Download & Installation¶
The latest released version can be obtained from the Python Package Index (PyPI). To extract the install the module system-wide run
$ tar cvfz python-sqlparse-VERSION.tar.gz $ cd python-sqlparse/ $ sudo python setup.py install
Alternatively you can install
sqlparse using pip:
$ pip install sqlparse
sqlparse module provides three simple functions on module level
to achieve some common tasks when working with SQL statements.
This section shows some simple usage examples of these functions.
Let’s get started with splitting a string containing one or more SQL
statements into a list of single statements using
>>> import sqlparse >>> sql = 'select * from foo; select * from bar;' >>> sqlparse.split(sql) [u'select * from foo; ', u'select * from bar;']
The end of a statement is identified by the occurrence of a semicolon.
Semicolons within certain SQL constructs like
BEGIN ... END blocks
are handled correctly by the splitting mechanism.
SQL statements can be beautified by using the
>>> sql = 'select * from foo where id in (select id from bar);' >>> print sqlparse.format(sql, reindent=True, keyword_case='upper') SELECT * FROM foo WHERE id IN (SELECT id FROM bar);
In this case all keywords in the given SQL are uppercased and the indentation is changed to make it more readable. Read Formatting of SQL Statements for a full reference of supported options given as keyword arguments to that function.
Before proceeding with a closer look at the internal representation of SQL statements, you should be aware that this SQL parser is intentionally non-validating. It assumes that the given input is at least some kind of SQL and then it tries to analyze as much as possible without making too much assumptions about the concrete dialect or the actual statement. At least it’s up to the user of this API to interpret the results right.
>>> sql = 'select * from "someschema"."mytable" where id = 1' >>> parsed = sqlparse.parse(sql) >>> parsed (<Statement 'select...' at 0x9ad08ec>,)
Each item of the tuple is a single statement as identified by the above
split() function. So let’s grab the only element
from that list and have a look at the
Sub-tokens are stored in this attribute.
>>> stmt = parsed # grab the Statement object >>> stmt.tokens (<DML 'select' at 0x9b63c34>, <Whitespace ' ' at 0x9b63e8c>, <Operator '*' at 0x9b63e64>, <Whitespace ' ' at 0x9b63c5c>, <Keyword 'from' at 0x9b63c84>, <Whitespace ' ' at 0x9b63cd4>, <Identifier '"somes...' at 0x9b5c62c>, <Whitespace ' ' at 0x9b63f04>, <Where 'where ...' at 0x9b5caac>)
Each object can be converted back to a string at any time:
>>> str(stmt) # str(stmt) for Python 3 'select * from "someschema"."mytable" where id = 1' >>> str(stmt.tokens[-1]) # or just the WHERE part 'where id = 1'
Details of the returned objects are described in Analyzing the Parsed Statement.
Development & Contributing¶
To check out the latest sources of this module run
$ git clone git://github.com/andialbrecht/sqlparse.git
to check out the latest sources from the repository.
Make sure to run the test suite before sending a pull request by running
It’s ok, if tox doesn’t find all interpreters listed above. Ideally a Python 2 and a Python 3 version should be tested locally.
Please file bug reports and feature requests on the project site at https://github.com/andialbrecht/sqlparse/issues/new or if you have code to contribute upload it to http://codereview.appspot.com and add firstname.lastname@example.org as reviewer.
For more information about the review tool and how to use it visit it’s project page: http://code.google.com/p/rietveld.