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Using job classes helps you prioritize jobs by allocating resources differently among various groups of jobs. The scheduler associates each job class with a resource consumer group, which lets the Scheduler determine the appropriate resource allocation for each job class. The ability to associate job classes with the resource consumer groups created by the Database Resource Manager helps in prioritizing jobs.

Although dedicated primary timeservers can support thousands of clients, allowing for the flattening of the NTP hierarchy (and topology!), with multipurpose NTP servers (devices such as routers, switches, and servers, whose primary function is not NTP synchronization) it s best to keep the number of clients to a single server at no more than a few hundred..

All jobs must belong to a job class. There is a default job class, DEFAULT_JOB_CLASS, to which all jobs will belong by default, if they aren t assigned to any other job class. A job class will be associated with the DEFAULT_ CONSUMER_GROUP by default if you don t expressly assign it to a specific resource consumer group.

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All job classes are created in the SYS schema, regardless of which user creates it. The following example uses the CREATE_JOB_CLASS procedure to create a new job class called ADMIN_JOBS. SQL> BEGIN DBMS_SCHEDULER.CREATE_JOB_CLASS( JOB_CLASS_NAME => 'admin_jobs' RESOURCE_CONSUMER_GROUP => 'admin_group', LOGGING_LEVEL => dbms_scheduler.logging_runs LOG_HISTORY => 15); END; These are the attributes in the preceding example: JOB_CLASS_NAME: This is the name of the job class. RESOURCE_CONSUMER_GROUP: This attribute specifies that all jobs that are members of this class will be assigned to the ADMIN_GROUP resource consumer group. LOGGING_LEVEL: This attribute can take the following three values: DBMS_SCHEDULER.LOGGING_OFF: Specifies no logging of any kind for the jobs in the job class DBMS_SCHEDULER.LOGGING_RUNS: Specifies detailed log entries for each run of a job DBMS_SCHEDULER.LOGGING_FULL: Specifies detailed entries for each run of a job in the job class, as well as for all other operations on the jobs, including the creation, dropping, altering, enabling, or disabling of jobs

Table 5-4. Comparing Standard Update Batching with Oracle Update Batching for Inserting 10,000 Records

The stripes on RAID 4 systems are done in much larger chunks than in RAID 3 systems, which allows the system to process multiple I/O requests simultaneously. In RAID 4 systems, the individual disks can be independently accessed, unlike in RAID 3 systems, which leads to much higher performance when reading data from the disks. Writes are a different story, however, under this setup. Every time you need to perform a write operation, the parity data for the relevant disk must be updated before the new data can be written. Thus, writes are very slow, and the parity disk could become a bottleneck.

Under this disk array setup, both the data and the parity information are interleaved across the disk array. Writes under RAID 5 tend to be slower, but not as slow as under RAID 4 systems, because it can handle multiple concurrent write requests. Several vendors have improved the write performance by using special techniques, such as using nonvolatile memory for logging the writes. RAID 5 gives you virtually all the benefits of striping (high read rates), while providing the redundancy needed for reliability, which RAID 0 striping does not offer.

1 5 10 30 50 75 100 150 200 300 400 500 750 1,000 2,000 3,000 5,000 10,000

These RAID systems provide the benefits of striped and mirrored disks. They tend to achieve a high degree of performance because of the striping, while offering high reliability due to the fact that all disks are mirrored (duplicated). You just have to be prepared to request double the number of disks you actually need for your data, because you are mirroring all the disks.

Table 3-6 outlines the basic conclusions you can draw about the various RAID systems described in the preceding sections. What s the best strategy in terms of disk configuration You, the DBA, and your system administrator should discuss your data needs, management s business objectives, the impact and cost of downtime, and available resources. The more complex the configuration, the more you need to spend on hardware, software, and training.

Not very reliable (no redundancy). Expensive, and all writes must be duplicated. Expensive and wastes a lot of space for overhead; it is not commercially viable because of special disk requirements.

Standard Update Batching (Milliseconds)

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