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Arizona State University have initiated a project codenamed Project Ingenhousz which is looking at photosynthesis and how organisms can be used to harness solar energy to produce fuels that will wean us away from our carbon-based fossil fuels. Could your car one day run from hydrogen that has been produced by algae from solar energy

As the three multiuser update examples show, when users share access to a database and one or more users is updating data, there is a potential for database corruption.

12:

Figure 12-9.

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SELECT CUSTOMER_ACCOUNT_ID FROM CUSTOMER_ACCOUNT WHERE DATE_TERMINATED IS NOT NULL; CUSTOMER_ACCOUNT_ID ------------------6 1 row selected.

SQL uses its transaction mechanism to eliminate this source of database corruption. In addition to the all-or-nothing commitment for the statements in a transaction, a SQL-based DBMS makes this commitment about transactions: During a transaction, the user will see a completely consistent view of the database. The user will never see the uncommitted changes of other users, and even committed changes made by others will not affect data seen by the user in mid-transaction.

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Transactions are thus the key to both recovery and concurrency control in a SQL database The previous commitment can be restated explicitly in terms of concurrent transaction execution: If two transactions, A and B, are executing concurrently, the DBMS ensures that the results will be the same as they would be if either (a) Transaction A were executed first, followed by Transaction B, or (b) Transaction B were executed first, followed by Transaction A This concept is known as the serializability of transactions Effectively, it means that each database user can access the database as if no other users were concurrently accessing the database In practice, dozens or hundreds of transactions may be concurrently executing within a large production database The serializability concept can be directly extended to cover this situation.

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Serializability guarantees that, if some number, N, concurrent transactions are executing, the DBMS must ensure that its results are the same as if they had been executed in some sequence, one at a time The concept does not specify which sequence of transactions must be used, only that the results must match the results of some sequence The fact that a DBMS insulates you from the actions of other concurrent users doesn t mean, however, that you can forget all about the other users In fact, the situation is quite the opposite Because other users want to concurrently update the database, you should keep your transactions as short and simple as possible, to maximize the amount of parallel processing that can occur Suppose, for example, that you run a program that performs a sequence of three large queries.

Since the program doesn t update the database, it might seem that it doesn t need to worry about transactions It certainly seems unnecessary to use COMMIT statements But in fact, the program should use a COMMIT statement after each query Why Recall that SQL automatically begins a transaction with the first SQL statement in a program Without a COMMIT statement, the transaction continues until the program ends Further, SQL guarantees that the data retrieved during a transaction will be self-consistent, unaffected by other users transactions This means that once your program retrieves a row from the database, no other user can modify the row until your transaction ends, because you might try to retrieve the row again later in your transaction, and the DBMS must guarantee that you will see the same data.

The BETWEEN operator is used to determine if a value falls within a range. The range is speci ed using a minimum value and a maximum value, and the range is inclusive, which means that the minimum and maximum values are included in the range. This is a nice shorthand way of writing a range condition that is also easier to read and understand. For instance, the condition WHERE MOVIE_ID BETWEEN 7 AND 9 is the same as the condition WHERE MOVIE_ID >= 7 AND MOVIE_ID <= 9 . Here are some examples: Find all movies with a RETAIL_PRICE_DVD between 14.99 and 19.99. Notice that movies with a price of exactly 14.99 or 19.99 are included in the result set.

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