Metadata-Version: 1.1
Name: mrjob
Version: 0.2.8
Summary: Python MapReduce framework
Home-page: http://github.com/Yelp/mrjob
Author: David Marin
Author-email: dave@yelp.com
License: Apache
Description: mrjob
        =====
        
        mrjob is a Python package that helps you write and run Hadoop Streaming jobs.
        
        mrjob fully supports Amazon's Elastic MapReduce (EMR) service, which allows you to buy time on a Hadoop cluster on an hourly basis. It also works with your own Hadoop cluster.
        
        Some important features:
        
        * Run jobs on EMR, your own Hadoop cluster, or locally (for testing).
        * Write multi-step jobs (one map-reduce step feeds into the next)
        * Duplicate your production environment inside Hadoop
            * Upload your source tree and put it in your job's ``$PYTHONPATH``
            * Run make and other setup scripts
            * Set environment variables (e.g. ``$TZ``)
            * Easily install python packages from tarballs (EMR only)
            * Setup handled transparently by ``mrjob.conf`` config file
        * Automatically interpret error logs from EMR
        * SSH tunnel to hadoop job tracker on EMR
        * Minimal setup
            * To run on EMR, set ``$AWS_ACCESS_KEY_ID`` and ``$AWS_SECRET_ACCESS_KEY``
            * To run on your Hadoop cluster, install ``simplejson`` and make sure ``$HADOOP_HOME`` is set.
        
        Installation
        ============
        ``python setup.py install``
        
        Setting up EMR on Amazon
        ========================
        
        * create an Amazon Web Services account: <http://aws.amazon.com/>
        * sign up for Elastic MapReduce: <http://aws.amazon.com/elasticmapreduce/>
        * Get your access and secret keys (go to <http://aws.amazon.com/account/> and click on "Security Credentials")
        * Set the environment variables ``$AWS_ACCESS_KEY_ID`` and ``$AWS_SECRET_ACCESS_KEY`` accordingly
        
        Try it out!
        ===========
        
        ::
        
            # locally
            python mrjob/examples/mr_word_freq_count.py README.rst > counts
            # on EMR
            python mrjob/examples/mr_word_freq_count.py README.rst -r emr > counts
            # on your Hadoop cluster
            python mrjob/examples/mr_word_freq_count.py README.rst -r hadoop > counts
        
        Advanced Configuration
        ======================
        To run in other AWS regions, upload your source tree, run ``make``, and use 
        other advanced mrjob features, you'll need to set up ``mrjob.conf``. mrjob looks 
        for its conf file in:
        
        * ``~/.mrjob``
        * ``mrjob.conf`` anywhere in your ``$PYTHONPATH``
        * ``/etc/mrjob.conf``
        
        See ``mrjob.conf.example`` for more information.
        
        
        Links
        =====
        
        * source: <http://github.com/Yelp/mrjob>
        * documentation: <http://packages.python.org/mrjob/>
        * discussion group: <http://groups.google.com/group/mrjob>
        * Hadoop MapReduce: <http://hadoop.apache.org/mapreduce/>
        * Elastic MapReduce: <http://aws.amazon.com/documentation/elasticmapreduce/>
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.5
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: System :: Distributed Computing
Provides: mrjob
