Datastore objects are only supported for direct writing as the data target

Can be called remotely. The activation step that has been necessary up to now is no longer required. Execute the analysis process. You can update the data in DataStore objects for direct update to additional InfoProviders however.

If this option is active and if duplicate records are loaded with regard to semantic key, these are logged in the error stack of the Data Transfer Protocol DTP for further evaluation. Check the data in the DataStore object as needed. If the calculation result is okay, use an update rule to write the data to an InfoCube or a standard DataStore object.

In SAP Business Warehouse, it is necessary to activate the data loaded into a Data Store object to make it visible for reporting or to update it to further InfoProviders. The loaded data is not aggregated; the history of the data is retained at request level.

Semantic group definition is necessary to do parallel loads to Write-Optimized DataStore. Queries are not currently supported on DataStore objects for direct update as master data IDs SID are not determined when data is updated to the transactional DataStore object.

Write-optimized DataStore objects can force a check of the semantic key for uniqueness when data is stored. In the case of characteristics with master data tables, only valid characteristic values are transferred.

If any error occurs in data, the error data will be stored in Error stack. You cannot use reclustering for write-optimized DataStore objects since this DataStore data is not meant for querying. For this, the only characteristics considered are those specified in the Target Area tab page.

For this, the only characteristics considered are those specified in the Target Area tab page. Each business area also gets in own analysis process. Use With Writing Data to a DataStore Object as the data target, you can save calculation results from an analysis process in a DataStore object for direct update.

A maximum of 16 key fields and data fields are permitted. You can only use the key fields of the DataStore object to determine the target area. The difference is the restriction of the target area in which the data is deleted and then into which new data is filled.

When the data is written to the target area, the system saves the data of each package in the database. If the analysis process terminates during execution, it is not clear which data has already been written up to that point. Write-Optimized Data Store supports request level delta. Flexibility, Reusability and Completeness.

Semantic Keys protect the data quality. Data is made available for analysis and reporting immediately after being loaded. If standard key fields exist anyway, they are called semantic keys so that they can be distinguished from the technical key.

When the data is written to the target area, the system saves the data of each package in the database. You only have to create the complex transformations once for all incoming data. To enable mass data to be processed, data from the analysis process is processed internally in technical packages.

This is a staging DataStore used for a faster upload. The loading process is not supported by the BW system. If the DataStore object does not have these properties, unexpected results may be produced when the data is aggregated in the query. Inserts data with new keys.The DataStore object for direct update differs from the standard DataStore object in terms of how the data is processed.

In a standard DataStore object, data is stored in different versions (active, delta, modified), whereas a DataStore object for direct update contains data in a single version.

Although there is help documentation available from SAP on Write-Optimzied DataStore.

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data is stored in precisely the same form in which it was written to the DataStore object for direct update by the application. you can use a DataStore object for direct update as a data target for an analysis process.

modified). whereas a DataStore object for. You can only use reclustering for standard DataStore objects and the DataStore objects for direct update.

PSA and Write optimized DSO are the two different entities in the data flow as each one has its own features and usage.

Data Restore in Direct SAN Access Mode

Archived discussions are read-only. Learn more about SAP Q&A. Duplicate records when writing data to Direct update DataStore object. All, I am using APD to write query output to direct update DSO. As Direct update DSO doesnt allow duplicate record to. The Direct SAN access mode can be used to restore VMs only with thick disks.

Before VM data is restored, the ESX(i) host needs to allocate space for the restored VM disk on the datastore: When thick disks are restored, the ESX(i) host allocates space on disk before writing VM data. I know that this can be done by writing the routine in the transformations from DSO1 to DSO2.

But the requirement is to get the same results using APD (Analysis Process designer) When i try to create APD and write routine between the DSOs it says " DataStore objects are only supported for direct writing as the data target".

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Datastore objects are only supported for direct writing as the data target
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