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When describing the need for flexibility in programming, you need look no further than reflection. When a piece of .NET code is successfully compiled, you typically create an assembly that contains the compiled code, data, and metadata. Metadata is information about what is contained in the assembly such as classes, class members, and other types. Reflection provides the capability of a .NET application to read the metadata in an assembly, including itself.

The most basic and common join type is the inner join You use this type of join when you want to relate two sets of data where values in the ON clause columns match in both tables The columns are most often, but not always, key columns representing a primary key and foreign key relationship For instance, consider the following English language request: I need to know the name and SKU for each product purchased by John Doe on December 7, 2004, along with the price and weight of the product at the time he purchased it.

3/16/06

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The capability to read data about itself is what gives the technology the name reflection. Several methods in .NET allow you to determine what assembly is currently running, what assembly called in to the current method, and what assembly was the starting assembly for the current process. This capability provides a great deal of flexibility in runtime decision-making. Code can now make decisions based on how it is being called. For instance, you could make a method behave differently if it was called by one of your own assemblies as opposed to when it was called by a third-party assembly. Reflection also provides a great deal in power through the use of attributes. Attributes are special decorations that you can add to your assemblies, classes, and members, which add metadata to the compiled assembly. You can use these attributes to control the way security is handled in .NET, the way components are handled at designtime, and more. With all this power, reflection still provides a very simple API through the System.Reflection namespace.

Based on our E-R diagram, we know that in order to get all the column data in the request product s name, SKU, price, and weight at the time of the order we ll need to query a number of different tables, if the only thing we can use to filter the data is the order date (CustomerOrderordered_on) and John Doe s name (Customerfirst_name and Customerlast_name) The sets of data we ll need to deal with involve the Customer, CustomerOrder, CustomerOrderItem, and Product tables We want to know where these sets of data intersect, thus we ll need to use inner joins.

define service{ . check_command }

Specifically, we ll need to find the intersection of the following sets of data: Product (to know the name and SKU of the product); alias: p CustomerOrderItem (to relate the order and to get the weight and price); alias: coi CustomerOrder (to relate the customer and filter based on the order date); alias: co Customer (to filter for John Doe); alias: c Although this is a fairly simple example, breaking down English-language1 requests into a list of the sets of data needed or used by the request can be an extremely helpful practice It encourages you to think in terms of the sets of data being operated on, and serves as an exercise in breaking down complex requests into smaller, simpler pieces As you work on more.

Vendor001Transform TransformData()

check_stale!2!'This service is stale'

1. We say English-language request here to indicate that the request is coming from a nontechnical and non-SQL point of view. Clearly, any human language could be substituted.

Vendor002Transform TransformData()

The check_stale command has two arguments, 2 and the text 'This service is stale'. The 2 represents the return code for the status we wish the check_dummy plug-in to return (I discussed these numeric representations of service status in Table 8-3). The text 'This service is stale' represents the output we want from the plug-in. The check_dummy plug-in then returns the status of the service, based on us submitting the value 2, as CRITICAL and as the output of the plug-in as the text 'This service is stale'. As the check result is CRITICAL, the service would change into the CRITICAL status and generally, if configured, a notification would be generated. The service is then in a notification cycle until the problem is acknowledged or a more recent passive check result is received that changes the status of the service to an OK status.

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