TPC-H_SF10
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Updated
Jul 11, 2023 - Jupyter Notebook
TPC-H_SF10
This python tool helps managing DBMS benchmarking experiments in a Kubernetes-based HPC cluster environment. It enables users to configure hardware / software setups for easily repeating tests over varying configurations.
Source code of "Accelerating Multi-way Joins on the GPU", accepted by VLDBJ'22 - By Dr. Zhuohang Lai, Xibo Sun, Prof. Qiong Luo, and Xiaolong Xie
Data & query generation utilities for the TPC-H benchmark (unified repository)
TPC-H Benchmark helper for MySQL and MariaDB
A performance comparison of PostgreSQL 15.4 and 16.0 based on the YCSB, TPC-C and TPC-H
The Query Visualiser takes in a query as an input and outputs the most efficient query execution plan
A repo containing parallel, high-performance TPC-H data generation utilities
Python bindings to TPC-H data generation
Greenplum TPC-H benchmark
PostgreSQL price-performance benchmark results for OTC RDS, AWS RDS and Azure Flexible Server
Online Resources for the Paper 'Quantifying TPC-H Choke Points and Their Optimizations'
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