Benchmarking JSON Document Stores in Practice
This repository contains an excerpt of the data and queries generated for our recent study on JSON document stores, for which we used DeepBench - a benchmark for document stores:
- Analytical Workloads – BI Benchmark (we refer to https://github.com/cwida/public_bi_benchmark, not in this repository)
- Querying Nested JSON Objects: query, data, config
- Case Study: Improving Queries on Nested JSON Arrays: query, data, config
Citation:
If you build on or use this work, cite DeepBench benchmark
@inproceedings{DBLP:conf/dbtest-ws/Belloni0SR22,
author = {Stefano Belloni and
Daniel Ritter and
Marco Schr{\"{o}}der and
Nils R{\"{o}}rup},
title = {DeepBench: Benchmarking {JSON} Document Stores},
booktitle = {DBTest@SIGMOD},
pages = {1--9},
publisher = {{ACM}},
year = {2022},
url = {https://doi.org/10.1145/3531348.3532176},
doi = {10.1145/3531348.3532176},
timestamp = {Wed, 01 Jun 2022 15:46:27 +0200},
biburl = {https://dblp.org/rec/conf/dbtest-ws/Belloni0SR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}