Hi Marko, all,
 I was wondering where things left off for this work. Mostly because 
distributed Gremlin OLTP sounded promising but also because we use both DSE 
Graph and Akka at my work. 

I noticed in Git that it hasn't been worked on lately. Did you hit a wall 
with this approach? If so, can anyone share what issues you faced? Do you 
think there might be a new effort for distributed OLTP or did the OLAP 
engine improve to the point where distributed OLTP isn't necessary?

Thanks for any info,

--Eric

On Monday, December 19, 2016 at 9:02:12 AM UTC-8, Marko A. Rodriguez wrote:
>
> Hi,
>
> > Thus, I don’t think GremlinServer really needs to come into play.
>
> Unless i'm missing something, I'm not sure we should say it quite that way 
> - that's a bit more jvm-centric sounding. So as not to be confused, non-jvm 
> GLVs would still require Gremlin Server, right?
>
>
> I think it gets back to “anything that supports RemoteConnection” to 
> accept the traversal (RemoteStrategy) and then "anything that implements 
> GraphActors” to execute the traversal (ActorProgramStrategy).
>
> Marko.
>
>
>
>
> On Thu, Dec 15, 2016 at 11:47 AM, Marko Rodriguez <okram...@gmail.com 
> <javascript:>> wrote:
>
>> Hi,
>>
>> How will this get deployed? Each database instance (alternatively 
>> gremlin-server) shipping a version of akka-actor and akka-cluster?
>>
>>
>> This is a good question. As I’m seeing it lately, I think we treat it 
>> just like spark-gremlin/. That is, lets assume a multi-machine graph 
>> database:
>>
>> 1. User has a graph database across 3 nodes in a cluster.
>> 2. User has Akka Cluster setup on those 3 nodes. (like they would have 
>> SparkServer or Hadoop).
>> 3. akka-gremlin/ “jobs” have a configuration with information about the 
>> Akka cluster and the graph database partitions.
>>
>> Thus, I don’t think GremlinServer really needs to come into play. 
>> However, I sort of think that down the line, GremlinServer should support 
>> the spawning of “services.” For instance, it would be great if 
>> GremlinServer, when deployed, it could spawn a SparkServer cluster or an 
>> Akka Cluster… This removes the headache for users having to install and 
>> configure stuff. It would be great if GremlinServer was like a Docker or 
>> something.
>>
>> bin/gremlin-server.sh —i akka.gremlin.plugin —c akka.properties
>>
>> Dunno. Stephen would have more to say.
>>
>> What does it mean for performance? Here's my understanding... thoughts?
>>
>> 1. *A sharded graph database*: as long as the data is local it'll scale 
>> linearly, then it needs some synchronisation (i.e. hand off the traversal 
>> to the instance where the data is local again). I.e. there'll be a sweet 
>> spot of replication vs. shards for each use case. 
>> 2. *A replicated graph database*: should scale linearly for most 
>> traversals
>> 3. *A single machine graph database*: should scale linearly for most 
>> traversals
>>
>>
>> So there will be traverser migration when a traverser no longer 
>> references data in its current partition. That is a message pass. You don’t 
>> want just full replication because then you aren’t load balancing your 
>> traversals across machines. Even if you have a replicated graph database, 
>> you will want to create logical partitions so that traversers will be 
>> forced to move between machines. When its worth doing that or when you 
>> should just use standard iterator Gremlin execution is a fine line… how 
>> much data will your traversal touch?
>>
>> Marko.
>>
>>
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