gStore is a graph database engine for managing large graph-structured data, which is open-source and targets at Linux. This project is written in C++, with the help of some libraries such as readline, antlr, and so on. Only source tarballs are provided currently, which means you have to compile the source code if you want to use gStore.

The formal help document is in English(EN) and 中文(ZH).

The formal experiment result is in Experiment.

We have built an IRC channel named #gStore on freenode, and you can visit the homepage of gStore.

This system is really user-friendly and you can pick it up in several minutes. Remember to check your platform where you want to run this system by viewing System Requirements. After all are verified, please get this project's source code. There are several ways to do this:

(suggested)type git clone https://github.com/pkumod/gStore.git in your terminal or use git GUI to acquire it

download the zip from this repository and extract it

fork this repository in your github account

Then you need to compile the project, for the first time you need to type make pre to prepare the ANTLR library and some Lexer/Parser programs. Later you do not need to type this command again, just use the make command in the home directory of gStore, then all executables will be generated. (For faster compiling speed, use make -j4 instead, using how many threads is up to your machine) To check the correctness of the program, please type make test command.

The first strategy is suggested to get the source code because you can easily acquire the updates of the code by typing git pull in the home directory of gStore repository. In addition, you can directly check the version of the code by typing git log to see the commit logs. If you want to use code from other branches instead of master branch, like 'dev' branch, then:

clone the master branch and type git checkout dev in your terminal

clone the dev branch directly by typing git clone -b dev

You can easily deploy gStore via Docker. We provide both of Dockerfile and docker image. Please see our Docker Deployment Doc(EN) or Docker部署文档(中文) for details.

To run gStore, please type bin/gbuild database_name dataset_path to build a database named by yourself. And you can use bin/gquery database_name command to query an existing database. What is more, bin/ghttp is a wonderful tool designed for you, as a database server which can be accessed via HTTP protocol. Notice that all commands should be typed in the root directory of gStore, and your database name should not end with ".db".

If you want to understand the details of the gStore system, or you want to try some advanced operations(for example, using the API, server/client), please see the chapters below.

Basic Introduction: introduce the theory and features of gStore

Install Guide: instructions on how to install this system

How To Use: detailed information about using the gStore system

API Explanation: guide you to develop applications based on our API

Project Structure: show the whole structure and process of this project

Related Essays: contain essays and publications related with gStore

Update Logs: keep the logs of the system updates

Test Results: present the test results of a series of experiments

Bugs are recorded in BUG REPORT. You are welcomed to submit the bugs you discover if they do not exist in this file.

We have written a series of short essays addressing recurring challenges in using gStore to realize applications, which are placed in Recipe Book.

You are welcome to report any advice or errors in the github Issues part of this repository, if not requiring in-time reply. However, if you want to urgent on us to deal with your reports, please email to [email protected] to submit your suggestions and report bugs. A full list of our whole team is in Mailing List.

There are some restrictions when you use the current gStore project, you can see them on Limit Description.

Sometimes you may find some strange phenomena(but not wrong case), or something hard to understand/solve(don't know how to do next), then do not hesitate to visit the Frequently Asked Questions page.

Graph database engine is a new area and we are still trying to go further. Things we plan to do next is in Future Plan chapter, and we hope more and more people will support or even join us. You can support in many ways:

watch/star our project

fork this repository and submit pull requests to us

download and use this system, report bugs or suggestions

...

People who inspire us or contribute to this project will be listed in the Thanks List chapter.