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My colleague Don Rios correctly points out that a critical question here is whether the performance problem du jour is something that s sudden without any forewarnings or if it s caused by factors that have been gradually creeping up on you Under the latter category are things such as a growing database, a larger number of users, and a larger number of DML operation updates than what you had originally designed the system for These types of problems may mean that you need to redesign at least some of your tables and indexes with different storage parameters, and other parameters such as freelists If, on the other hand, the database has slowed down suddenly, you need to focus your attention on a separate set of items Your best bet for analyzing what s happening in the database currently is to probe the ASH.

You can easily find out the users, the objects, and the SQL causing the waits in your instance by using the queries based on V$ACTIVE_SESSION_HISTORY, which I explained in the section Using the V$ACTIVE_SESSION_HISTORY View earlier in this chapter You can also run a quick ASH report encompassing the past few minutes to see where the bottlenecks may lie, and who is causing them..

While Fire methods can be used to send notifications using procedure calls, they can also be used to send notifications using messages. Any type of shared resource can be used to send the messages, but the most common one is a network connection. No special language constructs or types are required, so messages are easy to send. The sender usually makes calls into a communication system, which then takes responsibility for delivering the messages.

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You might be asking what is meant by the 'maybe!' and the use of MAX() in the preceding scalar subquery. This is due to the fact that DATA_OBJECT_ID is not a primary key in the DBA_OBJECTS view as evidenced by the following: sys@ORA10G> 2 from 3 where 4 group 5 having select data_object_id, count(*) dba_objects data_object_id is not null by data_object_id count(*) > 1;

In Oracle Database 10g Release 2, the OEM Database Control provides the Gather Statistics wizard, which you can use if there are performance issues due to out-of-date statistics for fixed and dictionary objects.

I reviewed the OEM Database Control and Grid Control in 19. It s nice to learn about all the different V$ views regarding waits and performance, but nothing beats the Database Control when it comes to finding out quickly what s happening in your database at any given time. I present a simple approach to using the Database Control s various performance-related pages in the following sections.

DATA_OBJECT_ID COUNT(*) -------------- ---------2 17 6 3 8 3 10 3 29 3 161 3 200 3 210 2

When using PCs to deliver notifications, the most natural type of call is the synchronous one, but using synchronous calls to deliver notifications forces the event source to depend on the timing of the event subscriber. When the subscriber is expected to take a long time, or when the subscriber s processing time is completely unpredictable, asynchronous calls are sometimes indicated. With asynchronous calls, the subscriber executes the event handler method on a separate thread from the event source. Who spawns this separate thread In theory, either the event source or the event target could handle the task. If you have access to the source code of both objects, the most common scenario is to have the event source create the thread to run the event handler method on, as shown in Figure 8-27.

Start your performance analysis by looking at the following three instance performance charts on the Database Control s home page. Figure 22-2 shows the Database Control home page.

The CPU consumption on the host server is shown in the form of a bar chart. The chart shows two categories: the instance and another category called other, which represents all the processes that don t belong to the database instance.

This is due to clusters (discussed in the 10), which may contain multiple tables. Therefore, when joining from X$BH to DBA_OBJECTS to print out a segment name, we would technically have to list all of the names of all of the objects in the cluster, as a database block does not belong to a single table all of the time. We can even watch as Oracle increments the touch count on a block that we query repeatedly. We will use the magic table DUAL in this example we know it is a one row, one column table. We need to find out the block information for that single row. The built-in DBMS_ROWID package is good for getting that. Additionally, since we query ROWID from DUAL, we are making Oracle actually read the real DUAL table from the buffer cache, not the virtual DUAL table enhancement of Oracle 10g.

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