Hello,

>  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. 

It still is very promising 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?

I just haven’t coded in a long time. I’ve been working on other things lately 
(primarily research). As such, I have put this body of work on the back burner. 
I suspect it will ultimately get its debut in TinkerPop4.

Thanks,
Marko.


> 
> 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 <[email protected] 
>> <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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