This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

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-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 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.

Contributing

Please read the contribution guideline:

How to Contribute

Thanks!

Release History

Release History

0.3.0

This version

History Node

TODO: Figure out how to actually get changelog content.

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0.2.3

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0.2.2

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0.2.1

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0.2.0

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0.1.2

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0.1.1

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
jsontableschema_sql-0.3.0-py2.py3-none-any.whl (8.6 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Oct 26, 2016
jsontableschema-sql-0.3.0.tar.gz (7.7 kB) Copy SHA256 Checksum SHA256 Source Oct 26, 2016

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