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This point is important to understand, as many people associate partitioning with free performance increase This does not mean that partitions should not be used in OLTP systems they do provide many other salient benefits in this environment just don t expect a massive increase in throughput Expect reduced downtime Expect the same good performance (partitioning will not slow you down when applied appropriately) Expect easier manageability, which may lead to increased performance due to the fact that some maintenance operations are performed by the DBAs more frequently because they can be We investigated the various table-partitioning schemes offered by Oracle range, hash, list, interval, reference, and composite and talked about when they are most appropriately used We spent the bulk of our time looking at partitioned indexes and examining the differences between prefixed and nonprefixed and local and global indexes.

When using aspects to introduce crosscutting concerns into a system, I have often found it necessary to throw a checked exception that was not originally part of the join point s list of declared exceptions. On each occasion, I had to make a few choices in handling the specific exception for the crosscutting concern, and I needed a pattern to deal with all these situations in a consistent way. For that reason, I created the exception introduction pattern to address concern-specific checked exceptions in a systematic manner. In this book, you will see examples of this pattern in chapters 10 and 11. AspectJ does not allow an advice to declare that it may throw a checked exception (an exception that extends Exception directly or indirectly instead of

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Now, in another session, we get this query ready to run: ops$tkyte@ORA10GR1> select sid, qcsid, server#, degree 2 from v$px_session 3 where qcsid = 162 Shortly after starting the parallel query in the session with SID=162, we come back to this second session and run the query: 4 /

We investigated partition operations in data warehouses combined with global indexes, and the tradeoff between resource consumption and availability Over time, I see this feature becoming more relevant to a broader audience as the size and scale of database applications grow The Internet and its database-hungry nature along with legislation requiring longer retention of audit data are leading to more and more extremely large collections of data, and partitioning is a natural tool to help manage that problem..

Parallel execution, a feature of Oracle Enterprise Edition (it is not available in the Standard Edition), was first introduced in Oracle version 716 in 1994 It is the ability to physically break a large serial task (any DML, or DDL in general) into many smaller bits that may all be processed simultaneously Parallel executions in Oracle mimic the real-life processes we see all of the time For example, you would not expect to see a single individual build a house; rather, many people team up to work concurrently to rapidly assemble the house In that way, certain operations can be divided into smaller tasks and performed concurrently; for instance, the plumbing and electrical wiring can take place concurrently to reduce the total amount of time required for the job as a whole Parallel execution in Oracle follows much the same logic.

SID QCSID SERVER# DEGREE ---------- ---------- ---------- ---------145 162 1 8 150 162 2 8 147 162 3 8 151 162 4 8 146 162 5 8 152 162 6 8 143 162 7 8 144 162 8 8 162 162 9 rows selected. We see here that our parallel query session (SID=162) is the query coordinator SID (QCSID) for nine rows in this dynamic performance view. Our session is coordinating or controlling these parallel query resources now. We can see each has its own SID; in fact, each is a separate Oracle session and shows up as such in V$SESSION during the execution of our parallel query: ops$tkyte@ORA10GR1> select sid, username, 2 from v$session 3 where sid in ( select sid 4 from v$px_session 5 where qcsid = 162 ) 6 / SID USERNAME ---------- -----------------------------143 BIG_TABLE 144 BIG_TABLE 145 BIG_TABLE 146 BIG_TABLE 147 BIG_TABLE 150 BIG_TABLE 151 BIG_TABLE 153 BIG_TABLE 162 BIG_TABLE 9 rows selected. program

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