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You may also provide arguments to specify the type of performance information to view If you do not provide any arguments, you will by default be shown performance information for all CPUs The following extract shows the first output of the CPU performance information for a three-second sampling period to be collected ten times: [root@londonl root]# sar 3 10 Linux 269-5ELsmp (londonl) 12:32:56 12:32:59 12:32:59 CPU 0 1 %user 4033 3767 06/20/2005 %nice 000 000 %system 2000 1800 %idle 3967 4433.

12:32:59 12:32:59 12:32:59 12:32:59 12:32:59 12:32:59

Figure 5-31. Running the report with auditing enabled Then query the audit table: system@DBTEST> select session_id, db_user, statement_type 2 from dba_fga_audit_trail; SESSION_ID ---------5005 5054 DB_USER -------------------JIMB HTMLDB_PUBLIC_USER STATEMENT_TYPE --------------SELECT SELECT

2 3 4 5 6 7

54.33 60.00 38.00 37.00 50.33 50.00

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You can see the issue here: rather than auditing that user jimb performed the action in the APEX application, it has been logged as being performed by the HTMLDB_PUBLIC_USER user. This is because HTMLDB_PUBLIC_USER is the user specified in the DAD. So, after all we ve said about not using a single account for logging in to the database, have we reached a roadblock in identifying which user performed the action in the APEX application Well, as you might have guessed, we wouldn t have brought you this far if it were not possible to find out which user performed the action. The answer lies in the client_id column. Fortunately, the Oracle team behind APEX had the foresight to populate the client_id for you: system@DBTEST> select db_user, client_id 2 from dba_fga_audit_trail; DB_USER CLIENT_ID -------------------- -----------------------------JIMB HTMLDB_PUBLIC_USER JIMB:2264954872210432 This is also an extremely good illustration of why it s important to instrument your code in the same way that the Oracle team has done by including the APEX session information in the client_id column. You never know when that information will be useful to someone else, and if you haven t made it possible for others to access that information, that lack could cause all sorts of unforeseen problems. The client_id column not only contains the name of the user (jimb) but also the session ID that was used (2264954872210432), so the format of the client_id value is user:session_id. Having this level of detail available to you from the audit log allows you to go back into the APEX instance management and drill down into the recent session information that matches the information from the client_id column, as shown in Figure 5-32. Then you can drill down into the session information, as shown in Figure 5-33.

0,00 0.00 0.00 0,00 0.00 0.00

20.33 16.33 19.33 28.00 24.33 24.33

Summary

25.33 23.67 42.67 35.00 25.33 2S.67

To view additional or alternative performance information, you may provide other arguments, such as sar -n for network statistics or sar -b for I/O statistics, and the full range of options are detailed in the sar man page. To produce performance information on all sections interactively, you can call sar -A; however, be aware that the output is extensive. In conjunction with sar -A, you may also find the -o option useful in directing the output to a file. The default file location is the same as the regularly sampled sar data, and we therefore recommend that you specify a file name for detailed sar performance analysis work. For example, the following command collects all sar statistics at three-second intervals for a five-minute period into the file londonl. sa:

The file generated is in the sar binary format, and you will therefore also require sar to read the results file at a later point in time using the -f option, for example:

This chapter covered methods you can use to control the data your users can access and what actions they can perform on that data, while auditing the actions they perform. It s extremely important to consider using features such as VPD and auditing in the early stages of application design. Although you can easily enable functionality such as auditing using the DBMS_FGA package later on, trying to retrofit VPD into an application when you have already written additional predicates for all your queries is a much bigger and more daunting task. There is often resistance to changing things once they are working after all, who wants to risk being the one to break something that has worked for a long time This is why you should consider the options you have available to you at the early stages of project design. Investigate the latest database features to see what they can do for you. Many people have written their own auditing solutions when they could have saved a lot of development time by using the built-in database features instead.

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