Main Tasks for Users - SAS Data Integration Studio 3.3 User's Guide - page 102

For more information about viewing data, see “Viewing Data in Tables, External
Files, or Temporary Output Tables” on page 110. If a target needs to be improved,
change the properties of that target or the transformations that feed data to that
target. If the outputs are correct, and you are working in a change-managed repository,
you can check in the job.
Check In the Metadata
Follow these steps to check in all metadata objects in the Project tree:
1 In the Project tree, select the repository icon.
2 On the SAS Data Integration Studio desktop, select Project ￿ Check In
Repository from the menu bar. All of the objects in the Project repository are
checked into the change-managed repository.
For more information abour change management, see “Working with Change
Management” on page 113.
Customizing or Replacing Code Generated for Jobs
See Appendix 2, “Customizing or Replacing Generated Code in SAS Data Integration
Studio,” on page 223.
Deploying a Job for Scheduling
Administrators can deploy a job for scheduling so that the job can run in batch mode
at a specified date and time. For more information, see “Deploying a Job for
Scheduling” on page 65.
Enabling Parallel Execution of Process Flows
When SAS Data Integration Studio generates code for a job, it can add macros that
enable parts of the job to be executed in parallel. You can enable these macros by doing
the following:
￿ selecting YES in the Enable parallel processing macros option on the Options tab
in the properties window for a job
￿ including a Loop transformation in a job
When you enable the parallel processing option for a job, macros are generated at the
top of the job code with comments to enable you to create your own transformations or
code to take advantage of parallel processing. When you include a Loop transformation
in a job, the transformation generates the necessary macros to take advantage of
sequential execution, symmetric multiprocessing (SMP) execution, or execution on a
grid computing network.
No special software or metadata is required to enable parallel processing on SMP
servers. If grid options have been enabled for a job, but the grid software has not been
configured and licensed, SAS Data Integration Studio does not generate grid-enabled
code for the job. It generates code that is appropriate for symmetric multiprocessing
(SMP) on the SAS application server.
The Help for SAS Data Integration Studio provides additional information about
parallel processing. To display the relevant Help topics, do the following:
1 From the SAS Data Integration Studio menu bar, select Help ￿ Contents . The
Help window displays.