Adpart
Accelerating SPARQL Queries by Exploiting Hash-based Locality and Adaptive Partitioning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Archived Sansa Query | 31 | 4 years ago | apache-2.0 | Scala | ||||||
| SANSA Query Layer | ||||||||||
| S2rdf | 8 | 6 years ago | 2 | apache-2.0 | Java | |||||
| S2RDF (SPARQL on Spark for RDF) is a SPARQL query processor for Hadoop based on Spark SQL. It uses the relational interface of Spark for query execution and comes with a novel partitioning schema for RDF called ExtVP (Extended Vertical Partitioning) that is an extension of the Vertical Partitioning (VP) schema introduced by Abadi et al. ExtVP enables to exclude unnecessary data from query processing by taking into account the possible relations between tables in VP. | ||||||||||
| Adpart | 5 | 8 years ago | 4 | C++ | ||||||
| Accelerating SPARQL Queries by Exploiting Hash-based Locality and Adaptive Partitioning | ||||||||||
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