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
Centeralized Experiments
Hardware and Software Configurations
Our experiments have been executed on a Desktop PC running a Cloudera Virtual Machine (VM) v.5.13 with Centos v7.3 Linux system, running on Intel(R) Core(TM) i5-8250U 1.60 GHz X64-based CPU and 24 GB DDR3 of physical memory. We also used a 64GB virtual hard drive for our VM. We used Spark V2.3 parcel on Cloudera VM to fully support Spark-SQL capabilities. We used the already installed Hive service on Cloudera VM (version:hive-1.1.0+cdh5.16.1+1431). We have installed a relational DB PostgreSQL (V. 11.4).
Query Performance, Schema and Storage Backends Analysis
you can find details about analysis of these previous centralized experiments results in our published paper.
Query Performance Results
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100K Results
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1M Results
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10M Results
Storage Backends Performance Results
Tthe following two tables report how many times a particular storage backend achieves the best or the lowest performance, respectively, considering the resultsof all experiments.
