SQL questions for joining two tables

[Solph]

I've two data sets I need to use SQL to stack up or join after doing the count (# of records). I then need to sum up the count from data set 1 and the count from data set 2. Since the data sets are really huge, I'm trying to do in fewer steps if possible. Here is the code: I used UNION to join  but it would only read in the count variable from data 1, not the count from data 2. If I use OUTER UNION Corr, it will treat those from data 1 and data 2 as two records, naturally. I was hoping there is a way SAS SQL can smartly consolidate the two cases. I know I can output the count-processed data for data 1, and then for data 2, and then create data 3 through FULL OUTER JOIN but I was hoping not to output the intermediate steps to cut my data running time. Is there a way?  Thanks in advance.

data d1; input id1 id2;
datalines;
1 11
2 12
2 12
3 11
3 14
3 14
;
data d2; input id1 id2;
datalines;
1 11
4 15
4 15
;
proc sql; create table d3 as 
	select distinct id1, id2, count(*) as C1 from d1 group by id1, id2
	outer union corr 
	select distinct id1, id2, count(*) as C2 from d2 group by id1, id2
	order by id1, id2;
quit;
proc print data=d1; run;
proc print data=d2; run;
proc print data=d3; run;

Here is what I got if I use UNION or OUTER UNION CORR.

If using UNION					If using OUTER UNION CORR
Obs	id1	id2	C1		Obs	id1	id2	C1	C2
1	1	11	1		1	1	11	.	1
2	2	12	2		2	1	11	1	.
3	3	11	1		3	2	12	2	.
4	3	14	2		4	3	11	1	.
5	4	15	2		5	3	14	2	.
					6	4	15	.	2

Here is the data I want.

Obs	id1	id2	C1	C2
1	1	11	1	1
3	2	12	2	.
4	3	11	1	.
5	3	14	2	.
6	4	15	.	2

[Astounding]

For a SQL guru, this should be easy.  Until one replies, you can just follow a slightly different path:

Actually create summaries of d1 and d2, such as:

proc sql;

create table d1counts as select id1, id2, count(*) as c1 from d1 group by id1, id2;

create table d2counts as select id1, id2, count(*) as c2 from d2 group by id1, id2;

quit;

It should be possible to create d1counts and d2counts as views rather than data sets.

Then put them together:

data d3;

merge d1counts d2counts;

by id1 id2;

run;

[PGStats]

You want a full join:

proc sql; 
create table d3 as
select 
    coalesce(a.id1, b.id1) as id1, 
    coalesce(a.id2, b.id2) as id2, 
    C1, C2 
from 
    (select id1, id2, count(*) as c1 from d1 group by id1, id2) as a
	full join
	(select id1, id2, count(*) as c2 from d2 group by id1, id2) as b
        on a.id1=b.id1 and a.id2=b.id2
	order by id1, id2;
quit;

[Ksharp]

data d1; input id1 id2;
datalines;
1 11
2 12
2 12
3 11
3 14
3 14
;
data d2; input id1 id2;
datalines;
1 11
4 15
4 15
;

proc sql;
select coalesce(a.id1,b.id1) as id1,coalesce(a.id2,b.id2) as id2,c1,c2
 from (select id1,id2,count(*) as c1 from d1 group by id1,id2) as a 
      full join
      (select id1,id2,count(*) as c2 from d2 group by id1,id2) as b 
      on a.id1=b.id1 and a.id2=b.id2;
quit;