Some form of graph querying support would be great to have. This can be a great community project hosted outside of Spark initially, both due to the maturity of the component itself as well as the maturity of query language standards (there isn't really a dominant standard for graph ql).
One thing is that GraphX API will need to evolve and probably need to provide more primitives in order to support the new ql implementation. There might also be inherent mismatches in the way the external API is defined vs what GraphX can support. We should discuss those on a case-by-case basis. On Thu, Nov 6, 2014 at 5:42 PM, Kyle Ellrott <kellr...@soe.ucsc.edu> wrote: > I think its best to look to existing standard rather then try to make your > own. Of course small additions would need to be added to make it valuable > for the Spark community, like a method similar to Gremlin's 'table' > function, that produces an RDD instead. > But there may be a lot of extra code and data structures that would need > to be added to make it work, and those may not be directly applicable to > all GraphX users. I think it would be best run as a separate module/project > that builds directly on top of GraphX. > > Kyle > > > > On Thu, Nov 6, 2014 at 4:39 PM, York, Brennon <brennon.y...@capitalone.com > > wrote: > >> My personal 2c is that, since GraphX is just beginning to provide a full >> featured graph API, I think it would be better to align with the TinkerPop >> group rather than roll our own. In my mind the benefits out way the >> detriments as follows: >> >> Benefits: >> * GraphX gains the ability to become another core tenant within the >> TinkerPop community allowing a more diverse group of users into the Spark >> ecosystem. >> * TinkerPop can continue to maintain and own a solid / feature-rich graph >> API that has already been accepted by a wide audience, relieving the >> pressure of “one off” API additions from the GraphX team. >> * GraphX can demonstrate its ability to be a key player in the GraphDB >> space sitting inline with other major distributions (Neo4j, Titan, etc.). >> * Allows for the abstract graph traversal logic (query API) to be owned >> and maintained by a group already proven on the topic. >> >> Drawbacks: >> * GraphX doesn’t own the API for its graph query capability. This could >> be seen as good or bad, but it might make GraphX-specific implementation >> additions more tricky (possibly). Also, GraphX will need to maintain the >> features described within the TinkerPop API as that might change in the >> future. >> >> From: Kushal Datta <kushal.da...@gmail.com> >> Date: Thursday, November 6, 2014 at 4:00 PM >> To: "York, Brennon" <brennon.y...@capitalone.com> >> Cc: Kyle Ellrott <kellr...@soe.ucsc.edu>, Reynold Xin < >> r...@databricks.com>, "dev@spark.apache.org" <dev@spark.apache.org>, >> Matthias Broecheler <matth...@thinkaurelius.com> >> >> Subject: Re: Implementing TinkerPop on top of GraphX >> >> Before we dive into the implementation details, what are the high level >> thoughts on Gremlin/GraphX? Scala already provides the procedural way to >> query graphs in GraphX today. So, today I can run >> g.vertices().filter().join() queries as OLAP in GraphX just like Tinkerpop3 >> Gremlin, of course sans the useful operators that Gremlin offers such as >> outE, inE, loop, as, dedup, etc. In that case is mapping Gremlin operators >> to GraphX api's a better approach or should we extend the existing set of >> transformations/actions that GraphX already offers with the useful >> operators from Gremlin? For example, we add as(), loop() and dedup() >> methods in VertexRDD and EdgeRDD. >> >> Either way we get a desperately needed graph query interface in GraphX. >> >> On Thu, Nov 6, 2014 at 3:25 PM, York, Brennon < >> brennon.y...@capitalone.com> wrote: >> >>> 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> >>> Date: Thursday, November 6, 2014 at 12:10 PM >>> To: Kushal Datta <kushal.da...@gmail.com> >>> Cc: Reynold Xin <r...@databricks.com>, "York, Brennon" < >>> brennon.y...@capitalone.com>, "dev@spark.apache.org" < >>> dev@spark.apache.org>, Matthias Broecheler <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> >>> 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> >>>> 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> >>>>> 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> >>>>> > 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 >>>>> > > >>>>> > > ________________________________________________________ >>>>> > > >>>>> > > The information contained in this e-mail is confidential and/or >>>>> > > proprietary to Capital One and/or its affiliates. The information >>>>> > > transmitted herewith is intended only for use by the individual or >>>>> entity >>>>> > > to which it is addressed. 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