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With the previous brief description, you understand the basic architecture of how plans are defined for use by the I/O Resource Manager The illustration shown in Figure 3-6 gives you some idea of how the various levels of the plan work together The plan is shown for a single Exadata cell, which is labeled Cell 1 For the sake of clarity, each section of the plan only has a single level
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However, please remember the way priority levels work only the I/O resources not consumed by a superior level are made available to a lower level, where directives can further divide the allocation You can see that there are directives dividing I/O requests between two categories, simply named High and Low, with 70 percent and 30 percent allocation, respectively Consumer groups 1, 2, 3, and 4 are part of the High category, with consumer groups 5, 6, 7, and 8 comprising the Low category There are interdatabase directives that divide the I/O bandwidth between Database 1, which gets 60 percent of the resources, and Database 2, which gets the remaining 40 percent In practice, this means that I/O from Database 1 for the High category will get 42 percent of I/O bandwidth in times of oversubscription, since this is 60 percent of the 70 percent given to that category Similarly, Database 1 for the Low category will get 18 percent of the I/O bandwidth, since this is 60 percent of the 30 percent allotted for that category
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There are also directives for intradatabase allocations, which further divide the I/O bandwidth Consumer group 1 gets 50 percent of the I/O for Database 1, which works out to 21 percent of the overall I/O available 50 percent (the intradatabase percentage) of the 42 percent available for Database 1 in the High category Consumer group 5, which gets 75 percent of the allocation for Database 1 in the Low category, ends up with 135 percent, 75 percent of the 18 percent for that category and database You can start to see how flexible I/O Resource Management can be, especially when you couple it with the fact that resource plans can be dynamically changed But you may be wondering how the Exadata Storage Server Software is able to implement these potentially complex scenarios It really is not that hard, as you can see in Figure 3-7 You can see that the end of the line is a simple queue used to grab I/O requests The disk simply takes requests off the disk queue Upstream from this queue are a number of separate queues, one for each consumer group The percentage allocations assigned by the different directives in the plan are used to control which queue is used by IORM next So if a queue for consumer group 1 calls for the group to get 80 percent of the requests for Database 1, IORM would go to that queue first 80 percent of the time At the end of the line, the plan directs the I/O Resource Manager how to prioritize requests for each database IORM, like other aspects of the Exadata Storage Server Software stack, also makes sure that essential operations proceed without interruption Write operations for the redo log, essential in completing write operations with integrity, and control file I/Os always take top priority, regardless of the resource plan You can either assign DBWR (database writer) operations to a specific consumer group or leave them in a default group You can also
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assign a priority for fast file creation operations, described earlier, as part of the overall plan The Exadata Storage Server provides a rich set of metrics, which can give you a great deal of information about the operation of IORM at the category, database, or consumer group level For more details on these tracking options, please refer to the Exadata documentation
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