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If you learn to think in polymorphic terms, and then employ polymorphism, once you know what a polymorphic command does on one object, you ll already have a good idea of what it does on the next. And that s quite similar to how we think about the real world. If you tell me you ride a bike, I might respond that I ride a horse. We both know what the other means, even if we ve never done the other activity, simply because we apply the word ride polymorphically to the context in your case, a bicycle; in my case, a horse. In the sections that follow, I m going to tell you how I ve used some (it would take another book to explain them all) of these commands in a particular setting. Let s start with table packages and TYPEs.

>>> storage = {} >>> init(storage) >>> storage {'middle': {}, 'last': {}, 'first': {}} As you can see, the function has taken care of the initialization, making the code much more readable.

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I could call this story The Man Who Hated SQL. The programmer in question was unhappy because he had to break the rhythm of his coding from a procedure language (PL/SQL) to a nonprocedural language (SQL) and back again back and forth, back and forth, PL/SQL and SQL, PL/SQL and SQL. While our unhappy programmer was complaining about the nonprocedural nature of SQL and how bad SQL is, he should have been more concerned about reducing the number of different SQL statements used against the database, because reducing the number of SQL statements used against an Oracle database can improve the database s overall performance. I find it surprising, and at the same time somewhat amusing, how many people hate SQL. You would think its creation was the work of the devil. In contrast, in my opinion, SQL is very effective. You can accomplish a lot of data processing work with very little actual programming effort using SQL. OK, I agree, some things don t work consistently from one implementation to the next, but all in all, no viable alternative has taken its place yet, nor does it appear one will anytime soon. It s really amazing how easy data processing is with SQL. Regardless, one goal during the development of an application should be to write a particular SQL statement once and only

Paths representing all the JAR files under the lib directory (class.path) and all class files under the classes directory are created.

016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 ... 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097

Note The keys of a dictionary don t have a specific order, so when a dictionary is printed out, the order

varchar2(1) := 'N'; varchar2(1) := 'Y'; varchar2(30) :=

Best Practice A common practice in Ant buildfiles is to have an init task that all other tasks depend on. I advocate not using the init task for setting up properties, loading properties files, paths, patternsets, or taskdefs. Instead, just place them before the first target, and they will be added to the implicit target. As mentioned earlier, the contents of the implicit target always get called and you don t have to remember making all other targets dependent on an init target.

v_TEST_30 constant 'TEST TEST TEST TEST TEST TESTx'; v_TEST_30_1 constant 'TEST1 TEST1 TEST1 TEST1 TEST1x'; v_TEST_30_2 constant 'TEST2 TEST2 TEST2 TEST2 TEST2x';

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