If there is a cube with uncompressed requests and 10 dimensions (every dimension brings with it a local bitmap index) than there are. step-by-step process to create Re-Partitioning of Info Cube in SAP-BI. (1). students. Created by KUNCHAM Software Solutions Pvt Ltd. Last updated 4/. Sap BW Info cube partitioning. 1. Info cube partitioning InfoCube Partitioning So what is partitioning and why do it? You use partitioning to.
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Partitioning (SAP Library – Business Intelligence)
If there is a cube with uncompressed requests and 10 dimensions every dimension brings with it a local bitmap index than there are partitions for the table itself and 10 x index partitions which infocubr a total of Once the value range is updated, an optional parameter called maximum no of partitions can be included.
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Therefore we recommend that you create a partition for a year, for example, and that you repartition the InfoProvider after this time.
Clicking on OK leads to the following screen: And at some point compression is not possible in a reasonable amount of time anymore, because deleting a partition takes so long that the whole workflow on that cube and others later up the chain is not fitting into the allocated timeframes.
If a statistics update will be done, all these The partitions on the database actually remain transparent to the user. November 29, at 9: Search or use sapp and down arrow keys to select an item.
The following infocubw shows two partitions created based on the company code and the 0calmonth. Hence include either of these time characteristic in the InfoCube to be partitioned under the Time dimension as per the business requirement.
SAP Note includes more comprehensive information on this. December 2, at 6: Hope they will be helpful too.
SAP BI InfoCube Partitioning | SAP Blogs
However, following points should be noted: I was not aware of this semantically partitioned concept. Let us suppose that the time characteristic used is 0Calmonth and the range of month given is This screen shows the complete data flow of the SPO: In situations with a high load frequency it will most certainly run into problems in bii area sooner or later.
Thanks Saurabh for sharing this. Resulting from the value range: When the read access to the partitioning characteristic is limited, a number of partitions may be possibly excluded from the read process, so the data base will be smaller and comprehensive data will be found and read significantly faster.
But I have jnfocube quetion: When the number of partitions is low, the user will not experience trouble from this direction at the beginning. The following is the first screen that you get when you create SPO based on a cube: This separation improves system performance when you analyze data delete data from the InfoProvider. Customers trying any other tricks to achieve this, do this on their own risk pqrtitioning definitely should try their tricks before applying them to production and check whether they still see their data afterwards.
When you click on the create DTP, you get the following screen, this can be used to create a new template for the DTP or use and existing one.
You must be Logged on to comment or reply to a post. At least one of the two InfoObjects must be contained in the InfoProvider. June 23, at 8: After selecting the required time characteristic and clicking ok, you get the following screen asking indocube enter the time interval.
If you choose 30 as the maximum number of partitions, resulting from the value range of 74 single values As shown abovethe system groups three months at a time together in a partition meaning that a partition corresponds to exactly one quarter. Where necessary, limit the bo number of partitions, the SAP recommended optimal maximum number of partitions isso consider this when planning the range spilt.
Two extra partitions are created to accommodate the data which is less than the time selection given and the data which partitionong beyond the given time selection.
Partitioning in BW
If data pargitioning already been loaded to the InfoProvider, you have to perform repartitioning. July 8, at 9: Since there is a tendency to partition for a longer period here I think it is reasonable to years with 12 partitions each for a total of partitions on the E facttable we generally see more partitions on an E as compared to an F table. We select the billing document number as the portioning criteria: Click on OK to further come to this screen and continue creating transformation: Transformation created for this SPO: Repartitioning can be useful if you have already loaded data to your InfoCube and you have loaded more data into your InfoCube than you had planned when you partitioned it, you did not choose a long enough period of time for partitioning or some partitions contain no data or little data due to data archiving over a period of time.
But it will run into problems randomly at first, when the number of partitionkng increase, and permanently, after the number of partitions have exceeded some not specifiable, system and context dependent threshold. This has also been taken up towards the end of the document. When you activate the InfoProvider, the system creates the table on the database with one of the number of partitions corresponding to the value range.
Database tables of InfoCubes often contain several million records, so database operations of any nature are time-consuming for these tables. On the F table, every partition must be accessed for every query because there is no effective restriction on the P-dimension partitioning key on partjtioning F facttable, and due to load performance the indexes on the F table are all local indexes.