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In a case like this one where all of the corresponding (that is, identically named) columns from the two tables participate in the UNION operation, SQL2 even allows you to leave off the explicit list of column names: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand.

INSERT INTO MOVIE (MOVIE_ID, MOVIE_GENRE_CODE, MPAA_RATING_CODE, MOVIE_TITLE) VALUES (99, 'TRAIN', 'NR', 'Employee Training Video');

(SELECT FROM WHERE UNION (SELECT FROM WHERE * ORDERS AMOUNT > 30000.00) CORRESPONDING * PRODUCTS (PRICE * QTY_ON_HAND) > 30000)

Finally, it s worth noting that the column alias capability of the query specification can be used to rename or assign names to the columns from the individual query results that are being combined with the UNION operation. If we eliminate the assumption that the PRODUCTS and ORDERS tables use the same column names, it s still possible to use the CORRESPONDING form of the UNION operation in this query simply by renaming the columns in one of the tables: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand.

(SELECT * FROM ORDERS WHERE AMOUNT > 30000.00)

CORRESPONDING MFR_ID AS MFR, PRODUCT_ID AS PRODUCT PRODUCTS (PRICE * QTY_ON_HAND) > 30000)

The following is a simple circuit that uses a thermistor as the sensing element to provide feedback as to the condition of a surface being monitored. There are two simple circuits here both are similar with one small change the position of the thermistor and variable resistor which change places (Figures 4-12 and 4-13).

INSERT INTO MOVIE_LANGUAGE SELECT MOVIE_ID, 'ja' FROM MOVIE;

In this simple example, there is not much advantage in this construct, but in the more general case where the individual queries involve calculated columns or are grouped queries, the CORRESPONDING clause and column aliases can help to clarify the meaning of the query.

SQL2 query expressions provide a much more powerful and flexible method for generating and combining tables of query results than the simple subquery and UNION operations provided by the SQL1 standard. To make query expressions even more useful and more general-purpose, the SQL2 standard allows them to appear almost anywhere that a table reference could appear in a SQL1 query. In particular, a query expression can appear in place of a table name in the FROM clause. Here is a simple example of a SQL2 query for the sample database that uses this feature: Show the names and total outstanding orders of all customers with credit limits over $50,000.

SELECT COMPANY, TOT_ORDERS FROM CUSTOMER, (SELECT CUST, SUM(AMOUNT) AS TOT_ORDERS FROM ORDERS GROUP BY CUST), WHERE (CREDIT_LIMIT > 50000.00) AND (CUST_NUM = CUST)

The second table name in the FROM clause of the main query is not a table name at all, but a full-blown query expression. In fact, the expression could have been much more complex, involving UNION or JOIN operations. When a query expression appears in the FROM clause, as it does here, the DBMS conceptually carries it out first, before any other processing of the query, and creates a temporary table of the query results generated by the query expression. In this case, this temporary table consists of two columns, listing each customer number and the total of orders for that customer number. This temporary table then acts as one of the source tables for the main query. In this example, its contents are joined to the CUSTOMER table to obtain the company name and generate the answer to the main question. There are many other ways in which this query could be written. The entire query could be written as one top-level grouped query that joins the CUSTOMER and ORDERS table. The join operation could be made explicit with a SQL2 JOIN operator, and then

INSERT INTO RENTAL_TOTAL SELECT MOVIE_ID, COUNT(*), SUM(RENTAL_FEE) FROM MOVIE_RENTAL GROUP BY MOVIE_ID;

9: