Questions and Answers 

What are the benefits of loading requests in parallel?

Several requests can be updated more quickly in the DataStore object.

Can the processes for loading and activating requests be started independently of one another?

Yes. You can create a process chain that starts the activation process once the loading process is complete. More information: Including DataStore Objects in Process Chains

Is there a maximum number of records that can be activated simultaneously?

No.

Can I change the loading method that is used to load the data into the DataStore object from a full update to a delta update?

No. Once a full update has been used to load data into the DataStore object, you are no longer able to change the loading method for this particular combination of DataSource and source system. One exception to this is updating a DataStore object to another (not yet filled) DataStore object if InfoProviders already exist that have been supplied with deltas from the DataStore object. You can run a full upload, which is handled like an initial, into the empty DataStore object and then load deltas on top of that.

Why is it that, after multiple data loads, the change log is larger than the table of active data?

The change log grows in proportion to the table of active data, because before and after-images of each new request are stored there. More information: Example for Activating and Updating Data and the description of the delta process.

Can I delete date from the change log once the data has been activated?

If a delta initialization is available for updates to connected InfoProviders, requests have to be updated before the corresponding data can be deleted from the change log. In the DataStore object administration, you can then call the Delete Change Log Data  function. You can schedule this process to run periodically.

However, you cannot immediately delete the data that you just activated, because the most recent deletion selection that you can specify is Older Than 1 Day.

Are locks set when I delete data from the DataStore object to prevent data being written simultaneously?

More information: Functional Constraints of Processes

When is it useful to delete data from the DataStore object?

There are three options available for deleting data from the DataStore object: by request, selectively, and from the change log. To determine the best option, read the detailed description of deleting data from DataStore objects.

When do I use the DataStore object for direct update?

You use this type of DataStore object to load data quickly without using the extraction and load processes in the BI system. More information: DataStore Objects for Direct Update