GraphFrames seems promising but it still has a lot of algorithms, which involve
in one way or another GraphX, or run on top of GraphX according to github
repo (
https://github.com/graphframes/graphframes/tree/master/src/main/scala/org/graphframes/lib),
and in case of RDDs and semistructured data
Hi,
I'd like to hear the official statement too.
My take on GraphX and Spark Streaming is that they are long dead projects
with GraphFrames and Structured Streaming taking their place, respectively.
Jacek
On 13 May 2017 3:00 p.m., "Sergey Zhemzhitsky" wrote:
> Hello Spark
Hello Spark users,
I just would like to know whether the GraphX component should be considered
deprecated and no longer actively maintained
and should not be considered when starting new graph-processing projects on top
of Spark in favour of other
graph-processing frameworks?
I'm asking