Efficient Coding of SAS Programs

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Are there best practices for SAS programs? How can you make them efficient?
Does it really matter if a program takes .3 seconds or .10 seconds to run?

Some code that I have seen in the last two days points to the fact that efficiencies in SAS code (or Java / C+ / Fortran :) for that matter) should be the objective of the programmer.

Here are two things I noticed this week:

  • Missing RUN Statements
  • run; on the Proc Sort prior to the Proc Univariate/Means/Freq/etc isn't a requirement. The program will handle both. HOWEVER, this isn't considered a good strategy.

  • multiple data statements that could be combined
  • So you have three data statements in a row, processing the same data table. Is all that really necessary? I combined two yesterday and reduced processing time from .3 to .1 seconds. Big Deal? Maybe not - but consider this processing happening for 10,000 different data tables - now you are talking a total change from 50 MINUTES to 16 MINUTES ... SUPER BIG DEAL

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About Author

Angela Hall

Senior Technical Architect

Angela offers tips on using the SAS Business Intelligence solutions. She manages a team of SAS Fraud Framework implementers within the SAS Solutions On-Demand organization. Angela also has co-written two books, 'Building BI using SAS, Content Development Examples' & 'The 50 Keys to Learning SAS Stored Processes'.

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