Help using Base SAS procedures

DISTINCT and GROUP BY

Reply
New Contributor
Posts: 2

DISTINCT and GROUP BY

Dear All,

I have a question about SAS behaviour to understand how a query is executed.

Is there anyone who could help me understand what SAS thinks/judges like, in this case? I added the input and output test data if it helps.

I would like to understand what are the steps in SAS judgement in this case e.g. I think he first does the groupping on DISTINCT values on column1:

a group for anna

a group for jim

a group for ben

etc.

For each group, it calculates the maximum value on Column2. e.g. 50

For each row in the group,

e.g. anna 50 4g, if the value on Column2 = maximum, it keeps that row.

e.g. anna 50 2g, if the value on Column2 = maximum, it keeps that row.

e.g. anna 50 4g, if the value on Column2 = maximum, it keeps that row.

e.g. anna 20 1g, if the value on Column2 not = maximum, it turns that row into: anna 50 BLANK.

Through this logic, if I apply the DISTINCT at this stage (at the end), I do get the output that SAS gets.

Is this correct judgment? Especially the logic I am guessing for the usage of DISTINCT. Is DISTINCT meant to be applied generally as a last step in queries that have group by, or can I not make a general statement about that?

On the other hand, I see the DISTINCT is also applied in the beginning to have groups for each distinct value in Column1.  Is distinct really being applied twice? Any generally statements that we can issue based on this case? Can I alter the code to have DISTINCT applied only once, in the end, for the sake of the exersize and for a better comprehension of SAS?

Thank you very much in advance!

Anna

PROC SQL;

CREATE TABLE WORK.TABLE1 AS

   SELECT DISTINCT t1.'Column1'n,

          /* MAX Value */

            (MAX(t1.Column2'n)) AS 'MAX Value'n,

          /* PL */

            (CASE WHEN t1.'Column2'n = MAX(t1.'Column2'n)

THEN t1.'Column3'n

            ELSE ""

            END) AS PL

      FROM WORK.TEST AS t1

      GROUP BY t1.'Column1'n;

QUIT;

Input:

jim          1788       5F

jim          2000       9F

jim          500         9F

ben        190         4H

matt      400         46

matt      20           3G

jim          2000       52

jim          2000       9F

ben2      190         4H

ben2      190         4H

ben2      34           2g

jess        190         4h

jess        190         4h

jess        120         4h

jess        190         4h

jess        13           35

jerr         11           3g

jerr         11           3g

jerr         11           3g

ben        190         4H

a              400         9f

a              400         9f

a              300         6g

b             400         9f

b             400         8f

b             300         6g

b             20           3n

Output:

a              400         BLANK

a              400         9f

b             400         BLANK

b             400         8f

b             400         9f

ben        190         4H

ben2      190         BLANK

ben2      190         4H

jerr         11           3g

jess        190         BLANK

jess        190         4h

jim          2000       BLANK

jim          2000       52

jim          2000       9F

matt      400         BLANK

matt      400         46

For me this topic is of particular interest because I am doing conversions to and from another database system environment and I am sometimes "appalled" at the differences ins yntax /logic.

In another environment (can I name it here?) the same query triggers an errors prompting to put all the 3 columns in the group by clause.

Thank you!

Regular Contributor
Posts: 184

Re: DISTINCT and GROUP BY

1. Try

   proc sql _method ;

2. There are two completely separate usages of DISTINCT. One operates to remove redundant arguments to a summary function. The other eliminates redundant rows from a result set.

3. Automatic "remerging" of summary data with original detail is an extension to standard SQL. It is supported by SAS but not by all vendors.

4. You can name competing vendors.

Ask a Question
Discussion stats
  • 1 reply
  • 212 views
  • 0 likes
  • 2 in conversation