That's exciting! Thanks all for your contributions to the project. Looking
forward to this major release.
s
On Tuesday, October 16, 2018 at 8:49:03 AM UTC-5, Gunnar Aastrand Grimnes
wrote:
>
> Hi Nicholas,
>
> (I've CC'd the rdflib-dev mailing list as well - so that everyone is on
> board!)
g of storage back ends, I implemented a
back end for LMDB which I am quite happy with so far:
https://github.com/scossu/lakesuperior/blob/master/lakesuperior/store/ldp_rs/lmdb_store.py
It is quite embedded in specific features of my project but I thought it
would be interesting to share (and prob
Hello,
I am working on an alternate back end implementation of the Store interface
that uses LMDB as its persistence layer:
https://github.com/scossu/lakesuperior/blob/lmdb_strategy5/lakesuperior/store_layouts/ldp_rs/lmdb_store.py
I noticed that the Dataset class passes a Graph instance to the
Hello,
I am also trying to construct a SPARQL update string from a parsed query
structure.
E.g. I want to parse a query, validate and possibly alter some elements,
and then submit the modified query to a graph.
Is Mark's approach the only one available to do that, i.e. do I have to use
separ
Hello,
As I dig into the persistence options available for RDFLib it seems like
the only one that clearly offers transaction support is the SPARQL store. I
am also very happy to see that the "dirty reads" option is available in the
snapshot version, which is fundamental for me to perform atomic
UTC-6, scossu wrote:
>
> Hello,
> I am writing a Flask app that uses RDFLib to interact with a back end RDF
> store. I am testing with two different setups, one using the
> SPARQLUpdateStore connector and one using the Sleepycat one.
>
> At the moment I am initiating the st
Hello,
I am writing a Flask app that uses RDFLib to interact with a back end RDF
store. I am testing with two different setups, one using the
SPARQLUpdateStore connector and one using the Sleepycat one.
At the moment I am initiating the store connection in the Flask app
initialization phase;
Hello,
Having the following mock data set, backed by Jena Fuseki, with a triple in
a graph:
>>> store =
SPARQLUpdateStore(queryEndpoint='http://localhost:3030/dev/query',
update_endpoint='http://localhost:3030/dev/update')
>>> ds = Dataset(store, default_union=True)
>>> gr = ds.graph(URIRef(
