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Deleting Data from a Table
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One or more rows can be removed from a table by using the Delete From statement Before doing so, however, make sure that the information you are deleting is no longer needed and won't impact other tables in your database (see "Joining Tables") There are two ways in which to delete rows First, you can remove all rows of a table by using the Delete From statement without a WHERE clause The other way is to specify rows you want to delete by using a WHERE clause This is illustrated in the next example, where we delete the row that contains information about Sam Jones:
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DELETE FROM Customers WHERE CustomerLastName
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As you learned in 9, rows of two tables can be linked together by joining the tables using a value that is common to each of them For example, a table containing customer information can be joined to a table that contains customer orders by using a customer number, which appears in a column in both tables Tables are joined in a query using a two-step process First, both tables must be identified in the FROM clause Next, an expression is created in the WHERE clause that identifies the columns that are used to create the join Before learning how this is done, let's create another table called Orders and insert the data shown here: OrderNumber Character(30) Primary Key ProductNumber Character(30)
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CustomerNumber Character(l0) Quantity NUMBER SubTotal NUMBER
OrderNumber
ProductNumber
CustomerNumber
Quantity
SubTotal
Let's retrieve the customer name and the subtotal for all orders Here's the query that you'll need to write The Select statement contains the names of the columns that we want the DBMS to return to our application The From clause must contain the names of both tables that are being used by the query Each name is separated from the next by a comma The WHERE clause is where the join occurs It is here that you need to specify the column name of each table that is used to join the tables Both columns must have the same value and the same data type; otherwise, rows won't be joined together Whenever the same column name appears in both tables, you'll need to preface the column name with the table name This is the case with CustomerNumber Both the Customers table and the Orders table have a column called CustomerNumber Therefore, we need to explicitly identify which column we're referring to Notice that the table name and the column name are separated by a period
SELECT CustomerFirstName, CustomerLastName, Subtotal FROM Customers, Orders WHERE CustomersCustomerNumber = 0rdersCustomerNumber
The preceding example returned all rows However, you can specify the rows that you want returned by setting criteria in the WHERE clause To do this, you create an expression, as you learned earlier in this chapter Suppose we want to return only the customer name and subtotal for customer number 87676 Here's what you need to do:
SELECT CustomerFirstName, CustomerLastName, Subtotal FROM Customers, Orders WHERE CustomersCustomerNumber = 0rdersCustomerNumber AND CustomersCustomerNumber
' 87676 '
1 SQL
A query can become unreadable to you-not to the DBMS-if you need to explicitly use table names to preface column names in the query The names are simply too long You can shorten the name of a table just for the query by using a table alias A table alias is an abbreviation that can be used in place of the name of the table in the query Here's how this is done: The abbreviation is placed alongside the table name in the From clause You create your own abbreviation Where possible, use the first letter of the table The abbreviation is then used in place of the table name in the query, as shown here:
SELECT CustomerFirstName, CustomerLastName, Subtotal FROM Customers C, Orders 0 WHERE CCustomerNumber = 0CustomerNumber AND CCustomerNumber
'87676'
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