barcode generator in vb.net code project Now only the Orlando row will be updated and the IN_STOCK_2 value will be changed to 24. in Software

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Now only the Orlando row will be updated and the IN_STOCK_2 value will be changed to 24.
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You can even add a WHERE clause to the SELECT statement, as shown in the following example:
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UPDATE CD_INVENTORY_2 SET IN_STOCK_2 = ( SELECT IN_STOCK FROM CD_INVENTORY WHERE CD_NAME = 'Orlando' ) WHERE CD_NAME_2 = 'Orlando';
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In this case, the IN_STOCK value of 5 is taken directly from the Orlando row of the CD_INVENTORY table and used as the <value expression> portion of the set clause expression. As a result, the set clause expression can be interpreted as the following: IN_STOCK_2 = 5. (Of course, the value in the CD_INVENTORY_2 table won t change because it is already 5, but if it were something other than 5, it would have been updated to 5.) You can add one more layer of complexity to the UPDATE statement by modifying the SET clause even further. For example, suppose you want to increase the value by 2 before inserting it into the IN_STOCK_2 column. To do so, you can change the value expression to the following:
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UPDATE CD_INVENTORY_2 SET IN_STOCK_2 = ( SELECT IN_STOCK FROM CD_INVENTORY WHERE CD_NAME = 'Orlando' ) + 2 WHERE CD_NAME_2 = 'Orlando';
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Again, the SELECT clause pulls the value of 5 from the IN_STOCK column of the CD_ INVENTORY table, but this time, 2 is added to the value returned by the SELECT statement, resulting in a total of 7. As a result, the new set clause expression can be represented as follows: IN_STOCK_2 = (5) + 2. If you execute this statement, the IN_STOCK_2 value will be changed to 7 in the Orlando row of the CD_INVENTORY_2 table. By combining the SET clause with the WHERE clause, you can create UPDATE statements that can calculate very specific values that can be used to modify any number of rows and columns that you need to update. However, as with the INSERT statement, any values that you modify must conform to the restrictions of that table. In other words, the new values must abide by applicable data types, domains, and constraints.
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Of all the data modification statements supported by SQL, the DELETE statement is probably the simplest. It contains only two clauses, only one of which is mandatory. The following syntax shows you just how basic the DELETE statement is: DELETE FROM <table name> [ WHERE <search condition> ] As you can see, the DELETE FROM clause requires that you specify the name of the table (or view) from which you are deleting rows. The WHERE clause, which is similar to
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the WHERE clause in a SELECT statement and an UPDATE statement, requires that you specify a search condition. If you don t include a WHERE clause in your DELETE statement, all rows are deleted from the specified table. Be sure you understand that the DELETE statement does not delete the table itself, only rows in the table the DROP TABLE statement, as described in 3, is used to remove table definitions from the database.
NOTE
SQL supports referencing views in the DELETE statement, but the actual delete is done to rows in the base table. In nearly all implementations you cannot delete rows using views that reference more than one base table see your vendor documentation for specifics.
Notice in the DELETE statement that no column names are specified. This is because you cannot delete individual column values from a table. You can delete only rows. If you need to delete a specific column value, you should use an UPDATE statement to set the value to null. But you can do this only if null values are supported for that column. Now let s take a look at a couple of examples of the DELETE statement. The first example deletes all data (all rows) from the CD_INVENTORY table, shown in Figure 8-5:
DELETE FROM CD_INVENTORY;
That s all there is to it. Of course, you would use this statement only if you want to delete all data from the CD_INVENTORY. Although you might run into some occasions where it s necessary to delete every row from a table, it is more likely that you ll want to use the WHERE clause to specify which rows to delete. Let s modify the statement we just looked at to delete only rows where the MUSIC_TYPE value is Country:
DELETE FROM CD_INVENTORY WHERE MUSIC_TYPE = 'Country';
When you execute this statement, all rows whose MUSIC_TYPE value is Country will be deleted from the CD_INVENTORY table, which in this case is the Patsy Cline: 12 Greatest Hits row. Now let s modify this DELETE statement a little further by including two predicates in the WHERE clause:
DELETE FROM CD_INVENTORY WHERE MUSIC_TYPE = 'Pop' OR PUBLISHER = 'Independent';
This statement will delete any rows in the CD_INVENTORY table that include a MUSIC_ TYPE value of Pop or a PUBLISHER value of Independent, which means that the Court and Spark row and Orlando row will be deleted. As you can see, the number of rows that are deleted from any table depends on the search conditions defined within the WHERE clause. When a WHERE clause is not specified, all rows evaluate to true and are deleted from the table. The WHERE clause allows you to specify exactly which rows should be deleted from the table.
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