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The SQL queries described thus far in s 6 9 are the mainstream capabilities provided by most SQL implementations. The combination of features they represent column selection in the SELECT clause, row selection criteria in the WHERE clause, multitable joins in the FROM clause, summary queries in the GROUP BY and HAVING clauses, and subqueries for more complex requests give the user a powerful set of data retrieval and data analysis capabilities. However, database experts have pointed out many limitations of these mainstream query capabilities, including these:

9:

CHECK constraints An INSERT or UPDATE statement cannot apply a value to a table column that violates any CHECK constraint on that column..

I No decision making within queries. Suppose you wanted to generate a two-column report from the sample database showing the name of each sales office and either its annual sales target or its year-to-date sales, whichever is larger. With standard SQL query features, this is hard to do. Or suppose you had a database that kept track of sales by quarter (four columns of data for each office) and wanted to write a program that displayed offices and their sales for

For a demonstration in an educational setting, the Eco H2/O2 system available from Fuel Cell Store (see Supplier s Index) part no. 534407 offers a great way to demonstrate the principles in this chapter, in a nice, desk-mounted study of solar hydrogen electricity.

To generate the query results for a SELECT statement:

1. 2. 3.

If the statement is a UNION of SELECT statements, apply Steps 2 through 7 to each of the statements to generate their individual query results Form the product of the tables named in the FROM clause If the FROM clause names a single table, the product is that table If there is a WHERE clause, apply its search condition to each row of the product table, retaining those rows for which the search condition is TRUE (and discarding those for which it is FALSE or NULL) If the HAVING clause contains a subquery, the subquery is performed for each row as it is tested If there is a GROUP BY clause, arrange the remaining rows of the product table into row groups, so that the rows in each group have identical values in all of the grouping columns.

The INSERT statement in SQL is used to add new rows of data to tables. It comes in two basic forms: one where column values are provided in the statement itself, and the other where values are selected from a table or view using a subselect. Let s have a look at those two forms.

If there is a HAVING clause, apply its search condition to each row group, retaining those groups for which the search condition is TRUE (and discarding those for which it is FALSE or NULL) If the HAVING clause contains a subquery, the subquery is performed for each row group as it is tested For each remaining row (or row group), calculate the value of each item in the select list to produce a single row of query results For a simple column reference, use the value of the column in the current row (or row group) For a column function, use the current row group as its argument if GROUP BY is specified; otherwise, use the entire set of rows If SELECT DISTINCT is specified, eliminate any duplicate rows of query results that were produced.

If the statement is a UNION of SELECT statements, merge the query results for the individual statements into a single table of query results Eliminate duplicate rows unless UNION ALL is specified If there is an ORDER BY clause, sort the query results as specified The rows generated by this procedure comprise the query results..

7. 8.

Figure 9-8.

The INSERT statement that uses a VALUES clause can create only one row each time it is run because the values for that one row of data are provided in the statement itself. Here is the general syntax for the statement: