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ipython-sql 0.3.4

RDBMS access via IPython

Latest Version: 0.3.6

===========
ipython-sql
===========

:Author: Catherine Devlin, http://catherinedevlin.blogspot.com

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

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

.. image:: https://raw.github.com/catherinedevlin/ipython-sql/master/examples/writers.png
:width: 600px
:alt: screenshot of ipython-sql in the Notebook

Examples::

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::

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

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::

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::

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.

::

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)

Connecting
----------

Connection strings are `SQLAlchemy`_ standard.

Some example connection strings::

mysql+pymysql://scott:tiger@localhost/foo
oracle://scott:tiger@127.0.0.1:1521/sidname
sqlite://
sqlite:///foo.db

.. _SQLAlchemy: http://docs.sqlalchemy.org/en/latest/core/engines.html

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::

mysql+pymysql://scott:tiger@localhost/foo?charset=utf8

Configuration
-------------

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.

::

In [2]: %config SqlMagic
SqlMagic options
--------------
SqlMagic.autolimit=<int>
Current: 0
Automatically limit the size of the returned result sets
SqlMagic.autopandas=<bool>
Current: False
Return Pandas DataFrames instead of regular result sets
SqlMagic.displaylimit=<int>
Current: 0
Automatically limit the number of rows displayed (full result set is still
stored)
SqlMagic.feedback=<bool>
Current: True
Print number of rows affected by DML
SqlMagic.short_errors=<bool>
Current: True
Don't display the full traceback on SQL Programming Error
SqlMagic.style=<unicode>
Current: 'DEFAULT'
Set the table printing style to any of prettytable's defined styles
(currently DEFAULT, MSWORD_FRIENDLY, PLAIN_COLUMNS, RANDOM)

In[3]: %config SqlMagic.feedback = False

Pandas
------

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

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.

In [5]: %sql PERSIST dataframe

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

.. _pandas: http://pandas.pydata.org/

Graphing
--------

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

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

In[6]: %matplotlib inline

In[7]: result.pie()

.. image:: https://raw.github.com/catherinedevlin/ipython-sql/master/examples/wordcount.png
:alt: pie chart of word count of Shakespeare's comedies


Installing
----------

Install the lastest release with:

pip install ipython-sql

or download from https://github.com/catherinedevlin/ipython-sql and:

cd ipython-sql
sudo python setup.py install

Dumping
-------

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.

Development
-----------

https://github.com/catherinedevlin/ipython-sql

Credits
-------

- Matthias Bussonnier for help with configuration
- Olivier Le Thanh Duong for %config fixes and improvements
- [Distribute]http://pypi.python.org/pypi/distribute
- [Buildout]http://www.buildout.org/
- [modern-package-template]http://pypi.python.org/pypi/modern-package-template
- Mike Wilson for bind variable code
- Thomas Kluyver and Steve Holden for debugging help
- Berton Earnshaw for DSN connection syntax


News
====

0.1
---

*Release date: 21-Mar-2013*

* Initial release

0.1.1
-----

*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


0.1.2
-----

*Release date: 29-Mar-2013*

* Python 3 compatibility

* use prettyprint package

* allow multiple SQL per cell

0.2.0
-----

*Release date: 30-May-2013*

* Accept bind variables (Thanks Mike Wilson!)

0.2.1
-----

*Release date: 15-June-2013*

* Recognize socket connection strings

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

0.2.2
-----

*Release date: 30-July-2013*

Converted from an IPython Plugin to an Extension for 1.0 compatibility

0.2.2.1
-------

*Release date: 01-Aug-2013*

Deleted Plugin import left behind in 0.2.2

0.2.3
-----

*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

0.3.0
-----

*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

0.3.1
-----

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

* Local variables usable as SQL bind variables

0.3.2
-----

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

0.3.3
-----

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

0.3.4
-----

* PERSIST pseudo-SQL command added  
File Type Py Version Uploaded on Size
ipython-sql-0.3.4.tar.gz (md5) Source 2014-08-26 10KB
ipython_sql-0.3.4-py3.4.egg (md5) Python Egg 3.4 2014-08-26 22KB
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