Metadata-Version: 2.1
Name: pgcopy
Version: 1.4.2
Summary: Fast db insert with postgresql binary copy
Home-page: https://pgcopy.readthedocs.io/en/latest/
Author: Aryeh Leib Taurog
Author-email: python@aryehleib.com
License: MIT
Description: .. home-start
        
        pgcopy
        =======
        
        .. image:: https://travis-ci.org/altaurog/pgcopy.svg?branch=master
            :target: https://travis-ci.org/altaurog/pgcopy
        
        .. image:: https://coveralls.io/repos/github/altaurog/pgcopy/badge.svg?branch=master
            :target: https://coveralls.io/github/altaurog/pgcopy?branch=master
        
        .. image:: https://img.shields.io/pypi/l/pgcopy.svg
            :target: https://pypi.org/project/pgcopy/
        
        .. image:: https://img.shields.io/pypi/wheel/pgcopy.svg
            :target: https://pypi.org/project/pgcopy/
        
        .. image:: https://img.shields.io/pypi/pyversions/pgcopy.svg
            :target: https://pypi.org/project/pgcopy/
        
        Use pgcopy_ for fast data loading into
        PostgreSQL with `binary copy`_.
        
        .. _binary copy: http://www.postgresql.org/docs/9.3/static/sql-copy.html
        .. _pgcopy: https://pgcopy.readthedocs.io/en/latest/
        
        Features
        ---------
        * Support for many data types
        * Support for multi-dimensional array types
        * Support for schema and schema search path
        * Transparent string encoding
        * Utility for replacing entire table
        
        Quickstart
        -----------
        
        .. quickstart-start
        
        ::
        
            from datetime import datetime
            from pgcopy import CopyManager
            import psycopg2
            cols = ('id', 'timestamp', 'location', 'temperature')
            now = datetime.now()
            records = [
                    (0, now, 'Jerusalem', 72.2),
                    (1, now, 'New York', 75.6),
                    (2, now, 'Moscow', 54.3),
                ]
            conn = psycopg2.connect(database='weather_db')
            mgr = CopyManager(conn, 'measurements_table', cols)
            mgr.copy(records)
        
            # don't forget to commit!
            conn.commit()
        
        .. home-end
        
        Supported datatypes
        -------------------
        
        pgcopy supports the following PostgreSQL scalar types:
        
        * bool
        * smallint
        * integer
        * bigint
        * real
        * double precision
        * char
        * varchar
        * text
        * bytea
        * date
        * time
        * timestamp
        * timestamp with time zone
        * numeric
        * json
        * jsonb
        * uuid
        * arrays
        
        Documentation
        --------------
        
        `Read the docs.`_
        
        .. _Read the docs.: pgcopy_
        
        See Also
        --------
        
        cpgcopy_, a Cython implementation, about twice as fast.
        
        
        .. _binary copy: http://www.postgresql.org/docs/9.3/static/sql-copy.html
        .. _psycopg2: https://pypi.org/project/psycopg2/
        .. _pytz: https://pypi.org/project/pytz/
        .. _pytest: https://pypi.org/project/pytest/
        .. _cpgcopy: https://github.com/altaurog/cpgcopy
        .. _Tox: https://tox.readthedocs.io/en/latest/
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Topic :: Database
Description-Content-Type: text/x-rst
