). Say we want to copy data from the table source_table to another table, destination_table, in our JDBC program. source_table may contain some bad records, which would result in errors when we insert them into destination_table. Let s first create and populate source_table with some data to simulate this scenario. We create a table with just the column x, which contains numbers. We assume that a zero or negative number in the table represents a bad record. In the following SQL, we create source_table with numbers ranging from 10 to 1 (representing ten bad records), and from 1 to 100,000 (representing 100,000 good records): benchmark@ORA10G> create table source_table 2 as select rownum x 3 from all_objects, all_users 4 where rownum <= 100000 5 --10 bad records - a negative number 6 union all 7 select rownum * -1 8 from all_objects 9 where rownum <= 10; Table created. Next, we create the destination_table table, to which the data will be copied. Note that the table has constraint checks, so that it accepts only non-negative numbers greater than 0: benchmark@ORA10G> create table destination_table ( x number constraint check_nonnegative check( x > 0 ) ); Table created.
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