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        "author": "Open Knowledge Foundation",
        "author_email": "info@okfn.org",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
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        "description": "# tableschema-sql-py\n\n[![Travis](https://img.shields.io/travis/frictionlessdata/tableschema-sql-py/master.svg)](https://travis-ci.org/frictionlessdata/tableschema-sql-py)\n[![Coveralls](http://img.shields.io/coveralls/frictionlessdata/tableschema-sql-py/master.svg)](https://coveralls.io/r/frictionlessdata/tableschema-sql-py?branch=master)\n[![PyPi](https://img.shields.io/pypi/v/tableschema-sql.svg)](https://pypi.python.org/pypi/tableschema-sql)\n[![Github](https://img.shields.io/badge/github-master-brightgreen)](https://github.com/frictionlessdata/tableschema-sql-py)\n[![Gitter](https://img.shields.io/gitter/room/frictionlessdata/chat.svg)](https://gitter.im/frictionlessdata/chat)\n\nGenerate and load SQL tables based on [Table Schema](http://specs.frictionlessdata.io/table-schema/) descriptors.\n\n## Features\n\n- implements `tableschema.Storage` interface\n- provides additional features like indexes and updating\n\n## Contents\n\n<!--TOC-->\n\n  - [Getting Started](#getting-started)\n    - [Installation](#installation)\n  - [Documentation](#documentation)\n  - [API Reference](#api-reference)\n    - [`Storage`](#storage)\n  - [Contributing](#contributing)\n  - [Changelog](#changelog)\n\n<!--TOC-->\n\n## Getting Started\n\n### Installation\n\nThe package use semantic versioning. It means that major versions  could include breaking changes. It's highly recommended to specify `package` version range in your `setup/requirements` file e.g. `package>=1.0,<2.0`.\n\n```bash\npip install tableschema-sql\n```\n\n## Documentation\n\n```python\nfrom datapackage import Package \nfrom tableschema import Table\nfrom sqlalchemy import create_engine\n\n# Create sqlalchemy engine\nengine = create_engine('sqlite://')\n\n# Save package to SQL\npackage = Package('datapackage.json')\npackage.save(storage='sql', engine=engine)\n\n# Load package from SQL\npackage = Package(storage='sql', engine=engine)\npackage.resources\n```\n\n## API Reference\n\n### `Storage`\n```python\nStorage(self, engine, dbschema=None, prefix='', reflect_only=None, autoincrement=None)\n```\nSQL storage\n\nPackage implements\n[Tabular Storage](https://github.com/frictionlessdata/tableschema-py#storage)\ninterface (see full documentation on the link):\n\n![Storage](https://i.imgur.com/RQgrxqp.png)\n\n> Only additional API is documented\n\n__Arguments__\n- __engine (object)__: `sqlalchemy` engine\n- __dbschema (str)__: name of database schema\n- __prefix (str)__: prefix for all buckets\n- __reflect_only (callable)__:\n        a boolean predicate to filter the list of table names when reflecting\n- __autoincrement (str/dict)__:\n        add autoincrement column at the beginning.\n          - if a string it's an autoincrement column name\n          - if a dict it's an autoincrements mapping with column\n            names indexed by bucket names, for example,\n            `{'bucket1': 'id', 'bucket2': 'other_id}`\n\n\n#### `storage.create`\n```python\nstorage.create(self, bucket, descriptor, force=False, indexes_fields=None)\n```\nCreate bucket\n\n__Arguments__\n- __indexes_fields (str[])__:\n        list of tuples containing field names, or list of such lists\n\n\n#### `storage.write`\n```python\nstorage.write(self, bucket, rows, keyed=False, as_generator=False, update_keys=None, buffer_size=1000, use_bloom_filter=True)\n```\nWrite to bucket\n\n__Arguments__\n- __keyed (bool)__:\n        accept keyed rows\n- __as_generator (bool)__:\n        returns generator to provide writing control to the client\n- __update_keys (str[])__:\n        update instead of inserting if key values match existent rows\n- __buffer_size (int=1000)__:\n        maximum number of rows to try and write to the db in one batch\n- __use_bloom_filter (bool=True)__:\n        should we use a bloom filter to optimize DB update performance\n        (in exchange for some setup time)\n\n\n## Contributing\n\n> The project follows the [Open Knowledge International coding standards](https://github.com/okfn/coding-standards).\n\nRecommended way to get started is to create and activate a project virtual environment.\nTo install package and development dependencies into active environment:\n\n```bash\n$ make install\n```\n\nTo run tests with linting and coverage:\n\n```bash\n$ make test\n```\n\n## Changelog\n\nHere described only breaking and the most important changes. The full changelog and documentation for all released versions could be found in nicely formatted [commit history](https://github.com/frictionlessdata/tableschema-sql-py/commits/master).\n\n#### v1.3\n\n- Implemented constraints loading to a database\n\n#### v1.2\n\n- Add option to configure buffer size, bloom filter use (#77)\n\n#### v1.1\n\n- Added support for the `autoincrement` parameter to be a mapping\n- Fixed autoincrement support for SQLite and MySQL\n\n#### v1.0\n\n- Initial driver implementation.\n\n",
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