Hi Vinayak, You can try below query, it can use index and combine as many traversals you want. g.inject(1). union ( V().has('title', 'V1'). outE().hasLabel('E1').inV().has('title', 'V2'),

Hi, cmilowka, The property title has a composite index created on it. Further modified the query as follows: g.V().has('title',within('V1','V2')).union(has('title',

I guess, building composite index for 'title' property will do the job of accessing title(V1) and title(V2) fast, without full scan of DB as currently does. cheers, CM

Hi Alessandro, I'm also working through a similar use-case with AWS EMR, but I'm running into some Hadoop class errors. What version of EMR are you using? Additionally, if you could pass along the

Hi Marc, the Tinkerpop example works correctly. We are actually using Scylla, and with 256 tokens per node I am getting 768 tasks in the Spark job (which I correctly see listed in the UI). The

Hi All, I need to select multiple nodes and edges and display the content in v1 - e - v2 format. The query generated is as follows: g.V().union(has('title',

Hi Fredrick! First of all, thanks for your contribution! How did you try to squash the commits? In the PR, I still see a total of eight commits so it appears your squash didn't work for some

Hi Claire In our earlier attempts to work with JG OLAP, we hit the bottleneck / bounded by scylla virtual token ring count (it appears thats the unit of parallelism while bulk export) Can you please

Also the https://github.com/JanusGraph/janusgraph/blob/master/CONTRIBUTING.md is probably out of date. It recommends getting help from... ...but that group appears to no longer exist. I presume that

I have a pull request which contains commits which have not been properly signed. I have tried to squash the commits and have made things worse. Here is a link to the pull

Hi Alessandro, I assume Amazon EMR uses hadoop-yarn, so you need to specify spark.master = yarn, see: https://tinkerpop.apache.org/docs/current/recipes/#olap-spark-yarn Once you can run the TinkerPop

Hello everyone, is there anyone with experience of running OLAP on an AWS EMR cluster? I am currently trying to do so, but strange things are happening. The first one is that the application is not

Hi Marc, problem is that Janusgraph uses tokenised field for "neq" comparisons and non tokenised for "eq". For example for a property "x" tokenised field in ES will have the name "x" and

Hi cedtwo! The Janusgraph-FDB adapter was never officially supported because it has not left the early stages of development. Although there is some interest in the community, it appears no one is

Hi Sergej, The example string "??" you used was not an ordinary string. Apparently, somewhere in elasticsearch it is interpreted as a wildcard. See my transcript below with some other property value

Hi. Back in January I opened an issue on the FDB adapter github page to bring attention to issues I had following the README.md. Despite framing the question as issues following the documentation, I

Hi Marc, from the gremlin console, I get: .with(IO.reader, IO.graphml).read().iterate()] - Batch too large org.apache.tinkerpop.gremlin.jsr223.console.RemoteException: Batch too large at

Hi Marc, something like this var index = janusGraphManagement. buildIndex("indexname", org.apache.tinkerpop.gremlin.structure.Vertex.class) var xproperty =

Hi Carlos, I read the preceding discussion with Stephen Mallette, which says: From the logs, while loading this graph, Cassandra driver is almost always warning that all batches are over the limit of

Hi all, I'm trying to load a graphml export into janusgraph 0.5.3. not quite big (1.68M nodes, 8.8M edges). However, I reach a point where Tinkerpop layer tells me that the Batch is too large and it