Spotlight On Oracle Keygen 21
Galeno Kent
For years Automated Database Diagnostic Monitor (ADDM) has provided Oracle Database Administrators with a continuous stream of findings and recommendations for optimizing database and application performance. ADDM analyzes Automated Workload Repository (AWR) performance snapshots as soon as they are created, once per hour (typically), using Oracle's proven time-based performance optimizing methodology.
ADDM findings are statements about database time, the fundamental measure of database performance, and the amount of database time (DB Time) involved is the "impact" of the finding. Similarly, recommendations are actions that can potentially be taken to reduce the DB Time of a given finding, and the amount of time they may save is the "benefit". Findings may have multiple recommendations because there may be more than one way to reduce the DB Time for any given finding.
ADDM Spotlight aggregates these hourly findings and recommendations over longer periods such as a week or month. The longer time window enables DBAs and system administrators to assess the systemic impact of implementing ADDM recommendations over all the workloads serviced by the database. Administrators can weigh the total benefits of big changes against the cost and/or risk of implementation and make better performance management decisions.
The summary timeline shows findings or recommendations aggregated by AWR snapshots over the reporting period. Users can see when specific findings or recommendations occur over time and identify a pattern of database performance issues. The timeline can be filtered to isolate specific findings or recommendations to better identify when and how often they occur.
These aggregations enable users to decide whether to implement recommendations based on overall severity, peak severity, and whether they address chronic or intermittent issues. For example, ADDM may find the system was overloaded during a specific hour and make a recommendation to add CPU capacity, which will come at a cost. If this finding occurs only once or infrequently then tuning SQL using CPU during that hour may improve performance without the need for additional CPU allocation.
Database parameters tab display initialization parameters over the reporting period. These can have a significant impact on database performance and ADDM may recommend making changes to them. The parameters table can be filtered to zoom into specific parameters with:
Using EM Cloud Control (EMCC), ADDM Spotlight consolidates the finding and the recommendations that need to be taken into consideration or implemented by looking over the ADDM data of multiple snapshots for an extended period, typically over a week or a day, which provides more justification for implementing the changes that improve the database performance.
*Pluggable Databases require a couple of additional configuration steps to begin collecting ADDM data. You must log in to the PDB as a SYS user and set the AWR_PDB_AUTOFLUSH_ENABLED parameter to 'TRUE'. You must also execute the dbms_workload_repository.modify_snapshot_settings to configure snapshot interval collections.
Whether you are using ADDM Spotlight in EM or Operations Insights, the ADDM spotlight provides powerful visualizations of ADDM findings over time. These capabilities help identify anomalies in database performance more quickly and help facilitate alleviating resource bottlenecks faster. If you want to help increase performance and reduce unplanned downtime, try out ADDM Spotlight in your own data center or in the cloud.
Anusha is a Senior Product Manager working in Observability and Manageability team. Her focus of work is mainly with Performance of the database. Anusha has recently completed her Master's program in Engineering Management at Duke University in May'22.
Derik Harlow works as Senior Product Manager in the Enterprise Cloud Observability Management organization at Oracle Corporation covering the areas of Oracle Cloud Infrastructure Database Management and Operations Insights.
Anusha is a Senior Product Manager working in Observability and Manageability team. Her focus of work is mainly with Performance of the database. Anusha has recently completed her Master's program in Engineering Management at Duke University in May'22.
For years Automated Database Diagnostic Monitor (ADDM) has provided Oracle Database Administrators with a continuous stream of findings and recommendations for optimizing database and application performance. ADDM analyzes Automated Workload Repository (AWR) performance snapshots as soon as they are created, once per hour (typically), using Oracle's proven time-based performance optimizing methodology.
ADDM findings are statements about database time, the fundamental measure of database performance, and the amount of database time (DB Time) involved is the "impact" of the finding. Similarly, recommendations are actions that can potentially be taken to reduce the DB Time of a given finding, and the amount of time they may save is the "benefit". Findings may have multiple recommendations because there may be more than one way to reduce the DB Time for any given finding.
The summary timeline shows findings or recommendations aggregated by AWR snapshots over the reporting period. Users can see when specific findings or recommendations occur over time and identify a pattern of database performance issues. The timeline can be filtered to isolate specific findings or recommendations to better identify when and how often they occur.
These aggregations enable users to decide whether to implement recommendations based on overall severity, peak severity, and whether they address chronic or intermittent issues. For example, ADDM may find the system was overloaded during a specific hour and make a recommendation to add CPU capacity, which will come at a cost. If this finding occurs only once or infrequently then tuning SQL using CPU during that hour may improve performance without the need for additional CPU allocation.
Database parameters tab display initialization parameters over the reporting period. These can have a significant impact on database performance and ADDM may recommend making changes to them. The parameters table can be filtered to zoom into specific parameters with:
Using EM Cloud Control (EMCC), ADDM Spotlight consolidates the finding and the recommendations that need to be taken into consideration or implemented by looking over the ADDM data of multiple snapshots for an extended period, typically over a week or a day, which provides more justification for implementing the changes that improve the database performance.
Using Operations Insights, the ADDM Spotlight overview page provides a compartment-level view, including child compartments, for your database resources’ ADDM findings. This view enables a quick sort and filter of ADDM results to narrow down the most impactful performance findings and better utilize time to improve the overall performance of your database fleet. ADDM data is stored for up to 25 months in Operations Insights, allowing for larger-scale performance investigations based on seasonality trends.
Whether you are using ADDM Spotlight in EM or Operations Insights, the ADDM spotlight provides powerful visualizations of ADDM findings over time. These capabilities help identify anomalies in database performance more quickly and help facilitate alleviating resource bottlenecks faster. If you want to help increase performance and reduce unplanned downtime, try out ADDM Spotlight in your own data center or in the cloud.
I have 2 Oracle 32-bit clients installed. (Needed for different tools). When I remove the oracle 10g references from the system path, leaving the remaining oracle 11g client paths in place, Spotlight is happy.
I've had problems with applications using MDAC components when more than
one version of Oracle client is on the PATH. The problem is in the
registry which determines the exact name of the DLLs to be used to
access Oracle.
It's fine if you have one client, but in our case we have two - 7.3.3
(don't ask! and 9i.) and the result is carnage with bits of client
loaded from different versions of Oracle. And the application doesn't
work.
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Yeah, it was just a guess - something worth trying. It just
depends on individual circumstances. I have about 6 clients
installed (8i, 9.2, 10g instant and normal, and 11g instant
and normal) and I have no problems.