data matrix code c# T-SQL ESSENTIALS in Visual C#

Painting DataMatrix in Visual C# T-SQL ESSENTIALS

CHAPTER 11 T-SQL ESSENTIALS
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involved in the join do not have to be in any key within the tables involved in the join. However, this is quite uncommon, and if you do find you are joining tables, then there is a high chance that a relationship exists between them, which would mean you do require a primary key and a foreign key. This was covered in 3. It is possible that one of the columns on one side of the join is actually a concatenation of two or more columns. As long as the end result is one column, this is acceptable. Also, the two columns that are being joined do not have to have the same name, as long as they both have similar data types. For example, you can join a char with a varchar. What is not acceptable is that one side of the JOIN names a column and on the other side is a variable or literal that is really a filter that would be found in a WHERE statement. Joining two tables together can become quite complicated. The most basic join condition is a straight join between two tables, which is called an INNER JOIN. An INNER JOIN will join the two tables, and where there is a join of data using the columns from each of the two tables, then the data will be returned. For example, if there is a share in the shares table that has no price and you are joining the two tables on the share ID, then you would only see output where there is a share with a share price. You will see this in action in this chapter. It is possible to return all the rows from one table where there is no join. This is known as an OUTER JOIN. Depending on which table you want the rows always to be returned from, this will either be a LEFT OUTER JOIN or a RIGHT OUTER JOIN. Taking our shares example, we could use an OUTER JOIN so that even when there is no share price, we can still list the share. This example will also be demonstrated later in this chapter. The final type of join is the scariest and most dangerous join. If you wish for every row in one table to be joined with every row in the joining table, then you would use a CROSS JOIN. So if you had 10 rows in one table and 12 rows in the other table, you would see returned 120 rows of data (10 12). As you can imagine, this type of join just needs two small tables to produce even a large amount of output. Although not the most helpful of syntax demonstrated within the book, the syntax for joining two tables is as follows: FROM tablea [FULL[INNER|OUTER|CROSS]] JOIN tableb {ON tableb.column1 = tablea.column2 {AND|OR tableb.column...}} The best way to look at the syntax is within a described example. We will use two tables to demonstrate the inner join in this example, ShareDetails.Shares and ShareDetails.SharePrices. Joining two tables could not be simpler. All the columns in both tables are available to be returned through the query, and so we can list the columns desired as normal. However, if there are two columns of the same name, they must be prefixed with the name, or the alias name, of the table from which the information is derived.
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Note It is recommended that whenever a join does take place, whether the column name is unique or not,
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that all columns be prefixed with the table or alias name. This saves time if the query is expanded to include other tables, but it also clarifies exactly where the information is coming from.
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