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cheap website hosting cheap website hosting This kind of situation can be avoided by using transactions, providing some level of protection against conflicts that arise when two users access data at the same time. To avoid conflicts during a transaction, a DBMS uses locks, mechanisms for blocking access by others to the data that is being accessed by the transaction. (Note that in auto-commit mode, where each statement is a transaction, locks are held for only one statement.) Once a lock is set, it remains in force until the transaction is committed or rolled back. For example, a DBMS could lock a row of a table until updates to it have been committed.

cheap website hosting The effect of this lock would be to prevent a user from getting a dirty read, that is, reading a value before it is made permanent. (Accessing an updated value that has not been committed is considered a dirty read because it is possible for that value to be rolled back to its previous value. If you read a value that is later rolled back, you will have read an invalid value.) How locks are set is determined by what is called a transaction isolation level, which can range from not supporting transactions at all to supporting transactions that enforce very strict access rules. One example of a transaction isolation level is includes five values which represent the transaction isolation levels you can use in JDBC.

cheap website hosting Normally, you do not need to do anything about the transaction isolation level; you can just use the default one for your DBMS. JDBC allows you to find out what transaction isolation level your DBMS is set to (using the The JDBC 3.0 API adds the method , which sets a savepoint within the current transaction. The method has been overloaded to take a savepoint argument. The example below inserts a row into a table, sets the savepoint , and then inserts a second row.

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