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Assemblies are the basic units of deployment; they contain a collection of types and resources. They can be considered as the building blocks of any .NET application. They are reusable, versionable, self-describing, and stored as an EXE or a DLL file. Assemblies also contain the infrastructure information that the CLR requires to understand the contents of the assembly and to enforce dependency and security rules defined by the application.

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While UML is a great tool for modeling complex software designs, it can often be a little overkill, especially for small systems or inexperienced teams. Another approach, entity-relationship (E-R) modeling, can complement a team s existing UML models by serving as a streamlined model to help business users understand the system, or it can be a complete model for the system. An entity is best described as a single unit of something a noun or object. Similar to the classes from a UML model, entities in E-R diagramming represent the objects in your database system. They are the logical groupings of like data. E-R modeling is simply a way to graphically express the relationships between the entities of our database system. The first step in E-R modeling is to list the entities that compose the system. Similar to what you do in the requirements gathering (use case) stage of the design, write down all the entities for which you store information in the database. For each entity, write down a brief

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The contents of an assembly can be broadly classified into: The assembly manifest Type metadata (to store information about the members) Microsoft Intermediate Language (MSIL) A set of resources These contents can be grouped into a single file as shown in Figure 8-1.

So what if you need to send results both as a distributed server and to a redundant or failover server Tip Well, there is nothing to stop you from configuring host and service obsession to run a shell script that sends the check results to two servers instead of just one.

Now, why does the resultset contain only a single row if the outer join is supposed to include all the rows in the OrderStatus table The reason stems from the fact that conditions present in the WHERE clause of a SQL statement filter the resultset produced by the outer join In this case, the resultset produced by the outer join can be viewed as all the CustomerOrder rows, along with a status description matching the status key and NULLed out rows for any statuses with no matching orders When the WHERE condition is executed (after the rows from OrderStatus are LEFT JOINed with the CustomerOrder table), MySQL filters out all rows in the resulting set that do not have an ordered_on date of December 7, 2004.

This attribute defines a version number for an assembly. This enables applications to bind to a specific version of an assembly. By default, VS .NET generates the version number 1.0.* for each assembly. The * is a wildcard character, which allows the compiler to choose an appropriate build number and revision for the assembly. This attribute indicates to the compiler that the method should only be compiled if a particular preprocessor identifier has been defined. Methods that are not annotated with this attribute are always compiled unconditionally.

Since the WHERE filter was executed after the two tables were joined, any rows without an ordered_on date equal to '2004-12-07' were removed from the returned resultset This eliminated any of the NULLed out rows for statuses having no matching orders, since NULL '2004-12-07' So, the question remains, how do we fulfill a request like this: Show all order statuses, and the number of orders in each status, for orders placed on December 7, 2004 The SQL in Listing 7-12 indeed filters the date properly, but, unfortunately, it also filters out all the nonmatching order statuses from the outer join To remedy the situation, we must use the ON clause to limit the compared data set of the right side of the outer join before the outer join occurs Listing 7-14 shows the correct SQL to fulfill the request Listing 7-14.

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