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When you omit the column list, the NULL keyword must be used in the values list to explicitly assign NULL values to columns, as shown in the example. In addition, the sequence of data values must correspond exactly to the sequence of columns in the table. Omitting the column list is convenient in interactive SQL because it reduces the length of the INSERT statement you must type. For programmatic SQL, the column list should always be specified because it makes the program easier to read and understand. In addition, table structures often change over time to include new columns or drop columns that are no longer used. A program that contains an INSERT statement without an explicit column list may work correctly for months or years, and then suddenly begin producing errors if the number of columns or data types of columns is changed by a database administrator.

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consequences. There is a resurgence of interest in biofuel technology expect to hear much more about biofuels in the years to come.

The second form of the INSERT statement, shown in Figure 10-3, adds multiple rows of data to its target table. In this form of the INSERT statement, the data values for the new rows are not explicitly specified within the statement text. Instead, the source of new rows is a database query, specified in the statement.

Figure 10-3.

10

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Adding rows whose values come from within the database itself may seem strange at first, but it s very useful in some special situations. For example, suppose you want to copy the order number, date, and amount of all orders placed before January 1, 1990, from the ORDERS table into another table, called OLDORDERS. The multirow INSERT statement provides a concise, efficient way to copy the data: Copy old orders into the OLDORDERS table.

INSERT INTO SELECT FROM WHERE OLDORDERS (ORDER_NUM, ORDER_DATE, AMOUNT) ORDER_NUM, ORDER_DATE, AMOUNT ORDERS ORDER_DATE < '01-JAN-90'

This INSERT statement looks complicated, but it s really very simple. The statement identifies the table to receive the new rows (OLDORDERS) and the columns to receive the data, just like the single-row INSERT statement. The remainder of the statement is a query that retrieves data from the ORDERS table. Figure 10-4 graphically illustrates the

Figure 10-4.

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1. b 2. a 3. a, c 4. b, c, d, e 5. a, c, d, e 6. e 7. b, d 8. a, b, e 9. a, d, e 10. b, c 11. a, b, e 12. b, d, e 13. b, c, d, e 14. b, d, e 15. a, d, e 16. c, e 17. a, b, c, d 18. b, d, e 19. a, c, d 20. b, d, e

10:

operation of this INSERT statement. Conceptually, SQL first performs the query against the ORDERS table and then inserts the query results, row by row, into the OLDORDERS table. Here s another situation where you could use the multirow INSERT statement. Suppose you want to analyze customer buying patterns by looking at which customers and salespeople are responsible for big orders those over $15,000. The queries that you will be running will combine data from the CUSTOMERS, SALESREPS, and ORDERS tables. These three-table queries will execute fairly quickly on the small sample database, but in a real corporate database with many thousands of rows, they would take a long time. Rather than running many long, three-table queries, you could create a new table named BIGORDERS to contain the required data, defined as follows:

Well, all Evil Geniuses should be trying to form a balanced view of the arguments in the world they are trying to conquer Let s take a look at the flip side of biofuels and assess why, maybe, they aren t going to save the world Biofuels have an important role to play while we look for medium-term solutions to our energy problems In the longer term, technologies such as the hydrogen economy and hydrogen fuel cells, could potentially meet our energy needs However, in the short term, we need to look for transitional solutions that will allow us to shift from our dirty technologies, to more environmentally responsible technologies Biofuels have a part to play in this transition However, if we look at trying to meet all of our energy needs from biofuels, it becomes apparent that growing energy may not be desirable on a large scale.

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