- How to upload rdf bulk data to janus graph
Re: How to upload rdf bulk data to janus graph
Arpan Jain <arpan...@...>
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All these properties I need to set in the Janusgraph properties file right? I mean the config on which the server is starting. I mean the file where we set the backend storage and host etc.
Try to enable batch loading: "storage.batch-loading=true".
Increase your batch mutations buffer: "storage.buffer-size=20480".
Increase ids block size: "ids.block-size=10000000".
Not sure if your flows just adds or upserts data. In case it upserts you may also set "query.batch=true".
That said, I didn't use rdf2gremlin and can't suggest much. Above configurations are just options which I can immediately think of. Of course a proper investigation should be done to suggest performance improvement. You may additionally optimize your ScyllaDB for your use cases.
On Thursday, December 24, 2020 at 12:24:10 PM UTC+2 ar...@...
I have data in RDF(ttl) format. It is having around 6 million triplets. Currently, I have used rdf2gremlin python script for this conversion but it's taking to much time i.e. for 10k records it took around 1 hour. I am using Scylla DB as a Janus graph backend. Below is the python code I am using.
from rdf2g import setup_graph
DEFAULT_LOCAL_CONNECTION_STRING = "ws://localhost:8182/gremlin"
g = setup_graph(DEFAULT_LOCAL_CONNECTION_STRING)
OUTPUT_FILE_LAM_PROPERTIES = pathlib.Path("path/to/ttl/file/.ttl").resolve()
rdf_graph = rdflib.Graph()
Same RDF data in neo4j is taking around only 10 mins to load the whole data. But I want to use the Janus graph.
Kindly suggest to me the best way to upload bulk RDF data to Janus graph using python or java.
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