Steps in the Oracle Performance Improvement Method.pdf
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The Oracle Performance Improvement Method by Alireza Kamrani emphasizes a systematic approach to identifying and resolving performance bottlenecks in Oracle databases. Key steps include gathering user feedback, analyzing operating system and application statistics, and following a structured method of incremental changes to validate performance improvements. The iterative process aims to achieve significant efficiency gains by isolating application issues while underlining the importance of rigorous testing and validation after each change.
Steps in the Oracle Performance Improvement Method.pdf
- 1. Steps in the Oracle Performance Improvement Method Alireza Kamrani 08/26/2024 Oracle performance methodology helps you to identify performance problems in an Oracle database. This involves identifying bottlenecks and fi xing them. It is recommended that changes be made to a system only after you have con fi rmed that there is a bottleneck. Performance improvement, by its nature, is iterative. For this reason, removing the fi rst bottleneck might not lead to performance improvement immediately, because another bottleneck might be revealed. Also, in some cases, if serialization points move to a more ine ffi cient sharing mechanism, then performance could degrade. With experience, and by following a rigorous method of bottleneck elimination, applications can be debugged and made scalable. Performance problems generally result from either a lack of throughput, unacceptable user/job response time, or both. The problem might be localized between application modules, or it might be for the entire system. In this section you will fi nd a essential methods to investigating and discovering performance issues: 1. Perform the following initial standard checks: a) Get candid feedback from users. Determine the performance project's scope and subsequent performance goals, and performance goals for the future. This process is key in future capacity planning. b) Get a full set of operating system, database, and application statistics from the system when the performance is both good and bad. If these are not available, then get whatever is available. Missing statistics are analogous to missing evidence at a crime scene: They make detectives work harder and it is more time-consuming. C) Sanity-check the operating systems of all computers involved with user performance. By sanity-checking the operating system, you look for hardware or operating system resources that are fully utilized. List any over-used resources as symptoms for analysis later. In addition, check that all hardware shows no errors or diagnostics. 2. Check for the top ten most common mistakes with Oracle Database(presented in previous post at this group), and determine if any of these are likely to be the problem. List these as symptoms for later analysis. These are included because they represent the most likely problems. ADDM automatically detects and reports nine of these top ten issues. 3. Build a conceptual model of what is happening on the system using the symptoms as clues to understand what caused the performance problems. 4. Propose a series of remedy actions and the anticipated behavior to the system, then apply them in the order that can bene fi t the application the most. ADDM produces recommendations each with an expected bene fi t. A golden rule in performance work is that you only change one thing at a time and then measure the di ff erences. Unfortunately, system downtime requirements might prohibit such a rigorous investigation method. If multiple changes are applied at the same time, then try to ensure that they are isolated so that the e ff ects of each change can be independently validated.
- 2. 5. Validate that the changes made have had the desired e ff ect, and see if the user's perception of performance has improved. Otherwise, look for more bottlenecks, and continue re fi ning the conceptual model until your understanding of the application becomes more accurate. 6. Repeat the last three steps until performance goals are met or become impossible due to other constraints. This method identi fi es the biggest bottleneck and uses an objective approach to performance improvement. The focus is on making large performance improvements by increasing application e ffi ciency and eliminating resource shortages and bottlenecks. In this process, it is anticipated that minimal (less than 10%) performance gains are made from instance tuning, and large gains (100% +) are made from isolating application ine ffi ciencies. Alireza Kamrani 08/26/2024