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For the foreseeable future, the relational or the object-enhanced relational model (such as Oracle s ORDBMS) will hold sway as efficient, well-developed, and proven products You can also expect more and more object-oriented features to be gradually added to databases There is an ongoing debate over the merits of the relational database system versus the objectoriented database system It is accepted by all parties that relational databases do certain chores extremely well, such as those required by business applications, for which they are currently used Object-oriented databases, though they are more realistic than relational databases, are quite difficult to implement and are many years away from being as mature and sophisticated, operationally speaking, as relational databases Although object-oriented databases have been increasing in popularity over the years, their market share is still miniscule The real question is whether objectoriented databases can supplant relational databases.



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It seems unlikely, in the near future, that object-oriented databases can become as powerful as well-established RDBMSs in performing most business operations It seems more practical for relational databases to be extended to make them more closely model the real world ORDBMSs attempt to bridge the gap between the relational and pure object-oriented systems by incorporating objectoriented features such as encapsulation, inheritance, user-defined data types, and polymorphism into the relational model Business processing involves a lot of data processing, and the new hybrid will continue to support these activities while also serving the more complex data-modeling needs ORDBMSs seem like a smart way to progress into the object-oriented world, because their adoption doesn t involve abandoning the tremendous amount of RDBMS know-how developed over the last 25 years or so All that knowledge can be enhanced to incorporate more of the object-oriented data model.

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In other words, you can get both higher operational efficiency and the benefits of realistic object type modeling by using ORDBMSs Oracle Database 11g is an ORDBMS It evolved over the years from a traditional pure relational system to one with an increasing number of object-oriented features, such as these: User-defined data types: Oracle supports both object types and collections Oracle provides a built-in data type called REF to model relationships between row objects belonging to the same type Methods: Oracle implements methods in PL/SQL or Java Collection types: The collection types include array types known as varrays and table types known as nested tables Large objects: Oracle supports the use of binary large objects (BLOBs and character large objects (CLOBs)..

panel, and select Blur from the pop-up menu. The Blur filter s parameters, as shown in Figure 1-49, appear in the panel. Set the Blur X and Blur Y values to 10, and select High from the Quality drop-down menu. The image blurs, and the three layers above it remain in sharp focus.

The query that retrieves past orders of a given month in the pizza delivery application could be rewritten using prepared statements, as follows: PreparedStatement ps = dbprepareStatement("SELECT pizza, toppings, quantity, order_day " + "FROM orders WHERE userid= AND order_month= "); pssetInt(1, sessiongetCurrentUserId()); pssetInt(2, IntegerparseInt(requestgetParamenter("month"))); ResultSet res = psexecuteQuery(); In the preceding code, the question marks in the SELECT statement serve as placeholders for data that will be substituted in place of them The actual data is supplied using the setInt() method, which takes as arguments the index of the corresponding placeholder and the actual value of the corresponding parameter The last line then executes the statement with the supplied actual parameters With respect to preventing SQL injection, the key characteristic of prepared statements is that at the time the query is parsed and compiled, the actual parameters are not involved at all.

The newest frontier in data models is the emphasis on semi-structured data models. Semi-structured data models are much more flexible than traditional relational and object-relational models. This inherent flexibility ensures a more realistic representation of the complex real-world phenomena that DBAs deal with every day. Semi-structured data modeling looks at schemas from a different

What s with the keyframe We are eventually going to require the background to return to sharp focus. Adding the keyframe gives us the flexibility to have the image slowly come into focus through the use of a motion tween.

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