Data are written directly into such cubes bypassing UpdateRules. These are the remote cube types:. Upon execution the primary Fact table is displayed as an unexpanded node. Expand the node and see the screen. These are the tables we can see under expanded node:.
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Data are written directly into such cubes bypassing UpdateRules. These are the remote cube types:. Upon execution the primary Fact table is displayed as an unexpanded node. Expand the node and see the screen. These are the tables we can see under expanded node:. InfoCube can be partitioned on a time slice like Time Characteristics as below.
DataTarget level. At an instance we can partition a dataset using only one type among the above two criteria: In order to make partition, at least one of the two InfoObjects must be contained in the InfoCube.
You can set the valuerange yourself. So how many partitions are created after partitioning? You can also determine how many partitions are created as a maximum on the database for the fact table of the InfoCube. You choose 30 as the maximum number of partitions.
The performance gain is only gained for the partitioned InfoCube if the time dimension of the InfoCube is consistent. Note: You can only change the value range when the InfoCube does not contain any data. Partition Errors:. F fact tables of partitioned InfoCube have partitions that are empty, or the empty partitions do not have a corresponding entry in the related package dimension.
The empty partitions of the f fact table are reported. In addition, the system issues an information manage. If there is no corresponding entry for a partition in the InfoPackage dim table orphaned.
When you compressed the affected InfoCube, a database error occurred in drop partition, after the actual compression. However, this error was not reported to the application. The application thinks that the data in the InfoCube is correct, the data of the affected requests or partitions is not displayed in the reporting because they do not have a corresponding entry in the package dimension.
The user defined partition is only affecting the compressed E-Fact Table. Reconstruction of a cube is a more common requirement and is required when:.
Errors occur only due to document postings made during reconstruction run, which displays incorrect values in BW, because the logic of before and After images are no longer match. Mandatory — User locks :. Depending on the selected update method, check below queues:. SM13 — serialized or un-serialized V3 update.
LBWQ — Delta queued. Start the reconstruction for the desired application. Below you can see various errors on reconstruction. ERROR When I completed reconstruction, Repeated documents are coming. Solution: The reconstruction programs write data additively into the set-up tables. If a document is entered twice from the reconstruction, it also appears twice in the set-up table.
Therefore, the reconstruction tables may contain the same data from your current reconstruction and from previous reconstruction runs for example, tests. Incorrect data in BW, for individual documents for a period of reconstruction run. Solution : Documents were posted during the reconstruction. Documents created during the reconstruction run then exist in the reconstruction tables as well as in the update queues. This results in the creation of duplicate data in BW.
Example: Document , quantity Data in the PSA:. Query result:. Documents that are changed during the reconstruction run display incorrect values in BW because the logic of the before and after images no longer match.
Example: Document , quantity 10, is changed to X delta, before image. After you perform the reconstruction and restart the update, you find duplicate documents in BW. The reconstruction ignores the data in the update queues. A newly-created document is in the update queue awaiting transmission into the delta queue.
However, the reconstruction also processes this document because its data is already in the document tables. Therefore, you can use the delta initialization or full upload to load the same document from the reconstruction and with the first delta after the reconstruction into BW.
The same as point 2; there, the document is in the update queue, here, it is in the delta queue. The reconstruction also ignores data in the delta queues. An updated document is in the delta queue awaiting transmission into BW. However, the reconstruction processes this document because its data is already contained in the document tables. Document data from time of the delta initialization request is missing from BW.
As a result, data from the update queue LBWQ or SM13 can be read while the data of the initialization request is being uploaded. However, since no delta queue yet exists in RSA7, there is no target for this data and it is lost. Rollup creates aggregates in an InfoCube whenever new data is loaded. Sales Cube has sales document number and usually the dimension size and the fact table size will be the same.
This avoids one lookup into dimension table. Thus dimension table is not created in this case. Saves space by not creating Dimension Table. High Cardinality Dimension is one that has several potential occurrences.
InfoCube Design techniques of helps us to reveal automatic changes in the InfoCube. What are InfoCubes? What is the structure of InfoCube? What are InfoCube types? Are the InfoCubes DataTargets? What are virtual Cubes Remote Cubes? How many Cubes you had designed? What are the advantages of InfoCube? Which cube do SAP implements? What are InfoCube tables? What are Sap Defined Dimensions? How many tables are formed when you activate the InfoCube structure?
What are the tools or utilities of an InfoCube? What is meant by table partitioning of an InfoCube? What is meant by Compression of an InfoCube. Do you go for partitioning or Compression? Advantages and Disadvantages of an InfoCube partitioning? Why do u go for partitioning? What is Repartitioning?
What are the types of Repartitioning? What is Compression? Why you go for Compression? What is Reconstruction? Why you go for Reconstruction? What are the mandatory steps to do effective error free reconstruction, while going Reconstruction? What are the errors occur during Reconstruction? What is Rollup of an InfoCube? How can you measure the InfoCube size?
What is Line Item Dimension? What is Degenerated Dimension? What is High Cardinality? What are the InfoCube design alternatives? Can you explain the alternative time dependent navigational attributes in InfoCube design? Can you explain the alternative dimension characteristics in InfoCube design? Can you explain the alternative time dependent entire hierarchies in InfoCube design?
How to Create a Complete Copy of a SAP BW 7.3 Dataflow [Tutorial]
Background: The dataflow in this case is the master dataflow template created for a real life project that contained the most important dataset table AFRU with some custom supporting tables for company operational cost reporting. Every possible field is included in this data model. In order to create other data models or more highly aggregated data models, a copy of this template data flow can be created and fields removed easily rather than adding. This is for one report and the other deliverables have already been developed. This method will avoid having to redesign all the existing reports and will prevent degradation of performance on those reports due to the additional data. Right click on the top object of the dataflow - in this case an InfoCube. The following screen appears prompting for the start object and dataflow direction.
INFOCUBES – ULTIMATE SAP BIW CONCEPTS EXPLAINATION
March 13, SAP has come up with enhanced functionalities for business warehousing. Infocube uses concept of star schema. Infocube is created using Characteristics and Key Figures. Characteristics are levels on which reporting has to be performed. For example, Product, Customer and Plant.
SAP BW - InfoCube
Database tables of InfoCubes often contain several million records, so database operations of any nature are time-consuming for these tables. For such cases, the partitioning of an InfoCube tables is a very effective option to improve performance. With portioning, the structure of a InfoCube table in database systems will basically be defined to use a partitioning field to physically divide it into several database areas tables, blocks, etc. Figure Partitioning Logic.