;>> 3,12,26, etc)
>>> Also I have small json file (just 8 rows) with ranges definition (min,
>>> max , name)
>>> 0, 10, A
>>> 10, 20, B
>>> 20, 30, C
>>> etc
>>>
>>> Because I can not do equi-join btw duration and range min/max I need to
>>> do cross join and apply WHERE condition to take records which belong to the
>>> range
>>> Cross join is an expensive operation I think that it's better if this
>>> particular join done using Map Join
>>>
>>> How to do Map join in Spark Sql?
>>>
>>
>>
/max I need to do
>>> cross join and apply WHERE condition to take records which belong to the
>>> range
>>> Cross join is an expensive operation I think that it's better if this
>>> particular join done using Map Join
>>>
>>> How to do Map join in Spark Sql?
to take records which belong to the
>> range
>> Cross join is an expensive operation I think that it's better if this
>> particular join done using Map Join
>>
>> How to do Map join in Spark Sql?
>>
>
>
n to take records which belong to the
> range
> Cross join is an expensive operation I think that it's better if this
> particular join done using Map Join
>
> How to do Map join in Spark Sql?
>
WHERE condition to take records which belong to the
range
Cross join is an expensive operation I think that it's better if this
particular join done using Map Join
How to do Map join in Spark Sql?
