27-06-2012, 04:16 PM
Understanding DSO (DataStore Object) : Write-Optimized DSO
Write-Optimized DSO.pdf (Size: 334.29 KB / Downloads: 97)
DataStore Object
Definition
A DataStore object serves as a storage location for consolidated and cleansed transaction data or master data on a document (atomic) level.
This data can be evaluated using a BEx query.
A DataStore object contains key fields (such as document number, document item) and data fields that, in addition to key figures, can also contain character fields (such as order status, customer). The data from a DataStore object can be updated with a delta update into InfoCubes (standard) and/or other DataStore objects or master data tables (attributes or texts) in the same system or across different systems.
Unlike multidimensional data storage using InfoCubes, the data in DataStore objects is stored in transparent, flat database tables. The system does not create fact tables or dimension tables.
Structure
Since the write-optimized DataStore object only consists of the table of active data, you do not have to activate the data, as is necessary with the standard DataStore object. This means that you can process data more quickly.
The loaded data is not aggregated; the history of the data is retained. If two data records with the same logical key are extracted from the source, both records are saved in the DataStore object. The record mode responsible for aggregation remains, however, so that the aggregation of data can take place later in standard DataStore objects.
The system generates a unique technical key for the write-optimized DataStore object. The standard key fields are not necessary with this type of DataStore object. If there are standard key fields anyway, they are called semantic keys so that they can be distinguished from the technical keys. The technical key consists of the Request GUID field (0REQUEST), the Data Package field (0DATAPAKID) and the Data Record Number field (0RECORD). Only new data records are loaded to this key.
You can specify that you do not want to run a check to ensure that the data is unique. If you do not check the uniqueness of the data, the DataStore object table may contain several records with the same key. If you do not set this indicator, and you do check the uniqueness of the data, the system generates a unique index in the semantic key of the InfoObject. This index has the technical name "KEY". Since write-optimized DataStore objects do not have a change log, the system does not create delta (in the sense of a before image and an after image). When you update data into the connected InfoProviders, the system only updates the requests that have not yet been posted.