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 jsontableschema-sqlStorage
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)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
Contributing
Please read the contribution guideline:
Thanks!
Release files for jsontableschema-sql 0.8.0
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