Hi Marc, The output of nodetool gives: Number of partitions (estimate): 967 the whole output is attached as "nodetool_log.txt". Regarding the Spark configuration - Yes I have used the guides from the

In my work,i disabled a composite index inorder to remove it,I have confirm that the index status is DISABLE, but it can't be remove by SchamaAction.REMOVE_INDEX operation. when i check the index, it

Hi Dimitar, The number 513 is probably the number of Cassandra partitions. You can inspect the number of partitions in the tables of the Cassandra cluster with: $ nodetool tablestats

Thanks @pluradj for helping out. The problem we were facing while using JanusGraph is that, the data we have loaded in our system was loaded one time, as a batch job quite early. We have a dataset

First of all version `0.4.0` doesn't support ES version 7. Version 0.5.0 supports ES 7 but it isn't released yet. You may build your own jars from source code to support ES version 7. Also, I see that

You can build your own jars from source code (master branch is 0.5.0 branch). "mvn clean install -DskipTests=true". Then you can use necessary jars in your project. Just don't include CI jars in your

Hi, I have a Gremlin Server Running v3.3.3 I am connecting to it remotely to run my gremlin queries via Java. But recently I'm bombarded with this

Hello, For my tests, I want to use embedded janusGraph with inmemory storage but without transaction supports. I found the option storage.transactions in

Hello, I have setup Janusgraph 0.4.0 with Hadoop 2.9.0 and Spark 2.4.4 in a K8s cluster. I connect to Janusgraph from gremlin console and execute: It takes 25min to do the count! The same time took

We are using Elastic Search 7.3.2 as index backend. Janusgraph latest version 0.4.0 doesn't support this version but 0.5.0 supports. When is the release date for 0.5.0? If it is far, any workaround

I have upgraded janus version to 0.4.0 and tinker pop version to 3.4.1. Index Backend ES version: 7.3.2 Cassandra Version: 3.3.0 After the upgrade, I am getting this error. Any idea what's happening

- Did you increase the block-size? It should large than number of vertices you want insert in the bulk load. (ids.block-size * ids.renew-percentage should be large than the vertices to insert

Hi, Currently, I am getting this error: java.lang.ClassCastException: org.apache.hadoop.yarn.proto.YarnServiceProtos$GetNewApplicationRequestProto cannot be cast to

Hi Abhay, It seems to work fine now unless I am overseeing something. Why do you think it should not? It also worked beforehand on using the spark.master=local setting. Thanks, Lilly Am Mittwoch,

Hi Marc, Great this dependency plugin is precisely what I needed!! I tried to manually figure this out via maven central but one goes crazy that way! It now works perfect thanks so much! Lilly Am

Hi Lilly, SparkGraphComputer will not support direct gremlin queries using Java programs. You can try using this as below. String query = "g.V().count()"; ComputerResult result =

There is a small change in last line of the python code. Updated code from gremlin_python.driver import client client = client.Client('ws://localhost:8182/gremlin', 'g') mgmtScript = "mgmt =

Hi,For a use case, I'm trying to create a vertex with some list properties which contains large number of elements using gremlin-python. But the server gets crashed and I'm getting

Hi Lilly, This error says that are somehow two versions of the TinkerPop jars in your project. If you use maven you check this with the dependency plugin. If other problems appear, also be sure that

Hi, for below sample code. storage backend is Hbase, "name" is used as index, it will at least has two rows update: but what if index update succeed while vertex update failed(throw exception).