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Database metrics, statistics that measure the rate of change in a cumulative performance statistic, are also important Oracle performance statistics. In previous Oracle versions, you needed to collect data at various periods to calculate the rate of change of various statistics. Now, Oracle places precomputed metrics at your fingertips. For example, you may be interested in a metric like the number of transactions per second during peak times. Dynamic performance views hold these metrics, and the AWR can also store them in its repository. You can consider statistics such as the number of user transactions and the number of physical reads in the system as the base statistics from which database metrics are derived. The manageability monitor (MMON) background process updates metric data on a minute-by-minute basis after collecting the necessary base statistics. All the Oracle management advisors use database metrics for diagnosing performance problems and making tuning recommendations. Database metrics can be used to check the health of various resources like the CPU, memory, and I/O. The OEM Database Control s All Metrics page, shown in Figure 18-1, offers an excellent way to view metrics. To access this page, start at the Database Control home page and click All Metrics under the Related Links heading. For details about the metrics, click the Expand All link in the left corner of the page. From here, you can drill down to the details of any metric by simply clicking a specific metric.



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Watchdog processors Polling Beacons RAID Nonstop processes Fault-tolerance Replication Backups Failover Hot swapping Key escrow Rebooting/restarting

Figure 18-1. The All Metrics page of the Database Control Oracle Database 11g uses several metric groups, with each group representing items like a wait event, service, or session. Table 18-1 lists the basic metric groups in Oracle Database 11g.

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Event class metrics Event metrics File metrics long duration Service metrics Session metrics short duration System metrics long duration Tablespace metrics long duration





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Metrics collected at the wait event class level, such as DB_TIME_WAITING Metrics collected on various wait events Metrics collected at the file level, such as AVERAGE_FILE_WRITE_TIME Metrics collected at the service level, such as CPU_TIME_PER_CALL Metrics collected at the session level, such as BLOCKED_USERS Metrics collected at the system level Metrics collected at the tablespace level, such as TABLESPACE_PCT_FULL

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You can view the Oracle metrics in two ways: by using V$ dynamic views, you can view the inmemory metrics; by using the DBA_HIST* views, you can view the metrics that are stored by the AWR. I explain these two types of views in the following sections.

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The MMON background process collects database metrics and saves them in the SGA for one hour by default. You can adjust this time by changing the AWR snapshot settings. You can view systemrelated metrics by using views like V$SYSMETRIC_HISTORY and V$SYSMETRIC. Here are some of the system metrics maintained in the V$SYSMETRIC view: Buffer cache hit ratio CPU usage per second Database CPU time ratio Database wait time ratio Disk sort per second Hard parse count per second Host CPU utilization percent Library cache hit ratio SQL service response time Shared pool free percent The V$SERVICEMETRIC and V$SERVICEMETRIC_HISTORY views provide details about servicelevel metrics. V$SERVICEMETRIC shows metric values measured on the most recent time interval for database services, in five-second and one-minute intervals, and V$SERVICEMETRIC_HISTORY gives the recent history of the metric values measured in five-second and one-minute intervals for the services running inside the database.

Under the Failure column of the table, we have listed various tools and techniques that can be used to prevent, detect, contain, and/or recover from failure of system components. Replication, for instance, helps contain failure of a storage device by creating copies of information on other storage devices. If a particular storage device fails due to, for example, a head crash, an earthquake, or an adversary who causes physical harm to it, the loss can be contained by retrieving the information from a storage device that replicates it.

Using the AWR snapshots, Oracle saves the metric information that is being continuously placed in the SGA by the MMON process. After saving performance metrics in memory for an hour, the MMON process flushes metric data from the SGA to disk, where it is stored permanently in the DBA_HIST_* views, such as DBA_HIST_SUMMARY_HISTORY, DBA_HIST_SYSMETRIC_HISTORY, and DBA_HIST_ METRICNAME. Each of these views actually represents snapshots of the corresponding V$ view, with, for example, the DBA_HIST_SYSMETRIC_HISTORY view containing snapshots of the V$SYSMETRIC_HISTORY view. Oracle metrics serve as the foundation of the server-generated alerts feature, which is the next topic.

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