SPARKSQL RDF Benchmark.
A systematic Benchmarking on the performance of Spark-SQL for processing Vast RDF datasets
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This project is maintained by DataSystemsGroupUT
The effect of partitioning and storage formats on the performance of schemata (ExtVP/VP , and WPT/PT) (100M Triples Dataset Results)
WPT Vs. PT schemata performance using different partitioning techniques and file formats
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**Impact on WPT VS. PT **
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CSV-Horizontal Partitioning
- CSV-Subject-based Partitioning
- AVRO-Horizontal Partitioning
- AVRO-Subject-based Partitioning
- ORC-Horizontal Partitioning
- ORC-Subject-based Partitioning
- Parquet-Horizontal Partitioning
- Parquet-Subject-based Partitioning
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**Impact on ExtVP VS. VP **
-
CSV-Horizontal Partitioning
- CSV-Subject-based Partitioning
- CSV-Predicate-based Partitioning
- AVRO-Horizontal Partitioning
- AVRO-Subject-based Partitioning
- AVRO-Predicate-based Partitioning
- ORC-Horizontal Partitioning
- ORC-Subject-based Partitioning
- ORC-Predicate-based Partitioning
- Parquet-Horizontal Partitioning
- Parquet-Subject-based Partitioning
- Parquet-Predicate-based Partitioning
