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The systemstate dumps, although useful, have several drawbacks, including the fact that they dump out too much irrelevant information and take too much time to complete, leading to inconsistencies in the dump information. The newer hanganalyze utility is more sophisticated than a systemstate dump. Hanganalyze provides you with information on resources each session is waiting for, and what is blocking access to those resources. The utility also provides you with a dependency graph among the active sessions in the database. This utility isn t meant to supplant the systemstate dumps; rather, you should use it to help make systemstate dumps more meaningful. Again, use this utility in consultation with Oracle technical support experts. Here s a typical HANGANALYZE command: SQL> ALTER SESSION SET EVENTS 'immediate trace name HANGANALYZE level 3';
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THE PROMISE AND THE PERFORMANCE
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A few years ago, the Immigration and Naturalization Service (INS) of the United States created a new $36 million Student and Exchange Visitor Information System (SEVIS) to replace the old paper-based methods the INS had used for years to track foreign students in U.S. educational institutions. More than 5,400 high schools, colleges, and universities have to use SEVIS to enter the necessary information about enrolled students from other countries.
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CHAPTER 20 PERFOR MAN CE TUNING: TUNING THE INSTA NCE
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The INS had imposed a deadline by which all educational institutions had to switch over fully to the SEVIS system. However, it extended the deadline by at least two weeks amid several complaints about the system working slowly, if at all. Here are a few of those complaints from users across the country: Some employees in Virginia could enter data only in the mornings, before the West Coast institutions logged onto the system. In the afternoons, the system slowed to a crawl. From the University of Minnesota came complaints that that the officials were completely unable to use the system at all. The users mentioned that the system was really jammed with users trying to get on. They also complained that the system was unbelievably slow. An INS spokesperson admitted that the system had been somewhat sluggish and that schools were having trouble using the SEVIS system. The University of North Carolina complained that the situation, if it continued any further, was going to be a real nightmare and that it was already starting to cause some problems. One worker at a college in Michigan was quoted as saying this in frustration: Please tell me what I m doing wrong, or I am going to quit. The INS realized the colleges and universities weren t going to meet the deadline, and they announced a grace period after saying that upgrades to the system had greatly improved performance. Behind the SEVIS system is an Oracle database that was performing awfully slowly. The system apparently couldn t scale well enough. When a large number of users got on, it ground to a halt. Obviously, the system wasn t configured to handle a high number of simultaneous operations. Was the shared server approach considered, for example How were the wait statistics I don t know the details. I do know that the Oracle database is fully capable of meeting the requirements of an application such as this. I picked this example to show that even in high-profile cases, DBAs sometimes have to eat humble pie when the database isn t tuned properly and consequently performance doesn t meet expectations.
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A Simple Approach to Instance Tuning
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Most of the instance tuning that DBAs perform is in response to a poorly performing database. The following sections present a brief summary of how you can start analyzing the instance to find out where the problem lies. First, examine all the major resources such as the memory, CPUs, and storage subsystem to make sure your database isn t being slowed down by bottlenecks in these critical areas.
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Note Collecting baseline data about your database statistics, including wait events, is critically important for troubleshooting performance issues. If you have baseline data, you can immediately check whether the current resource-usage patterns are consistent with the load on the system.
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