Using CASE Statements in LEFT OUTER JOIN in SQL
I've got a scenario where I want to switch on two different tables in an outer join. It goes something like this:-
select mytable.id,
yourtable.id
from mytable
left outer join (开发者_StackOverflowcase
when mytable.id = 2 then table2
yourtable on table1.id = table2.id
else
table3 yourtable on table1.id = table3.id
end)
...but it doesn't work. Any suggestions?
Use (Oracle 9i+):
SELECT mt.id,
COALESCE(yt1.id, yt2.id)
FROM MYTABLE mt
LEFT JOIN YOURTABLE yt1 ON yt1.id = mt.id
AND yt.id = 2
LEFT JOIN YOURTABLE yt2 ON yt2.id = mt.id
Here's another possibility, although I haven't tried it on Oracle:
select mytable.id,
yourtable.id
from table1 as mytable left outer join
(SELECT 2 AS tableid, *
FROM table2
UNION ALL
SELECT 1, *
FROM table3) as yourtable
ON mytable.id = yourtable.id
AND tableid = CASE WHEN mytable.id = 2 THEN 2 ELSE 1 END
This query joins records from the EMP table to either the DEPT table or the SPECIAL_OPS table, depending on the value of EMP.DEPTNO ...
SQL> select e.ename
2 , e.job
3 , e.deptno
4 , coalesce(d.dname, s.dname) as dname
5 from emp e
6 left outer join dept d
7 on ( e.deptno = 30
8 and e.deptno = d.deptno )
9 left outer join special_ops s
10 on ( e.deptno != 30
11 and e.deptno = s.deptno )
12 where e.deptno in (30,50)
13 order by e.deptno, e.empno
14 /
ENAME JOB DEPTNO DNAME
---------- --------- ---------- --------------
VAN WIJK SALESMAN 30 SALES
PADFIELD SALESMAN 30 SALES
BILLINGTON SALESMAN 30 SALES
SPENCER MANAGER 30 SALES
CAVE SALESMAN 30 SALES
HALL CLERK 30 SALES
VERREYNNE PLUMBER 50 SKUNKWORKS
FEUERSTEIN PLUMBER 50 SKUNKWORKS
8 rows selected.
SQL>
I have included the filter on EMP.DEPTNO in the ON clauses. This might be unnecessary if the data in the tables is exclusive (i.e. DEPTNO = 30 could only join to DEPT and DEPTNO = 50 could only join to SPECIAL_OPS). However, if the identifier can appear in both tables it is as well to be explicit. Besides, making our intent clear is always good practice. Apart from anything else, we cannot be sure about the future state of the data.
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