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Comparing the contents of this view to the Product table alone (I say contents loosely, as a view doesn t store data unless it is an indexed view; it is simply a stored subquery), there are two obvious differences. First, we see that we have an extra column. We could have made our view contain as many of the columns from the second table as we like, but for now I m using only one. This is the first of the four uses. It seems a little trivial, but nevertheless, we have use #1: additional columns. Secondly, we have fewer rows in the view than in the Product table. A little investigation shows that the ProductSubcategoryID column in Production.Product allows NULL values, with no matching row in the Production.ProductSubcategory table. As we re using an INNER JOIN, these rows without matches are eliminated from our results. This could have been our intention, and therefore we have use #2: eliminated rows. We can counteract this side effect quite easily. To avoid rows from Production. Product being eliminated, we need to convert our INNER JOIN to an OUTER JOIN. I have made this change and encapsulated it in a second view in listing 9, named dbo.ProductsPlus2 to avoid confusion.

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Although indicators are just tools and not a silver bullet, some people misuse them Perhaps the most common problem is using indicators to reinforce your current beliefs about the market If you want, you can make an indicator confess to anything, as Bernard Baumohl put it Let the indicator tell you where to go, rather than vice versa Another common mistake is using too many indicators at one time This is a condition known as Indicatoritis, as blog commenter Treeshaker jokingly called it He went on to write, You might have a case of Indicatoritis, which is a severe inflammation of your chart indicator glands This invariably leads to analysis paralysis, the complete and utter inability to pull the trigger and trade at all To really become proficient with indicators, as the experts point out, you need to practice, practice, practice Play around with the

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Listing 9 View to return all products and their subcategories (if they exist)

The window s left border appears 1 pixel from the left edge of the screen The window s top border appears just below the bottom edge of the Mac OS X menu bar (allowing 22 pixels for the menu bar and 22 pixels for the Finder window s title bar) The window s right border appears 800 pixels across the screen from the left edge The window s bottom border appears 605 pixels down the screen from the top edge

CREATE VIEW dbo.ProductsPlus2 AS SELECT p.*, s.Name AS SubcatName FROM Production.Product p LEFT JOIN Production.ProductSubcategory s ON p.ProductSubcategoryID = s.ProductSubcategoryID;

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Now when we query our view, we see that it gives us the same number of rows as in the Production.Product table. JOINs have two other uses that we don t see in our view. As this is a foreign-key relationship, the column in Production.ProductSubcategory is the primary key, and therefore unique. There must be at most one matching row for each row in Production.Product thereby not duplicating any of the rows from Production.Product. If Production.ProductSubcategory.ProductSubcategoryID weren t unique, though, we could find ourselves using a JOIN for use #3: duplicated rows. Please understand I am considering this only from the perspective of the first table, and the lack of duplications here is completely expected and desired. If we consider the query from the perspective of the second table, we are indeed seeing the duplication of rows. I am focusing on one table in order to demonstrate when the JOIN serves no direct purpose. The fourth use is more obscure. When an OUTER JOIN is performed, rows that don t have matches are persisted using NULL values for columns from the other table. In our second view above, we are using a LEFT JOIN, and NULL appears instead of the Name column from the Production.ProductSubcategory table. This has no effect on

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the fields from the table of products, but if we were using a RIGHT JOIN or FULL JOIN, and we had subcategories that contained no products allocated, we would find additional rows amongst our list of Products. That s use #4: added NULL rows. These four uses make up the entire functionality and purpose of JOINs: (1)gaining additional columns, (2)eliminating rows, (3)duplicating rows, and (4)adding NULL rows. The most commonly desired function would be the first one listed, but the other functions are just as valid. Perhaps we re counting the number of times an event has occurred, and we take advantage of the duplication effect. Perhaps we want to consider only those records that have a match in another table, or perhaps we are using the added NULLs to find the empty subcategories. Whatever the business reason for performing the JOIN, everything comes back to these four uses.

Table 3-1

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