fake2db Data Generation Tool

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Table of Contents

• Repository Introduction
• Prerequisites
• Image Description
• Get Help
• How to Contribute

Repository Introduction

fake2db is a tool for generating mock database data.

Core Features:

• Multi-database Support:
  • Supports various mainstream database systems such as SQLite, MySQL, PostgreSQL, MongoDB, Redis, CouchDB, etc.
  • Specify database type, connection information (host, port, username, etc.) and data volume through command-line parameters.
• Data Generation Mechanism:
  • Relies on the fake-factory (now named Faker) library to generate realistic test data, such as names, addresses, emails, etc.
  • Supports localization settings (e.g., --locale cs_CZ to generate Czech data) and random seeds (--seed) to ensure data reproducibility.
  • Allows custom data columns (--custom) to meet specific testing scenario requirements.

The open-source image product fake2db Data Generation Tool provided by this project has pre-installed Neo4j and its related operating environment, and offers deployment templates. Follow the user guide to easily start an "out-of-the-box" efficient experience.

System Requirements:

• CPU: 2GHz or higher
• RAM: 4GB or larger
• Disk: At least 40GB

Prerequisites

Register a Huawei account and activate Huawei Cloud

Image Description

Image Specification	Feature Description	Remarks
fake2db-1.0.0-kunpeng	Installed and deployed based on Kunpeng server + Huawei Cloud EulerOS 2.0 64bit

Get Help

• For more questions, you can contact us through issue or the service support of the designated product in the Huawei Cloud Market.
• Other open-source images can be found in open-source-image-repos

How to Contribute

• Fork this repository and submit a pull request
• Synchronously update README.md based on your open-source image information