logic order, so you
can just pick the first element out from the Array "keys" of DF2, to join.
Otherwise, I don't see any way to avoid a cartesian join.
Yong
From: Mungeol Heo
Sent: Thursday, March 30, 2017 3:05 AM
To: ayan guha
Cc: Yong Zhang; user@spa
he desired result for
>> >
>> >
>> > RDD/DF 1
>> >
>> > 1, a
>> > 3, c
>> > 5, b
>> >
>> > RDD/DF 2
>> >
>> > [1, 2, 3]
>> > [4, 5]
>> >
>> >
>> > Yong
>> >
>&g
> >
> > RDD/DF 1
> >
> > 1, a
> > 3, c
> > 5, b
> >
> > RDD/DF 2
> >
> > [1, 2, 3]
> > [4, 5]
> >
> >
> > Yong
> >
> >
> > From: Mungeol Heo
> > Sent: Wednesday, March 29, 2017 5:37 AM
> &
the desired result for
>
>
> RDD/DF 1
>
> 1, a
> 3, c
> 5, b
>
> RDD/DF 2
>
> [1, 2, 3]
> [4, 5]
>
>
> Yong
>
>
> From: Mungeol Heo
> Sent: Wednesday, March 29, 2017 5:37 AM
> To: user@spark.apache.org
&
What is the desired result for
RDD/DF 1
1, a
3, c
5, b
RDD/DF 2
[1, 2, 3]
[4, 5]
Yong
From: Mungeol Heo
Sent: Wednesday, March 29, 2017 5:37 AM
To: user@spark.apache.org
Subject: Need help for RDD/DF transformation.
Hello,
Suppose, I have two RDD or data
Hello,
Suppose, I have two RDD or data frame like addressed below.
RDD/DF 1
1, a
3, a
5, b
RDD/DF 2
[1, 2, 3]
[4, 5]
I need to create a new RDD/DF like below from RDD/DF 1 and 2.
1, a
2, a
3, a
4, b
5, b
Is there an efficient way to do this?
Any help will be great.
Thank you.
