Hive - OR condition with left outer join - hadoop

Question

I have referred all the queries on SO for a similar case. Although the error may be common, I am looking for solution for the specific case. Please refrain from marking the question duplicate, unless you get exactly the same scenario with an accepted solution.
I have two tables
Main table:
c1 c2 c3 c4 c5
1 2 3 4 A
Other table
c1 c2 c3 c4 c5
1 8 5 6 B
8 2 8 9 C
8 7 3 9 C
8 7 9 4 C
5 6 7 8 D
Now, from the other table, I should only be able to pick only unique record across all the column. e.g. the last row (5,6,7,8, D) only.
Row 1 from other table rejected, because c1 value (1) is same as c1 value (1) in main table, Row 2 rejected because c2 value of other and main table matches and likewise...
In a nutshell, none of the columns from other table should have the same value (in corresponding column) in main table in the output of the query.
I tried creating below query
select t1.* from otherTable t1
LEFT OUTER JOIN mainTable t2
ON ( t1.c1 = t2.c1 OR t1.c2 = t2.c2 OR t1.c3 = t2.c3 OR t1.c4 = t2.c4 )
Where t2.c5 is null;
However, hive throws below exception
OR not supported in JOIN currently
I understand the hive limitation and many time I have used UNION (ALL | DISTINCT) with inner join to overcome this limitation; but not able to use the same strategy with this.
Please help.
EDIT 1 : I have hive version restriction - Can only use version 1.2.0

Answer 1

You can do cartesian product join (an inner join with no conditions):
select t1.* from otherTable t1
,mainTable t2
WHERE t1.c1 != t2.c1 AND t1.c2 != t2.c2
AND t1.c3 != t2.c3 AND t1.c4 != t2.c4 AND t1.c5 != t2.c5;
Assuming you have one row in the mainTable this query should be as efficient as one that uses OUTER JOIN
Another option is to break your proposed query into 5 different LEFT OUTER JOIN sub-queries:
select t1.* from (
select t1.* from (
select t1.* from (
select t1.* from (
select t1.* from otherTable t1
LEFT OUTER JOIN (select distinct c1 from mainTable) t2
ON ( t1.c1 = t2.c1) Where t2.c1 is null ) t1
LEFT OUTER JOIN (select distinct c2 from mainTable) t2
ON ( t1.c2 = t2.c2) Where t2.c2 is null ) t1
LEFT OUTER JOIN (select distinct c3 from mainTable) t2
ON ( t1.c3 = t2.c3) Where t2.c3 is null ) t1
LEFT OUTER JOIN (select distinct c4 from mainTable) t2
ON ( t1.c4 = t2.c4) Where t2.c4 is null ) t1
LEFT OUTER JOIN (select distinct c5 from mainTable) t2
ON ( t1.c5 = t2.c5) Where t2.c5 is null
;
Here, for each column, I first get the distinct columns from the mainTable and join it with what's left of otherTable. The downside is that I pass 5 times over mainTable - once for each column. If the values in main table are unique, you can remove the distinct from the subqueries.