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facilitate this, the pointcut also collects the context at the join point, rd, that identifies the resource that is to be created. The pointcut resourceDestruction() captures all join points that discard the resource. Typically, it captures methods like close() on resources. Since the resources that need pooling tend to be expensive, it is common to have an explicit method to release the resource rather than rely on a garbage collector to do it. This join point also collects the context at the join point, r, that identifies the resource that is to be released so that the pool can acquire it. The around advice to the resourceCreation() pointcut first attempts to obtain a resource matching the given description from the pool. If a matching resource cannot be obtained from the pool, the proceed() statement causes the normal creation logic to be executed. It finally returns the resource object. The around advice to the resourceDestruction() pointcut first attempts to put the resource back in the pool. If the pool does not accept it for some reason (for example, adding the resource would exceed the pool s capacity), the proceed() statement causes the normal destruction logic to be executed. This template implementation for resource pooling should enable you to understand the core issues associated with generic resource pooling. This will help you understand the concrete implementations for database and thread pooling as we focus more on the resource-specific issues in the next sections. code 128 checksum c# Code 128 Barcode Generator for Microsoft Visual C# .NET
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KeepEdge Code 128 C# .NET Barcode Generator includes Code 128 generators for .NET Winforms and web forms. Console applications, .NET Class, Windows ... The need for database connection pooling is so common that JDBC 2.0 provides a standard way to do it. With the JDBC-based solution, you simply create and dispose of database connections in the normal way and the driver will, behind the scenes, take care of connection pooling. The solution, for the most part, works fine. However, you are dependent on the database driver for the implementation of resource pooling. If you determine that the pooling feature of the driver you are using is not acceptable, you have to replace the whole driver with another one. Such a complete change may not be satisfactory; for instance, the original driver may provide better performance than the new one. The problem lies in the coupling between the database connectivity and the resource pooling concern. With an AspectJ-based solution, we can separate these two concerns so that they will be able to evolve independently. In this section, we look at a concrete example of database connection pooling. We base our solution in JDBC1.0 (it works fine with higher versions as well). Finally, the parsing begins. This is the heart of what goes on inside the server when it processes a query. The parser code is located in a couple of places (like so much of the rest of the system). It isn t that hard to follow if you realize that while being highly organized, the code is not structured to match the architecture. The function you re examining now is the mysql_parse() function (located in /sql/ sql_parse.cc). Its job is to check the query cache for the results of a previously executed query that has the same result set, then pass control to the lexical parser, and finally route the command to the query optimizer. Listing 3-7 shows a condensed view of the mysql_parse() function. 7.3.1 Understanding the database connection pool interface Before we get into the AOP solution for database connection pooling, let s understand the problem and its traditional solution. In this section, we briefly examine a database connection pool interface and its usage. First, let s look at the DBConnectionPool interface, in listing 7.3. Later, in listing 7.6, we will look at a simple implementation of this interface. that you won t exceed Excel s row limit before trying the following technique. If your normalized data will exceed Excel s row limit, you could process the columns in two or more sessions, and store the data in an external database. import java.sql.*; public interface DBConnectionPool { public Connection getConnection(String url, String userName, String password) throws SQLException; public boolean putConnection(Connection connection); public void registerConnection(Connection connection, String url, String userName, String password); } c# code 128 auto How to Generate Code 128 Using C# .NET Barcode Generator
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