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

pip install jsontableschema-sql

Package implements Tabular Storage interface.

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

from sqlalchemy import create_engine
from jsontableschema_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)

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

SQLAlchemy is used - docs.

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

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