This was my thought exactly with the TinkerPop3 release. Looks like, to move 
this forward, we’d need to implement gremlin-core per 
<http://www.tinkerpop.com/docs/3.0.0.M1/#_implementing_gremlin_core>. The real 
question lies in whether GraphX can only support the OLTP functionality, or if 
we can bake into it the OLAP requirements as well. At a first glance I believe 
we could create an entire OLAP system. If so, I believe we could do this in a 
set of parallel subtasks, those being the implementation of each of the 
individual API’s (Structure, Process, and, if OLAP, GraphComputer) necessary 
for gremlin-core. Thoughts?


From: Kyle Ellrott <kellr...@soe.ucsc.edu<mailto:kellr...@soe.ucsc.edu>>
Date: Thursday, November 6, 2014 at 12:10 PM
To: Kushal Datta <kushal.da...@gmail.com<mailto:kushal.da...@gmail.com>>
Cc: Reynold Xin <r...@databricks.com<mailto:r...@databricks.com>>, "York, 
Brennon" <brennon.y...@capitalone.com<mailto:brennon.y...@capitalone.com>>, 
"dev@spark.apache.org<mailto:dev@spark.apache.org>" 
<dev@spark.apache.org<mailto:dev@spark.apache.org>>, Matthias Broecheler 
<matth...@thinkaurelius.com<mailto:matth...@thinkaurelius.com>>
Subject: Re: Implementing TinkerPop on top of GraphX

I still have to dig into the Tinkerpop3 internals (I started my work long 
before it had been released), but I can say that to get the Tinerpop2 Gremlin 
pipeline to work in the GraphX was a bit of a hack. The whole Tinkerpop2 
Gremlin design was based around streaming pipes of data, rather then large 
distributed map-reduce operations. I had to hack the pipes to aggregate all of 
the data and pass a single object wrapping the GraphX RDDs down the pipes in a 
single go, rather then streaming it element by element.
Just based on their description, Tinkerpop3 may be more amenable to the Spark 
platform.

Kyle


On Thu, Nov 6, 2014 at 11:55 AM, Kushal Datta 
<kushal.da...@gmail.com<mailto:kushal.da...@gmail.com>> wrote:
What do you guys think about the Tinkerpop3 Gremlin interface?
It has MapReduce to run Gremlin operators in a distributed manner and Giraph to 
execute vertex programs.

The Tinkpop3 is better suited for GraphX.

On Thu, Nov 6, 2014 at 11:48 AM, Kyle Ellrott 
<kellr...@soe.ucsc.edu<mailto:kellr...@soe.ucsc.edu>> wrote:
I've taken a crack at implementing the TinkerPop Blueprints API in GraphX (
https://github.com/kellrott/sparkgraph ). I've also implemented portions of
the Gremlin Search Language and a Parquet based graph store.
I've been working out finalize some code details and putting together
better code examples and documentation before I started telling people
about it.
But if you want to start looking at the code, I can answer any questions
you have. And if you would like to contribute, I would really appreciate
the help.

Kyle


On Thu, Nov 6, 2014 at 11:42 AM, Reynold Xin 
<r...@databricks.com<mailto:r...@databricks.com>> wrote:

> cc Matthias
>
> In the past we talked with Matthias and there were some discussions about
> this.
>
> On Thu, Nov 6, 2014 at 11:34 AM, York, Brennon <
> brennon.y...@capitalone.com<mailto:brennon.y...@capitalone.com>>
> wrote:
>
> > All, was wondering if there had been any discussion around this topic
> yet?
> > TinkerPop <https://github.com/tinkerpop> is a great abstraction for
> graph
> > databases and has been implemented across various graph database backends
> > / gaining traction. Has anyone thought about integrating the TinkerPop
> > framework with GraphX to enable GraphX as another backend? Not sure if
> > this has been brought up or not, but would certainly volunteer to
> > spearhead this effort if the community thinks it to be a good idea!
> >
> > As an aside, wasn¹t sure if this discussion should happen on the board
> > here or on JIRA, but a made a ticket as well for reference:
> > https://issues.apache.org/jira/browse/SPARK-4279
> >
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