BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
littlestone
Fluorite | Level 6

Hi, all

Suppose I have two data sets Main and Minor.

Dataset Main:

Key

1

2

3

4

Dataset Minor:

Key

1

3

5

7

9

I know Inner Join on Key will give:

Key

1

3

5

Now I want to get the result:

Key

2

4

7

9

I know how to do it using data step; however, how to do it using Proc SQL?

1 ACCEPTED SOLUTION

Accepted Solutions
Ksharp
Super User

But I recommend you to use UNION.

data main;
input key @@;
datalines;
1 2 3 4 5
;
run;
data minor;
input key @@;
datalines;
1 3 5 7 9
;
run;
proc sql;
 create table want as
  select  coalesce(a.key,b.key) as k
   from  main as a full join minor as b on a.key = b.key
    where a.key is missing or b.key is missing;
quit; 

 

Ksharp

View solution in original post

11 REPLIES 11
MikeZdeb
Rhodochrosite | Level 12

hi ... with assistance from online help ...

data main;

input key @@;

datalines;

1 2 3 4 5

;

run;

data minor;

input key @@;

datalines;

1 3 5 7 9

;

run;

proc sql;

create table new as

(select * from main except select * from minor)

union

(select * from minor except select * from main);

quit;

littlestone
Fluorite | Level 6

Thank you.

Is it possible to do the task using JOIN method?

Ksharp
Super User

But I recommend you to use UNION.

data main;
input key @@;
datalines;
1 2 3 4 5
;
run;
data minor;
input key @@;
datalines;
1 3 5 7 9
;
run;
proc sql;
 create table want as
  select  coalesce(a.key,b.key) as k
   from  main as a full join minor as b on a.key = b.key
    where a.key is missing or b.key is missing;
quit; 

 

Ksharp

littlestone
Fluorite | Level 6

Thank you so much for your recommendation.

Best regards.

Howles
Quartz | Level 8

I would probably use this approach:

proc sql ;

create table want as

select coalesce(main2.key, minor2.key) as key

  from  (select key , 1 as  mainflag from main ) as main2

        full join

        (select key , 1 as minorflag from minor) as minor2

   on main2.key EQ minor2.key

  where n(mainflag, minorflag) EQ 1 ;

quit ;

Some of the other techniques might encounter difficulties

  • when there are composite keys
  • when there are missing-values in the keys
  • when there are satellite variables

littlestone wrote:

Thank you.

Is it possible to do the task using JOIN method?

littlestone
Fluorite | Level 6

Thank you.

where n(mainflag, minorflag) EQ 1 ;

would you please explain to me what does this "n" statement mean?

art297
Opal | Level 21

That is just a SAS function that counts the number of non-missing values.  see: http://support.sas.com/documentation/cdl/en/lrdict/64316/HTML/default/viewer.htm#a000245918.htm

littlestone
Fluorite | Level 6

thank you very much for clarificiation

Joeldw
Calcite | Level 5

How about a full join of major and minor on minor.key = major.key. Then, in the where statement main.key is null OR minor key is null.

littlestone
Fluorite | Level 6

I tried. It does not work.

thanks.

Joeldw
Calcite | Level 5

Hello - I was about to give you code for this approach but I see @ksharp has done so already.

Cheers.

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

Register now!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 11 replies
  • 1796 views
  • 6 likes
  • 6 in conversation