Basics of Cube Aggregates and Data Rollup


What are Dice Aggregates?


An combination is a materialized, summarized and condensed view of the info in an Data Dice. An combination preserve the dataset of an Data Dice redundantly and persistently.

  • Summarized and Condensed view refers back to the condensing of the actual fact desk of an Data dice to an combination desk.
  • An combination desk now not accommodates sure traits of the Data dice and has been condensed throughout attributes.

When We Create Mixture on Dice?

Fundamental function of utilizing aggregates is to make information extraction quicker.

After we entry the info steadily for reporting and now we have enormous quantity of information it takes extra time retrieve. If a question is steadily used for reporting and we would like efficiency enhancement then we use aggregates on information supply (at Data Dice).

  • Aggregation makes information condensed and summarized so you’ll be able to entry the info of an Data Dice rapidly when reporting.
  • New information is loaded at common interval (an outlined time) utilizing logical information packages (requests) in an combination. After this transaction, the brand new information is out there for rolling up in reporting.
  • Aggregates are used once we typically use navigational attributes in queries or we would like aggregation as much as particular hierarchy ranges for attribute hierarchies. Each time-dependent attributes and time-dependent hierarchies can be utilized in aggregates.
  • Word:
  1. To search out our queries steadily used and taking extra time we will examine RSDDSTAT_OLAP desk (TCODE SE11).
  2. You should utilize Desk RSDCUBE to find out the Data Dice assigned to the combination utilizing combination id (6digit).


  • The Data Dice for which we’re creating combination have to be in lively state and there shouldn’t be any combination with identical set of attributes for that Data Dice. Each combination have to be distinctive.
  • If in case you have created aggregates for an Data Dice and entered information for them, the OLAP processor mechanically accesses these aggregates. When navigating, the completely different outcomes are constant. The combination is clear for the tip person.
  • If you wish to use system suggest aggregates, after which you need to create at the very least one question for the chosen Data Dice. The required aggregates might be proposed whenever you begin the queries and navigate in them.

Steps to create Mixture

  • Go to TCODE RSA1 and choose the InfoCube through which you need to create combination and choose Preserve Aggregates possibility.

  • When first time we create an combination for an Data Dice it asks for kind of combination.

a. Generate proposals

  • The system proposes appropriate aggregates. The Specify Statistics Knowledge Analysis dialog field seems.
  • Enter Run time, from date and thus far particulars & Select Subsequent.
  • It will deliver you to the Preserve Aggregates display .The system shows the proposed aggregates in the best space of the Aggregates display. 

b. Create your self

  • It will deliver you to the Preserve Mixture display.

    • Word : Aggregates are all the time construct on Traits not for key figures .
    • Drag all attribute you need to embody in Mixture to write down aspect window pane. You may add traits one after the other as nicely. Following display will seem.

    • If you’ll choose later for activation of combination following display will seem the place you can provide date and time in response to your requirement.

    • After activation combination will present you file out there for aggregation ,summarized file depend ,final roll up ,final used (in question) and so forth. particulars .

    This display will provide you with following data additionally:

    • Hierarchy and hierarchy degree fields are used for aggregates on hierarchies.
    • Valuation column will present ‘–‘and ‘+’ signal:
    1. The bigger the variety of minus indicators, the more severe is the analysis of the combination, “—–” means: The combination can presumably be deleted.
    2. The bigger the variety of plus indicators, the higher is the analysis of the combination, “+++++” means: The combination may make a number of sense.
    • Data will inform about variety of data within the crammed combination (dimension of the combination).
    • Data Summarized (imply worth) will inform about variety of data learn from supply with the intention to create a file within the combination. This exhibits high quality of the combination. Giant worth present higher compression (higher high quality) .Whether it is 1 the combination is a replica of the Data Dice and must be deleted.
    • Utilization exhibits how typically has the combination been used for Reporting in queries?
    • Final Used exhibits when was the combination final used for Reporting? If an combination has not been used for a very long time, it must be deactivated or deleted.

    In an effort to improve the load efficiency you’ll be able to observe the under pointers:

    1. Delete indexes earlier than loading. It will speed up the loading course of.
    2. Take into account rising the info packet dimension
    . Un examine or take away the Bex reporting examine field if the DSO just isn’t used for reporting
    . If you’re utilizing abap code within the routines then optimize the code. it will improve the load efficiency
    . Un examine the SID era examine field
    . Write optimized DSO are really useful for big set of information data since there is no such thing as a SID era in case of write optimized DSO.This improves the efficiency throughout information load.

    Steps earlier than utilizing an Mixture

    • To make use of an combination for an Data Dice when executing a question, we should first activate it after which fill it with information.
    • To make use of an present combination choose the combination that you just need to activate and select Activate and Fill. The system will create an lively model of the combination.
    • As soon as the combination is lively you need to set off the motion to fill the combination with information.
    • The lively combination that’s crammed with information can be utilized for reporting. If the combination accommodates information that’s to be evaluated by a question then the question information will mechanically come from the combination.
    • After we create a brand new combination and activate it preliminary filling of combination desk is mechanically achieved.

    Rolling Up Knowledge into an Mixture

    a. ROLL UP

      • If new information packages or requests are loaded into the Data Dice, they don’t seem to be instantly out there for Reporting through an combination. To supply the combination with the brand new information from the Data Dice, we have to load the info into the combination tables at a time which we will set. This course of is named ROLL UP.

      b. Steps of rolling up new requests

        • Within the Data Dice upkeep you’ll be able to set how the info packages must be rolled up into the combination for every Data Dice.
        • Within the context menu of the required Data Dice choose Handle. The Data Supplier Administration window seems. Within the Handle Knowledge Targets display choose tab Rollup.

          • Right here from choice button you’ll be able to set date and time of rollup.

            • You may set an occasion after aggregation and likewise create a course of to run the job periodically. Selective request might be combination by offering request id.
            • Request might be rolled up based mostly on no of days.


              • After rollup you’ll be able to see the examine sign up handle tab. Choosing a request for rollup can even rollup all earlier requests loaded earlier than that however not the brand new one .


              Ranges of Aggregation

              • Aggregation degree signifies the diploma of element to which the info of the underlying Data dice is compressed and have to be assigned to every element of an combination (traits, navigation attributes, hierarchies).

              Aggregation degree might be

                        By default, the system aggregates in response to the values of the chosen objects:

              • ‘*’ All attribute values
              • ‘H’ Hierarchy degree
              • ‘F’ Fastened worth

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