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throw the same exception. However, on many occasions, the weaving of concerns into a system requires that an aspect deal with new checked exceptions. For example, your aspects may use commonly available libraries and services to implement the underlying mechanism, such as JDBC for database access or JAAS for authentication; the exceptions they throw are usually checked exceptions. Because the advice cannot declare that it may be throwing these exceptions, you need another way of dealing with them. Further, certain kinds of crosscutting concerns, such as error recovery and transaction management, require that aspects capture exceptions of all types thrown by the join points under consideration and perform logic in the catch blocks. However, what should the aspect do with the exception after performing its concernspecific logic in the catch block This is an especially complex problem when aspects are reusable and do not know about business-specific exceptions.

It is often possible for Oracle to divide a certain large job into smaller parts and to perform each part concurrently In other words, if a full table scan of a large table is required, there is no reason why Oracle cannot have four parallel sessions, P001 P004, perform the full scan together, with each session reading a different portion of the table If the data scanned by P001 P004 needs to be sorted, this could be carried out by four more parallel sessions, P005 P008, which could ultimately send the results to an overall coordinating session for the query Parallel execution is a tool that, when wielded properly, may result in increased orders of magnitude with regard to response time for some operations When it s wielded as a fast = true switch, the results are typically quite the opposite.

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PROGRAM ------------------------------oracle@dellpe (P005) oracle@dellpe (P002) oracle@dellpe (P006) oracle@dellpe (P004) oracle@dellpe (P003) oracle@dellpe (P001) oracle@dellpe (P000) oracle@dellpe (P007) sqlplus@dellpe (TNS V1-V3)

AspectJ s restriction that prevents an advice from declaring that it may throw additional checked exceptions is neither an oversight nor a shortcoming. If this restriction did not exist, it would mean potential systemwide changes. Consider, for example, adding a database persistence layer using AspectJ. If AspectJ allowed advice to add a new checked exception, such as SQLException, to the list of declared exceptions for an advised method, the callers of the methods, who never expected the called method to throw SQLException, would now have to deal with it. They could either catch the exception or declare that they will also throw SQLException. With the later choice, the second-level caller would also have to make a similar choice, and so on. In a way, this limitation is similar to Java s restriction of not allowing overridden methods in a derived class to declare that they will throw any new checked exception.

In this chapter, the goal is not to explain precisely how parallel query is implemented in Oracle, the myriad combinations of plans that can result from parallel operations, and the like; this material is covered quite well in Oracle Administrator s Guide, Oracle Concepts Guide and, in particular, Oracle Data Warehousing Guide This chapter s goal is to give you an understanding of what class of problems parallel execution is and isn t appropriate for Specifically, after looking at when to use parallel execution, we will cover Parallel query: This is the capability of Oracle to perform a single query using many operating system processes or threads Oracle will find operations it can perform in parallel, such as full table scans or large sorts, and create a query plan that does them in parallel.

ops$tkyte@ORA10G> insert into p values ( 2 ); 1 row created ops$tkyte@ORA10G> commit; Commit complete and then we execute the following: ops$tkyte@ORA10G> insert into c values ( 2 ); 1 row created nothing untoward happens yet But if we go into another session and attempt to delete the first parent record ops$tkyte@ORA10G> delete from p where x = 1; we ll find that session gets immediately blocked It is attempting to gain a full table lock on table C before it does the delete Now no other session can initiate a DELETE, INSERT, or UPDATE of any rows in C (the sessions that had already started may continue, but no new sessions may start to modify C) This blocking would happen with an update of the primary key value as well.

Parallel DML (PDML): This is very similar in nature to parallel query, but it is used in reference to performing modifications (INSERT, UPDATE, DELETE, and MERGE) using parallel processing In this chapter, we ll look at PDML and discuss some of the inherit limitations associated with it Parallel DDL: Parallel DDL is the ability of Oracle to perform large DDL operations in parallel For example, an index rebuild, creation of a new index, loading of data via a CREATE TABLE AS SELECT, and reorganization of large tables may all use parallel processing This, I believe, is the sweet spot for parallelism in the database, so we will focus most of the discussion on this topic..

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