Release Notes

5.2.0

RDF4J 5.2.0 is a minor release that fixes 9 issues.

Highlights

Explain plans over HTTP. You can now request EXPLAIN via the REST API, making it easier to diagnose and tune slow SPARQL queries.
SPARQL queries using MINUS and OPTIONAL clauses are significantly faster.
Performance improvements to the LMDB Store, reducing query time by an average of 50% and reducing overhead for concurrent queries.
Configurable LMDB GC. A new valueEvictionInterval lets you tune (or disable) LMDB value‑cache garbage collection to balance latency vs. memory.

Other improvements

Higher bulk‑ingest throughput for Sails that build on AbstractSailConnection thanks to an experimental bulk‑add hook.
SPARQL UPDATE operations now show up in the query/update logs.

Bug fixes

Geospatial accuracy (Lucene). Filters like ehContains now correctly exclude geometries outside the requested area when a resource has multiple shapes.
Namespace operations on unknown repositories now return 404 instead of 500.
The SPARQL parser now rejects invalid CONSTRUCT templates that contain property paths, with a clear error.

For a complete overview, see all issues fixed in 5.2.0.

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5.1.6

RDF4J 5.1.6 is a patch release that fixes 12 issues.

For a complete overview, see all issues fixed in 5.1.6.

Acknowledgements

This release was made possible by contributions from Jerven Bolleman, Piotr Sowiński, Håvard M. Ottestad and kenwenzel.

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5.1.5

RDF4J 5.1.5 is a patch release that fixes 5 issues.

For a complete overview, see all issues fixed in 5.1.5.

Acknowledgements

This release was made possible by contributions from Andreas Schwarte, manuelfiorelli, Kacper Grzymkowski.

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About

Eclipse RDF4J™ is a powerful Java framework for processing and handling RDF data. This includes creating, parsing, scalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected to all leading RDF database solutions. It allows you to connect with SPARQL endpoints and create applications that leverage the power of linked data and Semantic Web.