Queuelib is a collection of persistent (disk-based) queues for Python.
Queuelib goals are speed and simplicity. It was originally part of the Scrapy framework and stripped out on its own library.
Note: Queuelib isn't thread-safe.
- Python 2.7 or Python 3.3
- no external library requirements
You can install Queuelib either via the Python Package Index (PyPI) or from source.
To install using pip:
$ pip install queuelib
To install using easy_install:
$ easy_install queuelib
If you have downloaded a source tarball you can install it by running the following (as root):
# python setup.py install
FIFO/LIFO disk queues
Queuelib provides FIFO and LIFO queue implementations.
Here is an example usage of the FIFO queue:
>>> from queuelib import FifoDiskQueue >>> q = FifoDiskQueue("queuefile") >>> q.push(b'a') >>> q.push(b'b') >>> q.push(b'c') >>> q.pop() b'a' >>> q.close() >>> q = FifoDiskQueue("queuefile") >>> q.pop() b'b' >>> q.pop() b'c' >>> q.pop() >>>
The LIFO queue is identical (API-wise), but importing
A discrete-priority queue implemented by combining multiple FIFO/LIFO queues (one per priority).
First, select the type of queue to be used per priority (FIFO or LIFO):
>>> from queuelib import FifoDiskQueue >>> qfactory = lambda priority: FifoDiskQueue('queue-dir-%s' % priority)
Then instantiate the Priority Queue with it:
>>> from queuelib import PriorityQueue >>> pq = PriorityQueue(qfactory)
And use it:
>>> pq.push(b'a', 3) >>> pq.push(b'b', 1) >>> pq.push(b'c', 2) >>> pq.push(b'd', 2) >>> pq.pop() b'b' >>> pq.pop() b'c' >>> pq.pop() b'd' >>> pq.pop() b'a'
Use the scrapy-users mailing list for questions about Queuelib.
If you have any suggestions, bug reports or annoyances please report them to our issue tracker at: http://github.com/scrapy/queuelib/issues/
Development of Queuelib happens at GitHub: http://github.com/scrapy/queuelib
You are highly encouraged to participate in the development. If you don't like GitHub (for some reason) you're welcome to send regular patches.
All changes require tests to be merged.
Tests are located in queuelib/tests directory. They can be run using nosetests with the following command:
The output should be something like the following:
$ nosetests ............................................................................. ---------------------------------------------------------------------- Ran 77 tests in 0.145s OK
This software is licensed under the BSD License. See the LICENSE file in the top distribution directory for the full license text.
This software follows Semantic Versioning