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Relational: Just Write SQL
==========================
Records: Just Write SQL
=======================
Relational is a very simple, but powerful, library for making raw SQL queries
Records is a very simple, but powerful, library for making raw SQL queries
to Postgres Databases.
This common task can be surprisingly difficult with the standard tools available.
@@ -12,9 +12,9 @@ We know how to write SQL, so let's send some to our database:
.. code:: python
import relational
import records
db = relational.Database('postgres://...')
db = records.Database('postgres://...')
rows = db.query('select * from active_users') # or db.query_file('sqls/active-users.sql')
Rows are represented as standard Python dictionaries (``{'column-name': 'value'}``). Grab one row at a time:
@@ -48,13 +48,13 @@ Features
- Queries can be passed as strings or filenames, parameters supported.
- Query results are iterators of standard Python dictionaries (``{'column-name': 'value'}``)
Relational is powered by `psycopg2 <https://pypi.python.org/pypi/psycopg2>`_
Records is powered by `psycopg2 <https://pypi.python.org/pypi/psycopg2>`_
and `Tablib <http://docs.python-tablib.org/en/latest/>`_.
Data Export Functionality
-------------------------
Relational also features full Tablib integration, and allows you to export
Records also features full Tablib integration, and allows you to export
your results to CSV, XLS, JSON, or YAML with a single line of code. Excellent
for sharing data with friends, or generating reports.