The HPFMM Procedure

Many procedures in SAS software add the variables from the input data set when an observationwise output data set is created. The assumption of high-performance analytical procedures is that the input data sets can be large and contain many variables. For performance reasons, the output data set contains the following:

This enables you to add output data set information that is necessary for subsequent SQL joins without copying the entire input data set to the output data set. For more information about output data sets that are produced when PROC HPFMM is run in distributed mode, see the section Output Data Sets in SAS/STAT 14.1 User's Guide: High-Performance Procedures.