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The series of relationships defining the vSalesPerson view and the actual values in the SalesPerson table enables a SELECT statement to obtain the CountryRegionName column values for all remaining rows. Although the SalesPerson table permits null values for its SalesTerritoryID column, all the rows in the SalesPerson table from the AdventureWorks sample database have non-null values for SalesTerritoryID, with matching values in the SalesTerritory table. Similarly, all the SalesTerritoryID values in the SalesTerritory table have matching CountryRegionCode values in the CountryRegion table. Therefore, all the CountryRegionName column values in the vSalesPerson view are non-null. This series of relationships permits a slight modification to the preceding SELECT statement that returns the CountryRegionName value for all remaining rows in the vSalesPerson view. The modification is to insert the NOT keyword before the IN operator. The following listing shows both the modified code and its result set. Notice that none of the rows in the result set have a CountryRegionName column value equal to the United States or Canada. As you can see, the result set contains 4 rows, which when added to the 13 rows of the preceding SELECT statement, recovers rows for all 17 sales persons in the AdventureWorks database. SELECT SalesPersonID, CountryRegionName FROM Sales.vSalesPerson WHERE CountryRegionName NOT IN ('United States', 'Canada')

The GROUP BY clause also allows you to nest groups within one another. Of course, to construct a result set having nested groups with a GROUP BY clause, the data source for the SELECT statement must itself have nested groups. In addition, columns representing groups that contain other groups must appear in the GROUP BY clause before the groups that they contain. The vSalesPerson view has two geographically based column values that nest within one another. The TerritoryName column values nest within the TerritoryGroup column values. For example, the North America TerritoryGroup includes six TerritoryName values: Central, Northeast, Northwest, Southeast, Southwest, and Canada. The following SELECT statement shows how to define the nesting in a GROUP BY clause between the TerritoryGroup and TerritoryName column values. Notice TerritoryGroup, whose column values contain TerritoryName column values, occurs first. The SELECT statement counts the number of rows returned by the vSalesPerson view for each TerritoryName value. Using a SELECT list item of COUNT(*) returns the number of rows in each group. Aggregations, such as the counts in the following SELECT statement, always occur at the lowest nesting level.

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So, if we did that and deleted a user, Active Record would automatically update the events and break all the foreign key references. If we didn t do this, we might have events.user_id = 1037 when there is no User with an id of 1037. For our application, we want to keep it as :destroy.

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SELECT TerritoryGroup, TerritoryName, COUNT(*) 'Sales persons' FROM Sales.VSalesPerson GROUP BY TerritoryGroup, TerritoryName Probably the most common reason to use a GROUP BY clause is to perform some kind of aggregation. The following result set shows the number of sales persons in each TerritoryName group. You can also see to which TerritoryGroup a TerritoryName belongs. TerritoryGroup -------------NULL Pacific North America North America Europe Europe North America North America North America North America Europe TerritoryName -------------NULL Australia Canada Central France Germany Northeast Northwest Southeast Southwest United Kingdom Sales persons ------------3 1 2 1 1 1 1 3 1 2 1

Often, the relationship between two models is many-to-many. This describes a pattern where two tables are connected to multiple rows on both sides. We ll use this in our events application to add categories to events. If we wanted to allow only one category to be selected for a given event, we could use has_many. But we want to be able to apply multiple categories. Think about this for a minute: an event can have many categories, and a category can have many events where would the belongs_to go in this situation Neither model belongs to the other in the traditional sense. In Active Record-speak, we refer to this kind of association as has_and_belongs_to_many (often referred to as habtm for short). The has_and_belongs_to_many association works by relying on a join table that keeps a reference to the foreign keys involved in the relationship. The join table sits between the tables we want to join: categories and events. Not surprisingly, then, the join table in this

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