Getting Started

Environment Setup

To run TrainDB, the following environment is required. If you have insufficient permission to install, please ask your system administrator. TrainDB includes the TrainDB ML model library as a submodule. The following requirements must be satisfied for operation.

TrainDB

Java 11+
Maven 3.x
SQLite3 (or other DBMS for catalog store, supported by datanucleus)

TrainDB ML Model Library

Python 3.8 or 3.9
Python virtual environment manager, such as pyenv (optional)
Packages used by ML models, such as pytorch - install requirements.txt
- Using pip: pip install -r traindb-model/requirements.txt

Installation

Download

The public repository of TrainDB is https://github.com/traindb-project/traindb. You can download the released file from the address, or you can clone using git as shown below.

$ git clone --recurse-submodules https://github.com/traindb-project/traindb.git

Build

You can build TrainDB using Maven as shown below.

$ cd traindb
$ mvn package

Then, the file traindb-x.y.tar.gz is created in the traindb-assembly/target directory. You can unzip it as shown below.

$ tar xvfz traindb-assembly/target/traindb-*.tar.gz