This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

RDBMS access via IPython

Project Description

:Author: Catherine Devlin,

Introduces a %sql (or %%sql) magic.

Connect to a database, using SQLAlchemy connect strings, then issue SQL
commands within IPython or IPython Notebook.

.. image::
:width: 600px
:alt: screenshot of ipython-sql in the Notebook


.. code-block:: python

In [1]: %load_ext sql

In [2]: %%sql postgresql://will:longliveliz@localhost/shakes
...: select * from character
...: where abbrev = 'ALICE'
Out[2]: [(u'Alice', u'Alice', u'ALICE', u'a lady attending on Princess Katherine', 22)]

In [3]: result = _

In [4]: print(result)
charid charname abbrev description speechcount
Alice Alice ALICE a lady attending on Princess Katherine 22

In [4]: result.keys
Out[5]: [u'charid', u'charname', u'abbrev', u'description', u'speechcount']

In [6]: result[0][0]
Out[6]: u'Alice'

In [7]: result[0].description
Out[7]: u'a lady attending on Princess Katherine'

After the first connection, connect info can be omitted::

In [8]: %sql select count(*) from work
Out[8]: [(43L,)]

Connections to multiple databases can be maintained. You can refer to
an existing connection by username@database

.. code-block:: python

In [9]: %%sql will@shakes
...: select charname, speechcount from character
...: where speechcount = (select max(speechcount)
...: from character);
Out[9]: [(u'Poet', 733)]

In [10]: print(_)
charname speechcount
Poet 733

For secure access, you may dynamically access your credentials (e.g. from your system environment or `getpass.getpass`) to avoid storing your password in the notebook itself. Use the `$` before any variable to access it in your `%sql` command.

.. code-block:: python

In [11]: user = os.getenv('SOME_USER')
....: password = os.getenv('SOME_PASSWORD')
....: connection_string = "postgresql://{user}:{password}@localhost/some_database".format(user=user, password=password)
....: %sql $connection_string
Out[11]: u'Connected: some_user@some_database'

You may use multiple SQL statements inside a single cell, but you will
only see any query results from the last of them, so this really only
makes sense for statements with no output

.. code-block:: python

In [11]: %%sql sqlite://
....: CREATE TABLE writer (first_name, last_name, year_of_death);
....: INSERT INTO writer VALUES ('William', 'Shakespeare', 1616);
....: INSERT INTO writer VALUES ('Bertold', 'Brecht', 1956);
Out[11]: []

Bind variables (bind parameters) can be used in the "named" (:x) style.
The variable names used should be defined in the local namespace

.. code-block:: python

In [12]: name = 'Countess'

In [13]: %sql select description from character where charname = :name
Out[13]: [(u'mother to Bertram',)]

As a convenience, dict-style access for result sets is supported, with the
leftmost column serving as key, for unique values.

.. code-block:: python

In [14]: result = %sql select * from work
43 rows affected.

In [15]: result['richard2']
Out[15]: (u'richard2', u'Richard II', u'History of Richard II', 1595, u'h', None, u'Moby', 22411, 628)


Connection strings are `SQLAlchemy`_ standard.

Some example connection strings::


.. _SQLAlchemy:

Note that ``mysql`` and ``mysql+pymysql`` connections (and perhaps others)
don't read your client character set information from .my.cnf. You need
to specify it in the connection string::



Query results are loaded as lists, so very large result sets may use up
your system's memory and/or hang your browser. There is no autolimit
by default. However, `autolimit` (if set) limits the size of the result
set (usually with a `LIMIT` clause in the SQL). `displaylimit` is similar,
but the entire result set is still pulled into memory (for later analysis);
only the screen display is truncated.

.. code-block:: python

In [2]: %config SqlMagic
SqlMagic options
Current: 0
Automatically limit the size of the returned result sets
Current: False
Return Pandas DataFrames instead of regular result sets
Current: 0
Automatically limit the number of rows displayed (full result set is still
Current: True
Print number of rows affected by DML
Current: True
Don't display the full traceback on SQL Programming Error<Unicode>
Current: 'DEFAULT'
Set the table printing style to any of prettytable's defined styles

In[3]: %config = False


If you have installed ``pandas``, you can use a result set's
``.DataFrame()`` method

.. code-block:: python

In [3]: result = %sql SELECT * FROM character WHERE speechcount > 25

In [4]: dataframe = result.DataFrame()

The bogus non-standard pseudo-SQL command ``PERSIST`` will create a table name
in the database from the named DataFrame.

.. code-block:: python

In [5]: %sql PERSIST dataframe

In [6]: %sql SELECT * FROM dataframe;

.. _Pandas:


If you have installed ``matplotlib``, you can use a result set's
``.plot()``, ``.pie()``, and ``.bar()`` methods for quick plotting

.. code-block:: python

In[5]: result = %sql SELECT title, totalwords FROM work WHERE genretype = 'c'

In[6]: %matplotlib inline

In[7]: result.pie()

.. image::
:alt: pie chart of word count of Shakespeare's comedies


Install the lastest release with::

pip install ipython-sql

or download from and::

cd ipython-sql
sudo python install


Result sets come with a ``.csv(filename=None)`` method. This generates
comma-separated text either as a return value (if ``filename`` is not
specified) or in a file of the given name.



- Matthias Bussonnier for help with configuration
- Olivier Le Thanh Duong for ``%config`` fixes and improvements
- Distribute_
- Buildout_
- modern-package-template_
- Mike Wilson for bind variable code
- Thomas Kluyver and Steve Holden for debugging help
- Berton Earnshaw for DSN connection syntax
- Andrés Celis for SQL Server bugfix

.. _Distribute:
.. _Buildout:
.. _modern-package-template:



*Release date: 21-Mar-2013*

* Initial release


*Release date: 29-Mar-2013*

* Release to PyPI

* Results returned as lists

* print(_) to get table form in text console

* set autolimit and text wrap in configuration


*Release date: 29-Mar-2013*

* Python 3 compatibility

* use prettyprint package

* allow multiple SQL per cell


*Release date: 30-May-2013*

* Accept bind variables (Thanks Mike Wilson!)


*Release date: 15-June-2013*

* Recognize socket connection strings

* Bugfix - issue 4 (remember existing connections by case)


*Release date: 30-July-2013*

Converted from an IPython Plugin to an Extension for 1.0 compatibility

*Release date: 01-Aug-2013*

Deleted Plugin import left behind in 0.2.2


*Release date: 20-Sep-2013*

* Contributions from Olivier Le Thanh Duong:

- SQL errors reported without internal IPython error stack

- Proper handling of configuration

* Added .DataFrame(), .pie(), .plot(), and .bar() methods to
result sets


*Release date: 13-Oct-2013*

* displaylimit config parameter

* reports number of rows affected by each query

* test suite working again

* dict-style access for result sets by primary key


* Reporting of number of rows affected configurable with ``feedback``

* Local variables usable as SQL bind variables


* ``.csv(filename=None)`` method added to result sets


* Python 3 compatibility restored
* DSN access supported (thanks Berton Earnshaw)


* PERSIST pseudo-SQL command added


* Indentations visible in HTML cells
* COMMIT each SQL statement immediately - prevent locks


* Fixed issue #30, commit failures for sqlite (thanks stonebig, jandot)


* New `column_local_vars` config option submitted by darikg
* Avoid contaminating user namespace from locals (thanks alope107)

* Avoid "connection busy" error for SQL Server (thanks Andrés Celis)


* Stop warnings for deprecated use of IPython 3 traitlets in IPython 4 (thanks graphaelli; also stonebig, aebrahim, mccahill)
* README update for keeping connection info private, from eshilts
Release History

Release History

This version
History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node

History Node


History Node


History Node


History Node

History Node

History Node


Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
ipython_sql-0.3.8-py3-none-any.whl (18.0 kB) Copy SHA256 Checksum SHA256 py3 Wheel Oct 9, 2016
ipython-sql-0.3.8.tar.gz (12.8 kB) Copy SHA256 Checksum SHA256 Source Oct 9, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting