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I Suppose a failure occurs on System C after it sends a YES message in Step 3. System A will decide whether to commit or roll back the distributed transaction based on the reply from System B. The recovery program on System C will find the YES message in the local transaction log but will not find a COMMIT or ROLLBACK message to mark the end of the transaction. The recovery program then asks the coordinator (System A) what the final disposition of the transaction was and acts accordingly. Note that System A must maintain a record of its decision to commit or roll back the transaction until it receives the final OK from all of the participants, so that it can respond to the recovery program in case of failure. The two-phase commit protocol guarantees the integrity of distributed transactions, but it generates a great deal of network traffic. If there are n systems involved in the transaction, the coordinator must send and receive a total of (4 * n) messages to successfully commit the transaction. Note that these messages are in addition to the messages that actually carry the SQL statements and query results among the systems. However, there s no way to avoid the message traffic if a distributed transaction is to provide database integrity in the face of system failures. Because of their heavy network overhead, distributed transactions can have a serious negative effect on database performance. For this reason, distributed databases must be carefully designed so that frequently accessed (or at least frequently updated) data is on a local system or on a single remote system. If possible, transactions that update two or more remote systems should be relatively rare.

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Figure 12-4.

This is the same as the primary de nition in the CUSTOMER_ACCOUNT table example you have been using in this topic, except that I added a constraint name to it.

How does the amount of power produced from indirect radiation compare to that from direct radiation There are solar cells available called bifacial solar cells (Figure 10-32). These solar cells are mounted on a clear substrate to form a module. They have the advantage that they can collect light from both sides, so they can absorb direct and indirect radiation.

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BEGIN/ROLLBACK statement pair) are effectively handled in autocommit mode. Each statement is committed as it is executed; there is no way to roll back the statement once it has succeeded. Some DBMS brands that use a Sybase-style transaction model prohibit statements that alter the structure of a database or its security from occurring within a transaction (such as CREATE TABLE, ALTER TABLE, and DROP TABLE, discussed in 13, and GRANT and REVOKE, discussed in 15). These statements must be executed outside a transaction. This restriction makes the transaction model easier to implement, because it ensures that the structure of the database cannot change during a transaction. In contrast, in a complete implementation of the ANSI/ISO-style transaction model, the structure of a database can change significantly during a transaction. (Tables can be dropped, created, and populated, for example.) The DBMS must be able to undo all of these alterations if the user later decides to roll back the transaction, including the structural changes. In practice, this can be difficult to implement, and many popular DBMS products introduce simplifying restrictions. A common restriction is that database structure changes cannot be intermixed with database access operations within a transaction. Another common restriction is that a transaction that alters the database structure may contain one and only one SQL statement (such as a CREATE TABLE or a DROP TABLE statement).

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Transactions: Behind the Scenes *

The all-or-nothing commitment that a DBMS makes for the statements in a transaction seems almost like magic to a new SQL user. How can the DBMS possibly back out the changes made to a database, especially if a system failure occurs during the middle of a transaction The actual techniques used by brands of DBMS vary, but almost all of them are based on a transaction log, as shown in Figure 12-5. Here is how the transaction log works, in simplified, conceptual form. When a user executes a SQL statement that modifies the database, the DBMS automatically writes a record in the transaction log showing two copies of each row affected by the statement. One copy shows the row before the change, and the other copy shows the row after the change. Only after the log is written does the DBMS actually modify the row on the disk. If the user subsequently executes a COMMIT statement, the end-of-transaction is noted in the transaction log. If the user executes a ROLLBACK statement, the DBMS examines the log to find the before images of the rows that have been modified since the transaction began. Using these images, the DBMS restores the rows to their earlier state, effectively backing out all changes to the database that were made during the transaction. If a system failure occurs, the system operator typically recovers the database by running a special recovery utility supplied with the DBMS. The recovery utility examines the end of the transaction log, looking for transactions that were not committed before

12:

[CONSTRAINT constraint_name] FOREIGN KEY (column_name [,column_name...]) REFERENCES table_name (column_name [,column_name...]) [ON DELETE CASCADE | ON DELETE SET NULL]

Figure 12-5.

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