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Temporary tables are still considered a relatively new feature of Oracle, having been introduced only in Oracle8i version 8.1.5. As such, there is some confusion surrounding them, in particular in the area of logging. In 10, we will cover how and why you might use temporary tables. In this section, we will explore only the question How do temporary tables work with respect to logging of changes Temporary tables generate no redo for their blocks. Therefore, an operation on a temporary table is not recoverable. When you modify a block in a temporary table, no record of this change will be made in the redo log files. However, temporary tables do generate undo, and the undo is logged. Hence, temporary tables will generate some redo. At first glance, it doesn t seem to make total sense: why would they need to generate undo This is because you can roll



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Set the supported methods to only those that the Controller specifically supports. When a client Tip

Figure 13.2 How optimistic locking strategy is implemented by a persistence provider. If the locking mode is set to WAIT, the User2 would wait until User1 releases the lock.





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back to a SAVEPOINT within a transaction You might erase the last 50 INSERTs into a temporary table, leaving the first 50 Temporary tables can have constraints and everything else a normal table can have They might fail a statement on the five-hundredth row of a 500-row INSERT, necessitating a rollback of that statement Since temporary tables behave in general just like normal tables, temporary tables must generate undo Since undo data must be logged, temporary tables will generate some redo log for the undo they generate This is not nearly as ominous as it seems The primary SQL statements used against temporary tables are INSERTs and SELECTs Fortunately, INSERTs generate very little undo (you need to restore the block to nothing, and it doesn t take very much room to store nothing ), and SELECTs generate no undo.

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timestamp to track changes. The version number approach is preferred and quite reliable, because it could be that two users may be trying to update the same data at the same instant (timestamp). Every time a specific database row is updated, the version column is incremented by the application. When a user reads the entity, the version column is retrieved and stored with the entity instance. After making changes in the entity object, as the user tries to save the entity to the database, the application compares the version attribute of the entity object with that of the database. If the version attributes are the same, then the user is allowed to hold a write lock on the object, saves the object to the database, increments the version attribute, and then releases the write lock. If the version attributes are different, then it is assumed the entity has since been updated by someone else and the update is rejected with an OptimisticLockingException. If you re building an application with JDBC, then you ll have to implement a locking strategy yourself. However, if you re using the EJB 3 JPA, the persistence provider makes your life much simpler. The EJB 3 JPA persistence providers are required to support the optimistic locking strategy using a version number column in the database table. Let s take a closer look at how this is done.

Hence, if you use temporary tables for INSERTs and SELECTs exclusively, this section means nothing to you It is only if you UPDATE or DELETE that you might be concerned about this I set up a small test to demonstrate the amount of redo generated while working with temporary tables, an indication therefore of the amount of undo generated for temporary tables, since only the undo is logged for them To demonstrate this, I will take identically configured permanent and temporary tables, and then perform the same operations on each, measuring the amount of redo generated each time The tables I used were simply as follows: ops$tkyte@ORA10G> create table perm 2 ( x char(2000) , 3 y char(2000) , 4 z char(2000) ) 5 / Table created.

attempts a non-supported HTTP method, the correct error message and status will be generated, creating helpful error messages. Plus, your Controller will be protected against incorrect (and potentially damaging) usage.

If any of your entities are accessed concurrently in your applications, or detached entity instances are merged, then you must enable optimistic locking for those entities. For example, in the ActionBazaar application entities such as Item and Category are accessed concurrently. You must enable optimistic locking for these entities by adding a version attribute in these entities.

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