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mercruiser number 2 workshop manual 1977Typically, you use the automatic diagnostic feature of ADDM to identify performance problems with the database. It is possible to configure ADDM to run more or less frequently. However, in some cases you may want to run ADDM manually. For example, you may want to analyze database performance in a workday by analyzing 8 consecutive hours. You could analyze each of the individual ADDM periods within the workday, but this approach may become complicated if performance problems appear in only some ADDM periods. Alternatively, you can run ADDM manually with a pair of Automatic Workload Repository (AWR) snapshots that encompass the 8-hour period. In this case, ADDM identifies the most critical performance problems in the entire time period. If the next ADDM analysis is not scheduled to run for 30 minutes, then you can run ADDM manually to identify and resolve the performance problem. This manual run may affect the ADDM run cycle. For example, if you scheduled ADDM to run hourly at the start of each hour and the last ADDM run was at 8:00 p.m., running ADDM manually at 8:30 p.m. causes the next scheduled run to start at 9:30 p.m., not 9:00 p.m. Subsequent ADDM runs will continue on the new run cycle, occurring hourly at the half-hour instead of the start of each hour. After ADDM completes the analysis, the Automatic Database Diagnostic Monitor (ADDM) page appears with the results. This technique is useful when you have identified a previous time period when database performance was poor. In the Historical view, you can monitor database performance in the past, up to the duration defined by the AWR retention period. If you identify a problem, then you can run ADDM manually to analyze a particular time period. Complete the following steps: Legal Notices. For information, visit or visit if you are hearing impaired. Therefore, you may want to refer to other user guides when you set up and use Oracle HRMS.http://3rprint.com.br/imagens/eureka-excalibur-manual.xml
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This guide also includes information on setting user profiles, as well as running and reviewing concurrent requests. It describes the product architecture and provides information on the common dimensions, security considerations, and data summarization flow. It includes a consolidated setup checklist by page and provides detailed information on how to set up, maintain, and troubleshoot Daily Business Intelligence pages and reports for the following functional areas: Financials, Interaction Center, iStore, Marketing, Product Lifecycle Management, Projects, Procurement, Sales, Service, Service Contracts, and Supply Chain. It describes the product architecture and provides information on the common dimensions, security considerations, and data summarization flow. It includes a consolidated setup checklist by page and provides detailed information on how to set up, maintain, and troubleshoot Daily Business Intelligence pages and reports for the following functional areas: Financials, Interaction Center, iStore, Marketing, Product Lifecycle Management, Projects, Procurement, Sales, Service, Service Contracts, and Supply Chain. This includes setting up your organization hierarchy, recording details about jobs and positions within your enterprise, defining person types to represent your workforce, and also how to manage your budgets and costs. This includes recruiting new workers, developing their careers, managing contingent workers, and reporting on your workforce. You can also learn about setting up earnings and deductions for payroll processing, managing leave and absences, and reporting on compensation across your enterprise. This includes setting objectives, defining performance management plans, managing appraisals, and administering questionnaires. This includes identifying succession-planning requirements, using talent profile, suitability analyzer, and performance matrices.http://www.berliner-mauersteine.de/upload/evenflo-discovery-5-car-seat-instruction-manual.xml You also learn how to set up effort reporting for Office of Management and Budget (OMB) compliance. It also describes how to manage workflow processes and business events using Oracle Applications Manager, how to monitor the progress of runtime workflow processes, and how to administer notifications sent to workflow users. It also describes how to define and customize business events and event subscriptions. This guide also provides information on creating custom reports on flexfields data. This information helps you convert data from your existing applications, integrate Oracle Applications data with non-Oracle applications, and write custom reports for Oracle Applications products. Oracle eTRM is available on My Oracle Support. It provides a complete catalog of Oracle E-Business Suite's business service interfaces. The tool lets users easily discover and deploy the appropriate business service interface for integration with any system, application, or business partner. As your instance is patched, the repository is automatically updated with content appropriate for the precise revisions of interfaces in your environment. But when you modify Oracle E-Business Suite data using anything other than Oracle E-Business Suite, you may change a row in one table without making corresponding changes in related tables. If your tables get out of synchronization with each other, you risk retrieving erroneous information and you risk unpredictable results throughout Oracle E-Business Suite. Oracle E-Business Suite also keeps track of who changes information. If you enter information into database tables using database tools, you may store invalid information. If you are unfamiliar with Oracle HRMS, then Oracle suggests that you attend one or more of the Oracle HRMS training classes available through Oracle University. For information, visit or visit if you are hearing impaired.http://schlammatlas.de/en/node/26742 Therefore, it is advised that you reference other user guides and implementation guides when you set up and use Oracle HRMS. It includes information on setting preferences and customizing the UI. In addition, this guide describes accessibility features and keyboard shortcuts for Oracle E-Business Suite. It also describes how to patch a system, with recommendations for optimizing typical patching operations and reducing downtime. It also describes how Oracle E-Business Suite can be integrated into a single sign-on environment. The activities described include defining concurrent programs and managers, enabling Oracle Applications Manager features, and setting up printers and online help. This guide also provides information on creating custom reports on flexfields data. This includes setting up your organization hierarchy, recording details about jobs and positions within your enterprise, defining person types to represent your workforce, and also how to manage your budgets and costs. This includes recruiting new workers, developing their careers, managing contingent workers, and reporting on your workforce. You can also learn about setting up earnings and deductions for payroll processing, managing leave and absences, and reporting on compensation across your enterprise. This includes setting objectives, defining performance management plans, managing appraisals, and administering questionnaires. This includes identifying succession-planning requirements, using talent profile, organization chart, suitability analyzer, and performance matrices. You also learn how to set up effort reporting for Office of Management and Budget (OMB) compliance. It provides a complete catalog of Oracle E-Business Suite's business service interfaces. The tool lets users easily discover and deploy the appropriate business service interface for integration with any system, application, or business partner. As your instance is patched, the repository is automatically updated with content appropriate for the precise revisions of interfaces in your environment. But when you modify Oracle E-Business Suite data using anything other than Oracle E-Business Suite, you may change a row in one table without making corresponding changes in related tables. If your tables get out of synchronization with each other, you risk retrieving erroneous information and you risk unpredictable results throughout Oracle E-Business Suite. Oracle E-Business Suite also keeps track of who changes information. If you enter information into database tables using database tools, you may store invalid information. Except as expressly permitted in your license agreement orIf you find any errors, please report them to usThe terms governing the U.S. Government’s use of Oracle cloud services are defined by the applicable contract for such services. No other rights are granted to the U.S. Government. It is not developed or intended for use in anyOracle Corporation and its affiliates disclaimAll SPARC trademarks are used under license and are trademarks or registered trademarks of SPARC International, Inc. AMD, Epyc, and the AMD logo are trademarks or registered trademarks of Advanced Micro Devices. UNIX is a registered trademark of The Open Group. Oracle CorporationOracle Corporation and its. Typically, you use the automatic diagnostic feature of ADDM to identify performance problems with the database. As described in Automatic Database Performance Monitoring, ADDM runs once every hour by default. You can configure ADDM to run at a different time interval. However, in some cases you may want to run ADDM manually.For example, you may want to analyze database performance in a workday by analyzing 8 consecutive hours. You could analyze each of the individual ADDM periods within the workday, but this approach may become complicated if performance problems appear in only some ADDM periods. Alternatively, you can run ADDM manually with a pair of Automatic Workload Repository (AWR) snapshots that encompass the 8-hour period. In this case, ADDM identifies the most critical performance problems in the entire time period. In some cases you may notice performance degradation that did not exist in the previous ADDM analysis period, or a sudden spike in database activity on the Performance page, as described in Monitoring Real-Time Database Performance. If the next ADDM analysis is not scheduled to run for 30 minutes, then you can run ADDM manually to identify and resolve the performance problem.This manual run may affect the ADDM run cycle. For example, if you scheduled ADDM to run hourly at the start of each hour and the last ADDM run was at 8:00 p.m., running ADDM manually at 8:30 p.m. causes the next scheduled run to start at 9:30 p.m., not 9:00 p.m. Subsequent ADDM runs continue on the new run cycle, occurring hourly at the half-hour instead of the start of each hour. The Advisor Central page appears. The Run ADDM page appears.After ADDM completes the analysis, the Automatic Database Diagnostic Monitor (ADDM) page appears with the results. This technique is useful when you have identified a previous time period when database performance was poor.In the Historical view, you can monitor database performance in the past, up to the duration defined by the AWR retention period. If you notice performance degradation, then you can drill down from the Performance page to identify historical performance problems with the database, as described in Monitoring Real-Time Database Performance. If you identify a problem, then you can run ADDM manually to analyze a particular time period.The Advisor Central page appears. The Run ADDM page appears.Complete the following steps: The Advisor Central page appears. Typically, you should use the automatic diagnostic feature of ADDM to identify performance problems with the database. However, there may be some cases where you may want to run ADDM manually. In this case, you may want to run ADDM manually before the next scheduled ADDM analysis to immediately identify and resolve the performance problem. For example, you may want to analyze the database performance in a full workday by analyzing 8 consecutive hours of database activity. One way to do this is to analyze each of the individual ADDM analysis within this 8-hour period. However, this may become complicated if there are performance problems that exist for only part of the 8-hour period, because they may appear in only some of the individual ADDM analysis. Alternatively, you can run ADDM manually using a pair of AWR snapshots that encompass the 8-hour period, and ADDM will identify the most critical performance problems in the entire time period. This may impact the ADDM run cycle. For example, if you scheduled ADDM to run hourly at the start of each hour and the last ADDM run was at 8:00 p.m., running ADDM manually at 8:30 p.m. will cause the next scheduled ADDM run to start at 9:30 p.m., not 9:00 p.m. All subsequent ADDM run will continue on the new run cycle, occurring hourly at the half-hour instead of the start of each hour. To view the ADDM report, click View Report. This is useful when you have identified a specific time period in the past when the database performance was poor. In Historical view, you can monitor database performance in the past, up to the duration defined by the AWR retention period. If a historical performance problem is identified, you can choose to run ADDM manually to analyze that particular time period. In this example, database activity peaked from 10:15 p.m. to 11:00 p.m., so the snapshot taken at 10:15 p.m. is selected for the start time. In this example, the snapshot taken at 11:00 p.m. is selected. To view the ADDM report, click View Report. To view an ADDM result, select the desired ADDM task and click View Result. Legal Notices. Topics discussed in this guide include: Based on years of designing and performance experience, Oracle has designed a performance methodology. This part describes activities that can dramatically improve system performance and contains the following topics: Configuring a system involves allocating resources in an ordered manner so that the initial system configuration is functional. Usually, tuning is performed reactively, either while the system is in preproduction or after it is live. Most database administrators (DBAs) know their system well and can easily identify peak usage periods. For example, the peak periods could be between 10.00am and 12.00pm and also between 1.30pm and 3.00pm. This could include a batch window of 12.00am midnight to 6am. Optimally, data gathering should be configured from when the application is in its initial trial phase during the QA cycle. Otherwise, this should be configured when the system is first in production. It is important to recognize that many performance statistics indicate the symptoms, and that identifying the symptom is not sufficient data to implement a remedy. For example: Rather, latch contention usually is resolved through application changes. This could be caused by an inadequately-sized system, by untuned SQL statements, or by inefficient application programs. Proactive monitoring can also be considered as proactive tuning. In some situations, experienced performance engineers can identify potential problems through statistics alone, although accompanying performance degradation is usual. Tweaking a system should be considered reactive tuning, and the steps for reactive tuning should be followed. However, tuning should be part of the life cycle of an application—through the analysis, design, coding, production, and maintenance stages. Often, the tuning phase is left until the database is in production. At this time, tuning becomes a reactive process, where the most important bottleneck is identified and fixed. Either way, the goal is to improve the effective use of a particular resource. In general, performance problems are caused by the overuse of a particular resource. The overused resource is the bottleneck in the system. There are several distinct phases in identifying the bottleneck and the potential fixes. These are discussed in the sections that follow. However, client tools often generate inefficient SQL statements. Therefore, a good understanding of the database SQL processing engine is necessary for writing optimal SQL. This is especially true for high transaction processing systems. If an index can point to the exact rows that are required, then Oracle Database can construct an accurate plan to access those rows efficiently through the shortest possible path. In decision support system (DSS) environments, selectivity is less important, because they often access most of a table's rows. In such situations, full table scans are common, and indexes are not even used. This book is primarily focussed on OLTP-type applications. For detailed information on DSS and mixed environments, see the Oracle Database Data Warehousing Guide. This determination is an important step in the processing of any SQL statement and can greatly affect execution time. You can override the execution plan of the query optimizer with hints inserted in SQL statement. In addition to gathering data, Oracle Database provides tools to monitor performance, diagnose problems, and tune applications. You can administer and display the output of the gathering and tuning tools with Oracle Enterprise Manager, or with APIs and views. For ease of use and to take advantage of its numerous automated monitoring and diagnostic tools, Oracle Enterprise Manager Database Control is recommended. See Oracle Database Administrator's Guide to learn how to monitor the operation of the database with server-generated alerts. The memory advisors are commonly used when automatic memory management is not set up for the database. Other advisors are used to optimize mean time to recovery (MTTR), shrinking of segments, and undo tablespace settings.The page can be set to refresh automatically in selected intervals or manually.Oracle recommends using the Automatic Workload Repository to gather performance data. These tools have been designed to capture all of the data needed for performance analysis. Legal Notices. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. If you find any errors, please report them to us in writing. It is not developed or intended for use in any inherently dangerous applications, including applications that may create a risk of personal injury. If you use this software or hardware in dangerous applications, then you shall be responsible to take all appropriate fail-safe, backup, redundancy, and other measures to ensure its safe use. Oracle Corporation and its affiliates disclaim any liability for any damages caused by use of this software or hardware in dangerous applications. All SPARC trademarks are used under license and are trademarks or registered trademarks of SPARC International, Inc. AMD, Opteron, the AMD logo, and the AMD Opteron logo are trademarks or registered trademarks of Advanced Micro Devices. UNIX is a registered trademark of The Open Group. Oracle Corporation and its affiliates are not responsible for and expressly disclaim all warranties of any kind with respect to third-party content, products, and services unless otherwise set forth in an applicable agreement between you and Oracle. Oracle Corporation and its affiliates will not be responsible for any loss, costs, or damages incurred due to your access to or use of third-party content, products, or services, except as set forth in an applicable agreement between you and Oracle. Legal Notices. Topics discussed in this guide include: Based on years of designing and performance experience, Oracle has designed a performance methodology. This topic describes activities that can dramatically improve system performance, such as: Configuring a system involves allocating resources in an ordered manner so that the initial system configuration is functional. Usually, tuning is performed reactively, either while the system is in preproduction or after it is live. Most database administrators (DBAs) know their system well and can easily identify peak usage periods. For example, the peak periods could be between 10.00am and 12.00pm and also between 1.30pm and 3.00pm. This could include a batch window of 12.00am midnight to 6am. Optimally, data gathering should be configured from when the application is in its initial trial phase during the QA cycle. Otherwise, this should be configured when the system is first in production. It is important to recognize that many performance statistics indicate the symptoms, and that identifying the symptom is not sufficient data to implement a remedy. For example: Rather, latch contention usually is resolved through application changes. This could be caused by an inadequately-sized system, by untuned SQL statements, or by inefficient application programs. Proactive monitoring can also be considered as proactive tuning. In some situations, experienced performance engineers can identify potential problems through statistics alone, although accompanying performance degradation is usual. Tweaking a system should be considered reactive tuning, and the steps for reactive tuning should be followed. However, tuning should be part of the life cycle of an application—through the analysis, design, coding, production, and maintenance stages. Often, the tuning phase is left until the database is in production. At this time, tuning becomes a reactive process, where the most important bottleneck is identified and fixed. Either way, the goal is to improve the effective use of a particular resource. In general, performance problems are caused by the overuse of a particular resource. The overused resource is the bottleneck in the system. There are several distinct phases in identifying the bottleneck and the potential fixes. These are discussed in the sections that follow. However, client tools often generate inefficient SQL statements. Therefore, a good understanding of the database SQL processing engine is necessary for writing optimal SQL. This is especially true for high transaction processing systems. If an index can point to the exact rows that are required, then Oracle Database can construct an accurate plan to access those rows efficiently through the shortest possible path. In decision support system (DSS) environments, selectivity is less important, because they often access most of a table's rows. In such situations, full table scans are common, and indexes are not even used. This book is primarily focussed on OLTP-type applications. For detailed information on DSS and mixed environments, see the Oracle Database Data Warehousing Guide. This determination is an important step in the processing of any SQL statement and can greatly affect execution time. You can override the execution plan of the query optimizer with hints inserted in SQL statement. In addition to gathering data, Oracle Database provides tools to monitor performance, diagnose problems, and tune applications. You can administer and display the output of the gathering and tuning tools with Oracle Enterprise Manager, or with APIs and views. For ease of use and to take advantage of its numerous automated monitoring and diagnostic tools, Oracle Enterprise Manager Cloud Control is recommended. See Oracle Database SQL Tuning Guide. See Oracle Database SQL Tuning Guide. See Oracle Database SQL Tuning Guide. See Oracle Database Administrator's Guide to learn how to monitor the operation of the database with server-generated alerts. The memory advisors are commonly used when automatic memory management is not set up for the database. Other advisors are used to optimize mean time to recovery (MTTR), shrinking of segments, and undo tablespace settings.The page can be set to refresh automatically in selected intervals or manually.These tools have been designed to capture all of the data needed for performance analysis. Legal Notices. Typically, you use the automatic diagnostic feature of ADDM to identify performance problems with the database. As described in Automatic Database Performance Monitoring, ADDM runs once every hour by default. You can configure ADDM to run at a different time interval. However, in some cases you may want to run ADDM manually. For example, you may want to analyze database performance in a workday by analyzing 8 consecutive hours. You could analyze each of the individual ADDM periods within the workday, but this approach may become complicated if performance problems appear in only some ADDM periods. Alternatively, you can run ADDM manually with a pair of Automatic Workload Repository (AWR) snapshots that encompass the 8-hour period. In this case, ADDM identifies the most critical performance problems in the entire time period. In some cases you may notice performance degradation that did not exist in the previous ADDM analysis period, or a sudden spike in database activity on the Performance page, as described in Monitoring Real-Time Database Performance. If the next ADDM analysis is not scheduled to run for 30 minutes, then you can run ADDM manually to identify and resolve the performance problem. This manual run may affect the ADDM run cycle. For example, if you scheduled ADDM to run hourly at the start of each hour and the last ADDM run was at 8:00 p.m., running ADDM manually at 8:30 p.m. causes the next scheduled run to start at 9:30 p.m., not 9:00 p.m. Subsequent ADDM runs continue on the new run cycle, occurring hourly at the half-hour instead of the start of each hour. The Advisor Central page appears. The Run ADDM page appears. After ADDM completes the analysis, the Automatic Database Diagnostic Monitor (ADDM) page appears with the results. This technique is useful when you have identified a previous time period when database performance was poor. In the Historical view, you can monitor database performance in the past, up to the duration defined by the AWR retention period. If you notice performance degradation, then you can drill down from the Performance page to identify historical performance problems with the database, as described in Monitoring Real-Time Database Performance. If you identify a problem, then you can run ADDM manually to analyze a particular time period. The Advisor Central page appears. The Run ADDM page appears. Complete the following steps: The Advisor Central page appears. Legal Notices. In contrast, application design sets the security and performance goals before deploying an application. Contrast with a three-minute parallel query in a data warehouse that consumes all of the database host CPU, preventing other queries from running. In each case, the user response time is three minutes, but the cause of the problem is different, and so is the tuning goal. As a developer, you want to develop applications in the least amount of time against an Oracle database, which requires exploiting the database architecture and features. For example, not understanding Oracle Database concurrency controls and multiversioning read consistency may make an application corrupt the integrity of the data, run slowly, and decrease scalability. However, it is impossible to tune applications or a database without knowing SQL. In reactive SQL tuning, you correct a SQL-related problem that a user has experienced. If these statistics do not exist or are no longer accurate, then the optimizer cannot generate the best plan. Other data relevant to SQL performance include the structure of tables and views that the statement accessed, and definitions of any indexes available to the statement. Examples of inefficient design include Sometimes the optimizer chooses a plan with a suboptimal access path, which is the means by which the database retrieves data from the database. For example, the plan for a query predicate with low selectivity may use a full table scan on a large table instead of an index. This comparison, along with information such as changes in data volumes, can help identify causes of performance degradation. The optimal set of access structures can improve SQL performance by orders of magnitude. Because stale statistics on a table do not accurately reflect the table data, the optimizer can make decisions based on faulty information and generate suboptimal execution plans. Consider a problem at the database level and a problem at the statement level. For example, the shared pool is too small, which causes cursors to age out quickly, which in turn causes many hard parses. Using an initialization parameter to increase the shared pool size fixes the problem at the database level and improves performance for all sessions. However, if a single SQL statement is not using a helpful index, then changing the optimizer initialization parameters for the entire database could harm overall performance.