Code Monkey home page Code Monkey logo

m2bench's Introduction

  • M2Bench is a new benchmark program capable of evaluating a multi-model DBMS.
  • M2Bench supports several important data models including relational, document-oriented, property graph and array models.
  • M2Bench consists of multi-model workloads that are inspired by real-world problems.
  • Each task of the workloads mimics a real-world problem that involves at least two different models of data.

Before Getting Started

  • If you need a support during reproducing this work, feel free to contact us.
  • We highly recommend to use the described versions of software with Ubuntu 18.04 that we used for the publication.

Software Versions

DBMS versions used for the experiment in the paper are as follows.

  • Polyglot: MySQL 8.0.25, MongoDB 4.2.6, Neo4j 4.0.3, and SciDB 19.11.5.
  • ArangoDB 3.7.12
  • AgensGraph 2.1.3 (based on PostgreSQL 10.4)

For SciDB installation, please refer to the description for Polyglot (Impl/Polyglot/README.md).

Each data generator, data scaler, and client program of Polyglot needs different prerequisites to run them. For such dependencies, we will describe those in a description of each part.

How to Run M2Bench

In order to run M2Bench, please follow the below steps.

  1. Generate datasets of M2Bench following the instructions in Datasets/README.md.
  2. Choose one of Polyglot, AgensGraph, and ArangoDB. Refer to the chosen DBMS as X.
  3. Load the datasets into DBMS X and run tasks, following the instructions in Impl/X/README.md.

Directory Overview

  • All datasets in M2Bench are explained in the Datasets folder.
  • Data loading scripts and query implementations are stored in the Impl directory.
  • All tasks in M2Bench are explained in the /Tasks/alltasks.md file.
m2bench
├── Datasets
│   ├── ecommerce           # Generated e-commerce data
│   ├── healthcare          # Generated healthcare data
│   ├── disaster            # Generated disaster & safety data
│   ├── DataScaler          # Data scaler
│   ├── Generator           # Data generator        
│   └── README.md           # How to generate the datasets of M2Bench from the realworld datasets.
├── Tasks                   
|   └── alltasks.md         # Description of all tasks of M2Bench
├── Impl                    # Implementation of tasks of M2Bench on various DBMSs
│   ├── agensgraph  
│   │   ├── load_datasets   # How to load datasets into DBMS
│   │   └── run_tasks       # How to run tasks
│   ├── arangodb
│   │   ├── load_datasets 
│   │   └── run_tasks
│   └── polyglot            # polyglot persistence
│       ├── load_datasets
│       └── run_tasks
├── README.md
└── LICENSE

m2bench's People

Contributors

chloeshkim avatar grammaright avatar kbgksj avatar undraaa avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.