Release Notes

4.1.2

RDF4J 4.1.2 is a patch release that fixes 6 issues.

For a complete overview, see all issues fixed in 4.1.2.

Acknowledgements

This release was made possible by contributions from Jerven Bolleman, Håvard Ottestad, Wolfgang Schell and nguyenm100.

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4.1.1

RDF4J 4.1.1 is a patch release that fixes 14 issues.

For a complete overview, see all issues fixed in 4.1.1.

Security

FasterXML Jackson Databind has been upgraded from version 2.11.4 to 2.13.3 which contains the mitigations for CVE-2020-36518.

Acknowledgements

This release was made possible by contributions from Håvard M. Ottestad, Bart Hanssens, Jeen Broekstra, Max Stolze, Wolfgang Schell, Peter John Lawrence, Andreas Schwarte and Jerven Bolleman.

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4.1.0

RDF4J 4.1.0 is a minor release that fixes 36 issues.

A few notable features:

Major performance improvements[1]
- 3x higher throughput for concurrent queries with the Memory Store
- 25x faster deletion with the Native Store
- 6x faster evaluation of SPARQL queries using MINUS with the Memory Store
- 2-3x faster evaluation of most SPARQL queries with the Memory Store
- Faster SPARQL query parsing
- Faster SHACL validation
- Passing the RDFS Reasoner Challenge posted by Justin
LMDB Store is available in the server and workbench
Fuzzy prefix support in the Lucene Sail
Improved handling of low memory in the Memory Store
Improvements to the Spring Components

For a complete overview, see all issues fixed in 4.1.0.

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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.