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Figure 2-10. Table per concrete class (accounts) Table per Class As you have probably already guessed, the table per class approach is similar to the table per concrete class approach, with the addition of tables representing the base class. This is the most typical approach to building an inheritance structure into your application. As evidenced in Figure 2-11, the table per class approach has expanded again in our model. However, this time you are adding more tables and foreign-key relationships to represent the class hierarchy in your domain model.

In Example 6-20, in the host_perfdata_file_template, you can see a series of macros that are separated by tab characters, using \t, that will be written to the host performance data file Also note the $HOSTOUTPUT$ and $HOSTPERFDATA$ macros containing the output of the plug-in and the performance data, if any, generated by the host check This will result in output that resembles the following line: [HOSTPERFDATA] RTA = 025 ms 1129561681 puppy 0013 PING OK - Packet loss = 0%,.

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(Obviously, there are a lot of problems with the code in the NewHire class, such as no parameter or error checking, but here we are just focusing on the topic of encapsulation) As a programmer, you should be starting to realize this approach has some negative design features For example, suppose your client has requested that the employee name be stored in the database with initial capital letters, such as John Smith However, in the application, the values need to be processed in uppercase You could rewrite the entire application to add the usage of StringtoUpperCase() anywhere the EmployeeFirstName and EmployeeLastName fields are output or processed throughout the entire code base You could also encapsulate the fields Encapsulation involves controlling access to a class member variable using getter and setter methods.

The service_perfdata_file_template directive only contains two macros and simply outputs the plug-in output and the performance data, if any, for the plug-in. Next there are two additional directives that relate how the performance data is written to files. These are the host_perfdata_file_mode and the service_perfdata_file_mode directives. They have two options: w for write mode and a for append mode. For normal files you would generally use the append, or a, option to append the performance data entries to the file. For a named pipe the write, or w, option might be more appropriate. Examples of these directives are host_perfdata_file_mode=a service_perfdata_file_mode=a

Figure 2-11. Table per class This approach is quite powerful because it provides polymorphism, since the abstract class has a relationship in the database schema. Additionally, unlike the table per concrete class approach, there is little or no issue with adding additional fields to the database or object model because of the separation and abstraction in your code.

The class member variable is set to private, so that no code outside the class can interact with it The getter and setter methods are usually given a public accessor, so that any code can retrieve or set the value of the member variable In the following code, the Employee class has been modified to use getters and setters for the FirstName and LastName member variables public class Employee { private String FirstName; private String LastName; public void setFirstName(String FirstName) { thisFirstName = FirstName; }.

Finally, four other directives are related to this second method of performance data processing. These directives are optional and allow the regular processing of the performance data files using commands defined in Nagios. This is an easy way to execute actions to process the performance data in your files. You could also schedule actions with cron or another scheduling tool. The first two directives specify how often the files can be processed, and the second two directives specify the names of the commands used to do the processing. I ve specified these four directives in Example 6-21. Example 6-21. Performance Data File Processing Directives host_perfdata_file_processing_interval=60 service_perfdata_file_processing_interval=0 host_perfdata_file_processing_command=process-host-perfdata-file service_perfdata_file_processing_command=process-service-perfdata-file The first two directives, host_perfdata_file_processing_interval and service_perfdata_file_processing_interval, control how often, in seconds, that the performance data files will be processed. In Example 6-21 I m processing the host performance data file every 60 seconds. The setting of service performance data file processing interval to 0 disables regular processing of this file. The second set of directives, host_perfdata_file_processing_command and service_ perfdata_file_processing_command, specify the names of the command object definitions used to process the performance data files. Hence in Example 6-21 every 60 seconds Nagios will run the process-host-perfdata-file command. You need to define these commands as object definitions in your Nagios configuration.

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