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Cache Fusion uses a global service, where the location of every data block in every cached is tracked The tracking is spread over all the nodes; this tracking information is what has to be rebuilt in the event of a node failure RAC uses some intelligence in assigning ownership of a particular block If the block is usually used on a particular instance, that instance is given the responsibility of tracking that block, cutting down on the interconnect traffic and the transfer of blocks between nodes, reducing any potential bottlenecks caused by flooding of the interconnect There may be times when you want to limit the way that a particular application or instance uses the resources of the entire cluster, and RAC provides a number of options, which are described in the next section

The Decimal data type provides more precision and is much less subject to rounding errors than the Single and Double data type The Decimal data can store a whole number; the largest it can store is 79,228,162,514,264,337,593,543,950,335,and the smallest is -79,228,162,514,264,337,593,543,950,335 The Decimal data type can also store up to 28 decimal places The largest of these is 79228162514264337593543950335

2 Select the Insert Property Only option to insert the attribute into the report 3 Click OK 4 Run the report The attribute that you added displays next to the member heading to which it belongs The following example shows a report with the Product line Category Code attribute The attribute displays to the right of the product name under the Revenue column heading

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describes a member s position in a dimensional structure and is referenced in the expression definition If a MUN is changed or altered, then any report that references that MUN will no longer render See the Cognos documentation for information on how to monitor this; it is something that you can avoid

Did you notice something that was not mentioned in the discussion of Cache Fusion In the first section in this chapter, you read that the smallest unit of standard data movement is the data block and that a data block can (and usually does) contain more than one row So what happens if one row in a block is being modified by a transaction on one instance and another instance wants to modify a different row in the same block Good question, and one that Oracle, unsurprisingly, has covered A single row in a data block can be part of an active write transaction and have an exclusive lock on that row If the block containing that row is requested for a write operation on another row in the block, the block is sent to the requesting node, as expected However, the node that originates the transfer makes a copy of the block, called a past image, which can be used for instance recovery in the event of a failure or to construct a consistent image of the row, part of the overall operations used to implement multiversion read consistency When the row is committed on the requesting node, the block is marked as dirty and eventually written to the database Once this version of the block is safely part of the database, the past image is no longer needed Metalink (MOS) note 1394361 explains how instances interact in different locking scenarios in greater detail, if you are interested

Part III:

The Boolean data type is used to store a Boolean value, which is described previously in this chapter These values are either True or False

2:

Dimensional data offers an extension to relational data structures, providing several ways to view and manipulate data It is important that you understand how dimensional data structures behave and how to use the tools in Report Studio to manipulate these structures This section explains how to use Report Studio to focus dimensional data to meet the requirements of your reports

Dimensional queries return all members, whether they have measure values or not Therefore, large dimensional structures without proper filtering can lead to large, inefficient reports The key to creating efficient reports is limiting the items rendered in the queries to ensure that users get only the data they need to meet the report s requirements

Up to this point in the discussion of RAC, we have been looking at the architecture of RAC as if the cluster were supporting a single database In fact, RAC is frequently used as a consolidation platform, supporting many databases and instances Once you start supporting multiple databases on a RAC architecture, you may find that you want to allocate the computing resources to appropriately serve the different uses of the database or even modify those allocations, depending on a variety of factors This section will describe some of the RAC-centric ways to accomplish this task

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