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Relative functions navigate horizontally in a level to retrieve members in the dimensional structure Relative functions include currentMember, lag, lead, nextMember, and prevMember These functions are not bound to the parent-child relationships of the hierarchy as the family functions are Lag and lead functions retrieve sibling members that are a specified number of places before (lag) or after (lead) the selected member The number of positions before or after the selected member is specified by the report author in the expression If you applied a lead function to the member, such as 2005/Apr, and you entered 2 in the lead function expression, it returns the member 2005/Jun: lead([2005/Apr],2) It does not make sense to use the lag function on member 2005/Apr because it is the first child element at that level, and there are no members before it to retrieve The prevMember function and nextMember function behave similarly to lead and lag functions, but they can retrieve only the previous or next sibling member This means that you are not required to enter a number of places to move in their expressions

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The performance metrics of the current system that helps size the Database Machine are mainly the I/O per second (IOPS) and the MBs per second (MBPS) The IOPS are typically used for sizing OLTP workloads, whereas the MBPS measurement is used for sizing data warehousing workloads The Database Machine has sufficient CPU cores to handle all types of real-world workloads; however, if for any reason the application loads demand the need of more cores than what come preinstalled in the flavor of the machine, then the CPU sizing should also be taken into consideration This might be the case with applications that perform extensive processing on the database using PL/SQL or server-side programs, or databases that have ongoing highvolume data loads coming in through the InfiniBand network Data loads coming in through high-speed networks are generally known to bottleneck the CPU Keep in mind that when you size for all these metrics, you need to match up with the flavor of the Database Machine that will satisfy all four metrics we discussed so far (not just one or two), mainly the IOPS, MBPS, CPU, and storage requirements For example, based on your IOPS, storage capacity, and CPU requirements, you have determined that a Database Machine X2-2 Half Rack is enough to cater to your needs However, if you determine that in order to satisfy the MBPS requirements you need an X2-2 Full Rack, then the choice should be to go with the Full Rack and not the Half Rack Considerations for choosing a High Performance SAS or a High Capacity SAS based Database Machine will depend on the performance specifications of the drives and the storage requirements of the database The performance of an HP-SAS drive is, for the most part, twice as fast as an HC-SAS drive, although your mileage may vary, based on the particulars of your workload Remember that there is more to I/O performance than simply the seek times to retrieve data from disks Use Table A-2 from the appendix to match up your IOPS, MBPS, and CPUs to come up with the right-sized Database Machine to fit your performance requirements The last step will be to compare the Database Machine configuration you select when sizing for capacity, with the configuration needed to achieve the required performance, and use the bigger machine of the two to provide you both the performance and the capacity that will be required from the Database Machine.

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