Creating Data Archiving Processes 

Prerequisites

If you want to use third-party near-line storage, the connection for the third-party solution must be implemented and a near-line connection must be set up.

More information: Creating Near-Line Storage Connections

Procedure

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       1.      Call the data archiving process maintenance (transaction RSDAP).

       2.      Select an InfoProvider for which the data archiving process is to be created.

       3.      Choose Edit. The data archiving process contains the same technical name as the InfoProvider. Enter a description.

Tab Page: General Settings

       4.      You can select whether you want to use ADK-based archiving, near-line storage, or both.

Tab Page: Selection Profile

       5.      You specify which data from the InfoProvider is selected for the archiving run.

With reference to the selected time characteristic, the time slice archiving always creates time intervals that directly follow on from one another. These can be connected, with conditions, to additional, time-independent partitioning characteristics. You can use these characteristics to restrict the selection further.

To allow for optimum prerequisites for the later use of queries on near-line storage, the selected time characteristic must also be highly relevant for the queries.

For a DataStore object, you can only select a key characteristic as the partitioning characteristic in time slice archiving. The characteristic for the time slice generation can also be a non key characteristic. However, you must then select a separate partitioning characteristic from the key with a largely monotonous time reference and to which the time conditions can be applied (such as Clearing Date in the data part and Document Number in the key). At runtime, the system attempts to apply the time restriction to a partitioning characteristic restriction. In the InfoCube, all characteristics always count as key characteristics.

Tab Page: Semantic Group

       6.      You can form semantic groups to archive the data in a sorted way.

The system reads from the database after sorting according to grouping characteristics (the order is important). Records with the same specifications in the grouping characteristics are written to the archive as one data object.

If no characteristic is selected, the storage in the archive is not sorted and technical criteria are used for classification (fixed size) into data objects.

Tab Page: ADK

       7.      Specify the logical file name.

       8.      Define a maximum size for the generated archive files. You must take the memory capacity of your storage medium into account. This can be restricted by the number of data objects. The limit that is reached first is the deciding one. During an archiving run, a new file is created when the maximum size is reached.

       9.      You can trigger delete jobs by events.

   10.      You can specify the storage system and delete sequence. You only need to specify the storage system and delete sequence if you are using a separate storage system.

Tab Page: Near-Line Storage

   11.      Specify a maximum size for the data package. You must take the memory capacity of your storage medium into account. This can be restricted by the number of data objects. The limit that is reached first is the deciding one. During an archiving run, a new data package is created when the maximum size is reached.

   12.      Activate the data archiving process. If the data archiving process is active, it is no longer possible to change many of the settings.

Result

Depending on how the archiving process is modeled, an archiving object or a connection to near-line storage is generated.

For ADK-based archiving, an archiving object is generated in the local system. The namespace for archiving objects consists of "BW" as the prefix, then a character for the object type ("C" = InfoCube, "O" = DataStore object A version), and finally the object name. Only seven characters are available for the name, since only ten characters are available for the whole name.

You can now schedule the data archiving process. More information:

Near-line and ADK-based data archiving processes: Scheduling Data Archiving Processes Using Process Chains

Purely ADK-based data archiving processes: Scheduling Data Archiving Processes (ADK-Based)

Manual request processing: Creating and Executing Archiving Requests