Fork of https://github.com/oxigraph/oxigraph.git for the purpose of NextGraph project
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38 lines
2.0 KiB
38 lines
2.0 KiB
5 years ago
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BSBM
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====
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The [Berlin SPARQL Benchmark (BSBM)](http://wifo5-03.informatik.uni-mannheim.de/bizer/berlinsparqlbenchmark/) is a simple SPARQL benchmark.
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It provides a dataset generator and multiple set of queries grouped by "use cases".
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## Results
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We compare here Oxigraph with some existing SPARQL implementations (Blazegraph, Virtuoso and GraphDB).
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The dataset used in the following charts is generated with 10k "products" (see [its spec](http://wifo5-03.informatik.uni-mannheim.de/bizer/berlinsparqlbenchmark/spec/Dataset/index.html)). It leads to the creation of 3.5M triples.
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It has been executed on a Dell Precision 5520 with 16GB of RAM. For Oxigraph, available memory has been limited to 1GB.
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### Explore
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The [explore use case](http://wifo5-03.informatik.uni-mannheim.de/bizer/berlinsparqlbenchmark/spec/ExploreUseCase/index.html) is composed of 11 queries that do simple data retrieval.
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Query 6 existed in previous versions of the benchmark as is now removed.
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### Business Intelligence
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The [business intelligence use case](http://wifo5-03.informatik.uni-mannheim.de/bizer/berlinsparqlbenchmark/spec/BusinessIntelligenceUseCase/index.html) is composed of 8 complex analytics queries.
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Query 4 seems to be failing on Virtuoso and query 5 on Blazegraph and GraphDB.
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## How to reproduce the benchmark
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The code of the benchmark is in the `bsbm-tools` submodule. You should pull it with a `git submodule update` before running the benchmark.
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To run the benchmark for Oxigraph run `bash bsbm_oxigraph.sh`. It will compile the current Oxigraph code and run the benchmark against it.
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You could tweak the number of products in the dataset and the available memory using the environment variables at the beginning of `bsbm_oxigraph.sh`.
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To generate the plots run `python3 bsbsm-plot.py`.
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Scripts are also provided for the other benchmarks (`bsbm_blazegraph.sh`, `bsbm_graphdb.sh` and `bsbm_virtuoso.sh`).
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