Tag Archive for Dataset

Dealing with variable length warnings in SAS 9.2

A habit of mine is to put a LENGTH or ATTRIB statement between DATA and SET statements in a SAS data step to reset variable lengths. By default, it seems that this can triggers truncation warnings in SAS 9.2 or SAS 9.3 when it didn’t in previous versions. SAS 9.1.3, for instance, allowed you have something like the following for shortening a variable length without issuing any messages at all:

data b;
length x $100;
set a;
run;

In this case, x could have a length of 200 previously and SAS 9.1.3 wouldn’t have complained. Now, SAS 9.2 and 9.3 will issue a warning if the new length is less than the old length. This can be useful to know but it can be changed using the VARLENCHK system option. The default value is WARN but it can be set to ERROR if you really want to ensure that there is no chance of truncation. Then, you get error messages and the program fails where it normally would run with warnings. Setting the value of the option to NOWARN restores the type of behaviour seen in SAS 9.1.3 and versions prior to that.

The SAS documentation says that the ability to change VARLENCHK can be restricted by an administrator so you might need to deal with this situation in a more locked down environment. Then, one option would be to do something like the following:

data b;
drop x;
rename _x=x;
set a;
length _x $100;
_x=strip(x);
run;

It’s a bit more laborious than setting to the VARLENCHK option to NOWARN but the idea is that you create a new variable of the right length and replace the old one with it. That gets rid of warnings or errors in the log and resets the variable length as needed. Of course, you have to ensure that there is no value truncation with either remedy. If any is found, then the dataset specification probably needs updating to accommodate the length of the values in the data. After all, there is no substitute for getting to know your data and doing your own checking should you decide to take matters into your hands.

There is a use for the default behaviour though. If you use a specification to specify a shell for a dataset, then you will be warned when the shell shortens variable lengths. That allows you to either adjust the dataset or your program. Also, it gives more information when you get variable length mismatch warnings when concatenating or merging datasets. There was a time when SAS wasn’t so communicative in these situations and some investigation was needed to establish which variable was affected. Now, that has changed without leaving the option to work differently if you so do desire. Sometimes, what can seem like an added restriction can have its uses.

Setting VIEWTABLE to show column names in SAS

By default in the DMS, Base SAS opens datasets from its Explorer using VIEWTABLE and with variable labels in the column headings and not variable names. Because I have been fortunate to use systems with SAS/FSP both installed and licensed, I have taken to using FSVIEW for browsing SAS datasets as a workaround and, though the interface may look old to some, it proves to be a very flexible tool that still has a few things to teach newer ones. With SAS Enterprise Guide, the dataset viewing functionality is different to both VIEWTABLE and FSVIEW but I have been to make it work for me. The SAS EG dataset viewing tool may appear like the former of these but it has a few tricks to teach its forbear.

Now that I find myself working again with the traditional SAS DMS interface and without SAS/FSP, I decided to see if there was a way to get VIEWTABLE to display variable names instead of variable labels by default. As it happened, the answer was found in an internet forum discussion. From the SAS command line, you can achieve the result issuing a command like the following:

VT SASHELP.VCOLUMN COLHEADING=NAMES

VT is the VIEWTABLE shortcut but it is the COLHEADING=NAMES option on the line that gets variable names shown in column headings. Taking it further, you can set this as the default setting for datasets opened using a mouse from Explorer panes using the following procedure:

  • Click in or on the Explorer pane to highlight the the Explorer window.
  • Select Tools->Options->Explorer in the menus.
  • Select the Members tab.
  • Double click on the TABLE icon.
  • Double click on the &Open action.
  • Set the Action command to:  VIEWTABLE %8b.’%s’.DATA COLHEADING=NAMES.
  • Click on the Set Default button.
  • Save changes and close the Explorer Options window.

Because the DMS looks similar across versions 8.0 through to 9.2, the above instructions should be relevant to all of those. While I have yet to get the opportunity to use SAS 9.3, I would be surprised to find that the traditional SAS interface has changed there too, even though much else has changed about SAS. In fact, the latest version of SAS has brought quite a few new interesting features for programmers so it seems that you can do more through a familiar interface, not entirely a bad thing. It looks as if this VIEWTABLE tweak could be useful for a while yet.

Using Data Step to Create a Dataset Template from a Dataset in SAS

Recently, I wanted to make sure that some temporary datasets that were being created during data processing in a dataset creation program weren’t truncating values or differed from the variable lengths in the original. It was then that a brainwave struck me: create an empty dataset shell using data step and use that set all the variable lengths for me when the new datasets were concatenated to it. The code turned out to be very simple and here is an example of how it looked:

data shell;
stop;
set example;
run;

The STOP statement, prevents the data step from reading in any of the values in the template dataset and just its header is written out to another (empty) dataset that can be used to set things up as you would want them to be. It certainly was a quick solution in my case.

SAS9 SQL Constraints

With SAS 9, SAS Institute have introduced the sort sort of integrity constraints that have been bread and butter for relational database SQL programs but some SAS programmers may find them more restrictive than they might like. The main one that comes to my mind is the following:

proc sql noprint;
create table a as select a.*,b.var from a left join b on a.index=b.index;
quit;

Before SAS 9, that worked merrily with nary a comment but you now will see a warning like this:

WARNING: This CREATE TABLE statement recursively references the target table. A consequence of this is a possible data integrity problem.

In data step, the following still runs without a complaint:

data a;
merge a b(keep=index var);
by index;
run;

On the surface of it this does look inconsistent. From a database programmer’s point of view having to use different source and target datasets is no hardship but seems a little surplus to requirements for a SAS programmer trained to keep down the number of temporary datasets in an effort to reduce I/O and keep things tidy, an academic concept perhaps in these days of high processing power and large disks. Adding UNDO_POLICY=NONE to the PROC SQL line does make everything consistent again but I see this as being anathema to a database programming type. I do admit to indulging in the override for personal quick and dirty purposes but abiding by the constraint is how I do things for formal purposes like inclusion in an application.

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