https://github.com/wklee610/datapush

MySQL Data Generator
https://github.com/wklee610/datapush

automatic data data-generator database dataset db dynamically generator mysql test testing-tools

Last synced: about 2 months ago
JSON representation

MySQL Data Generator

• Host: GitHub
• URL: https://github.com/wklee610/datapush
• Owner: wklee610
• License: mit
• Created: 2024-11-08T15:22:31.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-18T14:33:44.000Z (about 2 months ago)
• Last Synced: 2024-11-18T15:48:37.891Z (about 2 months ago)
• Topics: automatic, data, data-generator, database, dataset, db, dynamically, generator, mysql, test, testing-tools
• Language: Python
• Homepage:
• Size: 8.79 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Datapush

Datapush is a Python package that generate data to MySQL Database dynamically.  

When you need data for MySQL for some reasons (for test), and too lazy to make mock data, here is the answer.  

***Just enter your table, datapush will check each column and automatically generate the appropriate data!***

## Download

```bash

pip install datapush

```

## Usage

```python

# Connect to db

conn = datapush.mysql.connect(

    host='localhost',

    port=3306,

    user='root',

    password='',

    database=''

)

# Make generator with connection

generator = datapush.Generator(conn)

# Generate!

generator.generate(

    table='example_table'

)

```

## Option

In generator.generate(), there has several options.

    Args:

        - table         (str): The name of the table.

        - count         (int): The number of data you want to generate. (default: 10)

        - **option      (dict): Some specific data for each column

                        you want to generate (uuid, username, ip, etc...)  

                        ex) user=id, uuid=uuid, ip_address=ip,   

                        ex) column_name=type

## Extra Usage

```python

generator.generate(

    table='example_table',

    count=1000,

    char_col='ip',          # column_name is char_col and make unique ip

    text_col='id',          # column_name is text_col and make unique id

    varchar_col='uuid'      # column_name is varchar_col and make unique uuid

)

```

## Note

Currently, we don't support spartial data type (geometry, point, polygon etc...)