graphdb | sqlite based graph database for storing native python | Database library

The documentation here https://neo4j.com/docs/graph-data-science/1.1/algorithms/bfs/#algorithms-bfs describes a callable "gds.alpha.bfs.stream".

In order to call that, to the best of my knowledge, it needs to be registered with the embedded DB. Something along the lines of

I'm having problems adding a jdbc driver when creating an Ontop virtual SPARQL repository. I follow the instructions here. The interface already warns that there is no JDBC driver found in the classpath. There is also a link to the download site where you can get the drivers. That all works. But adding the driver to the lib path (in the case of a Linux installation \opt\graphdb-free\app\lib) and then restarting GraphDB does not work. GraphDB is still reporting that the driver is not found.

I did try a lot of things. Adding the correct .jar to the CLASSPATH did not work. Using several other potential lib directories (the instructions are not precise on which directory to choose) also changed nothing. Then I took a look in the files you can create under Help - System Information - New Report. I found that all the .jar files in \opt\graphdb-free\app\lib were 'registered' (don't know if that is the correct term), but not the new one I placed there.

Tried adding other .jars (for MS SQL, next to the MySQL that I needed). Same problem. Then I tried something weird that actually worked. I renamed a .jar that I thought I wouldn't need to .backup and then renamed the mysql driver .jar to that original .jar (hope this is not to confusing). Restarted Grapdb and it worked!

What am I missing here? Is the list of .jars that are in the lib directory hardcoded somewhere? Very curious how to configure this the right way.

I'm trying to convert a very large JSON file to JSON-LD. When I import the example code below into GraphDB, db:metadata becomes a property/predicate connecting each GeneSet:setX node with an automatically created blank node _:bX (gray in figure), from which the properties set_name and set_id then point to their corresponding values.

I'm switching from Neo4j Java custom procedures to an approach based on the Neo4j Java driver. I want to end up with some sort of microservice running my graph algorithm, instead of calling the custom procedure through Cypher. I implemented the traversal using a bunch of standard HashMaps: Once the data is loaded from Neo4j to these HashMaps, the graph traversal is much faster than in my original custom procedure, so that's very promising.

Now to my question: Within the custom procedure I was able to load the graph (40 mio edges, 10 mio nodes) to the Hashmaps like so:

I am using following code to connect to gremlin (JanusGraph) server and execute addV in transaction. My code works fine and it add Vertex properly, but code shows following warnings: "The type GryoMessageSerializerV3d0 is deprecated" & The method getInstance() from the type JanusGraphIoRegistry is deprecated

So would like to know how can i get these warning resolved. Please find my code below:

integrating my streams topics into fabric functionality is not working. Attempting to sink my first topic into a named graph produced the message below.
I did follow the instructions provided by links to no avail.

Am I missing someting?

The Neo4j log Error:

ErrorData(originalTopic=twoPoly, timestamp=1620757269838, partition=0, offset=1481, exception=org.neo4j.graphdb.QueryExecutionException: The USE GRAPH clause is not available in this implementation of Cypher due to lack of support for USE graph selector. (line 1, column 29 (offset: 28)) "UNWIND $events AS event use integerpolys MERGE (i:IndexedBy {N:event.NN,RowCounter:event.flatFileRowCounterr,MaxN:event.nMaxx,Dimension:"2"} ) MERGE (t:TwoSeqFactor {twoSeq:event.tSeqDB} ) MERGE (v:VertexNode {Vertex:event.vertexDBVertex,Scalar:event.vertexScalarDB,Degree:event.vertexDegreeDB} ) MERGE (e:Evaluate {Value:event.targetEvaluate}) MERGE (i)-[ee:TwoFactor]->(t) MERGE (i) -[:IndexedByEvaluate]->(e) MERGE (i)-[:VertexIndexedBy]->(v)" ^, key=null, value={"NN":"7","nMaxx":"8","vertexDBVertex":"1 -8 1 0 0","bTermDB":"1","flatFileRowCounterr":"6","targetEvaluate":"128","vertexDB":"1 -8 1 0 0","vertexScalarDB":"-8","tSeqDB":"32","vertexDegreeDB":"1"}, executingClass=class streams.kafka.KafkaAutoCommitEventConsumer)

Neo4j version 4.1.0

Relevant neo4j.conf:

I have an ontology in Protege.

When I add an object property like X worksFor Y, and then load the rdf to graphdb, it generates 3 triples with subject = blank node, property = owl:someValuesFrom, owl:onProperty, owl:rdfType, and then it adds a triple that states X rdf:subClassOf Y.

Is this correct?

What is the logic behind this?

Here is an example of what I'm doing:

This is the ontology in Protege. I made a small version that addresses this specific issue. I save it as rdf and then load it in GraphDb

And here is what I get in GraphDb after loading the rdf from the ontology.

I hope this helps to better understand the question.

I have installed GraphDB on Ubunto 20.4. How can I get the directory where there are the GraphDB executables.

Following error shows up in JanusGraph v0.5.3 server logs while retrieving edges from java client