Replacing the Source Data Set for a Project

Follow these steps to replace a data set used for a project. This task is useful when multiple projects using the same source data set are migrated from SAS Forecast Server. Removing duplicate data sets reduces the impact to memory on the CAS server.

After migration, migrated data set names are appended with an 8-digit unique identifier. This identifier is used to prevent name collisions with data sets that are already loaded into CAS. For example, if you migrated 15 projects that are using the PRICEDATA data set, each project uses that name plus the 8-digit identifier (PRICEDATAE5EDCE92). There is a 32-byte limit on the length of data set names. As a result, it is possible that characters at the end of long data set names could be stripped and replaced with the 8-digit identifier.

  1. Designate one copy of the data sets to be used for each of the projects (for example, PRICEDATAE5EDCE92).
  2. For the other projects, replace the designated source for the time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables) by following these steps.
    1. On the Data tab, click New data source menu and select Time series. The Choose Data window opens.
    2. In the list provided, select the data set to replace the existing one for the project (for example, PRICEDATA).
    3. Click OK. If the new data set has the same schema as the existing one, the replacement is successful.
  3. Click Applications menu in the upper left corner and select Manage Data. This opens SAS Data Explorer.
  4. In the list shown, find the data set that you replaced for the project.
  5. Right-click the data set and click Unload. The data set is removed from CAS memory.
  6. If you want to remove the copied data set from storage, follow these steps.
    1. While still in SAS Data Explorer, click the Data Sources tab.
    2. Expand the Public library item.
    3. Locate the data set that you want to remove from the list. It has a SASHDAT file extension (for example, PRICEDATA6BB440AE.SASHDAT).
    4. Right-click the data set and select Delete. The data set is removed.

Repeat this process for the other projects that have duplicate source data.

Last updated: March 16, 2026