Explanation for Aggregation and Disaggregation

Hi all
What is the use of Aggregation and Disaggregation in demand planning. Please share your knowledge with a real time example.
Regards,
a.fahrudeen

Aggregation is the automatic function by which key figure values on the lowest level of detail are summed at run time and displayed or planned on a high level; for example, if you display the forecasted demand for a region in the interactive planning table, what you see is the forecasted demand for all of the different sales channels, product families, brands, products, and customers in that region which the system has added together.
Disaggregation is the automatic function by which a key figure value on a high level is broken down to the detailed level; for example, if you forecast demand in a particular region, the system instantly splits up this number among the different sales channels, product families, brands, products, customers, and so on, in this region
Aggregation and disaggregation ensure a consistent planning approach throughout your organization. The sum of the details on the low level always equals the total on the high level. Key figure values are always saved at the lowest level of detail. If aggregates exist, the data is also saved on the aggregate level.
Check the OSS note 758618 for more idea........generally this functionality used in Macro to calculate the aggregrated quantity based on the keyfigure

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    | 0 | SELECT STATEMENT | | 3 | 384 | 14M (1)| 47:28:20 |
    | 1 | NESTED LOOPS SEMI | | 3 | 384 | 14M (1)| 47:28:20 |
    | 2 | NESTED LOOPS | | 10269 | 1133K| 14M (1)| 47:20:08 |
    | 3 | MERGE JOIN CARTESIAN | | 273M| 22G| 541K (1)| 01:48:20 |
    | 4 | NESTED LOOPS | | 6648 | 383K| 412 (0)| 00:00:05 |
    |* 5 | TABLE ACCESS BY INDEX ROWID | DM_SYSOBJECT_S | 6648 | 279K| 411 (0)| 00:00:05 |
    | 6 | INDEX FULL SCAN | D_1F01B3F180000109 | 26592 | | 5 (0)| 00:00:01 |
    |* 7 | INDEX UNIQUE SCAN | D_1F01B3F180000143 | 1 | 16 | 1 (0)| 00:00:01 |
    | 8 | BUFFER SORT | | 41076 | 1163K| 541K (1)| 01:48:20 |
    | 9 | TABLE ACCESS FULL | DM_FOLDER_R | 41076 | 1163K| 81 (0)| 00:00:01 |
    | 10 | TABLE ACCESS BY INDEX ROWID | DM_SYSOBJECT_R | 1 | 25 | 1 (0)| 00:00:01 |
    |* 11 | INDEX UNIQUE SCAN | D_1F01B3F18000010A | 1 | | 1 (0)| 00:00:01 |
    |* 12 | VIEW | VW_NSO_1 | 1 | 15 | 4 (0)| 00:00:01 |
    | 13 | NESTED LOOPS | | 2 | 182 | 4 (0)| 00:00:01 |
    | 14 | NESTED LOOPS | | 4 | 288 | 3 (0)| 00:00:01 |
    | 15 | NESTED LOOPS | | 1 | 38 | 2 (0)| 00:00:01 |
    |* 16 | INDEX UNIQUE SCAN | D_1F01B3F180000143 | 1 | 16 | 1 (0)| 00:00:01 |
    |* 17 | TABLE ACCESS BY INDEX ROWID| DM_SYSOBJECT_S | 1 | 22 | 1 (0)| 00:00:01 |
    |* 18 | INDEX UNIQUE SCAN | D_1F01B3F180000109 | 1 | | 1 (0)| 00:00:01 |
    | 19 | TABLE ACCESS BY INDEX ROWID | DM_FOLDER_R | 4 | 136 | 1 (0)| 00:00:01 |
    |* 20 | INDEX RANGE SCAN | D_1F01B3F180000144 | 4 | | 1 (0)| 00:00:01 |
    |* 21 | INDEX UNIQUE SCAN | D_1F01B3F18000010A | 1 | 19 | 1 (0)| 00:00:01 |
    Predicate Information (identified by operation id):
    5 - filter("RG_"."I_HAS_FOLDER"=1 AND "RG_"."I_IS_DELETED"=0)
    7 - access("RG_"."R_OBJECT_ID"="WQ_"."R_OBJECT_ID")
    11 - access("SG_"."R_OBJECT_ID"="XQ_"."R_OBJECT_ID" AND
    "SG_"."I_POSITION"="XQ_"."I_POSITION")
    filter("SG_"."R_OBJECT_ID"="RG_"."R_OBJECT_ID")
    12 - filter("RG_"."R_OBJECT_ID"="$nso_col_1")
    16 - access("WQ_"."R_OBJECT_ID"='0b01b3f18000b897')
    17 - filter("RG_"."A_IS_HIDDEN"=0 AND "RG_"."I_HAS_FOLDER"=1 AND "RG_"."I_IS_DELETED"=0)
    18 - access("RG_"."R_OBJECT_ID"='0b01b3f18000b897')
    20 - access("XQ_"."R_OBJECT_ID"='0b01b3f18000b897')
    21 - access("SG_"."R_OBJECT_ID"='0b01b3f18000b897' AND "SG_"."I_POSITION"="XQ_"."I_POSITION")
    Production Explan
    Execution Plan
    Plan hash value: 3553258581
    | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
    | 0 | SELECT STATEMENT | | 5 | 650 | 10 (20)| 00:00:01 |
    | 1 | SORT ORDER BY | | 5 | 650 | 10 (20)| 00:00:01 |
    | 2 | NESTED LOOPS | | 5 | 650 | 9 (12)| 00:00:01 |
    | 3 | NESTED LOOPS | | 9 | 936 | 8 (13)| 00:00:01 |
    | 4 | NESTED LOOPS | | 3 | 234 | 7 (15)| 00:00:01 |
    | 5 | NESTED LOOPS | | 3 | 186 | 6 (17)| 00:00:01 |
    | 6 | VIEW | VW_NSO_1 | 3 | 48 | 4 (0)| 00:00:01 |
    | 7 | HASH UNIQUE | | 3 | 279 | | |
    | 8 | NESTED LOOPS | | 3 | 279 | 4 (0)| 00:00:01 |
    | 9 | NESTED LOOPS | | 5 | 365 | 3 (0)| 00:00:01 |
    | 10 | NESTED LOOPS | | 1 | 38 | 2 (0)| 00:00:01 |
    |* 11 | INDEX UNIQUE SCAN | D_1F01B3F080000143 | 1 | 16 | 1 (0)| 00:00:01 |
    |* 12 | TABLE ACCESS BY INDEX ROWID| DM_SYSOBJECT_S | 1 | 22 | 1 (0)| 00:00:01 |
    |* 13 | INDEX UNIQUE SCAN | D_1F01B3F080000109 | 1 | | 1 (0)| 00:00:01 |
    | 14 | TABLE ACCESS BY INDEX ROWID | DM_FOLDER_R | 5 | 175 | 1 (0)| 00:00:01 |
    |* 15 | INDEX RANGE SCAN | DM_FOLDER_R_IND | 5 | | 1 (0)| 00:00:01 |
    |* 16 | INDEX UNIQUE SCAN | D_1F01B3F08000010A | 1 | 20 | 1 (0)| 00:00:01 |
    |* 17 | TABLE ACCESS BY INDEX ROWID | DM_SYSOBJECT_S | 1 | 46 | 1 (0)| 00:00:01 |
    |* 18 | INDEX UNIQUE SCAN | D_1F01B3F080000109 | 1 | | 1 (0)| 00:00:01 |
    |* 19 | INDEX UNIQUE SCAN | D_1F01B3F080000143 | 1 | 16 | 1 (0)| 00:00:01 |
    | 20 | TABLE ACCESS BY INDEX ROWID | DM_SYSOBJECT_R | 3 | 78 | 1 (0)| 00:00:01 |
    |* 21 | INDEX RANGE SCAN | D_1F01B3F08000010A | 3 | | 1 (0)| 00:00:01 |
    | 22 | TABLE ACCESS BY INDEX ROWID | DM_FOLDER_R | 1 | 26 | 1 (0)| 00:00:01 |
    |* 23 | INDEX UNIQUE SCAN | D_1F01B3F080000144 | 1 | | 1 (0)| 00:00:01 |
    Predicate Information (identified by operation id):
    11 - access("TGB_"."R_OBJECT_ID"='0b01b3f080011726')
    12 - filter("GJ_"."A_IS_HIDDEN"=0 AND "GJ_"."I_HAS_FOLDER"=1 AND "GJ_"."I_IS_DELETED"=0)
    13 - access("GJ_"."R_OBJECT_ID"='0b01b3f080011726')
    15 - access("VGB_"."R_OBJECT_ID"='0b01b3f080011726')
    16 - access("IJ_"."R_OBJECT_ID"='0b01b3f080011726' AND "IJ_"."I_POSITION"="VGB_"."I_POSITION")
    17 - filter("GJ_"."I_HAS_FOLDER"=1 AND "GJ_"."I_IS_DELETED"=0)
    18 - access("GJ_"."R_OBJECT_ID"="$nso_col_1")
    19 - access("GJ_"."R_OBJECT_ID"="TGB_"."R_OBJECT_ID")
    21 - access("IJ_"."R_OBJECT_ID"="GJ_"."R_OBJECT_ID")
    23 - access("IJ_"."R_OBJECT_ID"="VGB_"."R_OBJECT_ID" AND "IJ_"."I_POSITION"="VGB_"."I_POSITION")
    Message was edited by:
    user624068

  • Hyper-V Resource Pools for Memory and CPU

    Hi all,
    I'm trying to understand the concepts and details of resource pools in Hyper-V in Windows Server 2012. It seems as if there is almost no documentation on all that. Perhaps somebody can support me here, maybe I've not seen some docs yet.
    So far, I learned that resource pools in their current implementation serve mainly for metering purposes. You can create pools per tenant and then group VM resources into those pools to facilitate resource metering per tenant. That is, you enable metering
    once per pool and get all the data necessary to bill that one customer for all their resources (without metering individual VMs). Is that correct?
    Furthermore, it seems to me that an ethernet pool goes one step further by providing an abstraction level for virtual switches. As far as I've understood you can add multiple vSwitches to a pool and then connect a VM to the pool. Hyper-V then decides which
    actual switch to use. This may be handy in a multi-host environment if vSwitches on different hosts use different names although they connect to the same network. Is that correct?
    So - talking about actually managing that stuff I've learned how to create a pool and how to add VHD locations and virtual switches to a pool. Enabling resource metering for a pool then collects usage data from all the resources inside that pool.
    But now: I can create a pool for memory and a pool for CPU. But I cannot add resources to those. Neither can I add a complete VM to a pool. Now I'm launching a VM that belongs to a customer whose resources I'm metering. How will Hyper-V know that it's
    supposed to collect data on CPU and memory usage for that VM?
    Am I missing something here? Or is pool-based metering only good for ethernet and VHD resources, and CPU and memory still need to be metered per VM?
    Thanks for clarification,
    Nils
    Nils Kaczenski
    MVP Directory Services
    Hannover, Germany

    Thank you for the links. I already knew those, and unfortunately they are not matching my question. Two of them are about Windows Server 2008/R2, and one only lists a WMI interface. What I'm after is a new feature in Windows Server 2012, and I need conceptional
    information.
    Thanks for the research anyway. I appreciate that a lot!
    In the meantime I've gotten quite far in my own research. See my entry above of January 7th. Some additions:
    In Windows Server 2012, Hyper-V resource pools are mainly for metering purposes. You cannot compare them to resource pools in VMware.
    A resource pool in Hyper-V (2012) facilitates resource metering and billing for VM usage especially in hosting scenarios. You can either measure resource usage for single VMs, or you can group existing resources (such as CPU power, RAM, virtual hard disk
    storage, Ethernet traffic) into pools. Those pools will mostly be assigned to one customer each. That way you can bill the customer for their resource usage in a given time period by just querying the customer's pool.
    Metering only collects aggregated data with one value per resource (i.e. overall CPU usage, maximum VHD storage, summed Ethernet traffic and so on). You can control the time period by explicitly resetting the counter at any given time (a day, a week, a
    month or what you like).
    There is no detailed data. The aggregate values serve as a basis for billing, not as monitoring data. If you need detailed monitoring data use Performance Monitor.
    There is currently only one type of resource pool that adds an abstraction layer to a virtualization farm, and that is the Ethernet type. You can use that type for metering, but you can also use it to group a number of virtual switches (that connect to
    the same network segment) and then a VM connected to that pool will automatically use an appropriate virtual switch from the pool. You need no longer worry about virtual switch names across multiple hosts as long as all equivalent virtual switches are
    added to the pool.
    While you can manage two types of pool resources in the GUI (VHD pools and Ethernet pools) you should only manage resource pools via PowerShell. Only there will you be able to control what happens. And only PowerShell provides a means to start, stop, and
    reset metering and query metering data.
    The process to use resource pools in Hyper-V (2012) in short:
    First create a new pool via PowerShell (New-VMResourcePool). (In case of a VHD pool you must specify the VHD storage paths to add to the pool in the moment you create the pool.)
    In case of an Ethernet pool add existing virtual switches to the pool (Add-VMSwitch).
    Reconfigure existing VMs that you want to measure so that they use resources from the pool. The PowerShell
    Set-VM* commands accept a parameter -ResourcePoolName to do that. Example:
    Set-VMMemory -VMName APP-02 -ResourcePoolName MyPool1
    Start measuring with Enable-VMResourceMetering.
    Query collected data as often as you need with Measure-VMResourcePool.
    Note that you should specify the pool resource type in the command to get reliable data (see my post above, Jan 7th).
    When a metering period (such as a week or a month) has passed, reset the counter to zero with
    Reset-VMResourceMetering.
    Hope that helps. I consider this the answer to my own question. ;)
    Here's some links I collected:
    http://itproctology.blogspot.ca/2012/12/hyper-v-resource-pool-introduction.html
    http://www.ms4u.info/2012/12/configure-ethernet-resource-pool-in.html
    http://blogs.technet.com/b/virtualization/archive/2012/08/16/introduction-to-resource-metering.aspx
    http://social.technet.microsoft.com/Forums/en-US/winserverhyperv/thread/1ce4e2b2-8fdd-4f16-8ab6-e1e1da6d07e3
    Best wishes, Nils
    Nils Kaczenski
    MVP Directory Services
    Hannover, Germany

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