Hi Vinayak, Your properties file says: spark.master=spark://127.0.0.1:7077 Do you have a spark standalone cluster running? Does the spark master reside on 127.0.0.1 and does it listen on 7077? With sp

Hi Vinayak, For other readers, see also this other recent thread. A couple of remarks: In the separate edge count does it make any difference if you select the edges by label rather than by property,

Hi, JanusGraph keeps a record of open instances that sometimes is not updated properly. You can clean it with the methods here: https://docs.janusgraph.org/advanced-topics/recovery/#janusgraph-instanc

https://github.com/JanusGraph/janusgraph/issues/2558

Hi Anton, No, my last post only concerned the gremlin server on port 8185, although the first line of step3 should have been (This was a hand edit error): :remote connect tinkerpop.server conf/remote8

You could also check the scenario at line 65 of: https://github.com/JanusGraph/janusgraph/blob/master/janusgraph-server/src/test/java/org/janusgraph/graphdb/tinkerpop/ConfigurationManagementGraphServe

Hi Anton, OK, it took me some time to reach your level of understanding, but hopefully the scenario below really starts adding to our common understanding. While the issue hurts you in a setup with mu

Hi Anton, I did not feel like debugging your docker-compose file, but I could not find any test covering your scenario on github/janusgraph either, so I just replayed your scenario with the default ja

Hi Anton, If I do a $ docker run janusgraph/janusgraph:latest the logs show it runs with the berkeleyje backend. If I look at: https://github.com/JanusGraph/janusgraph-docker/blob/master/0.5/Dockerfil

Hi Adrian, What happens if you rewrite the query to: lmg.traversal().V(analysisVertex).out().emit().repeat( __.in().choose( __.hasLabel("result"), __.has("analysisId", analysisId), __.identity() ) ).t

Hi, You did not answer my questions about the "id" poperty. TinkerPop uses a Token.ID that has the value 'id', see: https://github.com/apache/tinkerpop/blob/master/gremlin-core/src/main/java/org/apach

Hi Fredrick, You are right, this is an issue, so if you want to report this: thanks. Best wishes, Marc

Hi Srinivas, In the yaml file determining class Settings you use the channelizer key twice. If you use ConfigurationManagentGraph only the following line should be present: channelizer: org.janusgraph

Hi Vinayak, Another attempt, this one is very similar to the one that works. gremlin> graph = JanusGraphFactory.open('conf/janusgraph-inmemory.properties') ==>standardjanusgraph[inmemory:[127.0.0.1]]

Hi Vinayak, Referring to you last post, what happens if you use aggregate(local, 'v') and aggregate(local, 'e'). The local modifier makes the aggregate() step lazy, which hopefully gives janusgraph mo

Hi, Because TinkerPop and JanusGraph do not ship with spark-yarn, all kinds of library conflict can occur when you start using spark-yarn. Since my blog from some years ago, where it was possible to a

Hi Srinivas, No, you would not want to close the current instance, because it would close you out from further commands. This current instance will close automatically when exiting the gremlin console

Hi Srinavas, OK, I guess I was not clear enough. The line with JanusGraphFactory should run locally in the gremlin console. This implies that you have to run gremlin console on the server host, or tha

Hi Vinayak, From gremlin console: gremlin> graph = JanusGraphFactory.open('conf/your_config_with_right_keyspace.properties') ==>standardjanusgraph[cassandra:] gremlin> g = graph.traversal() vertices =

Hi Srinivas, You can open all graphs one by one from the gremlin console using JanusGraphFactory and the corresponding properties files. Best wishes, Marc