tableschema-sql 0.9.0

Generate SQL tables, load and extract data, based on JSON Table Schema descriptors.

Generate and load SQL tables based on JSON Table Schema descriptors.

Version v0.3 contains breaking changes:

• renamed Storage.tables to Storage.buckets

• changed Storage.read to read into memory

• added Storage.iter to yield row by row

Getting Started

Installation

pip install tableschema-sql

Storage

Package implements Tabular Storage interface.

SQLAlchemy is used as sql wrapper. We can get storage this way:

from sqlalchemy import create_engine
from tableschema_sql import Storage

engine = create_engine('sqlite:///:memory:', prefix='prefix')
storage = Storage(engine)

Then we could interact with storage:

storage.buckets
storage.create('bucket', descriptor)
storage.delete('bucket')
storage.describe('bucket') # return descriptor
storage.iter('bucket') # yield rows
storage.read('bucket') # return rows
storage.write('bucket', rows)

Mappings

schema.json -> SQL table schema
data.csv -> SQL talbe data

Drivers

SQLAlchemy is used - docs.

API Reference

Snapshot

https://github.com/frictionlessdata/jsontableschema-py#snapshot

Detailed

• Docstrings

• Changelog

Contributing

Please read the contribution guideline:

How to Contribute

Thanks!