Effective way to join tables by range using impala

I have the following tables the first (Range) includes range of values and additional columns:

row  | From   |  To     | Country ....
-----|--------|---------|---------
1    | 1200   |   1500  |
2    | 2200   |   2700  |
3    | 1700   |   1900  |
4    | 2100   |   2150  |
...

The From and Toare bigint and are exclusive. The Range table includes 1.8M records. Additional table (Values) contains 2.7M records and looks like:

 row     | Value  | More columns....
 --------|--------|----------------
    1    | 1777   |    
    2    | 2122   |    
    3    | 1832   |    
    4    | 1340   |    
    ...

I would like to create one table as followed:

row      | Value  | From   | To    | More columns....
 --------|--------|--------|-------|---
    1    | 1777   | 1700   | 1900  |
    2    | 2122   | 2100   | 2150  |   
    3    | 1832   | 1700   | 1900  |   
    4    | 1340   | 1200   | 1500  |   
    ...

I used BETWEEN for the above task, but the query never ends:

VALUES.VALUE between RANGE.FROM and RANGE.TO

Is there a change I need to do in table partitions or in Impala?

The main idea of the following solution is to replace a theta join (non-equi join) with an equi join that will lead to a good distribution + efficient local join algorithm.

The range (-infinity,infinity) is being split to section of n length.
Each range from the ranges table is being associated with the sections it intersects.

e.g. given n=1000, the range [1652,3701] will be associated with the sections [1000,2000), [2000,3000) and [3000,4000) (and will have 3 records, 1 for each section)

               1652              3701
               |                 |
               -------------------

-------------------------------------------------------
|        |        |        |        |        |                
0        1000     2000     3000     4000     5000

In the same manner a value from the values table is being associated to the range that contains it, e.g. 2093 will be associated with the range [2000,3000).

The join between the 2 tables is going to be on the value that represents the section, e.g. [1652,3701] and 2093 are going to be joined on the section [2000,3000)

create table val_range (id int,from_val bigint,to_val bigint);

insert into val_range values
    (1,1200,1500)
   ,(2,2200,2700)
   ,(3,1700,1900)
   ,(4,2100,2150)
;   

create table val (id int,val bigint);

insert into val values
    (1,1777)    
   ,(2,2122)    
   ,(3,1832)    
   ,(4,1340)
;

set n=1000;

select      v.id
           ,v.val
           ,r.from_val
           ,r.to_val

from       (select  r.*
                   ,floor(from_val/${hiveconf:n}) + pe.i    as match_val

            from    val_range r
                    lateral view    posexplode
                                    (
                                        split
                                        (
                                            space
                                            (
                                                cast
                                                (
                                                    floor(to_val/${hiveconf:n}) 
                                                  - floor(from_val/${hiveconf:n}) 

                                                    as int
                                                )
                                            )
                                           ,' '
                                        )
                                    ) pe as i,x
            ) r

            join    val v

            on      floor(v.val/${hiveconf:n})    =
                    r.match_val

where       v.val between r.from_val and r.to_val

order by    v.id        
;

+------+-------+------------+----------+
| v.id | v.val | r.from_val | r.to_val |
+------+-------+------------+----------+
|    1 |  1777 |       1700 |     1900 |
|    2 |  2122 |       2100 |     2150 |
|    3 |  1832 |       1700 |     1900 |
|    4 |  1340 |       1200 |     1500 |
+------+-------+------------+----------+