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field See field signature 72 method See method signature pattern 70 syntax 68 type See type signature 68 Signature.getDeclaringType() example of 376 Signature.toShortString() logging, example of 408 Simple Rule Markup Language (SRML) business rules, and 393 socket 224 creation of EJB programming restrictions 194 socket connections resource pooling, and 204 softening See exception softening 138 SoftException 138 SoftReference caching example 241 software system as concern composition 7 -source ajc option 440 SourceLocation 105 example of 108 -sourceroots option, ajc 441 -injars and -outjar options, combining 442 -injars option, combining 442 space/time tradeoff 207 special pointcut syntax, capturing no join points example of 380 SQLException 265 standard Java logging kit 146 state transaction management, maintaining 369 stateless aspect instances, and 382 static context 101 static crosscutting 34, 95 classifications of 95

In this chapter, I ve shown you how to extend the capabilities of the MySQL server by adding your own new functions and commands. You learned how to build a UDF library that can be loaded and unloaded at runtime, how to add a native function to the server source code, and how to add a new SHOW command to the parser and query execution code. You also learned how to add schema tables to the information schema.

definition of 34 dynamic crosscutting, comparison with 95 introducing compile-time errors and warning See introducing compiletime errors and warning 97 member introduction See member introduction 95 modifying class hierarchy See modifying class hierarchy 96 per-object association, relation with 125, 134 static fields EJB programming restrictions 191, 194 static methods getTarget() 104 getThis() 104 statically determinable pointcuts compile-time declaration 183 compile-time enforcement 183 staticinitialization pointcut example of 107 store() Jess, storing facts 422 strongly typed languages 183 stylesheet 235 subaspect 57 58 authentication 333 example of 58, 125, 171, 251, 263, 281, 299, 301, 304, 308 309, 315, 319 participant pattern, use of 273 276 transaction management 374 Subject authorization, use of 337 example usage 333 Subject.doAsPrivileged() 348 Swing event-dispatching thread, and 195, 287 policy enforcement 195 need of 313 realized, meaning of 288

Object-relational database systems (ORDBSs) are an application of OO theory to RDBSs. ORDBSs provide a mechanism that permits database designers to implement a structured storage and retrieval mechanism for OO data concepts. ORDBSs provide the basis of the relational model meaning, integrity, relationships, and so forth while extending the model to store and retrieve data in an object-centric manner. Implementation is purely conceptual in many cases as the mapping of OO concepts to relational concepts is tentative at best. The modifications, or extensions, to the relational technologies include modifications to SQL that allow the representation of object types, identity, encapsulation of operations, and inheritance. However, these are often loosely mapped to relational theory as complex types. Although expressive, the SQL extensions do not permit the true object manipulation and level of control of OODBSs. The most popular ORDBS is ESRI s ArcGIS Geodatabase environment. Other examples include Oracle and Informix.

The SumAllDataFields procedure changes the Function property for each data field, setting it to xlSum. Because the ws variable is set to the ActiveSheet instead of a specific worksheet, you can run the code on any worksheet that contains a pivot table.

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The technology used in ORDBSs uses the base relational model Most ORDBSs are implemented using existing commercial relational database management systems (RDBMSs) such as Microsoft SQL Server and Oracle Since these systems are based on the relational model, they suffer from a conversion problem of translating OO concepts to relational mechanisms The following are some of the many problems with using relational databases for object-oriented applications: The OO conceptual model does not map easily to data tables Complex mapping implies complex programs and queries Complex programs imply maintenance problems Complex programs imply reliability problems Complex queries may not be optimized and result in slow performance The mapping of object concepts to complex types2 is more vulnerable to schema changes than relational systems OO performance for select all..where queries is slower because it involves multiple joins and lookups.