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Setting the UNDO_RETENTION parameter to zero or just leaving it out of your SPFILE will instruct Oracle to perform proactive automatic undo retention tuning, thus reducing the occurrence of the wellknown snapshot too old errors that lead to the failure of many an overnight production batch job. Under automatic undo retention tuning, Oracle will figure out the ideal retention period for undo data, based on the length of the transactions and other related factors. I discuss automatic undo retention tuning in 8.
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Oracle Database 11g a automatically gathers statistics for the cost-based optimizer through a regularly scheduled job. The job gathers statistics on all objects in the database that have missing or stale statistics. Oracle creates this job automatically at database creation time, and the Scheduler automatically manages it. 19 discusses the automatic collection of optimizer statistics.
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Automatic Storage Management is a way of organizing your storage that integrates your file system with a volume manager that s designed for Oracle files. ASM divides Oracle datafiles into extents, which it distributes evenly across the disk system. ASM automatically redistributes I/O load across all available disks whenever storage configuration changes, avoiding manual disk tuning. ASM also provides mirroring and striping, thus enhancing protection and performance, as in RAID systems. I discuss ASM in detail in 17.
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In Oracle Database 11g, the database runs the SQL Tuning Advisor as part of its nightly maintenance tasks. The Automatic SQL Tuning Advisor makes recommendations to improve poorly performing SQL queries. I discuss automatic SQL tuning in 19.
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CHAPTER 5 ORAC LE DATABA SE 1 1G AR CHITECTURE
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In order to be self-tuning and self-managing, a database must have the ability to automatically learn how it is being used. To this end, Oracle provides a common manageability infrastructure, which captures workload information and uses it to make sophisticated self-management decisions. The heart of the manageability infrastructure is the new Automatic Workload Repository, or AWR, which serves as a repository for all the other server components that aid automatic management of the database. Oracle has built instrumentation into the various layers of its technology stack to capture the metadata that helps in diagnosing performance. It stores this data in the AWR and utilizes a comprehensive suite of management advisors to provide guidance on optimizing database operations. In the following sections, I briefly explain the various components of the common manageability infrastructure of Oracle Database 10g. You ll fully explore all of these in later chapters.
Automatic Workload Repository
The AWR plays the role of the data warehouse of the database, and it is the basis for most of Oracle s self-management functionality. The AWR collects and maintains performance statistics for problemdetection and self-tuning purposes. By default, every 60 minutes the database collects statistical information from the SGA and stores it in the AWR, in the form of snapshots. Several database components, such as the ADDM and other management advisors, use the AWR data to detect problems and for tuning the database. Like the ADDM, the AWR is automatically active upon starting the instance. You ll learn more about the AWR in 17.
Active Session History
The database samples all active sessions every second, and the session information is stored in a circular buffer in SGA. A session that s either waiting for a nonidle event or was on the CPU is considered an active session. Even though the ADDM provides you with detailed instance information by periodically analyzing the AWR data, you are at a loss if you want to know what s happened in the database in a recent time period (such as in the past five minutes). Active Session History and its related historical views provide you with insight into current activity in the database. 19 discusses ASH in detail.
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