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Oracle DBAs traditionally have needed to maintain special database tables to collect historical performance data. The AWR automatically collects performance statistics for you and maintains historical data for analysis. You can view the data in the snapshots with the help of the V$ views or create reports to examine the data in detail. Various database components and features use the data from these AWR snapshots to monitor and diagnose performance issues. For example, as you saw in 17, the ADDM relies on these snapshots for the diagnosis of performance problems. In addition, the SQL Tuning Advisor, the Undo Advisor, and the Segment Advisor all use AWR data.

The AWR facility collects a large number of performance statistics, including the following: Base statistics that are also part of the V$SYSSTAT and V$SESSSTAT views SQL statistics that aid in the identification of resource-intensive SQL statements Database object-usage statistics that inform you about how the database is currently accessing various objects Time-model statistics, which tell you how much time each database activity is taking Wait statistics, which provide information about session waits (In previous versions, you needed to join the V$SESSION view with the V$SESSION_WAIT view to gather information on session waits; now several new columns have been added to the V$SESSION view, so you can query the view directly.) ASH statistics, which are flushed to the AWR on a regular basis Database feature-usage statistics that tell you whether and how intensively your database is utilizing various features The results of various management advisory sessions, such as the Segment Advisor and the SQL Access Advisor Operating system statistics such as disk I/O and memory usage within the database As explained in 17, the ADDM will automatically run after each AWR snapshot, analyzing the time period between the last two snapshots. By comparing the difference in statistics between snapshots, for example, the ADDM knows which SQL statements are contributing significantly to your system load. It then focuses on these SQL statements.

Figure 5-40. The type space of JMS message payloads The sender creates a message that implements one of the interfaces and passes it to the JMS server in a method call. The message is serialized and sent over the wire to the server. The JMS spec doesn t define wire-specific protocols, so individual JMS providers can use any protocol they wish. Receivers can use run-time type identification (with the Java keyword instanceof) to determine the type of arriving messages.

It is important to understand that the AWR isn t a permanent repository for Oracle performance statistics. By default, the AWR captures performance statistics on an hourly basis and retains them for eight days. Oracle estimates that with about ten concurrent sessions, these default settings would require about 200 300MB of storage space for AWR data. The space used by AWR depends on the following: Data-retention period: The longer the retention period, the more space is used. Snapshot interval: The more frequently the snapshots are taken, the more space is used. Number of active sessions: The higher the number of user sessions, the more data is collected by the AWR. By default, the AWR saves the data for a period of eight days, but you can modify this period. Oracle recommends that you retain the AWR data to cover at least one complete workload cycle.

Snapshots provide you values for key performance statistics at a given point in time. By comparing snapshots from different periods, you can compute the rate of change of a performance statistic. Most of the Oracle advisors depend on these AWR snapshots for their recommendations. Managing the AWR essentially involves managing the regular snapshots that AWR collects from your database. The default interval for snapshot collection is 60 minutes, and the minimum interval is 10 minutes. If you think this isn t an appropriate length of time for your purposes, you can easily change the default snapshot interval by changing the INTERVAL parameter.