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ad-freiburg / qlever

Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.
Apache License 2.0
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Docker quickstart doc #1365

Closed NicoLaval closed 6 days ago

NicoLaval commented 4 months ago

I tried to follow the quickstart doc with the olympic sample.

When I tried to index data with:

 chmod o+w . && docker run -it --rm -v $QLEVER_HOME/qlever-indices/olympics:/index --entrypoint bash adfreiburg/qlever -c "cd /index && xzcat olympics.nt.xz | IndexBuilderMain -F ttl -f - -l -i olympics -s olympics.settings.json | tee olympics.index-log.txt"

I received the following error:

Error in command-line argument: unrecognised option '-l'
Options for IndexBuilderMain:
...

Any help appreciated.

joka921 commented 3 months ago

Hi @NicoLaval You should use the qlever control script (See the Quickstart section of the README.md) to get started with QLever. It automatically runs QLever via Docker with the correct settings.

hannahbast commented 6 days ago

@NicoLaval Since there was no more reaction, I am closing this now. Feel free to reopen if there are still question. Note that the qlever command-line tool aka qlever script has developed a lot since then, see the section Quickstart