README

Qubole Data Service Python SDK
==============================

A Python module that provides the tools you need to authenticate with, and use the Qubole Data Service API.


Installation
------------

Run the following command (may need to do this as root):

        $ python setup.py install


This should place a command line utility 'qds.py' somewhere in your path

        $ which qds.py
        /usr/bin/qds.py 


CLI
---

qds.py allows running Hive, Hadoop, Pig and Shell commands against QDS. Users can run commands synchronously - or submit a command and check it's status.

        $ qds.py -h # will print detailed usage

Examples:

1.  run a hive query and print the results

        $ qds.py --token 'xxyyzz' hivecmd run --query "show tables"
        $ qds.py --token 'xxyyzz' hivecmd run --script_location /tmp/myquery
        $ qds.py --token 'xxyyzz' hivecmd run --script_location s3://my-qubole-location/myquery

2.  pass in api token from bash environment variable

        $ export QDS_API_TOKEN=xxyyzz

3.  run the example hadoop command

        $ qds.py hadoopcmd run streaming -files 's3n://paid-qubole/HadoopAPIExamples/WordCountPython/mapper.py,s3n://paid-qubole/HadoopAPIExamples/WordCountPython/reducer.py' -mapper mapper.py -reducer reducer.py -numReduceTasks 1 -input 's3n://paid-qubole/default-datasets/gutenberg' -output 's3n://example.bucket.com/wcout'

4.  check the status of command # 12345678

        $ qds.py hivecmd check 12345678
        {"status": "done", ... }


SDK API
-------

An example Python application needs to do the following:

1.  Set the api_token:

        from qds_sdk.qubole import Qubole

        Qubole.configure(api_token='ksbdvcwdkjn123423')

2.  Use the Command classes defined in commands.py to execute commands. To run Hive Command:

        from qds_sdk.commands import *

        hc=HiveCommand.create(query='show tables')
        print "Id: %s, Status: %s" % (str(hc.id), hc.status)

example/mr_1.py contains a Hadoop Streaming example