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Thus far, you ve seen how to use the Select statement with a single table. It s possible to retrieve rows from multiple tables to create a single virtual table. This is called a join opera tion. Adding a From clause to a Select statement lets you specify more than one table name. However, joining two tables can be very tricky, and you might not necessarily get the results you would expect.
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If you assume that joining two tables would result in a combination of all the columns from both tables, you would be correct. However, if you assume that the rows are combined intel ligently, you would be wrong. Simply specifying two table names in a Select statement means that the database will combine the first row in the first table with each row in the second table. Then the database will take the second row in the first table and combine it with each row in the second table. This pro cess repeats for each row in the first table, which means that if the first table has 100 rows, and the second table has 200 rows, simply joining the two tables together will return a table con taining 20,000 rows.
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Rather than blindly joining all the rows in the first table with those in the second, you can use the Where clause to identify how the two tables will be joined. Typically, you will join two tables together when a particular value in one table is the same as a value in another table. For example, consider two tables. One table contains customers, whereas the second contains orders placed by customers. Typically, each customer in the Customers table would have a field that uniquely identifies the customer, such as CustomerId. Likewise, the Orders table would also contain a field that indicates which customer placed the order. Let s assume that this field is also named CustomerId. Now suppose you want to create a list of all the customers and the orders they placed. You want to join the Customers table with the Orders table, but only when the CustomerId in each table is identical so that you will only join a customer s information and the customer s orders.
Excel and the Structured Query Language
Resolving Column Names
If you tried to code the preceding example as a Select statement, you would run into a prob lem because both tables have a CustomerID column. Fortunately, the Select statement lets you use dot notation to combine a table name with a column name to uniquely identify a column when dealing with multiple tables. The form is <tablename>.<columnname>, so in the case of the previous example, you would refer to the columns as Customers.CustomerId and Orders.CustomerId. The resulting Select statement would look like this:
Select *
From Customers, Orders
Where Customers.CustomerId = Orders.CustomerId
Using Aliases
Just as Excel lets you create names you can use to refer to groups of cells, SQL lets you define aliases for a table name. An alias is merely a short name that can be used in place of the table s name. To define an alias, you follow the name of the table with its alias when you refer to the table in the From clause.
Select *
From Customers c, Orders o
Where c.CustomerId = o.CustomerId
Using Functions
The Select statement lets you perform summary operations over the entire set of rows that would normally be returned. Just as summary operations in Excel (such as SUM, COUNT, or COUNTBLANK) return a single value, the SQL summary functions return a single row con taining the result of the function. For example, you can count the number of records a Select statement might return by using the COUNT function to count the number of CustomerId values retrieved.
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