https://github.com/linkdd/link.parallel
Parallel computing framework
https://github.com/linkdd/link.parallel
map-reduce parallel-computing pure-python
Last synced: 3 months ago
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Parallel computing framework
- Host: GitHub
- URL: https://github.com/linkdd/link.parallel
- Owner: linkdd
- Created: 2016-06-12T17:06:51.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2016-09-15T14:39:10.000Z (almost 9 years ago)
- Last Synced: 2025-03-14T20:48:10.311Z (3 months ago)
- Topics: map-reduce, parallel-computing, pure-python
- Language: Python
- Size: 23.4 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
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README
link.parallel
=============**link.parallel** is a database agnostic query system.
See documentation_ for more informations.
.. _documentation: https://linkparallel.readthedocs.io
.. image:: https://img.shields.io/pypi/l/link.parallel.svg?style=flat-square
:target: https://pypi.python.org/pypi/link.parallel/
:alt: License.. image:: https://img.shields.io/pypi/status/link.parallel.svg?style=flat-square
:target: https://pypi.python.org/pypi/link.parallel/
:alt: Development Status.. image:: https://img.shields.io/pypi/v/link.parallel.svg?style=flat-square
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:alt: Latest release.. image:: https://img.shields.io/pypi/pyversions/link.parallel.svg?style=flat-square
:target: https://pypi.python.org/pypi/link.parallel/
:alt: Supported Python versions.. image:: https://img.shields.io/pypi/implementation/link.parallel.svg?style=flat-square
:target: https://pypi.python.org/pypi/link.parallel/
:alt: Supported Python implementations.. image:: https://img.shields.io/pypi/wheel/link.parallel.svg?style=flat-square
:target: https://pypi.python.org/pypi/link.parallel
:alt: Download format.. image:: https://travis-ci.org/linkdd/link.parallel.svg?branch=master&style=flat-square
:target: https://travis-ci.org/linkdd/link.parallel
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:target: https://landscape.io/github/linkdd/link.parallel/master
:alt: Code HealthInstallation
------------.. code-block:: text
pip install link.parallel
Features
--------* parallel loops interface with IPython and multiprocessing drivers
* Map/Reduce middlewareExamples
--------Create your map/reduce functions:
.. code-block:: python
from b3j0f.task import register_task
@register_task('mymap')
def mymap(mapper, item):
if item['i'] < 5:
mapper.emit('i_lt_5', item)elif item['i'] > 5:
mapper.emit('i_gt_5', item)else:
mapper.emit('i_eq_5', item)@register_task('myreduce')
def myreduce(key, values):
return (key, len(values))Get input data and pass it to the middleware:
.. code-block:: python
from link.middleware.core import Middleware
mapreduce = Middleware.get_middleware_by_uri(
'mapreduce+ipython:///test/classify?mapcb=mymap&reducecb=myreduce'
)items = # load items
result = dict(mapreduce(items))print(result)
Donating
--------.. image:: https://liberapay.com/assets/widgets/donate.svg
:target: https://liberapay.com/linkdd/donate
:alt: Support via Liberapay